Zobrazeno 1 - 10
of 188
pro vyhledávání: '"Ram Ashwin"'
Fake news threatens democracy and exacerbates the polarization and divisions in society; therefore, accurately detecting online misinformation is the foundation of addressing this issue. We present CrediRAG, the first fake news detection model that c
Externí odkaz:
http://arxiv.org/abs/2410.12061
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:
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
Publikováno v:
In HydroResearch 2020 3:134-145
Autor:
Gruber, Joshua J., Geller, Benjamin, Lipchik, Andrew M., Chen, Justin, Salahudeen, Ameen A., Ram, Ashwin N., Ford, James M., Kuo, Calvin J., Snyder, Michael P.
Publikováno v:
In Molecular Cell 22 August 2019 75(4):711-724