367 citations · 457 across the 7 of their papers we have counts for
5 papers · 1 filter
Reducing Air Pollution through Machine Learning
Dimitris Bertsimas, Leonard Boussioux, Cynthia Zeng
This paper presents a data-driven approach to mitigate the effects of air pollution from industrial plants on nearby cities by linking operational decisions with weather conditions…
Global Flood Prediction: a Multimodal Machine Learning Approach
Cynthia Zeng, Dimitris Bertsimas
Flooding is one of the most destructive and costly natural disasters, and climate changes would further increase risks globally. This work presents a novel multimodal machine learn…
TabText: Language-Based Representations of Tabular Health Data for Predictive Modelling
Kimberly Villalobos Carballo, Liangyuan Na, Yu Ma +4
Tabular medical records remain the most readily available data format for applying machine learning in healthcare. However, traditional data preprocessing ignores valuable contextu…
Integrated multimodal artificial intelligence framework for healthcare applications
Luis R. Soenksen, Yu Ma, Cynthia Zeng +7
Artificial intelligence (AI) systems hold great promise to improve healthcare over the next decades. Specifically, AI systems leveraging multiple data sources and input modalities…
Hurricane Forecasting: A Novel Multimodal Machine Learning Framework
Léonard Boussioux, Cynthia Zeng, Théo Guénais +1
This paper describes a novel machine learning (ML) framework for tropical cyclone intensity and track forecasting, combining multiple ML techniques and utilizing diverse data sourc…