Zobrazeno 1 - 10 of 63 pro vyhledávání: '"Ramit Sawhney"'
5
Cryptocurrency Bubble Detection: A New Stock Market Dataset, Financial Task & Hyperbolic Models
Autor: Ramit Sawhney, Shivam Agarwal, Vivek Mittal, Paolo Rosso, Vikram Nanda, Sudheer Chava
The rapid spread of information over social media influences quantitative trading and investments. The growing popularity of speculative trading of highly volatile assets such as cryptocurrencies and meme stocks presents a fresh challenge in the fina
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8bb315893a30ff03364b0f27d66d2b5
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7
Towards Emotion- and Time-Aware Classification of Tweets to Assist Human Moderation for Suicide Prevention
Autor: Ramit Sawhney, Harshit Joshi, Alicia Nobles, Rajiv Ratn Shah
Publikováno v: Proceedings of the International AAAI Conference on Web and Social Media. 15:609-620
Social media platforms are already engaged in leveraging existing online socio-technical systems to employ just-in-time interventions for suicide prevention to the public. These efforts primarily rely on self-reports of potential self-harm content th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cc77ec978dfa4176b5652f0d263b97f4
https://doi.org/10.1609/icwsm.v15i1.18088
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8
Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach
Autor: Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Tyler Derr, Rajiv Ratn Shah
Publikováno v: Proceedings of the AAAI Conference on Artificial Intelligence. 35:497-504
Quantitative trading and investment decision making are intricate financial tasks that rely on accurate stock selection. Despite advances in deep learning that have made significant progress in the complex and highly stochastic stock prediction probl
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::381f8b24fce0aedd3634d3e69e79ab29
https://doi.org/10.1609/aaai.v35i1.16127
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9
Robust suicide risk assessment on social media via deep adversarial learning
Autor: Di Jin, Harshit Joshi, Saumya Gandhi, Rajiv Ratn Shah, Ramit Sawhney
Publikováno v: J Am Med Inform Assoc
Objective The prevalence of social media for sharing personal thoughts makes it a viable platform for the assessment of suicide risk. However, deep learning models are not able to capture the diverse nature of linguistic choices and temporal patterns
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::439cb9f4a31b479aa4a913ffb76b8c36
https://doi.org/10.1093/jamia/ocab031
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