Classes of efficiently computable linear neural nets. - P. Occhinegro; Roberto Tagliaferri (Neural Networks, 1990)

The Behavior and Learning of a Deterministic Neural Net. - Eduardo R. Caianiello; Anna Esposito; Maria Marinaro; Roberto Tagliaferri (Complex Syst., 1992)

Neural associative memories with minimum connectivity. - Eduardo R. Caianiello; Antonella De Benedictis; Alfredo Petrosino; Roberto Tagliaferri (Neural Networks, 1992)

A neural network for error correcting decoding of binary linear codes. - Anna Esposito; Salvatore Rampone; Roberto Tagliaferri (Neural Networks, 1994)

Outline of a linear neural network. - Eduardo R. Caianiello; Maria Marinaro; Salvatore Rampone; Roberto Tagliaferri (Neurocomputing, 1996)

Neural networks for periodicity analysis of unevenly spaced data. - Maurizio Rasile; Roberto Tagliaferri; Leopoldo Milano; Giuseppe Longo (ICNN, 1997)

Response to the letter by Li and Cao. - Maria Marinaro; Salvatore Rampone; Roberto Tagliaferri (Neural Networks, 1997)

Fuzzy neural networks for classification and detection of anomalies. - M. Meneganti; F. S. Saviello; Roberto Tagliaferri (IEEE Trans. Neural Networks, 1998)

Neural nets and star/galaxy separation in wide field astronomical images. - Stefano Andreon; Giorgio Gargiulo; Giuseppe Longo; Roberto Tagliaferri; Nicola Capuano (IJCNN, 1999)

Hybrid neural networks for frequency estimation of unevenly sampled data. - Roberto Tagliaferri; Angelo Ciaramella; Leopoldo Milano; Fabrizio Barone (IJCNN, 1999)

Automated labeling for unsupervised neural networks: a hierarchical approach. - Roberto Tagliaferri; Nicola Capuano; Giorgio Gargiulo (IEEE Trans. Neural Networks, 1999)

A Hierarchical Neural Network-Based Approach to VIRGO Noise Identification. - Fausto Acernese; Fabrizio Barone; Antonio Eleuteri; F. Garufi; Leopoldo Milano; Roberto Tagliaferri (IJCNN (6), 2000)

An Evolutionary Hybrid Approach to the Design of a Decision Support System. - Vincenzo Loia; Antonino Staiano; Roberto Tagliaferri; Salvatore Sessa 002 (SAC (1), 2000)

Merging fuzzy logic, neural networks, and genetic computation in the design of a decision-support system. - Vincenzo Loia; Salvatore Sessa 002; Antonino Staiano; Roberto Tagliaferri (Int. J. Intell. Syst., 2000)

Neural Networks for Sulphur Dioxide Ground Level Concentrations Forecasting. - Massimo Andretta; Antonio Eleuteri; F. Fortezza; D. Manco; L. Mingozzi; Roberto Serra; Roberto Tagliaferri (Neural Comput. Appl., 2000)

Fuzzy Relations Neural Network: Some Preliminary Results. - Angelo Ciaramella; Roberto Tagliaferri; Witold Pedrycz (FUZZ-IEEE, 2001)

A Neural Network-based approach to system identification for whitening interferometer spectra. - Fausto Acernese; Leopoldo Milano; Fabrizio Barone; Antonio Eleuteri; Roberto Tagliaferri (WIRN, 2001)

Fuzzy min-max neural networks: from classification to regression. - Roberto Tagliaferri; Antonio Eleuteri; M. Meneganti; Fabrizio Barone (Soft Comput., 2001)

Bayesian Learning Techniques: Application to Neural Networks with Constraints on Weight Space. - Antonio Eleuteri; Roberto Tagliaferri; Leopoldo Milano; Fausto Acernese; Michele De Laurentiis (WIRN, 2002)

A hierarchical Bayesian learning scheme for autoregressive neural networks. - Fausto Acernese; Fabrizio Barone; Rosario De Rosa; Antonio Eleuteri; Leopoldo Milano; Roberto Tagliaferri (IJCNN, 2003)

Amplitude and permutation indeterminacies in frequency domain convolved ICA. - Angelo Ciaramella; Roberto Tagliaferri (IJCNN, 2003)

Survival analysis and neural networks. - Antonio Eleuteri; Roberto Tagliaferri; Leopoldo Milano; Gennaro Sansone; Diego D'Agostino; Sabino De Placido; Michele De Laurentiis (IJCNN, 2003)

Fuzzy Relational Neural Network for Data Analysis. - Angelo Ciaramella; Roberto Tagliaferri; Witold Pedrycz; Antonio Di Nola (WILF, 2003)

Linear Regression Model-Guided Clustering for Training RBF Networks for Regression Problems. - Antonino Staiano; Roberto Tagliaferri; Witold Pedrycz (WILF, 2003)

Divergence Projections for Variable Selection in Multi-layer Perceptron Networks. - Antonio Eleuteri; Roberto Tagliaferri; Leopoldo Milano (WIRN, 2003)

Soft Computing Techniques for Classification of Bronze Age Axes. - Lara Giordano; Claude Albore Livadie; Giovanni Paternoster; Raffaele Rinzivillo; Roberto Tagliaferri (WIRN, 2003)

Neural Networks for Photometric Redshifts Evaluation. - Roberto Tagliaferri; Giuseppe Longo; Stefano Andreon; Salvatore Capozziella; Ciro Donalek; Gerardo Giordano (WIRN, 2003)

A novel neural network-based survival analysis model. - Antonio Eleuteri; Roberto Tagliaferri; Leopoldo Milano; Sabino De Placido; Michele De Laurentiis (Neural Networks, 2003)

Introduction: Neural networks for analysis of complex scientific data: astronomy and geosciences. - Roberto Tagliaferri; Giuseppe Longo; Bruno D'Argenio; Alberto Incoronato (Neural Networks, 2003)

Neural neZtworks in astronomy. - Roberto Tagliaferri; Giuseppe Longo; Leopoldo Milano; Fausto Acernese; Fabrizio Barone; Angelo Ciaramella; Rosario De Rosa; Ciro Donalek; Antonio Eleuteri; Giancarlo Raiconi; Salvatore Sessa 002; Antonino Staiano; et al. (Neural Networks, 2003)

Neural networks for blind-source separation of Stromboli explosion quakes. - Fausto Acernese; Angelo Ciaramella; Salvatore De Martino; Rosario De Rosa; Mariarosaria Falanga; Roberto Tagliaferri (IEEE Trans. Neural Networks, 2003)

Ordinal sums by using genetic algorithms. - Angelo Ciaramella; Roberto Tagliaferri; Witold Pedrycz (FUZZ-IEEE, 2004)

Probabilistic Principal Surfaces for Yeast Gene Microarray Data Mining. - Antonino Staiano; Lara De Vinco; Angelo Ciaramella; Giancarlo Raiconi; Roberto Tagliaferri; Roberto Amato; Giuseppe Longo; Ciro Donalek; Gennaro Miele; Diego di Bernardo (ICDM, 2004)

A hierarchical Bayesian learning scheme for autoregressive neural networks: application to the CATS benchmark. - Fausto Acernese; Antonio Eleuteri; Leopoldo Milano; Roberto Tagliaferri (IJCNN, 2004)

ICA for modelling and generating organ pipes self-sustained tones. - Angelo Ciaramella; Enza De Lauro; Salvatore De Martino; Mariarosaria Falanga; Roberto Tagliaferri (IJCNN, 2004)

An information geometric approach to survival analysis and feature selection by neural networks. - Antonio Eleuteri; Roberto Tagliaferri; Leopoldo Milano; Michele De Laurentiis (IJCNN, 2004)

Committee of spherical probabilistic principal surfaces. - Antonino Staiano; Roberto Tagliaferri; Guiseppe Longon; Piero Benvenuti (IJCNN, 2004)

Mining Yeast Gene Microarray Data with Latent Variable Models. - Antonino Staiano; Roberto Tagliaferri; Lara De Vinco; Angelo Ciaramella; Giancarlo Raiconi; Giuseppe Longo; Gennaro Miele; Roberto Amato; Carmine Del Mondo; Ciro Donalek; Giuseppe Mangano; Diego di Bernardo (WIRN, 2004)

Visualization, Clustering and Classification of Multidimensional Astronomical Data. - Antonino Staiano; Angelo Ciaramella; Lara De Vinco; Giuseppe Longo; Giancarlo Raiconi; Roberto Tagliaferri; Roberto Amato; Carmine Del Mondo; Giuseppe Mangano; Gennaro Miele (CAMP, 2005)

BSS Toolbox for delayed and convolved mixtures. - Angelo Ciaramella; Roberto Tagliaferri; Francesco Iorio (IJCNN, 2005)

Data visualization methodologies for data mining systems in bioinformatics. - Antonino Staiano; Angelo Ciaramella; Giancarlo Raiconi; Roberto Tagliaferri; Roberto Amato; Giuseppe Longo; Gennaro Miele; Ciro Donalek (IJCNN, 2005)

NEC for Gene Expression Analysis. - Roberto Amato; Angelo Ciaramella; Natalia Deniskina; Carmine Del Mondo; Diego di Bernardo; Ciro Donalek; Giuseppe Longo; Giuseppe Mangano; Gennaro Miele; Giancarlo Raiconi; Antonino Staiano; Roberto Tagliaferri (WILF, 2005)

OR/AND Neurons for Fuzzy Set Connectives Using Ordinal Sums and Genetic Algorithms. - Angelo Ciaramella; Witold Pedrycz; Roberto Tagliaferri (WILF, 2005)

NEC: A Hierarchical Agglomerative Clustering Based on Fisher and Negentropy Information. - Angelo Ciaramella; Giuseppe Longo; Antonino Staiano; Roberto Tagliaferri (WIRN/NAIS, 2005)

The genetic development of ordinal sums. - Angelo Ciaramella; Roberto Tagliaferri; Witold Pedrycz (Fuzzy Sets Syst., 2005)

Textural identification of carbonate rocks by image processing and neural network: Methodology proposal and examples. - Roberto Marmo; Sabrina Amodio; Roberto Tagliaferri; Vittoria Ferreri; Giuseppe Longo (Comput. Geosci., 2005)

A novel information geometric approach to variable selection in MLP networks. - Antonio Eleuteri; Roberto Tagliaferri; Leopoldo Milano (Neural Networks, 2005)

A multi-step approach to time series analysis and gene expression clustering. - Roberto Amato; Angelo Ciaramella; Natalia Deniskina; Carmine Del Mondo; Diego di Bernardo; Ciro Donalek; Giuseppe Longo; Giuseppe Mangano; Gennaro Miele; Giancarlo Raiconi; Antonino Staiano; Roberto Tagliaferri (Bioinform., 2006)

Fuzzy relational neural network. - Angelo Ciaramella; Roberto Tagliaferri; Witold Pedrycz; Antonio Di Nola (Int. J. Approx. Reason., 2006)

Improving RBF networks performance in regression tasks by means of a supervised fuzzy clustering. - Antonino Staiano; Roberto Tagliaferri; Witold Pedrycz (Neurocomputing, 2006)

ICA based identification of dynamical systems generating synthetic and real world time series. - Angelo Ciaramella; Enza De Lauro; Salvatore De Martino; Mariarosaria Falanga; Roberto Tagliaferri (Soft Comput., 2006)

Neural Network Techniques for Proactive Password Checking. - Angelo Ciaramella; Paolo D'Arco; Alfredo De Santis; Clemente Galdi; Roberto Tagliaferri (IEEE Trans. Dependable Secur. Comput., 2006)

Clustering, Assessment and Validation: an application to gene expression data. - Angelo Ciaramella; Sergio Cocozza; Francesco Iorio; Gennaro Miele; Francesco Napolitano; Michele Pinelli; Giancarlo Raiconi; Roberto Tagliaferri (IJCNN, 2007)

An Interactive Tool for Data Visualization and Clustering. - Francesco Iorio; Gennaro Miele; Francesco Napolitano; Giancarlo Raiconi; Roberto Tagliaferri (KES (3), 2007)

PCA Based Feature Selection Applied to the Analysis of the International Variation in Diet. - Faraz Bishehsari; Mahboobeh Mahdavinia; Reza Malekzadeh; Renato Mariani-Costantini; Gennaro Miele; Francesco Napolitano; Giancarlo Raiconi; Roberto Tagliaferri; Fabio Verginelli (WILF, 2007)

The Genetic Development of Uninorm-Based Neurons. - Angelo Ciaramella; Witold Pedrycz; Roberto Tagliaferri (WILF, 2007)

Building Maps of Drugs Mode-of-Action from Gene Expression Data. - Francesco Iorio; Roberto Tagliaferri; Diego di Bernardo (CIBB, 2008)

High-Throughput Analysis of the Drug Mode of Action of PB28, MC18 and MC70, Three Cyclohexylpiperazine Derivative New Molecules. - Vitoantonio Bevilacqua; Paolo Pannarale; Giuseppe Mastronardi; Amalia Azzariti; Stefania Tommasi; Filippo Menolascina; Francesco Iorio; Diego di Bernardo; Angelo Paradiso; Nicola A. Colabufo; Francesco Berardi; Roberto Perrone; et al. (ICIC (2), 2008)

Robust Clustering by Aggregation and Intersection Methods. - Ida Bifulco; Carmine Fedullo; Francesco Napolitano; Giancarlo Raiconi; Roberto Tagliaferri (KES (3), 2008)

Using Global Optimization to Explore Multiple Solutions of Clustering Problems. - Ida Bifulco; Loredana Murino; Francesco Napolitano; Giancarlo Raiconi; Roberto Tagliaferri (KES (3), 2008)

Interactive Visualization Tools for Meta-Clustering. - Ida Bifulco; Francesco Iorio; Francesco Napolitano; Giancarlo Raiconi; Roberto Tagliaferri (WIRN, 2008)

Preface. - Vito Di Gesù; Roberto Tagliaferri (Int. J. Approx. Reason., 2008)

Clustering and visualization approaches for human cell cycle gene expression data analysis. - Francesco Napolitano; Giancarlo Raiconi; Roberto Tagliaferri; Angelo Ciaramella; Antonino Staiano; Gennaro Miele (Int. J. Approx. Reason., 2008)

Interactive data analysis and clustering of genomic data. - Angelo Ciaramella; Sergio Cocozza; Francesco Iorio; Gennaro Miele; Francesco Napolitano; Michele Pinelli; Giancarlo Raiconi; Roberto Tagliaferri (Neural Networks, 2008)

Multiple Clustering Solutions Analysis through Least-Squares Consensus Algorithms. - Loredana Murino; Claudia Angelini; Ida Bifulco; Italia De Feis; Giancarlo Raiconi; Roberto Tagliaferri (CIBB, 2009)

Global optimization, Meta Clustering and consensus clustering for class prediction. - Ida Bifulco; Carmine Fedullo; Francesco Napolitano; Giancarlo Raiconi; Roberto Tagliaferri (IJCNN, 2009)

Metaclustering and Consensus Algorithms for Interactive Data Analysis and Validation. - Ida Bifulco; Carmine Fedullo; Francesco Napolitano; Giancarlo Raiconi; Roberto Tagliaferri (WILF, 2009)

Computational intelligence and machine learning in bioinformatics. - Giorgio Valentini; Roberto Tagliaferri; Francesco Masulli (Artif. Intell. Medicine, 2009)

Multiple data structure discovery through global optimisation, meta clustering and consensus methods. - Ida Bifulco; Carmine Fedullo; Francesco Napolitano; Giancarlo Raiconi; Roberto Tagliaferri (Int. J. Knowl. Eng. Soft Data Paradigms, 2009)

Identifying Network of Drug Mode of Action by Gene Expression Profiling. - Francesco Iorio; Roberto Tagliaferri; Diego di Bernardo (J. Comput. Biol., 2009)

Biclustering by Resampling. - Ekaterina Nosova; Roberto Tagliaferri; Francesco Masulli; Stefano Rovetta (CIBB, 2010)

Gene ontology fuzzy-enrichment analysis to investigate drug mode-of-action. - Francesco Iorio; Loredana Murino; Diego di Bernardo; Giancarlo Raiconi; Roberto Tagliaferri (IJCNN, 2010)

A scalable reference-point based algorithm to efficiently search large chemical databases. - Francesco Napolitano; Roberto Tagliaferri; Pierre Baldi (IJCNN, 2010)

A Combinatoric biclustering algorithm. - Ekaterina Nosova; Giancarlo Raiconi; Roberto Tagliaferri (WIRN, 2010)

Data Mining in Cancer Research [Application Notes]. - Paulo J. G. Lisboa; Alfredo Vellido; Roberto Tagliaferri; Francesco Napolitano; Michele Ceccarelli; José David Martín-Guerrero; Elia Biganzoli (IEEE Comput. Intell. Mag., 2010)

Supporting the Design, Communication and Management of Bioinformatic Protocols through the Leaf Tool. - Francesco Napolitano; Roberto Tagliaferri (CIBB, 2011)

A multi-Biclustering Combinatorial Based algorithm. - Ekaterina Nosova; Giancarlo Raiconi; Roberto Tagliaferri (CIDM, 2011)

Modeling and Generating Organ Pipes Self-Sustained Tones by Using ICA. - Angelo Ciaramella; Enza De Lauro; Salvatore De Martino; Mariarosaria Falanga; Roberto Tagliaferri (J. Signal Inf. Process., 2011)

Beyond classical consensus clustering: The least squares approach to multiple solutions. - Loredana Murino; Claudia Angelini; Italia De Feis; Giancarlo Raiconi; Roberto Tagliaferri (Pattern Recognit. Lett., 2011)

Advances in Computational Intelligence and Bioinformatics. - Francesco Masulli; Roberto Tagliaferri (Soft Comput., 2011)

An Adaptive Reference Point Approach to Efficiently Search Large Chemical Databases. - Francesco Napolitano; Roberto Tagliaferri; Pierre Baldi (WIRN, 2013)

Bioinformatic pipelines in Python with leaf. - Francesco Napolitano; Renato Mariani-Costantini; Roberto Tagliaferri (BMC Bioinform., 2013)

Drug Repositioning: A Machine-Learning Approach through Data Integration. - Francesco Napolitano; Yan Zhao; Vania M. Moreira; Roberto Tagliaferri; Juha Kere; Mauro D'Amato; Dario Greco (J. Cheminformatics, 2013)

An improved combinatorial biclustering algorithm. - Ekaterina Nosova; Francesco Napolitano; Roberto Amato; Sergio Cocozza; Gennaro Miele; Giancarlo Raiconi; Roberto Tagliaferri (Neural Comput. Appl., 2013)

Consensus Clustering in Gene Expression. - Paola Galdi; Francesco Napolitano; Roberto Tagliaferri (CIBB, 2014)

Transcriptome dynamics-based operon prediction in prokaryotes. - Vittorio Fortino; Olli-Pekka Smolander; Petri Auvinen; Roberto Tagliaferri; Dario Greco (BMC Bioinform., 2014)

Multi omic oscillations in bacterial pathways. - Francesco Bardozzo; Pietro Liò; Roberto Tagliaferri (IJCNN, 2015)

Impact of different metrics on multi-view clustering. - Angela Serra; Dario Greco; Roberto Tagliaferri (IJCNN, 2015)

A multi-view genomic data simulator. - Michele Fratello; Angela Serra; Vittorio Fortino; Giancarlo Raiconi; Roberto Tagliaferri; Dario Greco (BMC Bioinform., 2015)

MVDA: a multi-view genomic data integration methodology. - Angela Serra; Michele Fratello; Vittorio Fortino; Giancarlo Raiconi; Roberto Tagliaferri; Dario Greco (BMC Bioinform., 2015)

Data integration in genomics and systems biology. - Angela Serra; Michele Fratello; Dario Greco; Roberto Tagliaferri (CEC, 2016)

Effectiveness of projection techniques in genomic data analysis. - Paola Galdi; Angela Serra; Dario Greco; Roberto Tagliaferri (RTSI, 2016)

Rotation Clustering: A Consensus Clustering Approach to Cluster Gene Expression Data. - Paola Galdi; Angela Serra; Roberto Tagliaferri (WILF, 2016)

CONDOP: an R package for CONdition-Dependent Operon Predictions. - Vittorio Fortino; Roberto Tagliaferri; Dario Greco (Bioinform., 2016)

Hierarchical Block Matrix Approach for Multi-view Clustering. - Angela Serra; Maria Domenica Guida; Pietro Lió; Roberto Tagliaferri (CIBB, 2017)

E2FM: an encrypted and compressed full-text index for collections of genomic sequences. - Ferdinando Montecuollo; Giovanni Schmid; Roberto Tagliaferri (Bioinform., 2017)

Multi-View Ensemble Classification of Brain Connectivity Images for Neurodegeneration Type Discrimination. - Michele Fratello; Giuseppina Caiazzo; Francesca Trojsi; Antonio Russo; Gioacchino Tedeschi; Roberto Tagliaferri; Fabrizio Esposito (Neuroinformatics, 2017)

Automatic Discrimination of Auditory Stimuli Perceived by the Human Brain. - Angela Serra; Antonio della Pietra; Marcus Herdener; Roberto Tagliaferri; Fabrizio Esposito (CIBB, 2018)

A Deep Learning Approach for Road Damage Classification. - Gioele Ciaparrone; Angela Serra; Vito Covito; Paolo Finelli; Carlo Alberto Scarpato; Roberto Tagliaferri (MUE/FutureTech, 2018)

Robust clustering of noisy high-dimensional gene expression data for patients subtyping. - Pietro Coretto; Angela Serra; Roberto Tagliaferri (Bioinform., 2018)

Robust and sparse correlation matrix estimation for the analysis of high-dimensional genomics data. - Angela Serra; Pietro Coretto; Michele Fratello; Roberto Tagliaferri (Bioinform., 2018)

A study on multi-omic oscillations in Escherichia coli metabolic networks. - Francesco Bardozzo; Pietro Liò; Roberto Tagliaferri (BMC Bioinform., 2018)

Consensus-based feature extraction in rs-fMRI data analysis. - Paola Galdi; Michele Fratello; Francesca Trojsi; Antonio Russo; Gioacchino Tedeschi; Roberto Tagliaferri; Fabrizio Esposito (Soft Comput., 2018)

Machine learning for bioinformatics and neuroimaging. - Angela Serra; Paola Galdi; Roberto Tagliaferri (WIREs Data Mining Knowl. Discov., 2018)

Strong-Weak Pruning for Brain Network Identification in Connectome-Wide Neuroimaging: Application to Amyotrophic Lateral Sclerosis Disease Stage Characterization. - Angela Serra; Paola Galdi; Emanuele Pesce; Michele Fratello; Francesca Trojsi; Gioacchino Tedeschi; Roberto Tagliaferri; Fabrizio Esposito (Int. J. Neural Syst., 2019)

Stochastic Rank Aggregation for the Identification of Functional Neuromarkers. - Paola Galdi; Michele Fratello; Francesca Trojsi; Antonio Russo; Gioacchino Tedeschi; Roberto Tagliaferri; Fabrizio Esposito (Neuroinformatics, 2019)

Decision Trees and Random Forests. - Michele Fratello; Roberto Tagliaferri (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

Data Mining: Accuracy and Error Measures for Classification and Prediction. - Paola Galdi; Roberto Tagliaferri (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

Unsupervised Learning: Clustering. - Angela Serra; Roberto Tagliaferri (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

Motor strength classification with machine learning approaches applied to anatomical neuroimages. - Francesco Bardozzo; Sebastian Cano Uribe; Andrea G. Russo; Mateo Jiménez Castaño; Mattia delli Priscoli; Fabrizio Esposito; Roberto Tagliaferri (IJCNN, 2020)

A comparative analysis of multi-backbone Mask R-CNN for surgical tools detection. - Gioele Ciaparrone; Francesco Bardozzo; Mattia delli Priscoli; Juanita Londoño Kallewaard; Maycol Ruiz Zuluaga; Roberto Tagliaferri (IJCNN, 2020)

A machine learning approach to investigate regulatory control circuits in bacterial metabolic pathways. - Francesco Bardozzo; Pietro Liò; Roberto Tagliaferri (CoRR, 2020)

Adaptive binarization based on fuzzy integrals. - Francesco Bardozzo; Borja de la Osa; Lubomíra Horanská; Javier Fumanal-Idocin; Mattia delli Priscoli; Luigi Troiano; Roberto Tagliaferri; Javier Fernández 002; Humberto Bustince (CoRR, 2020)

Deep learning in video multi-object tracking: A survey. - Gioele Ciaparrone; Francisco Luque Sánchez; Siham Tabik; Luigi Troiano; Roberto Tagliaferri; Francisco Herrera (Neurocomputing, 2020)

Dimension Reduction Techniques in a Brain-Computer Interface Application. - Federico Cozza; Paola Galdi; Angela Serra; Gabriele Pasqua; Luigi Pavone; Roberto Tagliaferri (Neural Approaches to Dynamics of Signal Exchanges, 2020)

Soft Brain Ageing Indicators Based on Light-Weight LeNet-Like Neural Networks and Localized 2D Brain Age Biomarkers. - Francesco Bardozzo; Mattia delli Priscoli; Andrea G. Russo; Davide Crescenzi; Ugo Di Benedetto; Fabrizio Esposito; Roberto Tagliaferri (CIBB, 2021)

Blind microscopy image denoising with a deep residual and multiscale encoder/decoder network. - Fabio Hernán Gil Zuluaga; Francesco Bardozzo; Jorge Iván Ríos Patiño; Roberto Tagliaferri (EMBC, 2021)

A review on drug repurposing applicable to COVID-19. - Serena Dotolo; Anna Marabotti; Angelo M. Facchiano; Roberto Tagliaferri (Briefings Bioinform., 2021)

A multiple network-based bioinformatics pipeline for the study of molecular mechanisms in oncological diseases for personalized medicine. - Serena Dotolo; Anna Marabotti; Anna Maria Rachiglio; Riziero Esposito Abate; Marco Benedetto; Fortunato Ciardiello; Antonella De Luca; Nicola Normanno; Angelo M. Facchiano; Roberto Tagliaferri (Briefings Bioinform., 2021)

Signal metrics analysis of oscillatory patterns in bacterial multi-omic networks. - Francesco Bardozzo; Pietro Lió; Roberto Tagliaferri (Bioinform., 2021)

Sugeno integral generalization applied to improve adaptive image binarization. - Francesco Bardozzo; Borja de la Osa; Lubomíra Horanská; Javier Fumanal-Idocin; Mattia delli Priscoli; Luigi Troiano; Roberto Tagliaferri; Javier Fernández 002; Humberto Bustince (Inf. Fusion, 2021)

Cross X-AI: Explainable Semantic Segmentation of Laparoscopic Images in Relation to Depth Estimation. - Francesco Bardozzo; Mattia delli Priscoli; Toby Collins; Antonello Forgione; Alexandre Hostettler; Roberto Tagliaferri (IJCNN, 2022)

StaSiS-Net: A stacked and siamese disparity estimation network for depth reconstruction in modern 3D laparoscopy. - Francesco Bardozzo; Toby Collins; Antonello Forgione; Alexandre Hostettler; Roberto Tagliaferri (Medical Image Anal., 2022)

A comparison of deep learning models for end-to-end face-based video retrieval in unconstrained videos. - Gioele Ciaparrone; Leonardo Chiariglione; Roberto Tagliaferri (Neural Comput. Appl., 2022)

Deep learning for volatility forecasting in asset management. - Alessio Petrozziello; Luigi Troiano; Angela Serra; Ivan Jordanov; Giuseppe Storti; Roberto Tagliaferri; Michele La Rocca 001 (Soft Comput., 2022)

Transfer Learning and AutoML as a Support for the Pneumonia Diagnosis Using Chest X-ray Scan. - Antonio Agliata; Francesco Bardozzo; Salvatore Bottiglieri; Giovanni Marco Di Vincenzo; Sorrentino Mariacarmen; Roberto Tagliaferri (CIBB, 2023)

ElegansNet: a brief scientific report and initial experiments. - Francesco Bardozzo; Andrea Terlizzi; Pietro Liò; Roberto Tagliaferri (CoRR, 2023)

FP-Elegans M1: Feature Pyramid Reservoir Connectome Transformers and Multi-backbone Feature Extractors for MEDMNIST2D-V2. - Francesco Bardozzo; Pierpaolo Fiore; Pietro Liò; Roberto Tagliaferri (CIBB, 2024)

Label-Free Nervous System Single Cell Classification Using Pretrained VGG and ResNet Networks. - Pierpaolo Fiore; Francesco Bardozzo; Roberto Tagliaferri (RTSI, 2024)

Enhanced tissue slide imaging in the complex domain via cross-explainable GAN for Fourier ptychographic microscopy. - Francesco Bardozzo; Pierpaolo Fiore; Marika Valentino; Vittorio Bianco; Pasquale Memmolo; Lisa Miccio; Valentina Brancato; Giovanni Smaldone; Marcello Gambacorta; Marco Salvatore; Pietro Ferraro; Roberto Tagliaferri (Comput. Biol. Medicine, 2024)

Elegans-AI: How the connectome of a living organism could model artificial neural networks. - Francesco Bardozzo; Andrea Terlizzi; Claudio Simoncini; Pietro Lió; Roberto Tagliaferri (Neurocomputing, 2024)

Advancing label-free cell classification with connectome-inspired explainable models and a novel LIVECell-CLS dataset. - Pierpaolo Fiore; Andrea Terlizzi; Francesco Bardozzo; Pietro Liò; Roberto Tagliaferri (Comput. Biol. Medicine, 2025)