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Showing 51–100 of 128 papers

TitleStatusHype
Interpreting GNN-based IDS Detections Using Provenance Graph Structural Features—0
Interpreting Deep Forest through Feature Contribution and MDI Feature Importance—0
GENIE-NF-AI: Identifying Neurofibromatosis Tumors using Liquid Neural Network (LTC) trained on AACR GENIE Datasets—0
The State of Human-centered NLP Technology for Fact-checking—0
Multimodal and Explainable Internet Meme Classification—0
Prototype-based Interpretable Graph Neural NetworksCode0
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
Sim2Word: Explaining Similarity with Representative Attribute Words via Counterfactual ExplanationsCode1
UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QACode1
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
dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series ClassificationCode1
Explaining Chest X-ray Pathologies in Natural LanguageCode1
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
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of ExplanationsCode1
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers—0
UKP-SQUARE: An Online Platform for Question Answering ResearchCode1
Separable-HoverNet and Instance-YOLO for Colon Nuclei Identification and Counting—0
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and ClassificationCode1
Nuclei panoptic segmentation and composition regression with multi-task deep neural networks—0
SLISEMAP: Supervised dimensionality reduction through local explanationsCode1
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
Physically Explainable CNN for SAR Image ClassificationCode1
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
Consistent Explanations by Contrastive LearningCode1
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
Mixture of Linear Models Co-supervised by Deep Neural Networks—0
UAlberta at SemEval-2021 Task 2: Determining Sense Synonymy via Translations—0
When and How to Fool Explainable Models (and Humans) with Adversarial ExamplesCode0
An XAI Approach to Deep Learning Models in the Detection of DCIS—0
Improved CNN-based Learning of Interpolation Filters for Low-Complexity Inter Prediction in Video CodingCode1
Causality in Neural Networks -- An Extended Abstract—0
Discovery of Nonlinear Dynamical Systems using a Runge-Kutta Inspired Dictionary-based Sparse Regression ApproachCode1
Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine LearningCode0
Wider Vision: Enriching Convolutional Neural Networks via Alignment to External Knowledge Bases—0
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