Computational Analysis of Robustness in Neural Network Classifiers. - Iveta Becková; Stefan Pócos; Igor Farkas (ICANN (1), 2020)

Assessment of Manifold Unfolding in Trained Deep Neural Network Classifiers. - Stefan Pócos; Iveta Becková; Tomás Kuzma; Igor Farkas (TAILOR, 2020)

Examining the Proximity of Adversarial Examples to Class Manifolds in Deep Networks. - Stefan Pócos; Iveta Becková; Igor Farkas (ICANN (4), 2022)

State space reconstruction techniques and the accuracy of prediction. - Anna Krakovská; Stefan Pócos; Karolína Mojzisová; Iveta Becková; Jakub Xaver Gubás (Commun. Nonlinear Sci. Numer. Simul., 2022)

RecViT: Enhancing Vision Transformer with Top-Down Information Flow. - Stefan Pócos; Iveta Becková; Igor Farkas (VISIGRAPP (3): VISAPP, 2024)

A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation. - Iveta Becková; Stefan Pócos; Giulia Belgiovine; Marco Matarese; Alessandra Sciutti; Carlo Mazzola (CoRR, 2024)

A multi-modal explainability approach for human-aware robots in multi-party conversation. - Iveta Becková; Stefan Pócos; Giulia Belgiovine; Marco Matarese; Omar Eldardeer; Alessandra Sciutti; Carlo Mazzola (Comput. Vis. Image Underst., 2025)