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Teddy Lazebnik

Showing results (31-40 of 56) with videos related to

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Cancer Epidemiology|October 1, 2024
Corrigendum to "Machine learning computational model to predict lung cancer using electronic medical records". Journal: Cancer Epidemiology, volume 92 (2024)Matanel Levi, Teddy Lazebnik, Shiri Kushnir, et al.
Cancer Epidemiology|July 25, 2024
Machine learning computational model to predict lung cancer using electronic medical recordsMatanel Levi, Teddy Lazebnik, Shiri Kushnir, et al.
Journal of the Royal Society, Interface|July 16, 2024
Exploration-exploitation model of moth-inspired olfactory navigationTeddy Lazebnik, Yiftach Golov, Roi Gurka, et al.
Scientific Reports|March 6, 2025
Global lightning-ignited wildfires prediction and climate change projections based on explainable machine learning modelsAssaf Shmuel, Teddy Lazebnik, Oren Glickman, et al.
International Journal of Environmental Research and Public Health|December 11, 2022
Early Detection and Control of the Next Epidemic Wave Using Health Communications: Development of an Artificial Intelligence-Based Tool and Its Validation on COVID-19 Data from the USTeddy Lazebnik, Svetlana Bunimovich-Mendrazitsky, Shai Ashkenazi, et al.
Scientific Reports|February 9, 2024
Environmental enrichments and data-driven welfare indicators for sheltered dogs using telemetric physiological measures and signal processingTiziano Travain, Teddy Lazebnik, Anna Zamansky, et al.
Frontiers in Veterinary Science|February 16, 2024
BovineTalk: machine learning for vocalization analysis of dairy cattle under the negative affective state of isolationDinu Gavojdian, Madalina Mincu, Teddy Lazebnik, et al.
Scientific Reports|November 11, 2024
Computational investigation of the social function of domestic cat facial signalsGeorge Martvel, Lauren Scott, Brittany Florkiewicz, et al.
Frontiers in Veterinary Science|December 18, 2023
Machine learning approaches to predict and detect early-onset of digital dermatitis in dairy cows using sensor dataJennifer Magana, Dinu Gavojdian, Yakir Menahem, et al.
BMC Anesthesiology|March 21, 2025
Predicting postoperative nausea and vomiting using machine learning: a model development and validation studyMaxim Glebov, Teddy Lazebnik, Maksim Katsin, et al.
Pageof 6

Showing results (31-40 of 56) with videos related to

Sort By:
Pageof 6
Cancer Epidemiology|October 1, 2024
Corrigendum to "Machine learning computational model to predict lung cancer using electronic medical records". Journal: Cancer Epidemiology, volume 92 (2024)Matanel Levi, Teddy Lazebnik, Shiri Kushnir, et al.
Cancer Epidemiology|July 25, 2024
Machine learning computational model to predict lung cancer using electronic medical recordsMatanel Levi, Teddy Lazebnik, Shiri Kushnir, et al.
Journal of the Royal Society, Interface|July 16, 2024
Exploration-exploitation model of moth-inspired olfactory navigationTeddy Lazebnik, Yiftach Golov, Roi Gurka, et al.
Scientific Reports|March 6, 2025
Global lightning-ignited wildfires prediction and climate change projections based on explainable machine learning modelsAssaf Shmuel, Teddy Lazebnik, Oren Glickman, et al.
International Journal of Environmental Research and Public Health|December 11, 2022
Early Detection and Control of the Next Epidemic Wave Using Health Communications: Development of an Artificial Intelligence-Based Tool and Its Validation on COVID-19 Data from the USTeddy Lazebnik, Svetlana Bunimovich-Mendrazitsky, Shai Ashkenazi, et al.
Scientific Reports|February 9, 2024
Environmental enrichments and data-driven welfare indicators for sheltered dogs using telemetric physiological measures and signal processingTiziano Travain, Teddy Lazebnik, Anna Zamansky, et al.
Frontiers in Veterinary Science|February 16, 2024
BovineTalk: machine learning for vocalization analysis of dairy cattle under the negative affective state of isolationDinu Gavojdian, Madalina Mincu, Teddy Lazebnik, et al.
Scientific Reports|November 11, 2024
Computational investigation of the social function of domestic cat facial signalsGeorge Martvel, Lauren Scott, Brittany Florkiewicz, et al.
Frontiers in Veterinary Science|December 18, 2023
Machine learning approaches to predict and detect early-onset of digital dermatitis in dairy cows using sensor dataJennifer Magana, Dinu Gavojdian, Yakir Menahem, et al.
BMC Anesthesiology|March 21, 2025
Predicting postoperative nausea and vomiting using machine learning: a model development and validation studyMaxim Glebov, Teddy Lazebnik, Maksim Katsin, et al.
Pageof 6