Zobrazeno 1 - 10
of 710
pro vyhledávání: '"Maithili P"'
Autor:
Patel, Maithili, Chernova, Sonia
As service robots become more general-purpose, they will need to adapt to their users' preferences over a large set of all possible tasks that they can perform. This includes preferences regarding which actions the users prefer to delegate to robots
Externí odkaz:
http://arxiv.org/abs/2410.19219
PrivFED -- A Framework for Privacy-Preserving Federated Learning in Enhanced Breast Cancer Diagnosis
In the day-to-day operations of healthcare institutions, a multitude of Personally Identifiable Information (PII) data exchanges occur, exposing the data to a spectrum of cybersecurity threats. This study introduces a federated learning framework, tr
Externí odkaz:
http://arxiv.org/abs/2405.08084
Autor:
Ilgen Mender, Ryan LaRanger, Krishna Luitel, Michael Peyton, Luc Girard, Tsung-Po Lai, Kimberly Batten, Crystal Cornelius, Maithili P. Dalvi, Michael Ramirez, Wenting Du, Lani F. Wu, Steven J. Altschuler, Rolf Brekken, Elisabeth D. Martinez, John D. Minna, Woodring E. Wright, Jerry W. Shay
Publikováno v:
Neoplasia: An International Journal for Oncology Research, Vol 20, Iss 8, Pp 826-837 (2018)
Standard and targeted cancer therapies for late-stage cancer patients almost universally fail due to tumor heterogeneity/plasticity and intrinsic or acquired drug resistance. We used the telomerase substrate nucleoside precursor, 6-thio-2′-deoxygua
Externí odkaz:
https://doaj.org/article/4cb2a9b75e64451da5d6b5d27e43a411
Autor:
Maithili P. Dalvi, Lei Wang, Rui Zhong, Rahul K. Kollipara, Hyunsil Park, Juan Bayo, Paul Yenerall, Yunyun Zhou, Brenda C. Timmons, Jaime Rodriguez-Canales, Carmen Behrens, Barbara Mino, Pamela Villalobos, Edwin R. Parra, Milind Suraokar, Apar Pataer, Stephen G. Swisher, Neda Kalhor, Natarajan V. Bhanu, Benjamin A. Garcia, John V. Heymach, Kevin Coombes, Yang Xie, Luc Girard, Adi F. Gazdar, Ralf Kittler, Ignacio I. Wistuba, John D. Minna, Elisabeth D. Martinez
Publikováno v:
Cell Reports, Vol 19, Iss 8, Pp 1669-1684 (2017)
Although non-small cell lung cancer (NSCLC) patients benefit from standard taxane-platin chemotherapy, many relapse, developing drug resistance. We established preclinical taxane-platin-chemoresistance models and identified a 35-gene resistance signa
Externí odkaz:
https://doaj.org/article/b799525f4c5f4794b566dfe7987f5ae9
Autor:
Mehta, Deval, Betz-Stablein, Brigid, Nguyen, Toan D, Gal, Yaniv, Bowling, Adrian, Haskett, Martin, Sashindranath, Maithili, Bonnington, Paul, Mar, Victoria, Soyer, H Peter, Ge, Zongyuan
The surge in developing deep learning models for diagnosing skin lesions through image analysis is notable, yet their clinical black faces challenges. Current dermatology AI models have limitations: limited number of possible diagnostic outputs, lack
Externí odkaz:
http://arxiv.org/abs/2311.01009
Proactivity in robot assistance refers to the robot's ability to anticipate user needs and perform assistive actions without explicit requests. This requires understanding user routines, predicting consistent activities, and actively seeking informat
Externí odkaz:
http://arxiv.org/abs/2309.06252
Autor:
K. L. Maithili, M. S. Nagakumar
Publikováno v:
Discover Geoscience, Vol 2, Iss 1, Pp 1-13 (2024)
Abstract Utilizing waste materials to improve soil properties can result in cost savings and environmental benefits. This study aims to determine the effect of adding agricultural wastes like rice husk ash (RHA), rice husk (RH), and groundnut shells
Externí odkaz:
https://doaj.org/article/ceba7592f71c493792b06b14fd0cff3b
Publikováno v:
Annals of Indian Psychiatry, Vol 8, Iss 4, Pp 332-335 (2024)
Context: Both personality and gender influence academic performance, coping skills, and resilience. Studying these factors together could help identify methods to improve academic achievement, coping mechanisms, and ego resilience. Aim: The aim of th
Externí odkaz:
https://doaj.org/article/b8bcd397f48e4d80aa9fcc7dc46c24a6
The recent advances in deep-learning have led to the development of highly sophisticated systems with an unquenchable appetite for data. On the other hand, building good deep-learning models for low-resource languages remains a challenging task. This
Externí odkaz:
http://arxiv.org/abs/2308.09862
Named Entity Recognition (NER) is a fundamental task in NLP that is used to locate the key information in text and is primarily applied in conversational and search systems. In commercial applications, NER or comparable slot-filling methods have been
Externí odkaz:
http://arxiv.org/abs/2306.06477