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Explainable Models

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Showing 1–25 of 128 papers

TitleStatusHype
Interpretable Few-Shot Image Classification via Prototypical Concept-Guided Mixture of LoRA Experts—0
Explainability and Continual Learning meet Federated Learning at the Network Edge—0
Explainable post-training bias mitigation with distribution-based fairness metrics—0
BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational PathologyCode1
ExDDV: A New Dataset for Explainable Deepfake Detection in VideoCode1
Tell me why: Visual foundation models as self-explainable classifiersCode0
Forecasting the future development in quality and value of professional football players for applications in team management—0
Explainability for Vision Foundation Models: A Survey—0
Prompt-CAM: A Simpler Interpretable Transformer for Fine-Grained AnalysisCode2
Constructing and explaining machine learning models for chemistry: example of the exploration and design of boron-based Lewis acidsCode0
Explainable fault and severity classification for rolling element bearings using Kolmogorov-Arnold networksCode1
Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2Code1
Concept Complement Bottleneck Model for Interpretable Medical Image Diagnosis—0
Reproducibility study of "LICO: Explainable Models with Language-Image Consistency"Code0
Explainable Diagnosis Prediction through Neuro-Symbolic Integration—0
CaBRNet, an open-source library for developing and evaluating Case-Based Reasoning ModelsCode1
The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual ExplanationsCode0
HEARTS: A Holistic Framework for Explainable, Sustainable and Robust Text Stereotype DetectionCode0
Density Adaptive Attention-based Speech Network: Enhancing Feature Understanding for Mental Health Disorders—0
Chemistry-informed Machine Learning Explains Calcium-binding Proteins Fuzzy Shape for Communicating Changes in the Atomic States of Calcium Ions—0
Benchmarking the Attribution Quality of Vision ModelsCode0
Predefined Prototypes for Intra-Class Separation and Disentanglement—0
Explainable Machine Learning and Deep Learning Models for Predicting TAS2R-Bitter Molecule Interactions—0
FreqRISE: Explaining time series using frequency maskingCode0
ProtoS-ViT: Visual foundation models for sparse self-explainable classificationsCode0
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