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Personal experience of machine learning practice
Using two-round cross validation for model selection and performance evaluation.
Paper reading notes
Paper reading notes on machine learning
Convolution is one of the most mysterious words for a novice deep learner. It is just a fancy operation of the weighted sum.
We have accumulated abundant intuition in human learning. Maybe such intuition is transferable to guide machine learning practice at the macro level.
Paper reading notes on CNNs
Reading notes of Deep Learning book by Ian Goodfellow, Yoshua Bengio and Aaron Courville
I completed the Udacity computer vision nanodegree of the April 2018 cohort. This is a 3-month online course focuses mainly on the deep learning techniques for computer vision, with a little touch on traditional computer vision, object tracking, and robot localization. For someone who is a novice in deep learning and computer vision such as me, this is an excellent introductory course that will bring the learner’s technique skill and understanding to the next level.
Reading notes on deep learning and artificial intelligence papers
Read papers on Medical Imaging Analysis with CNN.
General deep learning
Refine my research question.
The general landscape of my research interests is the application of technologies in health/medical area.
The following is the research questions I wrote in 2016. They serve as a starting point, so that I can come back to them from time to time.
A usability study to identify physicians’ needs and requirements of explainable artificial intelligence
Published in 2015 IEEE Games Entertainment Media Conference (GEM), 2015
This paper is about the design of a 2D video game to fight against the stigma of depression.
Recommended citation: Jin, W., Gromala, D. & Tong, X. Serious game for serious disease: Diminishing stigma of depression via game experience. in 2015 IEEE Games Entertainment Media Conference (GEM) 1–2 (2015). doi:10.1109/GEM.2015.7377256
Published in CHI EA ’16 Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, 2015
This paper is about the design of a body-sensing game that fosters empathy for Chronic Pain sufferers.
Recommended citation: Jin, W., Ulas, S. & Tong, X. AS IF: A Game As an Empathy Tool for Experiencing the Activity Limitations of Chronic Pain Patients. in CHI EA ’16 Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems 172–175 (ACM, 2016). doi:10.1145/2851581.2890369
Published in 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW), 2017
This paper is about the design of an asynchronous collaborative visualization to mimic the actual collaboration scenarios in clinical settings.
Recommended citation: Jin, W., Neustaedter, C., Gromala, D. & Tong, X. A Collaborative Visualization Tool to Support Doctors’ Shared Decision-Making on Antibiotic Prescription. in CSCW ’17 Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing 211–214 (ACM, 2017). doi:10.1145/3022198.3026311
Published in IEEE Games, Entertainment, Media Conference (GEM), 2018
This paper is about predicting cybersickness with a machine-learning approach.
Recommended citation: Jin, W., Fan, J., Gromala, D. & Pasquier, P. Automatic Prediction of Cybersickness for Virtual Reality Games. in 2018 IEEE Games, Entertainment, Media Conference (GEM) 1–9 (IEEE, 2018). doi:10.1109/GEM.2018.8516469
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.