Zobrazeno 1 - 10
of 768
pro vyhledávání: '"Campbell, Sean"'
Publikováno v:
Sensors and Transducers ISSN 2306-8515 e-ISSN 1726-5479 vol 252 pp 50-57 2021
Fine-Grained Change Detection and Regression Analysis are essential in many applications of ArtificialIntelligence. In practice, this task is often challenging owing to the lack of reliable ground truth information andcomplexity arising from interact
Externí odkaz:
http://arxiv.org/abs/2208.05800
Autor:
Bialercowski, Christine, Campbell, Sean, Falkner, Sara, Owen, Jessica, Ward, Alex, MacIntyre, Donna, Dumont, Tyler
Recorded by Eugene Barsky, Physiotherapy Outreach Librarian, UBC
This is a Systematic Review Presentation titled - "Neuromuscular Training & ACL Injury Prevention: A Systematic Review", created by Master of Physical Therapy Graduating Students,
This is a Systematic Review Presentation titled - "Neuromuscular Training & ACL Injury Prevention: A Systematic Review", created by Master of Physical Therapy Graduating Students,
Externí odkaz:
http://hdl.handle.net/2429/88
Autor:
Cruz, Jacquelyn P, Michaud, Jack B., Van Rysselberghe, Noelle L., Walsh, Daniel, Svetgoff, Reese, Bailey, Ryan, Pirkle, Sarah Bhattacharjee, Megerian, Mark F., Harbison, Gregory J., Becerra, Jacob A., Sakka, Brandan, Vega, Andrew, Bohlen, Hunter L., Holloway, Aeryus, Finlay, Andrea, Scolaro, John A., Patterson, Joseph T., Campbell, Sean T., Hebert-Davies, Jonah, Warner, Stephen J., Goodnough, L.Henry, Bishop, Julius A., Gardner, Michael J.
Publikováno v:
In Injury August 2024 55(8)
Autor:
Prabhavalkar, Rohit, He, Yanzhang, Rybach, David, Campbell, Sean, Narayanan, Arun, Strohman, Trevor, Sainath, Tara N.
End-to-end models that condition the output label sequence on all previously predicted labels have emerged as popular alternatives to conventional systems for automatic speech recognition (ASR). Since unique label histories correspond to distinct mod
Externí odkaz:
http://arxiv.org/abs/2012.06749
Autor:
Mahony, Niall O', Campbell, Sean, Carvalho, Anderson, Krpalkova, Lenka, Velasco-Hernandez, Gustavo, Riordan, Daniel, Walsh, Joseph
Publikováno v:
Proceedings of the 2020 Intelligent Systems Conference (IntelliSys) Volume 1, B. R. Arai K., Kapoor S., Ed. Springer, Cham, 2020, pp. 97 to 113
Deep Metric Learning (DML) approaches learn to represent inputs to a lower-dimensional latent space such that the distance between representations in this space corresponds with a predefined notion of similarity. This paper investigates how the mappi
Externí odkaz:
http://arxiv.org/abs/2009.03820
Autor:
Mahony, Niall O', Campbell, Sean, Carvalho, Anderson, Harapanahalli, Suman, Velasco-Hernandez, Gustavo, Krpalkova, Lenka, Riordan, Daniel, Walsh, Joseph
Publikováno v:
in Advances in Computer Vision Proceedings of the 2019 Computer Vision Conference (CVC). Springer Nature Switzerland AG, pp. 128-144
Deep Learning has pushed the limits of what was possible in the domain of Digital Image Processing. However, that is not to say that the traditional computer vision techniques which had been undergoing progressive development in years prior to the ri
Externí odkaz:
http://arxiv.org/abs/1910.13796
Autor:
Campbell, Sean Thomas
Proteins are intimately involved in almost every cellular phenomenon, from life to death. Understanding the interactions of proteins with each other and other macromolecules and the ability to rationally redesign them to improve their activities or c
Externí odkaz:
http://hdl.handle.net/10150/560940
Autor:
Smith, Emery, Campbell, Sean, Wilson, Adrianna N., Shumate, Justin, Baillargeon, Pierre, Scampavia, Louis, Kamenecka, Theodore M., Spicer, Timothy P., Solt, Laura A.
Publikováno v:
In SLAS Discovery June 2022 27(4):242-248