autore : Roberta Calegari
100
pubblicazioni
Intelligent Agents from Symbolic to Neurosymbolic Systems: The Quest for Integration (The Agents Journey, 2026) — Andrea Agiollo, Roberta Calegari, Giovanni Ciatto, Matteo Magnini, Andrea Omicini, Federico Sabbatini Unfair Inequality in Education: A Benchmark for AI-Fairness Research (Scientific Data, 2026) — Joseph Giovanelli, Matteo Magnini, Giovanni Ciatto, Angel S. Marrero, Andrea Borghesi, Gustavo A. Marrero, Roberta Calegari Hierarchical Knowledge Extraction from Opaque Machine Learning Predictors (AIxIA 2024) — Federico Sabbatini, Roberta Calegari Addressing Bias and Data Scarcity in AI-Based Skin Disease Diagnosis with Non-Dermoscopic Images (AEQUITAS 2024) — Chiara Bellatreccia, Daniele Zama, Arianna Dondi, Luca Pierantoni, Andreozzi Laura, Iria Neri, Marcello Lanari, Andrea Borghesi, Roberta Calegari AI-fairness: the FAIRBRIDGE approach to practically bridge the gap between socio-legal and technical perspectives (HICSS-58) — Giovanni Ciatto, Mattia Matteini, Laura Sartori, Maria Rebrean, Catelijne Muller, Andrea Borghesi, Roberta Calegari ICE: An Evaluation Metric to Assess Symbolic Knowledge Quality (AIxIA 2024) — Federico Sabbatini, Roberta Calegari AI-fairness and equality of opportunity: a case study on educational achievement (AEQUITAS 2024) — Ángel S. Marrero, Gustavo A. Marrero, Carlos Bethencourt, Liam James, Roberta Calegari Symbolic Knowledge Comparison: Metrics and Methodologies for Multi-Agent Systems (WOA 2024) — Federico Sabbatini, Christel Sirocchi, Roberta Calegari Perspectives and Challenges of Telemedicine and Artificial Intelligence in Pediatric Dermatology (Children, 2024) — Daniele Zama, Andrea Borghesi, Alice Ranieri, Elisa Manieri, Luca Pierantoni, Laura Andreozzi, Arianna Dondi, Iria Neri, Marcello Lanari, Roberta Calegari Long-Term Fairness Strategies in Ranking with Continuous Sensitive Attributes (AEQUITAS 2024) — Luca Giuliani, Eleonora Misino, Roberta Calegari, Michele Lombardi Untying black boxes with clustering-based symbolic knowledge extraction (Intelligenza Artificiale, 2024) — Federico Sabbatini, Roberta Calegari Ensuring Fairness Stability for Disentangling Social Inequality in Access to Education: the FAiRDAS General Method (IJCAI 2024) — Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano Unmasking the Shadows: Leveraging Symbolic Knowledge Extraction to Discover Biases and Unfairness in Opaque Predictive Models (AEQUITAS 2024) — Federico Sabbatini, Roberta Calegari Enforcing Fairness via Constraint Injection with FaUCI (AEQUITAS 2024) — Matteo Magnini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini On the Evaluation of the Symbolic Knowledge Extracted from Black Boxes (AI and Ethics, 2024) — Federico Sabbatini, Roberta Calegari Generation of Clinical Skin Images with Pathology with Scarce Data (AAAI-24) — Andrea Borghesi, Roberta Calegari Bridging machine learning and diagnostics of the ESA LISA space mission with equation discovery via explainable artificial intelligence (Advances in Space Research, 2024) — Federico Sabbatini, Catia Grimani, Roberta Calegari Compliance checking on first-order knowledge with conflicting and compensatory norms: a comparison among currently available technologies (Artificial Intelligence and Law, 2023) — Livio Robaldo, Sotiris Batsakis, Roberta Calegari, Francesco Calimeri, Megumi Fujita, Guido Governatori, Maria Concetta Morelli, Francesco Pacenza, Giuseppe Pisano, Ken Satoh, Ilias Tachmazidis, Jessica Zangari Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score (ECAI-2023) — Federico Sabbatini, Roberta Calegari Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques (ECAI-2023) — Federico Sabbatini, Roberta Calegari Preface (Journal of Logic and Computation, 2023) — Roberta Calegari, Giovanni Ciatto, Andrea Omicini A geometric framework for fairness (2023) — Alessandro Maggio, Luca Giuliani, Roberta Calegari, Michele Lombardi, Michela Milano Unlocking Insights and Trust: The Value of Explainable Clustering Algorithms for Cognitive Agents (WOA 2023) — Federico Sabbatini, Roberta Calegari The PSyKE Technology for Trustworthy Artificial Intelligence (AIxIA 2022) — Roberta Calegari, Federico Sabbatini Proceedings of the 1st Workshop on Fairness and Bias in AI, AEQUITAS 2023 co-located with 26th European Conference on Artificial Intelligence (ECAI 2023) (2023) — Roberta Calegari, Andrea Aler Tubella, Gabriel González Castañe, Virginia Dignum, Michela Milano ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation (KoDis 2023 @ KR 2023) — Federico Sabbatini, Roberta Calegari FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System (2023) — Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano Unveiling Opaque Predictors via Explainable Clustering: The CReEPy Algorithm (2023) — Federico Sabbatini, Roberta Calegari Assessing and Enforcing Fairness in the AI Lifecycle (IJCAI 2023) — Roberta Calegari, Gabriel G. Castañé, Michela Milano, Barry O’Sullivan Multi-Agent Cooperative Argumentation in Arg2P (AIxIA 2022) — Giuseppe Pisano, Roberta Calegari, Andrea Omicini Efficient compliance checking of RDF data (Journal of Logic and Computation, 2023) — Livio Robaldo, Francesco Pacenza, Jessica Zangari, Roberta Calegari, Francesco Calimeri, Giovanni Siragusa Bottom-Up and Top-Down Workflows for Hypercube- and Clustering-based Knowledge Extractors (EXTRAAMAS 2023 @ AAMAS 2023) — Federico Sabbatini, Roberta Calegari Preface: Fairness and Bias in AI: Insights from AEQUITAS 2023 (2023) — Roberta Calegari, Andrea Aler Tubella, Gabriel Gonzalez, Virginia Dignum, Michela Milano Burden of Persuasion: A Meta-argumentation Approach (Journal of Applied Logics, 2023) — Giuseppe Pisano, Roberta Calegari, Andrea Omicini, Giovanni Sartor Towards a Unified Model for Symbolic Knowledge Extraction with Hypercube-Based Methods (Intelligenza Artificiale, 2023) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini Preface - Proceedings 39th International Conference on Logic Programming (2023) — Enrico Pontelli, Stefania Costantini, Carmine Dodaro, Sarah Gaggl, Roberta Calegari, Artur D'Avila Garcez, Francesco Fabiano, Alessandra Mileo, Alessandra Russo and Francesca Toni Modular logic argumentation in Arg-tuProlog (AIxIA 2021) — Roberta Calegari, Giuseppe Contissa, Giuseppe Pisano, Galileo Sartor, Giovanni Sartor Hypercube-Based Methods for Symbolic Knowledge Extraction: Towards a Unified Model (WOA 2022) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini Symbolic Knowledge Extraction from Opaque Machine Learning Predictors: GridREx & PEDRO (KR 2022) — Federico Sabbatini, Roberta Calegari Clustering-Based Approaches for Symbolic Knowledge Extraction (2022) — Federico Sabbatini, Roberta Calegari How to model contrary-to-duty with GCP-nets (Intelligenza Artificiale, 2022) — Andrea Loreggia, Roberta Calegari, Emiliano Lorini, Francesca Rossi, Giovanni Sartor Special Issue for the 22nd Workshop “From Objects to Agents'' (WOA 2021) (Intelligenza Artificiale, 2022) — Roberta Calegari, Giovanni Ciatto, Andrea Omicini, Giuseppe Vizzari Evaluation Metrics for Symbolic Knowledge Extracted from Machine Learning Black Boxes: A Discussion Paper (2022) — Federico Sabbatini, Roberta Calegari Arguing About the Existence of Conflicts (2022) — Giuseppe Pisano, Roberta Calegari, Henry Prakken, Giovanni Sartor Taking stock of available technologies for compliance checking on first-order knowledge (CILC 2022) — Livio Robaldo, Sotiris Batsakis, Roberta Calegari, Francesco Calimeri, Megumi Fujita, Guido Governatori, Maria Concetta Morelli, Giuseppe Pisano, Ken Satoh, Ilias Tachmazidis Probabilistic logic programming in 2P-Kt (AIxIA 2021) — Jason Dellaluce, Roberta Calegari, Giovanni Ciatto Burden of Persuasion in Meta-argumentation (AIxIA 2021) — Giuseppe Pisano, Roberta Calegari, Andrea Omicini, Giovanni Sartor Symbolic knowledge extraction from opaque ML predictors in PSyKE: Platform design & experiments (Intelligenza Artificiale, 2022) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini Burden of persuasion in argumentation: A meta-argumentation approach (2022) — Giuseppe Pisano, Roberta Calegari, Andrea Omicini, Giovanni Sartor Arg2P: An argumentation framework for explainable intelligent systems (Journal of Logic and Computation, 2022) — Roberta Calegari, Giuseppe Pisano, Andrea Omicini, Giovanni Sartor Logic Programming library for Machine Learning: API design and prototype (CILC 2022) — Giovanni Ciatto, Matteo Castigliò, Roberta Calegari Preface – Proceedings of the 37th Italian Conference on Computational Logic (CILC 2022) (CILC 2022) — Roberta Calegari, Giovanni Ciatto, Andrea Omicini On the Design of PSyKE: A Platform for Symbolic Knowledge Extraction (WOA 2021) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini Argumentation and Defeasible Reasoning in the Law (J — Multidisciplinary Scientific Journal, 2021) — Marco Billi, Roberta Calegari, Giuseppe Contissa, Francesca Lagioia, Giuseppe Pisano, Galileo Sartor, Giovanni Sartor Burdens of Persuasion and Standards of Proof in Structured Argumentation (2021) — Roberta Calegari, Giovanni Sartor The Burden of Persuasion in Structured Argumentation (ICAIL 2021) — Roberta Calegari, Regis Riveret, Giovanni Sartor A Mechanism for Reasoning over Defeasible Preferences in Arg2P (CILC 2021) — Giuseppe Pisano, Roberta Calegari, Andrea Omicini, Giovanni Sartor 2P-Kt: A Logic-Based Ecosystem for Symbolic AI (SoftwareX, 2021) — Giovanni Ciatto, Roberta Calegari, Andrea Omicini Preface (WOA 2021 – 22nd Workshop “From Objects to Agents”, 2021) — Roberta Calegari, Giovanni Ciatto, Enrico Denti, Andrea Omicini, Giovanni Sartor Towards cooperative argumentation for MAS: An actor-based approach (WOA 2021) — Giuseppe Pisano, Roberta Calegari, Andrea Omicini Explainability through argumentation in logic programming (CAUSAL 2021 @ ICLP 2021) — Marco Billi, Roberta Calegari, Giuseppe Contissa, Giuseppe Pisano, Galileo Sartor, Giovanni Sartor Logic-based Technologies for Multi-agent Systems: Summary of a Systematic Literature Review (AAMAS 2021) — Roberta Calegari, Giovanni Ciatto, Viviana Mascardi, Andrea Omicini Explainable and Ethical AI: A Perspective on Argumentation and Logic Programming (AIxIA 2020) — Roberta Calegari, Andrea Omicini, Giovanni Sartor Logic-based Technologies for Multi-agent Systems: A Systematic Literature Review (Autonomous Agents and Multi-Agent Systems, 2021) — Roberta Calegari, Giovanni Ciatto, Viviana Mascardi, Andrea Omicini Lazy Stream Manipulation in Prolog via Backtracking: The Case of 2P-Kt (JELIA 2021) — Giovanni Ciatto, Roberta Calegari, Andrea Omicini Argumentation and Logic Programming for Explainable and Ethical AI (AIxIA 2020) — Roberta Calegari, Andrea Omicini, Giovanni Sartor On the integration of symbolic and sub-symbolic techniques for XAI: A survey (Intelligenza Artificiale, 2020) — Roberta Calegari, Giovanni Ciatto, Andrea Omicini Arg-tuProlog: a modular logic argumentation tool for PIL (JURIX 2020) — Roberta Calegari, Giuseppe Contissa, Giuseppe Pisano, Galileo Sartor, Giovanni Sartor Arg-tuProlog: A tuProlog-based argumentation framework (CILC 2020) — Giuseppe Pisano, Roberta Calegari, Andrea Omicini, Giovanni Sartor Neuro-symbolic Computation for XAI: Towards a Unified Model (WOA 2020) — Giuseppe Pisano, Giovanni Ciatto, Roberta Calegari, Andrea Omicini Computable Law as Argumentation-based MAS (WOA 2020) — Roberta Calegari, Andrea Omicini, Giovanni Sartor 2P-Kt: logic programming with objects & functions in Kotlin (WOA 2020) — Giovanni Ciatto, Roberta Calegari, Enrico Siboni, Enrico Denti, Andrea Omicini A Model for the Burden of Persuasion in Argumentation (JURIX 2020) — Roberta Calegari, Giovanni Sartor Preface (WOA 2020 – 21st Workshop “From Objects to Agents”, 2020) — Roberta Calegari, Giovanni Ciatto, Enrico Denti, Andrea Omicini, Giovanni Sartor Logic-based Technologies for Intelligent Systems: State of the Art and Perspectives (Information, 2020) — Roberta Calegari, Giovanni Ciatto, Enrico Denti, Andrea Omicini Interpretable Narrative Explanation for ML Predictors with LP: A Case Study for XAI (WOA 2019) — Roberta Calegari, Giovanni Ciatto, Jason Dellaluce, Andrea Omicini Engineering Micro-intelligence at the Edge of CPCS: Design Guidelines (IDCS 2019) — Roberta Calegari, Giovanni Ciatto, Enrico Denti, Andrea Omicini Towards XMAS: eXplainability through Multi-Agent Systems (AI&IoT 2019 @ AI*IA 2019) — Giovanni Ciatto, Roberta Calegari, Andrea Omicini, Davide Calvaresi Logic Programming as a Service in Multi-Agent Systems for the Internet of Things (International Journal of Grid and Utility Computing, 2019) — Roberta Calegari, Enrico Denti, Stefano Mariani, Andrea Omicini Injecting (Micro)Intelligence in the IoT: Logic-based Approaches for (M)MAS (MMAS 2018) — Andrea Omicini, Roberta Calegari Defeasible Systems in Legal Reasoning: A Comparative Assessment (JURIX 2019) — Roberta Calegari, Giuseppe Contissa, Francesca Lagioia, Andrea Omicini, Giovanni Sartor From the Blockchain to Logic Programming and Back: Research Perspectives (WOA 2018) — Giovanni Ciatto, Roberta Calegari, Stefano Mariani, Enrico Denti, Andrea Omicini LPaaS as Micro-intelligence: Enhancing IoT with Symbolic Reasoning (Big Data and Cognitive Computing, 2018) — Roberta Calegari, Giovanni Ciatto, Stefano Mariani, Enrico Denti, Andrea Omicini Micro-intelligence for the IoT: SE Challenges and Practice in LPaaS (Globe-IoT 2018 @ ACM/IEEE IoTDI) — Roberta Calegari, Giovanni Ciatto, Stefano Mariani, Enrico Denti, Andrea Omicini Extending Logic Programming with Labelled Variables: Model and Semantics (Fundamenta Informaticae, 2018) — Roberta Calegari, Enrico Denti, Agostino Dovier, Andrea Omicini Logic Programming as a Service (Theory and Practice of Logic Programming, 2018) — Roberta Calegari, Enrico Denti, Stefano Mariani, Andrea Omicini Logic Programming in Space-Time: The Case of Situatedness in LPaaS (WOA 2018) — Roberta Calegari, Giovanni Ciatto, Stefano Mariani, Enrico Denti, Andrea Omicini Logic Programming as a Service (LPaaS): Intelligence for the IoT (ICNSC 2017) — Roberta Calegari, Enrico Denti, Stefano Mariani, Andrea Omicini Context Reasoning and Prediction in Smart Environments: the Home Manager case (SEIS @ KES-IIMSS-17) — Roberta Calegari, Enrico Denti Towards Logic Programming as a Service: Experiments in tuProlog (WOA 2016) — Roberta Calegari, Enrico Denti, Stefano Mariani, Andrea Omicini Building Smart Spaces on the Home Manager platform (ALP Newsletter, 2016) — Roberta Calegari, Enrico Denti The Butlers Framework for Socio-Technical Smart Spaces (INSCI 2016) — Roberta Calegari, Enrico Denti Labelled Variables in Logic Programming: Foundations (CILC 2016) — Roberta Calegari, Enrico Denti, Agostino Dovier, Andrea Omicini Butler-ising HomeManager: A Pervasive Multi-Agent System for Home Intelligence (ICAART 2015) — Enrico Denti, Roberta Calegari Labelled Variables in Logic Programming: A First Prototype in tuProlog (AI*IA 2015 DC @ AI*IA 2015) — Roberta Calegari, Enrico Denti, Andrea Omicini Extending a Smart Home Multi-Agent System with Role-Based Access Control (ITS 2014) — Enrico Denti, Roberta Calegari, Marco Prandini tuProlog: Making Prolog Ubiquitous (ALP Newsletter, 2013) — Enrico Denti, Andrea Omicini, Roberta Calegari CTG: A connectivity trace generator for testing the performance of opportunistic mobile systems (2007) — Roberta Calegari, Mirco Musolesi, Franco Raimondi, Cecilia Mascolo