José Marcio Luna
PostDoc, CIS '16 - Research Associate, Perelman School of Medicine UPenn
Research Associate – Faculty
Department of Radiation Oncology
Center for Biomedical Image Computing and Analytic – CBICA
Education
PhD in Engineering
PhD Minor in Applied Mathematics
University of New Mexico
MS in Electrical Engineering
University of New Mexico
BS in Electronics Engineering
District University of Bogota
About Me
My current research focuses on the development and application of mathematical methods for modeling and predicting treatment response using clinical data of lung cancer patients undergoing chemoradiotherapy. I have strong background in machine learning, optimization theory, discrete event systems, control systems theory and digital image processing.
Research Groups
Publications
Reply to Nock and Nielsen: On the work of Nock and Nielsen and its relationship to the additive tree
Publisher National Academy of Sciences
Building more accurate decision trees with the additive tree
Publisher National Academy of Sciences
Tree-structured boosting- Connections between gradient stumps and full decision trees
Publisher arXiv
Design of a Low-Cost Platform for Autonomous Mobile Service Robots
Publisher International Joint Conference on Artificial Intelligence (IJCAI)
Lifelong Learning for Disturbance Rejection on Mobile Robots
Publisher IEEE International Conference on Intelligent Robots and Systems (IROS)
Publisher Scientfic Reports
Work in Progress: Lifelong Learning for Disturbance Rejection on Mobile Robots
Publisher International Conference on Autonomous Agents and Multiagent Systems (AAMAS)
Autonomous Cross-Domain Knowledge Transfer in Lifelong Policy Gradient Reinforcement Learning
Publisher International Joint Conference on Artificial Intelligence (IJCAI)