Sotirios P. Chatzis

Publication Activity (10 Years)

Years Active: 2009-2019
Publications (10 Years): 23

Top Topics

Hierarchical Bayesian

Gaussian Process

Maximum Entropy Discrimination

Top Venues

Expert Syst. Appl.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Kyriakos Tolias, Sotirios P. Chatzis
t-Exponential Memory Networks for Question-Answering Machines. IEEE Trans. Neural Networks Learn. Syst. 30 (8) (2019)
Sotirios P. Chatzis
Indian Buffet Process Deep Generative Models for Semi-Supervised Classification. ICASSP (2018)
Harris Partaourides, Sotirios P. Chatzis
Deep Network Regularization via Bayesian Inference of Synaptic Connectivity. CoRR (2018)
Tania Panayiotou, Sotirios P. Chatzis, Georgios Ellinas
Leveraging Statistical Machine Learning to Address Failure Localization in Optical Networks. JOCN 10 (3) (2018)
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 (2018)
Tania Panayiotou, Sotirios P. Chatzis, Christos G. Panayiotou, Georgios Ellinas
Charging Policies for PREYs used for Service Delivery: A Reinforcement Learning Approach. ITSC (2018)
Tania Panayiotou, Konstantinos Manousakis, Sotirios P. Chatzis, Georgios Ellinas
On learning bandwidth allocation models for time-varying traffic in flexible optical networks. ONDM (2018)
Sotirios P. Chatzis
Latent subspace modeling of sequential data under the maximum entropy discrimination framework. Neurocomputing 312 (2018)
Panayiotis Christodoulou, Sotirios P. Chatzis, Andreas S. Andreou
A Recurrent Latent Variable Model for Supervised Modeling of High-Dimensional Sequential Data. INISTA (2018)
Harris Partaourides, Sotirios P. Chatzis
Asymmetric deep generative models. Neurocomputing 241 (2017)
Panayiotis Christodoulou, Sotirios P. Chatzis, Andreas S. Andreou
A Variational Recurrent Neural Network for Session-Based Recommendations using Bayesian Personalized Ranking. ISD (2017)
Anastasios Petropoulos, Sotirios P. Chatzis, Vasilis Siakoulis, Nikos E. Vlachogiannakis
A stacked generalization system for automated FOREX portfolio trading. Expert Syst. Appl. 90 (2017)
Tania Panayiotou, Sotirios P. Chatzis, Georgios Ellinas
A probabilistic approach for failure localization. ONDM (2017)
Sotirios P. Chatzis, Panayiotis Christodoulou, Andreas S. Andreou
Recurrent Latent Variable Networks for Session-Based Recommendation. DLRS@RecSys (2017)
Harris Partaourides, Sotirios P. Chatzis
Deep Network Regularization via Bayesian Inference of Synaptic Connectivity. PAKDD (1) (2017)
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) (2017)
Sotirios P. Chatzis
Deep Bayesian Matrix Factorization. PAKDD (2) (2017)
Sotirios P. Chatzis
Recurrent latent variable conditional heteroscedasticity. ICASSP (2017)
Anastasios Petropoulos, Sotirios P. Chatzis, Stelios Xanthopoulos
A hidden Markov model with dependence jumps for predictive modeling of multidimensional time-series. Inf. Sci. 412 (2017)
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 (2016)
Tania Panayiotou, Georgios Ellinas, Sotirios P. Chatzis
A data-driven QoT decision approach for multicast connections in metro optical networks. ONDM (2016)
Sotirios P. Chatzis
Maximum entropy discrimination factor analyzers. Neurocomputing 216 (2016)
Andreas S. Andreou, Sotirios P. Chatzis
Software defect prediction using doubly stochastic Poisson processes driven by stochastic belief networks. J. Syst. Softw. 122 (2016)
Sotirios P. Chatzis
Sparse Bayesian Recurrent Neural Networks. ECML/PKDD (2) (2015)
Sotirios P. Chatzis, Dimitrios I. Kosmopoulos
A Latent Manifold Markovian Dynamics Gaussian Process. IEEE Trans. Neural Networks Learn. Syst. 26 (1) (2015)
Sotirios P. Chatzis
Inducing Space Dirichlet Process Mixture Large-Margin Entity RelationshipInference in Knowledge Bases. CIKM (2015)
Sotirios P. Chatzis, Andreas S. Andreou
Maximum Entropy Discrimination Poisson Regression for Software Reliability Modeling. IEEE Trans. Neural Networks Learn. Syst. 26 (11) (2015)
Sotirios P. Chatzis, Dimitrios I. Kosmopoulos
A Nonparametric Bayesian Approach toward Stacked Convolutional Independent Component Analysis. ICCV (2015)
Sotirios P. Chatzis
Maximum Entropy Discrimination Denoising Autoencoders. CoRR (2014)
Sotirios P. Chatzis, Dimitrios I. Kosmopoulos
A Non-stationary Infinite Partially-Observable Markov Decision Process. ICANN (2014)
Sotirios P. Chatzis, Dimitrios I. Kosmopoulos
A Partially-Observable Markov Decision Process for Dealing with Dynamically Changing Environments. AIAI (2014)
Emmanouil A. Platanios, Sotirios P. Chatzis
Gaussian Process-Mixture Conditional Heteroscedasticity. IEEE Trans. Pattern Anal. Mach. Intell. 36 (5) (2014)
Sotirios P. Chatzis, Dimitrios I. Kosmopoulos, George M. Papadourakis
A Nonstationary Hidden Markov Model with Approximately Infinitely-Long Time-Dependencies. ISVC (2) (2014)
Sotirios P. Chatzis, Dimitrios I. Kosmopoulos, Paul Doliotis
A conditional random field-based model for joint sequence segmentation and classification. Pattern Recognit. 46 (6) (2013)
Sotirios P. Chatzis, Yiannis Demiris
The Infinite-Order Conditional Random Field Model for Sequential Data Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 35 (6) (2013)
Sotirios P. Chatzis
Margin-maximizing classification of sequential data with infinitely-long temporal dependencies. Expert Syst. Appl. 40 (11) (2013)
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) (2013)
Sotirios P. Chatzis
A latent variable Gaussian process model with Pitman-Yor process priors for multiclass classification. Neurocomputing 120 (2013)
Sotirios P. Chatzis
A Markov random field-regulated Pitman-Yor process prior for spatially constrained data clustering. Pattern Recognit. 46 (6) (2013)
Sotirios P. Chatzis, Yiannis Demiris
A sparse nonparametric hierarchical Bayesian approach towards inductive transfer for preference modeling. Expert Syst. Appl. 39 (8) (2012)
Sotirios P. Chatzis, Dimitrios Korkinof, Yiannis Demiris
A Quantum-Statistical Approach Toward Robot Learning by Demonstration. IEEE Trans. Robotics 28 (6) (2012)
Emmanouil A. Platanios, Sotirios P. Chatzis
A Mixture Gaussian Process Conditional Heteroscedasticity Model with Power-Law Nature CoRR (2012)
Sotirios P. Chatzis, Gavrill Tsechpenakis
A possibilistic clustering approach toward generative mixture models. Pattern Recognit. 45 (5) (2012)
Sotirios P. Chatzis, Yiannis Demiris
A reservoir-driven non-stationary hidden Markov model. Pattern Recognit. 45 (11) (2012)
Sotirios P. Chatzis, Dimitrios Korkinof, Yiannis Demiris
A Spatially-Constrained Normalized Gamma Process for Data Clustering. AIAI (1) (2012)
Sotirios P. Chatzis
A Coupled Indian Buffet Process Model for Collaborative Filtering. ACML (2012)
Sotirios P. Chatzis, Yiannis Demiris
The echo state conditional random field model for sequential data modeling. Expert Syst. Appl. 39 (11) (2012)
Sotirios P. Chatzis, Dimitrios Korkinof, Yiannis Demiris
A spatially-constrained normalized Gamma process prior. Expert Syst. Appl. 39 (17) (2012)
Sotirios P. Chatzis, Dimitrios Korkinof, Yiannis Demiris
A nonparametric Bayesian approach toward robot learning by demonstration. Robotics Auton. Syst. 60 (6) (2012)
Sotirios P. Chatzis, Yiannis Demiris
Nonparametric Mixtures of Gaussian Processes With Power-Law Behavior. IEEE Trans. Neural Networks Learn. Syst. 23 (12) (2012)
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) (2012)
Sotirios P. Chatzis, Dimitrios Korkinof, Yiannis Demiris
The Kernel Pitman-Yor Process CoRR (2012)
Sotirios P. Chatzis, Yiannis Demiris
The copula echo state network. Pattern Recognit. 45 (1) (2012)
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) (2011)
Gavrill Tsechpenakis, Sotirios P. Chatzis
Deformable probability maps: Probabilistic shape and appearance-based object segmentation. Comput. Vis. Image Underst. 115 (8) (2011)
Sotirios P. Chatzis, Dimitrios Korkinof, Yiannis Demiris
The One-Hidden Layer Non-parametric Bayesian Kernel Machine. ICTAI (2011)
Sotirios P. Chatzis, Yiannis Demiris
Echo State Gaussian Process. IEEE Trans. Neural Networks 22 (9) (2011)
Sotirios P. Chatzis, Spyros Koukas
Numerical optimization using synergetic swarms of foraging bacterial populations. Expert Syst. Appl. 38 (12) (2011)
Dimitrios T. Kosmopoulos, Sotirios P. Chatzis
Robust Visual Behavior Recognition. IEEE Signal Process. Mag. 27 (5) (2010)
A. W. Irvine, Sotirios P. Chatzis, Gavrill Tsechpenakis
Which brainstem cells generate the respiration cycles? ISBI (2010)
Sotirios P. Chatzis, Gabriel Tsechpenakis
The infinite hidden Markov random field model. IEEE Trans. Neural Networks 21 (6) (2010)
Sotirios P. Chatzis
Hidden Markov Models with Nonelliptically Contoured State Densities. IEEE Trans. Pattern Anal. Mach. Intell. 32 (12) (2010)
Sotirios P. Chatzis, Gabriel Tsechpenakis
The infinite Hidden Markov random field model. ICCV (2009)