| Forecasting traffic flow: Short term, long term, and when it rains H Peng, SU Bobade, ME Cotterell, JA Miller Big Data–BigData 2018: 7th International Congress, Held as Part of the …, 2018 | 25 | 2018 |
| Using meta-learning for model type selection in predictive big data analytics MV Nural, H Peng, JA Miller 2017 IEEE International Conference on Big Data (Big Data), 2027-2036, 2017 | 18 | 2017 |
| Automated Predictive Big Data Analytics Using Ontology Based Semantics MV Nural, ME Cotterell, H Peng, R Xie, P Ma, JA Miller International Journal of Big Data 2 (2), 43-56, 2015 | 15 | 2015 |
| Knowledge and situation-aware vehicle traffic forecasting H Peng, N Klepp, M Toutiaee, IB Arpinar, JA Miller 2019 IEEE International Conference on Big Data (Big Data), 3803-3812, 2019 | 10 | 2019 |
| Advanced tutorial on microscopic discrete-event traffic simulation JA Miller, H Peng, CN Bowman 2017 Winter Simulation Conference (WSC), 705-719, 2017 | 7 | 2017 |
| Adding support for theory in open science big data JA Miller, H Peng, ME Cotterell 2017 IEEE World Congress on Services (SERVICES), 71-75, 2017 | 7 | 2017 |
| Bayesian networks with structural restrictions: Parallelization, performance, and efficient cross-validation H Peng, Z Jin, JA Miller 2017 IEEE International Congress on Big Data (BigData Congress), 7-14, 2017 | 6 | 2017 |
| Mining massive hierarchical data using a scalable probabilistic graphical model K AlJadda, M Korayem, C Ortiz, T Grainger, JA Miller, KM Rasheed, ... Information sciences 425, 62-75, 2018 | 4 | 2018 |
| Multi-step short term traffic flow forecasting using temporal and spatial data H Peng, JA Miller Big Data–BigData 2019: 8th International Congress, Held as Part of the …, 2019 | 3 | 2019 |
| Forecasting Vehicle Traffic with Big Data H Peng University of Georgia, 2019 | | 2019 |
John A. MillerProfessor of Computer Science, University of GeorgiaVerified email at cs.uga.edu
