S. Chatzis

发表

Performance analysis of a data-driven quality-of-transmission decision approach on a dynamic multicast- capable metro optical network

G. Ellinas, T. Panayiotou, S. P. Chatzis, 2017, IEEE/OSA Journal of Optical Communications and Networking.

BioGames: a new paradigm and a behavioral biometrics collection tool for research purposes

Ioannis C. Stylios, S. Chatzis, S. Kokolakis, 2021, Inf. Comput. Secur..

Renewable energy integration through optimal unit commitment and electricity storage in weak power networks

A. Poullikkas, S. Chatzis, P. Nikolaidis, 2018, International Journal of Sustainable Energy.

Variational Bayesian Sequence-to-Sequence Networks for Memory-Efficient Sign Language Translation

Dimitris N. Metaxas, Sotirios Chatzis, Dimitrios Kosmopoulos, 2021, International Symposium on Visual Computing.

Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling

Tsung-Hui Chang, S. Theodoridis, S. Chatzis, 2022, ArXiv.

Charging Policies for PHEVs used for Service Delivery: A Reinforcement Learning Approach

C. Panayiotou, G. Ellinas, T. Panayiotou, 2018 .

Nonparametric Mixtures of Multi-Output Heteroscedastic Gaussian Processes for Volatility Modeling

Emmanouil Antonios Platanios, S. Chatzis, 2012 .

Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling

Tsung-Hui Chang, S. Theodoridis, S. Chatzis, 2022, IEEE Signal Processing Magazine.

Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning

S. Chatzis, Konstantinos Kalais, 2022, ICML.

A Deep Learning Approach for Dynamic Balance Sheet Stress Testing

Konstantinos P. Panousis, S. Chatzis, T. Christophides, 2020, ICAIF.

Re-constructing the interbank links using machine learning techniques. An application to the Greek Interbank Market

S. Chatzis, Anastasios Petropoulos, Vasilis Siakoulis, 2021, Intelligent Systems with Applications.

A stacked generalization system for automated FOREX portfolio trading

Sotirios Chatzis, Anastasios Petropoulos, Nikos E. Vlachogiannakis, 2017, Expert Syst. Appl..

A novel corporate credit rating system based on Student's-t hidden Markov models

Sotirios Chatzis, Anastasios Petropoulos, Stylianos Z. Xanthopoulos, 2016, Expert Syst. Appl..

Robust fuzzy clustering using mixtures of Student's-t distributions

Sotirios Chatzis, Theodora A. Varvarigou, T. Varvarigou, 2008, Pattern Recognit. Lett..

A spatially-constrained normalized Gamma process prior

Yiannis Demiris, Dimitrios Korkinof, Sotirios P. Chatzis, 2012, Expert Syst. Appl..

A Quantum-Statistical Approach Towards Robot Learning by Demonstration

Yiannis Demiris, Sotirios Chatzis, Dimitrios Korkinof, 2012 .

A nonparametric Bayesian approach toward robot learning by demonstration

Yiannis Demiris, Sotirios Chatzis, Dimitrios Korkinof, 2012, Robotics Auton. Syst..

The copula echo state network

Yiannis Demiris, Sotirios Chatzis, Y. Demiris, 2012, Pattern Recognit..

$t$ -Exponential Memory Networks for Question-Answering Machines

Sotirios Chatzis, Kyriakos Tolias, S. Chatzis, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Amortized Context Vector Inference for Sequence-to-Sequence Networks pdf

Sotirios Chatzis, Aristotelis Charalampous, Kyriacos Tolias, 2018, ArXiv.

The Good, the Bad and the Bait: Detecting and Characterizing Clickbait on YouTube

Savvas Zannettou, Michael Sirivianos, Sotirios Chatzis, 2018, 2018 IEEE Security and Privacy Workshops (SPW).

Competing Mutual Information Constraints with Stochastic Competition-based Activations for Learning Diversified Representations

Sotirios Chatzis, Konstantinos P. Panousis, Anastasios Antoniadis, 2022, AAAI.

Local Competition and Stochasticity for Adversarial Robustness in Deep Learning pdf

Sotirios Chatzis, Sergios Theodoridis, Konstantinos P. Panousis, 2021, AISTATS.

Local Competition and Uncertainty for Adversarial Robustness in Deep Learning pdf

Sotirios Chatzis, Konstantinos P. Panousis, Antonios Alexos, 2020, ArXiv.

Nonparametric Bayesian Deep Networks with Local Competition pdf

Sergios Theodoridis, Sotirios Chatzis, Konstantinos P. Panousis, 2018, ICML.

Charging Policies for PREYs used for Service Delivery: A Reinforcement Learning Approach

Sotirios Chatzis, Christoforos Panayiotou, Georgios Ellinas, 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

On learning bandwidth allocation models for time-varying traffic in flexible optical networks

Sotirios Chatzis, Konstantinos Manousakis, Georgios Ellinas, 2018, 2018 International Conference on Optical Network Design and Modeling (ONDM).

Vision-based production of personalized video

Stuart E. Middleton, Sotirios Chatzis, Nikolaos D. Doulamis, 2009, Signal Process. Image Commun..

Echo State Gaussian Process

Yiannis Demiris, Sotirios Chatzis, Y. Demiris, 2011, IEEE Transactions on Neural Networks.

Key factors driving the adoption of behavioral biometrics and continuous authentication technology: an empirical research

Ioannis C. Stylios, S. Chatzis, S. Kokolakis, 2022, Inf. Comput. Secur..

A Markov random field-regulated Pitman-Yor process prior for spatially constrained data clustering

Sotirios Chatzis, S. Chatzis, 2013, Pattern Recognit..

A Spatially-Constrained Normalized Gamma Process for Data Clustering

Yiannis Demiris, Sotirios Chatzis, Dimitrios Korkinof, 2012, AIAI.

The Infinite Hidden Markov Random Field Model

Sotirios Chatzis, Gavriil Tsechpenakis, S. Chatzis, 2009, IEEE Transactions on Neural Networks.

A Fuzzy Clustering Approach Toward Hidden Markov Random Field Models for Enhanced Spatially Constrained Image Segmentation

Sotirios Chatzis, Theodora A. Varvarigou, T. Varvarigou, 2008, IEEE Transactions on Fuzzy Systems.

Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation pdf

Dimitris N. Metaxas, Sotirios Chatzis, Konstantinos P. Panousis, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Sparse Bayesian Recurrent Neural Networks

Sotirios Chatzis, S. Chatzis, 2015, ECML/PKDD.

Behavioral biometrics & continuous user authentication on mobile devices: A survey

Sotirios P. Chatzis, Spyros Kokolakis, Ioannis C. Stylios, 2021, Inf. Fusion.

Asymmetric deep generative models

Sotirios Chatzis, Harris Partaourides, S. Chatzis, 2017, Neurocomputing.

Video Representation and Retrieval Using Spatio-temporal Descriptors and Region Relations

Sotirios Chatzis, Theodora A. Varvarigou, Dimitrios I. Kosmopoulos, 2006, ICANN.

The echo state conditional random field model for sequential data modeling

Yiannis Demiris, Sotirios Chatzis, Y. Demiris, 2012, Expert Syst. Appl..

Gaussian Process-Mixture Conditional Heteroscedasticity

Sotirios Chatzis, Emmanouil Antonios Platanios, Emmanouil A. Platanios, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A fuzzy c-means-type algorithm for clustering of data with mixed numeric and categorical attributes employing a probabilistic dissimilarity functional

Sotirios Chatzis, S. Chatzis, 2011, Expert Syst. Appl..

A Data-Driven Bandwidth Allocation Framework With QoS Considerations for EONs

Konstantinos Manousakis, Sotirios P. Chatzis, Georgios Ellinas, 2019, Journal of Lightwave Technology.

Forecasting stock market crisis events using deep and statistical machine learning techniques

Sotirios Chatzis, Anastasios Petropoulos, Nikos E. Vlachogiannakis, 2018, Expert Syst. Appl..

Visual Workflow Recognition Using a Variational Bayesian Treatment of Multistream Fused Hidden Markov Models

Sotirios Chatzis, Dimitrios I. Kosmopoulos, D. Kosmopoulos, 2012, IEEE Transactions on Circuits and Systems for Video Technology.

A sparse nonparametric hierarchical Bayesian approach towards inductive transfer for preference modeling

Yiannis Demiris, Sotirios Chatzis, Y. Demiris, 2012, Expert Syst. Appl..

Life cycle cost analysis of electricity storage facilities in flexible power systems

Pavlos Nikolaidis, Sotirios P. Chatzis, Andreas Poullikkas, 2019, International Journal of Sustainable Energy.

Robust Sequential Data Modeling Using an Outlier Tolerant Hidden Markov Model

Sotirios Chatzis, Theodora A. Varvarigou, Dimitrios I. Kosmopoulos, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A reservoir-driven non-stationary hidden Markov model

Yiannis Demiris, Sotirios Chatzis, Y. Demiris, 2012, Pattern Recognit..

Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial Robustness pdf

Sergios Theodoridis, Sotirios Chatzis, Konstantinos P. Panousis, 2021, ArXiv.

Performance Analysis of a Data-Driven QoT Decision Approach on a Dynamic Multicast-Capable Metro Optical Network

T. Panayiotou, S. Chatzis, G. Ellinas, 2016 .

Users' Attitudes on Mobile Devices: Can Users' Practices Protect their Sensitive Data?

Sotirios Chatzis, Spyros Kokolakis, Olga Thanou, 2016, MCIS.

Deformable probability maps: Probabilistic shape and appearance-based object segmentation

Sotirios Chatzis, Gavriil Tsechpenakis, S. Chatzis, 2011, Comput. Vis. Image Underst..

A Self-Attentive Emotion Recognition Network

Sotirios Chatzis, Ilias Leontiadis, Nicolas Kourtellis, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Power-law mixtures of bayesian forests for value added tax audit case selection

S. Chatzis, T. Christophides, Christos Kleanthous, 2020, ICAIF.

Gaussian process-based Bayesian optimization for data-driven unit commitment

Sotirios P. Chatzis, Pavlos Nikolaidis, S. Chatzis, 2021 .

A variational Bayesian methodology for hidden Markov models utilizing Student's-t mixtures

Sotirios Chatzis, Dimitrios I. Kosmopoulos, D. Kosmopoulos, 2011, Pattern Recognit..

Signal Modeling and Classification Using a Robust Latent Space Model Based on $t$ Distributions

Sotirios Chatzis, Theodora A. Varvarigou, Dimitrios I. Kosmopoulos, 2008, IEEE Transactions on Signal Processing.

Hidden Markov Models with Nonelliptically Contoured State Densities

Sotirios Chatzis, S. Chatzis, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Amortized Context Vector Inference for Sequence-to-Sequence Networks

S. Chatzis, Aristotelis Charalampous, Kyriacos Tolias, 2018, ArXiv.

Optimal planning of electricity storage to minimize operating reserve requirements in an isolated island grid

Pavlos Nikolaidis, Sotirios P. Chatzis, Andreas Poullikkas, 2020, Energy Systems.

Leveraging statistical machine learning to address failure localization in optical networks

G. Ellinas, T. Panayiotou, S. P. Chatzis, 2018, IEEE/OSA Journal of Optical Communications and Networking.

Continuous authentication with feature-level fusion of touch gestures and keystroke dynamics to solve security and usability issues

Ioannis C. Stylios, S. Chatzis, S. Kokolakis, 2023, Computers & security.

Nonparametric Mixtures of Gaussian Processes With Power-Law Behavior

Yiannis Demiris, Sotirios Chatzis, Y. Demiris, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Gated Mixture Variational Autoencoders for Value Added Tax audit case selection

Sotirios Chatzis, Christos Kleanthous, S. Chatzis, 2020, Knowl. Based Syst..

The One-Hidden Layer Non-parametric Bayesian Kernel Machine

Yiannis Demiris, Sotirios Chatzis, Dimitrios Korkinof, 2011, 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence.

A Latent Manifold Markovian Dynamics Gaussian Process

Sotirios Chatzis, Dimitrios I. Kosmopoulos, D. Kosmopoulos, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Robust Visual Behavior Recognition

Sotirios Chatzis, Dimitrios T. Kosmopoulos, S. Chatzis, 2010, IEEE Signal Processing Magazine.

Deep learning with t-exponential Bayesian kitchen sinks

Sotirios Chatzis, Harris Partaourides, S. Chatzis, 2018, Expert Syst. Appl..

A hidden Markov model with dependence jumps for predictive modeling of multidimensional time-series

Sotirios Chatzis, Anastasios Petropoulos, Stelios Xanthopoulos, 2017, Inf. Sci..

Software defect prediction using doubly stochastic Poisson processes driven by stochastic belief networks

Sotirios Chatzis, Andreas S. Andreou, S. Chatzis, 2016, J. Syst. Softw..

A Nonstationary Hidden Markov Model with Approximately Infinitely-Long Time-Dependencies

George Papadourakis, Sotirios Chatzis, Dimitrios Kosmopoulos, 2016, Int. J. Artif. Intell. Tools.

Maximum Entropy Discrimination Poisson Regression for Software Reliability Modeling

Andreas S. Andreou, Sotirios P. Chatzis, S. Chatzis, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Indian Buffet Process Deep Generative Models for Semi-Supervised Classification

Sotirios Chatzis, S. Chatzis, 2014, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Margin-maximizing classification of sequential data with infinitely-long temporal dependencies

Sotirios Chatzis, S. Chatzis, 2013, Expert Syst. Appl..

The Infinite-Order Conditional Random Field Model for Sequential Data Modeling

Yiannis Demiris, Sotirios Chatzis, Y. Demiris, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Which brainstem cells generate the respiration cycles?

Sotirios Chatzis, Gavriil Tsechpenakis, A. W. Irvine, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Factor Analysis Latent Subspace Modeling and Robust Fuzzy Clustering Using $t$-Distributions

Sotirios Chatzis, Theodora A. Varvarigou, T. Varvarigou, 2009, IEEE Transactions on Fuzzy Systems.

AN OPERATIONAL IN SITU ICHTHYOPLANKTON IMAGING SYSTEM ( ISIIS )

S. Chatzis, G. Tsechpenakis, R. Cowen, 2009 .

A Partially-Observable Markov Decision Process for Dealing with Dynamically Changing Environments

Sotirios Chatzis, Dimitrios I. Kosmopoulos, D. Kosmopoulos, 2014, AIAI.

Echo-State Conditional Restricted Boltzmann Machines

Sotirios Chatzis, S. Chatzis, 2014, AAAI.

Nonparametric bayesian multitask collaborative filtering

Sotirios Chatzis, S. Chatzis, 2013, CIKM.

A conditional random field-based model for joint sequence segmentation and classification

Sotirios Chatzis, Dimitrios I. Kosmopoulos, Paul Doliotis, 2013, Pattern Recognit..

DISCOVER: Making Vision Networks Interpretable via Competition and Dissection

Konstantinos P. Panousis, S. Chatzis, 2023, NeurIPS.

Maximum Entropy Discrimination Poisson Regression for Software Reliability Modeling

S. Chatzis, A. Andreou, 2015, IEEE Transactions on Neural Networks and Learning Systems.

The infinite Hidden Markov random field model

S. Chatzis, Gavriil Tsechpenakis, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Developing Public Transport Network systems: The DIANA approach

Sotirios Chatzis, D. I. Kosmopoulos, M. Kalohristianakis, 2014, Panhellenic Conference on Informatics.

Deep Network Regularization via Bayesian Inference of Synaptic Connectivity

Sotirios Chatzis, Harris Partaourides, S. Chatzis, 2017, PAKDD.

Mixture Gaussian Process Conditional Heteroscedasticity

Sotirios P. Chatzis, Emmanouil Antonios Platanios, Emmanouil A. Platanios, 2012, 1211.4410.

A latent variable Gaussian process model with Pitman-Yor process priors for multiclass classification

Sotirios Chatzis, S. Chatzis, 2013, Neurocomputing.

Infinite Markov-Switching Maximum Entropy Discrimination Machines

Sotirios Chatzis, S. Chatzis, 2013, ICML.

The Kernel Pitman-Yor Process pdf

Yiannis Demiris, Sotirios Chatzis, Dimitrios Korkinof, 2012, ArXiv.

Quantum Statistics-Inspired Neural Attention

S. Chatzis, Aristotelis Charalampous, 2018, ArXiv.

$t$ -Exponential Memory Networks for Question-Answering Machines

S. Chatzis, Kyriakos Tolias, 2018, IEEE Transactions on Neural Networks and Learning Systems.

A Latent Manifold Markovian Dynamics Gaussian Process

D. Kosmopoulos, S. Chatzis, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Transformers with Stochastic Competition for Tabular Data Modelling

S. Chatzis, Andreas Voskou, Charalambos Christoforou, 2024, ArXiv.