Giuseppe Jurman

According to our database1, Giuseppe Jurman authored at least 44 papers between 2003 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
Other 

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Bibliography

2020
Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone.
BMC Med. Inf. & Decision Making, 2020

2019
MASS-UMAP: Fast and Accurate Analog Ensemble Search in Weather Radar Archives.
Remote Sensing, 2019

MASS-UMAP: Fast and accurate analog ensemble search in weather radar archive.
CoRR, 2019

In-field grape berries counting for yield estimation using dilated CNNs.
CoRR, 2019

High Resolution Forecasting of Heat Waves impacts on Leaf Area Index by Multiscale Multitemporal Deep Learning.
CoRR, 2019

Seasonal Linear Predictivity in National Football Championships.
Big Data, 2019

Integrating deep and radiomics features in cancer bioimaging.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019

2018
Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders.
Signal Process., 2018

Phylogenetic convolutional neural networks in metagenomics.
BMC Bioinformatics, 2018

2017
A multiobjective deep learning approach for predictive classification in Neuroblastoma.
CoRR, 2017

Towards a scientific blockchain framework for reproducible data analysis.
CoRR, 2017

Towards meaningful physics from generative models.
CoRR, 2017

2016
Efficient randomization of biological networks while preserving functional characterization of individual nodes.
BMC Bioinformatics, 2016

Stereotypical Motor Movement Detection in Dynamic Feature Space.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015
Convolutional Neural Network for Stereotypical Motor Movement Detection in Autism.
CoRR, 2015

Community dynamics in connected time-dependent multilayer networks.
CoRR, 2015

Graph metrics as summary statistics for Approximate Bayesian Computation with application to network model parameter estimation.
J. Complex Networks, 2015

The HIM glocal metric and kernel for network comparison and classification.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014
A promoter-level mammalian expression atlas.
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Nature, 2014

Entropy Dynamics of Community Alignment in the Italian Parliament Time-Dependent Network.
CoRR, 2014

Fast randomization of large genomic datasets while preserving alteration counts.
Bioinformatics, 2014

2013
minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers.
Bioinformatics, 2013

2012
A combinatorial model of malware diffusion via Bluetooth connections
CoRR, 2012

mlpy: Machine Learning Python
CoRR, 2012

A glocal distance for network comparison
CoRR, 2012

2011
A Machine Learning Pipeline for Discriminant Pathways Identification.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011

2010
The Structure of Thin Lie Algebras with Characteristic Two.
IJAC, 2010

A machine learning pipeline for quantitative phenotype prediction from genotype data.
BMC Bioinformatics, 2010

An introduction to spectral distances in networks.
Proceedings of the Neural Nets WIRN10, 2010

2008
Integrating gene expression profiling and clinical data.
Int. J. Approx. Reason., 2008

Algebraic stability indicators for ranked lists in molecular profiling.
Bioinformatics, 2008

Machine learning methods for predictive proteomics.
Briefings in Bioinformatics, 2008

2007
Supervised classification of combined copy number and gene expression data.
J. Integrative Bioinformatics, 2007

Deriving the Kernel from Training Data.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

2006
Combining feature selection and DTW for time-varying functional genomics.
IEEE Trans. Signal Processing, 2006

Terminated Ramp-Support Vector Machines: A nonparametric data dependent kernel.
Neural Networks, 2006

Proteome Profiling without Selection Bias.
Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

Strategies for containing an influenza pandemic: the case of Italy.
Proceedings of the 1st International ICST Conference on Bio Inspired Models of Network, 2006

2005
Semisupervised Learning for Molecular Profiling.
IEEE/ACM Trans. Comput. Biology Bioinform., 2005

Semisupervised Profiling of Gene Expressions and Clinical Data.
Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005

Machine Learning on Historic Air Photographs for Mapping Risk of Unexploded Bombs.
Proceedings of the Image Analysis and Processing, 2005

2004
Exact Bagging with k-Nearest Neighbour Classifiers.
Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004

2003
An accelerated procedure for recursive feature ranking on microarray data.
Neural Networks, 2003

Entropy-based gene ranking without selection bias for the predictive classification of microarray data.
BMC Bioinformatics, 2003


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