Shapley Additive Explanations

Ask about this topic

Momentum

4 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

Jul 6Week of Sep 21
View on map

Latest papers 44

All topics
CardsList

  1. Reasoning Externalization for Faithful Large Language Model Narratives of Stock Return Predictions

    Sep 30, 2026Sujung Kim, Seung Hwan Cho, Sangjin Park +1Large Language Model ForecastingShapley Additive Explanations

    Department of Industrial Data Engineering, Hanyang University, Republic of Korea · School of Interdisciplinary Industrial Studies, Hanyang University, Republic of Korea

  2. When Explanations Cannot Be Read: Measuring and Correcting SHAP and LIME Rendering for Right-to-Left Languages

    Sep 23, 2026Rameesha Zia, Muhammad Shahid Iqbal MalikExplainable AI MethodsShapley Additive Explanations

    School of Computing Sciences, Pak-Austria Fachhochschule, Institute of Applied Sciences and Technology, Haripur 22620, Pakistan

  3. Evaluating Explanation Methods by the Predictors They Induce

    Sep 17, 2026Jacob Selbæk, Hugo L. HammerShapley Additive ExplanationsExplainable AI Methods

    Department of Computer Science, Oslo Metropolitan University, Oslo, Norway · Department of Holistic Systems, SimulaMet, Oslo, Norway · Department of Plastic and Reconstructive Surgery, Oslo University Hospital, Oslo, Norway

  4. DynSHAP: Towards Explainable Dynamic Survival Analysis

    Sep 14, 2026Nastasya Anokhina, Jonas Jür\ss, Pietro LiòShapley Additive ExplanationsSurvival Analysis

    University of Cambridge

  5. A Computationally Feasible Framework for Causal Probabilistic Explanation

    Sep 3, 2026Rafal Urbaniak, Sam Witty, Daniel Waxman +7Causal ReasoningCausal Modeling

    Basis Research Institute · Sorbus AI · Massachusetts Institute of Technology +3

  6. CAS: A Causal Attribution Score for Local and Global Explainable Artificial Intelligence

    Aug 12, 2026Michael Georgiades, Charalambia VarnavaShapley Additive ExplanationsShapley Value

    Department of Computer Science Neapolis University Pafos Cyprus · CaSToRC The Cyprus Institute Nicosia, Cyprus

  7. RelShap: Relationally Consistent Shapley Explanations

    Aug 11, 2026Seungeun Lee, Joao Fonseca, Julia StoyanovichShapley Additive ExplanationsShapley Value

    New York University, New York, USA · INESC-ID, Lisbon, Portugal

  8. Dueling Deep Q-Learning for Intrusion Detection

    Aug 11, 2026Logan Luna, Matthew P. Berkowitz, Laxima Niure Kandel +1Intrusion DetectionDeep Q-Networks

    Georgia Institute of Technology · Department of Electrical Engineering and Computer Science Embry-Riddle Aeronautical University Daytona Beach, USA · School of Computer Science, College of Computing, Georgia Institute of Technology, Atlanta, GA 30332 USA +1

  9. Evaluating Machine Learning Models for Post-Wildfire Debris-Flow Prediction

    Aug 5, 2026Quinn Ledingham, Zhengsen Xu, Yimin Zhu +6Wildfire PredictionRainfall

    Department of Geomatics Engineering, University of Calgary, Calgary, AB, Canada

  10. Model-Agnostic FDR Control via Group Gaussian Mirror and Permutation SHAP

    Aug 2, 2026Jiaan Han, Junxiao Chen, Yanzhe FuFeature ImportanceFalse Discovery Rate

    Columbia Business School Columbia University · Department of Statistics University of Hong Kong

  11. Interpretable machine learning for predicting splitting strength of asphalt concrete: insights from SHAP analysis

    Aug 2, 2026Jianglei Xing, Xiao Tan, Dongzhao Jin +3Shapley Additive ExplanationsPavement

    College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, Jiangsu, 210024, China · State Key Laboratory of Water Disaster Prevention, Nanjing, Jiangsu, 210024, China · Department of Civil, Environmental, and Geospatial Engineering, Michigan Technological University, Houghton, Michigan, 49931, United States +3

  12. Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling

    Jul 20, 2026Saleh Valizadeh Sotubadi, Nazanin Mahjourian, Vinh NguyenFeature SelectionShapley Additive Explanations

    Department of Mechanical and Aerospace Engineering, Michigan Technological University, 1400 Townsend Drive, Houghton, 49931, MI, USA.

  13. Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis

    Jul 19, 2026Maede Azani Hassan Abadi, Shouyi WangAir PollutionRespiratory Sound Classification

    Department of Industrial, Manufacturing, & Systems Engineering, The University of Texas at Arlington

  14. Explaining Process Control Optimisation Recommendations via GradientSHAP and Implicit Differentiation

    Jul 16, 2026Paul Darm, Cem Alpturk, Kenneth Ulrich +3Shapley Additive ExplanationsPrompt Optimization

    University of Strathclyde, Glasgow, United Kingdom · Weir, Malmö, Sweden · Weir, Glasgow, United Kingdom

  15. Local Additive Feature Attribution: A Mathematical Taxonomy and Reporting Checklist

    Jul 15, 2026Rebecca Afriyie Sarpong, Daniel CommeyShapley Additive ExplanationsExplainable Artificial Intelligence

  16. SHARC: SHAP-Based Interpretability in Machine Learning Risk Models for Regulatory Capital under ICAAP and CCAR

    Jul 6, 2026Ujjwala VadrevuShapley Additive ExplanationsRegulation

  17. Adaptive Group-Based Counterfactual Explanations for Time-Series Rehabilitation Data

    Jul 2, 2026Emmanuel C. Chukwu, Rianne M. Schouten, Monique Tabak +1Counterfactual ExplanationRehabilitation

    Eindhoven University of Technology Eindhoven, the Netherlands · University of Twente Enschede, the Netherlands

  18. Profit-Based Counterfactual Explanations for Product Improvement: A Case Study of Manga Sales in Japan

    Jul 2, 2026Keita Kinjo, Takeshi EbinaCounterfactual ExplanationShapley Additive Explanations

    Faculty of Business Studies, Kyoritsu Women’s University, 2-2-1, Hitotsubashi, Chiyoda-ku, Tokyo, 101-8437, Japan · School of Commerce, Meiji University, 1-1, Kanda-surugadai, Chiyoda-ku, Tokyo, 101-8301, Japan

  19. Shapley in Context: Explaining Financial Language with Domain Expertise

    Jul 1, 2026Dangxing Chen, Pengzhan GuoShapley Additive ExplanationsExplainability

    Zu Chongzhi Center, Duke Kunshan University, Kunshan, Jiangsu, CN · Digital Innovation Research Center, Duke Kunshan University, Kunshan, Jiangsu, CN

  20. Decision-Value Attribution in Predict-then-Optimize Systems

    Jun 29, 2026Konstantinos Ziliaskopoulos, Alexander Vinel, Alice E. SmithShapley Additive Explanations

    Auburn University, Industrial & Systems Engineering, 36849, Auburn, AL, USA · University of Alabama, Mechanical Engineering & Computer Science, 35487, Tuscaloosa, AL, USA

  21. OperatorSHAP: Fast and Accurate Shapley Value Estimation for Neural Operators

    Jun 26, 2026Joshua Stiller, Santo M. A. R. Thies, Felix Czaja +1Shapley Additive ExplanationsShapley Value

    LMU Munich, MCML · LMU Munich · LMU Munich, MCML, DFKI

  22. The Unseen Hand: Manipulating Model Fairness and SHAP with Targeted Identity Re-Association Attacks

    Jun 22, 2026Sannaan Khan, Muhammad U. S. KhanFairness AuditsShapley Additive Explanations

    National University of AbstractSciences and Technology (NUST)

  23. An approach with Visual and Tabular Mamba to multimodal medical data using Mixed Fusion

    Jun 17, 2026Matheus B. Rocha, Gustavo B. Dettogni, Renato A. KrohlingMultimodal Clinical DataCancer Detection

    Labcin - Nature Inspired Computing Lab, Federal University of Espírito Santo, Vitória, Brazil · PPGI - Graduate Program in Computer Science, Federal University of Espírito Santo, Vitória, Brazil

  24. Analysing drivers and interdependencies in European electricity markets using XAI

    Jun 17, 2026Antoine Pesenti, Aidan O'SullivanElectricity MarketsShapley Additive Explanations

    UCL Energy Institute, University College London, UK

  25. P2^2CE: Model-Agnostic Plausible Pareto-Optimal Counterfactual Explanations

    Jun 16, 2026Arthur Hendricks Mendes de Oliveira, Giovani Valdrighi, Marcos Medeiros RaimundoCounterfactual ExplanationShapley Additive Explanations

    Instituto de Computa¸c˜ao, Universidade Estadual de Campinas, Albert Einstein Avenue, Campinas, 13083-889, S˜ao Paulo, Brazil.

  26. Feature Attribution in Directed Acyclic Graphs Using Edge Intervention

    Jun 13, 2026Qiheng Sun, Junxu Liu, Xiaokai Mao +4Shapley Additive ExplanationsCausal Graph

    The Hong Kong Polytechnic University, Hong Kong, China · Zhejiang University, Hangzhou, China · University of Illinois Urbana-Champaign, Urbana, USA

  27. Interpretable Factor Decomposition for Decision Intelligence in Large-Scale Financial Markets: Evidence from China's A-Share Market

    Jun 11, 2026Xiao Han, Yao Xiao, Zhen Zhang +1Shapley Additive ExplanationsExploratory Factor Analysis

    Goizueta Business School Emory University Atlanta, GA, USA · College of Computing Georgia Institute of Technology Atlanta, GA, USA · School of Data Science University of Pennsylvania Philadelphia, PA, USA +1

  28. Generative Explainability for Next-Generation Networks: LLM-Augmented XAI with Mutual Feature Interactions

    Jun 9, 2026Kiarash Rezaei, Omran Ayoub, Sebastian Troia +3Explainable Artificial IntelligenceXai

    Department of Electrical Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden · University of Applied Sciences and Arts of Southern Switzerland, 6928 Lugano, Switzerland · Politecnico di Milano, 20133 Milan, Italy +1

  29. Beyond Additive Decompositions: Interpretability Through Separability

    May 29, 2026Jinyang Liu, Munir Eberhardt HiabuShapley Additive ExplanationsInterpretability

    Department of Mathematical Sciences, University of Copenhagen, Denmark.

  30. XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT

    May 28, 2026Ambreen Aslam, Maaz Hassan, Bibi Zahra +1Intrusion DetectionInternet Of Thing

    School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan

  31. Electricity Consumption Forecasting: An Approach Using Cooperative Ensemble Learning with SHapley Additive exPlanations

    May 25, 2026Eduardo Luiz Alba, Gilson Adamczuk Oliveira, Matheus Henrique Dal Molin Ribeiro +1Electricity Price ForecastingShapley Additive Explanations

    Industrial & Systems Engineering Graduate Program (PPGEPS), Federal University of Technology-Parana (UTFPR), Via do Conhecimento, KM 0l—Fraron, Pato Branco 85503-390, PR, Brazil

  32. Verified SHAP: Provable Bounds for Exact Shapley Values of Neural Networks

    May 22, 2026David Boetius, Shahaf Bassan, Guy Katz +2Shapley ValueShapley Additive Explanations

    University of Konstanz, Konstanz, Germany · Hebrew University of Jerusalem, Jerusalem, Israel · University of St.Gallen, St.Gallen, Switzerland.

  33. Generalized Functional ANOVA in Closed-Form: A Unified View of Additive Explanations

    May 18, 2026Baptiste Ferrere, Nicolas Bousquet, Fabrice Gamboa +1Shapley Additive ExplanationsExplainability

    EDF R&D, SINCLAIR Lab · Université de Toulouse · Sorbonne Université +2

  34. RoSHAP: A Distributional Framework and Robust Metric for Stable Feature Attribution

    May 14, 2026Lanxin Xiang, Liang Shi, Youhui Ye +3Shapley Additive ExplanationsModel-Based Bootstrap

    Department of Statistics Virginia Tech · Department of Statistics Virginia Tech Transportation Institute · Department of Computer Science Virginia Tech

  35. A New Technique for AI Explainability using Feature Association Map

    May 12, 2026Sayantani Ghosh, Amit Kumar Das, Amlan ChakrabartiXaiExplainability

    1DBS Bank. · Institute of Engineering & Management. · 1,2,3University of Calcutta.

  36. Is Data Shapley Not Better than Random in Data Selection? Ask NASH

    May 11, 2026Xiao Tian, Jue Fan, Rachael Hwee Ling Sim +3Alignment-Aware SelectionShapley Value

    Department of Computer Science, National University of Singapore, Singapore · Agency for Science, Technology and Research (A*STAR), Singapore

  37. GRALIS: A Unified Canonical Framework for Linear Attribution Methods via Riesz Representation

    May 6, 2026Raimondo FanaleShapley Additive ExplanationsGradient-Weighted Class Activation Mapping

    Universitas Mercatorum, Rome, Italy.

  38. Social Determinants of Health and Fentanyl Overdose Mortality Across US Counties: An XGBoost and SHAP Analysis Identifying Silent Risk Counties and Treatment Deserts

    May 6, 2026Kabi Raj Tiruwa, Abhisan Ghimire, Anuj Kumar ShahShapley Additive Explanations

    Clark University · Clark University, 910 Main St, Worcester, 01610, MA, USA. · Yeshiva University +1

  39. Physiologically Grounded Driver Behavior Classification: SHAP-Driven Elite Feature Selection and Hybrid Gradient Boosting for Multimodal Physiological Signals

    May 6, 2026Sahar Askari, Mohammad Mahdi Mirza Ali Mohammadi, Fatemeh Ensafdoust +2Physiological SignalsSurface Electromyography

    Department of Computer Science and Engineering Shiraz University Shiraz, Iran · Department of Electrical Engineering Iran University of Science and Technology Tehran, Iran · Department of Computer Engineering Islamic Azad University, Rasht Branch Rasht, Iran +2

  40. Quadrature-TreeSHAP: Depth-Independent TreeSHAP and Shapley Interactions

    May 6, 2026Ron Wettenstein, Rory Mitchell, Peng YuShapley Additive ExplanationsTree Ensembles

    Reichman University, Herzliya, Israel · Nvidia Corporation · Shopify

  41. Enhancing RL Generalizability in Robotics through SHAP Analysis of Algorithms and Hyperparameters

    May 4, 2026Lingxiao Kong, Cong Yang, Oya Deniz Beyan +1Shapley Additive ExplanationsHyperparameter

    Fraunhofer Institute for Applied Information Technology FIT, Germany · Soochow University, China · University of Cologne, Germany +1

  42. Explainable Load Forecasting with Covariate-Informed Time Series Foundation Models

    Apr 30, 2026Matthias Hertel, Alexandra Nikoltchovska, Sebastian Pütz +3Accurate Short-Term Electricity Load ForecastingTime Series Foundation Models

    Karlsruhe Institute of Technology, Karlsruhe, Germany

  43. Interpretable Physics-Informed Load Forecasting for U.S. Grid Resilience: SHAP-Guided Ensemble Validation in Hybrid Deep Learning Under Extreme Weather

    Apr 26, 2026Md Abubakkar, Sajib Debnath, Md. Uzzal MiaAccurate Short-Term Electricity Load ForecastingShapley Additive Explanations

    Dept. of Computer Science, Midwestern State University, Dallas, TX, USA · O&M Analytics, AES Clean Energy, The AES Corporation, Louisville, CO, USA · Dept. of Information and Communication Engineering, Pabna University of Science and Technology, Bangladesh

  44. From Scoring to Explanations: Evaluating SHAP and LLM Rationales for Rubric-based Teaching Quality Assessment

    Apr 18, 2026Ivo Bueno, Babette Bühler, Philipp Stark +5Rubric-Based ScoringFree-Form Textual Rationales

    1Technical University of Munich · 2Munich Center for Machine Learning (MCML) · 3Lund University +3