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Explainable Models

Papers

Showing 51100 of 128 papers

TitleStatusHype
QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations0
A Comprehensive Overview of Computational Nuclei Segmentation Methods in Digital Pathology0
A deep convolutional neural network for classification of Aedes albopictus mosquitoes0
Advancing Ante-Hoc Explainable Models through Generative Adversarial Networks0
A Language-Based Approach to Fake News Detection Through Interpretable Features and BRNN0
A Learnable Counter-condition Analysis Framework for Functional Connectivity-based Neurological Disorder Diagnosis0
An ExplainableFair Framework for Prediction of Substance Use Disorder Treatment Completion0
An XAI Approach to Deep Learning Models in the Detection of DCIS0
Assessing the Unitary RNN as an End-to-End Compositional Model of Syntax0
AudioProtoPNet: An interpretable deep learning model for bird sound classification0
Bilevel Optimization for Feature Selection in the Data-Driven Newsvendor Problem0
Can Physician Judgment Enhance Model Trustworthiness? A Case Study on Predicting Pathological Lymph Nodes in Rectal Cancer0
Causality in Neural Networks -- An Extended Abstract0
Challenges and Opportunities for Second-life Batteries: A Review of Key Technologies and Economy0
Chemistry-informed Machine Learning Explains Calcium-binding Proteins Fuzzy Shape for Communicating Changes in the Atomic States of Calcium Ions0
Concept Complement Bottleneck Model for Interpretable Medical Image Diagnosis0
ConceptDistil: Model-Agnostic Distillation of Concept Explanations0
CoNIC: Colon Nuclei Identification and Counting Challenge 20220
Context-based Automated Scoring of Complex Mathematical Responses0
Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning0
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers0
Deconfounded and Explainable Interactive Vision-Language Retrieval of Complex Scenes0
Deep Learning for Robust and Explainable Models in Computer Vision0
Density Adaptive Attention-based Speech Network: Enhancing Feature Understanding for Mental Health Disorders0
Dependency Decomposition and a Reject Option for Explainable Models0
Deriving Explanation of Deep Visual Saliency Models0
Distinguishing Healthy Ageing from Dementia: a Biomechanical Simulation of Brain Atrophy using Deep Networks0
Mixture of Linear Models Co-supervised by Deep Neural Networks0
Multimodal and Explainable Internet Meme Classification0
Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning0
Not just Birds and Cars: Generic, Scalable and Explainable Models for Professional Visual Recognition0
Nuclei panoptic segmentation and composition regression with multi-task deep neural networks0
Predefined Prototypes for Intra-Class Separation and Disentanglement0
AAAI FSS-19: Human-Centered AI: Trustworthiness of AI Models and Data Proceedings0
Retrieving and Highlighting Action with Spatiotemporal Reference0
Self-explaining Neural Network with Concept-based Explanations for ICU Mortality Prediction0
Separable-HoverNet and Instance-YOLO for Colon Nuclei Identification and Counting0
Stability of Explainable Recommendation0
Stable and Interpretable Deep Learning for Tabular Data: Introducing InterpreTabNet with the Novel InterpreStability Metric0
The Ability of Image-Language Explainable Models to Resemble Domain Expertise0
The Analysis of Synonymy and Antonymy in Discourse Relations: An interpretable Modeling Approach0
The Challenge of Imputation in Explainable Artificial Intelligence Models0
The Pragmatic Turn in Explainable Artificial Intelligence (XAI)0
The State of Human-centered NLP Technology for Fact-checking0
Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation0
Towards eXplainable AI for Mobility Data Science0
Transformative Machine Learning0
UAlberta at SemEval-2021 Task 2: Determining Sense Synonymy via Translations0
Using Multi-modal Data for Improving Generalizability and Explainability of Disease Classification in Radiology0
Visualization of Decision Trees based on General Line Coordinates to Support Explainable Models0
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