Per Sort

69 papers in proceedings / Roberta Calegari

long bib

papers in proceedings

AI-fairness: the FAIRBRIDGE approach to practically bridge the gap between socio-legal and technical perspectives () — 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
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
Hierarchical Knowledge Extraction from Opaque Machine Learning Predictors (AIxIA 2024) — Federico Sabbatini, Roberta Calegari
AI-fairness: the FAIRBRIDGE approach to practically bridge the gap between socio-legal and technical perspectives () — Giovanni Ciatto, Mattia Matteini, Laura Sartori, Maria Rebrean, Catelijne Muller, Andrea Borghesi, 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
Unmasking the Shadows: Leveraging Symbolic Knowledge Extraction to Discover Biases and Unfairness in Opaque Predictive Models (Aequitas 2024) — Federico Sabbatini, Roberta Calegari
Ensuring Fairness Stability for Disentangling Social Inequality in Access to Education: the FAiRDAS General Method () — Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano
Enforcing Fairness via Constraint Injection with FaUCI (Aequitas 2024) — Matteo Magnini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
Long-Term Fairness Strategies in Ranking with Continuous Sensitive Attributes (Aequitas 2024) — Luca Giuliani, Eleonora Misino, Roberta Calegari, Michele Lombardi
Symbolic Knowledge Comparison: Metrics and Methodologies for Multi-Agent Systems (WOA 2024) — Federico Sabbatini, Christel Sirocchi, Roberta Calegari
Generation of Clinical Skin Images with Pathology with Scarce Data (AAAI-24) — Andrea Borghesi, Roberta Calegari
Explainable Clustering with CREAM (KR 2023) — Federico Sabbatini, Roberta Calegari
Unveiling Opaque Predictors via Explainable Clustering: The CReEPy Algorithm () — Federico Sabbatini, Roberta Calegari
Unlocking Insights and Trust: The Value of Explainable Clustering Algorithms for Cognitive Agents (WOA 2023) — Federico Sabbatini, Roberta Calegari
Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score (ECAI-2023) — Federico Sabbatini, Roberta Calegari
Multi-Agent Cooperative Argumentation in Arg2P (AIxIA 2022) — Giuseppe Pisano, Roberta Calegari, Andrea Omicini
FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System () — Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano
The PSyKE Technology for Trustworthy Artificial Intelligence (AIxIA 2022) — Roberta Calegari, Federico Sabbatini
A geometric framework for fairness () — Alessandro Maggio, Luca Giuliani, Roberta Calegari, Michele Lombardi, Michela Milano
Assessing and Enforcing Fairness in the AI Lifecycle () — Roberta Calegari, Gabriel G. Castañé, Michela Milano, Barry O’Sullivan
ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation (KoDis 2023@KR 2023) — Federico Sabbatini, Roberta Calegari
Bottom-Up and Top-Down Workflows for Hypercube- and Clustering-based Knowledge Extractors (EXTRAAMAS 2023@AAMAS 2023) — Federico Sabbatini, Roberta Calegari
Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques (ECAI-2023) — Federico Sabbatini, Roberta Calegari
Symbolic Knowledge Extraction from Opaque Machine Learning Predictors: GridREx & PEDRO (KR 2022) — Federico Sabbatini, Roberta Calegari
Logic Programming library for Machine Learning: API design and prototype (CILC 2022) — Giovanni Ciatto, Matteo Castigliò, Roberta Calegari
Hypercube-Based Methods for Symbolic Knowledge Extraction: Towards a Unified Model (WOA 2022) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
Evaluation Metrics for Symbolic Knowledge Extracted from Machine Learning Black Boxes: A Discussion Paper () — Federico Sabbatini, Roberta Calegari
Clustering-Based Approaches for Symbolic Knowledge Extraction () — Federico Sabbatini, Roberta Calegari
Probabilistic logic programming in 2P-Kt (AIxIA 2021) — Jason Dellaluce, Roberta Calegari, Giovanni Ciatto
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
Modular logic argumentation in Arg-tuProlog (AIxIA 2021) — Roberta Calegari, Giuseppe Contissa, Giuseppe Pisano, Galileo Sartor, Giovanni Sartor
Arguing About the Existence of Conflicts () — Giuseppe Pisano, Roberta Calegari, Henry Prakken, Giovanni Sartor
Burden of Persuasion in Meta-argumentation (AIxIA 2021) — Giuseppe Pisano, Roberta Calegari, Andrea Omicini, 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
Burdens of Persuasion and Standards of Proof in Structured Argumentation () — Roberta Calegari, Giovanni Sartor
On the Design of PSyKE: A Platform for Symbolic Knowledge Extraction (WOA 2021) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
Burden of persuasion in argumentation: A meta-argumentation approach (2021) — Giuseppe Pisano, Roberta Calegari, Andrea Omicini, Giovanni Sartor
The Burden of Persuasion in Structured Argumentation () — 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
Towards cooperative argumentation for MAS: An actor-based approach (WOA 2021) — Giuseppe Pisano, Roberta Calegari, Andrea Omicini
Explainability through argumentation in logic programming () — Marco Billi, Roberta Calegari, Giuseppe Contissa, Giuseppe Pisano, Galileo Sartor, Giovanni Sartor
Lazy Stream Manipulation in Prolog via Backtracking: The Case of 2P-Kt (JELIA 2021) — Giovanni Ciatto, Roberta Calegari, Andrea Omicini
Explainable and Ethical AI: A Perspective on Argumentation and Logic Programming (AIxIA 2020) — Roberta Calegari, Andrea Omicini, Giovanni Sartor
Argumentation and Logic Programming for Explainable and Ethical AI (AIxIA 2020) — 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
A Model for the Burden of Persuasion in Argumentation (JURIX 2020) — Roberta Calegari, Giovanni Sartor
Arg-tuProlog: A tuProlog-based argumentation framework (CILC 2020) — Giuseppe Pisano, Roberta Calegari, Andrea Omicini, Giovanni Sartor
Burden of Persuasion in Argumentation (ICLP 2020) — Roberta Calegari, Giovanni Sartor
Arg-tuProlog: a modular logic argumentation tool for PIL (JURIX 2020) — Roberta Calegari, Giuseppe Contissa, Giuseppe Pisano, Galileo Sartor, Giovanni Sartor
2P-Kt: logic programming with objects & functions in Kotlin (WOA 2020) — Giovanni Ciatto, Roberta Calegari, Enrico Siboni, Enrico Denti, Andrea Omicini
Injecting (Micro)Intelligence in the IoT: Logic-based Approaches for (M)MAS (MMAS 2018) — Andrea Omicini, Roberta Calegari
Towards XMAS: eXplainability through Multi-Agent Systems (AI&IoT 2019@AIIA 2019) — Giovanni Ciatto, Roberta Calegari, Andrea Omicini, Davide Calvaresi
Defeasible Systems in Legal Reasoning: A Comparative Assessment (JURIX 2019) — Roberta Calegari, Giuseppe Contissa, Francesca Lagioia, Andrea Omicini, Giovanni Sartor
Engineering Micro-intelligence at the Edge of CPCS: Design Guidelines (IDCS 2019) — 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
Logic Programming in Space-Time: The Case of Situatedness in LPaaS (WOA 2018) — Roberta Calegari, Giovanni Ciatto, Stefano Mariani, Enrico Denti, Andrea Omicini
From the Blockchain to Logic Programming and Back: Research Perspectives (WOA 2018) — Giovanni Ciatto, Roberta Calegari, 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
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
Labelled Variables in Logic Programming: Foundations (CILC 2016) — Roberta Calegari, Enrico Denti, Agostino Dovier, Andrea Omicini
Towards Logic Programming as a Service: Experiments in tuProlog (WOA 2016) — Roberta Calegari, Enrico Denti, Stefano Mariani, Andrea Omicini
The Butlers Framework for Socio-Technical Smart Spaces (INSCI 2016) — Roberta Calegari, Enrico Denti
Labelled Variables in Logic Programming: A First Prototype in tuProlog (AI*IA 2015 DC @AI*IA 2015) — Roberta Calegari, Enrico Denti, Andrea Omicini
Butler-ising HomeManager: A Pervasive Multi-Agent System for Home Intelligence (ICAART 2015) — Enrico Denti, Roberta Calegari
Extending a Smart Home Multi-Agent System with Role-Based Access Control (ITS 2014) — Enrico Denti, Roberta Calegari, Marco Prandini
CTG: A connectivity trace generator for testing the performance of opportunistic mobile systems () — Roberta Calegari, Mirco Musolesi, Franco Raimondi, Cecilia Mascolo

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