A Fuzzy Approach for the Network Congestion Problem. - Giuseppe Di Fatta; Giuseppe Lo Re; Alfonso Urso (International Conference on Computational Science (1), 2002)

Parallel Genetic Algorithms for the Tuning of a Fuzzy AQM Controller. - Giuseppe Di Fatta; Giuseppe Lo Re; Alfonso Urso (ICCSA (1), 2003)

A genetic algorithm for the design of a fuzzy controller for active queue management. - Giuseppe Di Fatta; Frank Hoffmann; Giuseppe Lo Re; Alfonso Urso (IEEE Trans. Syst. Man Cybern. Part C, 2003)

A Grid Enabled Parallel Hybrid Genetic Algorithm for SPN. - Giuseppe Lo Presti; Giuseppe Lo Re; Pietro Storniolo; Alfonso Urso (International Conference on Computational Science, 2004)

Exploiting deductive processes for automated network management. - Salvatore Gaglio; Luca Gatani; Giuseppe Lo Re; Alfonso Urso (ICON, 2004)

A Dynamic Reasoning Architecture for Computer Network Management. - Salvatore Gaglio; Luca Gatani; Giuseppe Lo Presti; Giuseppe Lo Re; Alfonso Urso (ICTAI, 2004)

The Random Neural Network Model for the On-Line Multicast Problem. - Giovanni Aiello; Salvatore Gaglio; Giuseppe Lo Re; Pietro Storniolo; Alfonso Urso (WIRN, 2004)

Rule Based Reasoning for Network Management. - Alessandra De Paola; S. Fiduccia; Salvatore Gaglio; Luca Gatani; Giuseppe Lo Re; A. Pizzitola; Marco Ortolani; Pietro Storniolo; Alfonso Urso (CAMP, 2005)

An efficient retransmission strategy for data gathering in wireless sensor networks. - Marco Ortolani; Luca Gatani; Giuseppe Lo Re; Alfonso Urso; Salvatore Gaglio (ETFA, 2005)

Context-Aware Visual Exploration of Molecular Datab. - Giuseppe Di Fatta; Antonino Fiannaca; Riccardo Rizzo; Alfonso Urso; Michael R. Berthold; Salvatore Gaglio (ICDM Workshops, 2006)

RTDWD: Real-Time Distributed Wideband-Delphi for User Stories Estimation. - Giovanni Aiello; Marco Alessi; Massimo Cossentino; Alfonso Urso; Giuseppe Vella (RISE, 2006)

A Logical Architecture for Active Network Management. - Salvatore Gaglio; Luca Gatani; Giuseppe Lo Re; Alfonso Urso (J. Netw. Syst. Manag., 2006)

Improved SOM Learning Using Simulated Annealing. - Antonino Fiannaca; Giuseppe Di Fatta; Salvatore Gaglio; Riccardo Rizzo; Alfonso Urso (ICANN (1), 2007)

Soft Topographic Map for Clustering and Classification of Bacteria. - Massimo La Rosa; Giuseppe Di Fatta; Salvatore Gaglio; Giovanni M. Giammanco; Riccardo Rizzo; Alfonso Urso (IDA, 2007)

Fast Training of Self Organizing Maps for the Visual Exploration of Molecular Compounds. - Antonino Fiannaca; Giuseppe Di Fatta; Riccardo Rizzo; Alfonso Urso; Salvatore Gaglio (IJCNN, 2007)

DNK-WSD: A Distributed Approach for Knowledge Discovery in Peer to Peer Networks. - Giovanni Aiello; Marco Alessi; Massimo Cossentino; Pietro Storniolo; Alfonso Urso (PDP, 2007)

A New Linear Initialization in SOM for Biomolecular Data. - Antonino Fiannaca; Giuseppe Di Fatta; Alfonso Urso; Riccardo Rizzo; Salvatore Gaglio (CIBB, 2008)

Clustering Bacteria Species Using Neural Gas: Preliminary Study. - Claudio Mirabello; Riccardo Rizzo; Alfonso Urso; Salvatore Gaglio (CIBB, 2008)

Clustering Quality and Topology Preservation in Fast Learning SOMs. - Antonino Fiannaca; Giuseppe Di Fatta; Salvatore Gaglio; Riccardo Rizzo; Alfonso Urso (ICANN (1), 2008)

A New SOM Initialization Algorithm for Nonvectorial Data. - Antonino Fiannaca; Riccardo Rizzo; Alfonso Urso; Salvatore Gaglio (KES (1), 2008)

Comparison of Genomic Sequences Clustering Using Normalized Compression Distance and Evolutionary Distance. - Massimo La Rosa; Riccardo Rizzo; Alfonso Urso; Salvatore Gaglio (KES (3), 2008)

A Proposed Knowledge Based Approach for Solving Proteomics Issues. - Antonino Fiannaca; Salvatore Gaglio; Massimo La Rosa; Daniele Peri; Riccardo Rizzo; Alfonso Urso (CIBB, 2009)

Identifying Clusters Using Growing Neural Gas: First Results. - Riccardo Rizzo; Alfonso Urso (ICANN (1), 2009)

Normalised compression distance and evolutionary distance of genomic sequences: comparison of clustering results. - Massimo La Rosa; Salvatore Gaglio; Riccardo Rizzo; Alfonso Urso (Int. J. Knowl. Eng. Soft Data Paradigms, 2009)

A Knowledge Based Decision Support System for Bioinformatics and System Biology. - Antonino Fiannaca; Salvatore Gaglio; Massimo La Rosa; Daniele Peri; Riccardo Rizzo; Alfonso Urso (CIBB, 2010)

High Performance Networks. - José Flich; Alfonso Urso; Ulrich Brüning 001; Giuseppe Di Fatta (Euro-Par (2), 2010)

Soft Topographic Maps for Clustering and Classifying Bacteria Using Housekeeping Genes. - Massimo La Rosa; Riccardo Rizzo; Alfonso Urso (Adv. Artif. Neural Syst., 2011)

A Study of Compression-Based Methods for the Analysis of Barcode Sequences. - Massimo La Rosa; Antonino Fiannaca; Riccardo Rizzo; Alfonso Urso (CIBB, 2012)

An Intelligent System for Building Bioinformatics Workflows. - Antonino Fiannaca; Salvatore Gaglio; Massimo La Rosa; Riccardo Rizzo; Alfonso Urso (CISIS, 2012)

Genomic Sequence Classification Using Probabilistic Topic Modeling. - Massimo La Rosa; Antonino Fiannaca; Riccardo Rizzo; Alfonso Urso (CIBB, 2013)

Analysis of DNA Barcode Sequences Using Neural Gas and Spectral Representation. - Antonino Fiannaca; Massimo La Rosa; Riccardo Rizzo; Alfonso Urso (EANN (2), 2013)

A knowledge-based decision support system in bioinformatics: an application to protein complex extraction. - Antonino Fiannaca; Massimo La Rosa; Alfonso Urso; Riccardo Rizzo; Salvatore Gaglio (BMC Bioinform., 2013)

Alignment-free analysis of barcode sequences by means of compression-based methods. - Massimo La Rosa; Antonino Fiannaca; Riccardo Rizzo; Alfonso Urso (BMC Bioinform., 2013)

Simulated annealing technique for fast learning of SOM networks. - Antonino Fiannaca; Giuseppe Di Fatta; Riccardo Rizzo; Alfonso Urso; Salvatore Gaglio (Neural Comput. Appl., 2013)

The General Regression Neural Network to Classify Barcode and mini-barcode DNA. - Riccardo Rizzo; Antonino Fiannaca; Massimo La Rosa; Alfonso Urso (CIBB, 2014)

Knowledge organization for modelling workflows in Taverna environment. - Antonino Fiannaca; Massimo La Rosa; Salvatore Gaglio; Riccardo Rizzo; Alfonso Urso (MED, 2014)

An expert system hybrid architecture to support experiment management. - Antonino Fiannaca; Massimo La Rosa; Riccardo Rizzo; Alfonso Urso; Salvatore Gaglio (Expert Syst. Appl., 2014)

The BioDICE Taverna plugin for clustering and visualization of biological data: a workflow for molecular compounds exploration. - Antonino Fiannaca; Massimo La Rosa; Giuseppe Di Fatta; Salvatore Gaglio; Riccardo Rizzo; Alfonso Urso (J. Cheminformatics, 2014)

A Deep Learning Approach to DNA Sequence Classification. - Riccardo Rizzo; Antonino Fiannaca; Massimo La Rosa; Alfonso Urso (CIBB, 2015)

A k-mer-based barcode DNA classification methodology based on spectral representation and a neural gas network. - Antonino Fiannaca; Massimo La Rosa; Riccardo Rizzo; Alfonso Urso (Artif. Intell. Medicine, 2015)

Analysis of miRNA expression profiles in breast cancer using biclustering. - Antonino Fiannaca; Massimo La Rosa; Laura La Paglia; Riccardo Rizzo; Alfonso Urso (BMC Bioinform., 2015)

Probabilistic topic modeling for the analysis and classification of genomic sequences. - Massimo La Rosa; Antonino Fiannaca; Riccardo Rizzo; Alfonso Urso (BMC Bioinform., 2015)

Keep It Simple, Fast and Scalable: A Multi-model NoSQL DBMS as an (eb) XML-over-SOAP Service. - Antonio Messina; Pietro Storniolo; Alfonso Urso (AINA Workshops, 2016)

A Problem-Driven Approach for Building a Bioinformatics GraphDB. - Antonino Fiannaca; Massimo La Rosa; Laura La Paglia; Antonio Messina; Riccardo Rizzo; Alfonso Urso (CIBB, 2016)

EXPO: A Modern NoSQL-based ebXML Registry for Health Information Systems. - Antonio Messina; Pietro Storniolo; Alfonso Urso (CompSysTech, 2016)

Classification Experiments of DNA Sequences by Using a Deep Neural Network and Chaos Game Representation. - Riccardo Rizzo; Antonino Fiannaca; Massimo La Rosa; Alfonso Urso (CompSysTech, 2016)

Integrated DB for Bioinformatics: A Case Study on Analysis of Functional Effect of MiRNA SNPs in Cancer. - Antonino Fiannaca; Laura La Paglia; Massimo La Rosa; Antonio Messina; Pietro Storniolo; Alfonso Urso (ITBAM, 2016)

The Database-is-the-Service Pattern for Microservice Architectures. - Antonio Messina; Riccardo Rizzo; Pietro Storniolo; Mario Tripiciano; Alfonso Urso (ITBAM, 2016)

A Deep Learning Model for Epigenomic Studies. - Giosuè Lo Bosco; Riccardo Rizzo; Antonino Fiannaca; Massimo La Rosa; Alfonso Urso (SITIS, 2016)

MiRNATIP: a SOM-based miRNA-target interactions predictor. - Antonino Fiannaca; Massimo La Rosa; Laura La Paglia; Riccardo Rizzo; Alfonso Urso (BMC Bioinform., 2016)

BioGrakn: A Knowledge Graph-Based Semantic Database for Biomedical Sciences. - Antonio Messina; Haikal Pribadi; Jo Stichbury; Michelangelo Bucci; Szymon Klarman; Alfonso Urso (CISIS, 2017)

Gremlin Language for Querying the BiographDB Integrated Biological Database. - Antonino Fiannaca; Laura La Paglia; Massimo La Rosa; Antonio Messina; Riccardo Rizzo; Dario Stabile; Alfonso Urso (IWBBIO (1), 2017)

nRC: non-coding RNA Classifier based on structural features. - Antonino Fiannaca; Massimo La Rosa; Laura La Paglia; Riccardo Rizzo; Alfonso Urso (BioData Min., 2017)

Energy-Efficient Low-Power Circuits for Wireless Energy and Data Transfer in IoT Sensor Nodes. - Gustavo C. Martins; Alfonso Urso; André Mansano; Yao Liu 003; Wouter A. Serdijn (CoRR, 2017)

Variable Ranking Feature Selection for the Identification of Nucleosome Related Sequences. - Giosuè Lo Bosco; Riccardo Rizzo; Antonino Fiannaca; Massimo La Rosa; Alfonso Urso (ADBIS (Short Papers and Workshops), 2018)

Identification of Key miRNAs in Regulation of PPI Networks. - Antonino Fiannaca; Laura La Paglia; Massimo La Rosa; Giosuè Lo Bosco; Riccardo Rizzo; Alfonso Urso (CIBB, 2018)

Deep learning models for bacteria taxonomic classification of metagenomic data. - Antonino Fiannaca; Laura La Paglia; Massimo La Rosa; Giosuè Lo Bosco; Giovanni Renda; Riccardo Rizzo; Salvatore Gaglio; Alfonso Urso (BMC Bioinform., 2018)

BioGraph: a web application and a graph database for querying and analyzing bioinformatics resources. - Antonio Messina; Antonino Fiannaca; Laura La Paglia; Massimo La Rosa; Alfonso Urso (BMC Syst. Biol., 2018)

MiRNA therapeutics based on logic circuits of biological pathways. - Valeria Boscaino; Antonino Fiannaca; Laura La Paglia; Massimo La Rosa; Riccardo Rizzo; Alfonso Urso (BMC Bioinform., 2019)

The 2017 Network Tools and Applications in Biology (NETTAB) workshop: aims, topics and outcomes. - Paolo Romano 001; Arnaud Céol; Andreas Dräger; Antonino Fiannaca; Rosalba Giugno; Massimo La Rosa; Luciano Milanesi; Ulrich Pfeffer; Riccardo Rizzo; Soo-Yong Shin; Junfeng Xia; Alfonso Urso (BMC Bioinform., 2019)

Data Mining: Classification and Prediction. - Alfonso Urso; Antonino Fiannaca; Massimo La Rosa; Valentina Ravì; Riccardo Rizzo (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

Data Mining: Prediction Methods. - Alfonso Urso; Antonino Fiannaca; Massimo La Rosa; Valentina Ravì; Riccardo Rizzo (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

miRTissue ce: extending miRTissue web service with the analysis of ceRNA-ceRNA interactions. - Antonino Fiannaca; Laura La Paglia; Massimo La Rosa; Riccardo Rizzo; Alfonso Urso (BMC Bioinform., 2020)

BITS2019: the sixteenth annual meeting of the Italian society of bioinformatics. - Alfonso Urso; Antonino Fiannaca; Massimo La Rosa; Laura La Paglia; Giosuè Lo Bosco; Riccardo Rizzo (BMC Bioinform., 2020)

A Gene Ontology-Driven Wide and Deep Learning Architecture for Cell-Type Classification from Single-Cell RNA-seq Data. - Gianmarco Coppola; Antonino Fiannaca; Massimo La Rosa; Laura La Paglia; Alfonso Urso; Salvatore Gaglio (EANN, 2022)

GOWDL: gene ontology-driven wide and deep learning model for cell typing of scRNA-seq data. - Antonino Fiannaca; Massimo La Rosa; Laura La Paglia; Salvatore Gaglio; Alfonso Urso (Briefings Bioinform., 2023)

A Deep Learning Multi-omics Framework to Combine Microbiome and Metabolome Profiles for Disease Classification. - Andrea Licciardi; Antonino Fiannaca; Massimo La Rosa; Alfonso Urso; Laura La Paglia (ICANN (8), 2024)

A deep learning framework for disease classification integrating microbiome and metabolome: explaining multi-omics contribution. - Andrea Licciardi; Antonino Fiannaca; Massimo La Rosa; Alfonso Urso; Laura La Paglia (KES, 2024)

Explainable artificial intelligence models for key-metabolites identification in overweight subjects. - Isabella Mendolia; Antonino Fiannaca; Laura La Paglia; Alfonso Urso; Massimo La Rosa (KES, 2024)