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machine learning
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
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machine learning
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