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Explainable Models

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Showing 1–50 of 128 papers

TitleStatusHype
Prompt-CAM: A Simpler Interpretable Transformer for Fine-Grained AnalysisCode2
Explaining black boxes with a SMILE: Statistical Model-agnostic Interpretability with Local ExplanationsCode1
Improved CNN-based Learning of Interpolation Filters for Low-Complexity Inter Prediction in Video CodingCode1
UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QACode1
Learning Universal Shape Dictionary for Realtime Instance SegmentationCode1
BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational PathologyCode1
Physically Explainable CNN for SAR Image ClassificationCode1
SegNBDT: Visual Decision Rules for SegmentationCode1
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time IntervalsCode1
xFraud: Explainable Fraud Transaction DetectionCode1
CDT: Cascading Decision Trees for Explainable Reinforcement LearningCode1
Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2Code1
CaBRNet, an open-source library for developing and evaluating Case-Based Reasoning ModelsCode1
dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series ClassificationCode1
Sim2Word: Explaining Similarity with Representative Attribute Words via Counterfactual ExplanationsCode1
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and ClassificationCode1
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of ExplanationsCode1
TraceFL: Interpretability-Driven Debugging in Federated Learning via Neuron ProvenanceCode1
UKP-SQUARE: An Online Platform for Question Answering ResearchCode1
Consistent Explanations by Contrastive LearningCode1
Explaining Chest X-ray Pathologies in Natural LanguageCode1
Explainable fault and severity classification for rolling element bearings using Kolmogorov-Arnold networksCode1
SLISEMAP: Supervised dimensionality reduction through local explanationsCode1
ExDDV: A New Dataset for Explainable Deepfake Detection in VideoCode1
Discovery of Nonlinear Dynamical Systems using a Runge-Kutta Inspired Dictionary-based Sparse Regression ApproachCode1
Towards Musically Meaningful Explanations Using Source SeparationCode1
EXTRA: Explanation Ranking Datasets for Explainable RecommendationCode1
A Learnable Counter-condition Analysis Framework for Functional Connectivity-based Neurological Disorder Diagnosis—0
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers—0
Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning—0
Bilevel Optimization for Feature Selection in the Data-Driven Newsvendor Problem—0
Context-based Automated Scoring of Complex Mathematical Responses—0
A Language-Based Approach to Fake News Detection Through Interpretable Features and BRNN—0
A Comprehensive Overview of Computational Nuclei Segmentation Methods in Digital Pathology—0
Explainable post-training bias mitigation with distribution-based fairness metrics—0
Explainable Models via Compression of Tree Ensembles—0
CoNIC: Colon Nuclei Identification and Counting Challenge 2022—0
AudioProtoPNet: An interpretable deep learning model for bird sound classification—0
Fair-by-design explainable models for prediction of recidivism—0
ConceptDistil: Model-Agnostic Distillation of Concept Explanations—0
Explainable Machine Learning and Deep Learning Models for Predicting TAS2R-Bitter Molecule Interactions—0
Concept Complement Bottleneck Model for Interpretable Medical Image Diagnosis—0
Advancing Ante-Hoc Explainable Models through Generative Adversarial Networks—0
Explainable Diagnosis Prediction through Neuro-Symbolic Integration—0
Explainable Machine Learning Control -- robust control and stability analysis—0
Explainable machine learning identifies multi-omics signatures of muscle response to spaceflight in mice—0
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities—0
Chemistry-informed Machine Learning Explains Calcium-binding Proteins Fuzzy Shape for Communicating Changes in the Atomic States of Calcium Ions—0
Explainability for Vision Foundation Models: A Survey—0
Explainability and Continual Learning meet Federated Learning at the Network Edge—0
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