CTG: a connectivity trace generator for testing the performance of opportunistic mobile systems. - Roberta Calegari; Mirco Musolesi; Franco Raimondi; Cecilia Mascolo (ESEC/SIGSOFT FSE, 2007)

Labelled Variables in Logic Programming: A First Prototype in tuProlog. - Roberta Calegari; Enrico Denti; Andrea Omicini (DC@AI*IA, 2015)

Butler-ising HomeManager - A Pervasive Multi-Agent System for Home Intelligence. - Enrico Denti; Roberta Calegari (ICAART (1), 2015)

Labelled Variables in Logic Programming: Foundations. - Roberta Calegari; Enrico Denti; Agostino Dovier; Andrea Omicini (CILC, 2016)

The Butlers Framework for Socio-Technical Smart Spaces. - Roberta Calegari; Enrico Denti (INSCI, 2016)

Towards Logic Programming as a Service: Experiments in tuProlog. - Roberta Calegari; Enrico Denti; Stefano Mariani 001; Andrea Omicini (WOA, 2016)

Logic Programming as a Service (LPaaS): Intelligence for the IoT. - Roberta Calegari; Enrico Denti; Stefano Mariani 001; Andrea Omicini (ICNSC, 2017)

Context Reasoning and Prediction in Smart Environments: The Home Manager Case. - Roberta Calegari; Enrico Denti (IIMSS, 2017)

Micro-Intelligence for the IoT: SE Challenges and Practice in LPaaS. - Roberta Calegari; Giovanni Ciatto; Stefano Mariani 001; Enrico Denti; Andrea Omicini (IC2E, 2018)

Injecting (Micro)Intelligence in the IoT: Logic-Based Approaches for (M)MAS. - Andrea Omicini; Roberta Calegari (MMAS, 2018)

Logic Programming in Space-Time: The Case of Situatedness in LPaaS. - Roberta Calegari; Giovanni Ciatto; Stefano Mariani 001; Enrico Denti; Andrea Omicini (WOA, 2018)

From the Blockchain to Logic Programming and Back: Research Perspectives. - Giovanni Ciatto; Roberta Calegari; Stefano Mariani 001; Enrico Denti; Andrea Omicini (WOA, 2018)

LPaaS as Micro-Intelligence: Enhancing IoT with Symbolic Reasoning. - Roberta Calegari; Giovanni Ciatto; Stefano Mariani 001; Enrico Denti; Andrea Omicini (Big Data Cogn. Comput., 2018)

Extending Logic Programming with Labelled Variables: Model and Semantics. - Roberta Calegari; Enrico Denti; Agostino Dovier; Andrea Omicini (Fundam. Informaticae, 2018)

Logic programming as a service. - Roberta Calegari; Enrico Denti; Stefano Mariani 001; Andrea Omicini (Theory Pract. Log. Program., 2018)

Micro-intelligence for the IoT: logic-based models and technologies. - Roberta Calegari (2018)

Towards XMAS: eXplainability through Multi-Agent Systems. - Giovanni Ciatto; Roberta Calegari; Andrea Omicini; Davide Calvaresi (AI&IoT@AI*IA, 2019)

Engineering Micro-intelligence at the Edge of CPCS: Design Guidelines. - Roberta Calegari; Giovanni Ciatto; Enrico Denti; Andrea Omicini (IDCS, 2019)

Defeasible Systems in Legal Reasoning: A Comparative Assessment. - Roberta Calegari; Giuseppe Contissa; Francesca Lagioia; Andrea Omicini; Giovanni Sartor (JURIX, 2019)

Interpretable Narrative Explanation for ML Predictors with LP: A Case Study for XAI. - Roberta Calegari; Giovanni Ciatto; Jason Dellaluce; Andrea Omicini (WOA, 2019)

Logic programming as a service in multi-agent systems for the Internet of Things. - Roberta Calegari; Enrico Denti; Stefano Mariani 001; Andrea Omicini (Int. J. Grid Util. Comput., 2019)

Argumentation and Logic Programming for Explainable and Ethical AI. - Roberta Calegari; Andrea Omicini; Giovanni Sartor (XAI.it@AI*IA, 2020)

Explainable and Ethical AI: A Perspective on Argumentation and Logic Programming. - Roberta Calegari; Andrea Omicini; Giovanni Sartor (AI*IA, 2020)

Arg-tuProlog: a tuProlog-based Argumentation Framework. - Giuseppe Pisano; Roberta Calegari; Andrea Omicini; Giovanni Sartor (CILC, 2020)

Arg-tuProlog: A Modular Logic Argumentation Tool for PIL. - Roberta Calegari; Giuseppe Contissa; Giuseppe Pisano; Galileo Sartor; Giovanni Sartor (JURIX, 2020)

A Model for the Burden of Persuasion in Argumentation. - Roberta Calegari; Giovanni Sartor (JURIX, 2020)

Computable Law as Argumentation-based MAS. - Roberta Calegari; Andrea Omicini; Giovanni Sartor (WOA, 2020)

2P-Kt: logic programming with objects & functions in Kotlin. - Giovanni Ciatto; Roberta Calegari; Enrico Siboni; Enrico Denti; Andrea Omicini (WOA, 2020)

Neuro-symbolic Computation for XAI: Towards a Unified Model. - Giuseppe Pisano; Giovanni Ciatto; Roberta Calegari; Andrea Omicini (WOA, 2020)

Modeling Contrary-to-Duty with CP-nets. - Roberta Calegari; Andrea Loreggia; Emiliano Lorini; Francesca Rossi 001; Giovanni Sartor (CoRR, 2020)

Burden of Persuasion in Argumentation. - Roberta Calegari; Giovanni Sartor (ICLP Technical Communications, 2020)

On the integration of symbolic and sub-symbolic techniques for XAI: A survey. - Roberta Calegari; Giovanni Ciatto; Andrea Omicini (Intelligenza Artificiale, 2020)

Logic-Based Technologies for Intelligent Systems: State of the Art and Perspectives. - Roberta Calegari; Giovanni Ciatto; Enrico Denti; Andrea Omicini (Inf., 2020)

Modular Logic Argumentation in Arg-tuProlog. - Roberta Calegari; Giuseppe Contissa; Giuseppe Pisano; Galileo Sartor; Giovanni Sartor (AI*IA, 2021)

Probabilistic logic programming in 2P-KT. - Jason Dellaluce; Roberta Calegari; Giovanni Ciatto (DP@AI*IA, 2021)

Burden of Persuasion in Argumentation: A Meta-argumentation Approach. - Giuseppe Pisano; Roberta Calegari; Andrea Omicini; Giovanni Sartor (AI³@AI*IA, 2021)

Burden of Persuasion in Meta-argumentation. - Giuseppe Pisano; Roberta Calegari; Andrea Omicini; Giovanni Sartor (AI*IA, 2021)

Logic-based Technologies for Multi-agent Systems: Summary of a Systematic Literature Review. - Roberta Calegari; Giovanni Ciatto; Viviana Mascardi; Andrea Omicini (AAMAS, 2021)

A Mechanism for Reasoning over Defeasible Preferences in Arg2P. - Giuseppe Pisano; Roberta Calegari; Andrea Omicini; Giovanni Sartor (CILC, 2021)

Burdens of Persuasion and Standards of Proof in Structured Argumentation. - Roberta Calegari; Giovanni Sartor (CLAR, 2021)

The burden of persuasion in structured argumentation. - Roberta Calegari; Régis Riveret; Giovanni Sartor (ICAIL, 2021)

Explainability Through Argumentation in Logic Programming. - Marco Billi; Roberta Calegari; Giuseppe Contissa; Giuseppe Pisano; Galileo Sartor; Giovanni Sartor (ICLP Workshops, 2021)

Lazy Stream Manipulation in Prolog via Backtracking: The Case of 2P-Kt. - Giovanni Ciatto; Roberta Calegari; Andrea Omicini (JELIA, 2021)

Towards cooperative argumentation for MAS: an Actor-based approach. - Giuseppe Pisano; Roberta Calegari; Andrea Omicini (WOA, 2021)

On the Design of PSyKE: A Platform for Symbolic Knowledge Extraction. - Federico Sabbatini; Giovanni Ciatto; Roberta Calegari; Andrea Omicini (WOA, 2021)

Logic-based technologies for multi-agent systems: a systematic literature review. - Roberta Calegari; Giovanni Ciatto; Viviana Mascardi; Andrea Omicini (Auton. Agents Multi Agent Syst., 2021)

2P-Kt: A logic-based ecosystem for symbolic AI. - Giovanni Ciatto; Roberta Calegari; Andrea Omicini (SoftwareX, 2021)

The PSyKE Technology for Trustworthy Artificial Intelligence. - Roberta Calegari; Federico Sabbatini (AI*IA, 2022)

Multi-agent Cooperative Argumentation in Arg2P. - Giuseppe Pisano; Roberta Calegari; Andrea Omicini (AI*IA, 2022)

Logic Programming library for Machine Learning: API design and prototype. - Giovanni Ciatto; Matteo Castigliò; Roberta Calegari (CILC, 2022)

Taking stock of available technologies for compliance checking on first-order knowledge. - Livio Robaldo; Sotiris Batsakis; Roberta Calegari; Francesco Calimeri; Megumi Fujita; Guido Governatori; Maria Concetta Morelli; Giuseppe Pisano; Ken Satoh; Ilias Tachmazidis (CILC, 2022)

Arguing About the Existence of Conflicts. - Giuseppe Pisano; Roberta Calegari; Henry Prakken; Giovanni Sartor (COMMA, 2022)

Symbolic Knowledge Extraction from Opaque Machine Learning Predictors: GridREx & PEDRO. - Federico Sabbatini; Roberta Calegari (KR, 2022)

Hypercube-based methods for symbolic knowledge extraction: towards a unified model. - Federico Sabbatini; Giovanni Ciatto; Roberta Calegari; Andrea Omicini (WOA, 2022)

Clustering-Based Approaches for Symbolic Knowledge Extraction. - Federico Sabbatini; Roberta Calegari (CoRR, 2022)

Evaluation Metrics for Symbolic Knowledge Extracted from Machine Learning Black Boxes: A Discussion Paper. - Federico Sabbatini; Roberta Calegari (CoRR, 2022)

Special Issue for the 22nd Workshop "From Objects to Agents" (WOA 2021). - Roberta Calegari; Giovanni Ciatto; Andrea Omicini; Giuseppe Vizzari (Intelligenza Artificiale, 2022)

How to model contrary-to-duty with GCP-nets. - Andrea Loreggia; Roberta Calegari; Emiliano Lorini; Francesca Rossi 001; Giovanni Sartor (Intelligenza Artificiale, 2022)

Symbolic knowledge extraction from opaque ML predictors in PSyKE: Platform design & experiments. - Federico Sabbatini; Giovanni Ciatto; Roberta Calegari; Andrea Omicini (Intelligenza Artificiale, 2022)

Arg2P: an argumentation framework for explainable intelligent systems. - Roberta Calegari; Andrea Omicini; Giuseppe Pisano; Giovanni Sartor (J. Log. Comput., 2022)

A geometric framework for fairness. - Alessandro Maggio; Luca Giuliani; Roberta Calegari; Michele Lombardi 001; Michela Milano (AEQUITAS@ECAI, 2023)

FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System. - Eleonora Misino; Roberta Calegari; Michele Lombardi 001; Michela Milano (AEQUITAS@ECAI, 2023)

Unveiling Opaque Predictors via Explainable Clustering: The CReEPy Algorithm. - Federico Sabbatini; Roberta Calegari (BEWARE@AI*IA, 2023)

Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score. - Federico Sabbatini; Roberta Calegari (ECAI, 2023)

Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques. - Federico Sabbatini; Roberta Calegari (ECAI Workshops (1), 2023)

Bottom-Up and Top-Down Workflows for Hypercube- And Clustering-Based Knowledge Extractors. - Federico Sabbatini; Roberta Calegari (EXTRAAMAS, 2023)

Assessing and Enforcing Fairness in the AI Lifecycle. - Roberta Calegari; Gabriel G. Castañé; Michela Milano; Barry O'Sullivan (IJCAI, 2023)

ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation. - Federico Sabbatini; Roberta Calegari (KoDis+CAKR@KR, 2023)

Explainable Clustering with CREAM. - Federico Sabbatini; Roberta Calegari (KR, 2023)

Unlocking Insights and Trust: The Value of Explainable Clustering Algorithms for Cognitive Agents. - Federico Sabbatini; Roberta Calegari (WOA, 2023)

Burden of Persuasion: A Meta-argumentation Approach. - Giuseppe Pisano; Roberta Calegari; Andrea Omicini; Giovanni Sartor (FLAP, 2023)

Towards a unified model for symbolic knowledge extraction with hypercube-based methods. - Federico Sabbatini; Giovanni Ciatto; Roberta Calegari; Andrea Omicini (Intelligenza Artificiale, 2023)

Efficient compliance checking of RDF data. - Livio Robaldo; Francesco Pacenza; Jessica Zangari; Roberta Calegari; Francesco Calimeri; Giovanni Siragusa (J. Log. Comput., 2023)

Long-Term Fairness Strategies in Ranking with Continuous Sensitive Attributes. - Luca Giuliani; Eleonora Misino; Roberta Calegari; Michele Lombardi 001 (AEQUITAS@ECAI, 2024)

Enforcing Fairness via Constraint Injection with FaUCI. - Matteo Magnini; Giovanni Ciatto; Roberta Calegari; Andrea Omicini (AEQUITAS@ECAI, 2024)

AI-fairness and equality of opportunity: a case study on educational achievement. - Angel S. Marrero; Gustavo A. Marrero; Carlos Bethencourt; Liam James; Roberta Calegari (AEQUITAS@ECAI, 2024)

Unmasking the Shadows: Leveraging Symbolic Knowledge Extraction to Discover Biases and Unfairness in Opaque Predictive Models. - Federico Sabbatini; Roberta Calegari (AEQUITAS@ECAI, 2024)

ICE: An Evaluation Metric to Assess Symbolic Knowledge Quality. - Federico Sabbatini; Roberta Calegari (AI*IA, 2024)

Hierarchical Knowledge Extraction from Opaque Machine Learning Predictors. - Federico Sabbatini; Roberta Calegari (AI*IA, 2024)

Ensuring Fairness Stability for Disentangling Social Inequality in Access to Education: the FAiRDAS General Method. - Eleonora Misino; Roberta Calegari; Michele Lombardi 001; Michela Milano (IJCAI, 2024)

Symbolic Knowledge Comparison: Metrics and Methodologies for Multi-Agent Systems. - Federico Sabbatini; Christel Sirocchi; Roberta Calegari (WOA, 2024)

Untying black boxes with clustering-based symbolic knowledge extraction. - Federico Sabbatini; Roberta Calegari (Intelligenza Artificiale, 2024)

On the evaluation of the symbolic knowledge extracted from black boxes. - Federico Sabbatini; Roberta Calegari (AI Ethics, 2024)

Compliance checking on first-order knowledge with conflicting and compensatory norms: a comparison among currently available technologies. - 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 (Artif. Intell. Law, 2024)

Introduction to Special Issue on Trustworthy Artificial Intelligence. - Roberta Calegari; Fosca Giannotti; Francesca Pratesi; Michela Milano (ACM Comput. Surv., 2024)

Addressing Bias and Data Scarcity in AI-Based Skin Disease Diagnosis with Non-Dermoscopic Images. - Chiara Bellatreccia; Daniele Zama; Arianna Dondi; Luca Pierantoni; Andreozzi Laura; Iria Neri; Marcello Lanari; Andrea Borghesi; Roberta Calegari (AIMMES, 2025)

Introduction to Special Issue on Trustworthy Artificial Intelligence (Part II). - Roberta Calegari; Fosca Giannotti; Michela Milano; Francesca Pratesi (ACM Comput. Surv., 2025)