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Found 4 papers, 0 papers with code
A fast semi-automatic method for classification and counting the number and types of blood cells in an image
A novel and fast semi-automatic method for segmentation, locating and counting blood cells in an image is proposed.
Diabetes Mellitus Forecasting Using Population Health Data in Ontario, Canada
We perform one of the first large-scale machine learning studies with this data to study the task of predicting diabetes in a range of 1-10 years ahead, which requires no additional screening of individuals. In the best setup, we reach a test AUC of 80. 3 with a single-model trained on an observation window of 5 years with a one-year buffer using all datasets.
SALSA-TEXT : self attentive latent space based adversarial text generation
Inspired by the success of self attention mechanism and Transformer architecture in sequence transduction and image generation applications, we propose novel self attention-based architectures to improve the performance of adversarial latent code- based schemes in text generation.
OCRAPOSE II: An OCR-based indoor positioning system using mobile phone images
Then, it finds depth and angle-of-view of the query using the information provided by the OCR engine in order to refine the location estimate.
