Anomaly Detection from Log Files Using Unsupervised Deep Learning. - Sathya Bursic; Vittorio Cuculo; Alessandro D'Amelio (FM Workshops (1), 2019)

Gender Recognition in the Wild with Small Sample Size - A Dictionary Learning Approach. - Alessandro D'Amelio; Vittorio Cuculo; Sathya Bursic (FM Workshops (1), 2019)

A Quantitative Evaluation Framework of Video De-Identification Methods. - Sathya Bursic; Alessandro D'Amelio; Marco Granato; Giuliano Grossi; Raffaella Lanzarotti (ICPR, 2020)

Yes, Echo-Chambers Mislead You Too: A Game-Based Educational Experience to Reveal the Impact of Social Media Personalization Algorithms. - Francesco Lomonaco; Davide Taibi 002; Vito Trianni; Sathya Bursic; Gregor Donabauer; Dimitri Ognibene (HELMeTO, 2022)

DeepFakes Have No Heart: A Simple rPPG-Based Method to Reveal Fake Videos. - Giuseppe Boccignone; Sathya Bursic; Vittorio Cuculo; Alessandro D'Amelio; Giuliano Grossi; Raffaella Lanzarotti; Sabrina Patania (ICIAP (2), 2022)

Deep graph neural network for video-based facial pain expression assessment. - Sabrina Patania; Giuseppe Boccignone; Sathya Bursic; Alessandro D'Amelio; Raffaella Lanzarotti (SAC, 2022)

Challenging social media threats using collective well-being-aware recommendation algorithms and an educational virtual companion. - Dimitri Ognibene; Rodrigo Souza Wilkens; Davide Taibi 002; Davinia Hernández-Leo; Udo Kruschwitz; Gregor Donabauer; Emily Theophilou; Francesco Lomonaco; Sathya Bursic; René Lobo; J. Roberto Sánchez Reina; Lidia Scifo; et al. (Frontiers Artif. Intell., 2022)

Learning to Prompt in the Classroom to Understand AI Limits: A Pilot Study. - Emily Theophilou; Cansu Koyuturk; Mona Yavari; Sathya Bursic; Gregor Donabauer; Alessia Telari; Alessia Testa; Raffaele Boiano; Davinia Hernández Leo; Martin Ruskov; Davide Taibi 002; Alessandro Gabbiadini; et al. (AI*IA, 2023)

Developing Effective Educational Chatbots with ChatGPT prompts: Insights from Preliminary Tests in a Case Study on Social Media Literacy. - Cansu Koyuturk; Mona Yavari; Emily Theophilou; Sathya Bursic; Gregor Donabauer; Alessia Telari; Alessia Testa; Raffaele Boiano; Alessandro Gabbiadini; Davinia Hernández-Leo; Martin Ruskov; Dimitri Ognibene (ICCE, 2023)

Exploration and Comparison of Deep Learning Architectures to Predict Brain Response to Realistic Pictures. - Riccardo Chimisso; Sathya Bursic; Paolo Marocco; Giuseppe Vizzari; Dimitri Ognibene (CoRR, 2023)

Using Gaze for Behavioural Biometrics. - Alessandro D'Amelio; Sabrina Patania; Sathya Bursic; Vittorio Cuculo; Giuseppe Boccignone (Sensors, 2023)

Moving Beyond Benchmarks and Competitions: Towards Addressing Social Media Challenges in an Educational Context. - Dimitri Ognibene; Gregor Donabauer; Emily Theophilou; Sathya Bursic; Francesco Lomonaco; Rodrigo Wilkens; Davinia Hernández-Leo; Udo Kruschwitz (Datenbank-Spektrum, 2023)

Inferring Causal Factors of Core Affect Dynamics on Social Participation through the Lens of the Observer. - Alessandro D'Amelio; Sabrina Patania; Sathya Bursic; Vittorio Cuculo; Giuseppe Boccignone (Sensors, 2023)

In Search of Compositional Multi-Task Deep Architectures for Information Theoretic Field Exploration. - Emanuele Masiero; Sathya Bursic; Vito Trianni; Giuseppe Vizzari; Dimitri Ognibene (CASE, 2024)

Understanding Learner-LLM Chatbot Interactions and the Impact of Prompting Guidelines. - Cansu Koyuturk; Emily Theophilou; Sabrina Patania; Gregor Donabauer; Andrea Martinenghi; Chiara Antico; Alessia Telari; Alessia Testa; Sathya Bursic; Franca Garzotto; Davinia Hernández Leo; Udo Kruschwitz; et al. (AIED (2), 2025)

Use Me Wisely: AI-Driven Assessment for LLM Prompting Skills Development. - Dimitri Ognibene; Gregor Donabauer; Emily Theophilou; Cansu Koyuturk; Mona Yavari; Sathya Bursic; Alessia Telari; Alessia Testa; Raffaele Boiano; Davide Taibi 002; Davinia Hernández Leo; Udo Kruschwitz; et al. (CoRR, 2025)