Zobrazeno 1 - 10
of 2 521
pro vyhledávání: '"H, Francis"'
Multimodal Deep Convolutional Neural Network Pipeline for AI-Assisted Early Detection of Oral Cancer
Autor:
G. A. I. Devindi, D. M. D. R. Dissanayake, S. N. Liyanage, F. B. A. H. Francis, M. B. D. Pavithya, N. S. Piyarathne, P. V. K. S. Hettiarachchi, R. M. S. G. K. Rasnayaka, R. D. Jayasinghe, R. G. Ragel, I. Nawinne
Publikováno v:
IEEE Access, Vol 12, Pp 124375-124390 (2024)
Oral Squamous Cell Carcinoma (OSCC) poses a significant health challenge, with early detection being crucial for effective treatment and improved survival rates. While previous studies have examined the use of standard photographs, such as those from
Externí odkaz:
https://doaj.org/article/5c222e9cd0a44f0d9c384a32eebd19f4
Autor:
Jasmine H. Francis, Christopher A. Barker, Julia Canestraro, David H. Abramson, Alexander N. Shoushtari
Publikováno v:
American Journal of Ophthalmology Case Reports, Vol 34, Iss , Pp 102021- (2024)
Purpose: To report a case of metastatic uveal melanoma treated with immune checkpoint inhibition in which serial circulating tumor DNA (ctDNA) was assessed throughout treatment. Observations: A 33-year-old man was diagnosed with metastatic uveal mela
Externí odkaz:
https://doaj.org/article/85ecccdae4fc43129f0a26b190d55dc8
Autor:
Liu, Siqi, Lever, Guy, Wang, Zhe, Merel, Josh, Eslami, S. M. Ali, Hennes, Daniel, Czarnecki, Wojciech M., Tassa, Yuval, Omidshafiei, Shayegan, Abdolmaleki, Abbas, Siegel, Noah Y., Hasenclever, Leonard, Marris, Luke, Tunyasuvunakool, Saran, Song, H. Francis, Wulfmeier, Markus, Muller, Paul, Haarnoja, Tuomas, Tracey, Brendan D., Tuyls, Karl, Graepel, Thore, Heess, Nicolas
Intelligent behaviour in the physical world exhibits structure at multiple spatial and temporal scales. Although movements are ultimately executed at the level of instantaneous muscle tensions or joint torques, they must be selected to serve goals de
Externí odkaz:
http://arxiv.org/abs/2105.12196
Autor:
Heidel, Jonah, Farhadi, H. Francis, Hofler, Ryan, Cassidy, R. Carter, Motiei-Langroudi, Rouzbeh
Publikováno v:
In World Neurosurgery September 2024
Autor:
Abdolmaleki, Abbas, Huang, Sandy H., Hasenclever, Leonard, Neunert, Michael, Song, H. Francis, Zambelli, Martina, Martins, Murilo F., Heess, Nicolas, Hadsell, Raia, Riedmiller, Martin
Many real-world problems require trading off multiple competing objectives. However, these objectives are often in different units and/or scales, which can make it challenging for practitioners to express numerical preferences over objectives in thei
Externí odkaz:
http://arxiv.org/abs/2005.07513
Akademický článek
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Autor:
Husain Shakil, Carlo Santaguida, Jefferson R. Wilson, H. Francis Farhadi, Allan D. Levi, Jared T. Wilcox
Publikováno v:
Frontiers in Neurology, Vol 14 (2023)
Our understanding of Central Cord Syndrome (CCS), a form of incomplete spinal cord injury characterized by disproportionate upper extremity weakness, is evolving. Recent advances challenge the traditional somatotopic model of corticospinal tract orga
Externí odkaz:
https://doaj.org/article/e77353f1161d4aceb610040edee2faab
Autor:
Parisotto, Emilio, Song, H. Francis, Rae, Jack W., Pascanu, Razvan, Gulcehre, Caglar, Jayakumar, Siddhant M., Jaderberg, Max, Kaufman, Raphael Lopez, Clark, Aidan, Noury, Seb, Botvinick, Matthew M., Heess, Nicolas, Hadsell, Raia
Owing to their ability to both effectively integrate information over long time horizons and scale to massive amounts of data, self-attention architectures have recently shown breakthrough success in natural language processing (NLP), achieving state
Externí odkaz:
http://arxiv.org/abs/1910.06764
Autor:
Song, H. Francis, Abdolmaleki, Abbas, Springenberg, Jost Tobias, Clark, Aidan, Soyer, Hubert, Rae, Jack W., Noury, Seb, Ahuja, Arun, Liu, Siqi, Tirumala, Dhruva, Heess, Nicolas, Belov, Dan, Riedmiller, Martin, Botvinick, Matthew M.
Some of the most successful applications of deep reinforcement learning to challenging domains in discrete and continuous control have used policy gradient methods in the on-policy setting. However, policy gradients can suffer from large variance tha
Externí odkaz:
http://arxiv.org/abs/1909.12238
Autor:
Bard, Nolan, Foerster, Jakob N., Chandar, Sarath, Burch, Neil, Lanctot, Marc, Song, H. Francis, Parisotto, Emilio, Dumoulin, Vincent, Moitra, Subhodeep, Hughes, Edward, Dunning, Iain, Mourad, Shibl, Larochelle, Hugo, Bellemare, Marc G., Bowling, Michael
From the early days of computing, games have been important testbeds for studying how well machines can do sophisticated decision making. In recent years, machine learning has made dramatic advances with artificial agents reaching superhuman performa
Externí odkaz:
http://arxiv.org/abs/1902.00506