tag : eXplainable AI
27 publications
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review (ACM Computing Surveys, 2024) — Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, Matteo Magnini, Andrea Omicini Symbolic Knowledge Extraction for Explainable Nutritional Recommenders (Computer Methods and Programs in Biomedicine, 2023) — Matteo Magnini, Giovanni Ciatto, Furkan Cantürk, Reyhan Aydoǧan, Andrea Omicini Bottom-Up and Top-Down Workflows for Hypercube- and Clustering-based Knowledge Extractors (EXTRAAMAS 2023@AAMAS 2023) — Federico Sabbatini, Roberta Calegari Position Paper: On the Role of Abductive Reasoning in Semantic Image Segmentation (AIxIA 2022) — Andrea Rafanelli, Stefania Costantini, Andrea Omicini Knowledge injection of Datalog rules via Neural Network Structuring with KINS (Journal of Logic and Computation, 2023) — Matteo Magnini, Giovanni Ciatto, Andrea Omicini Unveiling Opaque Predictors via Explainable Clustering: The CReEPy Algorithm (2023) — Federico Sabbatini, Roberta Calegari Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques (ECAI-2023) — Federico Sabbatini, Roberta Calegari ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation (KoDis 2023@KR 2023) — 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 from opaque ML predictors in PSyKE: Platform design & experiments (Intelligenza Artificiale, 2022) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini On the Design of PSyKE: A Platform for Symbolic Knowledge Extraction (WOA 2021) — Federico Sabbatini, 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 Expectation: Personalized Explainable Artificial Intelligence for Decentralized Agents with Heterogeneous Knowledge (EXTRAAMAS 2021@AAMAS 2021) — Davide Calvaresi, Giovanni Ciatto, Amro Najjar, Reyhan Aydoğan, Leon Van der Torre, Andrea Omicini, Michael I. Schumacher Preface (WOA 2021 – 22nd Workshop “From Objects to Agents”, 2021) — Roberta Calegari, Giovanni Ciatto, Enrico Denti, Andrea Omicini, Giovanni Sartor Towards Explainable Visionary Agents: License to Dare and Imagine (EXTRAAMAS 2021@AAMAS 2021) — Giovanni Ciatto, Amro Najjar, Jean-Paul Calbimonte, Davide Calvaresi Agent-Based Explanations in AI: Towards an Abstract Framework (EXTRAAMAS 2020@AAMAS 2020) — Giovanni Ciatto, Michael I. Schumacher, Andrea Omicini, Davide Calvaresi An Abstract Framework for Agent-Based Explanations in AI (AAMAS 2020) — Giovanni Ciatto, Davide Calvaresi, Michael I. Schumacher, Andrea Omicini On the integration of symbolic and sub-symbolic techniques for XAI: A survey (Intelligenza Artificiale, 2020) — Roberta Calegari, Giovanni Ciatto, Andrea Omicini Neuro-symbolic Computation for XAI: Towards a Unified Model (WOA 2020) — Giuseppe Pisano, Giovanni Ciatto, Roberta Calegari, Andrea Omicini Argumentation and Logic Programming for Explainable and Ethical AI (AIxIA 2020) — Roberta Calegari, Andrea Omicini, Giovanni Sartor Towards XMAS: eXplainability through Multi-Agent Systems (AI&IoT 2019@AIIA 2019) — Giovanni Ciatto, Roberta Calegari, Andrea Omicini, Davide Calvaresi Interpretable Narrative Explanation for ML Predictors with LP: A Case Study for XAI (WOA 2019) — Roberta Calegari, Giovanni Ciatto, Jason Dellaluce, Andrea Omicini Injecting (Micro)Intelligence in the IoT: Logic-based Approaches for (M)MAS (MMAS 2018) — Andrea Omicini, Roberta Calegari 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