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Explainable Models

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Showing 51–100 of 128 papers

TitleStatusHype
Towards Human-centered Explainable AI: A Survey of User Studies for Model ExplanationsCode0
Variable Selection with Copula EntropyCode0
When and How to Fool Explainable Models (and Humans) with Adversarial ExamplesCode0
The Analysis of Synonymy and Antonymy in Discourse Relations: An interpretable Modeling Approach—0
ConceptDistil: Model-Agnostic Distillation of Concept Explanations—0
Fair-by-design explainable models for prediction of recidivism—0
Fair lending needs explainable models for responsible recommendation—0
FaxPlainAC: A Fact-Checking Tool Based on EXPLAINable Models with HumAn Correction in the Loop—0
Forecasting the future development in quality and value of professional football players for applications in team management—0
From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems—0
The Challenge of Imputation in Explainable Artificial Intelligence Models—0
GENIE-NF-AI: Identifying Neurofibromatosis Tumors using Liquid Neural Network (LTC) trained on AACR GENIE Datasets—0
AAAI FSS-19: Human-Centered AI: Trustworthiness of AI Models and Data Proceedings—0
The Pragmatic Turn in Explainable Artificial Intelligence (XAI)—0
Hyperbolic Convolutional Neural Networks—0
Concept Complement Bottleneck Model for Interpretable Medical Image Diagnosis—0
The State of Human-centered NLP Technology for Fact-checking—0
Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation—0
Interpretable Few-Shot Image Classification via Prototypical Concept-Guided Mixture of LoRA Experts—0
Interpreting Deep Forest through Feature Contribution and MDI Feature Importance—0
Interpreting GNN-based IDS Detections Using Provenance Graph Structural Features—0
Investigating ADR mechanisms with knowledge graph mining and explainable AI—0
Large Language Models for Cyber Security: A Systematic Literature Review—0
Learning Explainable Interventions to Mitigate HIV Transmission in Sex Workers Across Five States in India—0
Learning to learn generative programs with Memoised Wake-Sleep—0
Chemistry-informed Machine Learning Explains Calcium-binding Proteins Fuzzy Shape for Communicating Changes in the Atomic States of Calcium Ions—0
Machine Learning in Sports: A Case Study on Using Explainable Models for Predicting Outcomes of Volleyball Matches—0
Challenges and Opportunities for Second-life Batteries: A Review of Key Technologies and Economy—0
Mixture of Linear Models Co-supervised by Deep Neural Networks—0
Multimodal and Explainable Internet Meme Classification—0
Towards eXplainable AI for Mobility Data Science—0
Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning—0
Not just Birds and Cars: Generic, Scalable and Explainable Models for Professional Visual Recognition—0
Nuclei panoptic segmentation and composition regression with multi-task deep neural networks—0
Causality in Neural Networks -- An Extended Abstract—0
A Comprehensive Overview of Computational Nuclei Segmentation Methods in Digital Pathology—0
Can Physician Judgment Enhance Model Trustworthiness? A Case Study on Predicting Pathological Lymph Nodes in Rectal Cancer—0
Bilevel Optimization for Feature Selection in the Data-Driven Newsvendor Problem—0
Predefined Prototypes for Intra-Class Separation and Disentanglement—0
AudioProtoPNet: An interpretable deep learning model for bird sound classification—0
A Language-Based Approach to Fake News Detection Through Interpretable Features and BRNN—0
Transformative Machine Learning—0
UAlberta at SemEval-2021 Task 2: Determining Sense Synonymy via Translations—0
Advancing Ante-Hoc Explainable Models through Generative Adversarial Networks—0
Assessing the Unitary RNN as an End-to-End Compositional Model of Syntax—0
QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations—0
A deep convolutional neural network for classification of Aedes albopictus mosquitoes—0
Using Multi-modal Data for Improving Generalizability and Explainability of Disease Classification in Radiology—0
Retrieving and Highlighting Action with Spatiotemporal Reference—0
An XAI Approach to Deep Learning Models in the Detection of DCIS—0
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