ElectroMagnetic EncephaloGraphy Software: Overview and Integration with Other EEG/MEG Toolboxes. - Peter Peyk; Andrea De Cesarei; Markus Junghöfer (Comput. Intell. Neurosci., 2011)

Doing online research involving university students with disabilities: Methodological issues. - Andrea De Cesarei; Bruno Baldaro (Comput. Hum. Behav., 2015)

Can the Outputs of LGN Y-Cells Support Emotion Recognition? A Computational Study. - Andrea De Cesarei; Maurizio Codispoti (Comput. Intell. Neurosci., 2015)

Categorization Goals Modulate the Use of Natural Scene Statistics. - Andrea De Cesarei; Shari Cavicchi; Antonia Micucci; Maurizio Codispoti (J. Cogn. Neurosci., 2019)

Contextual Modulation of Emotional Distraction: Attentional Capture and Motivational Significance. - Antonia Micucci; Vera Ferrari; Andrea De Cesarei; Maurizio Codispoti (J. Cogn. Neurosci., 2020)

Do Humans and Deep Convolutional Neural Networks Use Visual Information Similarly for the Categorization of Natural Scenes? - Andrea De Cesarei; Shari Cavicchi; Giampaolo Cristadoro; Marco Lippi 001 (Cogn. Sci., 2021)

Examining the Nexus between Explainability of AI Systems and User's Trust: A Preliminary Scoping Review. - Sofia Morandini; Federico Fraboni; Gabriele Puzzo; Davide Giusino; Lucia Volpi; Hannah Brendel; Enzo Balatti; Marco de Angelis 001; Andrea De Cesarei; Luca Pietrantoni (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2023)

Trustworthiness of AI in Planning and Scheduling: The Experience of the TUPLES Project. - Angelo Gordini; Matteo Pozzi; Michele Lombardi 001; Thomas Sergeys; Tias Guns; Andrea De Cesarei; Sofia Morandini; Sylvie Thiébaux (DSA ISC (2), 2024)