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pro vyhledávání: '"MacKenzie, W."'
Autor:
Mirzaei, Hossein, Mathis, Mackenzie W.
Despite significant advancements in out-of-distribution (OOD) detection, existing methods still struggle to maintain robustness against adversarial attacks, compromising their reliability in critical real-world applications. Previous studies have att
Externí odkaz:
http://arxiv.org/abs/2410.10744
Publikováno v:
Published in Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) 2023
The process of quantifying and analyzing animal behavior involves translating the naturally occurring descriptive language of their actions into machine-readable code. Yet, codifying behavior analysis is often challenging without deep understanding o
Externí odkaz:
http://arxiv.org/abs/2307.04858
Autor:
Tuia, Devis, Kellenberger, Benjamin, Beery, Sara, Costelloe, Blair R., Zuffi, Silvia, Risse, Benjamin, Mathis, Alexander, Mathis, Mackenzie W., van Langevelde, Frank, Burghardt, Tilo, Kays, Roland, Klinck, Holger, Wikelski, Martin, Couzin, Iain D., van Horn, Grant, Crofoot, Margaret C., Stewart, Charles V., Berger-Wolf, Tanya
Data acquisition in animal ecology is rapidly accelerating due to inexpensive and accessible sensors such as smartphones, drones, satellites, audio recorders and bio-logging devices. These new technologies and the data they generate hold great potent
Externí odkaz:
http://arxiv.org/abs/2110.12951
Autor:
Manning-Geist, Beryl L., Sullivan, Mackenzie W., Zhou, Qin, Iasonos, Alexia, Selenica, Pier, Stallworth, Chrystal, Liu, Ying L., Long Roche, Kara, Gordhandas, Sushmita, Aghajanian, Carol, Chi, Dennis, O'Cearbhaill, Róisín, Grisham, Rachel N., Chui, M. Herman
Publikováno v:
In Gynecologic Oncology September 2024 188:52-57
Autor:
Joska, Daniel, Clark, Liam, Muramatsu, Naoya, Jericevich, Ricardo, Nicolls, Fred, Mathis, Alexander, Mathis, Mackenzie W., Patel, Amir
Publikováno v:
2021 IEEE International Conference on Robotics and Automation (ICRA), 2021, pp. 13901-13908
Animals are capable of extreme agility, yet understanding their complex dynamics, which have ecological, biomechanical and evolutionary implications, remains challenging. Being able to study this incredible agility will be critical for the developmen
Externí odkaz:
http://arxiv.org/abs/2103.13282
Publikováno v:
Current Opinion in Neurobiology 2021
The utility of machine learning in understanding the motor system is promising a revolution in how to collect, measure, and analyze data. The field of movement science already elegantly incorporates theory and engineering principles to guide experime
Externí odkaz:
http://arxiv.org/abs/2103.11775
Publikováno v:
Neuron Volume 108, Issue 1, 14 October 2020, Pages 44-65
Extracting behavioral measurements non-invasively from video is stymied by the fact that it is a hard computational problem. Recent advances in deep learning have tremendously advanced predicting posture from videos directly, which quickly impacted n
Externí odkaz:
http://arxiv.org/abs/2009.00564