Sfoglia per Autore
Editorial: Explainable artificial intelligence models and methods in finance and healthcare
2022-01-01 Caffo, Brian S; D'Asaro, Fabio A; Garcez, Artur; Raffinetti, Emanuela
Using Inductive Logic Programming to globally approximate Neural Networks for preference learning: challenges and preliminary results
2022-01-01 Fossemò, Daniele; Mignosi, Filippo; Raggioli, Luca; Spezialetti, Matteo; D'Asaro, Fabio Aurelio
An Application of a Runtime Epistemic Probabilistic Event Calculus to Decision-making in e-Health Systems
2022-01-01 D'Asaro, Fabio Aurelio; Luca, Raggioli; Salim, Malek; Marco, Grazioso; Silvia, Rossi
Proof-checking Bias in Labeling Methods
2022-01-01 Primiero, G.; D'Asaro, F. A.
Dissemination Corner: BRIO (2023)
2023-01-01 D'Asaro, Fabio Aurelio
BRIOxAlkemy: A Bias detecting tool
2023-01-01 Coraglia, Greta; D'Asaro, Fabio Aurelio; Genco, Francesco; Giannuzzi, Davide; Posillipo, Davide; Primiero, Giuseppe; Quaggio, Christian
Proceedings of the 2nd Workshop on Bias, Ethical AI, Explainability and the role of Logic and Logic Programming
2023-01-01 Boella, Guido; D'Asaro, Fabio Aurelio; Dyoub, Abeer; Gorrieri, Laura; Lisi, Francesca A.; Manganini, Chiara; Primiero, Giuseppe
How do decision support systems nudge?
2023-01-01 Pedrazzoli, Francesco; D'Asaro, Fabio Aurelio; Badino, Massimiliano
Advancing the Boundaries of Formal Argumentation: Reflections on the AI3 2021 Special Issue
2023-01-01 D'Agostino, M; D’Asaro, F. A.; Larese, C.
Deep Reinforcement Learning for Robotic Approaching Behavior Influenced by User Activity and Disengagement
2023-01-01 Raggioli, L.; D'Asaro, F. A.; Rossi, S.
An Answer Set Programming-based Implementation of Epistemic Probabilistic Event Calculus
2023-01-01 D'Asaro, Fabio Aurelio; Bikakis, Antonis; Dickens, Luke; Miller, Rob
Educare all'IA. La sfida didattica dell'Intelligenza Artificiale: ChatGPT e Gemini
2024-01-01 Badino, Massimiliano; D'Asaro, Fabio Aurelio; Pedrazzoli, Francesco
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Editorial: Explainable artificial intelligence models and methods in finance and healthcare | 1-gen-2022 | Caffo, Brian S; D'Asaro, Fabio A; Garcez, Artur; Raffinetti, Emanuela | |
Using Inductive Logic Programming to globally approximate Neural Networks for preference learning: challenges and preliminary results | 1-gen-2022 | Fossemò, Daniele; Mignosi, Filippo; Raggioli, Luca; Spezialetti, Matteo; D'Asaro, Fabio Aurelio | |
An Application of a Runtime Epistemic Probabilistic Event Calculus to Decision-making in e-Health Systems | 1-gen-2022 | D'Asaro, Fabio Aurelio; Luca, Raggioli; Salim, Malek; Marco, Grazioso; Silvia, Rossi | |
Proof-checking Bias in Labeling Methods | 1-gen-2022 | Primiero, G.; D'Asaro, F. A. | |
Dissemination Corner: BRIO (2023) | 1-gen-2023 | D'Asaro, Fabio Aurelio | |
BRIOxAlkemy: A Bias detecting tool | 1-gen-2023 | Coraglia, Greta; D'Asaro, Fabio Aurelio; Genco, Francesco; Giannuzzi, Davide; Posillipo, Davide; Primiero, Giuseppe; Quaggio, Christian | |
Proceedings of the 2nd Workshop on Bias, Ethical AI, Explainability and the role of Logic and Logic Programming | 1-gen-2023 | Boella, Guido; D'Asaro, Fabio Aurelio; Dyoub, Abeer; Gorrieri, Laura; Lisi, Francesca A.; Manganini, Chiara; Primiero, Giuseppe | |
How do decision support systems nudge? | 1-gen-2023 | Pedrazzoli, Francesco; D'Asaro, Fabio Aurelio; Badino, Massimiliano | |
Advancing the Boundaries of Formal Argumentation: Reflections on the AI3 2021 Special Issue | 1-gen-2023 | D'Agostino, M; D’Asaro, F. A.; Larese, C. | |
Deep Reinforcement Learning for Robotic Approaching Behavior Influenced by User Activity and Disengagement | 1-gen-2023 | Raggioli, L.; D'Asaro, F. A.; Rossi, S. | |
An Answer Set Programming-based Implementation of Epistemic Probabilistic Event Calculus | 1-gen-2023 | D'Asaro, Fabio Aurelio; Bikakis, Antonis; Dickens, Luke; Miller, Rob | |
Educare all'IA. La sfida didattica dell'Intelligenza Artificiale: ChatGPT e Gemini | 1-gen-2024 | Badino, Massimiliano; D'Asaro, Fabio Aurelio; Pedrazzoli, Francesco |
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