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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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Improving Operator Situation Awareness when Working with AI Recommender Systems Divya K. Srivastava J. Lilly Karen Feigh 13 1 0 17 Oct 2023
A Mass-Conserving-Perceptron for Machine Learning-Based Modeling of Geoscientific Systems Yuan-Heng Wang Hoshin V. Gupta AI4CE 94 6 0 12 Oct 2023
From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer Md. Rezaul Karim Lina Molinas Comet Md. Shajalal Oya Beyan Dietrich-Rebholz Schuhmann Stefan Decker 83 8 0 12 Oct 2023
ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning Wang Lu Hao Yu Jindong Wang Damien Teney Haohan Wang Yiqiang Chen Qiang Yang Xing Xie Xiangyang Ji 97 8 0 08 Oct 2023
Fair Feature Importance Scores for Interpreting Tree-Based Methods and Surrogates Camille Olivia Little Debolina Halder Lina Genevera I. Allen 95 1 0 06 Oct 2023
Introducing the Attribution Stability Indicator: a Measure for Time Series XAI Attributions U. Schlegel Daniel A. Keim AI4TS 92 1 0 06 Oct 2023
Lessons Learned from EXMOS User Studies: A Technical Report Summarizing Key Takeaways from User Studies Conducted to Evaluate The EXMOS Platform Aditya Bhattacharya Simone Stumpf Lucija Gosak Gregor Stiglic K. Verbert 73 6 0 03 Oct 2023
Active Learning on Neural Networks through Interactive Generation of Digit Patterns and Visual Representation D. H. Jeong Jin-Hee Cho Feng Chen A. Jøsang Soo-Yeon Ji 20 0 0 02 Oct 2023
Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals Y. Gat Nitay Calderon Amir Feder Alexander Chapanin Amit Sharma Roi Reichart 133 36 0 01 Oct 2023
Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities Jiaoyan Chen Hang Dong Janna Hastings Ernesto Jiménez-Ruiz Vanessa Lopez Pierre Monnin Catia Pesquita Petr vSkoda Valentina A. M. Tamma 90 12 0 29 Sep 2023
Reliability Quantification of Deep Reinforcement Learning-based Control Hitoshi Yoshioka Hirotada Hashimoto 53 0 0 29 Sep 2023
Explaining Deep Face Algorithms through Visualization: A Survey Thrupthi Ann S. M. I. C. V. Balasubramanian M. Jawahar CVBM 59 1 0 26 Sep 2023
An AI Chatbot for Explaining Deep Reinforcement Learning Decisions of Service-oriented Systems Andreas Metzger Jon Bartel Jan Laufer 51 3 0 25 Sep 2023
Limits of Actor-Critic Algorithms for Decision Tree Policies Learning in IBMDPs Hector Kohler R. Akrour Philippe Preux OffRL 74 1 0 23 Sep 2023
Predictability and Comprehensibility in Post-Hoc XAI Methods: A User-Centered Analysis Anahid N. Jalali Bernhard Haslhofer Simone Kriglstein Andreas Rauber FAtt 97 5 0 21 Sep 2023
A Comprehensive Review on Financial Explainable AI Wei Jie Yeo Wihan van der Heever Rui Mao Min Zhang Ranjan Satapathy G. Mengaldo XAI AI4TS 88 18 0 21 Sep 2023
On the Definition of Appropriate Trust and the Tools that Come with it Helena Löfström 48 1 0 21 Sep 2023
3D Face Reconstruction: the Road to Forensics Simone Maurizio La Cava G. Orrú Martin Drahansky G. L. Marcialis Fabio Roli CVBM 3DH 59 11 0 20 Sep 2023
How Do Analysts Understand and Verify AI-Assisted Data Analyses? Ken Gu Ruoxi Shang Tim Althoff Chenglong Wang Steven Drucker AAML 81 28 0 19 Sep 2023
The role of causality in explainable artificial intelligence Gianluca Carloni Andrea Berti Sara Colantonio CML XAI 77 12 0 18 Sep 2023
Learning by Self-Explaining Wolfgang Stammer Felix Friedrich David Steinmann Manuel Brack Hikaru Shindo Kristian Kersting 138 12 0 15 Sep 2023
Interpretability is in the Mind of the Beholder: A Causal Framework for Human-interpretable Representation Learning Emanuele Marconato Andrea Passerini Stefano Teso 95 17 0 14 Sep 2023
Verifiable Fairness: Privacy-preserving Computation of Fairness for Machine Learning Systems Ehsan Toreini M. Mehrnezhad Aad van Moorsel 60 5 0 12 Sep 2023
Postprocessing of Ensemble Weather Forecasts Using Permutation-invariant Neural Networks Kevin Höhlein Benedikt Schulz Rüdiger Westermann Sebastian Lerch 77 14 0 08 Sep 2023
Beyond XAI:Obstacles Towards Responsible AI Yulu Pi 86 2 0 07 Sep 2023
Deep Learning and Inverse Problems A. Mohammad-Djafari Ning Chu Li Wang Lianggeng Yu AI4CE BDL PINN 77 0 0 02 Sep 2023
Declarative Reasoning on Explanations Using Constraint Logic Programming Laura State Salvatore Ruggieri Franco Turini LRM 25 1 0 01 Sep 2023
Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond Sidra Nasir Rizwan Ahmed Khan Samita Bai 78 33 0 31 Aug 2023
Unsupervised discovery of Interpretable Visual Concepts Caroline Mazini Rodrigues Nicolas Boutry Laurent Najman FAtt 49 2 0 31 Aug 2023
Calibrated Explanations for Regression Tuwe Löfström Helena Lofstrom Ulf Johansson Cecilia Sönströd Rudy Matela XAI FAtt 61 2 0 30 Aug 2023
Ensemble of Counterfactual Explainers Riccardo Guidotti Salvatore Ruggieri CML 72 8 0 29 Aug 2023
Probabilistic Dataset Reconstruction from Interpretable Models Julien Ferry Ulrich Aïvodji Sébastien Gambs Marie-José Huguet Mohamed Siala 51 5 0 29 Aug 2023
On the Interpretability of Quantum Neural Networks Lirande Pira C. Ferrie FAtt 64 18 0 22 Aug 2023
Tweet Sentiment Extraction using Viterbi Algorithm with Transfer Learning Zied Baklouti 32 0 0 11 Aug 2023
A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-objective Optimization Ya-Wen Huang Zherui Zhang Ao Jiao Yuxin Ma Ran Cheng 61 6 0 10 Aug 2023
Explainable AI applications in the Medical Domain: a systematic review Nicoletta Prentzas A. Kakas Constantinos S. Pattichis 69 11 0 10 Aug 2023
SurvBeX: An explanation method of the machine learning survival models based on the Beran estimator Lev V. Utkin Danila Eremenko A. Konstantinov 75 5 0 07 Aug 2023
$Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities$ Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities Genevera I. Allen Luqin Gan Lili Zheng 89 9 0 02 Aug 2023
Using Kernel SHAP XAI Method to optimize the Network Anomaly Detection Model Khushnaseeb Roshan Aasim Zafar 66 17 0 31 Jul 2023
Toward Transparent Sequence Models with Model-Based Tree Markov Model Chan Hsu Wei-Ping Huang Jun-Ting Wu Chih-Yuan Li Yihuang Kang 56 0 0 28 Jul 2023
Counterfactual Explanations for Graph Classification Through the Lenses of Density Carlo Abrate Giulia Preti Francesco Bonchi 46 1 0 27 Jul 2023
The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers Meike Nauta Christin Seifert 99 12 0 26 Jul 2023
Revisiting the Performance-Explainability Trade-Off in Explainable Artificial Intelligence (XAI) Barnaby Crook Maximilian Schluter Timo Speith 78 17 0 26 Jul 2023
Statistical Mechanics of Learning via Reverberation in Bidirectional Associative Memories M. Centonze Ido Kanter Adriano Barra 46 3 0 17 Jul 2023
Visual Explanations with Attributions and Counterfactuals on Time Series Classification U. Schlegel Daniela Oelke Daniel A. Keim Mennatallah El-Assady AI4TS FAtt 90 4 0 14 Jul 2023
Assessment of the suitability of degradation models for the planning of CCTV inspections of sewer pipes Fidae El Morer Stefan H. A. Wittek Andreas Rausch 35 3 0 12 Jul 2023
Large Language Models Michael R Douglas LLMAG LM&MA 172 645 0 11 Jul 2023
Learning Active Subspaces and Discovering Important Features with Gaussian Radial Basis Functions Neural Networks D. D’Agostino Ilija Ilievski C. Shoemaker 35 5 0 11 Jul 2023
A Deep Dive into Perturbations as Evaluation Technique for Time Series XAI U. Schlegel Daniel A. Keim AAML AI4TS 108 9 0 11 Jul 2023
A User Study on Explainable Online Reinforcement Learning for Adaptive Systems Andreas Metzger Jan Laufer Felix Feit Klaus Pohl OffRL OnRL 64 1 0 09 Jul 2023