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 | 308 | 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 | 252 | 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 | 131 | 2008 |
Echo state Gaussian process SP Chatzis, Y Demiris IEEE Transactions on Neural Networks 22 (9), 1435-1445, 2011 | 124 | 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 | 113 | 2011 |
The infinite hidden Markov random field model SP Chatzis, G Tsechpenakis IEEE Transactions on Neural Networks 21 (6), 1004-1014, 2010 | 97 | 2010 |
Behavioral biometrics & continuous user authentication on mobile devices: A survey I Stylios, S Kokolakis, O Thanou, S Chatzis Information Fusion 66, 76-99, 2021 | 96 | 2021 |
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 | 91 | 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 | 82 | 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 | 79 | 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 | 72 | 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 | 68 | 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 | 64 | 2017 |
Robust visual behavior recognition D Kosmopoulos, SP Chatzis IEEE Signal Processing Magazine 27 (5), 34-45, 2010 | 62 | 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 | 57 | 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 | 54 | 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 | 51 | 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 | 47 | 2008 |
Stochastic transformer networks with linear competing units: Application to end-to-end sl translation A Voskou, KP Panousis, D Kosmopoulos, DN Metaxas, S Chatzis Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 43 | 2021 |
Nonparametric Bayesian deep networks with local competition K Panousis, S Chatzis, S Theodoridis International Conference on Machine Learning, 4980-4988, 2019 | 42 | 2019 |