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Andrea Campagner's Projects

2014-15 icon 2014-15

Elementi di Bioinformatica: 2014-15

invasivenessassessment icon invasivenessassessment

Supporting data for publication: Comput Biol Med. 2020 Jun;121:103796. doi: 10.1016/j.compbiomed.2020.103796. Epub 2020 May 16. Assessment and prediction of spine surgery invasiveness with machine learning techniques Andrea Campagner, Pedro Berjano, Claudio Lamartina, Francesco Langella, Giovanni Lombardi, Federico Cabitza PMID: 32568677 DOI: 10.1016/j.compbiomed.2020.103796

kasparovlaws icon kasparovlaws

Supporting data for the paper "Observing the Kasparov’s law in Human-AI collaboration protocols: the case of medical double reading"

ogsa-proms icon ogsa-proms

OGSA-PROMs-2023: this is the supporting code for generating and validation the collection of musculoskeletal disorders' public open datasets of patient-reported outcome measures (PROMs)

qualimlpy icon qualimlpy

This a repository collecting all metrics, algorithms and pieces of code related to data and model quality for Machine Learning, developed by me and others at the MUDI lab (https://www.mudilab.net/mudi/) of the DISCo dept. @ University of Milano-Bicocca

raytracer icon raytracer

Simple implementation of a Stochastic Ray Tracer

scikit-weak icon scikit-weak

A library featuring utilities and algorithms for weakly supervised ML

seq-align icon seq-align

Fast, portable C implementations of Needleman-Wunsch and Smith-Waterman sequence alignment

softpy icon softpy

GitHub for the softpy library: a Python library for soft computing, currently focused on Fuzzy Systems and Evolutionary Computing

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