Zobrazeno 1 - 10
of 2 400
pro vyhledávání: '"Chitre AS"'
Autor:
Zhao, Dora, Scheuerman, Morgan Klaus, Chitre, Pooja, Andrews, Jerone T. A., Panagiotidou, Georgia, Walker, Shawn, Pine, Kathleen H., Xiang, Alice
Despite extensive efforts to create fairer machine learning (ML) datasets, there remains a limited understanding of the practical aspects of dataset curation. Drawing from interviews with 30 ML dataset curators, we present a comprehensive taxonomy of
Externí odkaz:
http://arxiv.org/abs/2406.06407
We investigate the performance of image-based pose regressor models in underwater environments for relocalization. Leveraging PoseNet and PoseLSTM, we regress a 6-degree-of-freedom pose from single RGB images with high accuracy. Additionally, we expl
Externí odkaz:
http://arxiv.org/abs/2403.08360
Autor:
Chitre, Ronit, Sinha, Arpita
Mobile robots often have limited battery life and need to recharge periodically. This paper presents an RRT- based path-planning algorithm that addresses battery power management. A path is generated continuously from the robot's current position to
Externí odkaz:
http://arxiv.org/abs/2310.20590
Autor:
Rodruck, Michael, Charlton, Jane, Borthakur, Sanchayeeta, Chitre, Aparna, Durrell, Patrick R., Elmegreen, Debra, English, Jayanne, Gallagher, Sarah C., Gronwall, Caryl, Knierman, Karen, Konstantopoulos, Iraklis, Li, Yuexing, Maji, Moupiya, Mullan, Brendan, Trancho, Gelys, Vacca, William
We present results of a Hubble Space Telescope (HST) UBVI-band study of star clusters in tidal tails, using new WFC3 and ACS imaging to complement existing WFPC2 data. We survey 12 tidal tails across seven merging systems, deriving ages and masses fo
Externí odkaz:
http://arxiv.org/abs/2309.10267
Autor:
Aniket Chitre, Robert C. M. Querimit, Simon D. Rihm, Dogancan Karan, Benchuan Zhu, Ke Wang, Long Wang, Kedar Hippalgaonkar, Alexei A. Lapkin
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-10 (2024)
Abstract Liquid formulations are ubiquitous yet have lengthy product development cycles owing to the complex physical interactions between ingredients making it difficult to tune formulations to customer-defined property targets. Interpolative ML mod
Externí odkaz:
https://doaj.org/article/8fa8db7a70894f60b16d6db492fee624
Autor:
Avantika S. Chitre, Ping Wu, Benjamin T. Walters, Xiangdan Wang, Alexandre Bouyssou, Xiangnan Du, Isabelle Lehoux, Rina Fong, Alisa Arata, Joyce Chan, Die Wang, Yvonne Franke, Jane L. Grogan, Ira Mellman, Laetitia Comps-Agrar, Weiru Wang
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Hematopoietic progenitor kinase 1 (HPK1) is a negative regulator of T-cell receptor signaling and as such is an attractive target for cancer immunotherapy. Although the role of the HPK1 kinase domain (KD) has been extensively characterized,
Externí odkaz:
https://doaj.org/article/606ad94308a5488bb57edc5d41149491
Autor:
Sandra Batista, Vered Senderovich Madar, Philip J. Freda, Priyanka Bhandary, Attri Ghosh, Nicholas Matsumoto, Apurva S. Chitre, Abraham A. Palmer, Jason H. Moore
Publikováno v:
BioData Mining, Vol 17, Iss 1, Pp 1-37 (2024)
Abstract Purpose Epistasis, the interaction between two or more genes, is integral to the study of genetics and is present throughout nature. Yet, it is seldom fully explored as most approaches primarily focus on single-locus effects, partly because
Externí odkaz:
https://doaj.org/article/1366e57e410d486ebca558fd373f3588
Autor:
Keita Ishiwari, Christopher P. King, Connor D. Martin, Jordan A. Tripi, Anthony M. George, Alexander C. Lamparelli, Apurva S. Chitre, Oksana Polesskaya, Jerry B. Richards, Leah C. Solberg Woods, Amy M. Gancarz, Abraham A. Palmer, David M. Dietz, Suzanne H. Mitchell, Paul J. Meyer
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract Organisms must regulate their behavior flexibly in the face of environmental challenges. Failure can lead to a host of maladaptive behavioral traits associated with a range of neuropsychiatric disorders, including attention deficit hyperacti
Externí odkaz:
https://doaj.org/article/586ad7aa872542d0899cd03f7eb3bb9d
Many complex Deep Learning models are used with different variations for various prognostication tasks. The higher learning parameters not necessarily ensure great accuracy. This can be solved by considering changes in very deep models with many regu
Externí odkaz:
http://arxiv.org/abs/2205.12775
Autor:
Li, Kexin, Chitre, Mandar
Acoustic propagation models are widely used in numerous oceanic and other underwater applications. Most conventional models are approximate solutions of the acoustic wave equation, and require accurate environmental knowledge to be available beforeha
Externí odkaz:
http://arxiv.org/abs/2205.06066