Tutti i documenti taggati con machine learning

• The mythos of model interpretability
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• Graph Neural Networks as the Copula Mundi between Logic and Machine Learning: A Roadmap
• Preface
• UAI 2024
• UAI 2022
• Behavioral cloning per Autonomous Driving
• UAI 2023
• L’uso del machine learning in medicina
• Impiego di AI2Go per lo sviluppo di applicazioni basate su Edge Intelligence
• Abduction-Based Explanations for ML Models
• Counterfactual Explanations for Machine Learning: Challenges Revisited
• ICMLA 2022
• Interpretable Narrative Explanation for ML Predictors with LP: A Case Study for XAI
• ICMLA 2023
• UAI 2021
• Counterfactual Explanations for Machine Learning: A Review
• ICMLA 2021
• Empirical Model Learning: Merging knowledge-based and data-driven decision models through machine learning
• Open source AutoML: machine learning for everyone?
• Symbolic Knowledge Injection
• Sistemi di supporto alle decisioni in ambito clinico: predizione del rischio “as a service”
• Interpretable Narrative Explanation for ML Predictors with LP: A Case Study for XAI
• Machine Learning as a Service: Experiments with Java and R through PMML
• Causal Interpretability for Machine Learning – Problems, Methods and Evaluation
• Extending the 2P-Kt ecosystem: CLP and Labelled LP
• Towards XMAS: eXplainability through Multi-Agent Systems
• Proceedings of Machine Learning Research
• On the Design of PSyKE: A Platform for Symbolic Knowledge Extraction
• Sulla relazione tra autonomia, robot autonomi e deep learning
• Il Ragionamento Logico come Forma di Apprendimento: Sviluppo di Un Framework per ILP