epiDMS: data management and analytics for decision-making from epidemic spread simulation ensembles S Liu, S Poccia, KS Candan, G Chowell, ML Sapino The Journal of infectious diseases 214 (suppl_4), S427-S432, 2016 | 41 | 2016 |
Notes2: Networks-of-traces for epidemic spread simulations S Liu, Y Garg, KS Candan, ML Sapino, G Chowell-Puente Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015 | 17 | 2015 |
SIMDMS: Data management and analysis to support decision making through large simulation ensembles SR Poccia, ML Sapino, L Sicong, C Xilun, G Yash, H Shengyu, HK Jung, ... Proceedings of the 20th International Conference on Extending Database …, 2017 | 12 | 2017 |
Robust multi-variate temporal features of multi-variate time series S Liu, SR Poccia, KS Candan, ML Sapino, X Wang ACM Transactions on Multimedia Computing, Communications, and Applications …, 2018 | 9 | 2018 |
Datastorm-FE: A data-and decision-flow and coordination engine for coupled simulation ensembles HW Behrens, KS Candan, X Chen, A Gadkari, Y Garg, ML Li, X Li, S Liu, ... Proceedings of the VLDB Endowment 11 (12), 1906-1909, 2018 | 4 | 2018 |