Sotirios Chatzis
Sotirios Chatzis
Other namesSotirios P. Chatzis
Associate Professor @ Cyprus University of Technology
Verified email at - Homepage
Cited by
Cited by
Forecasting stock market crisis events using deep and statistical machine learning techniques
SP Chatzis, V Siakoulis, A Petropoulos, E Stavroulakis, ...
Expert systems with applications 112, 353-371, 2018
A fuzzy clustering approach toward hidden Markov random field models for enhanced spatially constrained image segmentation
SP Chatzis, TA Varvarigou
IEEE Transactions on Fuzzy Systems 16 (5), 1351-1361, 2008
Robust sequential data modeling using an outlier tolerant hidden Markov model
SP Chatzis, DI Kosmopoulos, TA Varvarigou
IEEE transactions on pattern analysis and machine intelligence 31 (9), 1657-1669, 2008
Echo state Gaussian process
SP Chatzis, Y Demiris
IEEE Transactions on Neural Networks 22 (9), 1435-1445, 2011
A fuzzy c-means-type algorithm for clustering of data with mixed numeric and categorical attributes employing a probabilistic dissimilarity functional
SP Chatzis
Expert systems with applications 38 (7), 8684-8689, 2011
Behavioral biometrics & continuous user authentication on mobile devices: A survey
I Stylios, S Kokolakis, O Thanou, S Chatzis
Information Fusion 66, 76-99, 2021
The infinite hidden Markov random field model
SP Chatzis, G Tsechpenakis
IEEE Transactions on Neural Networks 21 (6), 1004-1014, 2010
The good, the bad and the bait: Detecting and characterizing clickbait on youtube
S Zannettou, S Chatzis, K Papadamou, M Sirivianos
2018 IEEE Security and Privacy Workshops (SPW), 63-69, 2018
Rethinking Bayesian learning for data analysis: The art of prior and inference in sparsity-aware modeling
L Cheng, F Yin, S Theodoridis, S Chatzis, TH Chang
IEEE Signal Processing Magazine 39 (6), 18-52, 2022
A novel corporate credit rating system based on Student’st hidden Markov models
A Petropoulos, SP Chatzis, S Xanthopoulos
Expert Systems with Applications 53, 87-105, 2016
A variational Bayesian methodology for hidden Markov models utilizing Student's-t mixtures
SP Chatzis, DI Kosmopoulos
Pattern Recognition 44 (2), 295-306, 2011
Leveraging statistical machine learning to address failure localization in optical networks
T Panayiotou, SP Chatzis, G Ellinas
Journal of Optical Communications and Networking 10 (3), 162-173, 2018
Performance analysis of a data-driven quality-of-transmission decision approach on a dynamic multicast-capable metro optical network
T Panayiotou, SP Chatzis, G Ellinas
Journal of Optical Communications and Networking 9 (1), 98-108, 2017
Robust visual behavior recognition
D Kosmopoulos, SP Chatzis
IEEE Signal Processing Magazine 27 (5), 34-45, 2010
A stacked generalization system for automated FOREX portfolio trading
A Petropoulos, SP Chatzis, V Siakoulis, N Vlachogiannakis
Expert systems with applications 90, 290-302, 2017
Signal Modeling and Classification Using a Robust Latent Space Model Based on Distributions
SP Chatzis, DI Kosmopoulos, TA Varvarigou
IEEE Transactions on Signal Processing 56 (3), 949-963, 2008
A data-driven bandwidth allocation framework with QoS considerations for EONs
T Panayiotou, K Manousakis, SP Chatzis, G Ellinas
Journal of Lightwave Technology 37 (9), 1853-1864, 2019
Factor Analysis Latent Subspace Modeling and Robust Fuzzy Clustering Using -Distributions
S Chatzis, T Varvarigou
IEEE Transactions on Fuzzy Systems 17 (3), 505-517, 2008
A nonparametric Bayesian approach toward robot learning by demonstration
SP Chatzis, D Korkinof, Y Demiris
Robotics and Autonomous Systems 60 (6), 789-802, 2012
Recurrent latent variable networks for session-based recommendation
SP Chatzis, P Christodoulou, AS Andreou
Proceedings of the 2nd workshop on deep learning for recommender systems, 38-45, 2017
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