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A Survey Of Methods For Explaining Black Box Models

6 February 2018

Papers citing "A Survey Of Methods For Explaining Black Box Models"

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Title
Region-specific Risk Quantification for Interpretable Prognosis of COVID-19 Zhusi Zhong Jie Li Zhuoqi Ma Scott Collins Harrison X. Bai Paul J Zhang Terrance Healey Xinbo Gao Michael Atalay Zhicheng Jiao 42 0 0 05 May 2024
Explainable Interface for Human-Autonomy Teaming: A Survey Xiangqi Kong Yang Xing Antonios Tsourdos Ziyue Wang Weisi Guo Adolfo Perrusquía Andreas Wikander 76 4 0 04 May 2024
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model Weiqi Zhang Jiexia Ye Ke Yi Yongzi Yu Ziyue Li Jia Li Fugee Tsung AI4TS AI4CE 92 29 0 03 May 2024
When a Relation Tells More Than a Concept: Exploring and Evaluating Classifier Decisions with CoReX Bettina Finzel Patrick Hilme Johannes Rabold Ute Schmid 109 1 0 02 May 2024
Statistics and explainability: a fruitful alliance Valentina Ghidini 51 0 0 30 Apr 2024
Rad4XCNN: a new agnostic method for post-hoc global explanation of CNN-derived features by means of radiomics Francesco Prinzi C. Militello Calogero Zarcaro T. Bartolotta Salvatore Gaglio Salvatore Vitabile 43 2 0 26 Apr 2024
Fiper: a Visual-based Explanation Combining Rules and Feature Importance Eleonora Cappuccio D. Fadda Rosa Lanzilotti Salvatore Rinzivillo FAtt 68 1 0 25 Apr 2024
CA-Stream: Attention-based pooling for interpretable image recognition Felipe Torres Hanwei Zhang R. Sicre Stéphane Ayache Yannis Avrithis 77 1 0 23 Apr 2024
A Neuro-Symbolic Explainer for Rare Events: A Case Study on Predictive Maintenance João Gama Rita P. Ribeiro S. Mastelini Narjes Davarid Bruno Veloso 38 1 0 21 Apr 2024
A Guide to Feature Importance Methods for Scientific Inference F. K. Ewald Ludwig Bothmann Marvin N. Wright B. Bischl Giuseppe Casalicchio Gunnar Konig 60 11 0 19 Apr 2024
Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop Hector Kohler Quentin Delfosse Paul Festor Philippe Preux 117 0 0 16 Apr 2024
Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda Johannes Schneider 131 35 0 15 Apr 2024
Observation-specific explanations through scattered data approximation Valentina Ghidini Michael Multerer Jacopo Quizi Rohan Sen FAtt 26 1 0 12 Apr 2024
Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models Marvin Pafla Kate Larson Mark Hancock 66 7 0 11 Apr 2024
Differential Privacy for Anomaly Detection: Analyzing the Trade-off Between Privacy and Explainability Fatima Ezzeddine Mirna Saad Omran Ayoub Davide Andreoletti M. Gjoreski Ihab Sbeity Marc Langheinrich Silvia Giordano 50 3 0 09 Apr 2024
Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set Guilherme Seidyo Imai Aldeia Fabrício Olivetti de França 89 10 0 08 Apr 2024
Decision Predicate Graphs: Enhancing Interpretability in Tree Ensembles Leonardo Arrighi Luca Pennella G. Tavares Sylvio Barbon Junior 66 2 0 03 Apr 2024
Procedural Fairness in Machine Learning Ziming Wang Changwu Huang Xin Yao FaML 77 2 0 02 Apr 2024
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures Thanh Tam Nguyen T. T. Huynh Zhao Ren Thanh Toan Nguyen Phi Le Nguyen Hongzhi Yin Quoc Viet Hung Nguyen 166 8 0 31 Mar 2024
Automatic explanation of the classification of Spanish legal judgments in jurisdiction-dependent law categories with tree estimators Jaime González-González Francisco de Arriba-Pérez Silvia García-Méndez Andrea Busto-Castiñeira Francisco J. González Castaño AILaw ELM 88 6 0 30 Mar 2024
Segmentation, Classification and Interpretation of Breast Cancer Medical Images using Human-in-the-Loop Machine Learning David Vázquez-Lema E. Mosqueira-Rey Elena Hernández-Pereira Carlos Fernández-Lozano Fernando Seara-Romera Jorge Pombo-Otero LM&MA 71 1 0 29 Mar 2024
Using Stratified Sampling to Improve LIME Image Explanations Muhammad Rashid E. Amparore Enrico Ferrari Damiano Verda FAtt 47 3 0 26 Mar 2024
Neural Clustering based Visual Representation Learning Guikun Chen Xia Li Yi Yang Wenguan Wang SSL 102 10 0 26 Mar 2024
PE: A Poincare Explanation Method for Fast Text Hierarchy Generation Qian Chen Dongyang Li Xiaofeng He Hongzhao Li Hongyu Yi 67 0 0 25 Mar 2024
Learning To Guide Human Decision Makers With Vision-Language Models Debodeep Banerjee Stefano Teso Burcu Sayin Andrea Passerini 108 1 0 25 Mar 2024
Gradient based Feature Attribution in Explainable AI: A Technical Review Yongjie Wang Tong Zhang Xu Guo Zhiqi Shen XAI 72 25 0 15 Mar 2024
XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization Yequan Bie Luyang Luo Zhixuan Chen Hao Chen 76 7 0 14 Mar 2024
Large Language Models and Causal Inference in Collaboration: A Survey Xiaoyu Liu Paiheng Xu Junda Wu Jiaxin Yuan Yifan Yang ... Haoliang Wang Tong Yu Julian McAuley Wei Ai Furong Huang ELM LRM 132 30 0 14 Mar 2024
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers Francesco Dibitonto Fabio Garcea Andre' Panisson Alan Perotti Lia Morra AAML 52 0 0 13 Mar 2024
A Survey of Explainable Knowledge Tracing Yanhong Bai Jiabao Zhao Tingjiang Wei Qing Cai Liang He 60 6 0 12 Mar 2024
Axe the X in XAI: A Plea for Understandable AI Andrés Páez 91 0 0 01 Mar 2024
Multi-stakeholder Perspective on Responsible Artificial Intelligence and Acceptability in Education A. Karran Patrick Charland J-T. Martineau Ana Ortiz de Guinea Annemarie Lesage S. Sénécal Pierre-Majorique Léger 95 5 0 22 Feb 2024
InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks Somnath Banerjee Maulindu Sarkar Punyajoy Saha Binny Mathew Animesh Mukherjee TDI 59 0 0 22 Feb 2024
Exploring ChatGPT for Next-generation Information Retrieval: Opportunities and Challenges Yizheng Huang Jimmy X. Huang 116 11 0 17 Feb 2024
On Explaining Unfairness: An Overview Christos Fragkathoulas Vasiliki Papanikou Danae Pla Karidi E. Pitoura XAI FaML 82 4 0 16 Feb 2024
Explaining Probabilistic Models with Distributional Values Luca Franceschi Michele Donini Cédric Archambeau Matthias Seeger FAtt 93 2 0 15 Feb 2024
Sparse and Faithful Explanations Without Sparse Models Yiyang Sun Zhi Chen Vittorio Orlandi Tong Wang Cynthia Rudin 76 3 0 15 Feb 2024
Eliciting Personality Traits in Large Language Models Airlie Hilliard Cristian Muñoz Zekun Wu Adriano Soares Koshiyama 53 11 0 13 Feb 2024
Multimodal Interpretable Data-Driven Models for Early Prediction of Antimicrobial Multidrug Resistance Using Multivariate Time-Series Sergio Martínez-Aguero Antonio G. Marques Inmaculada Mora-Jiménez Joaquín Alvárez-Rodríguez Cristina Soguero-Ruiz 49 0 0 09 Feb 2024
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems Clara Punzi Roberto Pellungrini Mattia Setzu F. Giannotti D. Pedreschi 76 6 0 09 Feb 2024
Example-based Explanations for Random Forests using Machine Unlearning Tanmay Surve Romila Pradhan FaML FAtt 51 3 0 07 Feb 2024
SIDU-TXT: An XAI Algorithm for NLP with a Holistic Assessment Approach M. N. Jahromi Satya M. Muddamsetty Asta Sofie Stage Jarlner Anna Murphy Hogenhaug Thomas Gammeltoft-Hansen T. Moeslund 103 3 0 05 Feb 2024
XAI-CF -- Examining the Role of Explainable Artificial Intelligence in Cyber Forensics Shahid Alam Zeynep Altıparmak 68 3 0 04 Feb 2024
EXMOS: Explanatory Model Steering Through Multifaceted Explanations and Data Configurations Aditya Bhattacharya Simone Stumpf Lucija Gosak Gregor Stiglic K. Verbert 93 23 0 01 Feb 2024
Outline of an Independent Systematic Blackbox Test for ML-based Systems H. Wiesbrock Jürgen Grossmann 58 0 0 30 Jan 2024
Bridging Human Concepts and Computer Vision for Explainable Face Verification Miriam Doh Caroline Mazini Rodrigues Nicolas Boutry Laurent Najman M. Mancas H. Bersini CVBM 50 1 0 30 Jan 2024
A Cross-Language Investigation into Jailbreak Attacks in Large Language Models Jie Li Yi Liu Chongyang Liu Ling Shi Xiaoning Ren Yaowen Zheng Yang Liu Yinxing Xue AAML 101 27 0 30 Jan 2024
Dissecting users' needs for search result explanations Prerna Juneja Wenjuan Zhang Alison Smith-Renner Hemank Lamba Joel R. Tetreault Alex Jaimes FAtt 56 5 0 29 Jan 2024
Dual feature-based and example-based explanation methods A. Konstantinov Boris V. Kozlov Stanislav R. Kirpichenko Lev V. Utkin FAtt 105 0 0 29 Jan 2024
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research Sicong Cao Xiaobing Sun Ratnadira Widyasari David Lo Xiaoxue Wu ... Jiale Zhang Bin Li Wei Liu Di Wu Yixin Chen 143 8 0 26 Jan 2024