Per anno

37 pubblicazioni / 2024

2024

Proceedings of the 2nd Workshop on Fairness and Bias in AI co-located with 27th European Conference on Artificial Intelligence (ECAI 2024) (curatela) — Roberta Calegari, Virginia Dignum, Barry O'Sullivan
Metacognition and Confidence: A Review and Synthesis (Annual Review of Psychology) — Stephen M. Fleming
Integrating Agents and Virtual & Augmented Reality: a Preliminary Analysis of Challenges and Directions (XRIA 2024 @ ECAI-2024) — Andrea Pagliericci, Daniela Briola, Viviana Mascardi
Fairness and Bias in AI (Journal of Artificial Intelligence Research) — Roberta Calegari, Andrea Aler Tubella, Virginia Dignum, Michela Milano
Perspectives and Challenges of Telemedicine and Artificial Intelligence in Pediatric Dermatology (Children) — Daniele Zama, Andrea Borghesi, Alice Ranieri, Elisa Manieri, Luca Pierantoni, Laura Andreozzi, Arianna Dondi, Iria Neri, Marcello Lanari, Roberta Calegari
A Comprehensive System for Indoor Assistance and User Interaction (PICom 2024) — Francesco Cauteruccio, Miriana Russo, Corrado Santoro, Federico Fausto Santoro, Alessio Tudisco
Bridging machine learning and diagnostics of the ESA LISA space mission with equation discovery via explainable artificial intelligence (Advances in Space Research) — Federico Sabbatini, Catia Grimani, Roberta Calegari
Generation of Clinical Skin Images with Pathology with Scarce Data (AAAI-24) — Andrea Borghesi, Roberta Calegari
Blending BDI agents with object-oriented and functional programming with JaKtA (SN Computer Science) — Martina Baiardi, Samuele Burattini, Giovanni Ciatto, Danilo Pianini
Untying black boxes with clustering-based symbolic knowledge extraction (Intelligenza Artificiale) — Federico Sabbatini, Roberta Calegari
Concurrency Model of BDI Programming Frameworks: Why Should We Control It? (AAMAS 2024) — Martina Baiardi, Samuele Burattini, Giovanni Ciatto, Danilo Pianini, Alessandro Ricci, Andrea Omicini
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
Proceedings of the 2024 International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024) — Mehdi Dastani, Jaime Simão Sichman, Natasha Alechina, Virginia Dignum
Actively Learning Ontologies from LLMs: First Results (Extended Abstract) (DL 2024) — Matteo Magnini, Ana Ozaki, Riccardo Squarcialupi
LLM-based Solutions for Healthcare Chatbots: a Comparative Analysis (TELMED 2024) — Sara Montagna, Gianluca Aguzzi, Stefano Ferretti, Martino Francesco Pengo, Lorenz Cuno Klopfenstein, Michelangelo Ungolo, Matteo Magnini
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) — Federico Sabbatini, Roberta Calegari
Explainable, Transparent Autonomous Agents and Multi-Agent Systems (EXTRAAMAS 2024 @ AAMAS 2024) — Davide Calvaresi, Amro Najaar, Andrea Omicini, Reyhan Aydogan, Rachele Carli, Giovanni Ciatto, Joris Hulstijn, Kary Främling
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review (ACM Computing Surveys) — Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, Matteo Magnini, Andrea Omicini
From Large Language Models to Small Logic Programs: Building Global Explanations from Disagreeing Local Post-hoc Explainers (Autonomous Agents and Multi-Agent Systems) — Andrea Agiollo, Luciano Cavalcante Siebert, Pradeep Kumar Murukannaiah, Andrea Omicini
Preface (Explainable, Transparent Autonomous Agents and Multi-Agent Systems) — Davide Calvaresi, Amro Najaar, Andrea Omicini, Kary Främling
Special Issue on Trustworthy AI (ACM Computing Surveys) — Roberta Calegari, Fosca Giannotti, Francesca Pratesi, Michela Milano
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
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs (articolo in atti) — Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Lauren Hong, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun
Anonymous Federated Learning via Named-Data Networking (Future Generation Computer Systems) — Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Nicolò Dal Fabbro, Riccardo Lazzeretti
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
Hermes: a Wireless Communication Interface for Edge Computing (WOA 2024) — Davide Carnemolla, Fabrizio Messina, Corrado Santoro, Federico Fausto Santoro
EneA-FL: Energy-aware Orchestration for Serverless Federated Learning (Future Generation Computer Systems) — Andrea Agiollo, Paolo Bellavista, Matteo Mendula, Andrea Omicini
The Cognitive Hourglass: Agent Abstractions in the Large Models Era (AAMAS 2024) — Alessandro Ricci, Stefano Mariani, Franco Zambonelli, Samuele Burattini, Cristiano Castelfranchi
Rule enforcement in LLMs: a parameter efficient fine-tuning approach with self-generated training dataset (AIxHMI 2024 @ AIxIA 2024) — Daniele Franch, Pierluigi Roberti, Enrico Blanzieri
On the External Concurrency of Current BDI Frameworks for MAS (EMAS 2024 @ AAMAS 2024) — Martina Baiardi, Samuele Burattini, Giovanni Ciatto, Danilo Pianini, Alessandro Ricci, Andrea Omicini
An Empirical Study on the Robustness of Knowledge Injection Techniques Against Data Degradation (WOA 2024) — Andrea Rafanelli, Matteo Magnini, Andrea Agiollo, Giovanni Ciatto, Andrea Omicini
Coordination and Trust in MAS Towards Intelligent Socio-technical Systems (capitolo di libro) — Andrea Omicini, Alessandro Ricci
Geometric and Spatial Reasoning in BDI Agents: A Survey (articolo in atti) — Angelo Ferrando, Andrea Gatti, Viviana Mascardi
Approximating Memorization Using Loss Surface Geometry for Dataset Pruning and Summarization (KDD 2024) — Andrea Agiollo, Young In Kim, Rajiv Khanna

37 pubblicazioni / 2024 • in cima • indice • in fondo

pubblicazioni / 2024 / personali

Andrea Agiollo • Roberta Calegari • Giovanni Ciatto • Enrico Denti • Matteo Magnini • Mattia Matteini • Sara Montagna • Andrea Omicini • Giuseppe Pisano • Federico Sabbatini