Zobrazeno 1 - 10
of 188
pro vyhledávání: '"Ram, Ashwin"'
In the era of social media platforms, identifying the credibility of online content is crucial to combat misinformation. We present the CREDiBERT (CREDibility assessment using Bi-directional Encoder Representations from Transformers), a source credib
Externí odkaz:
http://arxiv.org/abs/2402.10938
Sleep detection and annotation are crucial for researchers to understand sleep patterns, especially in children. With modern wrist-worn watches comprising built-in accelerometers, sleep logs can be collected. However, the annotation of these logs int
Externí odkaz:
http://arxiv.org/abs/2312.07561
Autor:
Ram, Ashwin
This paper represents a groundbreaking advancement in Parkinson disease (PD) research by employing a novel machine learning framework to categorize PD into distinct subtypes and predict its progression. Utilizing a comprehensive dataset encompassing
Externí odkaz:
http://arxiv.org/abs/2306.04748
Autor:
Du, Honglu, Venkatakrishnan, Anusha, Youngblood, Gregory Michael, Ram, Ashwin, Pirolli, Peter
Publikováno v:
JMIR mHealth and uHealth, Vol 4, Iss 1, p e4 (2016)
BackgroundNovel methods of promoting self-monitoring and social support are needed to ensure long-term maintenance of behavior change. In this paper, we directly investigate the effects of group support in an exercise and nutrition program delivered
Externí odkaz:
https://doaj.org/article/93603429f3134fd58a3a93e2bdc6a93a
Autor:
Guo, Fenfei, Metallinou, Angeliki, Khatri, Chandra, Raju, Anirudh, Venkatesh, Anu, Ram, Ashwin
Publikováno v:
Nips.Workshop.ConversationalAI 2017-12-08
Dialog evaluation is a challenging problem, especially for non task-oriented dialogs where conversational success is not well-defined. We propose to evaluate dialog quality using topic-based metrics that describe the ability of a conversational bot t
Externí odkaz:
http://arxiv.org/abs/1801.03622
Autor:
Venkatesh, Anu, Khatri, Chandra, Ram, Ashwin, Guo, Fenfei, Gabriel, Raefer, Nagar, Ashish, Prasad, Rohit, Cheng, Ming, Hedayatnia, Behnam, Metallinou, Angeliki, Goel, Rahul, Yang, Shaohua, Raju, Anirudh
Publikováno v:
NIPS.Workshop.ConversationalAI 2017-12-08 http://alborz-geramifard.com/workshops/nips17-Conversational-AI/Main.html accessed 2018-01-01
Conversational agents are exploding in popularity. However, much work remains in the area of non goal-oriented conversations, despite significant growth in research interest over recent years. To advance the state of the art in conversational AI, Ama
Externí odkaz:
http://arxiv.org/abs/1801.03625
Autor:
Ram, Ashwin, Prasad, Rohit, Khatri, Chandra, Venkatesh, Anu, Gabriel, Raefer, Liu, Qing, Nunn, Jeff, Hedayatnia, Behnam, Cheng, Ming, Nagar, Ashish, King, Eric, Bland, Kate, Wartick, Amanda, Pan, Yi, Song, Han, Jayadevan, Sk, Hwang, Gene, Pettigrue, Art
Publikováno v:
Alexa.Prize.Proceedings https://developer.amazon.com/alexaprize/proceedings accessed (2018)-01-01
Conversational agents are exploding in popularity. However, much work remains in the area of social conversation as well as free-form conversation over a broad range of domains and topics. To advance the state of the art in conversational AI, Amazon
Externí odkaz:
http://arxiv.org/abs/1801.03604
Autor:
Ram, Ashwin1 (AUTHOR), Veeraraghavan, Vishnupriya1 (AUTHOR), Selvaraj, J1 (AUTHOR), Gayathri, R1 (AUTHOR), Kavitha, S1 (AUTHOR)
Publikováno v:
Journal of Advanced Pharmaceutical Technology & Research. 2022 Suppl 1, Vol. 13, p342-347. 6p.
Autor:
Ram, Ashwin Jaikumar1 151801056.sdc@saveetha.com, Gajendran, Priya Lochana2, Murthykumar, Karthikeyan3 karthikeyanmurthykumar@gmail.com, Ganapathy, Dhanraj4 dhanrajmganapathy@yahoo.co.in
Publikováno v:
Journal of Pharmaceutical Negative Results. 2022 Special Issue, Vol. 13, p879-886. 8p.