tag : machine learning
9 publications
Graph Neural Networks as the Copula Mundi between Logic and Machine Learning: A Roadmap (WOA 2021) — Andrea Agiollo, Giovanni Ciatto, Andrea Omicini Counterfactual Explanations for Machine Learning: Challenges Revisited (2021) — Sahil Verma, John P. Dickerson, Keegan Hines Preface (WOA 2021 – 22nd Workshop “From Objects to Agents”, 2021) — Roberta Calegari, Giovanni Ciatto, Enrico Denti, Andrea Omicini, Giovanni Sartor On the Design of PSyKE: A Platform for Symbolic Knowledge Extraction (WOA 2021) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini Counterfactual Explanations for Machine Learning: A Review (2020) — Sahil Verma, John P. Dickerson, Keegan Hines Causal Interpretability for Machine Learning – Problems, Methods and Evaluation (2020) — Raha Moraffah, Mansooreh Karami, Ruocheng Guo, Adrienne Raglin, Huan Liu Interpretable Narrative Explanation for ML Predictors with LP: A Case Study for XAI (WOA 2019) — Roberta Calegari, Giovanni Ciatto, Jason Dellaluce, Andrea Omicini Towards XMAS: eXplainability through Multi-Agent Systems (AI&IoT 2019@AIIA 2019) — Giovanni Ciatto, Roberta Calegari, Andrea Omicini, Davide Calvaresi