CENPARMI offers members access to labs, databases, user guides and other tools that facilitate collaboration and consultation.
CENPARMI members continually make training databases available to researchers and students:
This list is always growing. Please contact Nicola Nobile at firstname.lastname@example.org for any questions about CENPARMI databases and resources.
The CENPARMI human reticulocyte dataset is an image dataset for classification problems. This dataset consists of 2461 instances that belong to 3 classes:
In order to obtain the dataset, the following consent form must be completed: https://forms.gle/fFYFvgebaQotooDQ6
More information can be found on the dataset wiki: https://github.com/Rabiah86/Animal2Human/wiki
HeroSvm is a high-performance library that improves training SVM (Support Vector Machine) classification on large training sets. HeroSvm was developed by former PhD student Jianxiong Dong.
The local section has additional information about labs, databases and general guidelines for use. The local section is restricted to CENPARMI members only.
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