Zobrazeno 1 - 10
of 5 371
pro vyhledávání: '"Pandita, A."'
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
Publikováno v:
47th IEEE/ACM International Conference on Software Engineering (ICSE 2025)
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
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
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
Autor:
Vaibhav Pandita, Vidya Ajila, Subhas Babu, Suchetha N Kumari, Shruthi Hegde, Mohamed Faizal Asan
Publikováno v:
Gülhane Tıp Dergisi, Vol 66, Iss 4, Pp 185-189 (2024)
Aims: Oral cancer remains a substantial global health burden. Oral squamous cell carcinoma (OSCC) is a multi-step process characterized by invasive cancer and metastasis. Mucin 4 (MUC4) has been studied for its differential expression in cancer. The
Externí odkaz:
https://doaj.org/article/850121d3f0b3486b8bc187118c36c1aa
Autor:
Akash Nanavaty, Rishikesh Sharma, Bhuman Pandita, Ojasva Goyal, Srinivas Rallapalli, Murari Mandal, Vaibhav Kumar Singh, Pratik Narang, Vinay Chamola
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract This paper presents a novel approach to agricultural disease diagnostics through the integration of Deep Learning (DL) techniques with Visual Question Answering (VQA) systems, specifically targeting the detection of wheat rust. Wheat rust is
Externí odkaz:
https://doaj.org/article/fd59ad89eb4843e5866a8ac186e28e93