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ORCIDAnastasios Tefas
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- affiliation: Aristotle University of Thessaloniki, Greece
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2020 – today
- 2024
[j154]Paraskevi Nousi
, Anastasios Tefas:
Deep label embedding learning for classification. Appl. Soft Comput. 163: 111925 (2024)- [j153]Loukia Avramelou, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas:
Deep reinforcement learning for financial trading using multi-modal features. Expert Syst. Appl. 238(Part C): 121849 (2024) - [j152]Manos Kirtas, Nikolaos Passalis, Anastasios Tefas:
Multiplicative update rules for accelerating deep learning training and increasing robustness. Neurocomputing 576: 127352 (2024) - [j151]Ioannis Mademlis, Charalampos Symeonidis, Anastasios Tefas, Ioannis Pitas:
Vision-based drone control for autonomous UAV cinematography. Multim. Tools Appl. 83(8): 25055-25083 (2024) - [j150]Ourania Stentoumi, Paraskevi Nousi, Maria Tzelepi, Anastasios Tefas:
AnIO: anchored input-output learning for time-series forecasting. Neural Comput. Appl. 36(6): 2683-2693 (2024) - [j149]Nikolaos Karantaglis, Nikolaos Passalis, Anastasios Tefas:
Semi-supervised learning for on-street parking violation prediction using graph convolutional networks. Neural Comput. Appl. 36(31): 19643-19652 (2024) - [j148]Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis:
Vpit: real-time embedded single object 3D tracking using voxel pseudo images. Neural Comput. Appl. 36(32): 20341-20354 (2024) - [c287]Nikolaos Chandrinos, Michalis Amasialidis, Manos Kirtas, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas:
Quantization-Aware Training for Multi-Agent Reinforcement Learning. EUSIPCO 2024: 1891-1895 - [c286]Ioannis Bountouris, Nikolaos Passalis, Anastasios Tefas:
Probabilistic Knowledge Transfer for Lightweight Vision Transformers. EUSIPCO 2024: 1942-1946 - [c285]Miltiadis Moralis-Pegios, Apostolos Tsakyridis, Christos Pappas, Theodoros Moschos, George Giamougiannis, Stefanos Kovaios, Ioannis Roumpos, Manos Kirtas, Nikos Passalis, Anastasios Tefas, Nikos Pleros:
Optics-informed Neural Networks: Bridging Deep Learning with Photonic Accelerators. OFC 2024: 1-3 - [c284]Christos Pappas, Theodoros Moschos, Miltiadis Moralis-Pegios, George Giamougiannis, Apostolos Tsakyridis, Manos Kirtas, Nikolaos Passalis, Anastasios Tefas, Nikos Pleros:
A TeraFLOP Photonic Matrix Multiplier using Time-Space-Wavelength Multiplexed AWGR-based Architectures. OFC 2024: 1-3 - [i33]Konstantinos Gounis, Nikolaos Passalis, Anastasios Tefas:
UAV Active Perception and Motion Control for Improving Navigation Using Low-Cost Sensors. CoRR abs/2407.15122 (2024) - [i32]Manos Kirtas, Konstantinos Tsampazis, Loukia Avramelou, Nikolaos Passalis, Anastasios Tefas:
Using Part-based Representations for Explainable Deep Reinforcement Learning. CoRR abs/2408.11455 (2024) - 2023
- [j147]Styliani-Christina Fragkouli, Paraskevi Nousi, Nikolaos Passalis, Panagiotis Iosif, Nikolaos Stergioulas, Anastasios Tefas:
Deep residual error and bag-of-tricks learning for gravitational wave surrogate modeling. Appl. Soft Comput. 147: 110746 (2023) - [j146]Ioannis Mademlis, Arturo Torres-González, Jesús Capitán, Maurizio Montagnuolo, Alberto Messina, Fulvio Negro, Cédric Le Barz, Tiago Gonçalves, Rita Cunha, Bruno Joao Nogueira Guerreiro, Fan Zhang, Stephen Boyle, Gregoire Guerout, Anastasios Tefas, Nikos Nikolaidis, David Bull, Ioannis Pitas:
A multiple-UAV architecture for autonomous media production. Multim. Tools Appl. 82(2): 1905-1934 (2023) - [j145]Manos Kirtas, Nikolaos Passalis, Athina Oikonomou, Miltiadis Moralis-Pegios, George Giamougiannis, Apostolos Tsakyridis, George Mourgias-Alexandris, Nikolaos Pleros, Anastasios Tefas:
Mixed-precision quantization-aware training for photonic neural networks. Neural Comput. Appl. 35(29): 21361-21379 (2023) - [j144]Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas:
Modeling limit order trading with a continuous action policy for deep reinforcement learning. Neural Networks 165: 506-515 (2023) - [j143]Alexandros Chariton, Nikolaos Passalis, Nikos Pleros, Anastasios Tefas:
Mutual Information-Based Neural Network Distillation for Improving Photonic Neural Network Training. Neural Process. Lett. 55(7): 8589-8604 (2023) - [j142]Manos Kirtas, Nikolaos Passalis, George Mourgias-Alexandris, George Dabos, Nikos Pleros, Anastasios Tefas:
Robust Architecture-Agnostic and Noise Resilient Training of Photonic Deep Learning Models. IEEE Trans. Emerg. Top. Comput. Intell. 7(1): 140-149 (2023) - [c283]Achilleas Andronikos, Maria Tzelepi, Anastasios Tefas:
Residual Error Learning for Electricity Demand Forecasting. EANN 2023: 391-402 - [c282]Angelos Nalmpantis, Nikolaos Passalis, Anastasios Tefas:
End-to-End Trainable Gaussian Filtering for Electrocardiogram Signal Classification Using Deep Learning. EUSIPCO 2023: 1060-1064 - [c281]Dimitrios Tsiakmakis, Nikolaos Passalis, Anastasios Tefas:
Improving Inertial-Based UAV Localization using Data-Efficient Deep Reinforcement Learning. EUSIPCO 2023: 1355-1359 - [c280]Loukia Avramelou, Paraskevi Nousi, Nikolaos Passalis, Stavros Doropoulos, Anastasios Tefas:
Cryptosentiment: A Dataset and Baseline for Sentiment-Aware Deep Reinforcement Learning for Financial Trading. ICASSP Workshops 2023: 1-5 - [c279]Maria Tzelepi, Paraskevi Nousi, Anastasios Tefas:
Improving Electric Load Demand Forecasting with Anchor-Based Forecasting Method. ICASSP 2023: 1-5 - [c278]Theodoros Manousis, Nikolaos Passalis, Anastasios Tefas:
Enabling High-Resolution Pose Estimation in Real Time Using Active Perception. ICIP 2023: 2425-2429 - [c277]Georgios Rodinos, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas:
A Sharpe Ratio Based Reward Scheme in Deep Reinforcement Learning for Financial Trading. AIAI (1) 2023: 15-23 - [c276]Nikolaos Passalis, Pavlos Tosidis, Theodoros Manousis, Anastasios Tefas:
Deep Learning for Active Robotic Perception. IJCCI 2023: 15-21 - [c275]Paraskevi Nousi, Maria Tzelepi, Anastasios Tefas:
Anchored Input-Output Learning for Electrical Load Demand Forecasting. ISCAS 2023: 1-5 - [c274]Georgios Orfanidis, Konstantinos Ioannidis, Anastasios Tefas, Stefanos Vrochidis, Ioannis Kompatsiaris:
Tweaking EfficientDet for frugal training. ICMR 2023: 607-611 - [c273]Manos Kirtas, Nikolaos Passalis, Athina Oikonomou, Miltiadis Moralis-Pegios, George Giamougiannis, Apostolos Tsakyridis, George Mourgias-Alexandris, Nikolaos Pleros, Anastasios Tefas:
Quantization-Aware Training for Mixed Precision Photonic Neural Networks. MLSP 2023: 1-6 - [c272]Konstantinos Tsampazis, Manos Kirtas, Pavlos Tosidis, Nikolaos Passalis, Anastasios Tefas:
Deep Reinforcement Learning With Action Masking for Differential-Drive Robot Navigation Using Low-Cost Sensors. MLSP 2023: 1-6 - [c271]Dimosthenis Moralis, Maria Tzelepi, Anastasios Tefas:
Retrieval-Based Methodology for Few-Sample Logo Recognition. MMSP 2023: 1-6 - [c270]Pavlos Tosidis, Nikolaos Passalis, Anastasios Tefas:
Leveraging Active and Continual Learning for Improving Deep Face Recognition in-the-Wild. MMSP 2023: 1-5 - [c269]Angelina Totovic, Apostolos Tsakyridis, George Giamougiannis, Miltiadis Moralis-Pegios, Anastasios Tefas, Nikos Pleros:
Programmable Photonic Neural Networks for advanced Machine Learning tasks. OFC 2023: 1-3 - [c268]Apostolos Tsakyridis, George Giamougiannis, Miltiadis Moralis-Pegios, George Mourgias-Alexandris, Angelina Totovic, George Dabos, Manos Kirtas, Nikolaos Passalis, Anastasios Tefas, Dimitrios Kalavrouziotis, Dimitris Syrivelis, Paraskevas Bakopoulos, Elad Mentovich, Nikos Pleros:
DDOS attack identification via a silicon photonic Deep Neural Network with 50 GHz input and weight update. OFC 2023: 1-3 - [c267]Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis:
Variational Voxel Pseudo Image Tracking. SSCI 2023: 323-328 - [c266]Loukia Avramelou, Nikolaos Passalis, Grigorios Tsoumakas, Anastasios Tefas:
Domain-Specific Large Language Model Finetuning using a Model Assistant for Financial Text Summarization. SSCI 2023: 381-386 - [c265]Emmanouil Mpampis, Nikolaos Passalis, Anastasios Tefas:
Symmetric Fine-Tuning for Improving Few-Shot Object Detection. SSCI 2023: 598-602 - [c264]Stefanos Ginargiros, Nikolaos Passalis, Anastasios Tefas:
Deep Active Perception for Object Detection using Navigation Proposals. SSCI 2023: 897-901 - [c263]Valia Dimaridou, Nikolaos Passalis, Anastasios Tefas:
Deep Active Robotic Perception for Improving Face Recognition Under Occlusions. SSCI 2023: 1599-1602 - [i31]Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis:
Variational Voxel Pseudo Image Tracking. CoRR abs/2302.05914 (2023) - [i30]Maria Tzelepi, Charalampos Symeonidis, Paraskevi Nousi, Efstratios Kakaletsis, Theodoros Manousis, Pavlos Tosidis, Nikos Nikolaidis, Anastasios Tefas:
Deep Learning for Energy Time-Series Analysis and Forecasting. CoRR abs/2306.09129 (2023) - [i29]Manos Kirtas, Nikolaos Passalis, Anastasios Tefas:
Multiplicative update rules for accelerating deep learning training and increasing robustness. CoRR abs/2307.07189 (2023) - [i28]Paraskevi Nousi, Loukia Avramelou, Georgios Rodinos, Maria Tzelepi, Theodoros Manousis, Konstantinos Tsampazis, Kyriakos Stefanidis, Dimitris Spanos, Emmanouil Kirtas, Pavlos Tosidis, Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas:
Leveraging Deep Learning and Online Source Sentiment for Financial Portfolio Management. CoRR abs/2309.16679 (2023) - [i27]Manos Kirtas, Nikolaos Passalis, Nikolaos Pleros, Anastasios Tefas:
Non-negative isomorphic neural networks for photonic neuromorphic accelerators. CoRR abs/2310.01084 (2023) - [i26]Apostolos Tsakyridis, Miltiadis Moralis-Pegios, George Giamougiannis, Manos Kirtas, Nikolaos Passalis, Anastasios Tefas, Nikos Pleros:
Photonic Neural Networks and Optics-informed Deep Learning Fundamentals. CoRR abs/2312.00037 (2023) - [i25]Stefanos Ginargiros, Nikolaos Passalis, Anastasios Tefas:
Deep Active Perception for Object Detection using Navigation Proposals. CoRR abs/2312.10200 (2023) - 2022
- [j141]Dat Thanh Tran, Nikolaos Passalis, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis:
Attention-Based Neural Bag-of-Features Learning for Sequence Data. IEEE Access 10: 45542-45552 (2022) - [j140]Efstratios Kakaletsis, Charalampos Symeonidis, Maria Tzelepi, Ioannis Mademlis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Computer Vision for Autonomous UAV Flight Safety: An Overview and a Vision-based Safe Landing Pipeline Example. ACM Comput. Surv. 54(9): 181:1-181:37 (2022) - [j139]Paraskevi Nousi, Styliani-Christina Fragkouli, Nikolaos Passalis, Panagiotis Iosif, Theocharis Apostolatos, George Pappas, Nikolaos Stergioulas, Anastasios Tefas:
Autoencoder-driven spiral representation learning for gravitational wave surrogate modelling. Neurocomputing 491: 67-77 (2022) - [j138]Maria Tzelepi, Nikolaos Passalis, Anastasios Tefas:
Probabilistic online self-distillation. Neurocomputing 493: 592-604 (2022) - [j137]Nikolaos Passalis, Loukia Avramelou, Solon Seficha, Avraam Tsantekidis, Stavros Doropoulos, Giorgos Makris, Anastasios Tefas:
Multisource financial sentiment analysis for detecting Bitcoin price change indications using deep learning. Neural Comput. Appl. 34(22): 19441-19452 (2022) - [j136]Angelina Totovic, Christos Pappas, Manos Kirtas, Apostolos Tsakyridis, George Giamougiannis, Nikolaos Passalis, Miltiadis Moralis-Pegios, Anastasios Tefas, Nikos Pleros:
WDM equipped universal linear optics for programmable neuromorphic photonic processors. Neuromorph. Comput. Eng. 2(2): 24010 (2022) - [j135]Manos Kirtas, Athina Oikonomou, Nikolaos Passalis, George Mourgias-Alexandris, Miltiadis Moralis-Pegios, Nikos Pleros, Anastasios Tefas:
Quantization-aware training for low precision photonic neural networks. Neural Networks 155: 561-573 (2022) - [j134]Shaohua Wan, Zan Gao, Hanwang Zhang, Xiaojun Chang, Chen Chen, Anastasios Tefas:
Editorial paper for Pattern Recognition Letters VSI on cross model understanding for visual question answering. Pattern Recognit. Lett. 160: 9-10 (2022) - [j133]Nikolaos Karantaglis, Nikolaos Passalis, Anastasios Tefas:
Predicting on-street parking violation rate using deep residual neural networks. Pattern Recognit. Lett. 163: 82-91 (2022) - [c262]Athina Oikonomou, Manos Kirtas, Nikos Passalis, George Mourgias-Alexandris, Miltiadis Moralis-Pegios, Nikos Pleros, Anastasios Tefas:
A Robust, Quantization-Aware Training Method for Photonic Neural Networks. EANN 2022: 427-438 - [c261]Maria Tzelepi, Nikolaos Tragkas, Anastasios Tefas:
Improving Binary Semantic Scene Segmentation for Robotics Applications. EANN 2022: 439-447 - [c260]Pavlos Tosidis, Nikolaos Passalis, Anastasios Tefas:
Active Vision Control Policies for Face Recognition using Deep Reinforcement Learning. EUSIPCO 2022: 1087-1091 - [c259]Manos Kirtas, Nikos Passalis, George Mourgias-Alexandris, George Dabos, Nikos Pleros, Anastasios Tefas:
Learning photonic neural network initialization for noise-aware end-to-end fiber transmission. EUSIPCO 2022: 1731-1735 - [c258]Georgios Panagiotatos, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas:
Sentiment-Aware Distillation for Bitcoin Trend Forecasting Under Partial Observability. ICASSP 2022: 3898-3902 - [c257]Alexandros Chariton, Nikolaos Passalis, Anastasios Tefas:
Bag-Of-Features-Based Knowledge Distillation For Lightweight Convolutional Neural Networks. ICIP 2022: 1541-1545 - [c256]Maria Tzelepi, Charalampos Symeonidis, Nikos Nikolaidis, Anastasios Tefas:
Multilayer Online Self-Acquired Knowledge Distillation. ICPR 2022: 4822-4828 - [c255]Maria Tzelepi, Charalampos Symeonidis, Nikos Nikolaidis, Anastasios Tefas:
Real-time synthetic-to-real human detection for robotics applications. IISA 2022: 1-5 - [c254]Maria Tzelepi, Anastasios Tefas:
Forecasting day-ahead electric load demand on Greek Energy Market. IISA 2022: 1-4 - [c253]Pavlos Floratos, Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas:
Online Knowledge Distillation for Financial Timeseries Forecasting. INISTA 2022: 1-6 - [c252]Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, O. Green, Alexandros Iosifidis, Erdal Kayacan, Jens Kober, O. Michel, Nikos Nikolaidis, Paraskevi Nousi, Roel Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas:
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. IROS 2022: 12479-12484 - [c251]Nikolaos Karantaglis, Nikolaos Passalis, Anastasios Tefas:
Deep Learning for On-Street Parking Violation Prediction. IVMSP 2022: 1-5 - [c250]Manos Kirtas, Nikolaos Passalis, Dimitrios Kalavrouziotis, Dimitris Syrivelis, Paraskevas Bakopoulos, Nikos Pleros, Anastasios Tefas:
Early Detection of DDoS Attacks using Photonic Neural Networks. IVMSP 2022: 1-5 - [c249]Nikitas Maragkos, Maria Tzelepi, Nikolaos Passalis, Apostolos N. Adamakos, Anastasios Tefas:
Electric load demand forecasting on Greek Energy Market using lightweight neural networks. IVMSP 2022: 1-5 - [c248]Nikolaos Passalis, Maria Tzelepi, Polychronis Charitidis, Stavros Doropoulos, Stavros Vologiannidis, Anastasios Tefas:
Deep Video Stream Information Analysis and Retrieval: Challenges and Opportunities. MIPR 2022: 336-341 - [c247]Miltiadis Moralis-Pegios, Angelina Totovic, Apostolos Tsakyridis, George Giamougiannis, George Mourgias-Alexandris, George Dabos, Nikolaos Passalis, Manos Kirtas, Anastasios Tefas, Nikos Pleros:
Photonic Neuromorphic Computing: Architectures, Technologies, and Training Models. OFC 2022: 1-3 - [c246]Manos Kirtas, Nikolaos Passalis, Athina Oikonomou, George Mourgias-Alexandris, Miltiadis Moralis-Pegios, Nikos Pleros, Anastasios Tefas:
Normalized Post-training Quantization for Photonic Neural Networks. SSCI 2022: 657-663 - [e1]Lazaros Iliadis, Chrisina Jayne, Anastasios Tefas, Elias Pimenidis:
Engineering Applications of Neural Networks - 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17-20, 2022, Proceedings. Communications in Computer and Information Science 1600, Springer 2022, ISBN 978-3-031-08222-1 [contents] - [i24]Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, O. Green, Alexandros Iosifidis, Erdal Kayacan, Jens Kober, O. Michel, Nikolaos Nikolaidis, Paraskevi Nousi, Roel Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas:
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. CoRR abs/2203.00403 (2022) - [i23]Styliani-Christina Fragkouli, Paraskevi Nousi, Nikolaos Passalis, Panagiotis Iosif, Nikolaos Stergioulas, Anastasios Tefas:
Deep Residual Error and Bag-of-Tricks Learning for Gravitational Wave Surrogate Modeling. CoRR abs/2203.08434 (2022) - [i22]Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis:
VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images. CoRR abs/2206.02619 (2022) - [i21]Marlin B. Schäfer, Ondrej Zelenka, Alexander H. Nitz, He Wang, Shichao Wu, Zong-Kuan Guo, Zhoujian Cao, Zhixiang Ren, Paraskevi Nousi, Nikolaos Stergioulas, Panagiotis Iosif, Alexandra E. Koloniari, Anastasios Tefas, Nikolaos Passalis, Francesco Salemi, Gabriele Vedovato, Sergey Klimenko, Tanmaya Mishra, Bernd Brügmann, Elena Cuoco, Eliu A. Huerta, Chris Messenger, Frank Ohme:
MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge. CoRR abs/2209.11146 (2022) - [i20]Paraskevi Nousi, Emmanouil Mpampis, Nikolaos Passalis, Ole Green, Anastasios Tefas:
A Novel Dataset for Evaluating and Alleviating Domain Shift for Human Detection in Agricultural Fields. CoRR abs/2209.13202 (2022) - 2021
- [j132]Maria Tzelepi, Nikolaos Passalis, Anastasios Tefas:
Online Subclass Knowledge Distillation. Expert Syst. Appl. 181: 115132 (2021) - [j131]Avraam Tsantekidis, Anastasios Tefas:
Transferring trading strategy knowledge to deep learning models. Knowl. Inf. Syst. 63(1): 87-104 (2021) - [j130]Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas:
Diversity-driven knowledge distillation for financial trading using Deep Reinforcement Learning. Neural Networks 140: 193-202 (2021) - [j129]Adamantios Zaras, Nikolaos Passalis, Anastasios Tefas:
Improving knowledge distillation using unified ensembles of specialized teachers. Pattern Recognit. Lett. 146: 215-221 (2021) - [j128]Angelos Nalmpantis, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas:
Deep adaptive group-based input normalization for financial trading. Pattern Recognit. Lett. 152: 413-419 (2021) - [j127]Iason Karakostas, Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas:
Occlusion detection and drift-avoidance framework for 2D visual object tracking. Signal Process. Image Commun. 90: 116011 (2021) - [j126]Nikolaos Passalis, Anastasios Tefas:
Deep supervised hashing using quadratic spherical mutual information for efficient image retrieval. Signal Process. Image Commun. 93: 116146 (2021) - [j125]Maria Tzelepi, Anastasios Tefas:
Graph Embedded Convolutional Neural Networks in Human Crowd Detection for Drone Flight Safety. IEEE Trans. Emerg. Top. Comput. Intell. 5(2): 191-204 (2021) - [j124]Nikolaos Passalis, George Mourgias-Alexandris, Apostolos Tsakyridis, Nikos Pleros, Anastasios Tefas:
Training Deep Photonic Convolutional Neural Networks With Sinusoidal Activations. IEEE Trans. Emerg. Top. Comput. Intell. 5(3): 384-393 (2021) - [j123]Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas:
Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices. IEEE Trans. Neural Networks Learn. Syst. 32(2): 925-930 (2021) - [j122]Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas:
Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning. IEEE Trans. Neural Networks Learn. Syst. 32(5): 2030-2039 (2021) - [j121]Avraam Tsantekidis, Nikolaos Passalis, Anastasia-Sotiria Toufa, Konstantinos Saitas Zarkias, Stergios Chairistanidis, Anastasios Tefas:
Price Trailing for Financial Trading Using Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 32(7): 2837-2846 (2021) - [j120]Nikolaos Passalis, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis, Anastasios Tefas:
Forecasting Financial Time Series Using Robust Deep Adaptive Input Normalization. J. Signal Process. Syst. 93(10): 1235-1251 (2021) - [c245]Charalampos Symeonidis, Paraskevi Nousi, Pavlos Tosidis, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas, Nikos Nikolaidis:
Efficient Realistic Data Generation Framework Leveraging Deep Learning-Based Human Digitization. EANN 2021: 271-283 - [c244]George Giamougiannis, Apostolos Tsakyridis, George Mourgias-Alexandris, Miltiadis Moralis-Pegios, Angelina Totovic, George Dabos, Nikos Passalis, Manos Kirtas, Nikos Bamiedakis, Anastasios Tefas, David Lazovsky, Nikos Pleros:
Silicon-integrated coherent neurons with 32GMAC/sec/axon compute line-rates using EAM-based input and weighting cells. ECOC 2021: 1-4 - [c243]George Mourgias-Alexandris, Apostolos Tsakyridis, Nikolaos Passalis, Manos Kirtas, Anastasios Tefas, Teerapat Rutirawut, Frederic Y. Gardes, Nikos Pleros, Miltiadis Moralis-Pegios:
25GMAC/sec/axon photonic neural networks with 7GHz bandwidth optics through channel response-aware training. ECOC 2021: 1-4 - [c242]Nikos Pleros, Miltiadis Moralis-Pegios, Angelina Totovic, George Dabos, Apostolos Tsakyridis, George Giamougiannis, George Mourgias-Alexandris, Nikos Passalis, Manos Kirtas, Anastasios Tefas:
Compute with Light: Architectures, Technologies and Training Models for Neuromorphic Photonic Circuits. ECOC 2021: 1-4 - [c241]Nikolaos Passalis, Anastasios Tefas:
Adaptive Inference for Face Recognition leveraging Deep Metric Learning-enabled Early Exits. EUSIPCO 2021: 1346-1350 - [c240]Charalampos Symeonidis, Efstratios Kakaletsis, Ioannis Mademlis, Nikos Nikolaidis, Anastasios Tefas, Ioannis Pitas:
Vision-based UAV Safe Landing exploiting Lightweight Deep Neural Networks. ICIGP 2021: 13-19 - [c239]Nikolaos Passalis, Anastasios Tefas:
Pseudo-Active Vision For Improving Deep Visual Perception Through Neural Sensory Refinement. ICIP 2021: 2763-2767 - [c238]Maria Tzelepi, Anastasios Tefas:
Efficient Training of Lightweight Neural Networks Using Online Self-Acquired Knowledge Distillation. ICME 2021: 1-6 - [c237]Nikolaos Passalis, Solon Seficha, Avraam Tsantekidis, Anastasios Tefas:
Learning Sentiment-Aware Trading Strategies for Bitcoin Leveraging Deep Learning-Based Financial News Analysis. AIAI 2021: 757-766 - [c236]Maria Tzelepi, Anastasios Tefas:
Semantic Scene Segmentation for Robotics Applications. IISA 2021: 1-4 - [c235]Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas:
Introducing K-Anonymity Principles to Adversarial Attacks for Privacy Protection in Image Classification Problems. MLSP 2021: 1-6 - [c234]Angelos Nalmpantis, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas:
Improving Deep Reinforcement Learning for Financial Trading Using Deep Adaptive Group-Based Normalization. MLSP 2021: 1-6 - [c233]George Mourgias-Alexandris, Miltiadis Moralis-Pegios, Stelios Simos, George Dabos, Nikos Passalis, Manos Kirtas, Teerapat Rutirawut, Frederic Y. Gardes, Anastasios Tefas, Nikos Pleros:
A Silicon Photonic Coherent Neuron with 10GMAC/sec processing line-rate. OFC 2021: 1-3 - [i19]Charalampos Symeonidis, Paraskevi Nousi, Pavlos Tosidis, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas, Nikos Nikolaidis:
Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human Digitization. CoRR abs/2106.15409 (2021) - [i18]Paraskevi Nousi, Styliani-Christina Fragkouli, Nikolaos Passalis, Panagiotis Iosif, Theocharis Apostolatos, George Pappas, Nikolaos Stergioulas, Anastasios Tefas:
Autoencoder-driven Spiral Representation Learning for Gravitational Wave Surrogate Modelling. CoRR abs/2107.04312 (2021) - [i17]Maria Tzelepi, Anastasios Tefas:
Semantic Scene Segmentation for Robotics Applications. CoRR abs/2108.11128 (2021) - [i16]Maria Tzelepi, Anastasios Tefas:
Quadratic mutual information regularization in real-time deep CNN models. CoRR abs/2108.11774 (2021) - [i15]Maria Tzelepi, Anastasios Tefas:
Efficient training of lightweight neural networks using Online Self-Acquired Knowledge Distillation. CoRR abs/2108.11798 (2021) - 2020
- [j119]Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Using Deep Learning for price prediction by exploiting stationary limit order book features. Appl. Soft Comput. 93: 106401 (2020) - [j118]Paraskevi Nousi, Anastasios Tefas:
Self-supervised autoencoders for clustering and classification. Evol. Syst. 11(3): 453-466 (2020) - [j117]Paraskevi Nousi, Anastasios Tefas, Ioannis Pitas:
Dense convolutional feature histograms for robust visual object tracking. Image Vis. Comput. 99: 103933 (2020) - [j116]Nikolaos Passalis, Anastasios Tefas:
Continuous drone control using deep reinforcement learning for frontal view person shooting. Neural Comput. Appl. 32(9): 4227-4238 (2020) - [j115]Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas:
K-Anonymity inspired adversarial attack and multiple one-class classification defense. Neural Networks 124: 296-307 (2020) - [j114]Nikolaos Passalis, George Mourgias-Alexandris, Nikos Pleros, Anastasios Tefas:
Initializing photonic feed-forward neural networks using auxiliary tasks. Neural Networks 129: 103-108 (2020) - [j113]Maria Tzelepi, Anastasios Tefas:
Class-specific discriminant regularization in real-time deep CNN models for binary classification problems. Neural Process. Lett. 51(2): 1989-2005 (2020) - [j112]Nikolaos Passalis, Jenni Raitoharju, Anastasios Tefas, Moncef Gabbouj:
Efficient adaptive inference for deep convolutional neural networks using hierarchical early exits. Pattern Recognit. 105: 107346 (2020) - [j111]Marios Krestenitis, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas:
Recurrent bag-of-features for visual information analysis. Pattern Recognit. 106: 107380 (2020) - [j110]Maria Tzelepi, Anastasios Tefas:
Improving the performance of lightweight CNNs for binary classification using quadratic mutual information regularization. Pattern Recognit. 106: 107407 (2020) - [j109]Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas:
Variance-preserving deep metric learning for content-based image retrieval. Pattern Recognit. Lett. 131: 8-14 (2020) - [j108]Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Temporal logistic neural Bag-of-Features for financial time series forecasting leveraging limit order book data. Pattern Recognit. Lett. 136: 183-189 (2020) - [j107]Paraskevi Nousi, Sotirios Papadopoulos, Anastasios Tefas, Ioannis Pitas:
Deep autoencoders for attribute preserving face de-identification. Signal Process. Image Commun. 81 (2020) - [j106]Alexandros Iosifidis, Anastasios Tefas:
Deep Learning for Visual Content Analysis. Signal Process. Image Commun. 83: 115806 (2020) - [j105]Paraskevi Nousi, Danai Triantafyllidou, Anastasios Tefas, Ioannis Pitas:
Re-identification framework for long term visual object tracking based on object detection and classification. Signal Process. Image Commun. 88: 115969 (2020) - [j104]Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Temporal Bag-of-Features Learning for Predicting Mid Price Movements Using High Frequency Limit Order Book Data. IEEE Trans. Emerg. Top. Comput. Intell. 4(6): 774-785 (2020) - [j103]Firas Laakom, Nikolaos Passalis, Jenni Raitoharju, Jarno Nikkanen, Anastasios Tefas, Alexandros Iosifidis, Moncef Gabbouj:
Bag of Color Features for Color Constancy. IEEE Trans. Image Process. 29: 7722-7734 (2020) - [j102]Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Deep Adaptive Input Normalization for Time Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3760-3765 (2020) - [c232]Emmanouil Patsiouras, Anastasios Tefas, Ioannis Pitas:
Few-shot Image Recognition for UAV Sports Cinematography. CVPR Workshops 2020: 965-969 - [c231]Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas:
Heterogeneous Knowledge Distillation Using Information Flow Modeling. CVPR 2020: 2336-2345 - [c230]George Mourgias-Alexandris, Nikolaos Passalis, George Dabos, Angelina Totovic, Anastasios Tefas, Nikos Pleros:
Time-series classification with an all-optical recurrent neuron. ECOC 2020: 1-4 - [c229]Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas:
Robust Hypersphere-based Weight Imprinting for Few-Shot Learning. EUSIPCO 2020: 1392-1396 - [c228]Nikolaos Passalis, Manos Kirtas, George Mourgias-Alexandris, George Dabos, Nikos Pleros, Anastasios Tefas:
Training Noise-Resilient Recurrent Photonic Networks for Financial Time Series Analysis. EUSIPCO 2020: 1556-1560 - [c227]Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Adaptive Normalization for Forecasting Limit Order Book Data Using Convolutional Neural Networks. ICASSP 2020: 1713-1717 - [c226]A. Tzimas, Nikolaos Passalis, Anastasios Tefas:
Leveraging Deep Reinforcement Learning For Active Shooting Under Open-World Setting. ICME 2020: 1-6 - [c225]Marios Krestenitis, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas:
Human Action Recognition Using Recurrent Bag-of-Features Pooling. ICPR Workshops (5) 2020: 63-76 - [c224]Theodoros Bozinis, Nikolaos Passalis, Anastasios Tefas:
Improving Visual Question Answering using Active Perception on Static Images. ICPR 2020: 879-884 - [c223]Nikolaos Passalis, Anastasios Tefas:
Leveraging Quadratic Spherical Mutual Information Hashing for Fast Image Retrieval. ICPR 2020: 885-892 - [c222]Maria Tzelepi, Nikolaos Passalis, Anastasios Tefas:
Efficient Online Subclass Knowledge Distillation for Image Classification. ICPR 2020: 1007-1014 - [c221]Georgios Orfanidis, Konstantinos Ioannidis, Stefanos Vrochidis, Anastasios Tefas, Ioannis Kompatsiaris:
A modified Single-Shot multibox Detector for beyond Real-Time Object Detection. ICPR 2020: 3977-3984 - [c220]Manos Kirtas, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas:
Deepbots: A Webots-Based Deep Reinforcement Learning Framework for Robotics. AIAI (2) 2020: 64-75 - [c219]Nikolaos Passalis, George Mourgias-Alexandris, Nikos Pleros, Anastasios Tefas:
Adaptive Initialization for Recurrent Photonic Networks using Sigmoidal Activations. ISCAS 2020: 1-5 - [c218]Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas:
Multilayer Probabilistic Knowledge Transfer for Learning Image Representations. ISCAS 2020: 1-5 - [c217]Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas:
Improving Deep Reinforcement Learning for Financial Trading Using Neural Network Distillation. MLSP 2020: 1-6 - [c216]Maria Tzelepi, Anastasios Tefas:
Quadratic Mutual Information Regularization in Real-Time Deep CNN Models. MLSP 2020: 1-6 - [c215]Nikolaos Passalis, Jenni Raitoharju, Moncef Gabbouj, Anastasios Tefas:
Efficient Adaptive Inference Leveraging Bag-of-Features-based Early Exits. MMSP 2020: 1-6 - [c214]Nikolaos Passalis, Anastasios Tefas:
Leveraging Active Perception for Improving Embedding-based Deep Face Recognition. MMSP 2020: 1-6 - [c213]Fotini Patrona, Paraskevi Nousi, Ioannis Mademlis, Anastasios Tefas, Ioannis Pitas:
Visual Object Detection For Autonomous UAV Cinematography. NLDL 2020: 1-6 - [c212]George Mourgias-Alexandris, George Dabos, Nikolaos Passalis, Anastasios Tefas, Angelina Totovic, Nikos Pleros:
All-Optical Recurrent Neural Network with Sigmoid Activation Function. OFC 2020: 1-3 - [c211]Christos Nasioutzikis, Maria Tzelepi, Anastasios Tefas:
Deep Hashing Regularization Towards Hamming Space Retrieval. SETN 2020: 74-77 - [c210]Paraskevas Pegios, Nikolaos Passalis, Anastasios Tefas:
Improving Universal Style Transfer using Sub-style Decomposition. SETN 2020: 97-100 - [c209]Nikolaos Passalis, Anastasios Tefas:
Global Adaptive Input Normalization for Short-Term Electric Load Forecasting. SSCI 2020: 1-8 - [i14]Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas:
Heterogeneous Knowledge Distillation using Information Flow Modeling. CoRR abs/2005.00727 (2020) - [i13]Dat Thanh Tran, Nikolaos Passalis, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis:
Attention-based Neural Bag-of-Features Learning for Sequence Data. CoRR abs/2005.12250 (2020)
2010 – 2019
- 2019
- [j101]Paraskevi Nousi, Avraam Tsantekidis, Nikolaos Passalis, Adamantios Ntakaris, Juho Kanniainen, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis:
Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data. IEEE Access 7: 64722-64736 (2019) - [j100]Ioannis Mademlis, Nikos Nikolaidis, Anastasios Tefas, Ioannis Pitas, Tilman Wagner, Alberto Messina:
Autonomous UAV Cinematography: A Tutorial and a Formalized Shot-Type Taxonomy. ACM Comput. Surv. 52(5): 105:1-105:33 (2019) - [j99]Nikolaos Passalis, Anastasios Tefas:
Deep reinforcement learning for controlling frontal person close-up shooting. Neurocomputing 335: 37-47 (2019) - [j98]Nikolaos Floropoulos, Anastasios Tefas:
Complete vector quantization of feedforward neural networks. Neurocomputing 367: 55-63 (2019) - [j97]Dimitris Spathis, Nikolaos Passalis, Anastasios Tefas:
Interactive dimensionality reduction using similarity projections. Knowl. Based Syst. 165: 77-91 (2019) - [j96]Nikolaos Passalis, Anastasios Tefas:
Long-term temporal averaging for stochastic optimization of deep neural networks. Neural Comput. Appl. 31(6): 1733-1745 (2019) - [j95]Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas:
Exploiting multiplex data relationships in Support Vector Machines. Pattern Recognit. 85: 70-77 (2019) - [j94]Nikolaos Passalis, Anastasios Tefas:
Discriminative clustering using regularized subspace learning. Pattern Recognit. 96 (2019) - [j93]Angeliki Papadimitriou, Nikolaos Passalis, Anastasios Tefas:
Visual representation decoding from human brain activity using machine learning: A baseline study. Pattern Recognit. Lett. 128: 38-44 (2019) - [j92]Ioannis Mademlis, Nikos Nikolaidis, Anastasios Tefas, Ioannis Pitas, Tilman Wagner, Alberto Messina:
Autonomous Unmanned Aerial Vehicles Filming In Dynamic Unstructured Outdoor Environments [Applications Corner]. IEEE Signal Process. Mag. 36(1): 147-153 (2019) - [j91]Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas:
Neurons With Paraboloid Decision Boundaries for Improved Neural Network Classification Performance. IEEE Trans. Neural Networks Learn. Syst. 30(1): 284-294 (2019) - [j90]Nikolaos Passalis, Anastasios Tefas:
Unsupervised Knowledge Transfer Using Similarity Embeddings. IEEE Trans. Neural Networks Learn. Syst. 30(3): 946-950 (2019) - [j89]Nikolaos Passalis, Anastasios Tefas:
Training Lightweight Deep Convolutional Neural Networks Using Bag-of-Features Pooling. IEEE Trans. Neural Networks Learn. Syst. 30(6): 1705-1715 (2019) - [c208]Iason Karakostas, Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas:
On Detecting and Handling target occlusions in Correlation-filter-based 2D tracking. EUSIPCO 2019: 1-5 - [c207]Georgios Panagiotatos, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas:
Curriculum-based Teacher Ensemble for Robust Neural Network Distillation. EUSIPCO 2019: 1-5 - [c206]Maria Tzelepi, Anastasios Tefas:
Improving the Performance of Lightweight CNN models using Minimum Enclosing Ball Regularization. EUSIPCO 2019: 1-5 - [c205]Nikolaos Passalis, George Mourgias-Alexandris, Apostolos Tsakyridis, Nikos Pleros, Anastasios Tefas:
Variance Preserving Initialization for Training Deep Neuromorphic Photonic Networks with Sinusoidal Activations. ICASSP 2019: 1483-1487 - [c204]Konstantinos Saitas Zarkias, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas:
Deep Reinforcement Learning for Financial Trading Using Price Trailing. ICASSP 2019: 3067-3071 - [c203]Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Deep Temporal Logistic Bag-of-features for Forecasting High Frequency Limit Order Book Time Series. ICASSP 2019: 7545-7549 - [c202]Paraskevi Nousi, Anastasios Tefas, Ioannis Pitas:
Deep Convolutional Feature Histograms for Visual Object Tracking. ICASSP 2019: 8375-8379 - [c201]Paraskevi Nousi, Danai Triantafyllidou, Anastasios Tefas, Ioannis Pitas:
Joint Lightweight Object Tracking and Detection for Unmanned Vehicles. ICIP 2019: 160-164 - [c200]Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis, Moncef Gabbouj:
Class-Based Variational Representation Learning For Robust Image Retrieval. ICIP 2019: 854-858 - [c199]Nikolaos Passalis, Jenni Raitoharju, Anastasios Tefas, Moncef Gabbouj:
Adaptive Inference Using Hierarchical Convolutional Bag-of-Features for Low-Power Embedded Platforms. ICIP 2019: 3048-3052 - [c198]Maria Tzelepi, Anastasios Tefas:
Discriminant Analysis Regularization in Lightweight Deep CNN Models. ICIP 2019: 3841-3845 - [c197]Fotini Patrona, Ioannis Mademlis, Anastasios Tefas, Ioannis Pitas:
Computational UAV Cinematography for Intelligent Shooting Based on Semantic Visual Analysis. ICIP 2019: 4155-4159 - [c196]Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro, Fabio Valerio Massoli, Nikolaos Passalis, Anastasios Tefas, Alessandro Trivilini, Claudio Vairo:
Face Verification and Recognition for Digital Forensics and Information Security. ISDFS 2019: 1-6 - [c195]Efstratios Kakaletsis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Incremental Label Propagation on Facial Images. MLSP 2019: 1-6 - [c194]Christina Tzogka, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas:
Less Is More: Deep Learning Using Subjective Annotations For Sentiment Analysis From Social Media. MLSP 2019: 1-6 - [c193]Efstratios Kakaletsis, Maria Tzelepi, Pantelis I. Kaplanoglou, Charalampos Symeonidis, Nikos Nikolaidis, Anastasios Tefas, Ioannis Pitas:
Semantic Map Annotation Through UAV Video Analysis Using Deep Learning Models in ROS. MMM (2) 2019: 328-340 - [c192]Ioannis Mademlis, Anastasios Tefas, Ioannis Pitas:
Greedy Salient Dictionary Learning for Activity Video Summarization. MMM (1) 2019: 578-589 - [c191]George Mourgias-Alexandris, Apostolos Tsakyridis, Nikolaos Passalis, Anastasios Tefas, Nikos Pleros:
Experimental Demonstration of an Optical Neuron with a Logistic Sigmoid Activation Function. OFC 2019: 1-3 - [c190]Paraskevi Nousi, Ioannis Mademlis, Iason Karakostas, Anastasios Tefas, Ioannis Pitas:
Embedded UAV Real-Time Visual Object Detection and Tracking. RCAR 2019: 708-713 - [p2]Nikolaos Passalis, Anastasios Tefas:
Deep Learning Analytics. Machine Learning Paradigms 2019: 339-370 - [i12]Nikolaos Passalis, Anastasios Tefas:
Deep Supervised Hashing leveraging Quadratic Spherical Mutual Information for Content-based Image Retrieval. CoRR abs/1901.05135 (2019) - [i11]Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Temporal Logistic Neural Bag-of-Features for Financial Time series Forecasting leveraging Limit Order Book Data. CoRR abs/1901.08280 (2019) - [i10]Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Deep Adaptive Input Normalization for Price Forecasting using Limit Order Book Data. CoRR abs/1902.07892 (2019) - [i9]Firas Laakom, Nikolaos Passalis, Jenni Raitoharju, Jarno Nikkanen, Anastasios Tefas, Alexandros Iosifidis, Moncef Gabbouj:
Bag of Color Features For Color Constancy. CoRR abs/1906.04445 (2019) - 2018
- [j88]Danai Triantafyllidou, Paraskevi Nousi, Anastasios Tefas:
Fast Deep Convolutional Face Detection in the Wild Exploiting Hard Sample Mining. Big Data Res. 11: 65-76 (2018) - [j87]Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas:
Big Data Clustering with Kernel k-Means: Resources, Time and Performance. Int. J. Artif. Intell. Tools 27(4): 1860006:1-1860006:18 (2018) - [j86]Maria Tzelepi, Anastasios Tefas:
Deep convolutional learning for Content Based Image Retrieval. Neurocomputing 275: 2467-2478 (2018) - [j85]Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Semi-supervised subclass support vector data description for image and video classification. Neurocomputing 278: 51-61 (2018) - [j84]Ioannis Mademlis, Anastasios Tefas, Ioannis Pitas:
A salient dictionary learning framework for activity video summarization via key-frame extraction. Inf. Sci. 432: 319-331 (2018) - [j83]Nikolaos Passalis, Anastasios Tefas:
PySEF: A python library for similarity-based dimensionality reduction. Knowl. Based Syst. 152: 186-187 (2018) - [j82]Vlasis Gogousis, Anastasios Tefas:
Caricature generation utilizing the notion of anti-face. Multim. Tools Appl. 77(7): 8259-8271 (2018) - [j81]Nikolaos Kondylidis, Maria Tzelepi, Anastasios Tefas:
Exploiting tf-idf in deep Convolutional Neural Networks for Content Based Image Retrieval. Multim. Tools Appl. 77(23): 30729-30748 (2018) - [j80]Nikolaos Passalis, Anastasios Tefas:
Learning bag-of-embedded-words representations for textual information retrieval. Pattern Recognit. 81: 254-267 (2018) - [j79]Vasileios Lioutas, Nikolaos Passalis, Anastasios Tefas:
Explicit ensemble attention learning for improving visual question answering. Pattern Recognit. Lett. 111: 51-57 (2018) - [j78]Eleftherios Daskalakis, Maria Tzelepi, Anastasios Tefas:
Learning deep spatiotemporal features for video captioning. Pattern Recognit. Lett. 116: 143-149 (2018) - [j77]Maria Tzelepi, Anastasios Tefas:
Deep convolutional image retrieval: A general framework. Signal Process. Image Commun. 63: 30-43 (2018) - [j76]Efstratios Kakaletsis, Olga Zoidi, Ioannis Tsingalis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Fast constrained person identity label propagation in stereo videos using a pruned similarity matrix. Signal Process. Image Commun. 67: 199-209 (2018) - [j75]Olga Zoidi, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Positive and Negative Label Propagations. IEEE Trans. Circuits Syst. Video Technol. 28(2): 342-355 (2018) - [j74]Nikolaos Passalis, Anastasios Tefas:
Information Clustering Using Manifold-Based Optimization of the Bag-of-Features Representation. IEEE Trans. Cybern. 48(1): 52-63 (2018) - [j73]Nikolaos Passalis, Anastasios Tefas:
Dimensionality Reduction Using Similarity-Induced Embeddings. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3429-3441 (2018) - [c189]Nikolaos Passalis, Anastasios Tefas:
Deep reinforcement learning for frontal view person shooting using drones. EAIS 2018: 1-8 - [c188]Nikolaos Passalis, Anastasios Tefas:
Learning Deep Representations with Probabilistic Knowledge Transfer. ECCV (11) 2018: 283-299 - [c187]Dimitris Spathis, Nikolaos Passalis, Anastasios Tefas:
Fast, Visual and Interactive Semi-supervised Dimensionality Reduction. ECCV Workshops (4) 2018: 550-563 - [c186]Angeliki Papadimitriou, Nikolaos Passalis, Anastasios Tefas:
Decoding Generic Visual Representations from Human Brain Activity Using Machine Learning. ECCV Workshops (3) 2018: 597-606 - [c185]Ioannis Mademlis, Anastasios Tefas, Ioannis Pitas:
Regularized Svd-Based Video Frame Saliency for Unsupervised Activity Video Summarization. ICASSP 2018: 2691-2695 - [c184]Nikolaos Passalis, Anastasios Tefas:
Accelerating Similarity-Based Discriminant Analysis Using Class-Specific Prototypes. ICIP 2018: 161-165 - [c183]Paraskevi Nousi, Emmanouil Patsiouras, Anastasios Tefas, Ioannis Pitas:
Convolutional Neural Networks for Visual Information Analysis with Limited Computing Resources. ICIP 2018: 321-325 - [c182]Efstratios Kakaletsis, Olga Zoidi, Ioannis Tsingalis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Label Propagation on Facial Images Using Similarity and Dissimilarity Labelling Constraints. ICIP 2018: 783-787 - [c181]Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas:
Learning Multi-Graph Regularization for SVM Classification. ICIP 2018: 1608-1612 - [c180]Nikolaos Passalis, Anastasios Tefas:
Neural Network Knowledge Transfer using Unsupervised Similarity Matching. ICPR 2018: 716-721 - [c179]Vasileios Lioutas, Nikolaos Passalis, Anastasios Tefas:
Visual Question Answering using Explicit Visual Attention. ISCAS 2018: 1-5 - [c178]Nikolaos Passalis, Anastasios Tefas, Ioannis Pitas:
Efficient Camera Control using 2D Visual Information for Unmanned Aerial Vehicle-based Cinematography. ISCAS 2018: 1-5 - [c177]Nikolaos Passalis, Anastasios Tefas:
Learning Discriminative Representations for Big Data Clustering Using Similarity-Based Dimensionality Reduction. IVMSP 2018: 1-5 - [c176]Maria Tzelepi, Anastasios Tefas:
Fully Unsupervised Optimization of CNN Features Towards Content Based Image Retrieval. IVMSP 2018: 1-5 - [c175]Ioannis Mademlis, Anastasios Tefas, Ioannis Pitas:
Greedy Salient Dictionary Learning with Optimal Point Reconstruction for Activity video Summarization. MLSP 2018: 1-6 - [c174]Fotini Patrona, Ioannis Mademlis, Anastasios Tefas, Ioannis Pitas:
Computational UAV Cinematography for Intelligent A/V Shooting Based on Semantic Visual Analysis. MMSports@MM 2018: 31-38 - [c173]Maria Tzelepi, Anastasios Tefas:
Fully Unsupervised Convolutional Learning for Fast Image Retrieval. SETN 2018: 1:1-1:6 - [c172]Georgios Symeonidis, Anastasios Tefas:
Recurrent Attention for Deep Neural Object Detection. SETN 2018: 3:1-3:8 - [c171]Konstantinos Tsampazis, Anastasios Tefas:
Deep Sparse Autoencoders for Football Match and Bet Prediction. SETN 2018: 4:1-4:8 - [i8]Nikolaos Passalis, Anastasios Tefas:
Probabilistic Knowledge Transfer for Deep Representation Learning. CoRR abs/1803.10837 (2018) - [i7]Paraskevi Nousi, Avraam Tsantekidis, Nikolaos Passalis, Adamantios Ntakaris, Juho Kanniainen, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis:
Machine Learning for Forecasting Mid Price Movement using Limit Order Book Data. CoRR abs/1809.07861 (2018) - [i6]Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Using Deep Learning for price prediction by exploiting stationary limit order book features. CoRR abs/1810.09965 (2018) - [i5]Angeliki Papadimitriou, Nikolaos Passalis, Anastasios Tefas:
Decoding Generic Visual Representations From Human Brain Activity using Machine Learning. CoRR abs/1811.01757 (2018) - [i4]Dimitris Spathis, Nikolaos Passalis, Anastasios Tefas:
Interactive dimensionality reduction using similarity projections. CoRR abs/1811.05531 (2018) - [i3]Paraskevas Pegios, Nikolaos Passalis, Anastasios Tefas:
Style Decomposition for Improved Neural Style Transfer. CoRR abs/1811.12704 (2018) - 2017
- [j72]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Approximate kernel extreme learning machine for large scale data classification. Neurocomputing 219: 210-220 (2017) - [j71]Paraskevi Nousi, Anastasios Tefas:
Deep learning algorithms for discriminant autoencoding. Neurocomputing 266: 325-335 (2017) - [j70]Ioannis Kapsouras, Anastasios Tefas, Nikos Nikolaidis, Geoffroy Peeters, Laurent Benaroya, Ioannis Pitas:
Multimodal speaker clustering in full length movies. Multim. Tools Appl. 76(2): 2223-2242 (2017) - [j69]Panteleimon Chriskos, Olga Zoidi, Anastasios Tefas, Ioannis Pitas:
De-identifying facial images using singular value decomposition and projections. Multim. Tools Appl. 76(3): 3435-3468 (2017) - [j68]Alexandros Iosifidis, Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas:
One-Class Classification Based on Extreme Learning and Geometric Class Information. Neural Process. Lett. 45(2): 577-592 (2017) - [j67]Nikolaos Passalis, Anastasios Tefas:
Neural Bag-of-Features learning. Pattern Recognit. 64: 277-294 (2017) - [j66]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, Moncef Gabbouj:
Big Media Data Analysis. Signal Process. Image Commun. 59: 105-108 (2017) - [j65]Nikolaos Passalis, Anastasios Tefas:
Learning Neural Bag-of-Features for Large-Scale Image Retrieval. IEEE Trans. Syst. Man Cybern. Syst. 47(10): 2641-2652 (2017) - [c170]Nikolaos Passalis, Anastasios Tefas:
Improving Face Pose Estimation Using Long-Term Temporal Averaging for Stochastic Optimization. EANN 2017: 194-204 - [c169]Paraskevi Nousi, Anastasios Tefas:
Discriminatively Trained Autoencoders for Fast and Accurate Face Recognition. EANN 2017: 205-215 - [c168]Nikolaos Passalis, Anastasios Tefas:
Concept detection and face pose estimation using lightweight convolutional neural networks for steering drone video shooting. EUSIPCO 2017: 71-75 - [c167]Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Time-series classification using neural Bag-of-Features. EUSIPCO 2017: 301-305 - [c166]Maria Tzelepi, Anastasios Tefas:
Human crowd detection for drone flight safety using convolutional neural networks. EUSIPCO 2017: 743-747 - [c165]Danai Triantafyllidou, Paraskevi Nousi, Anastasios Tefas:
Lightweight two-stream convolutional face detection. EUSIPCO 2017: 1190-1194 - [c164]Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Using deep learning to detect price change indications in financial markets. EUSIPCO 2017: 2511-2515 - [c163]Ioannis Mademlis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Summarization of human activity videos via low-rank approximation. ICASSP 2017: 1627-1631 - [c162]Nikolaos Passalis, Anastasios Tefas:
Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks. ICCV 2017: 5766-5774 - [c161]Ioannis Mademlis, Anastasios Tefas, Ioannis Pitas:
Summarization of human activity videos using a salient dictionary. ICIP 2017: 625-629 - [c160]Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks. CBI (1) 2017: 7-12 - [i2]Nikolaos Passalis, Anastasios Tefas:
Dimensionality Reduction using Similarity-induced Embeddings. CoRR abs/1706.05692 (2017) - [i1]Nikolaos Passalis, Anastasios Tefas:
Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks. CoRR abs/1707.08105 (2017) - 2016
- [j64]Ioannis Mademlis, Alexandros Iosifidis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Exploiting stereoscopic disparity for augmenting human activity recognition performance. Multim. Tools Appl. 75(19): 11641-11660 (2016) - [j63]Josep Blat, Alun Evans, Hansung Kim, Evren Imre, Lukás Polok, Viorela Ila, Nikos Nikolaidis, Pavel Zemcík, Anastasios Tefas, Pavel Smrz, Adrian Hilton, Ioannis Pitas:
Big Data Analysis for Media Production. Proc. IEEE 104(11): 2085-2113 (2016) - [j62]Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Graph Embedded One-Class Classifiers for media data classification. Pattern Recognit. 60: 585-595 (2016) - [j61]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Graph Embedded Extreme Learning Machine. IEEE Trans. Cybern. 46(1): 311-324 (2016) - [j60]Ioannis Mademlis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Multimodal Stereoscopic Movie Summarization Conforming to Narrative Characteristics. IEEE Trans. Image Process. 25(12): 5828-5840 (2016) - [j59]Nikolaos Passalis, Anastasios Tefas:
Entropy Optimized Feature-Based Bag-of-Words Representation for Information Retrieval. IEEE Trans. Knowl. Data Eng. 28(7): 1664-1677 (2016) - [j58]Foteini Patrona, Alexandros Iosifidis, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas:
Visual Voice Activity Detection in the Wild. IEEE Trans. Multim. 18(6): 967-977 (2016) - [c159]Efstratios Kakaletsis, Olga Zoidi, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Fast label propagation on facial images using a pruned similarity matrix. DMIAF 2016: 103-106 - [c158]Vasileios Gavriilidis, Anastasios Tefas, Constantine Kotropoulos, Nikos Nikolaidis:
Enhanced similarities for a music Recommender System. DMIAF 2016: 113-116 - [c157]Eftychia Fotiadou, Nikos Nikolaidis, Anastasios Tefas:
A comparative study of representations for folk dances recognition in video. EUSIPCO 2016: 115-119 - [c156]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, Moncef Gabbouj:
A review of approximate methods for kernel-based big media data analysis. EUSIPCO 2016: 1113-1117 - [c155]Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
One class classification applied in facial image analysis. ICIP 2016: 1644-1648 - [c154]Thomas Theodoridis, Anastasios Tefas, Ioannis Pitas:
Multi-view semantic temporal video segmentation. ICIP 2016: 3947-3951 - [c153]Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas:
Exploiting local and global geometric data relationships in Support Vector Data Description. ICPR 2016: 515-519 - [c152]Nikolaos Passalis, Anastasios Tefas:
Bag of Embedded Words learning for text retrieval. ICPR 2016: 2416-2421 - [c151]Maria Tzelepi, Anastasios Tefas:
Exploiting supervised learning for finetuning deep CNNs in content based image retrieval. ICPR 2016: 2918-2923 - [c150]Danai Triantafyllidou, Anastasios Tefas:
Face detection based on deep convolutional neural networks exploiting incremental facial part learning. ICPR 2016: 3560-3565 - [c149]Nikolaos Passalis, Anastasios Tefas:
Spatial Bag of Features Learning for Large Scale Face Image Retrieval. INNS Conference on Big Data 2016: 8-17 - [c148]Ioannis Mademlis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Compact Video Description and Representation for Automated Summarization of Human Activities. INNS Conference on Big Data 2016: 18-28 - [c147]Danai Triantafyllidou, Anastasios Tefas:
A Fast Deep Convolutional Neural Network for Face Detection in Big Visual Data. INNS Conference on Big Data 2016: 61-70 - [c146]Ioannis Mademlis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Movie shot selection preserving narrative properties. MMSP 2016: 1-5 - [c145]Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Laplacian one class extreme learning machines for human action recognition. MMSP 2016: 1-5 - [c144]Nikolaos Passalis, Anastasios Tefas:
Spectral Clustering using Optimized Bag-of-Features. SETN 2016: 19:1-19:9 - [c143]Eftychia Fotiadou, Ioannis Kapsouras, Nikos Nikolaidis, Anastasios Tefas:
A Bag of Words approach for recognition of Greek folk dances. SETN 2016: 21:1-21:4 - [c142]Maria Tzelepi, Anastasios Tefas:
Relevance Feedback in Deep Convolutional Neural Networks for Content Based Image Retrieval. SETN 2016: 27:1-27:7 - [c141]Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas:
Efficient MapReduce Kernel k-Means for Big Data Clustering. SETN 2016: 28:1-28:5 - [c140]Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Kernel subclass support vector description for face and human action recognition. SPLINE 2016: 1-5 - 2015
- [j57]Christina Chrysouli, Anastasios Tefas:
Spectral clustering and semi-supervised learning using evolving similarity graphs. Appl. Soft Comput. 34: 625-637 (2015) - [j56]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Human Action Recognition Based on Multi-View Regularized Extreme Learning Machine. Int. J. Artif. Intell. Tools 24(5): 1540020:1-1540020:22 (2015) - [j55]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Distance-based human action recognition using optimized class representations. Neurocomputing 161: 47-55 (2015) - [j54]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
DropELM: Fast neural network regularization with Dropout and DropConnect. Neurocomputing 162: 57-66 (2015) - [j53]Alexandros Iosifidis, Ermioni Marami, Anastasios Tefas, Ioannis Pitas:
The MOBISERV-AIIA Eating and Drinking multi-view database for vision-based assisted living. J. Inf. Hiding Multim. Signal Process. 6(2): 254-273 (2015) - [j52]Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas:
A distributed framework for trimmed Kernel k-Means clustering. Pattern Recognit. 48(8): 2685-2698 (2015) - [j51]Anastasios Maronidis, Anastasios Tefas, Ioannis Pitas:
Subclass Graph Embedding and a Marginal Fisher Analysis paradigm. Pattern Recognit. 48(12): 4024-4035 (2015) - [j50]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
On the kernel Extreme Learning Machine classifier. Pattern Recognit. Lett. 54: 11-17 (2015) - [j49]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Sparse extreme learning machine classifier exploiting intrinsic graphs. Pattern Recognit. Lett. 65: 192-196 (2015) - [j48]Nicholas Vretos, Anastasios Tefas, Ioannis Pitas:
A novel dimensionality reduction technique based on kernel optimization through graph embedding. Signal Image Video Process. 9(Supplement-1): 3-10 (2015) - [j47]Georgios Orfanidis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Facial image clustering in stereoscopic videos using double spectral analysis. Signal Process. Image Commun. 33: 86-105 (2015) - [j46]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Class-Specific Reference Discriminant Analysis With Application in Human Behavior Analysis. IEEE Trans. Hum. Mach. Syst. 45(3): 315-326 (2015) - [j45]Dimitrios Bouzas, Nikolaos Arvanitopoulos, Anastasios Tefas:
Graph Embedded Nonparametric Mutual Information for Supervised Dimensionality Reduction. IEEE Trans. Neural Networks Learn. Syst. 26(5): 951-963 (2015) - [c139]Konstantinos Papachristou, Anastasios Tefas, Ioannis Pitas:
Exploiting symmetry in two-dimensional clustering-based discriminant analysis for face recognition. EUSIPCO 2015: 155-159 - [c138]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Class-specific nonlinear subspace learning based on optimized class representation. EUSIPCO 2015: 2491-2495 - [c137]Panteleimon Chriskos, Olga Zoidi, Anastasios Tefas, Ioannis Pitas:
De-identifying facial images using projections on hyperspheres. FG 2015: 1-6 - [c136]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Enhancing class discrimination in Kernel Discriminant Analysis. ICASSP 2015: 1926-1930 - [c135]Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Exploiting subclass information in one-class support vector machine for video summarization. ICASSP 2015: 2259-2263 - [c134]Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis, Alexandros Iosifidis, Ioannis Pitas:
Fast Kernel Matrix Computation for Big Data Clustering. ICCS 2015: 2445-2452 - [c133]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Enhancing ELM-based Facial Image Classification by Exploiting Multiple Facial Views. ICCS 2015: 2814-2821 - [c132]Ioannis Kapsouras, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Multimodal Speaker Diarization Utilizing Face Clustering Information. ICIG (2) 2015: 547-554 - [c131]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Merging linear discriminant analysis with Bag of Words model for human action recognition. ICIP 2015: 832-836 - [c130]Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas:
Kernel matrix trimming for improved Kernel K-means clustering. ICIP 2015: 2285-2289 - [c129]Foteini Patrona, Alexandros Iosifidis, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas:
Visual voice activity detection based on spatiotemporal information and bag of words. ICIP 2015: 2334-2338 - [c128]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Large-scale nonlinear facial image classification based on approximate kernel Extreme Learning Machine. ICIP 2015: 2449-2453 - [c127]Konstantinos Papachristou, Anastasios Tefas, Ioannis Pitas:
Facial image analysis based on two-dimensional linear discriminant analysis exploiting symmetry. ICIP 2015: 3185-3189 - [c126]Josep Blat, Alun Evans, Javi Agenjo, Hansung Kim, Evren Imre, Adrian Hilton, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas, Lukás Polok, Pavel Smrz, Pavel Zemcík:
IMPART: Big media data processing and analysis for film production. ICME Workshops 2015: 1-5 - [c125]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Regularized Extreme Learning Machine for Large-scale Media Content Analysis. INNS Conference on Big Data 2015: 420-427 - [c124]Olga Zoidi, Nikos Nikolaidis, Anastasios Tefas, Ioannis Pitas:
Multi-modal label propagation based on a higher order similarity matrix. MLSP 2015: 1-6 - [c123]Nikolaos Tsapanos, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Distributed, MapReduce-Based Nearest Neighbor and E-Ball Kernel k-Means. SSCI 2015: 509-515 - [c122]Anastasios Maronidis, Anastasios Tefas, Ioannis Pitas:
Subclass Marginal Fisher Analysis. SSCI 2015: 1391-1398 - [c121]Anastasios Maronidis, Anastasios Tefas, Ioannis Pitas:
Graph Embedding Exploiting Subclasses. SSCI 2015: 1452-1459 - [c120]Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Large-Scale Classification by an Approximate Least Squares One-Class Support Vector Machine Ensemble. TrustCom/BigDataSE/ISPA (2) 2015: 6-10 - [c119]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Nearest Class Vector Classification for Large-Scale Learning Problems. TrustCom/BigDataSE/ISPA (2) 2015: 11-16 - 2014
- [j44]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Regularized extreme learning machine for multi-view semi-supervised action recognition. Neurocomputing 145: 250-262 (2014) - [j43]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Kernel Reference Discriminant Analysis. Pattern Recognit. Lett. 49: 85-91 (2014) - [j42]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Discriminant Bag of Words based representation for human action recognition. Pattern Recognit. Lett. 49: 185-192 (2014) - [j41]Olga Zoidi, Nikos Nikolaidis, Anastasios Tefas, Ioannis Pitas:
Stereo object tracking with fusion of texture, color and disparity information. Signal Process. Image Commun. 29(5): 573-589 (2014) - [j40]Symeon Nikitidis, Anastasios Tefas, Ioannis Pitas:
Projected Gradients for Subclass Discriminant Nonnegative Subspace Learning. IEEE Trans. Cybern. 44(12): 2806-2819 (2014) - [j39]Symeon Nikitidis, Anastasios Tefas, Ioannis Pitas:
Maximum Margin Projection Subspace Learning for Visual Data Analysis. IEEE Trans. Image Process. 23(10): 4413-4425 (2014) - [j38]Konstantinos Papachristou, Anastasios Tefas, Ioannis Pitas:
Symmetric Subspace Learning for Image Analysis. IEEE Trans. Image Process. 23(12): 5683-5697 (2014) - [j37]Olga Zoidi, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Person Identity Label Propagation in Stereo Videos. IEEE Trans. Multim. 16(5): 1358-1368 (2014) - [c118]Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas:
Large graph clustering using DCT-based graph clustering. CIBD 2014: 108-111 - [c117]Georgios Orfanidis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Facial image clustering in stereo videos using local binary patterns and double spectral analysis. CIDM 2014: 217-221 - [c116]Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Video summarization based on Subclass Support Vector Data Description. CIES 2014: 183-187 - [c115]Ioannis Mademlis, Alexandros Iosifidis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Stereoscopic video description for human action recognition. CIMSIVP 2014: 1-6 - [c114]Konstantinos Papachristou, Anastasios Tefas, Ioannis Pitas:
Subspace Learning with Enriched Databases Using Symmetry. ECC (1) 2014: 113-122 - [c113]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Computational Intelligence Approaches for Digital Media Analysis and Description. ECC (2) 2014: 263-272 - [c112]Nikolaos Mpountouropoulos, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Visual Information Analysis for Big-Data Using Multi-core Technologies. ECC (1) 2014: 309-316 - [c111]Olga Zoidi, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Iterative Label Propagation on facial images. EUSIPCO 2014: 1222-1226 - [c110]Alexandros Iosifidis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Human action recognition in stereoscopic videos based on bag of features and disparity pyramids. EUSIPCO 2014: 1317-1321 - [c109]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Minimum Variance Extreme Learning Machine for human action recognition. ICASSP 2014: 5427-5431 - [c108]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Human action recognition based on bag of features and multi-view neural networks. ICIP 2014: 1510-1514 - [c107]Konstantinos Papachristou, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Stereoscopic video shot clustering into semantic concepts based on visual and disparity information. ICIP 2014: 5472-5476 - [c106]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Semi-supervised Classification of Human Actions Based on Neural Networks. ICPR 2014: 1336-1341 - [c105]Nikolaos Arvanitopoulos, Dimitrios Bouzas, Anastasios Tefas:
Laplacian Support Vector Analysis for Subspace Discriminative Learning. ICPR 2014: 1609-1614 - [c104]Vasileios Gavriilidis, Anastasios Tefas:
Random Walk Kernel Applications to Classification Using Support Vector Machines. ICPR 2014: 3898-3903 - [c103]Christina Chrysouli, Anastasios Tefas:
Spectral Clustering Using Evolving Similarity Graphs. IJCCI (ECTA) 2014: 21-29 - [c102]Christina Chrysouli, Anastasios Tefas:
Evolution of Graphs for Unsupervised Learning. IJCCI (Selected Papers) 2014: 21-31 - [c101]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Exploiting Local Class Information in Extreme Learning Machine. IJCCI (NCTA) 2014: 49-55 - [c100]Christina Chrysouli, Vasileios Gavriilidis, Anastasios Tefas:
Graph-based Kernel Representation of Videos for Traditional Dance Recognition. IJCCI (NCTA) 2014: 195-202 - [c99]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Single-Hidden Layer Feedforward Neual Network Training Using Class Geometric Information. IJCCI (Selected Papers) 2014: 351-364 - [c98]Panteleimon Chriskos, Olga Zoidi, Anastasios Tefas, Ioannis Pitas:
De-identifying facial images using singular value decomposition. MIPRO 2014: 1240-1245 - [c97]Marina Ivasic-Kos, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Person de-identification in activity videos. MIPRO 2014: 1294-1299 - [c96]Konstantinos Papachristou, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Stereoscopic video shot classification based on Weighted Linear Discriminant Analysis. MLSP 2014: 1-6 - [c95]Ioannis Tsingalis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Shot type characterization in 2D and 3D video content. MMSP 2014: 1-5 - [c94]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Multi-view Regularized Extreme Learning Machine for Human Action Recognition. SETN 2014: 84-94 - [c93]Vasileios Gavriilidis, Anastasios Tefas:
Activity Recognition for Traditional Dances Using Dimensionality Reduction. SETN 2014: 115-125 - 2013
- [j36]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Learning sparse representations for view-independent human action recognition based on fuzzy distances. Neurocomputing 121: 344-353 (2013) - [j35]Nicholas Vretos, Anastasios Tefas, Ioannis Pitas:
Using robust dispersion estimation in support vector machines. Pattern Recognit. 46(12): 3441-3451 (2013) - [j34]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Dynamic action recognition based on dynemes and Extreme Learning Machine. Pattern Recognit. Lett. 34(15): 1890-1898 (2013) - [j33]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Multi-view action recognition based on action volumes, fuzzy distances and cluster discriminant analysis. Signal Process. 93(6): 1445-1457 (2013) - [j32]Olga Zoidi, Anastasios Tefas, Ioannis Pitas:
Visual Object Tracking Based on Local Steering Kernels and Color Histograms. IEEE Trans. Circuits Syst. Video Technol. 23(5): 870-882 (2013) - [j31]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Minimum Class Variance Extreme Learning Machine for Human Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 23(11): 1968-1979 (2013) - [j30]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Multidimensional Sequence Classification Based on Fuzzy Distances and Discriminant Analysis. IEEE Trans. Knowl. Data Eng. 25(11): 2564-2575 (2013) - [j29]Olga Zoidi, Anastasios Tefas, Ioannis Pitas:
Multiplicative Update Rules for Concurrent Nonnegative Matrix Factorization and Maximum Margin Classification. IEEE Trans. Neural Networks Learn. Syst. 24(3): 422-434 (2013) - [j28]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
On the Optimal Class Representation in Linear Discriminant Analysis. IEEE Trans. Neural Networks Learn. Syst. 24(9): 1491-1497 (2013) - [c92]Ioannis Kapsouras, Stylianos Karanikolos, Nikolaos Nikolaidis, Anastasios Tefas:
Folk dance recognition using a bag of words approach and ISA/STIP features. BCI 2013: 71-74 - [c91]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Person identification from actions based on Artificial Neural Networks. CIBIM 2013: 7-13 - [c90]Anastasios Tefas, Alexandros Iosifidis, Ioannis Pitas:
Neural Networks for Digital Media Analysis and Description. EANN (1) 2013: 1-11 - [c89]Ioannis Kapsouras, Stylianos Karanikolos, Nikolaos Nikolaidis, Anastasios Tefas:
Feature Comparison and Feature Fusion for Traditional Dances Recognition. EANN (1) 2013: 172-181 - [c88]Maria Oikonomou, Anastasios Tefas:
Direct Multi-label Linear Discriminant Analysis. EANN (1) 2013: 414-423 - [c87]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Dynamic action classification based on iterative data selection and Feedforward Neural networks. EUSIPCO 2013: 1-5 - [c86]Symeon Nikitidis, Anastasios Tefas, Ioannis Pitas:
Maximum Margin Discriminant Projections for facial expression recognition. EUSIPCO 2013: 1-5 - [c85]Olga Zoidi, Anastasios Tefas, Ioannis Pitas:
Exploiting discriminant and SVM constraints in NMF. EUSIPCO 2013: 1-5 - [c84]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Active classification for human action recognition. ICIP 2013: 3249-3253 - [c83]Olga Zoidi, Anastasios Tefas, Ioannis Pitas:
Exploiting the SVM constraints in NMF with application in eating and drinking activity recognition. ICIP 2013: 3765-3769 - [c82]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Multi-view Human Action Recognition: A Survey. IIH-MSP 2013: 522-525 - [c81]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Representative Class Vector Clustering-Based Discriminant Analysis. IIH-MSP 2013: 526-529 - [c80]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
View-independent human action recognition based on multi-view action images and discriminant learning. IVMSP 2013: 1-4 - [c79]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Person identification from actions based on dynemes and discriminant learning. IWBF 2013: 1-4 - 2012
- [j27]Alexandros Iosifidis, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas:
Multi-view human movement recognition based on fuzzy distances and linear discriminant analysis. Comput. Vis. Image Underst. 116(3): 347-360 (2012) - [j26]Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas:
Shape matching using a binary search tree structure of weak classifiers. Pattern Recognit. 45(6): 2363-2376 (2012) - [j25]Symeon Nikitidis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Subclass discriminant Nonnegative Matrix Factorization for facial image analysis. Pattern Recognit. 45(12): 4080-4091 (2012) - [j24]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Activity-Based Person Identification Using Fuzzy Representation and Discriminant Learning. IEEE Trans. Inf. Forensics Secur. 7(2): 530-542 (2012) - [j23]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
View-Invariant Action Recognition Based on Artificial Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 23(3): 412-424 (2012) - [c78]Christos Athanasiadis, Damianos Galanopoulos, Anastasios Tefas:
Progressive neural network training for the Open Racing Car Simulator. CIG 2012: 116-123 - [c77]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Multi-view human action recognition under occlusion based on Fuzzy distances and neural networks. EUSIPCO 2012: 1129-1133 - [c76]Olga Zoidi, Anastasios Tefas, Ioannis Pitas:
Visual object tracking via Gabor-based salient features extraction. EUSIPCO 2012: 1925-1929 - [c75]Olga Zoidi, Anastasios Tefas, Ioannis Pitas:
Visual object tracking based on the object's salient features with application in automatic nutrition assistance. ICASSP 2012: 1469-1472 - [c74]Alexandros Iosifidis, Ermioni Marami, Anastasios Tefas, Ioannis Pitas:
Eating and drinking activity recognition based on discriminant analysis of fuzzy distances and activity volumes. ICASSP 2012: 2201-2204 - [c73]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Discriminant action representation for view-invariant person identification. ICIP 2012: 1177-1180 - [c72]Georgios Orfanidis, Anastasios Tefas:
Exploiting subclass information in Support Vector Machines. ICPR 2012: 1076-1079 - [c71]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Neural representation and learning for multi-view human action recognition. IJCNN 2012: 1-6 - [c70]Nikolaos Pitelis, Anastasios Tefas:
Discriminant Subspace Learning Based on Support Vectors Machines. MLDM 2012: 198-212 - [c69]Georgios Arvanitidis, Anastasios Tefas:
Exploiting graph embedding in support vector machines. MLSP 2012: 1-6 - [c68]Nicholas Vretos, Anastasios Tefas, Ioannis Pitas:
Facial expression recognition with robust covariance estimation and Support Vector Machines. MLSP 2012: 1-5 - [c67]Vasileios Gavriilidis, Anastasios Tefas:
Exploiting Quadratic Mutual Information for Discriminant Analysis. SETN 2012: 90-97 - [c66]Damianos Galanopoulos, Christos Athanasiadis, Anastasios Tefas:
Evolutionary Optimization of a Neural Network Controller for Car Racing Simulation. SETN 2012: 149-156 - 2011
- [j22]Anastasios Maronidis, Dimitris Bolis, Anastasios Tefas, Ioannis Pitas:
Improving subspace learning for facial expression recognition using person dependent and geometrically enriched training sets. Neural Networks 24(8): 814-823 (2011) - [c65]Symeon Nikitidis, Anastasios Tefas, Ioannis Pitas:
Recent advances in discriminant non-negative Matrix Factorization. ACPR 2011: 1-6 - [c64]Marios Kyperountas, Anastasios Tefas, Ioannis Pitas:
Entropy-Based Iterative Face Classification. BIOID 2011: 137-143 - [c63]Alexandros Iosifidis, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas:
Learning Human Identity Using View-Invariant Multi-view Movement Representation. BIOID 2011: 217-226 - [c62]Symeon Nikitidis, Anastasios Tefas, Ioannis Pitas:
Using subclasses in discriminant non-negative subspace learning for facial expression recognition. EUSIPCO 2011: 1964-1968 - [c61]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Person specific activity recognition using fuzzy learning and Discriminant Analysis. EUSIPCO 2011: 1974-1978 - [c60]Dimitrios Bouzas, Nikolaos Arvanitopoulos, Anastasios Tefas:
Optimizing Linear Discriminant Error Correcting Output Codes Using Particle Swarm Optimization. ICANN (2) 2011: 79-86 - [c59]Symeon Nikitidis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Facial expression recognition using clustering discriminant Non-negative Matrix Factorization. ICIP 2011: 3001-3004 - [c58]Anastasios Tefas, Ioannis Pitas:
Human Centered Interfaces for Assisted Living. ICMMI 2011: 3-10 - [c57]Ermioni Marami, Anastasios Tefas, Ioannis Pitas:
Nutrition Assistance Based on Skin Color Segmentation and Support Vector Machines. ICMMI 2011: 179-187 - 2010
- [j21]Nikolaos Tsapanos, Anastasios Tefas, Ioannis Pitas:
Online shape learning using binary search trees. Image Vis. Comput. 28(7): 1146-1154 (2010) - [j20]Marios Kyperountas, Anastasios Tefas, Ioannis Pitas:
Salient feature and reliable classifier selection for facial expression classification. Pattern Recognit. 43(3): 972-986 (2010) - [c56]Ermioni Marami, Anastasios Tefas:
Using Particle Swarm Optimization for scaling and rotation invariant face detection. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c55]Nikolaos Tsapanos, Anastasios Tefas, Ioannis Pitas:
Dynamic Shape Learning and Forgetting. ICANN (3) 2010: 333-338 - [c54]Stelios Petrakis, Anastasios Tefas:
Neural Networks Training for Weapon Selection in First-Person Shooter Games. ICANN (3) 2010: 417-422 - [c53]Anastasios Maronidis, Anastasios Tefas, Ioannis Pitas:
Frontal View Recognition Using Spectral Clustering and Subspace Learning Methods. ICANN (1) 2010: 460-469 - [c52]Dimitris Bolis, Anastasios Maronidis, Anastasios Tefas, Ioannis Pitas:
Improving the Robustness of Subspace Learning Techniques for Facial Expression Recognition. ICANN (1) 2010: 470-479 - [c51]Nikolaos Arvanitopoulos, Dimitrios Bouzas, Anastasios Tefas:
Subclass Error Correcting Output Codes Using Fisher's Linear Discriminant Ratio. ICPR 2010: 2953-2956 - [c50]Dimitrios Bouzas, Nikolaos Arvanitopoulos, Anastasios Tefas:
Optimizing subclass discriminant Error Correcting Output Codes using particle swarm optimization. IJCNN 2010: 1-7 - [c49]Nikolaos Arvanitopoulos, Dimitrios Bouzas, Anastasios Tefas:
Mutual Information Measures for Subclass Error-Correcting Output Codes Classification. SETN 2010: 19-28 - [c48]Ermioni Marami, Anastasios Tefas:
Face Detection Using Particle Swarm Optimization and Support Vector Machines. SETN 2010: 369-374 - [p1]Georgios Goudelis, Anastasios Tefas, Ioannis Pitas:
Intelligent Multimedia Analysis for Emerging Biometrics. Intelligent Multimedia Analysis for Security Applications 2010: 97-125
2000 – 2009
- 2009
- [c47]Georgios Goudelis, Anastasios Tefas, Ioannis Pitas:
Using mutual information to indicate facial poses in video sequences. CIVR 2009 - [c46]Nikolaos Gkalelis, Anastasios Tefas, Ioannis Pitas:
Fusion of Movement Specific Human Identification Experts. COST 2101/2102 Conference 2009: 138-145 - [c45]Nikolaos Gkalelis, Anastasios Tefas, Ioannis Pitas:
Human identification from human movements. ICIP 2009: 2585-2588 - [c44]Marios Kyperountas, Anastasios Tefas, Ioannis Pitas:
Pairwise facial expression classification. MMSP 2009: 1-4 - 2008
- [j19]Georgios Goudelis, Anastasios Tefas, Ioannis Pitas:
Emerging biometric modalities: a survey. J. Multimodal User Interfaces 2(3-4): 217-235 (2008) - [j18]Marios Kyperountas, Anastasios Tefas, Ioannis Pitas:
Dynamic training using multistage clustering for face recognition. Pattern Recognit. 41(3): 894-905 (2008) - [j17]Georgios Goudelis, Anastasios Tefas, Ioannis Pitas:
Automated Facial Pose Extraction From Video Sequences Based on Mutual Information. IEEE Trans. Circuits Syst. Video Technol. 18(3): 418-424 (2008) - [j16]Nikolaos Gkalelis, Anastasios Tefas, Ioannis Pitas:
Combining Fuzzy Vector Quantization With Linear Discriminant Analysis for Continuous Human Movement Recognition. IEEE Trans. Circuits Syst. Video Technol. 18(11): 1511-1521 (2008) - [c43]Nikolaos Gkalelis, Anastasios Tefas, Ioannis Pitas:
Human movement recognition using fuzzy clustering and discriminant analysis. EUSIPCO 2008: 1-5 - [c42]Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pitas:
Gender determination using a Support Vector Machine Variant. EUSIPCO 2008: 1-5 - [c41]Marios Kyperountas, Anastasios Tefas, Ioannis Pitas:
Face recognition via adaptive discriminant clustering. ICIP 2008: 2744-2747 - [c40]Georgios Goudelis, Stefanos Zafeiriou, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Motivating class-specific nonlinear projections for single and multiple view face verification. ICIP 2008: 2752-2755 - [c39]Nikolaos Gkalelis, Anastasios Tefas, Ioannis Pitas:
Sparse human movement representation and recognition. MMSP 2008: 165-169 - [c38]Nikolaos Tsapanos, Anastasios Tefas, Ioannis Pitas:
An Online Self-Balancing Binary Search Tree for Hierarchical Shape Matching. VISAPP (1) 2008: 591-597 - 2007
- [j15]Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pitas:
The discriminant elastic graph matching algorithm applied to frontal face verification. Pattern Recognit. 40(10): 2798-2810 (2007) - [j14]Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pitas:
Learning Discriminant Person-Specific Facial Models Using Expandable Graphs. IEEE Trans. Inf. Forensics Secur. 2(1): 55-68 (2007) - [j13]Georgios Goudelis, Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pitas:
Class-Specific Kernel-Discriminant Analysis for Face Verification. IEEE Trans. Inf. Forensics Secur. 2(3-2): 570-587 (2007) - [j12]Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pitas:
Minimum Class Variance Support Vector Machines. IEEE Trans. Image Process. 16(10): 2551-2564 (2007) - [j11]Marios Kyperountas, Anastasios Tefas, Ioannis Pitas:
Weighted Piecewise LDA for Solving the Small Sample Size Problem in Face Verification. IEEE Trans. Neural Networks 18(2): 506-519 (2007) - [c37]Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pitas:
Discriminant Graph Structures for Face Verification. ICASSP (1) 2007: 497-500 - [c36]Marios Kyperountas, Anastasios Tefas, Ioannis Pitas:
Face Verification using Locally Linear Discriminant Models. ICIP (4) 2007: 469-472 - [c35]Georgios Goudelis, Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pitas:
A Novel Kernel Discriminant Analysis for Face Verification. ICIP (4) 2007: 493-496 - 2006
- [j10]Stefanos Zafeiriou, Anastasios Tefas, Ioan Buciu, Ioannis Pitas:
Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification. IEEE Trans. Neural Networks 17(3): 683-695 (2006) - 2005
- [j9]Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pitas:
Blind Robust Watermarking Schemes for Copyright Protection of 3D Mesh Objects. IEEE Trans. Vis. Comput. Graph. 11(5): 596-607 (2005) - [c34]Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pitas:
Linear discriminant feature selection techniques in elastic graph matching. EUSIPCO 2005: 1-4 - [c33]Stefanos Zafeiriou, Anastasios Tefas, Ioan Buciu, Ioannis Pitas:
Class-Specific Discriminant Non-negative Matrix Factorization for Frontal Face Verification. ICAPR (2) 2005: 206-215 - [c32]Marios Kyperountas, Anastasios Tefas, Ioannis Pitas:
Methods for improving discriminant analysis for face authentication. ICASSP (2) 2005: 549-552 - [c31]Anastasios Tefas, Alexia Giannoula, Nikos Nikolaidis, Ioannis Pitas:
Enhanced transform-domain correlation-based audio watermarking. ICASSP (2) 2005: 1049-1052 - [c30]Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pitas:
Exploiting discriminant information in elastic graph matching. ICIP (3) 2005: 768-771 - 2004
- [c29]Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Chaoticwatermark sequences for correlation-based schemes. EUSIPCO 2004: 1891-1894 - [c28]Stefanos Zafeiriou, Anastasios Tefas, Ioannis Pitas:
A blind robust watermarking scheme for copyright protection of 3d mesh models. ICIP 2004: 1569-1572 - 2003
- [j8]Anastasios Tefas, Athanasios Nikolaidis, Nikos Nikolaidis, Vassilios Solachidis, Sofia Tsekeridou, Ioannis Pitas:
Performance analysis of correlation-based watermarking schemes employing Markov chaotic sequences. IEEE Trans. Signal Process. 51(7): 1979-1994 (2003) - [c27]Andreas Kalivas, Anastasios Tefas, Ioannis Pitas:
Watermarking of 3D models using principal component analysis. ICASSP (5) 2003: 676-679 - [c26]Alexia Giannoula, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Improving the detection reliability of correlation-based watermarking techniques. ICME 2003: 209-212 - [c25]Andreas Kalivas, Anastasios Tefas, Ioannis Pitas:
Watermarking of 3D models using principal component analysis. ICME 2003: 637-640 - [c24]Charalampos Laftsidis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Robust multibit audio watermarking in the temporal domain. ISCAS (2) 2003: 944-947 - 2002
- [j7]Anastasios Tefas, Constantine Kotropoulos, Ioannis Pitas:
Face verification using elastic graph matching based on morphological signal decomposition. Signal Process. 82(6): 833-851 (2002) - [c23]Anastasios Tefas, Giorgos Louizis, Ioannis Pitas:
3D image watermarking robust to geometric distortions. ICASSP 2002: 3465-3468 - [c22]Nikos Nikolaidis, Vassilios Solachidis, Anastasios Tefas, Ioannis Pitas:
Watermark detection: benchmarking perspectives. ICME (2) 2002: 493-496 - [c21]Giorgos Louizis, Anastasios Tefas, Ioannis Pitas:
Copyright protection of 3D images using watermarks of specific spatial structure. ICME (2) 2002: 557-560 - 2001
- [j6]Anastasios Tefas, Constantine Kotropoulos, Ioannis Pitas:
Using Support Vector Machines to Enhance the Performance of Elastic Graph Matching for Frontal Face Authentication. IEEE Trans. Pattern Anal. Mach. Intell. 23(7): 735-746 (2001) - [j5]Franco Bartolini, Anastasios Tefas, Mauro Barni, Ioannis Pitas:
Image authentication techniques for surveillance applications. Proc. IEEE 89(10): 1403-1418 (2001) - [j4]Sofia Tsekeridou, Vassilios Solachidis, Nikos Nikolaidis, Athanasios Nikolaidis, Anastasios Tefas, Ioannis Pitas:
Statistical analysis of a watermarking system based on Bernoulli chaotic sequences. Signal Process. 81(6): 1273-1293 (2001) - [c20]Sofia Tsekeridou, Vassilios Solachidis, Nikos Nikolaidis, Athanasios Nikolaidis, Anastasios Tefas, Ioannis Pitas:
Theoretic Performance Analysis of a Watermarking System based on Bernoulli Chaotic Sequences. Communications and Multimedia Security 2001 - [c19]Anastasios Tefas, Ioannis Pitas:
Robust spatial image watermarking using progressive detection. ICASSP 2001: 1973-1976 - [c18]Sofia Tsekeridou, Vassilios Solachidis, Nikos Nikolaidis, Athanasios Nikolaidis, Anastasios Tefas, Ioannis Pitas:
Bernoulli shift generated chaotic watermarks: theoretic investigation. ICASSP 2001: 1989-1992 - [c17]Athanasios Nikolaidis, Sofia Tsekeridou, Anastasios Tefas, Vassilios Solachidis:
A survey on watermarking application scenarios and related attacks. ICIP (3) 2001: 991-994 - [c16]Nikos Nikolaidis, Sofia Tsekeridou, Anastasios Tefas, Vassilios Solachidis, Athanasios Nikolaidis, Ioannis Pitas:
A benchmarking protocol for watermarking methods. ICIP (3) 2001: 1023-1026 - [c15]Anastasios Tefas, Athanasios Nikolaidis, Nikos Nikolaidis, Vassilios Solachidis, Sofia Tsekeridou, Ioannis Pitas:
Statistical analysis of Markov chaotic sequences for watermarking applications. ISCAS (2) 2001: 57-60 - 2000
- [j3]Constantine Kotropoulos, Anastasios Tefas, Ioannis Pitas:
Morphological elastic graph matching applied to frontal face authentication under well-controlled and real conditions. Pattern Recognit. 33(12): 1935-1947 (2000) - [j2]Constantine Kotropoulos, Anastasios Tefas, Ioannis Pitas:
Frontal face authentication using morphological elastic graph matching. IEEE Trans. Image Process. 9(4): 555-560 (2000) - [j1]Constantine Kotropoulos, Anastasios Tefas, Ioannis Pitas:
Frontal Face Authentication Using Discriminating Grids with Morphological Feature Vectors. IEEE Trans. Multim. 2(1): 14-26 (2000) - [c14]Anastasios Tefas, Ioannis Pitas:
Image authentication and tamper proofing using mathematical morphology. EUSIPCO 2000: 1-4 - [c13]Anastasios Tefas, Constantine Kotropoulos, Ioannis Pitas:
Face authentication by using elastic graph matching and support vector machines. ICASSP 2000: 2409-2412 - [c12]Anastasios Tefas, Constantine Kotropoulos, Ioannis Pitas:
Using Support Vector Machines for Face Authentication Based on Elastic Graph Matching. ICIP 2000: 29-32 - [c11]Anastasios Tefas, Ioannis Pitas:
Multi-Bit Image Watermarking Robust to Geometric Distortions. ICIP 2000: 710-713 - [c10]Jiri Matas, Miroslav Hamouz, Kenneth Jonsson, Josef Kittler, Yongping Li, Constantine Kotropoulos, Anastasios Tefas, Ioannis Pitas, Teewoon Tan, Hong Yan, Fabrizio Smeraldi, N. Capdevielle, Wulfram Gerstner, Yousri Abdeljaoued, Josef Bigün, S. Ben-Yacoub, Eddy Mayoraz:
Comparison of Face Verification Results on the XM2VTS Database. ICPR 2000: 4858-4863 - [c9]Anastasios Tefas, Ioannis Pitas:
Image authentication using chaotic mixing systems. ISCAS 2000: 216-219
1990 – 1999
- 1999
- [c8]Anastasios Tefas, Yann Menguy, Constantine Kotropoulos, Gaël Richard, Ioannis Pitas, Philip Lockwood:
Compensating for variable recording conditions in frontal face authentication algorithms. ICASSP 1999: 3561-3564 - [c7]Constantine Kotropoulos, Anastasios Tefas, Ioannis Pitas:
Morphological Elastic Graph Matching Applied to Frontal Face Authentication under Optimal and Real Conditions. ICMCS, Vol. 2 1999: 934-938 - [c6]Gaël Richard, Yann Menguy, I. Guis, N. Suaudeau, Jérôme Boudy, Philip Lockwood, C. Fernández, Fernando Fernández, Constantine Kotropoulos, Anastasios Tefas, Ioannis Pitas, R. Heimgartner, Peter Ryser, Charles Beumier, Patrick Verlinde, Steven Pigeon, George Matas, Josef Kittler, Josef Bigün, Yousri Abdeljaoued, Eric Meurville, Laurent Besacier, Michael Ansorge, Gilbert Maître, Juergen Luettin, S. Ben-Yacoub, Belén Ruíz, K. Aldama, J. Cortes:
Multi Modal Verification for Teleservices and Security Applications (M2VTS). ICMCS, Vol. 2 1999: 1061-1064 - [c5]Costas Kotropoulos, Anastasios Tefas, Ioannis Pitas, C. Fernández, F. Fernández:
Performance assessment of morphological dynamic link architecture under optimal and real operating conditions. NSIP 1999: 355-359 - 1998
- [c4]Anastasios Tefas, Constantine Kotropoulos, Ioannis Pitas:
Variants of Dynamic Link Architecture Based on Mathematical Morphology for Frontal Face Authentication. CVPR 1998: 814-819 - [c3]Anastasios Tefas, Constantine Kotropoulos, Ioannis Pitas:
Face Verification based on Morphological Shape Decomposition. FG 1998: 36-41 - [c2]Constantine Kotropoulos, Anastasios Tefas, Ioannis Pitas:
Face authentication using variants of elastic graph matching based on mathematical morphology that incorporate local discriminant coefficients. ICASSP 1998: 3729-3732 - [c1]Costas Kotropoulos, Anastasios Tefas, Ioannis Pitas:
Frontal Face Authentication using Variants of Dynamic Link Matching Based on Mathematical Morphology. ICIP (1) 1998: 122-126
Coauthor Index
[j148] [c267] [i31] [j141] [c252] [i24] [i22] [j123] [j120] [j119] [j111] [j109] [j108] [j106] [j104] [j103] [j102] [c229] [c227] [c225] [i13] [j101] [c207] [c203] [c200] [c194] [i11] [i10] [i9] [j85] [i7] [i6] [j72] [j68] [j66] [c167] [c164] [c160] [j64] [j62] [j61] [j58] [c156] [c155] [c145] [c140] [j56] [j55] [j54] [j53] [j50] [j49] [j46] [c138] [c136] [c135] [c134] [c133] [c131] [c129] [c128] [c125] [c120] [c119] [j44] [j43] [j42] [c116] [c115] [c113] [c110] [c109] [c108] [c106] [c101] [c99] [c97] [c94] [j36] [j34] [j33] [j31] [j30] [j28] [c91] [c90] [c87] [c84] [c82] [c81] [c80] [c79] [j27] [j24] [j23] [c77] [c74] [c73] [c71] [c63] [c61]
Constantine Kotropoulos
aka: Costas Kotropoulos
aka: Costas Kotropoulos
[j146] [i30] [j140] [c256] [c255] [c252] [i24] [c245] [c240] [i19] [j100] [j92] [j91] [c195] [c193] [j87] [j76] [j75] [c182] [j70] [c163] [j64] [j63] [j60] [j58] [c159] [c158] [c157] [c148] [c146] [c143] [c141] [j52] [j47] [c134] [c132] [c130] [c129] [c126] [c124] [c123] [j41] [j37] [c118] [c117] [c115] [c112] [c111] [c110] [c107] [c96] [c95] [c92] [c89] [j27] [j26] [j25] [c63] [c59] [c40] [c31] [c29] [j8] [c26] [c24] [c22] [j4] [c20] [c18] [c16] [c15]
Nikolaos Passalis
aka: Nikos Passalis
aka: Nikos Passalis
[j153] [j152] [j149] [j148] [c287] [c286] [c285] [c284] [i33] [i32] [j147] [j145] [j144] [j143] [j142] [c282] [c281] [c280] [c278] [c277] [c276] [c273] [c272] [c270] [c268] [c267] [c266] [c265] [c264] [c263] [i31] [i29] [i28] [i27] [i26] [i25] [j141] [j139] [j138] [j137] [j136] [j135] [j133] [c262] [c260] [c259] [c258] [c257] [c253] [c252] [c251] [c250] [c249] [c248] [c247] [c246] [i24] [i23] [i22] [i21] [i20] [j132] [j130] [j129] [j128] [j126] [j124] [j123] [j122] [j121] [j120] [c245] [c244] [c243] [c242] [c241] [c239] [c237] [c234] [c233] [i19] [i18] [j119] [j116] [j114] [j112] [j111] [j109] [j108] [j104] [j103] [j102] [c231] [c230] [c229] [c228] [c227] [c226] [c225] [c224] [c223] [c222] [c220] [c219] [c218] [c217] [c215] [c214] [c212] [c210] [c209] [i14] [i13] [j101] [j99] [j97] [j96] [j94] [j93] [j90] [j89] [c207] [c205] [c204] [c203] [c200] [c199] [c196] [c194] [c191] [p2] [i12] [i11] [i10] [i9] [j83] [j80] [j79] [j74] [j73] [c189] [c188] [c187] [c186] [c184] [c180] [c179] [c178] [c177] [i8] [i7] [i6] [i5] [i4] [i3] [j67] [j65] [c170] [c168] [c167] [c164] [c162] [c160] [i2] [i1] [j59] [c152] [c149] [c144]
[j151] [j146] [j140] [j127] [c240] [c235] [j117] [j115] [j107] [j105] [c232] [c213] [j100] [j95] [j92] [j91] [c208] [c202] [c201] [c197] [c195] [c193] [c192] [c190] [j87] [j85] [j84] [j76] [j75] [c185] [c183] [c182] [c181] [c178] [c175] [c174] [j72] [j70] [j69] [j68] [j66] [c163] [c161] [j64] [j63] [j62] [j61] [j60] [j58] [c159] [c156] [c155] [c154] [c153] [c148] [c146] [c145] [c141] [c140] [j56] [j55] [j54] [j53] [j52] [j51] [j50] [j49] [j48] [j47] [j46] [c139] [c138] [c137] [c136] [c135] [c134] [c133] [c132] [c131] [c130] [c129] [c128] [c127] [c126] [c125] [c124] [c123] [c122] [c121] [c120] [c119] [j44] [j43] [j42] [j41] [j40] [j39] [j38] [j37] [c118] [c117] [c116] [c115] [c114] [c113] [c112] [c111] [c110] [c109] [c108] [c107] [c106] [c101] [c99] [c98] [c97] [c96] [c95] [c94] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [c91] [c90] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [j27] [j26] [j25] [j24] [j23] [c77] [c76] [c75] [c74] [c73] [c71] [c68] [j22] [c65] [c64] [c63] [c62] [c61] [c59] [c58] [c57] [j21] [j20] [c55] [c53] [c52] [p1] [c47] [c46] [c45] [c44] [j19] [j18] [j17] [j16] [c43] [c42] [c41] [c40] [c39] [c38] [j15] [j14] [j13] [j12] [j11] [c37] [c36] [c35] [j10] [j9] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [j8] [c27] [c26] [c25] [c24] [j7] [c23] [c22] [c21] [j6] [j5] [j4] [c20] [c19] [c18] [c16] [c15] [j3] [j2] [j1] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
Nikos Pleros
aka: Nikolaos Pleros
aka: Nikolaos Pleros
[j150] [c283] [c279] [c275] [c271] [i30] [i28] [j140] [j138] [c261] [c256] [c255] [c254] [c252] [c249] [c248] [i24] [j132] [j125] [j122] [c238] [c236] [i17] [i16] [i15] [j113] [j110] [c231] [c222] [c218] [c216] [c211] [i14] [c206] [c198] [c193] [j86] [j81] [j78] [j77] [c176] [c173] [c166] [c151] [c142]
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of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-07 21:35 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
