| Expanded encyclopaedias of DNA elements in the human and mouse genomes JE Moore, MJ Purcaro, HE Pratt, CB Epstein, N Shoresh, J Adrian, T Kawli, ... Nature 583 (7818), 699-710, 2020 | 1499 | 2020 |
| Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records L Huang, AL Shea, H Qian, A Masurkar, H Deng, D Liu Journal of biomedical informatics 99, 103291, 2019 | 458 | 2019 |
| LoAdaBoost: Loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data L Huang, Y Yin, Z Fu, S Zhang, H Deng, D Liu Plos one 15 (4), e0230706, 2020 | 250 | 2020 |
| The role of absolute humidity on transmission rates of the COVID-19 outbreak W Luo, MS Majumder, D Liu, C Poirier, KD Mandl, M Lipsitch, ... MedRxiv, 2020.02. 12.20022467, 2020 | 249 | 2020 |
| The role of environmental factors on transmission rates of the COVID-19 outbreak: an initial assessment in two spatial scales C Poirier, W Luo, MS Majumder, D Liu, KD Mandl, TA Mooring, ... Scientific reports 10 (1), 17002, 2020 | 160 | 2020 |
| A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models D Liu, L Clemente, C Poirier, X Ding, M Chinazzi, JT Davis, A Vespignani, ... arXiv preprint arXiv:2004.04019, 2020 | 155 | 2020 |
| Perspectives on ENCODE MP Snyder, TR Gingeras, JE Moore, Z Weng, MB Gerstein, B Ren, ... Nature 583 (7818), 693-698, 2020 | 112 | 2020 |
| High-throughput 5′ UTR engineering for enhanced protein production in non-viral gene therapies J Cao, EM Novoa, Z Zhang, WCW Chen, D Liu, GCG Choi, ASL Wong, ... Nature communications 12 (1), 4138, 2021 | 104 | 2021 |
| Two-stage federated phenotyping and patient representation learning D Liu, D Dligach, T Miller Proceedings of the 18th BioNLP Workshop, 2019 | 102 | 2019 |
| FADL: Federated-Autonomous Deep Learning for Distributed Electronic Health Record D Liu, T Miller, R Sayeed, K Mandl NIPS Machine Learning for Health (ML4H) Workshop, 2018 | 100 | 2018 |
| Flow: A dataset and benchmark for floating waste detection in inland waters Y Cheng, J Zhu, M Jiang, J Fu, C Pang, P Wang, K Sankaran, O Onabola, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 98 | 2021 |
| Systems and methods for crowdsourcing, analyzing, and/or matching personal data Z Zhang, M Kellis, D Liu, A Kim, L Huang, S Nuckchady US Patent 11,593,512, 2023 | 94 | 2023 |
| Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models D Liu, L Clemente, C Poirier, X Ding, M Chinazzi, J Davis, A Vespignani, ... Journal of medical Internet research 22 (8), e20285, 2020 | 71 | 2020 |
| DeepFaceLIFT: interpretable personalized models for automatic estimation of self-reported pain D Liu, F Peng, A Shea, R Picard Journal of Machine Learning Research 66, 1-16, 2017 | 65 | 2017 |
| Discrete-valued neural communication D Liu, AM Lamb, K Kawaguchi, AG ALIAS PARTH GOYAL, C Sun, ... Advances in Neural Information Processing Systems 34, 2109-2121, 2021 | 57 | 2021 |
| Maintenance of distinct melanocyte populations in the interfollicular epidermis JD Glover, S Knolle, KL Wells, D Liu, IJ Jackson, RL Mort, DJ Headon Pigment Cell & Melanoma Research 28 (4), 476-480, 2015 | 47 | 2015 |
| Federated pretraining and fine tuning of bert using clinical notes from multiple silos D Liu, T Miller arXiv preprint arXiv:2002.08562, 2020 | 37 | 2020 |
| FeARH: Federated machine learning with anonymous random hybridization on electronic medical records J Cui, H Zhu, H Deng, Z Chen, D Liu Journal of Biomedical Informatics 117, 103735, 2021 | 32 | 2021 |
| Machine learning methods for automatic pain assessment using facial expression information: Protocol for a systematic review and meta-analysis D Liu, D Cheng, TT Houle, L Chen, W Zhang, H Deng Medicine 97 (49), e13421, 2018 | 29 | 2018 |
| Machine learning approaches to predicting no-shows in pediatric medical appointment D Liu, WY Shin, E Sprecher, K Conroy, O Santiago, G Wachtel, ... NPJ digital medicine 5 (1), 50, 2022 | 25 | 2022 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
