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ORCIDJohn Yannis Goulermas
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2020 – today
- 2024
[j69]Jinmeng Wu
, Tingting Mu, Jeyarajan Thiyagalingam, Hanyu Hong, Yanbin Hao, Tianxu Zhang, John Yannis Goulermas:
Iterative Semantic Transformer by Greedy Distillation for Community Question Answering. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3576-3588 (2024)- [j68]Penglei Gao, Xi Yang, Rui Zhang, Ping Guo, John Yannis Goulermas, Kaizhu Huang:
EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction With Exogenous Variables. IEEE Trans. Cybern. 54(9): 5381-5393 (2024) - [c20]Stavros Gerolymatos, Xenophon Evangelopoulos, Vladimir V. Gusev, John Yannis Goulermas:
Cluster Exploration Using Informative Manifold Projections. ECAI 2024: 2011-2018 - 2023
- [j67]Penglei Gao, Xi Yang, Rui Zhang, John Yannis Goulermas, Yujie Geng, Yuyao Yan, Kaizhu Huang:
Generalized image outpainting with U-transformer. Neural Networks 162: 1-10 (2023) - [j66]Chenru Jiang, Kaizhu Huang, Shufei Zhang, Xinheng Wang, Jimin Xiao, Yannis Goulermas:
Aggregated pyramid gating network for human pose estimation without pre-training. Pattern Recognit. 138: 109429 (2023) - [j65]Jing Li, Qiu-Feng Wang, Kaizhu Huang, Xi Yang, Rui Zhang, John Yannis Goulermas:
Towards better long-tailed oracle character recognition with adversarial data augmentation. Pattern Recognit. 140: 109534 (2023) - [j64]Miloslav Torda, John Yannis Goulermas, Roland Púcek, Vitaliy Kurlin:
Entropic Trust Region for Densest Crystallographic Symmetry Group Packings. SIAM J. Sci. Comput. 45(4) (2023) - [j63]Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang, John Yannis Goulermas:
Explainable Tensorized Neural Ordinary Differential Equations for Arbitrary-Step Time Series Prediction. IEEE Trans. Knowl. Data Eng. 35(6): 5837-5850 (2023) - [j62]Jinmeng Wu, Tingting Mu, Jeyan Thiyagalingam, John Yannis Goulermas:
Memory-Aware Attentive Control for Community Question Answering With Knowledge-Based Dual Refinement. IEEE Trans. Syst. Man Cybern. Syst. 53(7): 3930-3943 (2023) - [c19]Giovanni de Felice, John Yannis Goulermas, Vladimir V. Gusev:
Time Series Kernels based on Nonlinear Vector AutoRegressive Delay Embeddings. NeurIPS 2023 - [i5]Stavros Gerolymatos, Xenophon Evangelopoulos, Vladimir V. Gusev, John Yannis Goulermas:
Cluster Exploration using Informative Manifold Projections. CoRR abs/2309.14857 (2023) - 2022
- [j61]Xinjian Gao, Tingting Mu, John Yannis Goulermas, Jingkuan Song, Meng Wang:
Improving Image Similarity Learning by Adding External Memory. IEEE Trans. Knowl. Data Eng. 34(10): 4874-4887 (2022) - [i4]Miloslav Torda, John Yannis Goulermas, Roland Púcek, Vitaliy Kurlin:
Entropic trust region for densest crystallographic symmetry group packings. CoRR abs/2202.11959 (2022) - [i3]Yinzheng Zhong, John Yannis Goulermas, Alexei Lisitsa:
Process Mining Algorithm for Online Intrusion Detection System. CoRR abs/2205.12064 (2022) - [i2]Penglei Gao, Xi Yang, Kaizhu Huang, Rui Zhang, Ping Guo, John Yannis Goulermas:
EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction with Exogenous Variables. CoRR abs/2208.01913 (2022) - 2021
- [j60]Mengkai Ma, Qiu-Feng Wang, Shan Huang, Shen Huang, Yannis Goulermas, Kaizhu Huang:
Residual attention-based multi-scale script identification in scene text images. Neurocomputing 421: 222-233 (2021) - [j59]Guanyu Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain:
Coarse-grained generalized zero-shot learning with efficient self-focus mechanism. Neurocomputing 463: 400-410 (2021) - [j58]Mingjie Sun, Jimin Xiao, Eng Gee Lim, Si Liu, John Yannis Goulermas:
Discriminative Triad Matching and Reconstruction for Weakly Referring Expression Grounding. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 4189-4195 (2021) - [j57]Shuyi Qu, Kaizhu Huang, Amir Hussain, Yannis Goulermas:
A Multipath Fusion Strategy Based Single Shot Detector. Sensors 21(4): 1360 (2021) - [c18]Xiaoyu Huang, Edward George Jones, Siru Zhang, Shouyu Xie, Steve B. Furber, Yannis Goulermas, Edward Marsden, Ian Baistow, Srinjoy Mitra, Alister Hamilton:
An FPGA Implementation of Convolutional Spiking Neural Networks for Radioisotope Identification. ISCAS 2021: 1-5 - [i1]Mingjie Sun, Jimin Xiao, Eng Gee Lim, Si Liu, John Yannis Goulermas:
Discriminative Triad Matching and Reconstruction for Weakly Referring Expression Grounding. CoRR abs/2106.04053 (2021) - 2020
- [j56]Jinmeng Wu, Tingting Mu, Jeyarajan Thiyagalingam, John Yannis Goulermas:
Building interactive sentence-aware representation based on generative language model for community question answering. Neurocomputing 389: 93-107 (2020) - [j55]Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas:
Circular object arrangement using spherical embeddings. Pattern Recognit. 103: 107192 (2020) - [j54]Xinjian Gao, Tingting Mu, John Yannis Goulermas, Jeyarajan Thiyagalingam, Meng Wang:
An Interpretable Deep Architecture for Similarity Learning Built Upon Hierarchical Concepts. IEEE Trans. Image Process. 29: 3911-3926 (2020) - [j53]Yanbin Hao, Tingting Mu, Richang Hong, Meng Wang, Xueliang Liu, John Yannis Goulermas:
Cross-Domain Sentiment Encoding through Stochastic Word Embedding. IEEE Trans. Knowl. Data Eng. 32(10): 1909-1922 (2020) - [c17]Xiaoyu Huang, Edward George Jones, Siru Zhang, Steve B. Furber, Yannis Goulermas, Edward Marsden, Ian Baistow, Srinjoy Mitra, Alister Hamilton:
Event-based Signal Processing for Radioisotope Identification. EBCCSP 2020: 1-4 - [c16]Xiaoyu Huang, Edward George Jones, Siru Zhang, Shouyu Xie, Steve B. Furber, Yannis Goulermas, Edward Marsden, Ian Baistow, Srinjoy Mitra, Alister Hamilton:
Spiking Neural Network Based Low-Power Radioisotope Identification using FPGA. ICECS 2020: 1-4 - [c15]Guanyu Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain:
Inductive Generalized Zero-Shot Learning with Adversarial Relation Network. ECML/PKDD (2) 2020: 724-739
2010 – 2019
- 2019
- [j52]Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas:
A Novel Deep Density Model for Unsupervised Learning. Cogn. Comput. 11(6): 778-788 (2019) - [j51]Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas:
Continuation methods for approximate large scale object sequencing. Mach. Learn. 108(4): 595-626 (2019) - [c14]Guanyu Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain:
Self-focus Deep Embedding Model for Coarse-Grained Zero-Shot Classification. BICS 2019: 12-22 - [c13]Shuyi Qu, Kaizhu Huang, Amir Hussain, Yannis Goulermas:
MPSSD: Multi-Path Fusion Single Shot Detector. IJCNN 2019: 1-6 - 2018
- [j50]Liyun Gong, Tingting Mu, Meng Wang, Hengchang Liu, John Yannis Goulermas:
Evolutionary nonnegative matrix factorization with adaptive control of cluster quality. Neurocomputing 272: 237-249 (2018) - [j49]Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain:
A new two-layer mixture of factor analyzers with joint factor loading model for the classification of small dataset problems. Neurocomputing 312: 352-363 (2018) - [j48]Xinjian Gao, Tingting Mu, John Yannis Goulermas, Meng Wang:
Attention driven multi-modal similarity learning. Inf. Sci. 432: 530-542 (2018) - [j47]Tingting Mu, John Yannis Goulermas, Sophia Ananiadou:
Data Visualization with Structural Control of Global Cohort and Local Data Neighborhoods. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1323-1337 (2018) - [j46]Xinjian Gao, Tingting Mu, John Yannis Goulermas, Meng Wang:
Topic driven multimodal similarity learning with multi-view voted convolutional features. Pattern Recognit. 75: 223-234 (2018) - [j45]Austin J. Brockmeier, Tingting Mu, Sophia Ananiadou, John Yannis Goulermas:
Self-Tuned Descriptive Document Clustering Using a Predictive Network. IEEE Trans. Knowl. Data Eng. 30(10): 1929-1942 (2018) - [c12]Roberta Piroddi, John Yannis Goulermas, Simon Maskell, Jason F. Ralph:
Comparing Interrelationships Between Features and Embedding Methods for Multiple-View Fusion. FUSION 2018: 1-5 - 2017
- [j44]Yu Wu, Tingting Mu, John Yannis Goulermas:
Translating on pairwise entity space for knowledge graph embedding. Neurocomputing 260: 411-419 (2017) - [j43]Georgios Kontonatsios, Austin J. Brockmeier, Piotr Przybyla, John McNaught, Tingting Mu, John Yannis Goulermas, Sophia Ananiadou:
A semi-supervised approach using label propagation to support citation screening. J. Biomed. Informatics 72: 67-76 (2017) - [j42]Austin J. Brockmeier, Tingting Mu, Sophia Ananiadou, John Yannis Goulermas:
Quantifying the Informativeness of Similarity Measurements. J. Mach. Learn. Res. 18: 76:1-76:61 (2017) - [j41]Xi Yang, Kaizhu Huang, John Yannis Goulermas, Rui Zhang:
Joint Learning of Unsupervised Dimensionality Reduction and Gaussian Mixture Model. Neural Process. Lett. 45(3): 791-806 (2017) - [j40]Yu Wu, Tingting Mu, Panos Liatsis, John Yannis Goulermas:
Computation of heterogeneous object co-embeddings from relational measurements. Pattern Recognit. 65: 146-163 (2017) - [j39]Yanbin Hao, Tingting Mu, John Yannis Goulermas, Jianguo Jiang, Richang Hong, Meng Wang:
Unsupervised t-Distributed Video Hashing and Its Deep Hashing Extension. IEEE Trans. Image Process. 26(11): 5531-5544 (2017) - [j38]Yanbin Hao, Tingting Mu, Richang Hong, Meng Wang, Ning An, John Yannis Goulermas:
Stochastic Multiview Hashing for Large-Scale Near-Duplicate Video Retrieval. IEEE Trans. Multim. 19(1): 1-14 (2017) - [c11]Motoki Sato, Austin J. Brockmeier, Georgios Kontonatsios, Tingting Mu, John Yannis Goulermas, Jun'ichi Tsujii, Sophia Ananiadou:
Distributed Document and Phrase Co-embeddings for Descriptive Clustering. EACL (1) 2017: 991-1001 - [c10]Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas:
A Graduated Non-Convexity Relaxation for Large Scale Seriation. SDM 2017: 462-470 - 2016
- [j37]Tingting Mu, John Yannis Goulermas, Ioannis Korkontzelos, Sophia Ananiadou:
Descriptive document clustering via discriminant learning in a co-embedded space of multilevel similarities. J. Assoc. Inf. Sci. Technol. 67(1): 106-133 (2016) - [j36]John Yannis Goulermas, Alexandros Kostopoulos, Tingting Mu:
A New Measure for Analyzing and Fusing Sequences of Objects. IEEE Trans. Pattern Anal. Mach. Intell. 38(5): 833-848 (2016) - [j35]Danushka Bollegala, Tingting Mu, John Yannis Goulermas:
Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings. IEEE Trans. Knowl. Data Eng. 28(2): 398-410 (2016) - 2015
- [j34]Yuan Chi, Elias J. Griffith, John Yannis Goulermas, Jason F. Ralph:
Binary Data Embedding Framework for Multiclass Classification. IEEE Trans. Hum. Mach. Syst. 45(4): 453-464 (2015) - [c9]Liyun Gong, Tingting Mu, John Yannis Goulermas:
Evolutionary Nonnegative Matrix Factorization for Data Compression. ICIC (1) 2015: 23-33 - [c8]Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas:
Two-layer Mixture of Factor Analyzers with Joint Factor Loading. IJCNN 2015: 1-8 - 2014
- [j33]Konstantinos Nikolaidis, Tingting Mu, John Yannis Goulermas:
Prototype reduction based on Direct Weighted Pruning. Pattern Recognit. Lett. 36: 22-28 (2014) - [j32]Eduardo Rodriguez-Martinez, Tingting Mu, John Yannis Goulermas:
Sequential Projection Pursuit with Kernel Matrix Update and Symbolic Model Selection. IEEE Trans. Cybern. 44(12): 2458-2469 (2014) - [c7]Hamzah S. AlZubi, Simon Gerrard-Longworth, Waleed Al-Nuaimy, John Yannis Goulermas, Stephen J. Preece:
Human activity classification using a single accelerometer. UKCI 2014: 1-6 - 2013
- [j31]Tingting Mu, John Yannis Goulermas:
Automatic Generation of Co-Embeddings from Relational Data with Adaptive Shaping. IEEE Trans. Pattern Anal. Mach. Intell. 35(10): 2340-2356 (2013) - [j30]Eduardo Rodriguez-Martinez, Tingting Mu, Jianmin Jiang, John Yannis Goulermas:
Automated Induction of Heterogeneous Proximity Measures for Supervised Spectral Embedding. IEEE Trans. Neural Networks Learn. Syst. 24(10): 1575-1587 (2013) - [c6]Yuan Chi, Elias J. Griffith, John Yannis Goulermas, Jason F. Ralph:
Binary data embedding framework for face recognition. ICDP 2013: 1-6 - 2012
- [j29]Eduardo Rodriguez-Martinez, Konstantinos Nikolaidis, Tingting Mu, Jason F. Ralph, John Yannis Goulermas:
Towards collaborative feature extraction for face recognition. Nat. Comput. 11(3): 395-404 (2012) - [j28]Tingting Mu, John Yannis Goulermas, Jun'ichi Tsujii, Sophia Ananiadou:
Proximity-Based Frameworks for Generating Embeddings from Multi-Output Data. IEEE Trans. Pattern Anal. Mach. Intell. 34(11): 2216-2232 (2012) - [j27]Konstantinos Nikolaidis, Eduardo Rodriguez-Martinez, John Yannis Goulermas, Q. Henry Wu:
Spectral Graph Optimization for Instance Reduction. IEEE Trans. Neural Networks Learn. Syst. 23(7): 1169-1175 (2012) - [j26]Tingting Mu, Jianmin Jiang, Yan Wang, John Yannis Goulermas:
Adaptive Data Embedding Framework for Multiclass Classification. IEEE Trans. Neural Networks Learn. Syst. 23(8): 1291-1303 (2012) - [j25]Ehab E. Elattar, John Yannis Goulermas, Q. Henry Wu:
Generalized Locally Weighted GMDH for Short Term Load Forecasting. IEEE Trans. Syst. Man Cybern. Part C 42(3): 345-356 (2012) - 2011
- [j24]Konstantinos Nikolaidis, John Yannis Goulermas, Q. H. Wu:
A class boundary preserving algorithm for data condensation. Pattern Recognit. 44(3): 704-715 (2011) - 2010
- [j23]Ghulam Abbas, Atulya K. Nagar, Hissam Tawfik, John Yannis Goulermas:
Pricing and Unresponsive Flows Purging for Global Rate Enhancement. J. Electr. Comput. Eng. 2010: 379652:1-379652:10 (2010) - [j22]Min S. H. Aung, John Yannis Goulermas, Shaheen Hamdy, Maxine Power:
Spatiotemporal Visualizations for the Measurement of Oropharyngeal Transit Time From Videofluoroscopy. IEEE Trans. Biomed. Eng. 57(2): 432-441 (2010) - [j21]Tingting Mu, Todd C. Pataky, Andrew H. Findlow, Min S. H. Aung, John Yannis Goulermas:
Automated nonlinear feature generation and classification of foot pressure lesions. IEEE Trans. Inf. Technol. Biomed. 14(2): 418-424 (2010) - [j20]Eduardo Rodriguez-Martinez, John Yannis Goulermas, Tingting Mu, Jason F. Ralph:
Automatic induction of projection pursuit indices. IEEE Trans. Neural Networks 21(8): 1281-1295 (2010) - [j19]Ehab E. Elattar, John Yannis Goulermas, Q. Henry Wu:
Electric Load Forecasting Based on Locally Weighted Support Vector Regression. IEEE Trans. Syst. Man Cybern. Part C 40(4): 438-447 (2010) - [c5]Eduardo Rodriguez-Martinez, Konstantinos Nikolaidis, Tingting Mu, Jason F. Ralph, John Yannis Goulermas:
Collaborative projection pursuit for face recognition. BIC-TA 2010: 1346-1350 - [c4]Konstantinos Nikolaidis, Eduardo Rodriguez-Martinez, John Yannis Goulermas, Q. H. Wu:
Instance Seriation for Prototype Abstraction. BIC-TA 2010: 1351-1355
2000 – 2009
- 2009
- [j18]Panos Liatsis, John Yannis Goulermas, Xiao-Jun Zeng, Efstathios Milonidis:
A flexible visual inspection system based on neural networks. Int. J. Syst. Sci. 40(2): 173-186 (2009) - [j17]Stephen J. Preece, John Yannis Goulermas, Laurence P. J. Kenney, David Howard:
A Comparison of Feature Extraction Methods for the Classification of Dynamic Activities From Accelerometer Data. IEEE Trans. Biomed. Eng. 56(3): 871-879 (2009) - [c3]Ghulam Abbas, Atulya K. Nagar, Hissam Tawfik, John Yannis Goulermas:
Quality of service issues and nonconvex Network Utility Maximization for inelastic services in the Internet. MASCOTS 2009: 1-11 - 2008
- [j16]Panos Liatsis, M. A. Nazarboland, John Yannis Goulermas, Xiao-Jun Zeng, Efstathios Milonidis:
Automating the processing of cDNA microarray images. Int. J. Intell. Syst. Technol. Appl. 5(1/2): 115-144 (2008) - [j15]John Yannis Goulermas, Panos Liatsis, Xiao-Jun Zeng:
Kernel regression networks with local structural information and covariance volume adaptation. Neurocomputing 72(1-3): 257-261 (2008) - [j14]Philip A. Tresadern, Sibylle B. Thies, Laurence P. J. Kenney, David Howard, John Yannis Goulermas:
Rapid Prototyping for Functional Electrical Stimulation Control. IEEE Pervasive Comput. 7(2): 62-69 (2008) - [j13]Xiao-Jun Zeng, John Yannis Goulermas, Panos Liatsis, Di Wang, John A. Keane:
Hierarchical Fuzzy Systems for Function Approximation on Discrete Input Spaces With Application. IEEE Trans. Fuzzy Syst. 16(5): 1197-1215 (2008) - [j12]John Yannis Goulermas, Andrew H. Findlow, Christopher J. Nester, Panos Liatsis, Xiao-Jun Zeng, Laurence P. J. Kenney, Philip A. Tresadern, Sibylle B. Thies, David Howard:
An Instance-Based Algorithm With Auxiliary Similarity Information for the Estimation of Gait Kinematics From Wearable Sensors. IEEE Trans. Neural Networks 19(9): 1574-1582 (2008) - [j11]S. Nema, John Yannis Goulermas, G. Sparrow, Phil Cook:
A Hybrid Particle Swarm Branch-and-Bound (HPB) Optimizer for Mixed Discrete Nonlinear Programming. IEEE Trans. Syst. Man Cybern. Part A 38(6): 1 (2008) - [c2]Ghulam Abbas, Atulya Nagar, Hissam Tawfik, John Yannis Goulermas:
A Novel Approach to Distributed Network Utility Maximization for a Low-Loss Low-Delay Rate Control. EMS 2008: 530-535 - 2007
- [j10]John Yannis Goulermas, Panos Liatsis, Xiao-Jun Zeng, Phil Cook:
Density-Driven Generalized Regression Neural Networks (DD-GRNN) for Function Approximation. IEEE Trans. Neural Networks 18(6): 1683-1696 (2007) - [j9]John Yannis Goulermas, Xiao-Jun Zeng, Panos Liatsis, Jason F. Ralph:
Generalized Regression Neural Networks With Multiple-Bandwidth Sharing and Hybrid Optimization. IEEE Trans. Syst. Man Cybern. Part B 37(6): 1434-1445 (2007) - 2006
- [c1]Philip A. Tresadern, Sibylle B. Thies, Laurence P. J. Kenney, David Howard, John Yannis Goulermas:
Artificial Neural Network Prediction Using Accelerometers to Control Upper Limb FES During Reaching and Grasping Following Stroke. EMBC 2006: 2916-2919 - 2005
- [j8]John Yannis Goulermas, Andrew H. Findlow, Christopher J. Nester, David Howard, Peter Bowker:
Automated design of robust discriminant analysis classifier for foot pressure lesions using kinematic data. IEEE Trans. Biomed. Eng. 52(9): 1549-1562 (2005) - [j7]John Yannis Goulermas, Panos Liatsis, Terrence Fernando:
A Constrained Nonlinear Energy Minimization Framework for the Regularization of the Stereo Correspondence Problem. IEEE Trans. Circuits Syst. Video Technol. 15(4): 550-565 (2005) - 2003
- [j6]John Yannis Goulermas, Panos Liatsis:
A collective-based adaptive symbiotic model for surface reconstruction in area-based stereo. IEEE Trans. Evol. Comput. 7(5): 482-502 (2003) - 2002
- [j5]Amir R. Soltani, Hissam Tawfik, John Yannis Goulermas, Terrence Fernando:
Path planning in construction sites: performance evaluation of the Dijkstra, A*, and GA search algorithms. Adv. Eng. Informatics 16(4): 291-303 (2002) - 2001
- [j4]John Yannis Goulermas, Panos Liatsis:
Hybrid symbiotic genetic optimisation for robust edge-based stereo correspondence. Pattern Recognit. 34(12): 2477-2496 (2001) - 2000
- [j3]John Yannis Goulermas, Panos Liatsis:
A new parallel feature-based stereo-matching algorithm with figural continuity preservation, based on hybrid symbiotic genetic algorithms. Pattern Recognit. 33(3): 529-531 (2000)
1990 – 1999
- 1999
- [j2]John Yannis Goulermas, Panos Liatsis:
Incorporating Gradient Estimations in a Circle-Finding Probabilistic Hough Transform. Pattern Anal. Appl. 2(3): 239-250 (1999) - 1998
- [j1]John Yannis Goulermas, Panos Liatsis:
Genetically fine-tuning the Hough transform feature space, for the detection of circular objects. Image Vis. Comput. 16(9-10): 615-625 (1998)
Coauthor Index
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