62 citations · 75 across the 8 of their papers we have counts for
9 papers
Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN)
Ali Seyfi, Jean-Francois Rajotte, Raymond T. Ng
Generating multivariate time series is a promising approach for sharing sensitive data in many medical, financial, and IoT applications. A common type of multivariate time series o…
3-D PET Image Generation with tumour masks using TGAN
Robert V Bergen, Jean-Francois Rajotte, Fereshteh Yousefirizi +3
Training computer-vision related algorithms on medical images for disease diagnosis or image segmentation is difficult due to the lack of training data, labeled samples, and privac…
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary
Jean-Francois Rajotte, Sumit Mukherjee, Caleb Robinson +4
We introduce FELICIA (FEderated LearnIng with a CentralIzed Adversary) a generative mechanism enabling collaborative learning. In particular, we show how a data owner with limited…
Dense Forecasting of Wildfire Smoke Particulate Matter Using Sparsity Invariant Convolutional Neural Networks
Renhao Wang, Ashutosh Bhudia, Brandon Dos Remedios +2
Accurate forecasts of fine particulate matter (PM 2.5) from wildfire smoke are crucial to safeguarding cardiopulmonary public health. Existing forecasting systems are trained on sp…
Private data sharing between decentralized users through the privGAN architecture
Jean-Francois Rajotte, Raymond T Ng
More data is almost always beneficial for analysis and machine learning tasks. In many realistic situations however, an enterprise cannot share its data, either to keep a competiti…
Topic Segmentation and Labeling in Asynchronous Conversations
Shafiq Rayhan Joty, Giuseppe Carenini, Raymond T Ng
Topic segmentation and labeling is often considered a prerequisite for higher-level conversation analysis and has been shown to be useful in many Natural Language Processing (NLP)…