OR Seminar – Adaptive design of personalized dose-finding clinical trials
Bahen Centre 40 St George St, Toronto, Ontario, CanadaAmin Khademi, Clemson University Abstract Identifying the right dose is one the most important decisions in drug development. Significant evidence has recently become available that emphasizes the role of patient covariates in optimal dose, i.e., a dose that is optimal for a patient group may be harmful for others. A key step towards personalized (precision) […]
INFORMS 2019 (Seattle)
The 2019 INFORMS Annual Meeting is a unique opportunity to connect and network with the more than 6,000 INFORMS members, students, prospective employers and employees, and academic and industry experts who compose the INFORMS community. We look forward to seeing you in Seattle, WA, October 20-23, 2019!
5th Annual Rotman Conference on Machine Learning and the Market for Intelligence
Desautels Hall 105 St George Street, Toronto, CanadaAt our fifth annual conference, just as in prior years, we'll explore state-of-the-art applications of machine intelligence in a variety of domains, such as business, science, and healthcare. The twist? This year, we'll reflect on these technological advances in the context of their impact on power. While many applications of machine intelligence enhance productivity by […]
Winter School on Computational Data Science and Optimization
The Fields Institute 222 College Street, Toronto, Ontario, CanadaConference on Data Science
The Fields Institute 222 College Street, Toronto, Ontario, CanadaPsychEng Seminar: Grouping visual elements in a meaningful way for human and computer vision
Bahen Centre 40 St George St, Toronto, Ontario, CanadaDirk Bernhardt-Walther Announcement to be made on event webpage. (Room 2135)
Conference on Data Science and Optimization
The Fields Institute 222 College Street, Toronto, Ontario, CanadaMachine Learning in Medicine Symposium
Peter Gilgan Centre for Research and Learning 686 Bay St, Toronto, Ontario, CanadaLearning Objectives Identify the potential role of machine learning in medicine Recognize the difference between machine learning, neural networks, and deep learning Critically evaluate proposed new machine learning tools as it applies to imaging, pathology, pediatrics, brain science and mental health Target Audience Internal Medicine Specialists Laboratory Medicine and Pathology Specialists Medical Imaging Specialists Psychiatry […]
Conference on Optimization
The Fields Institute 222 College Street, Toronto, Ontario, CanadaFuture Digileaders Workshop (Stockholm)
Future Digileaders is an event for selected early career female researchers interested in the broad area of digitalization technology. The event is a part of the Digitalization days -- a three-day workshop discussing the next wave of digitalization for our sustainable future held on November 25-27, 2019 in Stockholm, Sweden. Day 1 offers the Digileaders […]
OR Seminar: Placement Optimization in Refugee Resettlement
Mechanical Engineering 5 King's College Rd, Toronto, Ontario, CanadaAndrew C. Trapp (Worcester Polytechnic Institute) Abstract: Tens of thousands of refugees are resettled yearly from refugee camps to host countries. Local areas that host refugees are reluctant to open capacity, and most impose tight restrictions on the refugee family types they accept. We model this matching challenge as a 0-1 knapsack variant and explore […]
DiDi Lecture: AI for the Marketplace with Applications to Ride-Sharing
Bahen Centre 40 St George St, Toronto, Ontario, CanadaAbstract In this talk, we will introduce a general analytical framework for large scale data obtained from two-sided markets, especially ride-sharing platforms like DiDi. This framework integrates classical methods including Experiment Design, Causal Inference and Reinforcement Learning, with modern machine learning methods, such as Graph Convolutional Models, Deep Learning, Transfer Learning and Generative Adversarial Network. […]