Zobrazeno 1 - 10
of 3 636
pro vyhledávání: '"P. Harini"'
Autor:
Narayanan, Harini, Ghanta, Sindhu
Chronic wounds are a significant burden on individuals and the healthcare system, affecting millions of people and incurring high costs. Wound classification using deep learning techniques is a promising approach for faster diagnosis and treatment in
Externí odkaz:
http://arxiv.org/abs/2411.02456
LLMs are increasingly being used in workflows involving generating content to be consumed by humans (e.g., marketing) and also in directly interacting with humans (e.g., through chatbots). The development of such systems that are capable of generatin
Externí odkaz:
http://arxiv.org/abs/2410.02653
Autor:
Sun, Fan-Yun, Harini, S. I., Yi, Angela, Zhou, Yihan, Zook, Alex, Tremblay, Jonathan, Cross, Logan, Wu, Jiajun, Haber, Nick
Generating simulations to train intelligent agents in game-playing and robotics from natural language input, from user input or task documentation, remains an open-ended challenge. Existing approaches focus on parts of this challenge, such as generat
Externí odkaz:
http://arxiv.org/abs/2409.17652
Entity Matching (EM) is crucial for identifying equivalent data entities across different sources, a task that becomes increasingly challenging with the growth and heterogeneity of data. Blocking techniques, which reduce the computational complexity
Externí odkaz:
http://arxiv.org/abs/2409.16410
Background: Voxel-based analysis (VBA) for population level radiotherapy (RT) outcomes modeling requires topology preserving inter-patient deformable image registration (DIR) that preserves tumors on moving images while avoiding unrealistic deformati
Externí odkaz:
http://arxiv.org/abs/2409.11910
With the increasing amount of data globally, analyzing and visualizing data are becoming essential skills across various professions. It is important to equip university students with these essential data skills. To learn, design, and develop data vi
Externí odkaz:
http://arxiv.org/abs/2409.05969
In 1986, Zamolodchikov conjectured an exponential structure for the semi-classical limit of conformal blocks on a sphere. This paper provides a rigorous proof of the analog of Zamolodchikov conjecture for Liouville conformal blocks on a one-punctured
Externí odkaz:
http://arxiv.org/abs/2407.05839
Autor:
Muszynski, Michal, Klein, Levente, da Silva, Ademir Ferreira, Atluri, Anjani Prasad, Gomes, Carlos, Szwarcman, Daniela, Singh, Gurkanwar, Gu, Kewen, Zortea, Maciel, Simumba, Naomi, Fraccaro, Paolo, Singh, Shraddha, Meliksetian, Steve, Watson, Campbell, Kimura, Daiki, Srinivasan, Harini
Global vegetation structure mapping is critical for understanding the global carbon cycle and maximizing the efficacy of nature-based carbon sequestration initiatives. Moreover, vegetation structure mapping can help reduce the impacts of climate chan
Externí odkaz:
http://arxiv.org/abs/2406.19888
Autor:
Rangnekar, Aneesh, Boehm, Kevin M., Aherne, Emily A., Nikolovski, Ines, Gangai, Natalie, Liu, Ying, Zamarin, Dimitry, Roche, Kara L., Shah, Sohrab P., Lakhman, Yulia, Veeraraghavan, Harini
Two self-supervised pretrained transformer-based segmentation models (SMIT and Swin UNETR) fine-tuned on a dataset of ovarian cancer CT images provided reasonably accurate delineations of the tumors in an independent test dataset. Tumors in the adnex
Externí odkaz:
http://arxiv.org/abs/2406.17666
Publikováno v:
In The 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT '24), June 3-6, 2024, Rio de Janeiro, Brazil. ACM, New York, NY, USA, 13 pages
Growing interest and investment in the capabilities of foundation models has positioned such systems to impact a wide array of public services. Alongside these opportunities is the risk that these systems reify existing power imbalances and cause dis
Externí odkaz:
http://arxiv.org/abs/2405.19479