3 papers
cs.AI2024
Evaluating Machine Learning Models against Clinical Protocols for Enhanced Interpretability and Continuity of Care
Christel Sirocchi, Muhammad Suffian, Federico Sabbatini +2
In clinical practice, decision-making relies heavily on established protocols, often formalised as rules. Concurrently, Machine Learning (ML) models, trained on clinical data, aspi…
cs.LG2024
Introducing User Feedback-based Counterfactual Explanations (UFCE)
Muhammad Suffian, Jose M. Alonso-Moral, Alessandro Bogliolo
Machine learning models are widely used in real-world applications. However, their complexity makes it often challenging to interpret the rationale behind their decisions. Counterf…
cs.AI2023
Toward enriched Cognitive Learning with XAI
Muhammad Suffian, Ulrike Kuhl, Jose M. Alonso-Moral +1
As computational systems supported by artificial intelligence (AI) techniques continue to play an increasingly pivotal role in making high-stakes recommendations and decisions acro…