Progressive neural network training for the Open Racing Car Simulator. - Christos Athanasiadis; Damianos Galanopoulos; Anastasios Tefas (CIG, 2012)

Evolutionary Optimization of a Neural Network Controller for Car Racing Simulation. - Damianos Galanopoulos; Christos Athanasiadis; Anastasios Tefas (SETN, 2012)

Personalized, Affect and Performance-driven Computer-based Learning. - Christos Athanasiadis; Enrique Hortal; Dimitrios Koutsoukos; Carmen Zarco Lens; Stylianos Asteriadis (CSEDU (1), 2017)

Bridging face and sound modalities through domain adaptation metric learning. - Christos Athanasiadis; Enrique Hortal; Stylianos Asteriadis (ESANN, 2019)

Audio-Based Emotion Recognition Enhancement Through Progressive Gans. - Christos Athanasiadis; Enrique Hortal; Stylianos Asteriadis (ICIP, 2020)

e33Learning: A Dataset for Affect-Driven Adaptation of Computer-Based Learning. - Christos Athanasiadis; Matteo Amestoy; Enrique Hortal; Stylianos Asteriadis (IEEE Multim., 2020)

Audio-visual domain adaptation using conditional semi-supervised Generative Adversarial Networks. - Christos Athanasiadis; Enrique Hortal; Stylianos Asteriadis (Neurocomputing, 2020)

Temporal conditional Wasserstein GANs for audio-visual affect-related ties. - Christos Athanasiadis; Enrique Hortal; Stelios Asteriadis (ACII (Workshops and Demos), 2021)

SKDCGN: Source-free Knowledge Distillation of Counterfactual Generative Networks Using cGANs. - Sameer Ambekar; Matteo Tafuro; Ankit Ankit; Diego van der Mast; Mark Alence; Christos Athanasiadis (ECCV Workshops (4), 2022)

Reproducibility study of "LICO: Explainable Models with Language-Image Consistency". - Luan Fletcher; Robert van der Klis; Martin Sedlácek; Stefan Vasilev; Christos Athanasiadis (Trans. Mach. Learn. Res., 2024)