Seminars to Focus on Machine Learning

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Professors Flavio S. Fogliatto and Michel J. Anzanello of the Universidade Federal do Rio Grande do Sul, Brasil.

The Department of Industrial Engineering invites members of the campus community to join them for a double-header seminar this Friday, Sept. 21.

The guest speakers are professor Flavio S. Fogliatto and professor Michel J. Anzanello from the Department of Industrial Engineering at Universidade Federal do Rio Grande do Sul, Brasil.

Fogliatto's presentation will focus on the role of data in reducing emergency room crowding.

Emergency department (ED) overcrowding is a serious issue for hospitals and has become an increasingly significant global problem. Early information on short-term bed demand for patients receiving care at the ED may reduce the overcrowding problem, and optimize the use of hospital resources. In this talk, Fogliatto will present how his team uses text mining methods to process data from early emergency department patient records and predict future hospitalization and discharges. This information can facilitate decision-making in ED operations such as capacity planning and resource allocation.

The second talk will focus on feature selection, an important piece of the machine learning puzzle.

Anzanello will introduce a new approach in feature selection to improve accuracy in classification. The new method is then applied to categorize wine samples from four South America countries according their place of origin. The proposed framework yielded near-perfect classification accuracy while using very few elements in the data.

The seminar will be held Friday, Sept. 21 in the Imhoff Study Center, Bell 4008 from 11:45 a.m.-12:45 p.m.

The seminar is sponsored by the student chapter of INFORMS, the Institute for Operations Research and the Management Sciences. INFORMS promotes best practices and advances in operations research, management science, and analytics to improve operational processes, decision-making, and outcomes through an array of highly-cited publications, conferences, competitions, networking communities, and professional development services.