Sotirios P. Chatzis

64 papers A* 2A 1B 1C 3Misc 3Journal 42Unranked 12

Year	Rank	Type	Title / Venue / Authors
2019	J	`jnl`	t-Exponential Memory Networks for Question-Answering Machines. IEEE Trans. Neural Networks Learn. Syst. Kyriakos Tolias, Sotirios P. Chatzis
2018	C	`conf`	A Recurrent Latent Variable Model for Supervised Modeling of High-Dimensional Sequential Data. INISTA Panayiotis Christodoulou, Sotirios P. Chatzis, Andreas S. Andreou
2018	—	`conf`	Charging Policies for PREYs used for Service Delivery: A Reinforcement Learning Approach. ITSC Tania Panayiotou, Sotirios P. Chatzis, Christos G. Panayiotou, Georgios Ellinas
2018	J	`jnl`	Deep Network Regularization via Bayesian Inference of Synaptic Connectivity. CoRR Harris Partaourides, Sotirios P. Chatzis
2018	J	`jnl`	Forecasting stock market crisis events using deep and statistical machine learning techniques. Expert Syst. Appl. Sotirios P. Chatzis, Vasilis Siakoulis, Anastasios Petropoulos, Evangelos Stavroulakis, Nikos E. Vlachogiannakis
2018	Misc	`conf`	Indian Buffet Process Deep Generative Models for Semi-Supervised Classification. ICASSP Sotirios P. Chatzis
2018	J	`jnl`	Latent subspace modeling of sequential data under the maximum entropy discrimination framework. Neurocomputing Sotirios P. Chatzis
2018	J	`jnl`	Leveraging Statistical Machine Learning to Address Failure Localization in Optical Networks. JOCN Tania Panayiotou, Sotirios P. Chatzis, Georgios Ellinas
2018	—	`conf`	On learning bandwidth allocation models for time-varying traffic in flexible optical networks. ONDM Tania Panayiotou, Konstantinos Manousakis, Sotirios P. Chatzis, Georgios Ellinas
2017	—	`conf`	A Variational Recurrent Neural Network for Session-Based Recommendations using Bayesian Personalized Ranking. ISD Panayiotis Christodoulou, Sotirios P. Chatzis, Andreas S. Andreou
2017	J	`jnl`	A hidden Markov model with dependence jumps for predictive modeling of multidimensional time-series. Inf. Sci. Anastasios Petropoulos, Sotirios P. Chatzis, Stelios Xanthopoulos
2017	—	`conf`	A probabilistic approach for failure localization. ONDM Tania Panayiotou, Sotirios P. Chatzis, Georgios Ellinas
2017	J	`jnl`	A stacked generalization system for automated FOREX portfolio trading. Expert Syst. Appl. Anastasios Petropoulos, Sotirios P. Chatzis, Vasilis Siakoulis, Nikos E. Vlachogiannakis
2017	J	`jnl`	Asymmetric deep generative models. Neurocomputing Harris Partaourides, Sotirios P. Chatzis
2017	—	`conf`	Deep Bayesian Matrix Factorization. PAKDD (2) Sotirios P. Chatzis
2017	—	`conf`	Deep Network Regularization via Bayesian Inference of Synaptic Connectivity. PAKDD (1) Harris Partaourides, Sotirios P. Chatzis
2017	J	`jnl`	Performance Analysis of a Data-Driven Quality-of-Transmission Decision Approach on a Dynamic Multicast-Capable Metro Optical Network. JOCN Tania Panayiotou, Sotirios P. Chatzis, Georgios Ellinas
2017	—	`conf`	Recurrent Latent Variable Networks for Session-Based Recommendation. DLRS@RecSys Sotirios P. Chatzis, Panayiotis Christodoulou, Andreas S. Andreou
2017	Misc	`conf`	Recurrent latent variable conditional heteroscedasticity. ICASSP Sotirios P. Chatzis
2016	—	`conf`	A data-driven QoT decision approach for multicast connections in metro optical networks. ONDM Tania Panayiotou, Georgios Ellinas, Sotirios P. Chatzis
2016	J	`jnl`	A novel corporate credit rating system based on Student's-t hidden Markov models. Expert Syst. Appl. Anastasios Petropoulos, Sotirios P. Chatzis, Stylianos Z. Xanthopoulos
2016	J	`jnl`	Maximum entropy discrimination factor analyzers. Neurocomputing Sotirios P. Chatzis
2016	J	`jnl`	Software defect prediction using doubly stochastic Poisson processes driven by stochastic belief networks. J. Syst. Softw. Andreas S. Andreou, Sotirios P. Chatzis
2015	J	`jnl`	A Latent Manifold Markovian Dynamics Gaussian Process. IEEE Trans. Neural Networks Learn. Syst. Sotirios P. Chatzis, Dimitrios I. Kosmopoulos
2015	A*	`conf`	A Nonparametric Bayesian Approach toward Stacked Convolutional Independent Component Analysis. ICCV Sotirios P. Chatzis, Dimitrios I. Kosmopoulos
2015	A	`conf`	Inducing Space Dirichlet Process Mixture Large-Margin Entity RelationshipInference in Knowledge Bases. CIKM Sotirios P. Chatzis
2015	J	`jnl`	Maximum Entropy Discrimination Poisson Regression for Software Reliability Modeling. IEEE Trans. Neural Networks Learn. Syst. Sotirios P. Chatzis, Andreas S. Andreou
2015	—	`conf`	Sparse Bayesian Recurrent Neural Networks. ECML/PKDD (2) Sotirios P. Chatzis
2014	C	`conf`	A Non-stationary Infinite Partially-Observable Markov Decision Process. ICANN Sotirios P. Chatzis, Dimitrios I. Kosmopoulos
2014	J	`jnl`	A Nonparametric Bayesian Approach Toward Stacked Convolutional Independent Component Analysis. CoRR Sotirios P. Chatzis
2014	—	`conf`	A Nonstationary Hidden Markov Model with Approximately Infinitely-Long Time-Dependencies. ISVC (2) Sotirios P. Chatzis, Dimitrios I. Kosmopoulos, George M. Papadourakis
2014	Misc	`conf`	A Partially-Observable Markov Decision Process for Dealing with Dynamically Changing Environments. AIAI Sotirios P. Chatzis, Dimitrios I. Kosmopoulos
2014	J	`jnl`	Gaussian Process-Mixture Conditional Heteroscedasticity. IEEE Trans. Pattern Anal. Mach. Intell. Emmanouil A. Platanios, Sotirios P. Chatzis
2014	J	`jnl`	Maximum Entropy Discrimination Denoising Autoencoders. CoRR Sotirios P. Chatzis
2013	J	`jnl`	A Markov random field-regulated Pitman-Yor process prior for spatially constrained data clustering. Pattern Recognit. Sotirios P. Chatzis
2013	J	`jnl`	A conditional random field-based model for joint sequence segmentation and classification. Pattern Recognit. Sotirios P. Chatzis, Dimitrios I. Kosmopoulos, Paul Doliotis
2013	J	`jnl`	A latent variable Gaussian process model with Pitman-Yor process priors for multiclass classification. Neurocomputing Sotirios P. Chatzis
2013	J	`jnl`	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. Sotirios P. Chatzis
2013	J	`jnl`	Margin-maximizing classification of sequential data with infinitely-long temporal dependencies. Expert Syst. Appl. Sotirios P. Chatzis
2013	J	`jnl`	The Infinite-Order Conditional Random Field Model for Sequential Data Modeling. IEEE Trans. Pattern Anal. Mach. Intell. Sotirios P. Chatzis, Yiannis Demiris
2012	C	`conf`	A Coupled Indian Buffet Process Model for Collaborative Filtering. ACML Sotirios P. Chatzis
2012	J	`jnl`	A Mixture Gaussian Process Conditional Heteroscedasticity Model with Power-Law Nature CoRR Emmanouil A. Platanios, Sotirios P. Chatzis
2012	J	`jnl`	A Quantum-Statistical Approach Toward Robot Learning by Demonstration. IEEE Trans. Robotics Sotirios P. Chatzis, Dimitrios Korkinof, Yiannis Demiris
2012	—	`conf`	A Spatially-Constrained Normalized Gamma Process for Data Clustering. AIAI (1) Sotirios P. Chatzis, Dimitrios Korkinof, Yiannis Demiris
2012	J	`jnl`	A nonparametric Bayesian approach toward robot learning by demonstration. Robotics Auton. Syst. Sotirios P. Chatzis, Dimitrios Korkinof, Yiannis Demiris
2012	J	`jnl`	A possibilistic clustering approach toward generative mixture models. Pattern Recognit. Sotirios P. Chatzis, Gavrill Tsechpenakis
2012	J	`jnl`	A reservoir-driven non-stationary hidden Markov model. Pattern Recognit. Sotirios P. Chatzis, Yiannis Demiris
2012	J	`jnl`	A sparse nonparametric hierarchical Bayesian approach towards inductive transfer for preference modeling. Expert Syst. Appl. Sotirios P. Chatzis, Yiannis Demiris
2012	J	`jnl`	A spatially-constrained normalized Gamma process prior. Expert Syst. Appl. Sotirios P. Chatzis, Dimitrios Korkinof, Yiannis Demiris
2012	J	`jnl`	Nonparametric Mixtures of Gaussian Processes With Power-Law Behavior. IEEE Trans. Neural Networks Learn. Syst. Sotirios P. Chatzis, Yiannis Demiris
2012	J	`jnl`	The Kernel Pitman-Yor Process CoRR Sotirios P. Chatzis, Dimitrios Korkinof, Yiannis Demiris
2012	J	`jnl`	The copula echo state network. Pattern Recognit. Sotirios P. Chatzis, Yiannis Demiris
2012	J	`jnl`	The echo state conditional random field model for sequential data modeling. Expert Syst. Appl. Sotirios P. Chatzis, Yiannis Demiris
2012	J	`jnl`	Visual Workflow Recognition Using a Variational Bayesian Treatment of Multistream Fused Hidden Markov Models. IEEE Trans. Circuits Syst. Video Technol. Sotirios P. Chatzis, Dimitrios I. Kosmopoulos
2011	J	`jnl`	A fuzzy c-means-type algorithm for clustering of data with mixed numeric and categorical attributes employing a probabilistic dissimilarity functional. Expert Syst. Appl. Sotirios P. Chatzis
2011	J	`jnl`	Deformable probability maps: Probabilistic shape and appearance-based object segmentation. Comput. Vis. Image Underst. Gavrill Tsechpenakis, Sotirios P. Chatzis
2011	J	`jnl`	Echo State Gaussian Process. IEEE Trans. Neural Networks Sotirios P. Chatzis, Yiannis Demiris
2011	J	`jnl`	Numerical optimization using synergetic swarms of foraging bacterial populations. Expert Syst. Appl. Sotirios P. Chatzis, Spyros Koukas
2011	B	`conf`	The One-Hidden Layer Non-parametric Bayesian Kernel Machine. ICTAI Sotirios P. Chatzis, Dimitrios Korkinof, Yiannis Demiris
2010	J	`jnl`	Hidden Markov Models with Nonelliptically Contoured State Densities. IEEE Trans. Pattern Anal. Mach. Intell. Sotirios P. Chatzis
2010	J	`jnl`	Robust Visual Behavior Recognition. IEEE Signal Process. Mag. Dimitrios I. Kosmopoulos, Sotirios P. Chatzis
2010	J	`jnl`	The infinite hidden Markov random field model. IEEE Trans. Neural Networks Sotirios P. Chatzis, Gabriel Tsechpenakis
2010	—	`conf`	Which brainstem cells generate the respiration cycles? ISBI Allison W. Irvine, Sotirios P. Chatzis, Gavrill Tsechpenakis
2009	A*	`conf`	The infinite Hidden Markov random field model. ICCV Sotirios P. Chatzis, Gabriel Tsechpenakis