AndreaCampagner
PhD Student in Computer Science @ University of Milano-Bicocca. My interests lie at the intersection between Uncertainty Representation and Machine Learning.
University of Milano-BicoccaMilan, Italy
Pinned Repositories
2014-15
Elementi di Bioinformatica: 2014-15
Aggregation-Models-in-Ensemble-Learning
AndreaCampagner.github.io
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
DecisionSupportSystems
This is the GitHub for the Theory module of the Decision Support Systems course
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
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
scikit-cautious
A python library for cautious learning inspired by scikit-weak
scikit-weak
A library featuring utilities and algorithms for weakly supervised ML
softpy
GitHub for the softpy library: a Python library for soft computing, currently focused on Fuzzy Systems and Evolutionary Computing
uncertainpy
AndreaCampagner's Repositories
AndreaCampagner/scikit-weak
A library featuring utilities and algorithms for weakly supervised ML
AndreaCampagner/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
AndreaCampagner/softpy
GitHub for the softpy library: a Python library for soft computing, currently focused on Fuzzy Systems and Evolutionary Computing
AndreaCampagner/Aggregation-Models-in-Ensemble-Learning
AndreaCampagner/scikit-cautious
A python library for cautious learning inspired by scikit-weak
AndreaCampagner/uncertainpy
AndreaCampagner/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)
AndreaCampagner/2014-15
Elementi di Bioinformatica: 2014-15
AndreaCampagner/AndreaCampagner.github.io
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
AndreaCampagner/DecisionSupportSystems
This is the GitHub for the Theory module of the Decision Support Systems course
AndreaCampagner/Development--evaluation--and-validation-of-machine-learning-models-for-COVID-19
Code Repository for the paper "Cabitza, F., Campagner, A., Ferrari, D., Di Resta, C., Ceriotti, D., Sabetta, E., Colombini, A., De Vecchi, E., Banfi, G., Locatelli, M. & Carobene, A. (2021). Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests"
AndreaCampagner/FloydWarshall
AndreaCampagner/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
AndreaCampagner/KasparovLaws
Supporting data for the paper "Observing the Kasparov’s law in Human-AI collaboration protocols: the case of medical double reading"
AndreaCampagner/RayTracer
Simple implementation of a Stochastic Ray Tracer
AndreaCampagner/seq-align
Fast, portable C implementations of Needleman-Wunsch and Smith-Waterman sequence alignment
AndreaCampagner/Submerged-Echoes
AndreaCampagner/surprisingly-popular-algorithm-ensemble
Implementation of surprisingly popular algorithm through machine learning ensemble methods