Daby Sow
About
Daby Sow has authored 31 papers that have received a total of 374 indexed citations.
This includes 15 papers in Artificial Intelligence, 8 papers in Surgery and 8 papers in Signal Processing. The topics of these papers are Machine Learning in Healthcare (9 papers), Time Series Analysis and Forecasting (7 papers) and Healthcare Technology and Patient Monitoring (7 papers). Daby Sow is often cited by papers focused on Machine Learning in Healthcare (9 papers), Time Series Analysis and Forecasting (7 papers) and Healthcare Technology and Patient Monitoring (7 papers) and collaborates with scholars based in United States, Canada and Senegal. Daby Sow's co-authors include Jimeng Sun, Deepak S. Turaga, Alain Biem, Jianying Hu and Marion Blount and has published in prestigious journals such as IEEE Transactions on Information Theory, Archives of Disease in Childhood and IBM Journal of Research and Development
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