D'Asaro, Fabio Aurelio
D'Asaro, Fabio Aurelio
DIPARTIMENTO DI SCIENZE UMANE
A fuzzy methodology to alleviate information overload in eLearning
2013-01-01 D(')Asaro, F. A.; Perticone, V.; Tabacchi, M. E.
Administrating Cognitive Tests Through HRI: An Application of an Automatic Scoring System Through Visual Analysis
2020-01-01 Sangiovanni, Sara; Spezialetti, Matteo; D’Asaro, Fabio Aurelio; Maggi, Gianpaolo; Rossi, Silvia
Agents displacement in arbitrary geometrical spaces: An evolutionary computation based approach
2015-01-01 D(')Aleo, F.; D(')Asaro, F. A.; Perticone, V.; Rizzo, G.; Tabacchi, M. E.
BRIOxAlkemy: A Bias detecting tool
2023-01-01 Coraglia, Greta; D'Asaro, Fabio Aurelio; Genco, Francesco; Giannuzzi, Davide; Posillipo, Davide; Primiero, Giuseppe; Quaggio, Christian
Foundations for a probabilistic event calculus
2017-01-01 D?asaro, F. A.; Bikakis, A.; Dickens, L.; Miller, R.
Introducing k-lingo: a k-depth Bounded Version of ASP System Clingo
2021-01-01 D'Asaro, Fabio Aurelio; Baldi, Paolo; Primiero, Giuseppe
Modelling Accuracy and Trustworthiness of Explaining Agents
2021-01-01 Termine, Alberto; Primiero, Giuseppe; D’Asaro, Fabio Aurelio
Predicting humans: A sensor-based architecture for real time Intent Recognition using Problog
2021-01-01 Acciaro, G. D.; D(')Asaro, F. A.; Rossi, S.
Probabilistic typed natural deduction for trustworthy computations
2021-01-01 D(')Asaro, F. A.; Primiero, G.
Proof-checking Bias in Labeling Methods
2022-01-01 Primiero, G.; D'Asaro, F. A.
Technology and human sciences: A dialogue to be constructed or a common tread to be rediscovered?
2013-01-01 D(')Asaro, F. A.; Perticone, V.; Tabacchi, M. E.; Termini, S.
Towards a logic-based approach for multi-modal fusion and decision making during motor rehabilitation sessions
2019-01-01 D?asaro, F. A.; Origlia, A.; Rossi, S.
Towards an Inductive Logic Programming Approach for Explaining Black-Box Preference Learning Systems
2020-01-01 D'Asaro, Fabio A.; Spezialetti, Matteo; Raggioli, Luca; Rossi, Silvia
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