Zobrazeno 1 - 10
of 5 235
pro vyhledávání: '"Pandita A"'
Autor:
Gupta P, Nagesh K, Garg P, Thomas J, Suryawanshi P, Sethuraman G, Hazarika RD, Verma RJ, Kumar CS, Kumari S, Taneja S, Chavhan V, Thakor P, Pandita A
Publikováno v:
Pediatric Health, Medicine and Therapeutics, Vol Volume 14, Pp 249-265 (2023)
Piyush Gupta,1,* Karthik Nagesh,2,* Pankaj Garg,3,* Jayakar Thomas,4,* Pradeep Suryawanshi,5,* Giridhar Sethuraman,6,* Rashna Dass Hazarika,7,* Rahul J Verma,8,* C Suresh Kumar,9,* Shantha Kumari,10,* Sunil Tan
Externí odkaz:
https://doaj.org/article/66fb3d431893409f9055eeb5cc2b93ba
Autor:
Dutta, Sujan, Pandita, Deepak, Weerasooriya, Tharindu Cyril, Zampieri, Marcos, Homan, Christopher M., KhudaBukhsh, Ashiqur R.
Ensuring annotator quality in training and evaluation data is a key piece of machine learning in NLP. Tasks such as sentiment analysis and offensive speech detection are intrinsically subjective, creating a challenging scenario for traditional qualit
Externí odkaz:
http://arxiv.org/abs/2409.12218
Autor:
Choudhuri, Rudrajit, Trinkenreich, Bianca, Pandita, Rahul, Kalliamvakou, Eirini, Steinmacher, Igor, Gerosa, Marco, Sanchez, Christopher, Sarma, Anita
Generative AI (genAI) tools, such as ChatGPT or Copilot, are advertised to improve developer productivity and are being integrated into software development. However, misaligned trust, skepticism, and usability concerns can impede the adoption of suc
Externí odkaz:
http://arxiv.org/abs/2409.04099
Autor:
Pandita, Deepak, Weerasooriya, Tharindu Cyril, Dutta, Sujan, Luger, Sarah K., Ranasinghe, Tharindu, KhudaBukhsh, Ashiqur R., Zampieri, Marcos, Homan, Christopher M.
Human feedback is essential for building human-centered AI systems across domains where disagreement is prevalent, such as AI safety, content moderation, or sentiment analysis. Many disagreements, particularly in politically charged settings, arise b
Externí odkaz:
http://arxiv.org/abs/2408.08411
Autor:
Comlek, Yigitcan, Ravi, Sandipp Krishnan, Pandita, Piyush, Ghosh, Sayan, Wang, Liping, Chen, Wei
Artificial intelligence and machine learning frameworks have served as computationally efficient mapping between inputs and outputs for engineering problems. These mappings have enabled optimization and analysis routines that have warranted superior
Externí odkaz:
http://arxiv.org/abs/2407.11268
Autor:
Ravi, Sandipp Krishnan, Comlek, Yigitcan, Pathak, Arjun, Gupta, Vipul, Umretiya, Rajnikant, Hoffman, Andrew, Pilania, Ghanshyam, Pandita, Piyush, Ghosh, Sayan, Mckeever, Nathaniel, Chen, Wei, Wang, Liping
With the advent of artificial intelligence and machine learning, various domains of science and engineering communities have leveraged data-driven surrogates to model complex systems through fusing numerous sources of information (data) from publishe
Externí odkaz:
http://arxiv.org/abs/2402.04146
Autor:
Parnin, Chris, Soares, Gustavo, Pandita, Rahul, Gulwani, Sumit, Rich, Jessica, Henley, Austin Z.
A race is underway to embed advanced AI capabilities into products. These product copilots enable users to ask questions in natural language and receive relevant responses that are specific to the user's context. In fact, virtually every large techno
Externí odkaz:
http://arxiv.org/abs/2312.14231
We describe the design of an immersive virtual Cyberball task that included avatar customization, and user feedback on this design. We first created a prototype of an avatar customization template and added it to a Cyberball prototype built in the Un
Externí odkaz:
http://arxiv.org/abs/2312.02897
Publikováno v:
Diabetes, Metabolic Syndrome and Obesity, Vol 2016, Iss Issue 1, Pp 83-89 (2016)
Aakash Pandita,1 Deepak Sharma,2 Dharti Pandita,3 Smita Pawar,4 Mir Tariq,5 Avinash Kaul6 1Department of Pediatrics, SMGS Hospital Jammu, Jammu and Kashmir, India; 2Department of Pediatrics, Pt Bhagwat Dayal Sharma Post Graduate Institute of Medical
Externí odkaz:
https://doaj.org/article/c0e29f71e1e941879fb58a3a5f069818
Publikováno v:
International Journal of Energy Sector Management, 2024, Vol. 18, Issue 6, pp. 1767-1786.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJESM-06-2023-0004