Model-Agnostic Interpretability of Machine Learning

16 June 2016

Papers citing "Model-Agnostic Interpretability of Machine Learning"

50 / 88 papers shown

Title
neuralGAM: An R Package for Fitting Generalized Additive Neural Networks Ines Ortega-Fernandez Marta Sestelo 34 0 0 13 May 2025
Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations Dima Alattal Asal Khoshravan Azar P. Myles Richard Branson Hatim Abdulhussein Allan Tucker 29 0 0 10 May 2025
Retrieval Augmented Generation Evaluation for Health Documents Mario Ceresa Lorenzo Bertolini Valentin Comte Nicholas Spadaro Barbara Raffael ... Sergio Consoli Amalia Muñoz Piñeiro Alex Patak Maddalena Querci Tobias Wiesenthal RALM 3DV 39 0 1 07 May 2025
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models Jinxu Lin Linwei Tao Minjing Dong Chang Xu TDI 38 2 0 24 Oct 2024
Time Can Invalidate Algorithmic Recourse Giovanni De Toni Stefano Teso Bruno Lepri Andrea Passerini 37 0 0 10 Oct 2024
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond Shanshan Han 84 1 0 09 Oct 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 67 28 0 30 Aug 2024
A prototype-based model for set classification Mohammad Mohammadi Sreejita Ghosh VLM 106 1 0 25 Aug 2024
CHILLI: A data context-aware perturbation method for XAI Saif Anwar Nathan Griffiths A. Bhalerao T. Popham 35 0 0 10 Jul 2024
Evaluating Human Alignment and Model Faithfulness of LLM Rationale Mohsen Fayyaz Fan Yin Jiao Sun Nanyun Peng 55 3 0 28 Jun 2024
CONFINE: Conformal Prediction for Interpretable Neural Networks Linhui Huang S. Lala N. Jha 68 2 0 01 Jun 2024
Explaining Predictions by Characteristic Rules Amr Alkhatib Henrik Bostrom Michalis Vazirgiannis 16 5 0 31 May 2024
Model Interpretation and Explainability: Towards Creating Transparency in Prediction Models D. Kridel Jacob Dineen Daniel R. Dolk David G. Castillo 21 4 0 31 May 2024
T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients Evandro S. Ortigossa Fábio F. Dias Brian Barr Claudio T. Silva L. G. Nonato FAtt 59 2 0 25 Apr 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 34 1 0 29 Mar 2024
Explainable Learning with Gaussian Processes Kurt Butler Guanchao Feng P. Djuric 31 1 0 11 Mar 2024
Succinct Interaction-Aware Explanations Sascha Xu Joscha Cuppers Jilles Vreeken FAtt 13 0 0 08 Feb 2024
Improving the accuracy of freight mode choice models: A case study using the 2017 CFS PUF data set and ensemble learning techniques Diyi Liu Hyeonsup Lim M. Uddin Yuandong Liu Lee D. Han Ho-Ling Hwang Shih-Miao Chin 11 0 0 01 Feb 2024
Validation, Robustness, and Accuracy of Perturbation-Based Sensitivity Analysis Methods for Time-Series Deep Learning Models Zhengguang Wang 9 0 0 29 Jan 2024
Is K-fold cross validation the best model selection method for Machine Learning? Juan M Gorriz F. Segovia J. Ramírez A. Ortiz J. Suckling 39 17 0 29 Jan 2024
Black-Box Access is Insufficient for Rigorous AI Audits Stephen Casper Carson Ezell Charlotte Siegmann Noam Kolt Taylor Lynn Curtis ... Michael Gerovitch David Bau Max Tegmark David M. Krueger Dylan Hadfield-Menell AAML 34 78 0 25 Jan 2024
Real-time Neural Network Inference on Extremely Weak Devices: Agile Offloading with Explainable AI Kai Huang Wei Gao 15 35 0 21 Dec 2023
Toward enriched Cognitive Learning with XAI M. Nizami Ulrike Kuhl J. Alonso-Moral Alessandro Bogliolo 24 1 0 19 Dec 2023
Towards Interpretable Classification of Leukocytes based on Deep Learning S. Röhrl Johannes Groll M. Lengl Simon Schumann C. Klenk D. Heim Martin Knopp Oliver Hayden Klaus Diepold 25 2 0 24 Nov 2023
Intriguing Properties of Data Attribution on Diffusion Models Xiaosen Zheng Tianyu Pang Chao Du Jing Jiang Min-Bin Lin TDI 34 20 1 01 Nov 2023
XAI-CLASS: Explanation-Enhanced Text Classification with Extremely Weak Supervision Daniel Hajialigol Hanwen Liu Xuan Wang VLM 21 5 0 31 Oct 2023
Text2Topic: Multi-Label Text Classification System for Efficient Topic Detection in User Generated Content with Zero-Shot Capabilities Fengjun Wang Moran Beladev Ofri Kleinfeld Elina Frayerman Tal Shachar Eran Fainman Karen Lastmann Assaraf Sarai Mizrachi Benjamin Wang VLM 10 8 0 23 Oct 2023
Making informed decisions in cutting tool maintenance in milling: A KNN-based model agnostic approach Aditya M. Rahalkar Om M. Khare A. Patange Abhishek D. Patange Rohan N. Soman 13 1 0 23 Oct 2023
Explainable Depression Symptom Detection in Social Media Eliseo Bao Souto Anxo Perez Javier Parapar 27 5 0 20 Oct 2023
Natural Example-Based Explainability: a Survey Antonin Poché Lucas Hervier M. Bakkay XAI 26 11 0 05 Sep 2023
TRIVEA: Transparent Ranking Interpretation using Visual Explanation of Black-Box Algorithmic Rankers Jun Yuan Kaustav Bhattacharjee A. Islam Aritra Dasgupta 18 2 0 28 Aug 2023
Software Doping Analysis for Human Oversight Sebastian Biewer Kevin Baum Sarah Sterz Holger Hermanns Sven Hetmank Markus Langer Anne Lauber-Rönsberg Franz Lehr 25 4 0 11 Aug 2023
Designing Explainable Predictive Machine Learning Artifacts: Methodology and Practical Demonstration Giacomo Welsch Peter Kowalczyk 25 1 0 20 Jun 2023
Explaining black box text modules in natural language with language models Chandan Singh Aliyah R. Hsu Richard Antonello Shailee Jain Alexander G. Huth Bin-Xia Yu Jianfeng Gao MILM 26 46 0 17 May 2023
Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK L. Nannini Agathe Balayn A. Smith 19 37 0 20 Apr 2023
Multi-resolution Interpretation and Diagnostics Tool for Natural Language Classifiers P. Jalali Nengfeng Zhou Yufei Yu AAML 28 0 0 06 Mar 2023
Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations Max Schemmer Niklas Kühl Carina Benz Andrea Bartos G. Satzger 21 97 0 04 Feb 2023
Case-Base Neural Networks: survival analysis with time-varying, higher-order interactions Jesse Islam M. Turgeon R. Sladek S. Bhatnagar CML 21 0 0 16 Jan 2023
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations Angelos Chatzimparmpas R. Martins I. Jusufi K. Kucher Fabrice Rossi A. Kerren FAtt 24 160 0 22 Dec 2022
(Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification Yu Qiao Xiaofei Li Daniel Wiechmann E. Kerz 19 4 0 19 Dec 2022
"Explain it in the Same Way!" -- Model-Agnostic Group Fairness of Counterfactual Explanations André Artelt Barbara Hammer FaML 22 8 0 27 Nov 2022
A Detailed Study of Interpretability of Deep Neural Network based Top Taggers Ayush Khot Mark S. Neubauer Avik Roy AAML 33 16 0 09 Oct 2022
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification Adrien Bennetot Gianni Franchi Javier Del Ser Raja Chatila Natalia Díaz Rodríguez AAML 27 29 0 26 Sep 2022
Making the black-box brighter: interpreting machine learning algorithm for forecasting drilling accidents E. Gurina Nikita Klyuchnikov Ksenia Antipova D. Koroteev FAtt 25 8 0 06 Sep 2022
Data Science and Machine Learning in Education G. Benelli Thomas Y. Chen Javier Mauricio Duarte Matthew Feickert Matthew Graham ... K. Terao S. Thais A. Roy J. Vlimant G. Chachamis AI4CE 26 5 0 19 Jul 2022
How Platform-User Power Relations Shape Algorithmic Accountability: A Case Study of Instant Loan Platforms and Financially Stressed Users in India Divya Ramesh Vaishnav Kameswaran Ding-wen Wang Nithya Sambasivan 22 35 0 11 May 2022
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations Aparna Balagopalan Haoran Zhang Kimia Hamidieh Thomas Hartvigsen Frank Rudzicz Marzyeh Ghassemi 38 77 0 06 May 2022
Should I Follow AI-based Advice? Measuring Appropriate Reliance in Human-AI Decision-Making Max Schemmer Patrick Hemmer Niklas Kühl Carina Benz G. Satzger 12 56 0 14 Apr 2022
EEG based Emotion Recognition: A Tutorial and Review Xiang Li Yazhou Zhang Prayag Tiwari D. Song Bin Hu Meihong Yang Zhigang Zhao Neeraj Kumar Pekka Marttinen 23 248 0 16 Mar 2022
Counterfactual Explanations for Predictive Business Process Monitoring Tsung-Hao Huang Andreas Metzger Klaus Pohl 19 19 0 24 Feb 2022