Post-hoc explanation of black-box classifiers using confident itemsets

5 May 2020

Papers citing "Post-hoc explanation of black-box classifiers using confident itemsets"

21 / 21 papers shown

Title
Analyzing Factors Influencing Driver Willingness to Accept Advanced Driver Assistance Systems Hannah Musau Nana Kankam Gyimah Judith Mwakalonge G. Comert Saidi Siuhi 36 0 0 23 Feb 2025
Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning Models Tuwe Löfström Fatima Rabia Yapicioglu Alessandra Stramiglio Helena Lofstrom Fabio Vitali FAtt LRM 32 0 0 28 Oct 2024
Ensured: Explanations for Decreasing the Epistemic Uncertainty in Predictions Helena Lofstrom Tuwe Löfström Johan Hallberg Szabadvary 28 0 0 07 Oct 2024
Developing Guidelines for Functionally-Grounded Evaluation of Explainable Artificial Intelligence using Tabular Data M. Velmurugan Chun Ouyang Yue Xu Renuka Sindhgatta B. Wickramanayake Catarina Moreira ELM LMTD XAI 14 0 0 30 Sep 2024
On the Definition of Appropriate Trust and the Tools that Come with it Helena Löfström 11 1 0 21 Sep 2023
Calibrated Explanations for Regression Tuwe Löfström Helena Lofstrom Ulf Johansson Cecilia Sönströd Rudy Matela XAI FAtt 8 2 0 30 Aug 2023
CLIMAX: An exploration of Classifier-Based Contrastive Explanations Praharsh Nanavati Ranjitha Prasad 21 0 0 02 Jul 2023
Calibrated Explanations: with Uncertainty Information and Counterfactuals Helena Lofstrom Tuwe Lofstrom Gregory Rice Cecilia Sonstrod 33 9 0 03 May 2023
Model-agnostic explainable artificial intelligence for object detection in image data M. Moradi Ke Yan David Colwell Matthias Samwald Rhona Asgari AAML 36 7 0 30 Mar 2023
A Survey on Explainable Artificial Intelligence for Cybersecurity Gaith Rjoub Jamal Bentahar Omar Abdel Wahab R. Mizouni Alyssa Song Robin Cohen Hadi Otrok Azzam Mourad 6 27 0 07 Mar 2023
Causality-Aware Local Interpretable Model-Agnostic Explanations Martina Cinquini Riccardo Guidotti CML 31 0 0 10 Dec 2022
ESC-Rules: Explainable, Semantically Constrained Rule Sets Martin Glauer Robert West S. Michie Janna Hastings 8 3 0 26 Aug 2022
Efficient Learning of Interpretable Classification Rules Bishwamittra Ghosh Dmitry Malioutov Kuldeep S. Meel 9 7 0 14 May 2022
A Meta Survey of Quality Evaluation Criteria in Explanation Methods Helena Lofstrom K. Hammar Ulf Johansson XAI 22 11 0 25 Mar 2022
Deep Learning, Natural Language Processing, and Explainable Artificial Intelligence in the Biomedical Domain M. Moradi Matthias Samwald 33 7 0 25 Feb 2022
Visual Exploration of Machine Learning Model Behavior with Hierarchical Surrogate Rule Sets Jun Yuan Brian Barr Kyle Overton E. Bertini 8 8 0 19 Jan 2022
Improving the robustness and accuracy of biomedical language models through adversarial training M. Moradi Matthias Samwald AAML OOD MedIm 31 10 0 16 Nov 2021
Evaluating the Robustness of Neural Language Models to Input Perturbations M. Moradi Matthias Samwald AAML 39 95 0 27 Aug 2021
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey Thomas Rojat Raphael Puget David Filliat Javier Del Ser R. Gelin Natalia Díaz Rodríguez XAI AI4TS 21 126 0 02 Apr 2021
Explaining Black-box Models for Biomedical Text Classification M. Moradi Matthias Samwald 23 21 0 20 Dec 2020
Explaining black-box text classifiers for disease-treatment information extraction M. Moradi Matthias Samwald 32 2 0 21 Oct 2020