A fuzzy methodology to alleviate information overload in eLearning. - Fabio Aurelio D'Asaro; Valerio Perticone; Marco Elio Tabacchi (EUSFLAT Conf., 2013)

Technology and human sciences: A dialogue to be constructed or a common tread to be rediscovered? - Fabio Aurelio D'Asaro; Valerio Perticone; Marco Elio Tabacchi; Settimo Termini (IFSA/NAFIPS, 2013)

Agents Displacement in Arbitrary Geometrical Spaces - An Evolutionary Computation based Approach. - Francesco D'Aleo; Fabio Aurelio D'Asaro; Valerio Perticone; Giovanni Rizzo; Marco Elio Tabacchi (ICAART (1), 2015)

Foundations for a Probabilistic Event Calculus. - Fabio Aurelio D'Asaro; Antonis Bikakis; Luke Dickens; Rob Miller 002 (LPNMR, 2017)

Computational Intelligence and Citizen Communication in the Smart City. - Fabio Aurelio D'Asaro; Mattia Antonino Di Gangi; Valerio Perticone; Marco Elio Tabacchi (Inform. Spektrum, 2017)

Towards a Logic-Based Approach for Multi-Modal Fusion and Decision Making during Motor Rehabilitation Sessions. - Fabio Aurelio D'Asaro; Antonio Origlia; Silvia Rossi 002 (WOA, 2019)

Probabilistic epistemic reasoning about actions. - Fabio Aurelio D'Asaro (2019)

Towards an Inductive Logic Programming Approach for Explaining Black-Box Preference Learning Systems. - Fabio Aurelio D'Asaro; Matteo Spezialetti; Luca Raggioli; Silvia Rossi 002 (KR, 2020)

Administrating Cognitive Tests Through HRI: An Application of an Automatic Scoring System Through Visual Analysis. - Sara Sangiovanni; Matteo Spezialetti; Fabio Aurelio D'Asaro; Gianpaolo Maggi; Silvia Rossi 002 (ICSR, 2020)

Probabilistic reasoning about epistemic action narratives. - Fabio Aurelio D'Asaro; Antonis Bikakis; Luke Dickens; Rob Miller 002 (Artif. Intell., 2020)

Probabilistic Typed Natural Deduction for Trustworthy Computations. - Fabio Aurelio D'Asaro; Giuseppe Primiero (TRUST@AAMAS, 2021)

Introducing k-lingo: a k-depth Bounded Version of ASP System Clingo. - Fabio Aurelio D'Asaro; Paolo Baldi; Giuseppe Primiero (KR, 2021)

Modelling Accuracy and Trustworthiness of Explaining Agents. - Alberto Termine; Giuseppe Primiero; Fabio Aurelio D'Asaro (LORI, 2021)

Predicting humans: a sensor-based architecture for real time Intent Recognition using Problog. - Gennaro Daniele Acciaro; Fabio Aurelio D'Asaro; Silvia Rossi 002 (WOA, 2021)

Using Inductive Logic Programming to Globally Approximate Neural Networks for Preference Learning: Challenges and Preliminary Results. - Daniele Fossemò; Filippo Mignosi; Luca Raggioli; Matteo Spezialetti; Fabio Aurelio D'Asaro (BEWARE@AI*IA, 2022)

Proof-checking Bias in Labeling Methods. - Giuseppe Primiero; Fabio Aurelio D'Asaro (BEWARE@AI*IA, 2022)

Checking Trustworthiness of Probabilistic Computations in a Typed Natural Deduction System. - Fabio Aurelio D'Asaro; Giuseppe Primiero (CoRR, 2022)

Editorial: Explainable artificial intelligence models and methods in finance and healthcare. - Brian S. Caffo; Fabio Aurelio D'Asaro; Artur Garcez; Emanuela Raffinetti (Frontiers Artif. Intell., 2022)

BRIOxAlkemy: a Bias Detecting Tool. - Greta Coraglia; Fabio Aurelio D'Asaro; Francesco Antonio Genco; Davide Giannuzzi; Davide Posillipo; Giuseppe Primiero; Christian Quaggio (BEWARE@AI*IA, 2023)

A Unifying Framework for Learning Argumentation Semantics. - Zlatina Mileva; Antonis Bikakis; Fabio Aurelio D'Asaro; Mark Law; Alessandra Russo (CoRR, 2023)

Advancing the Boundaries of Formal Argumentation: Reflections on the AI3 2021 Special Issue. - Marcello D'Agostino; Fabio Aurelio D'Asaro; Costanza Larese (FLAP, 2023)

Corrigendum: Editorial: Explainable artificial intelligence models and methods in finance and healthcare. - Brian S. Caffo; Fabio Aurelio D'Asaro; Artur Garcez; Emanuela Raffinetti (Frontiers Artif. Intell., 2023)

An Application of a Runtime Epistemic Probabilistic Event Calculus to Decision-making in e-Health Systems. - Fabio Aurelio D'Asaro; Luca Raggioli; Salim Malek; Marco Grazioso; Silvia Rossi 002 (Theory Pract. Log. Program., 2023)

An answer set programming-based implementation of epistemic probabilistic event calculus. - Fabio Aurelio D'Asaro; Antonis Bikakis; Luke Dickens; Rob Miller 002 (Int. J. Approx. Reason., 2024)

Weighted Assumption Based Argumentation to reason about ethical principles and actions. - Paolo Baldi; Fabio Aurelio D'Asaro; Abeer Dyoub; Francesca A. Lisi (CILC, 2025)

Checking trustworthiness of probabilistic computations in a typed natural deduction system. - Fabio Aurelio D'Asaro; Francesco A. Genco; Giuseppe Primiero (J. Log. Comput., 2025)

Deep Reinforcement Learning for Robotic Approaching Behavior Influenced by User Activity and Disengagement. - Luca Raggioli; Fabio Aurelio D'Asaro; Silvia Rossi 002 (Int. J. Soc. Robotics, 2025)

A Translation of Probabilistic Event Calculus into Markov Decision Processes. - Lyris Xu; Fabio Aurelio D'Asaro; Luke Dickens (CoRR, 2025)