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Explainable Models
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Advancing Ante-Hoc Explainable Models through Generative Adversarial Networks
TraceFL: Interpretability-Driven Debugging in Federated Learning via Neuron Provenance
Can Physician Judgment Enhance Model Trustworthiness? A Case Study on Predicting Pathological Lymph Nodes in Rectal Cancer
Prototypical Self-Explainable Models Without Re-training
Explaining black boxes with a SMILE: Statistical Model-agnostic Interpretability with Local Explanations
A Learnable Counter-condition Analysis Framework for Functional Connectivity-based Neurological Disorder Diagnosis
Stable and Interpretable Deep Learning for Tabular Data: Introducing InterpreTabNet with the Novel InterpreStability Metric
Explainable machine learning identifies multi-omics signatures of muscle response to spaceflight in mice
Hyperbolic Convolutional Neural Networks
A Comprehensive Overview of Computational Nuclei Segmentation Methods in Digital Pathology
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities
Challenges and Opportunities for Second-life Batteries: A Review of Key Technologies and Economy
Towards eXplainable AI for Mobility Data Science
Interpreting GNN-based IDS Detections Using Provenance Graph Structural Features
Interpreting Deep Forest through Feature Contribution and MDI Feature Importance
GENIE-NF-AI: Identifying Neurofibromatosis Tumors using Liquid Neural Network (LTC) trained on AACR GENIE Datasets
The State of Human-centered NLP Technology for Fact-checking
Multimodal and Explainable Internet Meme Classification
Prototype-based Interpretable Graph Neural Networks
Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations
The Ability of Image-Language Explainable Models to Resemble Domain Expertise
Bilevel Optimization for Feature Selection in the Data-Driven Newsvendor Problem
UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA
Assessing the Unitary RNN as an End-to-End Compositional Model of Syntax
The Analysis of Synonymy and Antonymy in Discourse Relations: An interpretable Modeling Approach
Smoothing Entailment Graphs with Language Models
Using Multi-modal Data for Improving Generalizability and Explainability of Disease Classification in Radiology
dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification
Explaining Chest X-ray Pathologies in Natural Language
Machine Learning in Sports: A Case Study on Using Explainable Models for Predicting Outcomes of Volleyball Matches
Explainable Models via Compression of Tree Ensembles
Visualization of Decision Trees based on General Line Coordinates to Support Explainable Models
ConceptDistil: Model-Agnostic Distillation of Concept Explanations
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers
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