Zobrazeno 1 - 10
of 4 230
pro vyhledávání: '"Doraiswamy A"'
Autor:
Guardieiro, Vitoria, de Oliveira, Felipe Inagaki, Doraiswamy, Harish, Nonato, Luis Gustavo, Silva, Claudio
High-dimensional data, characterized by many features, can be difficult to visualize effectively. Dimensionality reduction techniques, such as PCA, UMAP, and t-SNE, address this challenge by projecting the data into a lower-dimensional space while pr
Externí odkaz:
http://arxiv.org/abs/2409.07257
Autor:
Gosal, Gurpreet, Xu, Yishi, Ramakrishnan, Gokul, Joshi, Rituraj, Sheinin, Avraham, Zhiming, Chen, Mishra, Biswajit, Vassilieva, Natalia, Hestness, Joel, Sengupta, Neha, Sahu, Sunil Kumar, Jia, Bokang, Pandit, Onkar, Katipomu, Satheesh, Kamboj, Samta, Ghosh, Samujjwal, Pal, Rahul, Mullah, Parvez, Doraiswamy, Soundar, Chami, Mohamed El Karim, Nakov, Preslav
We present an efficient method for adapting a monolingual Large Language Model (LLM) to another language, addressing challenges of catastrophic forgetting and tokenizer limitations. We focus this study on adapting Llama 2 to Arabic. Our two-stage app
Externí odkaz:
http://arxiv.org/abs/2407.12869
Autor:
Richa Singh, Shankarappa Pushpa, Doraiswamy Arunagiri, Asheesh Sawhny, Abhinav Misra, Ramamurthy Sujatha
Publikováno v:
Journal of Dental Research, Dental Clinics, Dental Prospects, Vol 10, Iss 4, Pp 251-256 (2016)
Background. Maximum sealing ability or adhesion of endodontic sealers can be achieved after effective removal of the smear layer. Endodontic irrigants assist in adequate removal of the smear layer, improving the retention mechanism. The aim of this s
Externí odkaz:
https://doaj.org/article/3bdbfc1d7b854ffa956a7e2f145778b6
Autor:
Medepalli, Saaketh, Doraiswamy, Naren
Meta-learning frameworks for few-shot learning aims to learn models that can learn new skills or adapt to new environments rapidly with a few training examples. This has led to the generalizability of the developed model towards new classes with just
Externí odkaz:
http://arxiv.org/abs/2310.00451
Autor:
Soundappan Somasundaram, Pradeep Joshua Christopher, Ankit Ahuja, Harshini Motati, Vigneshwaran Kasi, S. Prabhakaran, Raghunath Doraiswamy, Dhivahar Ganesan, Punit Singla, Swaminathan Sambandam, Anand Vijai Natesan
Publikováno v:
Indian Journal of Transplantation, Vol 18, Iss 2, Pp 194-199 (2024)
Liver transplantation is the ideal treatment of choice for Familial amyloid polyneuropathy (FAP). It is known that during transplantation surgery, this explant liver which will be removed from amyloid patient can be used as a domino graft for another
Externí odkaz:
https://doaj.org/article/ede1a9a70f2244cfba3076ec72bb3ba6
Publikováno v:
F1000Research, Vol 10 (2024)
Background The primary objective worldwide during the coronavirus disease 2019 (COVID-19) pandemic had been controlling disease transmission. However, lockdown measures used to mitigate transmission affected human behavior and altered lifestyles, wit
Externí odkaz:
https://doaj.org/article/d36db3755bea4cf39703d57ccf4fb8d4
Autor:
Doraiswamy, P. Murali, Goldberg, Terry E., Qian, Min, Linares, Alexandra R., Nwosu, Adaora, Nino, Izael, D'Antonio, Jessica, Phillips, Julia, Ndouli, Charlie, Hellegers, Caroline, Michael, Andrew M., Petrella, Jeffrey R., Andrews, Howards, Sneed, Joel, Devanand, Davangere P.
Publikováno v:
J Alzheimers Dis. 2022;86(3):1131-1136. PMID: 35180109
Digital cognitive tests offer several potential advantages over established paper-pencil tests but have not yet been fully evaluated for the clinical evaluation of mild cognitive impairment. The NeuroCognitive Performance Test (NCPT) is a web-based,
Externí odkaz:
http://arxiv.org/abs/2208.04841
Digit therapeutics are novel software devices that clinicians may utilize in delivering quality mental health care and ensuring positive outcomes. However, uptake of digital therapeutics and clinically tested software-based programs remains low. This
Externí odkaz:
http://arxiv.org/abs/2207.05179
Autor:
Doraiswamy, Harish, Freire, Juliana
Given the massive growth in the volume of spatial data, there is a great need for systems that can efficiently evaluate spatial queries over large data sets. These queries are notoriously expensive using traditional database solutions. While faster r
Externí odkaz:
http://arxiv.org/abs/2203.14362
Autor:
Xenopoulos, Peter, Chan, Gromit, Doraiswamy, Harish, Nonato, Luis Gustavo, Barr, Brian, Silva, Claudio
Local explainability methods -- those which seek to generate an explanation for each prediction -- are becoming increasingly prevalent due to the need for practitioners to rationalize their model outputs. However, comparing local explainability metho
Externí odkaz:
http://arxiv.org/abs/2201.02155