| The need for uncertainty quantification in machine-assisted medical decision making E Begoli, T Bhattacharya, D Kusnezov Nature Machine Intelligence 1 (1), 20-23, 2019 | 474 | 2019 |
| Design principles for effective knowledge discovery from big data E Begoli, J Horey 2012 Joint Working IEEE/IFIP Conference on Software Architecture and …, 2012 | 241 | 2012 |
| Apache calcite: A foundational framework for optimized query processing over heterogeneous data sources E Begoli, J Camacho-Rodríguez, J Hyde, MJ Mior, D Lemire Proceedings of the 2018 International Conference on Management of Data, 221-230, 2018 | 236 | 2018 |
| A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier F van Wyk, A Khojandi, A Mohammed, E Begoli, RL Davis, ... International journal of medical informatics 122, 55-62, 2019 | 70 | 2019 |
| One SQL to rule them all-an efficient and syntactically idiomatic approach to management of streams and tables E Begoli, T Akidau, F Hueske, J Hyde, K Knight, K Knowles Proceedings of the 2019 International Conference on Management of Data, 1757 …, 2019 | 60 | 2019 |
| Understanding the pros and cons of big data analytics K Bottles, E Begoli, B Worley Physician executive 40 (4), 6-12, 2014 | 59 | 2014 |
| Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data C Hong, E Rush, M Liu, D Zhou, J Sun, A Sonabend, VM Castro, ... NPJ digital medicine 4 (1), 151, 2021 | 51 | 2021 |
| Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program A Verma, JE Huffman, A Rodriguez, M Conery, M Liu, YL Ho, Y Kim, ... Science 385 (6706), eadj1182, 2024 | 49 | 2024 |
| Big data platforms as a service: challenges and approach J Horey, E Begoli, R Gunasekaran, SH Lim, J Nutaro 4th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud '12), 2012 | 47 | 2012 |
| A short survey on the state of the art in architectures and platforms for large scale data analysis and knowledge discovery from data E Begoli Proceedings of the WICSA/ECSA 2012 Companion Volume, 177-183, 2012 | 42 | 2012 |
| Watermarks in stream processing systems: Semantics and comparative analysis of apache flink and google cloud dataflow T Akidau, E Begoli, S Chernyak, F Hueske, K Knight, K Knowles, D Mills, ... Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States) 14 (12), 2021 | 41 | 2021 |
| Unstructured clinical notes within the 24 hours since admission predict short, mid & long-term mortality in adult ICU patients M Mahbub, S Srinivasan, I Danciu, A Peluso, E Begoli, S Tamang, ... Plos one 17 (1), e0262182, 2022 | 35 | 2022 |
| A lakehouse architecture for the management and analysis of heterogeneous data for biomedical research and mega-biobanks E Begoli, I Goethert, K Knight 2021 IEEE International Conference on Big Data (Big Data), 4643-4651, 2021 | 32 | 2021 |
| Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)–based ranking for concept normalization D Xu, M Gopale, J Zhang, K Brown, E Begoli, S Bethard Journal of the American Medical Informatics Association 27 (10), 1510-1519, 2020 | 27 | 2020 |
| Integrating apache spark into pbs-based hpc environments T Baer, P Peltz, J Yin, E Begoli Proceedings of the 2015 XSEDE Conference: Scientific Advancements Enabled by …, 2015 | 21 | 2015 |
| sciCAN: single-cell chromatin accessibility and gene expression data integration via cycle-consistent adversarial network Y Xu, E Begoli, RP McCord NPJ Systems Biology and Applications 8 (1), 33, 2022 | 18 | 2022 |
| AI reflections in 2019 AS Rich, C Rudin, DMP Jacoby, R Freeman, OR Wearn, H Shevlin, ... Nature Machine Intelligence 2 (1), 2-9, 2020 | 17 | 2020 |
| Towards a heterogeneous, polystore-like data architecture for the US Department of Veteran Affairs (VA) enterprise analytics E Begoli, D Kistler, J Bates 2016 IEEE International Conference on Big Data (Big Data), 2550-2554, 2016 | 17 | 2016 |
| Multimodal representation learning for predicting molecule–disease relations J Wen, X Zhang, E Rush, VA Panickan, X Li, T Cai, D Zhou, YL Ho, ... Bioinformatics 39 (2), btad085, 2023 | 16 | 2023 |
| Pharmacoepidemiology, machine learning, and COVID-19: an intent-to-treat analysis of hydroxychloroquine, with or without Azithromycin, and COVID-19 outcomes among hospitalized … H Gerlovin, DC Posner, YL Ho, CT Rentsch, JP Tate, JT King Jr, ... American Journal of Epidemiology 190 (11), 2405-2419, 2021 | 14 | 2021 |
Dimitri KusnezovDepartment of EnergyAdresse e-mail validée de hq.doe.gov