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Posts by Collection
portfolio
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publications
Assessing the determinants of larval fish strike rates using computer vision
Published in Ecological Informatics, 2023
Recommended citation: Bar, Shir; Levy, Liraz; Avidan, Shai; Holzman, Roi. (2023). "Assessing the determinants of larval fish strike rates using computer vision." Ecological Informatics. 77:102195.
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Identifying priority sites for whale shark ship collision management globally
Published in Science of the Total Environment, 2024
Recommended citation: Womersley, Freya C; Rohner, Christoph A; Abrantes, Kátya; Afonso, Pedro; Arunrugstichai, Shin; Bach, Steffen S; Bar, Shir; Barash, Adi; Barnes, Peter; Barnett, Adam; et al. (2024). "Identifying priority sites for whale shark ship collision management globally." Science of the Total Environment. 934:172776.
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Sifting through the Haystack - Efficiently Finding Rare Animal Behaviors in Large-Scale Datasets
Published in Proceedings of the Winter Conference on Applications of Computer Vision (WACV), 2025
Recommended citation: Bar, Shir; Hirschorn, Or; Holzman, Roi; Avidan, Shai. (2025). "Sifting through the Haystack - Efficiently Finding Rare Animal Behaviors in Large-Scale Datasets." Proceedings of the Winter Conference on Applications of Computer Vision (WACV). 6290-6299.
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talks
The Hunger Games – A glimpse into larval fish prey capture behavior in-situ in aquaculture
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Sifting through the haystack – efficiently finding rare animal behaviors in large-scale datasets
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poster | paper | supplementary | code abstract
teaching
Introduction to R for Graduate Students
Graduate Course, Tel Aviv University, 2021
Teaching assistant in an intensive one-week R course for Life Science grad students.
Covered coding fundamentals, data wrangling, and advanced statistical analysis. Taught yearly from 2021 to 2025.
Computer Vision for Ecology Workshop
Workshop, Caltech, 2023
Instructor in the Computer Vision for Ecology workshop led by Dr. Sara Beery (MIT), Dr. Eric Orenstein (NOC Southampton), and Prof. Pietro Perona (Caltech). This is a 3-week project-based course for ecology and conservation practitioners. In the course, I delivering lectures on computer vision model evaluation and experimental design, and co-advised a group of researchers on their applied computer vision projects. I have been in the instruction team since 2023, and taught the last two iterations in 2023 and 2025.
Statistical Methods in Marine Ecology
Field Course, Interuniversity Institute for Marine Sciences, Eilat, 2024
Teaching assistant a one-week intensive field course in practical statistical methods for ecologists. The course teaches concepts like estimation, null hypothesis testing, model selection and mixed effects modeling through a set of hands-on computational and field exercises. Taught the 2024 and 2025 iterations.