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2005.01992
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Post-hoc explanation of black-box classifiers using confident itemsets
5 May 2020
M. Moradi
Matthias Samwald
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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
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