Roberto Tagliaferri

According to our database1, Roberto Tagliaferri authored at least 111 papers between 1990 and 2021.

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Bibliography

2021
Sugeno integral generalization applied to improve adaptive image binarization.
Inf. Fusion, 2021

Blind microscopy image denoising with a deep residual and multiscale encoder/decoder network.
CoRR, 2021

Signal metrics analysis of oscillatory patterns in bacterial multi-omic networks.
Bioinform., 2021

A multiple network-based bioinformatics pipeline for the study of molecular mechanisms in oncological diseases for personalized medicine.
Briefings Bioinform., 2021

A review on drug repurposing applicable to COVID-19.
Briefings Bioinform., 2021

2020
Dimension Reduction Techniques in a Brain-Computer Interface Application.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Deep learning in video multi-object tracking: A survey.
Neurocomputing, 2020

Adaptive binarization based on fuzzy integrals.
CoRR, 2020

A machine learning approach to investigate regulatory control circuits in bacterial metabolic pathways.
CoRR, 2020

A comparative analysis of multi-backbone Mask R-CNN for surgical tools detection.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Motor strength classification with machine learning approaches applied to anatomical neuroimages.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Unsupervised Learning: Clustering.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019

Data Mining: Accuracy and Error Measures for Classification and Prediction.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019

Decision Trees and Random Forests.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019

Stochastic Rank Aggregation for the Identification of Functional Neuromarkers.
Neuroinformatics, 2019

Strong-Weak Pruning for Brain Network Identification in Connectome-Wide Neuroimaging: Application to Amyotrophic Lateral Sclerosis Disease Stage Characterization.
Int. J. Neural Syst., 2019

2018
Machine learning for bioinformatics and neuroimaging.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2018

Consensus-based feature extraction in rs-fMRI data analysis.
Soft Comput., 2018

A study on multi-omic oscillations in Escherichia coli metabolic networks.
BMC Bioinform., 2018

Robust and sparse correlation matrix estimation for the analysis of high-dimensional genomics data.
Bioinform., 2018

Robust clustering of noisy high-dimensional gene expression data for patients subtyping.
Bioinform., 2018

A Deep Learning Approach for Road Damage Classification.
Proceedings of the Advanced Multimedia and Ubiquitous Engineering, 2018

Automatic Discrimination of Auditory Stimuli Perceived by the Human Brain.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018

2017
Multi-View Ensemble Classification of Brain Connectivity Images for Neurodegeneration Type Discrimination.
Neuroinformatics, 2017

E2FM: an encrypted and compressed full-text index for collections of genomic sequences.
Bioinform., 2017

Hierarchical Block Matrix Approach for Multi-view Clustering.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2017

2016
CONDOP: an R package for CONdition-Dependent Operon Predictions.
Bioinform., 2016

Rotation Clustering: A Consensus Clustering Approach to Cluster Gene Expression Data.
Proceedings of the Fuzzy Logic and Soft Computing Applications, 2016

Effectiveness of projection techniques in genomic data analysis.
Proceedings of the 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2016

Data integration in genomics and systems biology.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
MVDA: a multi-view genomic data integration methodology.
BMC Bioinform., 2015

A multi-view genomic data simulator.
BMC Bioinform., 2015

Impact of different metrics on multi-view clustering.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Multi omic oscillations in bacterial pathways.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Transcriptome dynamics-based operon prediction in prokaryotes.
BMC Bioinform., 2014

Consensus Clustering in Gene Expression.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2014

2013
An improved combinatorial biclustering algorithm.
Neural Comput. Appl., 2013

Drug Repositioning: A Machine-Learning Approach through Data Integration.
J. Cheminformatics, 2013

Bioinformatic pipelines in Python with leaf.
BMC Bioinform., 2013

An Adaptive Reference Point Approach to Efficiently Search Large Chemical Databases.
Proceedings of the Recent Advances of Neural Network Models and Applications, 2013

2011
Advances in Computational Intelligence and Bioinformatics.
Soft Comput., 2011

Beyond classical consensus clustering: The least squares approach to multiple solutions.
Pattern Recognit. Lett., 2011

Modeling and Generating Organ Pipes Self-Sustained Tones by Using ICA.
J. Signal Inf. Process., 2011

A multi-Biclustering Combinatorial Based algorithm.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

Supporting the Design, Communication and Management of Bioinformatic Protocols through the Leaf Tool.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011

2010
Data Mining in Cancer Research [Application Notes].
IEEE Comput. Intell. Mag., 2010

A Combinatoric biclustering algorithm.
Proceedings of the Neural Nets WIRN10, 2010

A scalable reference-point based algorithm to efficiently search large chemical databases.
Proceedings of the International Joint Conference on Neural Networks, 2010

Gene ontology fuzzy-enrichment analysis to investigate drug mode-of-action.
Proceedings of the International Joint Conference on Neural Networks, 2010

Biclustering by Resampling.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2010

2009
Identifying Network of Drug Mode of Action by Gene Expression Profiling.
J. Comput. Biol., 2009

Multiple data structure discovery through global optimisation, meta clustering and consensus methods.
Int. J. Knowl. Eng. Soft Data Paradigms, 2009

Computational intelligence and machine learning in bioinformatics.
Artif. Intell. Medicine, 2009

Metaclustering and Consensus Algorithms for Interactive Data Analysis and Validation.
Proceedings of the Fuzzy Logic and Applications, 8th International Workshop, 2009

Global optimization, Meta Clustering and consensus clustering for class prediction.
Proceedings of the International Joint Conference on Neural Networks, 2009

Multiple Clustering Solutions Analysis through Least-Squares Consensus Algorithms.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2009

2008
Interactive data analysis and clustering of genomic data.
Neural Networks, 2008

Clustering and visualization approaches for human cell cycle gene expression data analysis.
Int. J. Approx. Reason., 2008

Preface.
Int. J. Approx. Reason., 2008

Interactive Visualization Tools for Meta-Clustering.
Proceedings of the New Directions in Neural Networks, 2008

Using Global Optimization to Explore Multiple Solutions of Clustering Problems.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

Robust Clustering by Aggregation and Intersection Methods.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

High-Throughput Analysis of the Drug Mode of Action of PB28, MC18 and MC70, Three Cyclohexylpiperazine Derivative New Molecules.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

Building Maps of Drugs Mode-of-Action from Gene Expression Data.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2008

2007
The Genetic Development of Uninorm-Based Neurons.
Proceedings of the Applications of Fuzzy Sets Theory, 2007

PCA Based Feature Selection Applied to the Analysis of the International Variation in Diet.
Proceedings of the Applications of Fuzzy Sets Theory, 2007

An Interactive Tool for Data Visualization and Clustering.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Clustering, Assessment and Validation: an application to gene expression data.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
Neural Network Techniques for Proactive Password Checking.
IEEE Trans. Dependable Secur. Comput., 2006

ICA based identification of dynamical systems generating synthetic and real world time series.
Soft Comput., 2006

Improving RBF networks performance in regression tasks by means of a supervised fuzzy clustering.
Neurocomputing, 2006

Fuzzy relational neural network.
Int. J. Approx. Reason., 2006

A multi-step approach to time series analysis and gene expression clustering.
Bioinform., 2006

2005
A novel information geometric approach to variable selection in MLP networks.
Neural Networks, 2005

Textural identification of carbonate rocks by image processing and neural network: Methodology proposal and examples.
Comput. Geosci., 2005

The genetic development of ordinal sums.
Fuzzy Sets Syst., 2005

NEC: A Hierarchical Agglomerative Clustering Based on Fisher and Negentropy Information.
Proceedings of the Neural Nets, 16th Italian Workshop on Neural Nets, 2005

OR/AND Neurons for Fuzzy Set Connectives Using Ordinal Sums and Genetic Algorithms.
Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005

NEC for Gene Expression Analysis.
Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005

Visualization, Clustering and Classification of Multidimensional Astronomical Data.
Proceedings of the Seventh International Workshop on Computer Architectures for Machine Perception (CAMP 2005), 2005

2004
Mining Yeast Gene Microarray Data with Latent Variable Models.
Proceedings of the Biological and Artificial Intelligence Environments, 2004

Probabilistic Principal Surfaces for Yeast Gene Microarray Data Mining.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Ordinal sums by using genetic algorithms.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2003
Neural networks for blind-source separation of Stromboli explosion quakes.
IEEE Trans. Neural Networks, 2003

Neural neZtworks in astronomy.
Neural Networks, 2003

Introduction: Neural networks for analysis of complex scientific data: astronomy and geosciences.
Neural Networks, 2003

A novel neural network-based survival analysis model.
Neural Networks, 2003

Neural Networks for Photometric Redshifts Evaluation.
Proceedings of the Neural Nets, 14th Italian Workshop on Neural Nets, 2003

Soft Computing Techniques for Classification of Bronze Age Axes.
Proceedings of the Neural Nets, 14th Italian Workshop on Neural Nets, 2003

Divergence Projections for Variable Selection in Multi-layer Perceptron Networks.
Proceedings of the Neural Nets, 14th Italian Workshop on Neural Nets, 2003

Linear Regression Model-Guided Clustering for Training RBF Networks for Regression Problems.
Proceedings of the Fuzzy Logic and Applications, 5th International Workshop, 2003

Fuzzy Relational Neural Network for Data Analysis.
Proceedings of the Fuzzy Logic and Applications, 5th International Workshop, 2003

2002
Bayesian Learning Techniques: Application to Neural Networks with Constraints on Weight Space.
Proceedings of the Neural Nets, 13th Italian Workshop on Neural Nets, 2002

2001
Fuzzy min-max neural networks: from classification to regression.
Soft Comput., 2001

A Neural Network-based approach to system identification for whitening interferometer spectra.
Proceedings of the 12th Italian Workshop on Neural Nets, 2001

Fuzzy Relations Neural Network: Some Preliminary Results.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

2000
Neural Networks for Sulphur Dioxide Ground Level Concentrations Forecasting.
Neural Comput. Appl., 2000

Merging fuzzy logic, neural networks, and genetic computation in the design of a decision-support system.
Int. J. Intell. Syst., 2000

An Evolutionary Hybrid Approach to the Design of a Decision Support System.
Proceedings of the Applied Computing 2000, 2000

A Hierarchical Neural Network-Based Approach to VIRGO Noise Identification.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
Automated labeling for unsupervised neural networks: a hierarchical approach.
IEEE Trans. Neural Networks, 1999

Hybrid neural networks for frequency estimation of unevenly sampled data.
Proceedings of the International Joint Conference Neural Networks, 1999

Neural nets and star/galaxy separation in wide field astronomical images.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
Fuzzy neural networks for classification and detection of anomalies.
IEEE Trans. Neural Networks, 1998

1997
Response to the letter by Li and Cao.
Neural Networks, 1997

Neural networks for periodicity analysis of unevenly spaced data.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996
Outline of a linear neural network.
Neurocomputing, 1996

1994
A neural network for error correcting decoding of binary linear codes.
Neural Networks, 1994

1992
Neural associative memories with minimum connectivity.
Neural Networks, 1992

The Behavior and Learning of a Deterministic Neural Net.
Complex Syst., 1992

1990
Classes of efficiently computable linear neural nets.
Neural Networks, 1990


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