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Explainable Models
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Explainability and Continual Learning meet Federated Learning at the Network Edge
Explainable post-training bias mitigation with distribution-based fairness metrics
BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology
ExDDV: A New Dataset for Explainable Deepfake Detection in Video
Tell me why: Visual foundation models as self-explainable classifiers
Forecasting the future development in quality and value of professional football players for applications in team management
Explainability for Vision Foundation Models: A Survey
Prompt-CAM: A Simpler Interpretable Transformer for Fine-Grained Analysis
Constructing and explaining machine learning models for chemistry: example of the exploration and design of boron-based Lewis acids
Explainable fault and severity classification for rolling element bearings using Kolmogorov-Arnold networks
Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2
Concept Complement Bottleneck Model for Interpretable Medical Image Diagnosis
Reproducibility study of "LICO: Explainable Models with Language-Image Consistency"
Explainable Diagnosis Prediction through Neuro-Symbolic Integration
CaBRNet, an open-source library for developing and evaluating Case-Based Reasoning Models
The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations
HEARTS: A Holistic Framework for Explainable, Sustainable and Robust Text Stereotype Detection
Density Adaptive Attention-based Speech Network: Enhancing Feature Understanding for Mental Health Disorders
Chemistry-informed Machine Learning Explains Calcium-binding Proteins Fuzzy Shape for Communicating Changes in the Atomic States of Calcium Ions
Benchmarking the Attribution Quality of Vision Models
Predefined Prototypes for Intra-Class Separation and Disentanglement
Explainable Machine Learning and Deep Learning Models for Predicting TAS2R-Bitter Molecule Interactions
FreqRISE: Explaining time series using frequency masking
ProtoS-ViT: Visual foundation models for sparse self-explainable classifications
Accurate Explanation Model for Image Classifiers using Class Association Embedding
Data Science Principles for Interpretable and Explainable AI
Large Language Models for Cyber Security: A Systematic Literature Review
Stability of Explainable Recommendation
AudioProtoPNet: An interpretable deep learning model for bird sound classification
An ExplainableFair Framework for Prediction of Substance Use Disorder Treatment Completion
Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges
Deep Learning for Robust and Explainable Models in Computer Vision
Pantypes: Diverse Representatives for Self-Explainable Models
Not just Birds and Cars: Generic, Scalable and Explainable Models for Professional Visual Recognition
QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations
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