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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.
Askari Hemmat, M., Dupuis, T., Fournier, Y., El Zarif, N., Cavalcante, M., Perotti, M., Gurkaynak, F., Benini, L., Leduc-Primeau, F., Savaria, Y., & David, J. P. Quark: an integer RISC-V vector processor for sub-byte quantized DNN inference [Paper]. 2023 IEEE International Symposium on Circuits and Systems (ISCAS 2023), Monterey, CA, USA (5 pages). External link
Dupuis, T., Fournier, Y., Askari Hemmat, M., El Zarif, N., Leduc-Primeau, F., David, J. P., & Savaria, Y. (2023, June). Sparq: A Custom RISC-V Vector Processor for Efficient Sub-Byte Quantized Inference [Paper]. 21st IEEE Interregional NEWCAS Conference (NEWCAS 2023), Edinburgh, United Kingdom (5 pages). External link
El Zarif, N., Hemmat, M. A., Dupuis, T., David, J. P., & Savaria, Y. (2024). Polara-Keras2c: Supporting Vectorized AI Models on RISC-V Edge Devices. IEEE Access, 12, 171836-171852. Available
El Zarif, N. (2021). A Platform for Enhancing the Vision of Patients Suffering from Age-Related Macular Degeneration Disease [Ph.D. thesis, Polytechnique Montréal]. Available
El Zarif, N. (2020). Angled Posed Facial Expression Dataset [Dataset]. External link
El Zarif, N., Montazeri, L., & Sawan, M. (2018, July). Real-time retinal processing for high-resolution optogenetic stimulation device [Paper]. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2018), Honolulu, HI. External link
Montazerijouibari, L., El Zarif, N., Trenholm, S., & Sawan, M. (2019). Optogenetic Stimulation for Restoring Vision to Patients Suffering from Retinal Degenerative Diseases: Current Strategies and Future Directions. IEEE Transactions on Biomedical Circuits and Systems, 13(6), 1792-1807. External link
Montazeri, L., El Zarif, N., Tokuda, T., Ohta, J., & Sawan, M. (2018, May). Active control of μLED arrays for optogenetic stimulation [Paper]. IEEE International Symposium on Circuits and Systems (ISCAS 2018), Florence, Italy (5 pages). External link
Montazeri, L., El Zarif, N., & Sawan, M. (2018, June). Optical Control of Neural Dynamics Using LED Array [Paper]. 16th IEEE International New Circuits and Systems Conference (NEWCAS 2018), Montréal, Québec. External link