Research Talk Schedule

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The CWDS seminar series is centered around intellectual exchange and interaction, and the audience is encouraged to ask questions during presentations. The goal is a seminar that looks less like a lecture and more like a spirited discussion of issues raised in a relatively brief presentation of a paper or a research project.

Starting Fall of 2015, all seminars will be held at 4:15 on Wednesdays in the atrium on the third floor of the Tioga Library Building. We will aim to conclude by 5:15.

Presenters interested in speaking at an upcoming seminar can contact us at Interested in Speaking.

If you are interested in learning more about our seminar series please contact Derek Young.

Title Date of Presentation Research Focus
Sarah Vluymans: Fuzzy and Fuzzy Rough Multi-instance Classifiers 08/12/2015

* Abstract: Multi-instance learning is a setting in supervised learning where the data consists of bags of instances. Samples in the dataset are groups of individual instances. A decision value is assigned to the entire bag, not its constituent elements. The classification of an unseen bag involves the prediction of the decision value based on the instances it contains.  A variety of application domains include bioinformatics, text categorization and image recognition.

Science and Solutions for Low Resource Setting 07/22/2015

Abstract: Cardiovascular disease or abnormal function of heart and blood vessels is a leading cause of mortality worldwide. In US, heart disease accounts for 1 in every 4 deaths and is also the major cause of illness and disability, thus having large impact on health care system. In India, CVD is a rapidly growing epidemic that affects earlier in life (35–65 years), thus having significant social and financial impact. In absence of early corrective measures, CVD-related mortality is projected to account for 40% of all deaths in India within the next decade.

Challenges in Environmental Data 07/01/2015

Join us for a panel discussion as we discuss some of the challenges in aquiring, curating, and leveraging environmental data sets.
Jon Schweiss - EPA Region 10
Rob Fatland - Microsoft Research
Mohamed Ali - UW Tacoma