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2005.01992
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Post-hoc explanation of black-box classifiers using confident itemsets
Expert systems with applications (ESWA), 2020
5 May 2020
M. Moradi
Matthias Samwald
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Papers citing
"Post-hoc explanation of black-box classifiers using confident itemsets"
22 / 22 papers shown
Who Benefits from AI Explanations? Towards Accessible and Interpretable Systems
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Akriti Pandey
Ahsan Zaman
Peter R. Lewis
136
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0
14 Aug 2025
Analyzing Factors Influencing Driver Willingness to Accept Advanced Driver Assistance Systems
Hannah Musau
Nana Kankam Gyimah
Judith Mwakalonge
G. Comert
Saidi Siuhi
336
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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
286
1
0
28 Oct 2024
Ensured: Explanations for Decreasing the Epistemic Uncertainty in Predictions
Helena Lofstrom
Tuwe Löfström
Johan Hallberg Szabadvary
272
1
0
07 Oct 2024
Developing Guidelines for Functionally-Grounded Evaluation of Explainable Artificial Intelligence using Tabular Data
M. Velmurugan
Chun Ouyang
Yue Xu
Prerna Agarwal
B. Wickramanayake
Catarina Moreira
ELM
LMTD
XAI
249
3
0
30 Sep 2024
On the Definition of Appropriate Trust and the Tools that Come with it
Helena Löfström
200
3
0
21 Sep 2023
Calibrated Explanations for Regression
Machine-mediated learning (ML), 2023
Tuwe Löfström
Helena Lofstrom
Ulf Johansson
Cecilia Sönströd
Rudy Matela
XAI
FAtt
370
6
0
30 Aug 2023
CLIMAX: An exploration of Classifier-Based Contrastive Explanations
International Conference on Cognitive Machine Intelligence (ICCMI), 2023
Praharsh Nanavati
Ranjitha Prasad
267
0
0
02 Jul 2023
Calibrated Explanations: with Uncertainty Information and Counterfactuals
Expert systems with applications (ESWA), 2023
Helena Lofstrom
Tuwe Lofstrom
Gregory Rice
Cecilia Sonstrod
465
25
0
03 May 2023
Model-agnostic explainable artificial intelligence for object detection in image data
Engineering applications of artificial intelligence (Eng. Appl. Artif. Intell.), 2023
M. Moradi
Ke Yan
David Colwell
Matthias Samwald
Rhona Asgari
AAML
337
16
0
30 Mar 2023
A Survey on Explainable Artificial Intelligence for Cybersecurity
IEEE Transactions on Network and Service Management (TNSM), 2023
Gaith Rjoub
Jamal Bentahar
Omar Abdel Wahab
R. Mizouni
Alyssa Song
Robin Cohen
Hadi Otrok
Azzam Mourad
382
76
0
07 Mar 2023
Causality-Aware Local Interpretable Model-Agnostic Explanations
Martina Cinquini
Riccardo Guidotti
CML
334
5
0
10 Dec 2022
ESC-Rules: Explainable, Semantically Constrained Rule Sets
International Workshop on Neural-Symbolic Learning and Reasoning (NeSy), 2022
Martin Glauer
Robert West
S. Michie
Janna Hastings
172
3
0
26 Aug 2022
Efficient Learning of Interpretable Classification Rules
Journal of Artificial Intelligence Research (JAIR), 2022
Bishwamittra Ghosh
Dmitry Malioutov
Kuldeep S. Meel
247
12
0
14 May 2022
A Meta Survey of Quality Evaluation Criteria in Explanation Methods
Helena Lofstrom
K. Hammar
Ulf Johansson
XAI
189
23
0
25 Mar 2022
Deep Learning, Natural Language Processing, and Explainable Artificial Intelligence in the Biomedical Domain
M. Moradi
Matthias Samwald
392
10
0
25 Feb 2022
Visual Exploration of Machine Learning Model Behavior with Hierarchical Surrogate Rule Sets
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2022
Jun Yuan
Brian Barr
Kyle Overton
E. Bertini
168
13
0
19 Jan 2022
Improving the robustness and accuracy of biomedical language models through adversarial training
M. Moradi
Matthias Samwald
AAML
OOD
MedIm
249
15
0
16 Nov 2021
Evaluating the Robustness of Neural Language Models to Input Perturbations
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
M. Moradi
Matthias Samwald
AAML
291
138
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
367
174
0
02 Apr 2021
Explaining Black-box Models for Biomedical Text Classification
IEEE journal of biomedical and health informatics (JBHI), 2020
M. Moradi
Matthias Samwald
205
23
0
20 Dec 2020
Explaining black-box text classifiers for disease-treatment information extraction
M. Moradi
Matthias Samwald
234
2
0
21 Oct 2020
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