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Journal Articles
- 2023
[j55]Ioannis Stylios
, Sotirios Chatzis, Olga Thanou, Spyros Kokolakis:
Continuous authentication with feature-level fusion of touch gestures and keystroke dynamics to solve security and usability issues. Comput. Secur. 132: 103363 (2023)- 2022
- [j54]Ioannis Stylios, Spyros Kokolakis, Andreas Skalkos, Sotirios Chatzis:
BioGames: a new paradigm and a behavioral biometrics collection tool for research purposes. Inf. Comput. Secur. 30(2): 243-254 (2022) - [j53]Ioannis Stylios, Spyros Kokolakis, Olga Thanou, Sotirios Chatzis:
Key factors driving the adoption of behavioral biometrics and continuous authentication technology: an empirical research. Inf. Comput. Secur. 30(4): 562-582 (2022) - [j52]Lei Cheng, Feng Yin, Sergios Theodoridis, Sotirios Chatzis, Tsung-Hui Chang:
Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling. IEEE Signal Process. Mag. 39(6): 18-52 (2022) - 2021
- [j51]Ioannis Stylios, Spyros Kokolakis, Olga Thanou, Sotirios Chatzis:
Behavioral biometrics & continuous user authentication on mobile devices: A survey. Inf. Fusion 66: 76-99 (2021) - [j50]Anastasios Petropoulos, Vasilis Siakoulis, Panagiotis Lazaris, Sotirios Chatzis:
Re-constructing the interbank links using machine learning techniques. An application to the Greek interbank market. Intell. Syst. Appl. 12: 200055 (2021) - 2020
- [j49]Christos Kleanthous, Sotirios Chatzis:
Gated Mixture Variational Autoencoders for Value Added Tax audit case selection. Knowl. Based Syst. 188 (2020) - 2019
- [j48]Kyriakos Tolias, Sotirios P. Chatzis:
t-Exponential Memory Networks for Question-Answering Machines. IEEE Trans. Neural Networks Learn. Syst. 30(8): 2463-2477 (2019) - 2018
- [j47]Harris Partaourides, Sotirios Chatzis:
Deep learning with t-exponential Bayesian kitchen sinks. Expert Syst. Appl. 98: 84-92 (2018) - [j46]Sotirios P. Chatzis, Vasilis Siakoulis, Anastasios Petropoulos, Evangelos Stavroulakis, Nikos E. Vlachogiannakis:
Forecasting stock market crisis events using deep and statistical machine learning techniques. Expert Syst. Appl. 112: 353-371 (2018) - [j45]Sotirios P. Chatzis:
Latent subspace modeling of sequential data under the maximum entropy discrimination framework. Neurocomputing 312: 210-217 (2018) - [j44]Tania Panayiotou, Sotirios P. Chatzis, Georgios Ellinas:
Leveraging Statistical Machine Learning to Address Failure Localization in Optical Networks. JOCN 10(3): 162-173 (2018) - 2017
- [j43]Anastasios Petropoulos, Sotirios P. Chatzis, Vasilis Siakoulis, Nikos E. Vlachogiannakis:
A stacked generalization system for automated FOREX portfolio trading. Expert Syst. Appl. 90: 290-302 (2017) - [j42]Harris Partaourides, Sotirios P. Chatzis:
Asymmetric deep generative models. Neurocomputing 241: 90-96 (2017) - [j41]Anastasios Petropoulos, Sotirios P. Chatzis, Stelios Xanthopoulos:
A hidden Markov model with dependence jumps for predictive modeling of multidimensional time-series. Inf. Sci. 412: 50-66 (2017) - [j40]Tania Panayiotou, Sotirios P. Chatzis, Georgios Ellinas:
Performance Analysis of a Data-Driven Quality-of-Transmission Decision Approach on a Dynamic Multicast-Capable Metro Optical Network. JOCN 9(1): 98-108 (2017) - 2016
- [j39]Anastasios Petropoulos, Sotirios P. Chatzis, Stylianos Z. Xanthopoulos:
A novel corporate credit rating system based on Student's-t hidden Markov models. Expert Syst. Appl. 53: 87-105 (2016) - [j38]Sotirios Chatzis, Dimitrios I. Kosmopoulos, George Papadourakis:
A Nonstationary Hidden Markov Model with Approximately Infinitely-Long Time-Dependencies. Int. J. Artif. Intell. Tools 25(5): 1640001:1-1640001:17 (2016) - [j37]Sotirios P. Chatzis:
Maximum entropy discrimination factor analyzers. Neurocomputing 216: 409-415 (2016) - [j36]Andreas S. Andreou, Sotirios P. Chatzis:
Software defect prediction using doubly stochastic Poisson processes driven by stochastic belief networks. J. Syst. Softw. 122: 72-82 (2016) - 2015
- [j35]Sotirios P. Chatzis, Dimitrios I. Kosmopoulos:
A Latent Manifold Markovian Dynamics Gaussian Process. IEEE Trans. Neural Networks Learn. Syst. 26(1): 70-83 (2015) - [j34]Sotirios P. Chatzis, Andreas S. Andreou:
Maximum Entropy Discrimination Poisson Regression for Software Reliability Modeling. IEEE Trans. Neural Networks Learn. Syst. 26(11): 2689-2701 (2015) - 2014
- [j33]Emmanouil A. Platanios, Sotirios P. Chatzis:
Gaussian Process-Mixture Conditional Heteroscedasticity. IEEE Trans. Pattern Anal. Mach. Intell. 36(5): 888-900 (2014) - 2013
- [j32]Sotirios P. Chatzis:
Margin-maximizing classification of sequential data with infinitely-long temporal dependencies. Expert Syst. Appl. 40(11): 4519-4527 (2013) - [j31]Sotirios P. Chatzis:
Corrigendum to "Maximum-margin classification of sequential data with infinitely-long temporal dependencies" [Expert Systems with Applications 40 (11) (2013) 4519-4527]. Expert Syst. Appl. 40(17): 6713 (2013) - [j30]Sotirios P. Chatzis:
A latent variable Gaussian process model with Pitman-Yor process priors for multiclass classification. Neurocomputing 120: 482-489 (2013) - [j29]Sotirios P. Chatzis, Yiannis Demiris:
The Infinite-Order Conditional Random Field Model for Sequential Data Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 35(6): 1523-1534 (2013) - [j28]Sotirios P. Chatzis, Dimitrios I. Kosmopoulos, Paul Doliotis:
A conditional random field-based model for joint sequence segmentation and classification. Pattern Recognit. 46(6): 1569-1578 (2013) - [j27]Sotirios P. Chatzis:
A Markov random field-regulated Pitman-Yor process prior for spatially constrained data clustering. Pattern Recognit. 46(6): 1595-1603 (2013) - 2012
- [j26]Sotirios P. Chatzis, Yiannis Demiris:
A sparse nonparametric hierarchical Bayesian approach towards inductive transfer for preference modeling. Expert Syst. Appl. 39(8): 7235-7246 (2012) - [j25]Sotirios P. Chatzis, Yiannis Demiris:
The echo state conditional random field model for sequential data modeling. Expert Syst. Appl. 39(11): 10303-10309 (2012) - [j24]Sotirios P. Chatzis, Dimitrios Korkinof, Yiannis Demiris:
A spatially-constrained normalized Gamma process prior. Expert Syst. Appl. 39(17): 13019-13025 (2012) - [j23]Sotirios P. Chatzis, Yiannis Demiris:
The copula echo state network. Pattern Recognit. 45(1): 570-577 (2012) - [j22]Sotirios P. Chatzis, Gavrill Tsechpenakis:
A possibilistic clustering approach toward generative mixture models. Pattern Recognit. 45(5): 1819-1825 (2012) - [j21]Sotirios P. Chatzis, Yiannis Demiris:
A reservoir-driven non-stationary hidden Markov model. Pattern Recognit. 45(11): 3985-3996 (2012) - [j20]Sotirios P. Chatzis, Dimitrios Korkinof, Yiannis Demiris:
A nonparametric Bayesian approach toward robot learning by demonstration. Robotics Auton. Syst. 60(6): 789-802 (2012) - [j19]Sotirios P. Chatzis, Dimitrios I. Kosmopoulos:
Visual Workflow Recognition Using a Variational Bayesian Treatment of Multistream Fused Hidden Markov Models. IEEE Trans. Circuits Syst. Video Technol. 22(7): 1076-1086 (2012) - [j18]Sotirios P. Chatzis, Yiannis Demiris:
Nonparametric Mixtures of Gaussian Processes With Power-Law Behavior. IEEE Trans. Neural Networks Learn. Syst. 23(12): 1862-1871 (2012) - [j17]Sotirios P. Chatzis, Dimitrios Korkinof, Yiannis Demiris:
A Quantum-Statistical Approach Toward Robot Learning by Demonstration. IEEE Trans. Robotics 28(6): 1371-1381 (2012) - 2011
- [j16]Gavrill Tsechpenakis, Sotirios P. Chatzis:
Deformable probability maps: Probabilistic shape and appearance-based object segmentation. Comput. Vis. Image Underst. 115(8): 1157-1169 (2011) - [j15]Sotirios P. Chatzis:
A fuzzy c-means-type algorithm for clustering of data with mixed numeric and categorical attributes employing a probabilistic dissimilarity functional. Expert Syst. Appl. 38(7): 8684-8689 (2011) - [j14]Sotirios P. Chatzis, Spyros Koukas:
Numerical optimization using synergetic swarms of foraging bacterial populations. Expert Syst. Appl. 38(12): 15332-15343 (2011) - [j13]Sotirios Chatzis, Dimitrios I. Kosmopoulos:
A variational Bayesian methodology for hidden Markov models utilizing Student's-t mixtures. Pattern Recognit. 44(2): 295-306 (2011) - [j12]Sotirios P. Chatzis, Yiannis Demiris:
Echo State Gaussian Process. IEEE Trans. Neural Networks 22(9): 1435-1445 (2011) - 2010
- [j11]Sotirios Chatzis:
A method for training finite mixture models under a fuzzy clustering principle. Fuzzy Sets Syst. 161(23): 3000-3013 (2010) - [j10]Sotirios P. Chatzis:
Hidden Markov Models with Nonelliptically Contoured State Densities. IEEE Trans. Pattern Anal. Mach. Intell. 32(12): 2297-2304 (2010) - [j9]Dimitrios I. Kosmopoulos, Sotirios P. Chatzis:
Robust Visual Behavior Recognition. IEEE Signal Process. Mag. 27(5): 34-45 (2010) - [j8]Sotirios P. Chatzis, Gabriel Tsechpenakis:
The infinite hidden Markov random field model. IEEE Trans. Neural Networks 21(6): 1004-1014 (2010) - 2009
- [j7]Sotirios Chatzis, Dimitrios I. Kosmopoulos, Theodora A. Varvarigou:
Robust Sequential Data Modeling Using an Outlier Tolerant Hidden Markov Model. IEEE Trans. Pattern Anal. Mach. Intell. 31(9): 1657-1669 (2009) - [j6]Dimitrios I. Kosmopoulos, Anastasios D. Doulamis, Alexandros Makris, Nikolaos D. Doulamis, Sotirios Chatzis, Stuart E. Middleton:
Vision-based production of personalized video. Signal Process. Image Commun. 24(3): 158-176 (2009) - [j5]Sotirios Chatzis, Theodora A. Varvarigou:
Factor Analysis Latent Subspace Modeling and Robust Fuzzy Clustering Using t -Distributions. IEEE Trans. Fuzzy Syst. 17(3): 505-517 (2009) - 2008
- [j4]Antonios Litke, Kleopatra Konstanteli, Vassiliki Andronikou, Sotirios Chatzis, Theodora A. Varvarigou:
Managing service level agreement contracts in OGSA-based Grids. Future Gener. Comput. Syst. 24(4): 245-258 (2008) - [j3]Sotirios Chatzis, Theodora A. Varvarigou:
Robust fuzzy clustering using mixtures of Student's-t distributions. Pattern Recognit. Lett. 29(13): 1901-1905 (2008) - [j2]Sotirios Chatzis, Theodora A. Varvarigou:
A Fuzzy Clustering Approach Toward Hidden Markov Random Field Models for Enhanced Spatially Constrained Image Segmentation. IEEE Trans. Fuzzy Syst. 16(5): 1351-1361 (2008) - [j1]Sotirios Chatzis, Dimitrios I. Kosmopoulos, Theodora A. Varvarigou:
Signal Modeling and Classification Using a Robust Latent Space Model Based on t Distributions. IEEE Trans. Signal Process. 56(3): 949-963 (2008)
Conference and Workshop Papers
- 2023
- [c45]Andreas Voskou, Konstantinos P. Panousis, Harris Partaourides, Kyriakos Tolias, Sotirios Chatzis:
A New Dataset for End-to-End Sign Language Translation: The Greek Elementary School Dataset. ICCV (Workshops) 2023: 1958-1967 - [c44]Konstantinos P. Panousis, Sotirios Chatzis:
DISCOVER: Making Vision Networks Interpretable via Competition and Dissection. NeurIPS 2023 - 2022
- [c43]Konstantinos P. Panousis, Anastasios Antoniadis, Sotirios Chatzis:
Competing Mutual Information Constraints with Stochastic Competition-Based Activations for Learning Diversified Representations. AAAI 2022: 7931-7940 - [c42]Anastasios Petropoulos, Vasilis Siakoulis, Konstantinos P. Panousis, Loukas Papadoulas, Sotirios Chatzis:
A Deep Learning Approach for Dynamic Balance Sheet Stress Testing. ICAIF 2022: 53-61 - [c41]Konstantinos Kalais, Sotirios Chatzis:
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning. ICML 2022: 10586-10597 - 2021
- [c40]Konstantinos P. Panousis, Sotirios Chatzis, Antonios Alexos, Sergios Theodoridis:
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning. AISTATS 2021: 3862-3870 - [c39]Andreas Voskou, Konstantinos P. Panousis, Dimitrios I. Kosmopoulos, Dimitris N. Metaxas, Sotirios Chatzis:
Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation. ICCV 2021: 11926-11935 - [c38]Sergis Nicolaou, Lambros Mavrides, Georgina Tryfou, Kyriakos Tolias, Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis:
Dialog Speech Sentiment Classification for Imbalanced Datasets. SPECOM 2021: 460-471 - 2020
- [c37]Christos Kleanthous, Theodoros Christophides, Sotirios Chatzis:
Power-law mixtures of bayesian forests for value added tax audit case selection. ICAIF 2020: 22:1-22:8 - [c36]Harris Partaourides, Kostantinos Papadamou, Nicolas Kourtellis, Ilias Leontiadis, Sotirios Chatzis:
A Self-Attentive Emotion Recognition Network. ICASSP 2020: 7199-7203 - [c35]Harris Partaourides, Andreas Voskou, Dimitrios I. Kosmopoulos, Sotirios Chatzis, Dimitris N. Metaxas:
Variational Bayesian Sequence-to-Sequence Networks for Memory-Efficient Sign Language Translation. ISVC (2) 2020: 251-262 - 2019
- [c34]Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis:
Nonparametric Bayesian Deep Networks with Local Competition. ICML 2019: 4980-4988 - 2018
- [c33]Sotirios P. Chatzis:
Indian Buffet Process Deep Generative Models for Semi-Supervised Classification. ICASSP 2018: 2456-2460 - [c32]Panayiotis Christodoulou, Sotirios P. Chatzis, Andreas S. Andreou:
A Recurrent Latent Variable Model for Supervised Modeling of High-Dimensional Sequential Data. INISTA 2018: 1-9 - [c31]Tania Panayiotou, Sotirios P. Chatzis, Christos G. Panayiotou, Georgios Ellinas:
Charging Policies for PREYs used for Service Delivery: A Reinforcement Learning Approach. ITSC 2018: 1514-1521 - [c30]Tania Panayiotou, Konstantinos Manousakis, Sotirios P. Chatzis, Georgios Ellinas:
On learning bandwidth allocation models for time-varying traffic in flexible optical networks. ONDM 2018: 194-199 - [c29]Savvas Zannettou, Sotirios Chatzis, Kostantinos Papadamou, Michael Sirivianos:
The Good, the Bad and the Bait: Detecting and Characterizing Clickbait on YouTube. IEEE Symposium on Security and Privacy Workshops 2018: 63-69 - 2017
- [c28]Sotirios P. Chatzis:
Recurrent latent variable conditional heteroscedasticity. ICASSP 2017: 2711-2715 - [c27]Panayiotis Christodoulou, Sotirios P. Chatzis, Andreas S. Andreou:
A Variational Recurrent Neural Network for Session-Based Recommendations using Bayesian Personalized Ranking. ISD 2017 - [c26]Tania Panayiotou, Sotirios P. Chatzis, Georgios Ellinas:
A probabilistic approach for failure localization. ONDM 2017: 1-6 - [c25]Harris Partaourides, Sotirios P. Chatzis:
Deep Network Regularization via Bayesian Inference of Synaptic Connectivity. PAKDD (1) 2017: 30-41 - [c24]Sotirios P. Chatzis:
Deep Bayesian Matrix Factorization. PAKDD (2) 2017: 453-464 - [c23]Sotirios P. Chatzis, Panayiotis Christodoulou, Andreas S. Andreou:
Recurrent Latent Variable Networks for Session-Based Recommendation. DLRS@RecSys 2017: 38-45 - 2016
- [c22]Ioannis Stylios, Spyros Kokolakis, Olga Thanou, Sotirios Chatzis:
Users' Attitudes on Mobile Devices: Can Users' Practices Protect their Sensitive Data? MCIS 2016: 1 - [c21]Tania Panayiotou, Georgios Ellinas, Sotirios P. Chatzis:
A data-driven QoT decision approach for multicast connections in metro optical networks. ONDM 2016: 1-6 - 2015
- [c20]Sotirios P. Chatzis:
Inducing Space Dirichlet Process Mixture Large-Margin Entity RelationshipInference in Knowledge Bases. CIKM 2015: 1311-1320 - [c19]Sotirios P. Chatzis, Dimitrios I. Kosmopoulos:
A Nonparametric Bayesian Approach toward Stacked Convolutional Independent Component Analysis. ICCV 2015: 2803-2811 - [c18]Sotirios P. Chatzis:
Sparse Bayesian Recurrent Neural Networks. ECML/PKDD (2) 2015: 359-372 - 2014
- [c17]Sotirios Chatzis:
Dynamic Bayesian Probabilistic Matrix Factorization. AAAI 2014: 1731-1737 - [c16]Sotirios Chatzis:
Echo-State Conditional Restricted Boltzmann Machines. AAAI 2014: 1738-1744 - [c15]Sotirios P. Chatzis, Dimitrios I. Kosmopoulos:
A Non-stationary Infinite Partially-Observable Markov Decision Process. ICANN 2014: 355-362 - [c14]Sotirios P. Chatzis, Dimitrios I. Kosmopoulos:
A Partially-Observable Markov Decision Process for Dealing with Dynamically Changing Environments. AIAI 2014: 111-120 - [c13]Sotirios P. Chatzis, Dimitrios I. Kosmopoulos, George M. Papadourakis:
A Nonstationary Hidden Markov Model with Approximately Infinitely-Long Time-Dependencies. ISVC (2) 2014: 51-62 - [c12]Dimitrios I. Kosmopoulos, M. Kalohristianakis, Athanasios G. Malamos, Sotirios Chatzis, M. Pternea, Konstantinos L. Kepaptsoglou, Matthew G. Karlaftis:
Developing Public Transport Network systems: The DIANA approach. Panhellenic Conference on Informatics 2014: 27:1-27:6 - 2013
- [c11]Sotirios Chatzis:
Nonparametric bayesian multitask collaborative filtering. CIKM 2013: 2149-2158 - [c10]Sotirios Chatzis:
Infinite Markov-Switching Maximum Entropy Discrimination Machines. ICML (3) 2013: 729-737 - 2012
- [c9]Sotirios P. Chatzis, Dimitrios Korkinof, Yiannis Demiris:
A Spatially-Constrained Normalized Gamma Process for Data Clustering. AIAI (1) 2012: 337-346 - [c8]Sotirios P. Chatzis:
A Coupled Indian Buffet Process Model for Collaborative Filtering. ACML 2012: 65-79 - 2011
- [c7]Sotirios P. Chatzis, Dimitrios Korkinof, Yiannis Demiris:
The One-Hidden Layer Non-parametric Bayesian Kernel Machine. ICTAI 2011: 825-831 - 2010
- [c6]Allison W. Irvine, Sotirios P. Chatzis, Gavrill Tsechpenakis:
Which brainstem cells generate the respiration cycles? ISBI 2010: 65-68 - 2009
- [c5]Sotirios P. Chatzis, Gabriel Tsechpenakis:
The infinite Hidden Markov random field model. ICCV 2009: 654-661 - 2008
- [c4]Sotirios Chatzis, Dimitrios I. Kosmopoulos, Theodora A. Varvarigou:
A robust approach towards sequential data modeling and its application in automatic gesture recognition. ICASSP 2008: 1937-1940 - 2007
- [c3]Sotirios Chatzis, Anastasios D. Doulamis, Theodora A. Varvarigou:
A content-based image retrieval scheme allowing for robust automatic personalization. CIVR 2007: 1-8 - 2006
- [c2]Vasilios Anagnostopoulos, Sotirios Chatzis, Constantinos Lalos, Anastasios D. Doulamis, Dimitrios I. Kosmopoulos, Theodora A. Varvarigou, Helmut Neuschmied, Georg Thallinger, Stuart E. Middleton, Matthew Addis, Eduardo Bustos, Fabrizio Giorgini:
A Cross Media Platform for Personalized Leisure & Entertainment: The POLYMNIA Approach. AXMEDIS 2006: 283-290 - [c1]Sotirios Chatzis, Anastasios D. Doulamis, Dimitrios I. Kosmopoulos, Theodora A. Varvarigou:
Video Representation and Retrieval Using Spatio-temporal Descriptors and Region Relations. ICANN (2) 2006: 94-103
Informal and Other Publications
- 2024
- [i26]Theodoros Christophides, Kyriakos Tolias, Sotirios Chatzis:
Continual Deep Learning on the Edge via Stochastic Local Competition among Subnetworks. CoRR abs/2407.10758 (2024) - [i25]Andreas Voskou, Charalambos Christoforou, Sotirios Chatzis:
Transformers with Stochastic Competition for Tabular Data Modelling. CoRR abs/2407.13238 (2024) - 2023
- [i24]Andreas Voskou, Konstantinos P. Panousis, Harris Partaourides, Kyriakos Tolias, Sotirios Chatzis:
A New Dataset for End-to-End Sign Language Translation: The Greek Elementary School Dataset. CoRR abs/2310.04753 (2023) - [i23]Konstantinos P. Panousis, Sotirios Chatzis:
DISCOVER: Making Vision Networks Interpretable via Competition and Dissection. CoRR abs/2310.04929 (2023) - 2022
- [i22]Konstantinos P. Panousis, Anastasios Antoniadis, Sotirios Chatzis:
Competing Mutual Information Constraints with Stochastic Competition-based Activations for Learning Diversified Representations. CoRR abs/2201.03624 (2022) - [i21]Lei Cheng, Feng Yin, Sergios Theodoridis, Sotirios Chatzis, Tsung-Hui Chang:
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling. CoRR abs/2205.14283 (2022) - [i20]Konstantinos Kalais, Sotirios Chatzis:
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning. CoRR abs/2208.01573 (2022) - 2021
- [i19]Konstantinos P. Panousis, Sotirios Chatzis, Antonios Alexos, Sergios Theodoridis:
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning. CoRR abs/2101.01121 (2021) - [i18]Harris Partaourides, Andreas Voskou, Dimitrios I. Kosmopoulos, Sotirios Chatzis, Dimitris N. Metaxas:
Variational Bayesian Sequence-to-Sequence Networks for Memory-Efficient Sign Language Translation. CoRR abs/2102.06143 (2021) - [i17]Sergis Nicolaou, Lambros Mavrides, Georgina Tryfou, Kyriakos Tolias, Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis:
Dialog speech sentiment classification for imbalanced datasets. CoRR abs/2109.07228 (2021) - [i16]Andreas Voskou, Konstantinos P. Panousis, Dimitrios I. Kosmopoulos, Dimitris N. Metaxas, Sotirios Chatzis:
Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation. CoRR abs/2109.13318 (2021) - [i15]Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis:
Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial Robustness. CoRR abs/2112.02671 (2021) - 2020
- [i14]Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis:
Variational Conditional-Dependence Hidden Markov Models for Human Action Recognition. CoRR abs/2002.05809 (2020) - [i13]Antonios Alexos, Konstantinos P. Panousis, Sotirios Chatzis:
Local Competition and Uncertainty for Adversarial Robustness in Deep Learning. CoRR abs/2006.10620 (2020) - 2019
- [i12]Harris Partaourides, Kostantinos Papadamou, Nicolas Kourtellis, Ilias Leontiadis, Sotirios Chatzis:
A Self-Attentive Emotion Recognition Network. CoRR abs/1905.01972 (2019) - 2018
- [i11]Harris Partaourides, Sotirios Chatzis:
Deep learning with t-exponential Bayesian kitchen sinks. CoRR abs/1802.03651 (2018) - [i10]Harris Partaourides, Sotirios P. Chatzis:
Deep Network Regularization via Bayesian Inference of Synaptic Connectivity. CoRR abs/1803.01349 (2018) - [i9]Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis:
Nonparametric Bayesian Deep Networks with Local Competition. CoRR abs/1805.07624 (2018) - [i8]Sotirios Chatzis, Aristotelis Charalampous, Kyriacos Tolias, Sotiris A. Vassou:
Amortized Context Vector Inference for Sequence-to-Sequence Networks. CoRR abs/1805.09039 (2018) - [i7]Kyriakos Tolias, Sotirios Chatzis:
t-Exponential Memory Networks for Question-Answering Machines. CoRR abs/1809.01229 (2018) - [i6]Aristotelis Charalampous, Sotirios Chatzis:
Quantum Statistics-Inspired Neural Attention. CoRR abs/1809.06205 (2018) - 2017
- [i5]Sotirios Chatzis, Panayiotis Christodoulou, Andreas S. Andreou:
Recurrent Latent Variable Networks for Session-Based Recommendation. CoRR abs/1706.04026 (2017) - 2014
- [i4]Sotirios P. Chatzis:
Maximum Entropy Discrimination Denoising Autoencoders. CoRR abs/1402.3427 (2014) - [i3]Sotirios P. Chatzis:
A Nonparametric Bayesian Approach Toward Stacked Convolutional Independent Component Analysis. CoRR abs/1411.4423 (2014) - 2012
- [i2]Sotirios P. Chatzis, Dimitrios Korkinof, Yiannis Demiris:
The Kernel Pitman-Yor Process. CoRR abs/1210.4184 (2012) - [i1]Emmanouil A. Platanios, Sotirios P. Chatzis:
A Mixture Gaussian Process Conditional Heteroscedasticity Model with Power-Law Nature. CoRR abs/1211.4410 (2012)
Coauthor Index
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OpenAlex data
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last updated on 2024-10-07 22:08 CEST by the dblp team
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