| Deep transformer models for time series forecasting: The influenza prevalence case N Wu, B Green, X Ben, S O'Banion arXiv preprint arXiv:2001.08317, 2020 | 542 | 2020 |
| Examining covid-19 forecasting using spatio-temporal graph neural networks A Kapoor, X Ben, L Liu, B Perozzi, M Barnes, M Blais, S O'Banion arXiv preprint arXiv:2007.03113, 2020 | 223 | 2020 |
| Modeling the effect of exposure notification and non-pharmaceutical interventions on COVID-19 transmission in Washington state M Abueg, R Hinch, N Wu, L Liu, W Probert, A Wu, P Eastham, Y Shafi, ... NPJ digital medicine 4 (1), 49, 2021 | 77 | 2021 |
| Modeling the combined effect of digital exposure notification and non-pharmaceutical interventions on the COVID-19 epidemic in Washington state M Abueg, R Hinch, N Wu, L Liu, W Probert, A Wu, P Eastham, Y Shafi, ... MedRxiv, 2020.08. 29.20184135, 2020 | 74 | 2020 |
| Deep transformer models for time series forecasting: The influenza prevalence case. arXiv 2020 N Wu, B Green, X Ben, S O’banion arXiv preprint arXiv:2001.08317, 2001 | 56 | 2001 |
| Social media-driven news personalization S O'Banion, L Birnbaum, K Hammond Proceedings of the 4th ACM RecSys workshop on Recommender systems and the …, 2012 | 28 | 2012 |
| Linguistic expression of preferences in social media for prediction and recommendation LA Birnbaum, S O'banion US Patent 10,685,181, 2020 | 20 | 2020 |
| Using explicit linguistic expressions of preference in social media to predict voting behavior S O'Banion, L Birnbaum Proceedings of the 2013 IEEE/ACM International Conference on Advances in …, 2013 | 17 | 2013 |
| Deep transformer models for time series forecasting: the influenza prevalence case (2020) N Wu, B Green, X Ben, S O’Banion arXiv preprint arXiv:2001.08317, 2001 | 17 | 2001 |
| Examining COVID–19 Forecasting using Spatio–Temporal Graph Neural Networks (2020) A Kapoor, X Ben, L Liu, B Perozzi, M Barnes, M Blais, S O’Banion arXiv preprint arXiv:2007.03113, 2007 | 11 | 2007 |
| Smartphone-based hard-braking event detection at scale for road safety services L Liu, D Racz, K Vaillancourt, J Michelman, M Barnes, S Mellem, ... Transportation research part C: emerging technologies 146, 103949, 2023 | 10 | 2023 |
| Using DyKnow Software to support group work: A mixed-method evaluation D Berque, T Bonebright, J Dart, Z Koch, S O’Banion JC Prey, RH Reed, & DA Berque, The Impact of Tablet PCs and Pen-Based …, 2007 | 10 | 2007 |
| Examining COVID-19 forecasting using spatio-temporal graph neural networks. arXiv A Kapoor, X Ben, L Liu, B Perozzi, M Barnes, M Blais, S O’Banion arXiv preprint arXiv:2007.03113, 2020 | 9 | 2020 |
| Examining covid-19 forecasting using spatio-temporal graph neural networks. arXiv 2020 A Kapoor, X Ben, L Liu, B Perozzi, M Barnes, M Blais, S O’Banion arXiv preprint arXiv:2007.03113, 2007 | 8 | 2007 |
| Estimating the changing infection rate of COVID-19 using Bayesian models of mobility L Liu, S Vikram, J Lao, X Ben, A D’Amour, S O’Banion, M Sandler, ... medRxiv, 2020.08. 06.20169664, 2020 | 7 | 2020 |
| Predicting onset of COVID-19 with mobility-augmented SEIR model N Wu, X Ben, B Green, K Rough, S Venkatramanan, M Marathe, ... medRxiv, 2020.07. 27.20159996, 2020 | 5 | 2020 |
| Online Federated Learning of Embeddings BR Green, SR O'banion US Patent App. 17/770,919, 2022 | 3 | 2022 |
| Massively Scalable Inverse Reinforcement Learning in Google Maps M Barnes, M Abueg, OF Lange, M Deeds, J Trader, D Molitor, ... arXiv preprint arXiv:2305.11290, 2023 | 1 | 2023 |
| User-LLM: Efficient LLM Contextualization with User Embeddings L Ning, L Liu, J Wu, N Wu, D Berlowitz, S Prakash, B Green, S O'Banion, ... arXiv preprint arXiv:2402.13598, 2024 | | 2024 |
| Massively Scalable Inverse Reinforcement Learning for Route Optimization M Barnes, M Abueg, OF Lange, M Deeds, J Trader, D Molitor, ... The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
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