SHARCS: Shared Concept Space for Explainable Multimodal Learning. - Gabriele Dominici; Pietro Barbiero; Lucie Charlotte Magister; Pietro Liò; Nikola Simidjievski (CoRR, 2023)

Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning. - Dario Fenoglio; Gabriele Dominici; Pietro Barbiero; Alberto Tonda; Martin Gjoreski; Marc Langheinrich (NeurIPS, 2024)

AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model. - Gabriele Dominici; Pietro Barbiero; Francesco Giannini; Martin Gjoreski; Marc Langheinrich (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2024)

Climbing the Ladder of Interpretability with Counterfactual Concept Bottleneck Models. - Gabriele Dominici; Pietro Barbiero; Francesco Giannini; Martin Gjoreski; Giuseppe Marra; Marc Langheinrich (CoRR, 2024)

Causal Concept Embedding Models: Beyond Causal Opacity in Deep Learning. - Gabriele Dominici; Pietro Barbiero; Mateo Espinosa Zarlenga; Alberto Termine; Martin Gjoreski; Giuseppe Marra; Marc Langheinrich (CoRR, 2024)

DC3DO: Diffusion Classifier for 3D Objects. - Nursena Köprücü; Meher Shashwat Nigam; Shicheng Xu; Biruk Abere; Gabriele Dominici; Andrew Rodriguez; Sharvaree Vadgam; Berfin Inal; Alberto Tono (CoRR, 2024)

Evaluating Explanations Through LLMs: Beyond Traditional User Studies. - Francesco Bombassei De Bona; Gabriele Dominici; Tim Miller 001; Marc Langheinrich; Martin Gjoreski (CoRR, 2024)

Counterfactual Concept Bottleneck Models. - Gabriele Dominici; Pietro Barbiero; Francesco Giannini; Martin Gjoreski; Giuseppe Marra; Marc Langheinrich (ICLR, 2025)

Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning. - Gabriele Dominici; Pietro Barbiero; Mateo Espinosa Zarlenga; Alberto Termine; Martin Gjoreski; Giuseppe Marra; Marc Langheinrich (ICLR, 2025)

Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts. - Andrea Pugnana; Riccardo Massidda; Francesco Giannini; Pietro Barbiero; Mateo Espinosa Zarlenga; Roberto Pellungrini; Gabriele Dominici; Fosca Giannotti; Davide Bacciu (CoRR, 2025)

Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts. - Mateo Espinosa Zarlenga; Gabriele Dominici; Pietro Barbiero; Zohreh Shams; Mateja Jamnik (CoRR, 2025)

Interpretable Hierarchical Concept Reasoning through Attention-Guided Graph Learning. - David Debot; Pietro Barbiero; Gabriele Dominici; Giuseppe Marra (CoRR, 2025)

Is General-Purpose AI Reasoning Sensitive to Data-Induced Cognitive Biases? Dynamic Benchmarking on Typical Software Engineering Dilemmas. - Francesco Sovrano; Gabriele Dominici; Rita Sevastjanova; Alessandra Stramiglio; Alberto Bacchelli (CoRR, 2025)