Methods › General › Interpretability › LIME › Papers, page 2
Local Interpretable Model-Agnostic Explanations
LIME
Papers archive 2025-07-28
archive papers tagged: 378 · with a code link: 149 · where Syntology ran a sample: 25 (21 with a run with no instrument failure, 4 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (25 of 378 tagged: 21 with a run with no instrument failure, 4 where every run was a failure of Syntology's instrument)
Page 2 of 4: papers 101 to 200 of 378, 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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Comparison of decision trees with Local Interpretable Model-Agnostic Explanations (LIME) technique and multi-linear regression for explaining support vector regression model in terms of root mean square error (RMSE) values 10 Apr 2024 · 0 repositories · arXiv:2404.07046
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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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Stereotype Detection in LLMs: A Multiclass, Explainable, and Benchmark-Driven Approach 2 Apr 2024 · 0 repositories · arXiv:2404.01768
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Explainable AI Integrated Feature Engineering for Wildfire Prediction 1 Apr 2024 · 0 repositories · arXiv:2404.01487
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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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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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Using Stratified Sampling to Improve LIME Image Explanations 26 Mar 2024 · 2 repositories · arXiv:2403.17742
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Sanity Checks for Explanation Uncertainty 25 Mar 2024 · 0 repositories · arXiv:2403.17212
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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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Beyond Pixels: Enhancing LIME with Hierarchical Features and Segmentation Foundation Models 12 Mar 2024 · 1 repository · arXiv:2403.07733
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Probabilistic Lipschitzness and the Stable Rank for Comparing Explanation Models 29 Feb 2024 · 0 repositories · arXiv:2402.18863
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SIDU-TXT: An XAI Algorithm for NLP with a Holistic Assessment Approach 5 Feb 2024 · 0 repositories · arXiv:2402.03043
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Sociolinguistically Informed Interpretability: A Case Study on Hinglish Emotion Classification 5 Feb 2024 · 0 repositories · arXiv:2402.03137
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eXplainable Bayesian Multi-Perspective Generative Retrieval 4 Feb 2024 · 0 repositories · arXiv:2402.02418
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On the Exploitation of DCT-Traces in the Generative-AI Domain 3 Feb 2024 · 1 repository · arXiv:2402.02209
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Dual feature-based and example-based explanation methods 29 Jan 2024 · 1 repository · arXiv:2401.16294
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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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Admission Prediction in Undergraduate Applications: an Interpretable Deep Learning Approach 22 Jan 2024 · 1 repository · arXiv:2401.11698
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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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SLICE: Stabilized LIME for Consistent Explanations for Image Classification 1 Jan 2024 · 1 repository
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KAXAI: An Integrated Environment for Knowledge Analysis and Explainable AI 30 Dec 2023 · 0 repositories · arXiv:2401.00193
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Improving the Accuracy and Interpretability of Neural Networks for Wind Power Forecasting 25 Dec 2023 · 0 repositories · arXiv:2312.15741
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LIME: Localized Image Editing via Attention Regularization in Diffusion Models 14 Dec 2023 · 0 repositories · arXiv:2312.09256
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Facial Emotion Recognition Under Mask Coverage Using a Data Augmentation Technique 3 Dec 2023 · 1 repository · arXiv:2312.01335
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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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Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer Learning Method 1 Dec 2023 · 0 repositories · arXiv:2312.00487
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XAI for time-series classification leveraging image highlight methods 28 Nov 2023 · 0 repositories · arXiv:2311.17110
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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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GLIME: General, Stable and Local LIME Explanation 27 Nov 2023 · 1 repository · arXiv:2311.15722Syntology official (archive's flag): 2 ran · 2 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; 1 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples) · 2 pointer-only (licence)
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CT-xCOV: a CT-scan based Explainable Framework for COVid-19 diagnosis 24 Nov 2023 · 1 repository · arXiv:2311.14462
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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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Explaining black boxes with a SMILE: Statistical Model-agnostic Interpretability with Local Explanations 13 Nov 2023 · 1 repository · arXiv:2311.07286
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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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CrossEAI: Using Explainable AI to generate better bounding boxes for Chest X-ray images 29 Oct 2023 · 0 repositories · arXiv:2310.19835
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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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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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Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations 17 Oct 2023 · 0 repositories · arXiv:2310.11207
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Divorce Prediction with Machine Learning: Insights and LIME Interpretability 12 Oct 2023 · 0 repositories · arXiv:2310.08620
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LIPEx-Locally Interpretable Probabilistic Explanations-To Look Beyond The True Class 7 Oct 2023 · 0 repositories · arXiv:2310.04856
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LaPLACE: Probabilistic Local Model-Agnostic Causal Explanations 1 Oct 2023 · 1 repository · arXiv:2310.00570
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Axiomatic Aggregations of Abductive Explanations 29 Sep 2023 · 0 repositories · arXiv:2310.03131
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An Interpretable Systematic Review of Machine Learning Models for Predictive Maintenance of Aircraft Engine 23 Sep 2023 · 0 repositories · arXiv:2309.13310
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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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Evaluating the Reliability of CNN Models on Classifying Traffic and Road Signs using LIME 11 Sep 2023 · 0 repositories · arXiv:2309.05747
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Can humans help BERT gain "confidence"? 31 Aug 2023 · 0 repositories · arXiv:2309.06580
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Unsupervised discovery of Interpretable Visual Concepts 31 Aug 2023 · 1 repository · arXiv:2309.00018
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Calibrated Explanations for Regression 30 Aug 2023 · 1 repository · arXiv:2308.16245
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On the Interpretability of Quantum Neural Networks 22 Aug 2023 · 1 repository · arXiv:2308.11098
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SurvBeX: An explanation method of the machine learning survival models based on the Beran estimator 7 Aug 2023 · 1 repository · arXiv:2308.03730
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An Explainable Model-Agnostic Algorithm for CNN-based Biometrics Verification 25 Jul 2023 · 0 repositories · arXiv:2307.13428
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Stability Guarantees for Feature Attributions with Multiplicative Smoothing 12 Jul 2023 · 0 repositories · arXiv:2307.05902
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A Novel Explainable Artificial Intelligence Model in Image Classification problem 9 Jul 2023 · 0 repositories · arXiv:2307.04137
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On Formal Feature Attribution and Its Approximation 7 Jul 2023 · 1 repository · arXiv:2307.03380
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Contrast Is All You Need 6 Jul 2023 · 0 repositories · arXiv:2307.02882
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CLIMAX: An exploration of Classifier-Based Contrastive Explanations 2 Jul 2023 · 1 repository · arXiv:2307.00680
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MedNgage: A Dataset for Understanding Engagement in Patient-Nurse Conversations 31 May 2023 · 0 repositories · arXiv:2305.19981
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Explaining Hate Speech Classification with Model Agnostic Methods 30 May 2023 · 0 repositories · arXiv:2306.00021
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Can We Trust Explainable AI Methods on ASR? An Evaluation on Phoneme Recognition 29 May 2023 · 0 repositories · arXiv:2305.18011
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Exploiting Explainability to Design Adversarial Attacks and Evaluate Attack Resilience in Hate-Speech Detection Models 29 May 2023 · 0 repositories · arXiv:2305.18585
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MaNtLE: Model-agnostic Natural Language Explainer 22 May 2023 · 0 repositories · arXiv:2305.12995
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Are Your Explanations Reliable? Investigating the Stability of LIME in Explaining Text Classifiers by Marrying XAI and Adversarial Attack 21 May 2023 · 1 repository · arXiv:2305.12351
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Topological Interpretability for Deep-Learning 15 May 2023 · 1 repository · arXiv:2305.08642
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When a CBR in Hand is Better than Twins in the Bush 9 May 2023 · 0 repositories · arXiv:2305.05111
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PiML Toolbox for Interpretable Machine Learning Model Development and Diagnostics 7 May 2023 · 1 repository · arXiv:2305.04214
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Evaluating Post-hoc Interpretability with Intrinsic Interpretability 4 May 2023 · 0 repositories · arXiv:2305.03002
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A Novel Deep Learning based Model for Erythrocytes Classification and Quantification in Sickle Cell Disease 2 May 2023 · 0 repositories · arXiv:2305.01663
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In-situ surface porosity prediction in DED (directed energy deposition) printed SS316L parts using multimodal sensor fusion 17 Apr 2023 · 0 repositories · arXiv:2304.08658
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A tutorial on the Bayesian statistical approach to inverse problems 15 Apr 2023 · 1 repository · arXiv:2304.07610
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The XAISuite framework and the implications of explanatory system dissonance 15 Apr 2023 · 1 repository · arXiv:2304.08499
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Characterizing the contribution of dependent features in XAI methods 4 Apr 2023 · 1 repository · arXiv:2304.01717
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DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction 2 Mar 2023 · 1 repository · arXiv:2303.01576
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Don't be fooled: label leakage in explanation methods and the importance of their quantitative evaluation 24 Feb 2023 · 0 repositories · arXiv:2302.12893
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The Generalizability of Explanations 23 Feb 2023 · 0 repositories · arXiv:2302.11965
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Using Explainable AI to Cross-Validate Socio-economic Disparities Among Covid-19 Patient Mortality 16 Feb 2023 · 0 repositories · arXiv:2302.08605
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A New cross-domain strategy based XAI models for fake news detection 4 Feb 2023 · 0 repositories · arXiv:2302.02122
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AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models 4 Feb 2023 · 0 repositories · arXiv:2302.02162
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Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability 11 Jan 2023 · 0 repositories · arXiv:2301.04709
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Instance-based Explanations for Gradient Boosting Machine Predictions with AXIL Weights 5 Jan 2023 · 1 repository · arXiv:2301.01864
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Initialization Noise in Image Gradients and Saliency Maps 1 Jan 2023 · 0 repositories
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Rank-LIME: Local Model-Agnostic Feature Attribution for Learning to Rank 24 Dec 2022 · 0 repositories · arXiv:2212.12722
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Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design 17 Dec 2022 · 1 repository · arXiv:2212.08955
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Explainable Machine Learning for Hydrocarbon Prospect Risking 15 Dec 2022 · 0 repositories · arXiv:2212.07563
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Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations 28 Nov 2022 · 0 repositories · arXiv:2211.15143
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Towards Improved Input Masking for Convolutional Neural Networks 26 Nov 2022 · 2 repositories · arXiv:2211.14646
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Comparing Explanation Methods for Traditional Machine Learning Models Part 2: Quantifying Model Explainability Faithfulness and Improvements with Dimensionality Reduction 18 Nov 2022 · 0 repositories · arXiv:2211.10378
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Extending Logic Explained Networks to Text Classification 4 Nov 2022 · 2 repositories · arXiv:2211.09732
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Harnessing the Power of Explanations for Incremental Training: A LIME-Based Approach 2 Nov 2022 · 0 repositories · arXiv:2211.01413
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BOREx: Bayesian-Optimization--Based Refinement of Saliency Map for Image- and Video-Classification Models 31 Oct 2022 · 0 repositories · arXiv:2210.17130
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Scoring Black-Box Models for Adversarial Robustness 31 Oct 2022 · 0 repositories · arXiv:2210.17140
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Human-centered XAI for Burn Depth Characterization 24 Oct 2022 · 0 repositories · arXiv:2210.13535
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Explainable Causal Analysis of Mental Health on Social Media Data 16 Oct 2022 · 1 repository · arXiv:2210.08430
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LIME: Weakly-Supervised Text Classification Without Seeds 13 Oct 2022 · 1 repository · arXiv:2210.06720
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Local Interpretable Model Agnostic Shap Explanations for machine learning models 10 Oct 2022 · 0 repositories · arXiv:2210.04533
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Explainable Verbal Deception Detection using Transformers 6 Oct 2022 · 0 repositories · arXiv:2210.03080
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Analyzing Machine Learning Models for Credit Scoring with Explainable AI and Optimizing Investment Decisions 19 Sep 2022 · 0 repositories · arXiv:2209.09362