According to our database1, Giuseppe Jurman authored at least 44 papers between 2003 and 2020.
Legend:Book In proceedings Article PhD thesis Other
Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone.
BMC Med. Inf. & Decision Making, 2020
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.
In-field grape berries counting for yield estimation using dilated CNNs.
High Resolution Forecasting of Heat Waves impacts on Leaf Area Index by Multiscale Multitemporal Deep Learning.
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
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
A multiobjective deep learning approach for predictive classification in Neuroblastoma.
Towards a scientific blockchain framework for reproducible data analysis.
Towards meaningful physics from generative models.
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
Convolutional Neural Network for Stereotypical Motor Movement Detection in Autism.
Community dynamics in connected time-dependent multilayer networks.
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
A promoter-level mammalian expression atlas.
Entropy Dynamics of Community Alignment in the Italian Parliament Time-Dependent Network.
Fast randomization of large genomic datasets while preserving alteration counts.
minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers.
A combinatorial model of malware diffusion via Bluetooth connections
mlpy: Machine Learning Python
A glocal distance for network comparison
A Machine Learning Pipeline for Discriminant Pathways Identification.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011
The Structure of Thin Lie Algebras with Characteristic Two.
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
Integrating gene expression profiling and clinical data.
Int. J. Approx. Reason., 2008
Algebraic stability indicators for ranked lists in molecular profiling.
Machine learning methods for predictive proteomics.
Briefings in Bioinformatics, 2008
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
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
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
Exact Bagging with k-Nearest Neighbour Classifiers.
Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004
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