| dispel4py: A Python framework for data-intensive scientific computing R Filguiera, A Krause, M Atkinson, I Klampanos, A Moreno The International Journal of High Performance Computing Applications 31 (4 …, 2017 | 66 | 2017 |
| iSurvive: An interpretable, event-time prediction model for mHealth WH Dempsey, A Moreno, CK Scott, ML Dennis, DH Gustafson, SA Murphy, ... International Conference on Machine Learning, 970-979, 2017 | 26 | 2017 |
| Automatic variational ABC A Moreno, T Adel, E Meeds, JM Rehg, M Welling arXiv preprint arXiv:1606.08549, 2016 | 13 | 2016 |
| Smokingopp: Detecting the smoking'opportunity'context using mobile sensors S Chatterjee, A Moreno, SL Lizotte, S Akther, E Ertin, CP Fagundes, ... Proceedings of the ACM on interactive, mobile, wearable and ubiquitous …, 2020 | 11 | 2020 |
| Learning continuous-time hidden markov models for event data YY Liu, A Moreno, S Li, F Li, L Song, JM Rehg Mobile Health: Sensors, Analytic Methods, and Applications, 361-387, 2017 | 10 | 2017 |
| The mobile assistance for regulating smoking (MARS) micro-randomized trial design protocol I Nahum-Shani, LN Potter, CY Lam, J Yap, A Moreno, R Stoffel, Z Wu, ... Contemporary clinical trials 110, 106513, 2021 | 6 | 2021 |
| A spatiotemporal approach to predicting glaucoma progression using a ct-hmm S Nagesh, A Moreno, H Ishikawa, G Wollstein, JS Shuman, JM Rehg Machine Learning for Healthcare Conference, 140-159, 2019 | 5 | 2019 |
| Speeding up large-scale financial recomputation with memoization A Moreno, T Balch 2014 Seventh Workshop on High Performance Computational Finance, 17-22, 2014 | 4 | 2014 |
| Improving Financial Computation Speed With Full and Subproblem Memoization A Moreno, T Balch Concurrency and Computation: Practice and Experience, 2015 | 2 | 2015 |
| Kernel Multimodal Continuous Attention A Moreno, Z Wu, S Nagesh, WH Dempsey, JM Rehg Advances in Neural Information Processing Systems, 2022 | 1* | 2022 |
| Transformers for prompt-level EMA non-response prediction S Nagesh, A Moreno, SM Carpenter, J Yap, S Chatterjee, SL Lizotte, ... arXiv preprint arXiv:2111.01193, 2021 | 1 | 2021 |
| Semi-Parametric Continuous-Time Models for Adverse Health Behaviors AF Moreno Georgia Institute of Technology, 2022 | | 2022 |
| PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation M Xu, A Moreno, S Nagesh, VB Aydemir, DW Wetter, S Kumar, JM Rehg Thirty-sixth Conference on Neural Information Processing Systems Datasets …, 2022 | | 2022 |
| Efficient Learning and Decoding of the Continuous-Time Hidden Markov Model for Disease Progression Modeling YY Liu, A Moreno, MA Xu, S Li, JC McDaniel, NC Brady, A Rozga, F Li, ... arXiv preprint arXiv:2110.13998, 2021 | | 2021 |
| A Robust Functional EM Algorithm for Incomplete Panel Count Data A Moreno, Z Wu, J Yap, D Wetter, C Lam, I Nahum-Shani, W Dempsey, ... Advances in Neural Information Processing Systems 33, 2020 | | 2020 |
| NOVEL USE OF MHEALTH DATA TO IDENTIFY STATES OF VULNERABILITY AND RECEPTIVITY TO JITAIS I Nahum-Shani, A Moreno, Z Wu, J Yap, C Lam, J Rehg, S Murphy, ... ANNALS OF BEHAVIORAL MEDICINE 54, S147-S147, 2020 | | 2020 |
| RESNA Annual Conference-2015 A Moreno, C Rozell, A Howard | | 2015 |
| PulseImpute: A Novel Benchmark Task and Architecture for Imputation of Physiological Signals M Xu, A Moreno, JM Rehg | | |
| Supplementary Material for “iSurvive: An Interpretable, Event-time Prediction Model for mHealth” WH Dempsey, A Moreno, CK Scott, ML Dennis, DH Gustafson, SA Murphy, ... | | |
James M. RehgProfessor of Computer Science, Georgia Institute of TechnologyVerified email at gatech.edu
