Indicative Recent Journal Publications

  • Kyriakos Tolias and Sotirios P. Chatzis, “t-Exponential Memory Networks for Question-Answering Machines,” IEEE Transactions on Neural Networks and Learning Systems, 2019.
  • Pavlos Nikolaidis, Sotirios Chatzis, and Andreas Poulikkas, “Optimal planning of electricity storage to minimize operating reserve requirements in an isolated island grid,” Energy Systems, 2019.
  • Sotirios P. Chatzis, Vasilis Siakoulis, Anastasios Petropoulos, Vangelis Stavroulakis, and Nikos Vlachogiannakis, “Forecasting stock market crisis events using deep and statistical machine learning techniques,” Expert Systems with Applications, vol. 112, pp. 353-371, Dec. 2018.
  • Sotirios P. Chatzis, "Latent Subspace Modeling of Sequential Data Under the Maximum Entropy Discrimination Framework," Neurocomputing, vol. 312, pp. 210-217, Oct. 2018.
  • Harris Partaourides and Sotirios P. Chatzis, “Deep Learning with t-Exponential Bayesian Kitchen Sinks,” Expert Systems with Applications, vol. 98, pp. 84-92, May 2018.

Indicative Recent Conference Publications

  • Konstantinos Panousis*, Sotirios Chatzis*, and Sergios Theodoridis, "Nonparametric Bayesian Local Winner-Takes-All Networks," Proc. 36th ICML, 2019.
  • Sotirios P. Chatzis, "Indian Buffet Process Deep Generative Models for Semi-Supervised Classification," Proc. 43rd IEEE ICASSP, 2018.
  • Savvas Zannettou, Sotirios Chatzis, Kostantinos Papadamou, Michael Sirivianos, "The good, the bad and the bait: Detecting and characterizing clickbait videos on YouTube," Proc. 39th IEEE Symposium on Security and Privacy, 2018.
  • Harris Partaourides* and Sotirios P. Chatzis*, “Deep Network Regularization via Bayesian Inference of Synaptic Connectivity,” J. Kim et al. (Eds.): PAKDD 2017, Part I, LNAI 10234, pp. 30–41, 2017. (Long presentation paper; acceptance rate=9.8%)
  • Sotirios P. Chatzis, Dimitrios Kosmopoulos, “A Nonparametric Bayesian Approach Toward Stacked Convolutional Independent Component Analysis,” Proc. 15th IEEE ICCV, 2015.