Davide Chicco

According to our database1, Davide Chicco authored at least 18 papers between 2010 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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On csauthors.net:

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

2018
Novelty Indicator for Enhanced Prioritization of Predicted Gene Ontology Annotations.
IEEE/ACM Trans. Comput. Biology Bioinform., 2018

Supervised deep learning embeddings for the prediction of cervical cancer diagnosis.
PeerJ Comput. Sci., 2018

2017
Ten quick tips for machine learning in computational biology.
BioData Min., 2017

2016
Ontology-Based Prediction and Prioritization of Gene Functional Annotations.
IEEE/ACM Trans. Comput. Biology Bioinform., 2016

2015
Software Suite for Gene and Protein Annotation Prediction and Similarity Search.
IEEE/ACM Trans. Comput. Biology Bioinform., 2015

Computational algorithms to predict Gene Ontology annotations.
BMC Bioinform., 2015

Validation Pipeline for Computational Prediction of Genomics Annotations.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2015

2014
Latent Dirichlet Allocation based on Gibbs Sampling for gene function prediction.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2014

Extended Spearman and Kendall Coefficients for Gene Annotation List Correlation.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2014

Deep autoencoder neural networks for gene ontology annotation predictions.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013
Weighting Scheme Methods for Enhanced Genomic Annotation Prediction.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2013

Enhanced probabilistic latent semantic analysis with weighting schemes to predict genomic annotations.
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

A discrete optimization approach for SVD best truncation choice based on ROC curves.
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

2012
Probabilistic Latent Semantic Analysis for prediction of Gene Ontology annotations.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Semantically improved genome-wide prediction of Gene Ontology annotations.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Genomic Annotation Prediction Based on Integrated Information.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011

2010
An intraday trading model based on Artificial Immune Systems.
Proceedings of the Neural Nets WIRN10, 2010


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