69 citations · 89 across the 3 of their papers we have counts for
4 papers
Diabetes Mellitus Forecasting Using Population Health Data in Ontario, Canada
Mathieu Ravaut, Hamed Sadeghi, Kin Kwan Leung +2
Leveraging health administrative data (HAD) datasets for predicting the risk of chronic diseases including diabetes has gained a lot of attention in the machine learning community…
ReGAN: RE[LAX|BAR|INFORCE] based Sequence Generation using GANs
Aparna Balagopalan, Satya Gorti, Mathieu Ravaut +1
Generative Adversarial Networks (GANs) have seen steep ascension to the peak of ML research zeitgeist in recent years. Mostly catalyzed by its success in the domain of image genera…
Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text
Zhe Wang, Kingsley Kuan, Mathieu Ravaut +13
The YouTube-8M video classification challenge requires teams to classify 0.7 million videos into one or more of 4,716 classes. In this Kaggle competition, we placed in the top 3% o…
Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge
Kingsley Kuan, Mathieu Ravaut, Gaurav Manek +7
We present a deep learning framework for computer-aided lung cancer diagnosis. Our multi-stage framework detects nodules in 3D lung CAT scans, determines if each nodule is malignan…