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DTSTART;TZID=America/Los_Angeles:20251006T161500
DTEND;TZID=America/Los_Angeles:20251006T171500
DTSTAMP:20260504T024908
CREATED:20251006T190122Z
LAST-MODIFIED:20251006T190122Z
UID:3881-1759767300-1759770900@colleges.claremont.edu
SUMMARY:Modeling drug release for in vitro experiments (Minaya Villasana De Armas\, Universidad Simon Bolivar)
DESCRIPTION:Abstract: It is common to use adjuvants in immunotherapeutic regimens to strengthen the immune response. However\, multiple dosages are required making it inconvenient for the patient. Hydrogels have been proposed as a vehicle to administer adjuvant and antigen in a sustained slow release thus reducing the need for re-administration. \nIn this instance\, we use experimental data for stability studies on two different thermosensitive pentablock hydrogels as well as release of three adjuvants suspended in the hydrogels or in PLGA nanoparticles. The goal is to model this release and provide a framework by which these models can describe the various release profiles efficiently. \n 
URL:https://colleges.claremont.edu/ccms/event/modeling-drug-release-for-in-vitro-experiments-minaya-villasana-de-armas-universidad-simon-bolivar/
LOCATION:Emmy Noether Room\, Estella 1021\, Pomona College\,\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Ryan Aschoff":MAILTO:ryan.aschoff@cgu.edu
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251020T161500
DTEND;TZID=America/Los_Angeles:20251020T171500
DTSTAMP:20260504T024908
CREATED:20250829T230854Z
LAST-MODIFIED:20250902T231226Z
UID:3805-1760976900-1760980500@colleges.claremont.edu
SUMMARY:Some New Advances in Similarity-Based Predictive Modeling (Joel A. Dubin\, University of Waterloo)
DESCRIPTION:Abstract: Earlier work has shown that similarity-based predictive models can improve upon predictive performance\, as compared to using the entire training data to help build models\, particular regarding model discrimination for binary responses. My collaborators and I have some updated results to share\, regarding similarity-based modeling for joint consideration of model calibration and discrimination\, as well as for dynamic prediction models. Properties of our methods will be investigated in comprehensive simulation studies\, and we will demonstrate the methods through separate analyses of a publicly-available intensive care unit (ICU) database.
URL:https://colleges.claremont.edu/ccms/event/some-new-advances-in-similarity-based-predictive-modeling-joel-a-dubin-university-of-waterloo/
LOCATION:Emmy Noether Room\, Estella 1021\, Pomona College\,\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251027T161500
DTEND;TZID=America/Los_Angeles:20251027T171500
DTSTAMP:20260504T024908
CREATED:20251006T191634Z
LAST-MODIFIED:20251006T191634Z
UID:3885-1761581700-1761585300@colleges.claremont.edu
SUMMARY:Estimating Shapley Values for Explainable AI via Richer Model Approximations (Teal Witter\, CMC)
DESCRIPTION:Abstract: Modern machine learning is ultimately a simple process: We iteratively update the weights of machine learning models to minimize a problem-specific loss. When it works well\, we deploy the model in human-facing domains like healthcare\, finance\, or the justice system. But even though we know how models are trained\, we don’t understand why they make decisions the decision they do. A particularly compelling approach to explaining AI predictions is the Shapley value\, a game-theoretic quantity that measures how each input to the model affects its output. Mathematically\, the ith Shapley value is the average change in the ith dimension of a particular function defined on the d-dimensional hypercube. Because the hypercube has 2^d points\, exactly computing Shapley values is infeasible. In this talk\, we will instead leverage algorithmic insights to develop state-of-the-art approximation methods.
URL:https://colleges.claremont.edu/ccms/event/estimating-shapley-values-for-explainable-ai-via-richer-model-approximations-teal-witter-cmc/
LOCATION:Emmy Noether Room\, Estella 1021\, Pomona College\,\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Applied Math Seminar
ORGANIZER;CN="Ryan Aschoff":MAILTO:ryan.aschoff@cgu.edu
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