| Deep learning models for bacteria taxonomic classification of metagenomic data A Fiannaca, L La Paglia, M La Rosa, L Bosco, G Renda, R Rizzo, ... BMC bioinformatics 19 (7), 61-76, 2018 | 65 | 2018 |
| Probabilistic topic modeling for the analysis and classification of genomic sequences M La Rosa, A Fiannaca, R Rizzo, A Urso BMC bioinformatics 16 (6), 1-9, 2015 | 54 | 2015 |
| A deep learning approach to dna sequence classification R Rizzo, A Fiannaca, M La Rosa, A Urso International Meeting on Computational Intelligence Methods for …, 2015 | 43 | 2015 |
| nRC: non-coding RNA Classifier based on structural features A Fiannaca, M La Rosa, L La Paglia, R Rizzo, A Urso BioData mining 10 (1), 1-18, 2017 | 41 | 2017 |
| Analysis of miRNA expression profiles in breast cancer using biclustering A Fiannaca, M La Rosa, L La Paglia, R Rizzo, A Urso BMC Bioinformatics 16 (Suppl 4), S7, 2015 | 36 | 2015 |
| BioGraph: a web application and a graph database for querying and analyzing bioinformatics resources A Messina, A Fiannaca, L La Paglia, M La Rosa, A Urso BMC systems biology 12 (5), 75-89, 2018 | 24 | 2018 |
| A k-mer-based barcode DNA classification methodology based on spectral representation and a neural gas network A Fiannaca, M La Rosa, R Rizzo, A Urso Artificial intelligence in medicine 64 (3), 173-184, 2015 | 22 | 2015 |
| Biographdb: a new graphdb collecting heterogeneous data for bioinformatics analysis A Fiannaca, M La Rosa, L La Paglia, A Messina, A Urso Proceedings of BIOTECHNO, 2016 | 21 | 2016 |
| Alignment-free analysis of barcode sequences by means of compression-based methods M La Rosa, A Fiannaca, R Rizzo, A Urso Bmc Bioinformatics 14 (7), 1-15, 2013 | 19 | 2013 |
| Classification experiments of DNA sequences by using a deep neural network and chaos game representation R Rizzo, A Fiannaca, M La Rosa, A Urso Proceedings of the 17th International Conference on Computer Systems and …, 2016 | 17 | 2016 |
| A knowledge-based decision support system in bioinformatics: an application to protein complex extraction A Fiannaca, M La Rosa, A Urso, R Rizzo, S Gaglio BMC bioinformatics 14 (1), 1-14, 2013 | 17 | 2013 |
| Simulated annealing technique for fast learning of SOM networks A Fiannaca, G Di Fatta, R Rizzo, A Urso, S Gaglio Neural Computing & Applications, 1-11, 2011 | 16 | 2011 |
| Data mining: Prediction methods A Urso, A Fiannaca, M La Rosa, V Ravì, R Rizzo Encycl. Bioinforma. Comput. Biol. ABC Bioinforma. 1, 413-430, 2018 | 14 | 2018 |
| A deep learning model for epigenomic studies GL Bosco, R Rizzo, A Fiannaca, M La Rosa, A Urso 2016 12th International Conference on Signal-Image Technology & Internet …, 2016 | 13 | 2016 |
| The general regression neural network to classify barcode and mini-barcode DNA R Rizzo, A Fiannaca, M La Rosa, A Urso International meeting on computational intelligence methods for …, 2014 | 13 | 2014 |
| Analysis of DNA barcode sequences using neural gas and spectral representation A Fiannaca, M La Rosa, R Rizzo, A Urso International Conference on Engineering Applications of Neural Networks, 212-221, 2013 | 13 | 2013 |
| Improved SOM learning using simulated annealing A Fiannaca, G Di Fatta, S Gaglio, R Rizzo, AM Urso International Conference on Artificial Neural Networks, 279-288, 2007 | 13 | 2007 |
| An expert system hybrid architecture to support experiment management A Fiannaca, M La Rosa, R Rizzo, A Urso, S Gaglio Expert systems with applications 41 (4), 1609-1621, 2014 | 12 | 2014 |
| MiRNATIP: a SOM-based miRNA-target interactions predictor A Fiannaca, M La Rosa, L La Paglia, R Rizzo, A Urso BMC bioinformatics 17 (11), 43-52, 2016 | 10 | 2016 |
| Genomic sequence classification using probabilistic topic modeling M La Rosa, A Fiannaca, R Rizzo, A Urso International Meeting on Computational Intelligence Methods for …, 2013 | 10 | 2013 |
