Just before moving to industry, my research focused on basketball analytics and computer vision.
I'm also learning to apply machine learning techniques outside my research field.
In the past, I worked on latent variable models, physical therapy, and flocking behavior.
Lao B, Tamei T, Ikeda K. Data-Efficient Framework for Personalized Physiotherapy Feedback. Frontiers in Computer Science (2020): 3.
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Lao B, Tamei T, Ikeda K. Characterizing Strategic Contributions of Physical Therapy to Natural Standing Motion in the Muscle Synergy Space. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2019 (pp. 2311-2315). IEEE.
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Lao B, Tamei T, Ikeda K. Analysis of effective sit-to-stand therapy using kinematic synergies. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2016 Aug 16 (pp. 6282-6285). IEEE.
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Go CK, Ringhofer M, Lao B, Kubo T, Yamamoto S, Ikeda K. A mathematical model of herding in horse-harem group. Journal of Ethology (2020): 1-11.
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Go CK, Lao B, Yoshimoto J, Ikeda K. A reinforcement learning approach to the shepherding task using SARSA. In 2016 International Joint Conference on Neural Networks (IJCNN) 2016 Jul 24 (pp. 3833-3836). IEEE.
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This online course teaches the fundamentals of deep learning.
Coursework includes dicussions, quizzes, and exercises.
A certificate is issued upon satisfactory completion of the course.
This book is an intermediate-level guide on Computer Vision.
A major departure from the book is the implementation through Google Colab and the TF wrapper of Keras.
This repo contains notes and codes that solve the exercises in the book.
This online course was designed for mid-career software developers.
The course offers coding exercises and familiarizes you with common machine learning problems.
This repo contains the codes used to solve the problems in the course.