| A non-linear traffic flow-based queuing model to estimate container terminal throughput with AGVs D Roy, A Gupta, RBM De Koster International Journal of Production Research 54 (2), 472-493, 2016 | 60 | 2016 |
| Cost-effective pallet management strategies D Roy, AL Carrano, JA Pazour, A Gupta Transportation Research Part E: Logistics and Transportation Review 93, 358-371, 2016 | 57 | 2016 |
| Optimal stack layout in a sea container terminal with automated lifting vehicles A Gupta, D Roy, R de Koster, S Parhi International Journal of Production Research 55 (13), 3747-3765, 2017 | 37 | 2017 |
| Developing a machine learning framework to determine the spread of COVID-19 in the USA using meteorological, social, and demographic factors A Gupta, A Gharehgozli International Journal of Data Mining, Modelling and Management 14 (2), 89-109, 2022 | 26 | 2022 |
| Using statistical and machine learning methods to evaluate the prognostic accuracy of SIRS and qSOFA A Gupta, T Liu, S Shepherd, W Paiva Healthcare informatics research 24 (2), 139, 2018 | 26 | 2018 |
| Clinical decision support system to assess the risk of sepsis using tree augmented Bayesian networks and electronic medical record data A Gupta, T Liu, S Shepherd Health informatics journal 26 (2), 841-861, 2020 | 21 | 2020 |
| Utilizing time series data embedded in electronic health records to develop continuous mortality risk prediction models using hidden Markov models: a sepsis case study A Gupta, T Liu, C Crick Statistical methods in medical research 29 (11), 3409-3423, 2020 | 17 | 2020 |
| Optimal sepsis patient treatment using human-in-the-loop artificial intelligence A Gupta, MT Lash, SK Nachimuthu Expert Systems with Applications 169, 114476, 2021 | 8 | 2021 |
| Developing Clinical Decision Support Systems for Sepsis Prediction Using Temporal and Non-temporal Machine Learning Methods A Gupta Oklahoma State University, 2019 | 1 | 2019 |
| Optimising the number of course sections given optimal course sequence to support student retention A Gupta, A Gharehgozli, SK Paik International Journal of Business Intelligence and Data Mining 21 (4), 484-509, 2022 | | 2022 |
| Developing a Machine Learning Framework to Determine the Spread of COVID-19 using Climatological, Meteorological and Environmental factors. A Gupta, A Gharehgozli Climatological, Meteorological, and Environmental factors in the COVID-19 …, 2020 | | 2020 |
| Optimal stack layout in a sea container terminal with automated lifting vehicles D Roy, A Gupta, S Parhi, MBM De Koster ERIM Report Series Reference No. ERS-2014-012-LIS, 2014 | | 2014 |
