A Collaborative Research Exploration of Pollutant Mixtures and Adverse Birth Outcomes by Using Innovative Spatial Data Mining Methods: The DoMiNO Project

by Osnat Wine, Osmar R. Zaiane, Alvaro R. Osornio Vargas
Published 2019-03-01

A machine learning approach to predict ethnicity using personal name and census location in Canada.

by Kai On Wong, Osmar R Zaïane, Faith G Davis, Yutaka Yasui
Published 2020-01-01

Generating attributed networks with communities.

by Christine Largeron, Pierre-Nicolas Mougel, Reihaneh Rabbany, Osmar R Zaïane
Published 2015-01-01

A machine learning approach to predict ethnicity using personal name and census location in Canada

by Kai On Wong, Osmar R. Zaïane, Faith G. Davis, Yutaka Yasui, Sreeram V. Ramagopalan
Published 2020-01-01

The index lift in data mining has a close relationship with the association measure relative risk in epidemiological studies

by Khanh Vu, Rebecca A. Clark, Colin Bellinger, Graham Erickson, Alvaro Osornio-Vargas, Osmar R. Zaïane, Yan Yuan
Published 2019-06-01

Interdisciplinary-driven hypotheses on spatial associations of mixtures of industrial air pollutants with adverse birth outcomes

by Jesus Serrano-Lomelin, Charlene C. Nielsen, M. Shazan M. Jabbar, Osnat Wine, Colin Bellinger, Paul J. Villeneuve, Dave Stieb, Nancy Aelicks, Khalid Aziz, Irena Buka, Sue Chandra, Susan Crawford, Paul Demers, Anders C. Erickson, Perry Hystad, Manoj Kumar, Erica Phipps, Prakesh S. Shah, Yan Yuan, Osmar R. Zaiane, Alvaro R. Osornio-Vargas
Published 2019-10-01

Contrasting sequence groups by emerging sequences

by Deng, Kang
Published 2009