Methods › General › Interpretability › SHAP › Papers, page 5

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 5 of 6: papers 401 to 500 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.

• PhilaeX: Explaining the Failure and Success of AI Models in Malware Detection
  2 Jul 2022 · 0 repositories · arXiv:2207.00740
• Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions
  24 Jun 2022 · 0 repositories · arXiv:2206.12481
• Machine Learning in Sports: A Case Study on Using Explainable Models for Predicting Outcomes of Volleyball Matches
  18 Jun 2022 · 0 repositories · arXiv:2206.09258
• On the Bias-Variance Characteristics of LIME and SHAP in High Sparsity Movie Recommendation Explanation Tasks
  9 Jun 2022 · 0 repositories · arXiv:2206.04784
• Balanced background and explanation data are needed in explaining deep learning models with SHAP: An empirical study on clinical decision making
  8 Jun 2022 · 1 repository · arXiv:2206.04050
• Do We Need Another Explainable AI Method? Toward Unifying Post-hoc XAI Evaluation Methods into an Interactive and Multi-dimensional Benchmark
  8 Jun 2022 · 1 repository · arXiv:2207.14160
• Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations
  2 Jun 2022 · 1 repository · arXiv:2206.01254
• Attribution-based Explanations that Provide Recourse Cannot be Robust
  31 May 2022 · 0 repositories · arXiv:2205.15834
• Fool SHAP with Stealthily Biased Sampling
  30 May 2022 · 1 repository · arXiv:2205.15419
• Unfooling Perturbation-Based Post Hoc Explainers
  29 May 2022 · 1 repository · arXiv:2205.14772
  Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
• Deletion and Insertion Tests in Regression Models
  25 May 2022 · 1 repository · arXiv:2205.12423
  Syntology 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
• The Solvability of Interpretability Evaluation Metrics
  18 May 2022 · 1 repository · arXiv:2205.08696
• On Generalisability of Machine Learning-based Network Intrusion Detection Systems
  9 May 2022 · 0 repositories · arXiv:2205.04112
• Explainable multi-class anomaly detection on functional data
  3 May 2022 · 0 repositories · arXiv:2205.02935
• Explainable Artificial Intelligence for Bayesian Neural Networks: Towards trustworthy predictions of ocean dynamics
  30 Apr 2022 · 1 repository · arXiv:2205.00202
  Syntology 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, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
• Identifying Critical LMS Features for Predicting At-risk Students
  27 Apr 2022 · 0 repositories · arXiv:2204.13700
• An empirical study of the effect of background data size on the stability of SHapley Additive exPlanations (SHAP) for deep learning models
  24 Apr 2022 · 1 repository · arXiv:2204.11351
• Feature visualization for convolutional neural network models trained on neuroimaging data
  24 Mar 2022 · 0 repositories · arXiv:2203.13120
• Explainable Machine Learning for Predicting Homicide Clearance in the United States
  9 Mar 2022 · 0 repositories · arXiv:2203.04768
• Robustness and Usefulness in AI Explanation Methods
  7 Mar 2022 · 0 repositories · arXiv:2203.03729
• Approximating a deep reinforcement learning docking agent using linear model trees
  1 Mar 2022 · 0 repositories · arXiv:2203.00369
• Explainable deepfake and spoofing detection: an attack analysis using SHapley Additive exPlanations
  28 Feb 2022 · 1 repository · arXiv:2202.13693
• Double-Barreled Question Detection at Momentive
  12 Feb 2022 · 0 repositories · arXiv:2203.03545
• Machine Learning Aided Holistic Handover Optimization for Emerging Networks
  6 Feb 2022 · 0 repositories · arXiv:2202.02851
• Hierarchical Shrinkage: improving the accuracy and interpretability of tree-based methods
  2 Feb 2022 · 2 repositories · arXiv:2202.00858
  Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples)
• Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap
  27 Jan 2022 · 2 repositories · arXiv:2201.11676
• Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework
  19 Jan 2022 · 0 repositories · arXiv:2201.07849
• McXai: Local model-agnostic explanation as two games
  4 Jan 2022 · 0 repositories · arXiv:2201.01044
• Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes?
  25 Dec 2021 · 0 repositories · arXiv:2112.13210
• Explainable Signature-based Machine Learning Approach for Identification of Faults in Grid-Connected Photovoltaic Systems
  25 Dec 2021 · 0 repositories · arXiv:2112.14842
• More Than Words: Towards Better Quality Interpretations of Text Classifiers
  23 Dec 2021 · 0 repositories · arXiv:2112.12444
• Explanation of Machine Learning Models Using Shapley Additive Explanation and Application for Real Data in Hospital
  21 Dec 2021 · 0 repositories · arXiv:2112.11071
• A prediction-based approach for online dynamic patient scheduling: a case study in radiotherapy treatment
  16 Dec 2021 · 0 repositories · arXiv:2112.08549
• Utilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation(SHAP)
  14 Dec 2021 · 0 repositories · arXiv:2112.08442
• Explainable predictions of different machine learning algorithms used to predict Early Stage diabetes
  18 Nov 2021 · 0 repositories · arXiv:2111.09939
• Scrutinizing XAI using linear ground-truth data with suppressor variables
  14 Nov 2021 · 1 repository · arXiv:2111.07473
  Syntology official (archive's flag): 8 ran · 8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 8 harvested samples)
• Interpreting BERT architecture predictions for peptide presentation by MHC class I proteins
  13 Nov 2021 · 1 repository · arXiv:2111.07137
• What goes on inside rumour and non-rumour tweets and their reactions: A Psycholinguistic Analyses
  9 Nov 2021 · 0 repositories · arXiv:2112.03003
• Causal versus Marginal Shapley Values for Robotic Lever Manipulation Controlled using Deep Reinforcement Learning
  4 Nov 2021 · 0 repositories · arXiv:2111.02936
• Decision Support Models for Predicting and Explaining Airport Passenger Connectivity from Data
  2 Nov 2021 · 0 repositories · arXiv:2111.01915
• Diagnosing Data from ICTs to Provide Focused Assistance in Agricultural Adoptions
  29 Oct 2021 · 0 repositories · arXiv:2111.00052
• On the explainability of hospitalization prediction on a large COVID-19 patient dataset
  28 Oct 2021 · 0 repositories · arXiv:2110.15002
• Counterfactual Shapley Additive Explanations
  27 Oct 2021 · 2 repositories · arXiv:2110.14270
  Syntology official (archive's flag): 1 ran · 11 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 0 honoured, 0 violated, 11 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 13 harvested samples)
• Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set
  26 Oct 2021 · 1 repository · arXiv:2110.13369
• Provably Robust Model-Centric Explanations for Critical Decision-Making
  26 Oct 2021 · 0 repositories · arXiv:2110.13937
• Lexicon Creation for Interpretable NLP Models
  16 Oct 2021 · 0 repositories
• Robotic Lever Manipulation using Hindsight Experience Replay and Shapley Additive Explanations
  7 Oct 2021 · 0 repositories · arXiv:2110.03292
• Shapley variable importance clouds for interpretable machine learning
  6 Oct 2021 · 1 repository · arXiv:2110.02484
• Fast TreeSHAP: Accelerating SHAP Value Computation for Trees
  20 Sep 2021 · 1 repository · arXiv:2109.09847
  Syntology 0 ran · 1 unverified (of 1 harvested sample) · 1 pointer-only (licence)
• Global and Local Interpretation of black-box Machine Learning models to determine prognostic factors from early COVID-19 data
  10 Sep 2021 · 1 repository · arXiv:2109.05087
• Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemic
  16 Aug 2021 · 1 repository · arXiv:2108.10735
• Data-driven advice for interpreting local and global model predictions in bioinformatics problems
  13 Aug 2021 · 0 repositories · arXiv:2108.06201
• Realised Volatility Forecasting: Machine Learning via Financial Word Embedding
  1 Aug 2021 · 0 repositories · arXiv:2108.00480
• Multi-objective optimization and explanation for stroke risk assessment in Shanxi province
  29 Jul 2021 · 0 repositories · arXiv:2107.14060
• Feature Synergy, Redundancy, and Independence in Global Model Explanations using SHAP Vector Decomposition
  26 Jul 2021 · 1 repository · arXiv:2107.12436
  Syntology official (archive's flag): 4 ran · 4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 4 harvested samples)
• Predicting Driver Takeover Time in Conditionally Automated Driving
  20 Jul 2021 · 0 repositories · arXiv:2107.09545
• Attribution of Predictive Uncertainties in Classification Models
  19 Jul 2021 · 1 repository · arXiv:2107.08756
• Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff
  12 Jul 2021 · 1 repository · arXiv:2107.05693
  Syntology official (archive's flag): 4 ran · 4 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified (of 5 harvested samples) · 5 pointer-only (licence)
• Does Dataset Complexity Matters for Model Explainers?
  6 Jul 2021 · 1 repository · arXiv:2107.02661
• A Decision Support System for Safer Airplane Landings: Predicting Runway Conditions Using XGBoost and Explainable AI
  1 Jul 2021 · 0 repositories · arXiv:2107.04010
• Semantic Reasoning from Model-Agnostic Explanations
  29 Jun 2021 · 0 repositories · arXiv:2106.15433
• Synthetic Benchmarks for Scientific Research in Explainable Machine Learning
  23 Jun 2021 · 1 repository · arXiv:2106.12543
  Syntology official (archive's flag): 4 ran · 4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 4 harvested samples)
• Interpretable Machine Learning Classifiers for Brain Tumour Survival Prediction
  17 Jun 2021 · 0 repositories · arXiv:2106.09424
• An Imprecise SHAP as a Tool for Explaining the Class Probability Distributions under Limited Training Data
  16 Jun 2021 · 1 repository · arXiv:2106.09111
• Developing a Fidelity Evaluation Approach for Interpretable Machine Learning
  16 Jun 2021 · 1 repository · arXiv:2106.08492
• mSHAP: SHAP Values for Two-Part Models
  16 Jun 2021 · 1 repository · arXiv:2106.08990
• To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods
  1 Jun 2021 · 1 repository · arXiv:2106.00461
  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) · 1 unverified (of 2 harvested samples) · 2 pointer-only (licence)
• Understanding peacefulness through the world news
  1 Jun 2021 · 1 repository · arXiv:2106.00306
• Evaluating the Correctness of Explainable AI Algorithms for Classification
  20 May 2021 · 0 repositories · arXiv:2105.09740
• Explainable Activity Recognition for Smart Home Systems
  20 May 2021 · 0 repositories · arXiv:2105.09787
• Quantified Sleep: Machine learning techniques for observational n-of-1 studies
  14 May 2021 · 1 repository · arXiv:2105.06811
• XAI Handbook: Towards a Unified Framework for Explainable AI
  14 May 2021 · 0 repositories · arXiv:2105.06677
• A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data
  13 May 2021 · 1 repository · arXiv:2105.06141
• What's wrong with this video? Comparing Explainers for Deepfake Detection
  12 May 2021 · 0 repositories · arXiv:2105.05902
• Comparing interpretability and explainability for feature selection
  11 May 2021 · 0 repositories · arXiv:2105.05328
• Explainable Artificial Intelligence for Human Decision-Support System in Medical Domain
  5 May 2021 · 0 repositories · arXiv:2105.02357
• Winter wheat yield prediction using convolutional neural networks from environmental and phenological data
  4 May 2021 · 0 repositories · arXiv:2105.01282
• TrustyAI Explainability Toolkit
  26 Apr 2021 · 1 repository · arXiv:2104.12717
• Interpretation of multi-label classification models using shapley values
  21 Apr 2021 · 1 repository · arXiv:2104.10505
• Beyond Outlier Detection: Outlier Interpretation by Attention-Guided Triplet Deviation Network
  19 Apr 2021 · 1 repository
• Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection
  15 Apr 2021 · 0 repositories · arXiv:2104.07183
• Fast Hierarchical Games for Image Explanations
  13 Apr 2021 · 1 repository · arXiv:2104.06164
• Towards a Rigorous Evaluation of Explainability for Multivariate Time Series
  6 Apr 2021 · 0 repositories · arXiv:2104.04075
• Volume-Centred Range Bars: Novel Interpretable Representation of Financial Markets Designed for Machine Learning Applications
  23 Mar 2021 · 0 repositories · arXiv:2103.12419
• Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals
  22 Mar 2021 · 0 repositories · arXiv:2103.11972
• Understanding Heart-Failure Patients EHR Clinical Features via SHAP Interpretation of Tree-Based Machine Learning Model Predictions
  20 Mar 2021 · 1 repository · arXiv:2103.11254
• A new interpretable unsupervised anomaly detection method based on residual explanation
  14 Mar 2021 · 0 repositories · arXiv:2103.07953
• Explaining Network Intrusion Detection System Using Explainable AI Framework
  12 Mar 2021 · 0 repositories · arXiv:2103.07110
• Ensembles of Random SHAPs
  4 Mar 2021 · 0 repositories · arXiv:2103.03302
• Predicting Driver Fatigue in Automated Driving with Explainability
  3 Mar 2021 · 0 repositories · arXiv:2103.02162
• Combat COVID-19 Infodemic Using Explainable Natural Language Processing Models
  1 Mar 2021 · 0 repositories · arXiv:2103.00747
• Explainable AI in Credit Risk Management
  1 Mar 2021 · 0 repositories · arXiv:2103.00949
• Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning
  28 Feb 2021 · 0 repositories · arXiv:2103.00370
• An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery
  23 Feb 2021 · 0 repositories · arXiv:2102.11848
• Towards Better Explanations of Class Activation Mapping
  10 Feb 2021 · 1 repository · arXiv:2102.05228
• Explainable Reinforcement Learning for Longitudinal Control
  6 Feb 2021 · 1 repository
• Computing the Hazard Ratios Associated with Explanatory Variables Using Machine Learning Models of Survival Data
  1 Feb 2021 · 1 repository · arXiv:2102.00637
• Better sampling in explanation methods can prevent dieselgate-like deception
  26 Jan 2021 · 1 repository · arXiv:2101.11702
• How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations
  21 Jan 2021 · 0 repositories · arXiv:2101.08758
• On the Granularity of Explanations in Model Agnostic NLP Interpretability
  24 Dec 2020 · 1 repository · arXiv:2012.13189