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A novel architecture for metagenomic classification defined as phylogenetic convolutional neural network (Ph-CNN). The study is performed on bacterial intestinal microbiota of patients with inflammatory bowel disease (IBD), stratified into six subphe

library with common functions to work with histology images and WSI

CDRP (Concatenated Diagnostic-Relapse Prognostic): multi-task deep learning architecture for prognostic profiling in high-risk neuroblastoma with distillation of the clinical diagnostic algorithm.

Repository attached to the paper "Evaluating reproducibility of AI algorithms in digital pathology with DAPPER"

This repository contains the dataset and the source code for the classification of food categories from meal images.

mlpy is a Python module for Machine Learning built on top of NumPy/SciPy and the GNU Scientific Libraries.

Contiki-ng used in the vela-lab project.

Deep Learning for Meteo Trentino Forecasting Model