SOTAVerified

Explainable Models

Papers

Showing 101–128 of 128 papers

TitleStatusHype
Self-explaining Neural Network with Concept-based Explanations for ICU Mortality Prediction—0
Separable-HoverNet and Instance-YOLO for Colon Nuclei Identification and Counting—0
An ExplainableFair Framework for Prediction of Substance Use Disorder Treatment Completion—0
A Learnable Counter-condition Analysis Framework for Functional Connectivity-based Neurological Disorder Diagnosis—0
Wider Vision: Enriching Convolutional Neural Networks via Alignment to External Knowledge Bases—0
Stability of Explainable Recommendation—0
Stable and Interpretable Deep Learning for Tabular Data: Introducing InterpreTabNet with the Novel InterpreStability Metric—0
Visualization of Decision Trees based on General Line Coordinates to Support Explainable Models—0
Density Adaptive Attention-based Speech Network: Enhancing Feature Understanding for Mental Health Disorders—0
Dependency Decomposition and a Reject Option for Explainable Models—0
Deriving Explanation of Deep Visual Saliency Models—0
Deep Learning for Robust and Explainable Models in Computer Vision—0
Distinguishing Healthy Ageing from Dementia: a Biomechanical Simulation of Brain Atrophy using Deep Networks—0
Deconfounded and Explainable Interactive Vision-Language Retrieval of Complex Scenes—0
Explainability and Continual Learning meet Federated Learning at the Network Edge—0
Explainability for Vision Foundation Models: A Survey—0
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities—0
Explainable Diagnosis Prediction through Neuro-Symbolic Integration—0
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers—0
Explainable Machine Learning and Deep Learning Models for Predicting TAS2R-Bitter Molecule Interactions—0
Explainable Machine Learning Control -- robust control and stability analysis—0
Explainable machine learning identifies multi-omics signatures of muscle response to spaceflight in mice—0
Explainable Models via Compression of Tree Ensembles—0
Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning—0
Explainable post-training bias mitigation with distribution-based fairness metrics—0
Context-based Automated Scoring of Complex Mathematical Responses—0
CoNIC: Colon Nuclei Identification and Counting Challenge 2022—0
The Ability of Image-Language Explainable Models to Resemble Domain Expertise—0
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