Gradient-Based Competitive Learning: Theory
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FedMMA-HAR: Federated Learning for Human Activity Recognition With Missing Modalities Using Head-Worn Wearables
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Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning
Evaluating Explanations Through LLMs: Beyond Traditional User Studies
Differential Privacy for Anomaly Detection: Analyzing the Trade-off Between Privacy and Explainability
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DC3DO: Diffusion Classifier for 3D Objects
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Counterfactual Explanations for Clustering Models
aurora-spagnol
Climbing the Ladder of Interpretability with Counterfactual Concept Bottleneck Models
Causal Concept Embedding Models: Beyond Causal Opacity in Deep Learning
AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model