Methods › General › Interpretability › SHAP › Papers, page 4

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 4 of 6: papers 301 to 400 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.

• Glocal Explanations of Expected Goal Models in Soccer
  29 Aug 2023 · 1 repository · arXiv:2308.15559
• Uncertainty and Explainable Analysis of Machine Learning Model for Reconstruction of Sonic Slowness Logs
  24 Aug 2023 · 0 repositories · arXiv:2308.12625
• Approximating Score-based Explanation Techniques Using Conformal Regression
  23 Aug 2023 · 0 repositories · arXiv:2308.11975
• Dynamic landslide susceptibility mapping over recent three decades to uncover variations in landslide causes in subtropical urban mountainous areas
  23 Aug 2023 · 1 repository · arXiv:2308.11929
• Can we Agree? On the Rashōmon Effect and the Reliability of Post-Hoc Explainable AI
  14 Aug 2023 · 0 repositories · arXiv:2308.07247
• Applied metamodelling for ATM performance simulations
  7 Aug 2023 · 0 repositories · arXiv:2308.03404
• Retrieval-based Text Selection for Addressing Class-Imbalanced Data in Classification
  27 Jul 2023 · 0 repositories · arXiv:2307.14899
• Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case
  24 Jul 2023 · 0 repositories · arXiv:2307.12903
• Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations?
  23 Jul 2023 · 1 repository · arXiv:2307.12344
• Conditional expectation network for SHAP
  20 Jul 2023 · 0 repositories · arXiv:2307.10654
• Alioth: A Machine Learning Based Interference-Aware Performance Monitor for Multi-Tenancy Applications in Public Cloud
  18 Jul 2023 · 1 repository · arXiv:2307.08949
• Guiding Discovery of Protein Sequence-Structure-Function Modeling
  16 Jul 2023 · 1 repository
• On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations
  13 Jul 2023 · 0 repositories · arXiv:2307.06941
• Stability Guarantees for Feature Attributions with Multiplicative Smoothing
  12 Jul 2023 · 0 repositories · arXiv:2307.05902
• Empowering recommender systems using automatically generated Knowledge Graphs and Reinforcement Learning
  11 Jul 2023 · 1 repository · arXiv:2307.04996
• SHAP@k:Efficient and Probably Approximately Correct (PAC) Identification of Top-k Features
  10 Jul 2023 · 0 repositories · arXiv:2307.04850
• On Formal Feature Attribution and Its Approximation
  7 Jul 2023 · 1 repository · arXiv:2307.03380
• Queer People are People First: Deconstructing Sexual Identity Stereotypes in Large Language Models
  30 Jun 2023 · 0 repositories · arXiv:2307.00101
• Classification and Explanation of Distributed Denial-of-Service (DDoS) Attack Detection using Machine Learning and Shapley Additive Explanation (SHAP) Methods
  27 Jun 2023 · 0 repositories · arXiv:2306.17190
• A Protocol for Continual Explanation of SHAP
  12 Jun 2023 · 1 repository · arXiv:2306.07218
• Employing Explainable Artificial Intelligence (XAI) Methodologies to Analyze the Correlation between Input Variables and Tensile Strength in Additively Manufactured Samples
  28 May 2023 · 0 repositories · arXiv:2305.18426
• Multi-modal Machine Learning for Vehicle Rating Predictions Using Image, Text, and Parametric Data
  24 May 2023 · 0 repositories · arXiv:2305.15218
• Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps
  16 May 2023 · 2 repositories · arXiv:2305.09399
• Unwrapping All ReLU Networks
  16 May 2023 · 0 repositories · arXiv:2305.09424
• Topological Interpretability for Deep-Learning
  15 May 2023 · 1 repository · arXiv:2305.08642
• When a CBR in Hand is Better than Twins in the Bush
  9 May 2023 · 0 repositories · arXiv:2305.05111
• A Novel Deep Learning based Model for Erythrocytes Classification and Quantification in Sickle Cell Disease
  2 May 2023 · 0 repositories · arXiv:2305.01663
• ALMERIA: Boosting pairwise molecular contrasts with scalable methods
  28 Apr 2023 · 0 repositories · arXiv:2305.13254
• Interpreting Vision and Language Generative Models with Semantic Visual Priors
  28 Apr 2023 · 0 repositories · arXiv:2304.14986
• Explainable AI Insights for Symbolic Computation: A case study on selecting the variable ordering for cylindrical algebraic decomposition
  24 Apr 2023 · 0 repositories · arXiv:2304.12154
• The XAISuite framework and the implications of explanatory system dissonance
  15 Apr 2023 · 1 repository · arXiv:2304.08499
• Retention Is All You Need
  6 Apr 2023 · 0 repositories · arXiv:2304.03103
• Characterizing the contribution of dependent features in XAI methods
  4 Apr 2023 · 1 repository · arXiv:2304.01717
• Derivative-based Shapley value for global sensitivity analysis and machine learning explainability
  24 Mar 2023 · 0 repositories · arXiv:2303.15183
• Adversarial Robustness and Feature Impact Analysis for Driver Drowsiness Detection
  23 Mar 2023 · 0 repositories · arXiv:2303.13649
• TsSHAP: Robust model agnostic feature-based explainability for time series forecasting
  22 Mar 2023 · 0 repositories · arXiv:2303.12316
• Towards Real-World Applications of Personalized Anesthesia Using Policy Constraint Q Learning for Propofol Infusion Control
  17 Mar 2023 · 0 repositories · arXiv:2303.10180
• WebSHAP: Towards Explaining Any Machine Learning Models Anywhere
  16 Mar 2023 · 2 repositories · arXiv:2303.09545
• Interpretable Ensembles of Hyper-Rectangles as Base Models
  15 Mar 2023 · 1 repository · arXiv:2303.08625
• Efficient Computation of Shap Explanation Scores for Neural Network Classifiers via Knowledge Compilation
  11 Mar 2023 · 1 repository · arXiv:2303.06516
• Analysis and Evaluation of Explainable Artificial Intelligence on Suicide Risk Assessment
  9 Mar 2023 · 0 repositories · arXiv:2303.06052
• A Notion of Feature Importance by Decorrelation and Detection of Trends by Random Forest Regression
  2 Mar 2023 · 0 repositories · arXiv:2303.01156
• Don't be fooled: label leakage in explanation methods and the importance of their quantitative evaluation
  24 Feb 2023 · 0 repositories · arXiv:2302.12893
• K-SHAP: Policy Clustering Algorithm for Anonymous Multi-Agent State-Action Pairs
  23 Feb 2023 · 0 repositories · arXiv:2302.11996
  Syntology 3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified (of 4 harvested samples) · 4 pointer-only (licence)
• Using Explainable AI to Cross-Validate Socio-economic Disparities Among Covid-19 Patient Mortality
  16 Feb 2023 · 0 repositories · arXiv:2302.08605
• An Order-Invariant and Interpretable Hierarchical Dilated Convolution Neural Network for Chemical Fault Detection and Diagnosis
  13 Feb 2023 · 0 repositories · arXiv:2302.06243
• Explainable artificial intelligence toward usable and trustworthy computer-aided early diagnosis of multiple sclerosis from Optical Coherence Tomography
  13 Feb 2023 · 0 repositories · arXiv:2302.06613
• Using SHAP Values and Machine Learning to Understand Trends in the Transient Stability Limit
  13 Feb 2023 · 0 repositories · arXiv:2302.06274
• A New cross-domain strategy based XAI models for fake news detection
  4 Feb 2023 · 0 repositories · arXiv:2302.02122
• ChatGPT or Human? Detect and Explain. Explaining Decisions of Machine Learning Model for Detecting Short ChatGPT-generated Text
  30 Jan 2023 · 0 repositories · arXiv:2301.13852
• Feature construction using explanations of individual predictions
  23 Jan 2023 · 0 repositories · arXiv:2301.09631
• Instance-based Explanations for Gradient Boosting Machine Predictions with AXIL Weights
  5 Jan 2023 · 1 repository · arXiv:2301.01864
• Exploring Machine Learning Techniques to Identify Important Factors Leading to Injury in Curve Related Crashes
  4 Jan 2023 · 0 repositories · arXiv:2301.01771
• Initialization Noise in Image Gradients and Saliency Maps
  1 Jan 2023 · 0 repositories
• A Study of Left Before Treatment Complete Emergency Department Patients: An Optimized Explanatory Machine Learning Framework
  22 Dec 2022 · 0 repositories · arXiv:2212.11879
• Impossibility Theorems for Feature Attribution
  22 Dec 2022 · 1 repository · arXiv:2212.11870
  Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
• Interpretability and causal discovery of the machine learning models to predict the production of CBM wells after hydraulic fracturing
  21 Dec 2022 · 0 repositories · arXiv:2212.10718
• Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design
  17 Dec 2022 · 1 repository · arXiv:2212.08955
• Shapley variable importance cloud for machine learning models
  16 Dec 2022 · 0 repositories · arXiv:2212.08370
• Machine Learning Framework: Competitive Intelligence and Key Drivers Identification of Market Share Trends Among Healthcare Facilities
  9 Dec 2022 · 0 repositories · arXiv:2212.04810
• Understanding electricity prices beyond the merit order principle using explainable AI
  9 Dec 2022 · 0 repositories · arXiv:2212.04805
• Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration
  6 Dec 2022 · 0 repositories · arXiv:2212.03373
• Latent SHAP: Toward Practical Human-Interpretable Explanations
  27 Nov 2022 · 0 repositories · arXiv:2211.14797
• Explainability of Traditional and Deep Learning Models on Longitudinal Healthcare Records
  22 Nov 2022 · 0 repositories · arXiv:2211.12002
• 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
• Machine Learning-Assisted Recurrence Prediction for Early-Stage Non-Small-Cell Lung Cancer Patients
  17 Nov 2022 · 0 repositories · arXiv:2211.09856
• Comparing Explanation Methods for Traditional Machine Learning Models Part 1: An Overview of Current Methods and Quantifying Their Disagreement
  16 Nov 2022 · 0 repositories · arXiv:2211.08943
• Using explainability to design physics-aware CNNs for solving subsurface inverse problems
  16 Nov 2022 · 0 repositories · arXiv:2211.08651
• Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning
  11 Nov 2022 · 1 repository · arXiv:2211.06376
• Reconstruction and analysis of negatively buoyant jets with interpretable machine learning
  10 Nov 2022 · 0 repositories · arXiv:2211.05489
• A k-additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning
  3 Nov 2022 · 1 repository · arXiv:2211.02166
• eXplainable AI for Quantum Machine Learning
  2 Nov 2022 · 0 repositories · arXiv:2211.01441
• Machine learning can guide experimental approaches for protein digestibility estimations
  1 Nov 2022 · 0 repositories · arXiv:2211.00625
• BOREx: Bayesian-Optimization--Based Refinement of Saliency Map for Image- and Video-Classification Models
  31 Oct 2022 · 0 repositories · arXiv:2210.17130
• Explainable Predictive Decision Mining for Operational Support
  30 Oct 2022 · 1 repository · arXiv:2210.16786
• Estimating oil recovery factor using machine learning: Applications of XGBoost classification
  28 Oct 2022 · 0 repositories · arXiv:2210.16345
• Explanations Based on Item Response Theory (eXirt): A Model-Specific Method to Explain Tree-Ensemble Model in Trust Perspective
  18 Oct 2022 · 3 repositories · arXiv:2210.09933
• TEFL: Turbo Explainable Federated Learning for 6G Trustworthy Zero-Touch Network Slicing
  18 Oct 2022 · 0 repositories · arXiv:2210.10147
• Application of Explainable Machine Learning in Detecting and Classifying Ransomware Families Based on API Call Analysis
  16 Oct 2022 · 0 repositories · arXiv:2210.11235
• Local Interpretable Model Agnostic Shap Explanations for machine learning models
  10 Oct 2022 · 0 repositories · arXiv:2210.04533
• Feature Importance for Time Series Data: Improving KernelSHAP
  5 Oct 2022 · 0 repositories · arXiv:2210.02176
• Diagnosis of Parkinson's Disease Based on Voice Signals Using SHAP and Hard Voting Ensemble Method
  3 Oct 2022 · 1 repository · arXiv:2210.01205
• Understanding Interventional TreeSHAP : How and Why it Works
  29 Sep 2022 · 1 repository · arXiv:2209.15123
• Analyzing Machine Learning Models for Credit Scoring with Explainable AI and Optimizing Investment Decisions
  19 Sep 2022 · 0 repositories · arXiv:2209.09362
• Sample-based Uncertainty Quantification with a Single Deterministic Neural Network
  17 Sep 2022 · 0 repositories · arXiv:2209.08418
• Detection of Interacting Variables for Generalized Linear Models via Neural Networks
  16 Sep 2022 · 0 repositories · arXiv:2209.08030
• Studying the explanations for the automated prediction of bug and non-bug issues using LIME and SHAP
  15 Sep 2022 · 0 repositories · arXiv:2209.07623
• Interpretable Machine Learning for Power Systems: Establishing Confidence in SHapley Additive exPlanations
  13 Sep 2022 · 0 repositories · arXiv:2209.05793
• Seeking Interpretability and Explainability in Binary Activated Neural Networks
  7 Sep 2022 · 0 repositories · arXiv:2209.03450
• Representation Learning based and Interpretable Reactor System Diagnosis Using Denoising Padded Autoencoder
  30 Aug 2022 · 0 repositories · arXiv:2208.14319
• Interpretable (not just posthoc-explainable) medical claims modeling for discharge placement to prevent avoidable all-cause readmissions or death
  28 Aug 2022 · 0 repositories · arXiv:2208.12814
• Augmented cross-selling through explainable AI -- a case from energy retailing
  24 Aug 2022 · 0 repositories · arXiv:2208.11404
• MechProNet: Machine Learning Prediction of Mechanical Properties in Metal Additive Manufacturing
  21 Aug 2022 · 0 repositories · arXiv:2209.12605
• Statistical Aspects of SHAP: Functional ANOVA for Model Interpretation
  21 Aug 2022 · 1 repository · arXiv:2208.09970
• An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury
  13 Aug 2022 · 1 repository · arXiv:2208.06717
• Unifying local and global model explanations by functional decomposition of low dimensional structures
  12 Aug 2022 · 2 repositories · arXiv:2208.06151
• Explanation of Machine Learning Models of Colon Cancer Using SHAP Considering Interaction Effects
  5 Aug 2022 · 0 repositories · arXiv:2208.03112
• Psychophysiological Arousal in Young Children Who Stutter: An Interpretable AI Approach
  3 Aug 2022 · 1 repository · arXiv:2208.08859
• SHAP for additively modeled features in a boosted trees model
  29 Jul 2022 · 0 repositories · arXiv:2207.14490
• Shapley Computations Using Surrogate Model-Based Trees
  11 Jul 2022 · 0 repositories · arXiv:2207.05214