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This graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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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.
Destras, O., Gohring de Magalhaes, F., Le Beux, S., & Nicolescu, G. (2025, April). All-Optical Reconfigurable Activation Function Based on Saturable Absorption [Paper]. 26th International Symposium on Quality Electronic Design (ISQED 2025), San Francisco, CA, USA. External link
Destras, O., Le Beux, S., Gohring de Magalhaes, F., & Nicolescu, G. (2024). Survey on activation functions for optical neural networks. ACM Computing Surveys, 56(2), 35 (30 pages). Available
Destras, O., Le Beux, S., Gohring de Magalhaes, F., & Nicolescu, G. (2024, June). Design of a Reconfigurable Activation Function for All-Optical Neural Networks [Paper]. 22nd IEEE Interregional NEWCAS Conference (NEWCAS 2024), Sherbrooke, QC, Canada. External link
Destras, O. (2020). Modelling of Artificial Neural Networks with Integrated Photonics [Master's thesis, Polytechnique Montréal]. Available
Lanovaz, M. J., Giannakakos, A. R., & Destras, O. (2021). Correction to: Machine learning to analyze single-case data: a proof of concept. Perspectives on Behavior Science, 44, 127-127. External link
Lanovaz, M. J., Giannakakos, A. R., & Destras, O. (2020). Machine learning to analyze single-case data: a proof of concept. Perspectives on Behavior Science, 43, 21-38. Available