Methods › General › Interpretability › SHAP › Papers, page 3
Shapley Additive Explanations
SHAP
Papers archive 2025-07-28
archive papers tagged: 550 · with a code link: 175 · where Syntology ran a sample: 26 (19 with a run with no instrument failure, 7 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (26 of 550 tagged: 19 with a run with no instrument failure, 7 where every run was a failure of Syntology's instrument)
Page 3 of 6: papers 201 to 300 of 550, newest first by the archive's date (ties by slug), in archive order.
Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.
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Exploring the Determinants of Pedestrian Crash Severity Using an AutoML Approach 7 Jun 2024 · 1 repository · arXiv:2406.06624
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Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions 3 Jun 2024 · 0 repositories · arXiv:2406.02625
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Alternative Methods to SHAP Derived from Properties of Kernels: A Note on Theoretical Analysis 1 Jun 2024 · 0 repositories · arXiv:2406.00371
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Explaining Predictions by Characteristic Rules 31 May 2024 · 1 repository · arXiv:2405.21003
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Explainable Data-driven Modeling of Adsorption Energy in Heterogeneous Catalysis 30 May 2024 · 1 repository · arXiv:2405.20397
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Modelling and Forecasting Energy Market Volatility Using GARCH and Machine Learning Approach 30 May 2024 · 0 repositories · arXiv:2405.19849
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Out-of-distribution Reject Option Method for Dataset Shift Problem in Early Disease Onset Prediction 30 May 2024 · 1 repository · arXiv:2405.19864
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What Variables Affect Out-of-Distribution Generalization in Pretrained Models? 23 May 2024 · 0 repositories · arXiv:2405.15018
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From SHAP Scores to Feature Importance Scores 20 May 2024 · 0 repositories · arXiv:2405.11766
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Interpretability of Statistical, Machine Learning, and Deep Learning Models for Landslide Susceptibility Mapping in Three Gorges Reservoir Area 20 May 2024 · 0 repositories · arXiv:2405.11762
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Predicting and Explaining Hearing Aid Usage Using Encoder-Decoder with Attention Mechanism and SHAP 18 May 2024 · 0 repositories · arXiv:2405.11275
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Feature Importance and Explainability in Quantum Machine Learning 14 May 2024 · 1 repository · arXiv:2405.08917
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Artificial Intelligence-powered fossil shark tooth identification: Unleashing the potential of Convolutional Neural Networks 7 May 2024 · 0 repositories · arXiv:2405.04189
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Explainable machine learning for predicting shellfish toxicity in the Adriatic Sea using long-term monitoring data of HABs 7 May 2024 · 1 repository · arXiv:2405.04372
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Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes 6 May 2024 · 0 repositories · arXiv:2405.03327
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On the Tractability of SHAP Explanations under Markovian Distributions 5 May 2024 · 0 repositories · arXiv:2405.02936
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ICU Bloodstream Infection Prediction: A Transformer-Based Approach for EHR Analysis 1 May 2024 · 1 repository · arXiv:2405.00819
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Towards trustable SHAP scores 30 Apr 2024 · 0 repositories · arXiv:2405.00076
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A Deep Dive into Effects of Structural Bias on CMA-ES Performance along Affine Trajectories 26 Apr 2024 · 0 repositories · arXiv:2404.17323
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Explainable AI models for predicting liquefaction-induced lateral spreading 24 Apr 2024 · 1 repository · arXiv:2404.15959
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Capturing Momentum: Tennis Match Analysis Using Machine Learning and Time Series Theory 20 Apr 2024 · 0 repositories · arXiv:2404.13300
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Using Explainable AI and Transfer Learning to understand and predict the maintenance of Atlantic blocking with limited observational data 12 Apr 2024 · 1 repository · arXiv:2404.08613
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Machine learning and economic forecasting: the role of international trade networks 11 Apr 2024 · 0 repositories · arXiv:2404.08712
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Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set 8 Apr 2024 · 1 repository · arXiv:2404.05908
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Predictive Modeling for Breast Cancer Classification in the Context of Bangladeshi Patients: A Supervised Machine Learning Approach with Explainable AI 6 Apr 2024 · 0 repositories · arXiv:2404.04686
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Enhancing Breast Cancer Diagnosis in Mammography: Evaluation and Integration of Convolutional Neural Networks and Explainable AI 5 Apr 2024 · 0 repositories · arXiv:2404.03892
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Accurate estimation of feature importance faithfulness for tree models 4 Apr 2024 · 0 repositories · arXiv:2404.03426
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Stereotype Detection in LLMs: A Multiclass, Explainable, and Benchmark-Driven Approach 2 Apr 2024 · 0 repositories · arXiv:2404.01768
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A hybrid transformer and attention based recurrent neural network for robust and interpretable sentiment analysis of tweets 30 Mar 2024 · 1 repository · arXiv:2404.00297
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Integrating behavior analysis with machine learning to predict online learning performance: A scientometric review and empirical study 28 Mar 2024 · 0 repositories · arXiv:2406.11847
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Towards Stable Machine Learning Model Retraining via Slowly Varying Sequences 28 Mar 2024 · 0 repositories · arXiv:2403.19871
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Leveraging Expert Input for Robust and Explainable AI-Assisted Lung Cancer Detection in Chest X-rays 28 Mar 2024 · 0 repositories · arXiv:2403.19444
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Analyzing Domestic Violence through Exploratory Data Analysis and Explainable Ensemble Learning Insights 22 Mar 2024 · 0 repositories · arXiv:2403.15594
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Multi-Level Explanations for Generative Language Models 21 Mar 2024 · 0 repositories · arXiv:2403.14459
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Breast Cancer Classification Using Gradient Boosting Algorithms Focusing on Reducing the False Negative and SHAP for Explainability 14 Mar 2024 · 0 repositories · arXiv:2403.09548
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Causal Graph Neural Networks for Wildfire Danger Prediction 13 Mar 2024 · 0 repositories · arXiv:2403.08414
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REFRESH: Responsible and Efficient Feature Reselection Guided by SHAP Values 13 Mar 2024 · 0 repositories · arXiv:2403.08880
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Feasibility of machine learning-based rice yield prediction in India at the district level using climate reanalysis data 12 Mar 2024 · 0 repositories · arXiv:2403.07967
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COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification 11 Mar 2024 · 0 repositories · arXiv:2403.06874
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TrafPS: A Shapley-based Visual Analytics Approach to Interpret Traffic 7 Mar 2024 · 0 repositories · arXiv:2403.04812
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Graph Theory and GNNs to Unravel the Topographical Organization of Brain Lesions in Variants of Alzheimer's Disease Progression 1 Mar 2024 · 0 repositories · arXiv:2403.00636
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Combination of Weak Learners eXplanations to Improve Random Forest eXplicability Robustness 29 Feb 2024 · 0 repositories · arXiv:2402.19025
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Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization 22 Feb 2024 · 0 repositories · arXiv:2402.14182
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Explaining Probabilistic Models with Distributional Values 15 Feb 2024 · 1 repository · arXiv:2402.09947Syntology official: harvested, nothing ran · 0 ran · 2 unverified (of 2 harvested samples) · 2 pointer-only (licence)
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Regional inflation analysis using social network data 14 Feb 2024 · 0 repositories · arXiv:2403.00774
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The Duet of Representations and How Explanations Exacerbate It 13 Feb 2024 · 0 repositories · arXiv:2402.08379
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Explain Variance of Prediction in Variational Time Series Models for Clinical Deterioration Prediction 9 Feb 2024 · 0 repositories · arXiv:2402.06808
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Succinct Interaction-Aware Explanations 8 Feb 2024 · 0 repositories · arXiv:2402.05566
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Beyond explaining: XAI-based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction 7 Feb 2024 · 0 repositories · arXiv:2402.04982
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eXplainable Bayesian Multi-Perspective Generative Retrieval 4 Feb 2024 · 0 repositories · arXiv:2402.02418
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An explainable machine learning-based approach for analyzing customers' online data to identify the importance of product attributes 3 Feb 2024 · 0 repositories · arXiv:2402.05949
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Improving the accuracy of freight mode choice models: A case study using the 2017 CFS PUF data set and ensemble learning techniques 1 Feb 2024 · 0 repositories · arXiv:2402.00654
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Explainable Benchmarking for Iterative Optimization Heuristics 31 Jan 2024 · 1 repository · arXiv:2401.17842
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Statistical Significance of Feature Importance Rankings 28 Jan 2024 · 2 repositories · arXiv:2401.15800
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Interpretable Solutions for Breast Cancer Diagnosis with Grammatical Evolution and Data Augmentation 25 Jan 2024 · 0 repositories · arXiv:2401.14255
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The Distributional Uncertainty of the SHAP score in Explainable Machine Learning 23 Jan 2024 · 0 repositories · arXiv:2401.12731
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REVEX: A Unified Framework for Removal-Based Explainable Artificial Intelligence in Video 22 Jan 2024 · 1 repository · arXiv:2401.11796
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A Finger on the Pulse of Cardiovascular Health: Estimating Blood Pressure with Smartphone Photoplethysmography-Based Pulse Waveform Analysis 20 Jan 2024 · 0 repositories · arXiv:2401.11117
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X Hacking: The Threat of Misguided AutoML 16 Jan 2024 · 1 repository · arXiv:2401.08513Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 2 harvested samples) · 2 pointer-only (licence)
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Manifold-based Shapley for SAR Recognization Network Explanation 6 Jan 2024 · 0 repositories · arXiv:2401.03128
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Shaping Up SHAP: Enhancing Stability through Layer-Wise Neighbor Selection 19 Dec 2023 · 0 repositories · arXiv:2312.12115
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Prediction of Crash Injury Severity in Florida's Interstate-95 16 Dec 2023 · 0 repositories · arXiv:2312.12459
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An Explainable Machine Learning Framework for the Accurate Diagnosis of Ovarian Cancer 11 Dec 2023 · 0 repositories · arXiv:2312.08381
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Enhancing Explainability in Mobility Data Science through a combination of methods 1 Dec 2023 · 0 repositories · arXiv:2312.00380
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Towards Clinical Prediction with Transparency: An Explainable AI Approach to Survival Modelling in Residential Aged Care 1 Dec 2023 · 1 repository · arXiv:2312.00271
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Forecasting Auxiliary Energy Consumption for Electric Heavy-Duty Vehicles 27 Nov 2023 · 0 repositories · arXiv:2311.16003
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Data-Driven Modelling for Harmonic Current Emission in Low-Voltage Grid Using MCReSANet with Interpretability Analysis 26 Nov 2023 · 0 repositories · arXiv:2311.15420
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Learning graph-Fourier spectra of textured surface images for defect localization 25 Nov 2023 · 0 repositories · arXiv:2311.15082
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Unveiling The Factors of Aesthetic Preferences with Explainable AI 24 Nov 2023 · 0 repositories · arXiv:2311.14410
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Machine Learning For An Explainable Cost Prediction of Medical Insurance 23 Nov 2023 · 0 repositories · arXiv:2311.14139
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Explaining Deep Learning Models for Age-related Gait Classification based on time series acceleration 20 Nov 2023 · 1 repository · arXiv:2311.12089
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A novel post-hoc explanation comparison metric and applications 17 Nov 2023 · 1 repository · arXiv:2311.10811
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A Hypothesis on Good Practices for AI-based Systems for Financial Time Series Forecasting: Towards Domain-Driven XAI Methods 13 Nov 2023 · 0 repositories · arXiv:2311.07513
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Predicting the First Response Latency of Maintainers and Contributors in Pull Requests 13 Nov 2023 · 0 repositories · arXiv:2311.07786
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Explainable artificial intelligence for Healthcare applications using Random Forest Classifier with LIME and SHAP 9 Nov 2023 · 0 repositories · arXiv:2311.05665
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A Bi-level Framework for Traffic Accident Duration Prediction: Leveraging Weather and Road Condition Data within a Practical Optimum Pipeline 1 Nov 2023 · 0 repositories · arXiv:2311.00634
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Elevating Code-mixed Text Handling through Auditory Information of Words 27 Oct 2023 · 1 repository · arXiv:2310.18155
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How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors? 27 Oct 2023 · 1 repository · arXiv:2310.18496Syntology official (archive's flag): 6 ran · 6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified (of 10 harvested samples) · 10 pointer-only (licence)
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Inside the black box: Neural network-based real-time prediction of US recessions 26 Oct 2023 · 0 repositories · arXiv:2310.17571
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Local Universal Explainer (LUX) -- a rule-based explainer with factual, counterfactual and visual explanations 23 Oct 2023 · 1 repository · arXiv:2310.14894
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The Safety Challenges of Deep Learning in Real-World Type 1 Diabetes Management 23 Oct 2023 · 1 repository · arXiv:2310.14743
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Southern Ocean Dynamics Under Climate Change: New Knowledge Through Physics-Guided Machine Learning 21 Oct 2023 · 1 repository · arXiv:2310.13916
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Enhanced Local Explainability and Trust Scores with Random Forest Proximities 19 Oct 2023 · 0 repositories · arXiv:2310.12428
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Theoretical Evaluation of Asymmetric Shapley Values for Root-Cause Analysis 15 Oct 2023 · 0 repositories · arXiv:2310.09961
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LaPLACE: Probabilistic Local Model-Agnostic Causal Explanations 1 Oct 2023 · 1 repository · arXiv:2310.00570
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Age Group Discrimination via Free Handwriting Indicators 29 Sep 2023 · 0 repositories · arXiv:2309.17156
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Axiomatic Aggregations of Abductive Explanations 29 Sep 2023 · 0 repositories · arXiv:2310.03131
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ONNXExplainer: an ONNX Based Generic Framework to Explain Neural Networks Using Shapley Values 29 Sep 2023 · 0 repositories · arXiv:2309.16916
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Tell Me a Story! Narrative-Driven XAI with Large Language Models 29 Sep 2023 · 1 repository · arXiv:2309.17057
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Sampling - Variational Auto Encoder - Ensemble: In the Quest of Explainable Artificial Intelligence 25 Sep 2023 · 0 repositories · arXiv:2309.14385
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Enhancing Prediction and Analysis of UK Road Traffic Accident Severity Using AI: Integration of Machine Learning, Econometric Techniques, and Time Series Forecasting in Public Health Research 23 Sep 2023 · 0 repositories · arXiv:2309.13483
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Explaining Predictive Uncertainty with Information Theoretic Shapley Values 21 Sep 2023 · 1 repository
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Predictability and Comprehensibility in Post-Hoc XAI Methods: A User-Centered Analysis 21 Sep 2023 · 0 repositories · arXiv:2309.11987
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Trade-off Between Efficiency and Consistency for Removal-based Explanations 21 Sep 2023 · 1 repository
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Can local explanation techniques explain linear additive models? 19 Sep 2023 · 1 repository
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An Explainable Deep-learning Model of Proton Auroras on Mars 15 Sep 2023 · 0 repositories · arXiv:2309.08195
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Cross-tokamak Disruption Prediction based on Physics-Guided Feature Extraction and domain adaptation 11 Sep 2023 · 0 repositories · arXiv:2309.05361
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Computing SHAP Efficiently Using Model Structure Information 5 Sep 2023 · 0 repositories · arXiv:2309.02417
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An explainable three dimension framework to uncover learning patterns: A unified look in variable sulci recognition 2 Sep 2023 · 1 repository · arXiv:2309.00903Syntology official (archive's flag): 5 ran · 5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 5 harvested samples)
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Evaluating Explanation Methods for Multivariate Time Series Classification 29 Aug 2023 · 1 repository · arXiv:2308.15223