Sotirios Chatzis

发表

A Quantum-Statistical Approach Towards Robot Learning by Demonstration

Yiannis Demiris, Sotirios Chatzis, Dimitrios Korkinof, 2012 .

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 probabilistic approach for failure localization

Sotirios Chatzis, Georgios Ellinas, Tania Panayiotou, 2017, 2017 International Conference on Optical Network Design and Modeling (ONDM).

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

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

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).

Variational Conditional-Dependence Hidden Markov Models for Human Action Recognition pdf

Sotirios Chatzis, Sergios Theodoridis, Konstantinos P. Panousis, 2020, ArXiv.

Code for ECML/PKDD submission: "Neural Probabilistic Matrix Factorization"

Sotirios Chatzis, 2016 .

A Spatially-Constrained Normalized Gamma Process for Data Clustering

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

A Coupled Indian Buffet Process Model for Collaborative Filtering

Sotirios Chatzis, 2012, ACML.

Managing service level agreement contracts in OGSA-based Grids

Sotirios Chatzis, Theodora A. Varvarigou, Kleopatra Konstanteli, 2008, Future Gener. Comput. Syst..

Mobile phones & behavioral modalities: Surveying users' practices

Sotirios Chatzis, Spyros Kokolakis, Olga Thanou, 2015, 2015 23rd Telecommunications Forum Telfor (TELFOR).

Echo State Gaussian Process

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

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.

A possibilistic clustering approach toward generative mixture models

Sotirios Chatzis, Gavriil Tsechpenakis, 2012, Pattern Recognit..

Recurrent Latent Variable Networks for Session-Based Recommendation

Sotirios Chatzis, Andreas S. Andreou, Panayiotis Christodoulou, 2017, DLRS@RecSys.

Deep Network Regularization via Bayesian Inference of Synaptic Connectivity

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

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

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

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

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

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.

A content-based image retrieval scheme allowing for robust automatic personalization

Sotirios Chatzis, Theodora A. Varvarigou, Anastasios D. Doulamis, 2007, CIVR '07.

Maximum entropy discrimination factor analyzers

Sotirios Chatzis, 2016, Neurocomputing.

Local Competition and Stochasticity for Adversarial Robustness in Deep Learning pdf

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

Infinite Markov-Switching Maximum Entropy Discrimination Machines

Sotirios Chatzis, S. Chatzis, 2013, ICML.

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).

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.

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

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

A robust approach towards sequential data modeling and its application in automatic gesture recognition

Sotirios Chatzis, Theodora A. Varvarigou, Dimitrios I. Kosmopoulos, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Sparse Bayesian Recurrent Neural Networks

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

Nonparametric Mixtures of Gaussian Processes With Power-Law Behavior

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

Asymmetric deep generative models

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

The echo state conditional random field model for sequential data modeling

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

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

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

A Cross Media Platform for Personalized Leisure & Entertainment: The POLYMNIA Approach

Stuart E. Middleton, Sotirios Chatzis, Georg Thallinger, 2006, 2006 Second International Conference on Automated Production of Cross Media Content for Multi-Channel Distribution (AXMEDIS'06).

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

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

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..

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

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

A nonparametric Bayesian approach toward robot learning by demonstration

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

A Non-stationary Infinite Partially-Observable Markov Decision Process

Sotirios Chatzis, Dimitrios I. Kosmopoulos, 2014, ICANN.

The Kernel Pitman-Yor Process pdf

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

The copula echo state network

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

Recurrent latent variable conditional heteroscedasticity

Sotirios Chatzis, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Variational Recurrent Neural Network for Session-Based Recommendations using Bayesian Personalized Ranking

Sotirios Chatzis, Andreas S. Andreou, Panayiotis Christodoulou, 2017, ISD.

Numerical optimization using synergetic swarms of foraging bacterial populations

Sotirios Chatzis, Spyros Koukas, 2011, Expert Syst. Appl..

Maximum Entropy Discrimination Denoising Autoencoders pdf

Sotirios Chatzis, 2014, ArXiv.

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

George Papadourakis, Sotirios Chatzis, Dimitrios I. Kosmopoulos, 2014, ISVC.

A stacked generalization system for automated FOREX portfolio trading

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

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

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

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).

A Recurrent Latent Variable Model for Supervised Modeling of High-Dimensional Sequential Data

Sotirios Chatzis, Andreas S. Andreou, Panayiotis Christodoulou, 2018, 2018 Innovations in Intelligent Systems and Applications (INISTA).

Nonparametric Bayesian Deep Networks with Local Competition pdf

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

A Latent Manifold Markovian Dynamics Gaussian Process

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

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

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

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.

Deep Bayesian Matrix Factorization

Sotirios Chatzis, 2017, PAKDD.

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

Sotirios Chatzis, S. Chatzis, 2013, Neurocomputing.

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.

Robust Visual Behavior Recognition

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

Corrigendum to "Maximum-margin classification of sequential data with infinitely-long temporal dependencies" [Expert Systems with Applications 40 (11) (2013) 4519-4527]

Sotirios Chatzis, 2013, Expert Syst. Appl..

Hidden Markov Models with Nonelliptically Contoured State Densities

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

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

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

Local Competition and Uncertainty for Adversarial Robustness in Deep Learning pdf

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

Developing Public Transport Network systems: The DIANA approach

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

A Mixture Gaussian Process Conditional Heteroscedasticity Model with Power-Law Nature pdf

Sotirios Chatzis, Emmanouil A. Platanios, 2012, ArXiv.

A ROBUSTTO OUTLIERSHIDDENMARKOV MODEL WITH APPLICATIONINTEXT-DEPENDENTSPEAKERIDENTIFICATION

Sotirios Chatzis, 2007 .

Deep learning with t-exponential Bayesian kitchen sinks

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

Which Attributes Matter the Most for Loan Origination? A Neural Attention Approach

Sotirios Chatzis, Antonios Alexos, 2020 .

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

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

The Infinite Hidden Markov Random Field Model

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

Dynamic Bayesian Probabilistic Matrix Factorization

Sotirios Chatzis, 2014, AAAI.

A Deep Learning Approach for Dynamic Balance Sheet Stress Testing

Sotirios Chatzis, Anastasios Petropoulos, Konstantinos P. Panousis, 2020 .

Latent subspace modeling of sequential data under the maximum entropy discrimination framework

Sotirios Chatzis, 2018, Neurocomputing.

Gated Mixture Variational Autoencoders for Value Added Tax audit case selection

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

The infinite Hidden Markov random field model

Sotirios Chatzis, Gavriil Tsechpenakis, 2009, ICCV.

Quantum Statistics-Inspired Neural Attention pdf

Sotirios Chatzis, Aristotelis Charalampous, 2018, ArXiv.

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..

A data-driven QoT decision approach for multicast connections in metro optical networks

Sotirios Chatzis, Georgios Ellinas, Tania Panayiotou, 2016, 2016 International Conference on Optical Network Design and Modeling (ONDM).

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.

Echo-State Conditional Restricted Boltzmann Machines

Sotirios Chatzis, S. Chatzis, 2014, AAAI.

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).

A method for training finite mixture models under a fuzzy clustering principle

Sotirios Chatzis, 2010, Fuzzy Sets Syst..

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

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

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.

A reservoir-driven non-stationary hidden Markov model

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

Inducing Space Dirichlet Process Mixture Large-Margin Entity RelationshipInference in Knowledge Bases

Sotirios Chatzis, 2015, CIKM.

Vision-based production of personalized video

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