D'Asaro, Fabio Aurelio

D'Asaro, Fabio Aurelio  

DIPARTIMENTO DI SCIENZE UMANE  

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Titolo Data di pubblicazione Autore(i) File
A fuzzy methodology to alleviate information overload in eLearning 1-gen-2013 D(')Asaro, F. A.; Perticone, V.; Tabacchi, M. E.
Administrating Cognitive Tests Through HRI: An Application of an Automatic Scoring System Through Visual Analysis 1-gen-2020 Sangiovanni, Sara; Spezialetti, Matteo; D’Asaro, Fabio Aurelio; Maggi, Gianpaolo; Rossi, Silvia
Agents displacement in arbitrary geometrical spaces: An evolutionary computation based approach 1-gen-2015 D(')Aleo, F.; D(')Asaro, F. A.; Perticone, V.; Rizzo, G.; Tabacchi, M. E.
BRIOxAlkemy: A Bias detecting tool 1-gen-2023 Coraglia, Greta; D'Asaro, Fabio Aurelio; Genco, Francesco; Giannuzzi, Davide; Posillipo, Davide; Primiero, Giuseppe; Quaggio, Christian
Foundations for a probabilistic event calculus 1-gen-2017 D?asaro, F. A.; Bikakis, A.; Dickens, L.; Miller, R.
Introducing k-lingo: a k-depth Bounded Version of ASP System Clingo 1-gen-2021 D'Asaro, Fabio Aurelio; Baldi, Paolo; Primiero, Giuseppe
Modelling Accuracy and Trustworthiness of Explaining Agents 1-gen-2021 Termine, Alberto; Primiero, Giuseppe; D’Asaro, Fabio Aurelio
Predicting humans: A sensor-based architecture for real time Intent Recognition using Problog 1-gen-2021 Acciaro, G. D.; D(')Asaro, F. A.; Rossi, S.
Probabilistic typed natural deduction for trustworthy computations 1-gen-2021 D(')Asaro, F. A.; Primiero, G.
Proof-checking Bias in Labeling Methods 1-gen-2022 Primiero, G.; D'Asaro, F. A.
Technology and human sciences: A dialogue to be constructed or a common tread to be rediscovered? 1-gen-2013 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 1-gen-2019 D?asaro, F. A.; Origlia, A.; Rossi, S.
Towards an Inductive Logic Programming Approach for Explaining Black-Box Preference Learning Systems 1-gen-2020 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 1-gen-2022 Fossemò, Daniele; Mignosi, Filippo; Raggioli, Luca; Spezialetti, Matteo; D'Asaro, Fabio Aurelio