Sotirios Chatzis

According to our database1, Sotirios Chatzis authored at least 76 papers between 2006 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
Latent subspace modeling of sequential data under the maximum entropy discrimination framework.
Neurocomputing, 2018

Deep learning with t-exponential Bayesian kitchen sinks.
Expert Syst. Appl., 2018

Forecasting stock market crisis events using deep and statistical machine learning techniques.
Expert Syst. Appl., 2018

The Good, the Bad and the Bait: Detecting and Characterizing Clickbait on YouTube.
Proceedings of the 2018 IEEE Security and Privacy Workshops, 2018

On learning bandwidth allocation models for time-varying traffic in flexible optical networks.
Proceedings of the 2018 International Conference on Optical Network Design and Modeling, 2018

Charging Policies for PREYs used for Service Delivery: A Reinforcement Learning Approach.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

A Recurrent Latent Variable Model for Supervised Modeling of High-Dimensional Sequential Data.
Proceedings of the 2018 Innovations in Intelligent Systems and Applications, 2018

Indian Buffet Process Deep Generative Models for Semi-Supervised Classification.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
A hidden Markov model with dependence jumps for predictive modeling of multidimensional time-series.
Inf. Sci., 2017

Asymmetric deep generative models.
Neurocomputing, 2017

A stacked generalization system for automated FOREX portfolio trading.
Expert Syst. Appl., 2017

Recurrent Latent Variable Networks for Session-Based Recommendation.
Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, 2017

Deep Network Regularization via Bayesian Inference of Synaptic Connectivity.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Deep Bayesian Matrix Factorization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

A probabilistic approach for failure localization.
Proceedings of the 2017 International Conference on Optical Network Design and Modeling, 2017

A Variational Recurrent Neural Network for Session-Based Recommendations using Bayesian Personalized Ranking.
Proceedings of the Information Systems Development: Advances in Methods, Tools and Management, 2017

Recurrent latent variable conditional heteroscedasticity.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Software defect prediction using doubly stochastic Poisson processes driven by stochastic belief networks.
Journal of Systems and Software, 2016

Maximum entropy discrimination factor analyzers.
Neurocomputing, 2016

A novel corporate credit rating system based on Student's-t hidden Markov models.
Expert Syst. Appl., 2016

A data-driven QoT decision approach for multicast connections in metro optical networks.
Proceedings of the 2016 International Conference on Optical Network Design and Modeling, 2016

Users' Attitudes on Mobile Devices: Can Users' Practices Protect their Sensitive Data?
Proceedings of the 10th Mediterranean Conference on Information Systems, 2016

2015
A Latent Manifold Markovian Dynamics Gaussian Process.
IEEE Trans. Neural Netw. Learning Syst., 2015

Maximum Entropy Discrimination Poisson Regression for Software Reliability Modeling.
IEEE Trans. Neural Netw. Learning Syst., 2015

Sparse Bayesian Recurrent Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

A Nonparametric Bayesian Approach toward Stacked Convolutional Independent Component Analysis.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Inducing Space Dirichlet Process Mixture Large-Margin Entity RelationshipInference in Knowledge Bases.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Gaussian Process-Mixture Conditional Heteroscedasticity.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Developing Public Transport Network systems: The DIANA approach.
Proceedings of the 18th Panhellenic Conference on Informatics, 2014

A Nonstationary Hidden Markov Model with Approximately Infinitely-Long Time-Dependencies.
Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014

A Partially-Observable Markov Decision Process for Dealing with Dynamically Changing Environments.
Proceedings of the Artificial Intelligence Applications and Innovations, 2014

A Non-stationary Infinite Partially-Observable Markov Decision Process.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

Echo-State Conditional Restricted Boltzmann Machines.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Dynamic Bayesian Probabilistic Matrix Factorization.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
A conditional random field-based model for joint sequence segmentation and classification.
Pattern Recognition, 2013

A Markov random field-regulated Pitman-Yor process prior for spatially constrained data clustering.
Pattern Recognition, 2013

The Infinite-Order Conditional Random Field Model for Sequential Data Modeling.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

A latent variable Gaussian process model with Pitman-Yor process priors for multiclass classification.
Neurocomputing, 2013

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., 2013

Margin-maximizing classification of sequential data with infinitely-long temporal dependencies.
Expert Syst. Appl., 2013

Infinite Markov-Switching Maximum Entropy Discrimination Machines.
Proceedings of the 30th International Conference on Machine Learning, 2013

Nonparametric bayesian multitask collaborative filtering.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
A Quantum-Statistical Approach Toward Robot Learning by Demonstration.
IEEE Trans. Robotics, 2012

Nonparametric Mixtures of Gaussian Processes With Power-Law Behavior.
IEEE Trans. Neural Netw. Learning Syst., 2012

Visual Workflow Recognition Using a Variational Bayesian Treatment of Multistream Fused Hidden Markov Models.
IEEE Trans. Circuits Syst. Video Techn., 2012

A nonparametric Bayesian approach toward robot learning by demonstration.
Robotics and Autonomous Systems, 2012

A possibilistic clustering approach toward generative mixture models.
Pattern Recognition, 2012

A reservoir-driven non-stationary hidden Markov model.
Pattern Recognition, 2012

The copula echo state network.
Pattern Recognition, 2012

A Coupled Indian Buffet Process Model for Collaborative Filtering.
Proceedings of the 4th Asian Conference on Machine Learning, 2012

A spatially-constrained normalized Gamma process prior.
Expert Syst. Appl., 2012

The echo state conditional random field model for sequential data modeling.
Expert Syst. Appl., 2012

A sparse nonparametric hierarchical Bayesian approach towards inductive transfer for preference modeling.
Expert Syst. Appl., 2012

A Spatially-Constrained Normalized Gamma Process for Data Clustering.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012

2011
Echo State Gaussian Process.
IEEE Trans. Neural Networks, 2011

A variational Bayesian methodology for hidden Markov models utilizing Student's-t mixtures.
Pattern Recognition, 2011

Numerical optimization using synergetic swarms of foraging bacterial populations.
Expert Syst. Appl., 2011

A fuzzy c-means-type algorithm for clustering of data with mixed numeric and categorical attributes employing a probabilistic dissimilarity functional.
Expert Syst. Appl., 2011

Deformable probability maps: Probabilistic shape and appearance-based object segmentation.
Computer Vision and Image Understanding, 2011

The One-Hidden Layer Non-parametric Bayesian Kernel Machine.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

2010
Robust Visual Behavior Recognition.
IEEE Signal Process. Mag., 2010

Hidden Markov Models with Nonelliptically Contoured State Densities.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

A method for training finite mixture models under a fuzzy clustering principle.
Fuzzy Sets and Systems, 2010

Which brainstem cells generate the respiration cycles?
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
Factor Analysis Latent Subspace Modeling and Robust Fuzzy Clustering Using t -Distributions.
IEEE Trans. Fuzzy Systems, 2009

Vision-based production of personalized video.
Sig. Proc.: Image Comm., 2009

Robust Sequential Data Modeling Using an Outlier Tolerant Hidden Markov Model.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

The infinite Hidden Markov random field model.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008
Signal Modeling and Classification Using a Robust Latent Space Model Based on t Distributions.
IEEE Trans. Signal Processing, 2008

A Fuzzy Clustering Approach Toward Hidden Markov Random Field Models for Enhanced Spatially Constrained Image Segmentation.
IEEE Trans. Fuzzy Systems, 2008

Robust fuzzy clustering using mixtures of Student's-t distributions.
Pattern Recognition Letters, 2008

Managing service level agreement contracts in OGSA-based Grids.
Future Generation Comp. Syst., 2008

A robust approach towards sequential data modeling and its application in automatic gesture recognition.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
A content-based image retrieval scheme allowing for robust automatic personalization.
Proceedings of the 6th ACM International Conference on Image and Video Retrieval, 2007

2006
Video Representation and Retrieval Using Spatio-temporal Descriptors and Region Relations.
Proceedings of the Artificial Neural Networks, 2006

A Cross Media Platform for Personalized Leisure & Entertainment: The POLYMNIA Approach.
Proceedings of the Second International Conference on Automated Production of Cross Media Content for Multi-Channel Distribution, 2006


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