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ORCIDSpiros V. Georgakopoulos
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2020 – today
- 2024
[j12]Kalliopi-Maria Stathopoulou, Spiros V. Georgakopoulos
, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
Investigating the overlap of machine learning algorithms in the final results of RNA-seq analysis on gene expression estimation. Health Inf. Sci. Syst. 12(1): 14 (2024)- [c28]Petros Barmpas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Hyperdimensional Computing Approaches in Single Cell RNA Sequencing Classification. CEC 2024: 1-8 - [c27]Paraskevi V. Tsakmaki, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Harnessing LSTMs for Enhanced Prediction of Psychotic Episodes in Schizophrenia Spectrum. CEC 2024: 1-8 - [c26]Steve Stavropoulos, Elissavet Zacharopoulou, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Artemis G. Hatzigeorgiou:
Leveraging Large Language Models for Information Extraction: Identifying microRNA - Gene Interactions in Biomedical Literature. CIBCB 2024: 1-7 - [c25]Panagiotis N. Sakellariou, Spiros V. Georgakopoulos:
Binary Black Hole Parameter Estimation from Gravitational Waves with Deep Learning Methods. EANN 2024: 70-81 - [c24]Petros Barmpas, Panagiotis Anagnostou, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
HCER: Hierarchical Clustering-Ensemble Regressor. EANN 2024: 369-378 - [c23]Paraskevi V. Tsakmaki, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Machine Learning-Driven Improvements in HRV Artifact Correction for Psychosis Prediction in the Schizophrenia Spectrum. EANN 2024: 544-557 - [i5]Panagiotis C. Theocharopoulos, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
Who Writes the Review, Human or AI? CoRR abs/2405.20285 (2024) - 2023
- [j11]Panagiotis C. Theocharopoulos, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
Analysing sentiment change detection of Covid-19 tweets. Neural Comput. Appl. 35(29): 21433-21443 (2023) - [j10]Ioannis A. Nellas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Two phase cooperative learning for supervised dimensionality reduction. Pattern Recognit. 144: 109871 (2023) - [c22]Panagiotis Anagnostou, Petros Barmpas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Neural Networks Voting for Projection Based Ensemble Classifiers. IEEE Big Data 2023: 4567-4574 - [c21]Panagiotis C. Theocharopoulos, Panagiotis Anagnostou, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
Detection of Fake Generated Scientific Abstracts. BigDataService 2023: 33-39 - [i4]Panagiotis C. Theocharopoulos, Panagiotis Anagnostou, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
Detection of Fake Generated Scientific Abstracts. CoRR abs/2304.06148 (2023) - 2022
- [j9]Petros Barmpas, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Panagiotis Anagnostou, Matthew Prina, José Luis Ayuso-Mateos, Jerome Bickenbach, Ivet Bayes, Martin Bobak, Francisco Félix Caballero, Somnath Chatterji, Laia Egea-Cortés, Esther García-Esquinas, Matilde Leonardi, Seppo Koskinen, Ilona Koupil, Andrzej Pajak, Martin Prince, Warren Sanderson, Sergei Scherbov, Abdonas Tamosiunas, Aleksander Galas, Josep Maria Haro, Albert Sanchez-Niubo, Vassilis P. Plagianakos, Demosthenes Panagiotakos:
A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project. Health Inf. Sci. Syst. 10(1): 6 (2022) - [c20]Panagiotis C. Theocharopoulos, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
Text Analysis of COVID-19 Tweets. EANN 2022: 517-528 - [c19]Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Serafeim P. Moustakidis, Dimitrios Tsaopoulos, Vassilis P. Plagianakos:
Deep Hybrid Learning for Anomaly Detection in Behavioral Monitoring. IJCNN 2022: 1-9 - [i3]Ioannis A. Nellas, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Spiros V. Georgakopoulos:
Supervised Dimensionality Reduction and Classification with Convolutional Autoencoders. CoRR abs/2208.12152 (2022) - 2021
- [j8]Panagiotis Anagnostou, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Matthew Prina, José Luis Ayuso-Mateos, Joachim Bickenbach, I. Bayes-Marin, Francisco Félix Caballero, Laia Egea-Cortés, Esther García-Esquinas, Matilde Leonardi, Sergei Scherbov, Abdonas Tamosiunas, Aleksander Galas, Josep Maria Haro, A. Sánchez-Martínez, Vassilis P. Plagianakos, Demosthenes Panagiotakos:
Enhancing the Human Health Status Prediction: The ATHLOS Project. Appl. Artif. Intell. 35(11): 834-856 (2021) - 2020
- [j7]Aristidis G. Vrahatis, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Ensemble Classification through Random Projections for Single-Cell RNA-Seq Data. Inf. 11(11): 502 (2020) - [j6]Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Georgios I. Mallis, Aristidis G. Vrahatis, Vassilis P. Plagianakos, Ilias G. Maglogiannis:
Change detection and convolution neural networks for fall recognition. Neural Comput. Appl. 32(23): 17245-17258 (2020) - [c18]Kostas Delibasis, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Ilias Maglogiannis, Vassilis P. Plagianakos:
On Image Prefiltering for Skin Lesion Characterization Utilizing Deep Transfer Learning. EANN 2020: 377-388 - [c17]Spiros V. Georgakopoulos, Parisis Gallos, Vassilis P. Plagianakos:
How to Extract and Explore Big Data for Fraud Detection in the Healthcare Sector: The EOPYY Case Study. MIE 2020: 1307-1308
2010 – 2019
- 2019
- [b1]Spiros V. Georgakopoulos:
Μέθοδοι υπολογιστικής νοημοσύνης για εφαρμογές σε περιβάλλοντα διάχυτης νοημοσύνης. University of Thessaly, Greece, 2019 - [j5]Spiros V. Georgakopoulos, Konstantina Kottari, Kostas Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis:
Improving the performance of convolutional neural network for skin image classification using the response of image analysis filters. Neural Comput. Appl. 31(6): 1805-1822 (2019) - [c16]Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Single-cell regulatory network inference and clustering from high-dimensional sequencing data. IEEE BigData 2019: 2782-2789 - [c15]Sotiris K. Tasoulis, Georgios I. Mallis, Spiros V. Georgakopoulos, Aristidis G. Vrahatis, Vassilis P. Plagianakos, Ilias G. Maglogiannis:
Deep Learning and Change Detection for Fall Recognition. EANN 2019: 262-273 - [c14]Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Efficient Learning Rate Adaptation for Convolutional Neural Network Training. IJCNN 2019: 1-8 - [c13]Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos:
Convolutional Neural Networks for Twitter Text Toxicity Analysis. INNSBDDL 2019: 370-379 - 2018
- [j4]Spiros V. Georgakopoulos, Konstantina Kottari, Kostas Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis:
Pose recognition using convolutional neural networks on omni-directional images. Neurocomputing 280: 23-31 (2018) - [j3]Dimitrios K. Iakovidis, Spiros V. Georgakopoulos, Michael Vasilakakis, Anastasios Koulaouzidis, Vassilis P. Plagianakos:
Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification. IEEE Trans. Medical Imaging 37(10): 2196-2210 (2018) - [c12]Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Biomedical Data Ensemble Classification using Random Projections. IEEE BigData 2018: 166-172 - [c11]Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Visualizing High-dimensional single-cell RNA-sequencing data through multiple Random Projections. IEEE BigData 2018: 5448-5450 - [c10]Kostas Delibasis, Ilias Maglogiannis, Spiros V. Georgakopoulos, Konstantina Kottari, Vassilis P. Plagianakos:
Assessing Image Analysis Filters as Augmented Input to Convolutional Neural Networks for Image Classification. ICANN (1) 2018: 188-196 - [c9]Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Real Time Sentiment Change Detection of Twitter Data Streams. INISTA 2018: 1-6 - [c8]Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos:
Convolutional Neural Networks for Toxic Comment Classification. SETN 2018: 35:1-35:6 - [i2]Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos:
Convolutional Neural Networks for Toxic Comment Classification. CoRR abs/1802.09957 (2018) - [i1]Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Real Time Sentiment Change Detection of Twitter Data Streams. CoRR abs/1804.00482 (2018) - 2017
- [c7]Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
A Novel Adaptive Learning Rate Algorithm for Convolutional Neural Network Training. EANN 2017: 327-336 - [c6]Spiros V. Georgakopoulos, Konstantina Kottari, Kostas Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis:
Detection of Malignant Melanomas in Dermoscopic Images Using Convolutional Neural Network with Transfer Learning. EANN 2017: 404-414 - 2016
- [j2]Konstantinos K. Delibasis, Spiros V. Georgakopoulos, Konstantina Kottari, Vassilis P. Plagianakos, Ilias Maglogiannis:
Geodesically-corrected Zernike descriptors for pose recognition in omni-directional images. Integr. Comput. Aided Eng. 23(2): 185-199 (2016) - [c5]Spiros V. Georgakopoulos, Konstantina Kottari, Kostas Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis:
Convolutional Neural Networks for Pose Recognition in Binary Omni-directional Images. AIAI 2016: 106-116 - 2015
- [j1]Ilias Maglogiannis, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
A software tool for the automatic detection and quantification of fibrotic tissues in microscopy images. Inf. Sci. 308: 125-139 (2015) - [c4]Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
Efficient change detection for high dimensional data streams. IEEE BigData 2015: 2219-2222 - [c3]Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Ilias Maglogiannis, Vassilis P. Plagianakos:
On-Line Fall Detection via Mobile Accelerometer Data. AIAI 2015: 103-112 - 2014
- [c2]Konstantinos K. Delibasis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos, Ilias Maglogiannis:
Calculation of Complex Zernike Moments with Geodesic Correction for Pose Recognition in Omni-directional Images. AIAI 2014: 375-384 - 2013
- [c1]Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Ilias Maglogiannis:
Artificial Neural Networks and Principal Components Analysis for Detection of Idiopathic Pulmonary Fibrosis in Microscopy Images. EANN (1) 2013: 292-301
Coauthor Index
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last updated on 2024-10-23 21:25 CEST by the dblp team
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