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Elisa Nguyen
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From anecdotal evidence to quantitative evaluation methods: A systematic review on evaluating explainable ai
M Nauta, J Trienes, S Pathak, E Nguyen, M Peters, Y Schmitt, ...
ACM Computing Surveys 55 (13s), 1-42, 2023
3332023
A Bayesian approach to analysing training data attribution in deep learning
E Nguyen, M Seo, SJ Oh
Advances in Neural Information Processing Systems 36, 2024
9*2024
A hybrid text classification and language generation model for automated summarization of dutch breast cancer radiology reports
E Nguyen, D Theodorakopoulos, S Pathak, J Geerdink, O Vijlbrief, ...
2020 IEEE second international conference on cognitive machine intelligence …, 2020
82020
Pokérator-unveil your inner Pokémon
D Geissler, E Nguyen, D Theodorakopoulos, L Gatti
11th International Conference on Computational Creativity, ICCC 2020, 500-503, 2020
62020
Temporal spike attribution: A local feature-based explanation for temporally coded spiking neural networks
E Nguyen
University of Twente, 2021
32021
Trustworthy machine learning
B Mucsányi, M Kirchhof, E Nguyen, A Rubinstein, SJ Oh
arXiv preprint arXiv:2310.08215, 2023
22023
Studying Large Language Model Behaviors Under Context-Memory Conflicts With Real Documents
E Kortukov, A Rubinstein, E Nguyen, SJ Oh
First Conference on Language Modeling, 0
2*
Exploring practitioner perspectives on training data attribution explanations
E Nguyen, E Kortukov, J Song, SJ Oh
arXiv preprint arXiv:2310.20477, 2023
12023
Towards User-Focused Research in Training Data Attribution for Human-Centered Explainable AI
E Nguyen, J Bertram, E Kortukov, JY Song, SJ Oh
arXiv preprint arXiv:2409.16978, 2024
2024
Feature Attribution Explanations for Spiking Neural Networks
E Nguyen, M Nauta, G Englebienne, C Seifert
2023 IEEE 5th International Conference on Cognitive Machine Intelligence …, 2023
2023
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