Zobrazeno 1 - 10
of 2 560
pro vyhledávání: '"Daga P"'
Autor:
Tiwari Ramakant, Devnani Bharti, Thirunavukkarasu Balamurugan, Pareek Puneet, Daga Prateek, Kumar Amit
Publikováno v:
Cancer Treatment and Research Communications, Vol 36, Iss , Pp 100737- (2023)
Externí odkaz:
https://doaj.org/article/91ed73c4894b4c3eb97fa39e72dffa22
Autor:
Díaz-Aranda, Sergio, Ramírez, Juan Marcos, Daga, Mohit, Champati, Jaya Prakash, Aguilar, José, Lillo, Rosa Elvira, Anta, Antonio Fernández
Epidemiologists and social scientists have used the Network Scale-Up Method (NSUM) for over thirty years to estimate the size of a hidden sub-population within a social network. This method involves querying a subset of network nodes about the number
Externí odkaz:
http://arxiv.org/abs/2407.10640
Publikováno v:
2nd EuropeaN Data conference On Reference data and SEmantics (ENDORSE) 2023. Virtual event 14-16 March 2023. Proceedings, Publications Office of the European Union, 2023
What should a data integration framework for knowledge engineers look like? Recent research on Knowledge Graph construction proposes the design of a fa\c{c}ade, a notion borrowed from object-oriented software engineering. This idea is applied to SPAR
Externí odkaz:
http://arxiv.org/abs/2310.16700
Autor:
Jain, Rahul, Saha, Anoushka, Daga, Gourav, Bhattacharya, Durba, Gupta, Madhura Das, Chowdhury, Sourav, Roychowdhury, Suparna
Type 2 diabetes mellitus represents a prevalent and widespread global health concern, necessitating a comprehensive assessment of its risk factors. This study aimed towards learning whether there is any differential impact of age, Lifestyle, BMI and
Externí odkaz:
http://arxiv.org/abs/2311.10731
Experiential AI is an emerging research field that addresses the challenge of making AI tangible and explicit, both to fuel cultural experiences for audiences, and to make AI systems more accessible to human understanding. The central theme is how ar
Externí odkaz:
http://arxiv.org/abs/2306.02327
Autor:
Daga, Harshit, Shin, Jaemin, Garg, Dhruv, Gavrilovska, Ada, Lee, Myungjin, Kompella, Ramana Rao
Distributed machine learning approaches, including a broad class of federated learning (FL) techniques, present a number of benefits when deploying machine learning applications over widely distributed infrastructures. The benefits are highly depende
Externí odkaz:
http://arxiv.org/abs/2305.05118
Autor:
Daga, Mohit
We give a closed form formula to determine the size of a k-respecting cut. Further, we show that for any k, the size of the k-respecting cut can be found only using the size of 2-respecting cuts.
Externí odkaz:
http://arxiv.org/abs/2210.13320
Collaborative data collection initiatives are increasingly becoming pivotal to cultural institutions and scholars, to boost the population of born-digital archives. For over a decade, organisations have been leveraging Semantic Web technologies to de
Externí odkaz:
http://arxiv.org/abs/2206.08259
Autor:
Saini, Naresh, Pinto, Promodh, Bheemaraj, Aravinth, Kumar, Deepak, Daga, Dhiraj, Yadav, Saurabh, Nagaraj, Srihari
We present the largest publicly available synthetic OCR benchmark dataset for Indic languages. The collection contains a total of 90k images and their ground truth for 23 Indic languages. OCR model validation in Indic languages require a good amount
Externí odkaz:
http://arxiv.org/abs/2205.02543
Autor:
Sehanobish, Arijit, Brown, Nathaniel, Daga, Ishita, Pawar, Jayashri, Torres, Danielle, Das, Anasuya, Becker, Murray, Herzog, Richard, Odry, Benjamin, Vianu, Ron
Pretrained Transformer based models finetuned on domain specific corpora have changed the landscape of NLP. Generally, if one has multiple tasks on a given dataset, one may finetune different models or use task specific adapters. In this work, we sho
Externí odkaz:
http://arxiv.org/abs/2204.04544