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Explainable Models

Papers

Showing 76–100 of 128 papers

TitleStatusHype
Towards Human-centered Explainable AI: A Survey of User Studies for Model ExplanationsCode0
The Ability of Image-Language Explainable Models to Resemble Domain Expertise—0
Bilevel Optimization for Feature Selection in the Data-Driven Newsvendor Problem—0
Assessing the Unitary RNN as an End-to-End Compositional Model of Syntax—0
The Analysis of Synonymy and Antonymy in Discourse Relations: An interpretable Modeling Approach—0
Smoothing Entailment Graphs with Language ModelsCode0
Using Multi-modal Data for Improving Generalizability and Explainability of Disease Classification in Radiology—0
Machine Learning in Sports: A Case Study on Using Explainable Models for Predicting Outcomes of Volleyball Matches—0
Explainable Models via Compression of Tree Ensembles—0
Visualization of Decision Trees based on General Line Coordinates to Support Explainable Models—0
ConceptDistil: Model-Agnostic Distillation of Concept Explanations—0
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers—0
Separable-HoverNet and Instance-YOLO for Colon Nuclei Identification and Counting—0
Nuclei panoptic segmentation and composition regression with multi-task deep neural networks—0
CoNIC: Colon Nuclei Identification and Counting Challenge 2022—0
A deep convolutional neural network for classification of Aedes albopictus mosquitoes—0
From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems—0
Deconfounded and Explainable Interactive Vision-Language Retrieval of Complex Scenes—0
Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation—0
Self-explaining Neural Network with Concept-based Explanations for ICU Mortality Prediction—0
FaxPlainAC: A Fact-Checking Tool Based on EXPLAINable Models with HumAn Correction in the Loop—0
Global and Local Interpretation of black-box Machine Learning models to determine prognostic factors from early COVID-19 dataCode0
Deriving Explanation of Deep Visual Saliency Models—0
A Framework for Learning Ante-hoc Explainable Models via ConceptsCode0
Distinguishing Healthy Ageing from Dementia: a Biomechanical Simulation of Brain Atrophy using Deep Networks—0
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