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pro vyhledávání: '"O'Banion, Shawn"'
Autor:
Ning, Lin, Liu, Luyang, Wu, Jiaxing, Wu, Neo, Berlowitz, Devora, Prakash, Sushant, Green, Bradley, O'Banion, Shawn, Xie, Jun
Large language models (LLMs) have revolutionized natural language processing. However, effectively incorporating complex and potentially noisy user interaction data remains a challenge. To address this, we propose User-LLM, a novel framework that lev
Externí odkaz:
http://arxiv.org/abs/2402.13598
Autor:
Barnes, Matt, Abueg, Matthew, Lange, Oliver F., Deeds, Matt, Trader, Jason, Molitor, Denali, Wulfmeier, Markus, O'Banion, Shawn
Inverse reinforcement learning (IRL) offers a powerful and general framework for learning humans' latent preferences in route recommendation, yet no approach has successfully addressed planetary-scale problems with hundreds of millions of states and
Externí odkaz:
http://arxiv.org/abs/2305.11290
Autor:
Liu, Luyang, Racz, David, Vaillancourt, Kara, Michelman, Julie, Barnes, Matt, Mellem, Stefan, Eastham, Paul, Green, Bradley, Armstrong, Charles, Bal, Rishi, O'Banion, Shawn, Guo, Feng
Road crashes are the sixth leading cause of lost disability-adjusted life-years (DALYs) worldwide. One major challenge in traffic safety research is the sparsity of crashes, which makes it difficult to achieve a fine-grain understanding of crash caus
Externí odkaz:
http://arxiv.org/abs/2202.01934
Autor:
Kapoor, Amol, Ben, Xue, Liu, Luyang, Perozzi, Bryan, Barnes, Matt, Blais, Martin, O'Banion, Shawn
In this work, we examine a novel forecasting approach for COVID-19 case prediction that uses Graph Neural Networks and mobility data. In contrast to existing time series forecasting models, the proposed approach learns from a single large-scale spati
Externí odkaz:
http://arxiv.org/abs/2007.03113
In this paper, we present a new approach to time series forecasting. Time series data are prevalent in many scientific and engineering disciplines. Time series forecasting is a crucial task in modeling time series data, and is an important area of ma
Externí odkaz:
http://arxiv.org/abs/2001.08317
Autor:
Liu, Luyang, Racz, David, Vaillancourt, Kara, Michelman, Julie, Barnes, Matt, Mellem, Stefan, Eastham, Paul, Green, Bradley, Armstrong, Charles, Bal, Rishi, O’Banion, Shawn, Guo, Feng
Publikováno v:
In Transportation Research Part C January 2023 146
Akademický článek
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Autor:
O'Banion, Shawn, Birnbaum, Larry
Publikováno v:
2013 IEEE/ACM International Conference on Advances in Social Networks Analysis & Mining (ASONAM 2013); 8/25/2013, p207-214, 8p