Items where Author is "Pequignot, Yann"
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A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
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Laberge, G., Pequignot, Y., Marchand, M., & Khomh, F. (2024, May). Tackling the XAI Disagreement Problem with Regional Explanations [Paper]. 27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024), Valencia, Spain. External link
Laberge, G., Pequignot, Y., Mathieu, A., Khomh, F., & Marchand, M. (2023). Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set. Journal of Machine Learning Research, 24(364), 50 pages. External link
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Marois, A., Mahu, A.-M., Ramón Alamán, J., Tambon, F., Pequignot, Y., Paul, T. S., Ouellette, B., & Doyon-Poulin, P. (2025, June). Towards Collecting Real-Time Vigilance Measures for Adaptive Training in Safety-Critical Domains [Paper]. 27th International Conference on Human-Computer Interaction (HCII 2025), Gothenburg, Sweden. Published in Lecture notes in computer science, 16344. External link
Mahu, A.-M., Pequignot, Y., Marois, A., Ouellette, B., Khomh, F., & Doyon-Poulin, P. (2026, July). Measuring Pilot Vigilance Decline During a Monotonous Mission inaFlight Simulator [Paper]. 8th International Conference on HCI in Mobility, Transport, and Automotive Systems (MobiTAS 2026), Montréal, QC, Canada. Published in Lecture notes in computer science. External link
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Taraghi, M., Pequignot, Y., Nikanjam, A., Amine Merzouk, M., & Khomh, F. (2026). Efficiency at What Cost? Safety and Fairness in Parameter-Efficient Fine-Tuning of LLMs. IEEE Transactions on Artificial Intelligence, 15 pages. External link
Tambon, F., Laberge, G., An, L., Nikanjam, A., Mindom, P. S. N., Pequignot, Y., Khomh, F., Antoniol, G., Merlo, E., & Laviolette, F. (2022). How to certify machine learning based safety-critical systems? A systematic literature review. Automated Software Engineering, 29(2). External link