| Multiomics characterization of preterm birth in low-and middle-income countries F Jehan, S Sazawal, AH Baqui, MI Nisar, U Dhingra, R Khanam, M Ilyas, ... JAMA network open 3 (12), e2029655-e2029655, 2020 | 63 | 2020 |
| Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions A Culos, AS Tsai, N Stanley, M Becker, MS Ghaemi, DR McIlwain, ... Nature machine intelligence 2 (10), 619-628, 2020 | 53 | 2020 |
| An ensemble stacked model with bias correction for improved water demand forecasting M Xenochristou, Z Kapelan Urban Water Journal 17 (3), 212-223, 2020 | 49 | 2020 |
| Water demand forecasting accuracy and influencing factors at different spatial scales using a gradient boosting machine M Xenochristou, C Hutton, J Hofman, Z Kapelan Water Resources Research 56 (8), e2019WR026304, 2020 | 42 | 2020 |
| Data-driven modeling of pregnancy-related complications C Espinosa, M Becker, I Marić, RJ Wong, GM Shaw, B Gaudilliere, ... Trends in molecular medicine 27 (8), 762-776, 2021 | 40 | 2021 |
| VoPo leverages cellular heterogeneity for predictive modeling of single-cell data N Stanley, IA Stelzer, AS Tsai, R Fallahzadeh, E Ganio, M Becker, ... Nature communications 11 (1), 3738, 2020 | 37 | 2020 |
| Using smart demand-metering data and customer characteristics to investigate influence of weather on water consumption in the UK M Xenochristou, Z Kapelan, C Hutton Journal of Water Resources Planning and Management 146 (2), 04019073, 2020 | 28 | 2020 |
| Assessing the impact of climate change on future water demand using weather data D Fiorillo, Z Kapelan, M Xenochristou, F De Paola, M Giugni Water Resources Management 35 (5), 1449-1462, 2021 | 26 | 2021 |
| Federated benchmarking of medical artificial intelligence with MedPerf A Karargyris, R Umeton, MJ Sheller, A Aristizabal, J George, A Wuest, ... Nature Machine Intelligence 5 (7), 799-810, 2023 | 25 | 2023 |
| Early prediction and longitudinal modeling of preeclampsia from multiomics I Marić, K Contrepois, MN Moufarrej, IA Stelzer, D Feyaerts, X Han, ... Patterns 3 (12), 2022 | 22 | 2022 |
| Short-term forecasting of household water demand in the UK using an interpretable machine learning approach M Xenochristou, C Hutton, J Hofman, Z Kapelan Journal of Water Resources Planning and Management 147 (4), 04021004, 2021 | 21 | 2021 |
| Medperf: open benchmarking platform for medical artificial intelligence using federated evaluation A Karargyris, R Umeton, MJ Sheller, A Aristizabal, J George, S Bala, ... arXiv preprint arXiv:2110.01406, 2021 | 16 | 2021 |
| Smart water demand forecasting: Learning from the data M Xenochristou, Z Kapelan, C Hutton, J Hofman EPiC Ser. Eng 3, 2351-2358, 2018 | 14 | 2018 |
| Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low-and middle-income countries CA Espinosa, W Khan, R Khanam, S Das, J Khalid, J Pervin, MP Kasaro, ... Science advances 9 (21), eade7692, 2023 | 13 | 2023 |
| Objective activity parameters track patient-specific physical recovery trajectories after surgery and link with individual preoperative immune states R Fallahzadeh, F Verdonk, E Ganio, A Culos, N Stanley, I Maric, ... Annals of surgery 277 (3), e503-e512, 2023 | 10 | 2023 |
| Alliance for Maternal and Newborn Health Improvement, the Global Alliance to Prevent Prematurity and Stillbirth, and the Prematurity Research Center at Stanford University … F Jehan, S Sazawal, AH Baqui, MI Nisar, U Dhingra, R Khanam, M Ilyas, ... JAMA Netw Open 3 (12), e2029655, 2020 | 9 | 2020 |
| Investigating the Influence of Weather on Water Consumption: a Dutch Case Study:(032) M Xenochristou, M Blokker WDSA/CCWI Joint Conference Proceedings 1, 2018 | 8 | 2018 |
| Water demand forecasting using machine learning on weather and smart metering data M Xenochristou PQDT-UK & Ireland, 2019 | 7 | 2019 |
| Identifying relationships between weather variables and domestic water consumption using smart metering M Xenochristou, Z Kapelan, C Hutton, J Hofman Proceedings of the CCWI, 2017 | 6 | 2017 |
| Large-scale correlation network construction for unraveling the coordination of complex biological systems M Becker, H Nassar, C Espinosa, IA Stelzer, D Feyaerts, E Berson, ... Nature Computational Science 3 (4), 346-359, 2023 | 5 | 2023 |
Zoran KapelanChair and Professor of Urban Water InfrastructureVerified email at tudelft.nl
