Archivio Istituzionale della RicercaDE SANTIS, FRANCESCO
DE SANTIS, FRANCESCO
Dipartimento di Automatica e Informatica
099474
Causally Reliable Concept Bottleneck Models
In corso di stampa De Felice, Giovanni; Casanova Flores, Arianna; De Santis, Francesco; Santini, Silvia; Schneider, Johannes; Barbiero, Pietro; Termine, Alberto
Towards Better Generalization and Interpretability in Unsupervised Concept-Based Models
2026 De Santis, Francesco; Bich, Philippe; Ciravegna, Gabriele; Barbiero, Pietro; Cerquitelli &, Tania; Giordano, Danilo
V-CEM: Bridging Performance and Intervenability in Concept-Based Models
2026 De Santis, Francesco; Ciravegna, Gabriele; Bich, Philippe; Giordano, Danilo; Cerquitelli, Tania
CFA-Bench: Cybersecurity Forensic Llm Agent Benchmark and Testing
2025 De Santis, Francesco; Huang, Kai; Valentim, Rodolfo; Giordano, Danilo; Mellia, Marco; Houidi, Zied Ben; Rossi, Dario
Linearly-interpretable concept embedding models for text analysis
2025 De Santis, Francesco; Bich, Philippe; Ciravegna, Gabriele; Barbiero, Pietro; Giordano, Danilo; Cerquitelli, Tania
GLEm-Net: Unified Framework for Data Reduction with Categorical and Numerical Features
2023 DE SANTIS, Francesco; Giordano, Danilo; Mellia, Marco; Damilano, Alessia
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Causally Reliable Concept Bottleneck Models / De Felice, Giovanni; Casanova Flores, Arianna; De Santis, Francesco; Santini, Silvia; Schneider, Johannes; Barbiero, Pietro; Termine, Alberto. - (In corso di stampa). ( Advances in Neural Information Processing Systems). | In corso di stampa | francesco de santisSilvia Santini + | 2503.04363v3.pdf |
| Towards Better Generalization and Interpretability in Unsupervised Concept-Based Models / De Santis, Francesco; Bich, Philippe; Ciravegna, Gabriele; Barbiero, Pietro; Cerquitelli &, Tania; Giordano, Danilo. - 16015:(2026), pp. 478-494. ( European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) Porto (PRT) September 15–19, 2025) [10.1007/978-3-032-06066-2_28]. | 1-gen-2026 | Francesco De SantisPhilippe BichGabriele CiravegnaDanilo Giordano + | 978-3-032-06066-2_28.pdf; _ECML25__Learnable_Concept_Based_Model.pdf |
| V-CEM: Bridging Performance and Intervenability in Concept-Based Models / De Santis, Francesco; Ciravegna, Gabriele; Bich, Philippe; Giordano, Danilo; Cerquitelli, Tania. - 2576:(2026), pp. 48-67. ( 3rd World Conference on Explainable Artificial Intelligence, xAI 2025 Istanbul (TUR) July 9–11, 2025) [10.1007/978-3-032-08317-3_3]. | 1-gen-2026 | Francesco De SantisGabriele CiravegnaPhilippe BichDanilo GiordanoTania Cerquitelli | 978-3-032-08317-3_3.pdf |
| CFA-Bench: Cybersecurity Forensic Llm Agent Benchmark and Testing / De Santis, Francesco; Huang, Kai; Valentim, Rodolfo; Giordano, Danilo; Mellia, Marco; Houidi, Zied Ben; Rossi, Dario. - (2025), pp. 217-225. ( 2025 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) Venice (ITA) 30 June - 04 July 2025) [10.1109/eurospw67616.2025.00031]. | 1-gen-2025 | De Santis, FrancescoHuang, KaiValentim, RodolfoGiordano, DaniloMellia, MarcoRossi, Dario + | CFA-Bench_Cybersecurity_Forensic_Llm_Agent_Benchmark_and_Testing.pdf; CFABench_Agent_Foresics.pdf |
| Linearly-interpretable concept embedding models for text analysis / De Santis, Francesco; Bich, Philippe; Ciravegna, Gabriele; Barbiero, Pietro; Giordano, Danilo; Cerquitelli, Tania. - In: MACHINE LEARNING. - ISSN 0885-6125. - ELETTRONICO. - 114:10(2025). [10.1007/s10994-025-06839-5] | 1-gen-2025 | De Santis, FrancescoBich, PhilippeCiravegna, GabrieleGiordano, DaniloCerquitelli, Tania + | s10994-025-06839-5.pdf |
| GLEm-Net: Unified Framework for Data Reduction with Categorical and Numerical Features / DE SANTIS, Francesco; Giordano, Danilo; Mellia, Marco; Damilano, Alessia. - ELETTRONICO. - (2023), pp. 4240-4247. ( 2023 IEEE International Conference on Big Data (Big Data) Sorrento, Italy 15-18 December 2023) [10.1109/BigData59044.2023.10386901]. | 1-gen-2023 | Francesco De SantisDanilo GiordanoMarco MelliaAlessia Damilano | Desantis_Bigdata.pdf; GLEm-Net_Unified_Framework_for_Data_Reduction_with_Categorical_and_Numerical_Features.pdf |