You can find our submitted paper on ArXiV or on M2CAI website (version may be older). Do not hesitate to contact us. If you have any questions about our code and/or paper, please create an issue. For ...

This research investigates deep learning-based approach for defect detection in the steel production using Severstal steel dataset. The developed system integrates DenseNet121 for classification and ...

Across the globe, dyslexia and dysgraphia are two frequent learning disorders identified in classrooms. This condition is characterized by difficulties in age-appropriate reading without any ...

Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data. Unlike a system that performs a task by following explicit ...

We are excited to announce the general availability of SQL Server 2017 and Machine Learning Services. You can start using Python-based in-database Machine Learning Services for production usage now.

The initial goal of our program is to predict tuna location based on fishing vessel data and its correlation with sea surface temperature (SST) and chlorophyll concentration. We also want to see the ...

Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g., multivariate analysis of ...