Publications

Enhancing feature compression and reconstruction in time-series and image domains with pseudo-overlap and pseudo-grouping pooling functions

Matteo Carollo, Mikel Ferrero-Jaurrieta, Rui Paiva, Francesco Bardozzo, Roberto Tagliaferri

Knowledge-Based Systems · 01 Mar 2026 · doi:10.1016/j.knosys.2026.115333

Exploring the efficiency of GPT models in automating trial balance mapping: applications and insights

Matteo Carollo, Lucia Lauri, Francesco Bardozzo, Emanuela Mattia Cafaro, Raffaele D’Alessio, Roberto Tagliaferri

Soft Computing · 21 Jan 2026 · doi:10.1007/s00500-025-10983-4

Real-time complex amplitude retrieval in Fourier ptychographic microscopy using dual-channel input GAN

Marika Valentino, Pierpaolo Fiore, Francesco Bardozzo, Daniele Pirone, Valentina Brancato, ..., Lisa Miccio, Pasquale Memmolo, Roberto Tagliaferri, Vittorio Bianco, Pietro Ferraro

Optical Methods for Inspection, Characterization, and Imaging of Biomaterials VII · 01 Aug 2025 · doi:10.1117/12.3065442

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

Computers in Biology and Medicine · 01 Jun 2025 · doi:10.1016/j.compbiomed.2025.110274

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, Mariacarmen Sorrentino, Roberto Tagliaferri

Lecture Notes in Computer Science · 01 Jan 2025 · doi:10.1007/978-3-031-90714-2_23

FP-Elegans M1: Feature Pyramid Reservoir Connectome Transformers and Multi-backbone Feature Extractors for MEDMNIST2D-V2

Francesco Bardozzo, Pierpaolo Fiore, Pietro Liò, Roberto Tagliaferri

Lecture Notes in Computer Science · 01 Jan 2025 · doi:10.1007/978-3-031-89704-7_9

Pipeline for RNA-seq data analysis on organoids derived from celiac patients

[no author info]

[no publisher info] · 17 Dec 2024 · handle:11386/4890766

An automated pipeline integrating AlphaFold 2 and MODELLER for protein structure prediction

[no author info]

[no publisher info] · 17 Dec 2024 · handle:11386/4890772

Label-Free Nervous System Single Cell Classification Using Pretrained VGG and ResNet Networks

Pierpaolo Fiore, Francesco Bardozzo, Roberto Tagliaferri

2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI) · 18 Sep 2024 · doi:10.1109/RTSI61910.2024.10761642

Label-Free Nervous System Single Cell Classification Using Pretrained VGG and ResNet Networks

Pierpaolo Fiore, Francesco Bardozzo, Roberto Tagliaferri

2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI) · 18 Sep 2024 · doi:10.1109/rtsi61910.2024.10761642

Consensus of algorithms for lesion segmentation in brain MRI studies of multiple sclerosis

Alessandro Pasquale De Rosa, Marco Benedetto, Stefano Tagliaferri, Francesco Bardozzo, Alessandro D’Ambrosio, Alvino Bisecco, Antonio Gallo, Mario Cirillo, Roberto Tagliaferri, Fabrizio Esposito

Scientific Reports · 12 Sep 2024 · doi:10.1038/s41598-024-72649-9

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, ..., Giovanni Smaldone, Marcello Gambacorta, Marco Salvatore, Pietro Ferraro, Roberto Tagliaferri

Computers in Biology and Medicine · 01 Sep 2024 · doi:10.1016/j.compbiomed.2024.108861

Topical use of tobramycin: A possible innovative treatment of severe skin chronic ulcers

Corrado Cirielli, Francesco Facchiano, Mauro Picardo, Marco Benedetto, Roberto Tagliaferri, Stefano Tagliaferri, Giuseppe Piccinni, Annarita Panebianco, Antonio Facchiano

Experimental Dermatology · 01 Jul 2024 · doi:10.1111/exd.15131

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 · 01 Jun 2024 · doi:10.1016/j.neucom.2024.127598

Label-free cell classification in holographic flow cytometry through an unbiased learning strategy

Gioele Ciaparrone, Daniele Pirone, Pierpaolo Fiore, Lu Xin, Wen Xiao, ..., Lisa Miccio, Feng Pan, Pasquale Memmolo, Roberto Tagliaferri, Pietro Ferraro

Lab on a Chip · 01 Jan 2024 · 10.1039/D3LC00385J

Artificial Intelligence for Label-free cells classification in holographic microscopy

Pierpaolo Fiore, Daniele Pirone, Francesco Bardozzo, Lu Xin, Wen Xiao, ..., Lisa Miccio, Feng Pan, Pasquale Memmolo, Pietro Ferraro, Roberto Tagliaferri

Optica Digital Holography and Three-Dimensional Imaging 2024 (DH) · 01 Jan 2024 · doi:10.1364/dh.2024.w4a.29

Label-free cell classification in holographic flow cytometry through an unbiased learning strategy

Gioele Ciaparrone, Daniele Pirone, Pierpaolo Fiore, Lu Xin, Wen Xiao, ..., Lisa Miccio, Feng Pan, Pasquale Memmolo, Roberto Tagliaferri, Pietro Ferraro

Lab on a Chip · 01 Jan 2024 · doi:10.1039/d3lc00385j

Neural networks for fatigue crack propagation predictions in real-time under uncertainty

V. Giannella, F. Bardozzo, A. Postiglione, R. Tagliaferri, R. Sepe, E. Armentani

Computers & Structures · 01 Nov 2023 · doi:10.1016/j.compstruc.2023.107157

Deep learning assisted Fourier ptychography for cells and tissue analysis

Vittorio Bianco, Marika Valentino, Jaromír Behal, Daniele Pirone, Francesco Bardozzo, Pasquale Memmolo, Lisa Miccio, Roberto Tagliaferri, Pietro Ferraro

Optical Methods for Inspection, Characterization, and Imaging of Biomaterials VI · 11 Aug 2023 · doi:10.1117/12.2674881

ElegansAI: how a biological neural network would compare with artificial networks?

Francesco Bardozzo, Andrea Terlizzi, Pietro Lio, Roberto Tagliaferri

Springer Science and Business Media LLC · 13 Jun 2023 · doi:10.21203/rs.3.rs-3005708/v2

ElegansAI: how a biological neural network would compare with artificial networks?

Francesco Bardozzo, Andrea Terlizzi, Pietro Lio, Roberto Tagliaferri

Springer Science and Business Media LLC · 06 Jun 2023 · doi:10.21203/rs.3.rs-3005708/v1

<i>ElegansNet</i>
: a brief scientific report and initial experiments

ElegansNet : a brief scientific report and initial experiments

Francesco Bardozzo, Andrea Terlizzi, Pietro Lió, Roberto Tagliaferri

openRxiv · 24 Apr 2023 · doi:10.1101/2023.04.23.537987

Machine Learning as a Support for the Diagnosis of Type 2 Diabetes

Antonio Agliata, Deborah Giordano, Francesco Bardozzo, Salvatore Bottiglieri, Angelo Facchiano, Roberto Tagliaferri

International Journal of Molecular Sciences · 05 Apr 2023 · doi:10.3390/ijms24076775

ElegansNet: a brief scientific report and initial experiments

Francesco Bardozzo, Andrea Terlizzi, Pietro Liò, Roberto Tagliaferri

arXiv · 01 Jan 2023 · doi:10.48550/ARXIV.2304.13538

An automated pipeline integrating AlphaFold 2 and MODELLER for protein structure prediction

Fabio Hernan Gil Zuluaga, Nancy D’Arminio, Francesco Bardozzo, Roberto Tagliaferri, Anna Marabotti

Computational and Structural Biotechnology Journal · 01 Jan 2023 · doi:10.1016/j.csbj.2023.10.056

Gated Local Adaptive Binarization using Supervised Learning

[no author info]

[no publisher info] · 23 Dec 2022 · handle:11386/4812114

We can make it better – improving the performances of AI-based predictors of protein structures

[no author info]

[no publisher info] · 23 Dec 2022 · handle:11386/4812200

A novel beach litter analysis system based on UAV images and Convolutional Neural Networks

Vincenzo M. Scarrica, Pietro P.C. Aucelli, Cosimo Cagnazzo, Angelo Casolaro, Pierpaolo Fiore, Marco La Salandra, Angela Rizzo, Giovanni Scardino, Giovanni Scicchitano, Antonino Staiano

Ecological Informatics · 01 Dec 2022 · doi:10.1016/j.ecoinf.2022.101875

Real-time FPM reconstruction and misalignment correction by numerical Multi-Look and GAN

[no author info]

[no publisher info] · 11 Nov 2022 · handle:11386/4807772

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

2022 International Joint Conference on Neural Networks (IJCNN) · 18 Jul 2022 · doi:10.1109/IJCNN55064.2022.9892345

Deep Learning-Based, Misalignment Resilient, Real-Time Fourier Ptychographic Microscopy Reconstruction of Biological Tissue Slides

Vittorio Bianco, Mattia Delli Priscoli, Daniele Pirone, Gennaro Zanfardino, Pasquale Memmolo, Francesco Bardozzo, Lisa Miccio, Gioele Ciaparrone, Pietro Ferraro, Roberto Tagliaferri

IEEE Journal of Selected Topics in Quantum Electronics · 01 Jul 2022 · doi:10.1109/JSTQE.2022.3154236

State dependent learning process in neural nets,APPRENDIMENTO STATO-DIPENDENTE IN RETI NEURALI

[no author info]

Rivista di Neurobiologia · 01 Jun 2022 · eid:2-s2.0-0027818433

Neural nets and star/galaxy separation in wide field astronomical images

[no author info]

Proceedings of the International Joint Conference on Neural Networks · 01 Jun 2022 · eid:2-s2.0-0033325009

Hybrid neural networks for frequency estimation of unevenly sampled data

[no author info]

Proceedings of the International Joint Conference on Neural Networks · 01 Jun 2022 · eid:2-s2.0-0033346101

Hierarchical Neural Network-based approach to VIRGO noise identification

[no author info]

Proceedings of the International Joint Conference on Neural Networks · 01 Jun 2022 · eid:2-s2.0-0033684678

Sulfur dioxide ground level concentrations forecasting by means of neural networks

[no author info]

Proceedings of the International Joint Conference on Neural Networks · 01 Jun 2022 · eid:2-s2.0-0034868978

Neural network-based approach to noise identification of laser interferometric GW antennas

[no author info]

Proceedings of the International Joint Conference on Neural Networks · 01 Jun 2022 · eid:2-s2.0-0034875077

Fuzzy relations neural network: Some preliminary results

[no author info]

IEEE International Conference on Fuzzy Systems · 01 Jun 2022 · eid:2-s2.0-0035746781

A supervised fuzzy clustering for radial basis function neural networks training

[no author info]

Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS · 01 Jun 2022 · eid:2-s2.0-0035792054

A neural network based identification system for VIRGO seismic noise

[no author info]

Proceedings of the International Joint Conference on Neural Networks · 01 Jun 2022 · eid:2-s2.0-0034856680

Preface

[no author info]

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · 01 Jun 2022 · eid:2-s2.0-84865757149

Fuzzy similarities in stars/galaxies classification

[no author info]

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics · 01 Jun 2022 · eid:2-s2.0-0036973771

Survival Analysis and Neural Networks

[no author info]

Proceedings of the International Joint Conference on Neural Networks · 01 Jun 2022 · eid:2-s2.0-0141815643

Preface

[no author info]

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · 01 Jun 2022 · eid:2-s2.0-84947277448

Amplitude and Permutation Indeterminacies in Frequency Domain Convolved ICA

[no author info]

Proceedings of the International Joint Conference on Neural Networks · 01 Jun 2022 · eid:2-s2.0-0141461503

A hierarchical Bayesian learning scheme for autoregressive neural networks

[no author info]

Proceedings of the International Joint Conference on Neural Networks · 01 Jun 2022 · eid:2-s2.0-0141460500

ICA for modelling and generating organ pipes self-sustained tones

[no author info]

IEEE International Conference on Neural Networks - Conference Proceedings · 01 Jun 2022 · eid:2-s2.0-10944247046

Committee of spherical probabilistic principal surfaces

[no author info]

IEEE International Conference on Neural Networks - Conference Proceedings · 01 Jun 2022 · eid:2-s2.0-10844252246

An information geometric approach to survival analysis and feature selection by neural networks

[no author info]

IEEE International Conference on Neural Networks - Conference Proceedings · 01 Jun 2022 · eid:2-s2.0-10944241570

Visualization, clustering and classification of multidimensional astronomical data

[no author info]

Proceedings - International Workshop on Computer Architecture for Machine Perception, CAMP · 01 Jun 2022 · eid:2-s2.0-28444485667

Linear regression model-guided clustering for training RBF networks for regression problems

[no author info]

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · 01 Jun 2022 · eid:2-s2.0-33744789229

Fuzzy relational neural network for data analysis

[no author info]

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · 01 Jun 2022 · eid:2-s2.0-33744825481

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface

[no author info]

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · 01 Jun 2022 · eid:2-s2.0-33745778895

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface

[no author info]

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · 01 Jun 2022 · eid:2-s2.0-70349319576

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface

[no author info]

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · 01 Jun 2022 · eid:2-s2.0-77955822775

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface

[no author info]

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · 01 Jun 2022 · eid:2-s2.0-84871577990

Distinctive gene expression profiles in Balb/3T3 cells exposed to low dose cobalt nanoparticles, microparticles and ions: Potential nanotoxicological relevance

[no author info]

Journal of Biological Regulators and Homeostatic Agents · 01 Jun 2022 · eid:2-s2.0-84883471757

Preface

[no author info]

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · 01 Jun 2022 · eid:2-s2.0-84905373023

Preface

[no author info]

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · 01 Jun 2022 · eid:2-s2.0-84949936067

Computational intelligence methods for bioinformatics and biostatistics: 11th international meeting, CIBB 2014 Cambridge, UK, june 26–28, 2014 revised selected papers

[no author info]

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · 01 Jun 2022 · eid:2-s2.0-84949957660

Preface

[no author info]

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · 01 Jun 2022 · eid:2-s2.0-85063031663

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 Analysis · 01 Apr 2022 · doi:10.1016/j.media.2022.102380

Investigating the Effects of Amino Acid Variations in Human Menin

Carmen Biancaniello, Antonia D’Argenio, Deborah Giordano, Serena Dotolo, Bernardina Scafuri, Anna Marabotti, Antonio d’Acierno, Roberto Tagliaferri, Angelo Facchiano

Molecules · 07 Mar 2022 · doi:10.3390/molecules27051747

Soft Brain Ageing Indicators Based on Light-Weight LeNet-Like Neural Networks and Localized 2D Brain Age Biomarkers

Francesco Bardozzo, Mattia Delli Priscoli, Andrea Gerardo Russo, Davide Crescenzi, Ugo Di Benedetto, Fabrizio Esposito, Roberto Tagliaferri

Lecture Notes in Computer Science · 01 Jan 2022 · doi:10.1007/978-3-031-20837-9_19

Raw holograms based machine learning for cancer cells classification in microfluidics

[no author info]

OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP) · 31 Dec 2021 · :

Blind microscopy image denoising with a deep residual and multiscale encoder/decoder network

Fabio Hernan Gil Zuluaga, Francesco Bardozzo, Jorge Ivan Rios Patino, Roberto Tagliaferri

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) · 01 Nov 2021 · doi:10.1109/EMBC46164.2021.9630502

Blind microscopy image denoising with a deep residual and multiscale encoder/decoder network

Fabio Hernan Gil Zuluaga, Francesco Bardozzo, Jorge Ivan Rios Patino, Roberto Tagliaferri

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) · 01 Nov 2021 · doi:10.1109/embc46164.2021.9630502

Neuroblastoma Cells Classification Through Learning Approaches by Direct Analysis of Digital Holograms

Mattia Delli Priscoli, Pasquale Memmolo, Gioele Ciaparrone, Vittorio Bianco, Francesco Merola, ..., Flora Cimmino, Mario Capasso, Achille Iolascon, Pietro Ferraro, Roberto Tagliaferri

IEEE Journal of Selected Topics in Quantum Electronics · 01 Sep 2021 · doi:10.1109/JSTQE.2021.3059532

Sugeno integral generalization applied to improve adaptive image binarization

Francesco Bardozzo, Borja De La Osa, Ľubomíra Horanská, Javier Fumanal-Idocin, Mattia delli Priscoli, Luigi Troiano, Roberto Tagliaferri, Javier Fernandez, Humberto Bustince

Information Fusion · 01 Apr 2021 · doi:10.1016/j.inffus.2020.10.020

Raw holograms based machine learning for cancer cells classification in microfluidics

Mattia Delli Priscoli, Pasquale Memmolo, Gioele Ciaparrone, Vittorio Bianco, Francesco Merola, ..., Flora Cimmino, Mario Capasso, Achile Iolascon, Pietro Ferraro, Roberto Tagliaferri

OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP) · 01 Jan 2021 · doi:10.1364/DH.2021.DTh1D.3

Signal metrics analysis of oscillatory patterns in bacterial multi-omic networks

Francesco Bardozzo, Pietro Lió, Roberto Tagliaferri

Bioinformatics · 16 Dec 2020 · doi:10.1093/bioinformatics/btaa966

A review on drug repurposing applicable to COVID-19

Serena Dotolo, Anna Marabotti, Angelo Facchiano, Roberto Tagliaferri

Briefings in Bioinformatics · 05 Nov 2020 · doi:10.1093/bib/bbaa288

A comparative analysis of multi-backbone Mask R-CNN for surgical tools detection

Gioele Ciaparrone, Francesco Bardozzo, Mattia Delli Priscoli, Juanita Londono Kallewaard, Maycol Ruiz Zuluaga, Roberto Tagliaferri

2020 International Joint Conference on Neural Networks (IJCNN) · 01 Jul 2020 · doi:10.1109/ijcnn48605.2020.9206854

Motor strength classification with machine learning approaches applied to anatomical neuroimages

Francesco Bardozzo, Sebastian Cano Uribe, Andrea G. Russo, Mateo Jimenez Castano, Mattia Delli Priscolli, Fabrizio Esposito, Roberto Tagliaferri

2020 International Joint Conference on Neural Networks (IJCNN) · 01 Jul 2020 · doi:10.1109/IJCNN48605.2020.9207471

A comparative analysis of multi-backbone Mask R-CNN for surgical tools detection

Gioele Ciaparrone, Francesco Bardozzo, Mattia Delli Priscoli, Juanita Londono Kallewaard, Maycol Ruiz Zuluaga, Roberto Tagliaferri

2020 International Joint Conference on Neural Networks (IJCNN) · 01 Jul 2020 · doi:10.1109/IJCNN48605.2020.9206854

Deep learning in video multi-object tracking: A survey

Gioele Ciaparrone, Francisco Luque Sánchez, Siham Tabik, Luigi Troiano, Roberto Tagliaferri, Francisco Herrera

Neurocomputing · 01 Mar 2020 · doi:10.1016/j.neucom.2019.11.023

Automatic Discrimination of Auditory Stimuli Perceived by the Human Brain

Angela Serra, Antonio della Pietra, Marcus Herdener, Roberto Tagliaferri, Fabrizio Esposito

Lecture Notes in Computer Science · 01 Jan 2020 · doi:10.1007/978-3-030-34585-3_18

Dimension Reduction Techniques in a Brain–Computer Interface Application

Federico Cozza, Paola Galdi, Angela Serra, Gabriele Pasqua, Luigi Pavone, Roberto Tagliaferri

Smart Innovation, Systems and Technologies · 19 Sep 2019 · doi:10.1007/978-981-13-8950-4_11

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

International Journal of Neural Systems · 06 Aug 2019 · doi:10.1142/S0129065719500072

INSIdE NANO: a systems biology framework to contextualize the mechanism-of-action of engineered nanomaterials

Angela Serra, Ivica Letunic, Vittorio Fortino, Richard D. Handy, Bengt Fadeel, Roberto Tagliaferri, Dario Greco

Scientific Reports · 17 Jan 2019 · doi:10.1038/s41598-018-37411-y

Stochastic Rank Aggregation for the Identification of Functional Neuromarkers

Paola Galdi, Michele Fratello, Francesca Trojsi, Antonio Russo, Gioacchino Tedeschi, Roberto Tagliaferri, Fabrizio Esposito

Neuroinformatics · 02 Jan 2019 · doi:10.1007/s12021-018-9412-y

Unsupervised Learning: Clustering

Angela Serra, Roberto Tagliaferri

Encyclopedia of Bioinformatics and Computational Biology · 01 Jan 2019 · doi:10.1016/B978-0-12-809633-8.20487-1

Multiview Learning in Biomedical Applications

Angela Serra, Paola Galdi, Roberto Tagliaferri

Artificial Intelligence in the Age of Neural Networks and Brain Computing · 01 Jan 2019 · doi:10.1016/B978-0-12-815480-9.00013-X

Decision Trees and Random Forests

Michele Fratello, Roberto Tagliaferri

Encyclopedia of Bioinformatics and Computational Biology · 01 Jan 2019 · doi:10.1016/B978-0-12-809633-8.20337-3

Data Mining: Accuracy and Error Measures for Classification and Prediction

Paola Galdi, Roberto Tagliaferri

Encyclopedia of Bioinformatics and Computational Biology · 01 Jan 2019 · doi:10.1016/B978-0-12-809633-8.20474-3

Hierarchical Block Matrix Approach for Multi-view Clustering

Angela Serra, Maria Domenica Guida, Pietro Lió, Roberto Tagliaferri

Lecture Notes in Computer Science · 01 Jan 2019 · doi:10.1007/978-3-030-14160-8_19

A Deep Learning Approach for Road Damage Classification

Gioele Ciaparrone, Angela Serra, Vito Covito, Paolo Finelli, Carlo Alberto Scarpato, Roberto Tagliaferri

Lecture Notes in Electrical Engineering · 29 Nov 2018 · doi:10.1007/978-981-13-1328-8_84

A study on multi-omic oscillations in Escherichia coli metabolic networks

Francesco Bardozzo, Pietro Lió, Roberto Tagliaferri

BMC Bioinformatics · 01 Jul 2018 · doi:10.1186/s12859-018-2175-5

Robust clustering of noisy high-dimensional gene expression data for patients subtyping

Pietro Coretto, Angela Serra, Roberto Tagliaferri

Bioinformatics · 22 Jun 2018 · doi:10.1093/bioinformatics/bty502

Machine learning for bioinformatics and neuroimaging

Angela Serra, Paola Galdi, Roberto Tagliaferri

WIREs Data Mining and Knowledge Discovery · 22 Feb 2018 · doi:10.1002/widm.1248

Robust and sparse correlation matrix estimation for the analysis of high-dimensional genomics data

Angela Serra, Pietro Coretto, Michele Fratello, Roberto Tagliaferri

Bioinformatics · 12 Oct 2017 · doi:10.1093/bioinformatics/btx642

<i>E</i>
2
<i>FM</i>: an encrypted and compressed full-text index for collections of genomic sequences

E 2 FM: an encrypted and compressed full-text index for collections of genomic sequences

Ferdinando Montecuollo, Giovannni Schmid, Roberto Tagliaferri

Bioinformatics · 11 May 2017 · doi:10.1093/bioinformatics/btx313

Consensus-based feature extraction in rs-fMRI data analysis

Paola Galdi, Michele Fratello, Francesca Trojsi, Antonio Russo, Gioacchino Tedeschi, Roberto Tagliaferri, Fabrizio Esposito

Soft Computing · 11 Apr 2017 · doi:10.1007/s00500-017-2596-5

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 · 16 Feb 2017 · doi:10.1007/s12021-017-9324-2

Rotation Clustering: A Consensus Clustering Approach to Cluster Gene Expression Data

Paola Galdi, Angela Serra, Roberto Tagliaferri

Lecture Notes in Computer Science · 01 Jan 2017 · doi:10.1007/978-3-319-52962-2_20

Effectiveness of projection techniques in genomic data analysis

Paola Galdi, Angela Serra, Dario Greco, Roberto Tagliaferri

2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI) · 01 Sep 2016 · doi:10.1109/RTSI.2016.7740567

Data integration in genomics and systems biology

Angela Serra, Michele Fratello, Dario Greco, Roberto Tagliaferri

2016 IEEE Congress on Evolutionary Computation (CEC) · 01 Jul 2016 · doi:10.1109/CEC.2016.7743934

CONDOP: an R package for CONdition-Dependent Operon Predictions

Vittorio Fortino, Roberto Tagliaferri, Dario Greco

Bioinformatics · 13 Jun 2016 · doi:10.1093/bioinformatics/btw330

MVDA: a multi-view genomic data integration methodology

Angela Serra, Michele Fratello, Vittorio Fortino, Giancarlo Raiconi, Roberto Tagliaferri, Dario Greco

BMC Bioinformatics · 19 Aug 2015 · doi:10.1186/s12859-015-0680-3

Multi omic oscillations in bacterial pathways

Francesco Bardozzo, Pietro Lio, Roberto Tagliaferri

2015 International Joint Conference on Neural Networks (IJCNN) · 01 Jul 2015 · doi:10.1109/IJCNN.2015.7280853

Impact of different metrics on multi-view clustering

Angela Serra, Dario Greco, Roberto Tagliaferri

2015 International Joint Conference on Neural Networks (IJCNN) · 01 Jul 2015 · doi:10.1109/IJCNN.2015.7280445

A multi-view genomic data simulator

Michele Fratello, Angela Serra, Vittorio Fortino, Giancarlo Raiconi, Roberto Tagliaferri, Dario Greco

BMC Bioinformatics · 12 May 2015 · doi:10.1186/s12859-015-0577-1

Consensus Clustering in Gene Expression

Paola Galdi, Francesco Napolitano, Roberto Tagliaferri

Lecture Notes in Computer Science · 01 Jan 2015 · doi:10.1007/978-3-319-24462-4_5

Transcriptome dynamics-based operon prediction in prokaryotes

Vittorio Fortino, Olli-Pekka Smolander, Petri Auvinen, Roberto Tagliaferri, Dario Greco

BMC Bioinformatics · 16 May 2014 · doi:10.1186/1471-2105-15-145

An Adaptive Reference Point Approach to Efficiently Search Large Chemical Databases

Francesco Napolitano, Roberto Tagliaferri, Pierre Baldi

Smart Innovation, Systems and Technologies · 01 Jan 2014 · doi:10.1007/978-3-319-04129-2_7

Integrative genetic, epigenetic and pathological analysis of paraganglioma reveals complex dysregulation of NOTCH signaling

Alessandro Cama, Fabio Verginelli, Lavinia Vittoria Lotti, Francesco Napolitano, Annalisa Morgano, ..., Antonio Moschetta, Roberto Tagliaferri, Angelo Veronese, Mario Sanna, Renato Mariani-Costantini

Acta Neuropathologica · 18 Aug 2013 · doi:10.1007/s00401-013-1165-y

Drug repositioning: a machine-learning approach through data integration

Francesco Napolitano, Yan Zhao, Vânia M Moreira, Roberto Tagliaferri, Juha Kere, Mauro D’Amato, Dario Greco

Journal of Cheminformatics · 22 Jun 2013 · doi:10.1186/1758-2946-5-30

Bioinformatic pipelines in Python with Leaf

Francesco Napolitano, Renato Mariani-Costantini, Roberto Tagliaferri

BMC Bioinformatics · 21 Jun 2013 · doi:10.1186/1471-2105-14-201

An improved combinatorial biclustering algorithm

Ekaterina Nosova, Francesco Napolitano, Roberto Amato, Sergio Cocozza, Gennaro Miele, Giancarlo Raiconi, Roberto Tagliaferri

Neural Computing and Applications · 10 Mar 2012 · doi:10.1007/s00521-012-0902-9

Supporting the Design, Communication and Management of Bioinformatic Protocols through the Leaf Tool

Francesco Napolitano, Roberto Tagliaferri

Lecture Notes in Computer Science · 01 Jan 2012 · doi:10.1007/978-3-642-35686-5_19

Beyond classical consensus clustering: The least squares approach to multiple solutions

L. Murino, C. Angelini, I. De Feis, G. Raiconi, R. Tagliaferri

Pattern Recognition Letters · 01 Sep 2011 · doi:10.1016/j.patrec.2011.05.003

Artificial neural network analysis of circulating tumor cells in metastatic breast cancer patients

Antonio Giordano, Mario Giuliano, Michelino De Laurentiis, Antonio Eleuteri, Francesco Iorio, ..., Lajos Pusztai, Sabino De Placido, Kenneth Hess, Massimo Cristofanilli, James M. Reuben

Breast Cancer Research and Treatment · 28 Jun 2011 · doi:10.1007/s10549-011-1645-5

A multi-Biclustering Combinatorial Based algorithm

Ekaterina Nosova, Giancarlo Raiconi, Roberto Tagliaferri

2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) · 01 Apr 2011 · doi:10.1109/CIDM.2011.5949454

Biclustering by Resampling

Ekaterina Nosova, Roberto Tagliaferri, Francesco Masulli, Stefano Rovetta

Lecture Notes in Computer Science · 01 Jan 2011 · doi:10.1007/978-3-642-21946-7_12

A Combinatoric biclustering algorithm

Nosova Ekaterina, Raiconi Giancarlo, Tagliaferri Roberto

Frontiers in Artificial Intelligence and Applications · 01 Jan 2011 · doi:10.3233/978-1-60750-692-8-44

Discovery of drug mode of action and drug repositioning from transcriptional responses

Francesco Iorio, Roberta Bosotti, Emanuela Scacheri, Vincenzo Belcastro, Pratibha Mithbaokar, ..., Loredana Murino, Roberto Tagliaferri, Nicola Brunetti-Pierri, Antonella Isacchi, Diego di Bernardo

Proceedings of the National Academy of Sciences · 02 Aug 2010 · doi:10.1073/pnas.1000138107

Gene ontology fuzzy-enrichment analysis to investigate drug mode-of-action

Francesco Iorio, Loredana Murino, Diego di Bernardo, Giancarlo Raiconi, Roberto Tagliaferri

The 2010 International Joint Conference on Neural Networks (IJCNN) · 01 Jul 2010 · doi:10.1109/IJCNN.2010.5596585

A scalable reference-point based algorithm to efficiently search large chemical databases

Francesco Napolitano, Roberto Tagliaferri, Pierre Baldi

The 2010 International Joint Conference on Neural Networks (IJCNN) · 01 Jul 2010 · doi:10.1109/IJCNN.2010.5596608

Advances in Computational Intelligence and Bioinformatics

Francesco Masulli, Roberto Tagliaferri

Soft Computing · 20 Mar 2010 · doi:10.1007/s00500-010-0595-x

Data Mining in Cancer Research [Application Notes

Paulo Lisboa, Alfredo Vellido, Roberto Tagliaferri, Francesco Napolitano, Michele Ceccarelli, Jose Martin-Guerrero, Elia Biganzoli

IEEE Computational Intelligence Magazine · 01 Feb 2010 · doi:10.1109/MCI.2009.935311

Multiple Clustering Solutions Analysis through Least-Squares Consensus Algorithms

Loredana Murino, Claudia Angelini, Ida Bifulco, Italia De Feis, Giancarlo Raiconi, Roberto Tagliaferri

Lecture Notes in Computer Science · 01 Jan 2010 · doi:10.1007/978-3-642-14571-1_16

Transitions at CpG Dinucleotides, Geographic Clustering of TP53 Mutations and Food Availability Patterns in Colorectal Cancer

Fabio Verginelli, Faraz Bishehsari, Francesco Napolitano, Mahboobeh Mahdavinia, Alessandro Cama, Reza Malekzadeh, Gennaro Miele, Giancarlo Raiconi, Roberto Tagliaferri, Renato Mariani-Costantini

PLoS ONE · 31 Aug 2009 · doi:10.1371/journal.pone.0006824

Global optimization, Meta Clustering and consensus clustering for class prediction

Ida Bifulco, Carmine Fedullo, Francesco Napolitano, Giancarlo Raiconi, Roberto Tagliaferri

2009 International Joint Conference on Neural Networks · 01 Jun 2009 · doi:10.1109/IJCNN.2009.5178789

Identifying Network of Drug Mode of Action by Gene Expression Profiling

Francesco Iorio, Roberto Tagliaferri, Diego di Bernardo

Journal of Computational Biology · 01 Feb 2009 · doi:10.1089/cmb.2008.10TT

Computational intelligence and machine learning in bioinformatics

Giorgio Valentini, Roberto Tagliaferri, Francesco Masulli

Artificial Intelligence in Medicine · 01 Feb 2009 · doi:10.1016/j.artmed.2008.08.014

Metaclustering and Consensus Algorithms for Interactive Data Analysis and Validation

Ida Bifulco, Carmine Fedullo, Francesco Napolitano, Giancarlo Raiconi, Roberto Tagliaferri

Lecture Notes in Computer Science · 01 Jan 2009 · doi:10.1007/978-3-642-02282-1_21

Interactive Visualization Tools for Meta-Clustering

Bifulco Ida, Iorio Francesco, Napolitano Francesco, Raiconi Giancarlo, Tagliaferri Roberto

Frontiers in Artificial Intelligence and Applications · 01 Jan 2009 · doi:10.3233/978-1-58603-984-4-223

Building Maps of Drugs Mode-of-Action from Gene Expression Data

Francesco Iorio, Roberto Tagliaferri, Diego di Bernardo

Lecture Notes in Computer Science · 01 Jan 2009 · doi:10.1007/978-3-642-02504-4_5

Interactive data analysis and clustering of genomic data

A. Ciaramella, S. Cocozza, F. Iorio, G. Miele, F. Napolitano, M. Pinelli, G. Raiconi, R. Tagliaferri

Neural Networks · 01 Mar 2008 · doi:10.1016/j.neunet.2007.12.026

Preface

Vito Di Gesù, Roberto Tagliaferri

International Journal of Approximate Reasoning · 01 Jan 2008 · doi:10.1016/j.ijar.2007.04.002

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, ..., Angelo Paradiso, Nicola A. Colabufo, Francesco Berardi, Roberto Perrone, Roberto Tagliaferri

Lecture Notes in Computer Science · 01 Jan 2008 · doi:10.1007/978-3-540-85984-0_130

Clustering and visualization approaches for human cell cycle gene expression data analysis

F. Napolitano, G. Raiconi, R. Tagliaferri, A. Ciaramella, A. Staiano, G. Miele

International Journal of Approximate Reasoning · 01 Jan 2008 · doi:10.1016/j.ijar.2007.03.013

Clustering, Assessment and Validation: an application to gene expression data

A. Ciaramella, S. Cocozza, F. Iorio, G. Miele, F. Napolitano, M. Pinelli, G. Raiconi, R. Tagliaferri

2007 International Joint Conference on Neural Networks · 01 Aug 2007 · doi:10.1109/IJCNN.2007.4371199

Mining the SDSS Archive. I. Photometric Redshifts in the Nearby Universe

Raffaele D’Abrusco, Antonino Staiano, Giuseppe Longo, Massimo Brescia, Maurizio Paolillo, Elisabetta De Filippis, Roberto Tagliaferri

The Astrophysical Journal · 10 Jul 2007 · doi:10.1086/518020

Information Geometry for Survival Analysis and Feature Selection by Neural Networks

Antonio Eleuteri, Roberto Tagliaferri, Leopoldo Milano, Michele de Laurentiis

Outcome Prediction in Cancer · 01 Jan 2007 · doi:10.1016/B978-044452855-1/50009-X

Neural Network Techniques for Proactive Password Checking

Angelo Ciaramella, Paolo D'Arco, Alfredo De Santis, Clemente Galdi, Roberto Tagliaferri

IEEE Transactions on Dependable and Secure Computing · 01 Oct 2006 · doi:10.1109/TDSC.2006.53

Improving RBF networks performance in regression tasks by means of a supervised fuzzy clustering

Antonino Staiano, Roberto Tagliaferri, Witold Pedrycz

Neurocomputing · 01 Aug 2006 · doi:10.1016/j.neucom.2005.06.014

Fuzzy relational neural network

A. Ciaramella, R. Tagliaferri, W. Pedrycz, A. Di Nola

International Journal of Approximate Reasoning · 01 Feb 2006 · doi:10.1016/j.ijar.2005.06.016

A multi-step approach to time series analysis and gene expression clustering

R. Amato, A. Ciaramella, N. Deniskina, C. Del Mondo, D. di Bernardo, ..., G. Mangano, G. Miele, G. Raiconi, A. Staiano, R. Tagliaferri

Bioinformatics · 05 Jan 2006 · doi:10.1093/bioinformatics/btk026

OR/AND Neurons for Fuzzy Set Connectives Using Ordinal Sums and Genetic Algorithms

Angelo Ciaramella, Witold Pedrycz, Roberto Tagliaferri

Lecture Notes in Computer Science · 01 Jan 2006 · doi:10.1007/11676935_23

NEC: A Hierarchical Agglomerative Clustering Based on Fisher and Negentropy Information

Angelo Ciaramella, Giuseppe Longo, Antonino Staiano, Roberto Tagliaferri

Lecture Notes in Computer Science · 01 Jan 2006 · doi:10.1007/11731177_8

NEC for Gene Expression Analysis

R. Amato, A. Ciaramella, N. Deniskina, C. Del Mondo, D. di Bernardo, ..., G. Mangano, G. Miele, G. Raiconi, A. Staiano, R. Tagliaferri

Lecture Notes in Computer Science · 01 Jan 2006 · doi:10.1007/11676935_30

Novel Techniques for Microarray Data Analysis: Probabilistic Principal Surfaces and Competitive Evolution on Data

Roberto Amato, Angelo Ciaramella, Carmine Del Mondo, Lara De Vinco, Ciro Donalek, Giuseppe Longo, Gennaro Miele, Giancarlo Raiconi, Antonino Staiano, Roberto Tagliaferri

Journal of Computational and Theoretical Nanoscience · 01 Dec 2005 · doi:10.1166/jctn.2005.006

A novel information geometric approach to variable selection in MLP networks

A. Eleuteri, R. Tagliaferri, L. Milano

Neural Networks · 01 Dec 2005 · doi:10.1016/j.neunet.2005.01.008

Complexity of time series associated to dynamical systems inferred from independent component analysis

E. De Lauro, S. De Martino, M. Falanga, A. Ciaramella, R. Tagliaferri

Physical Review E · 24 Oct 2005 · doi:10.1103/PhysRevE.72.046712

A hierarchical Bayesian framework for nonlinearities identification in gravitational wave detector outputs

F Acernese, F Barone, R De Rosa, A Eleuteri, L Milano, R Tagliaferri

Classical and Quantum Gravity · 06 Sep 2005 · doi:10.1088/0264-9381/22/18/S36

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 Computing · 19 Jul 2005 · doi:10.1007/s00500-005-0515-7

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

Computers & Geosciences · 01 Jun 2005 · doi:10.1016/j.cageo.2004.11.016

The genetic development of ordinal sums

A. Ciaramella, R. Tagliaferri, W. Pedrycz

Fuzzy Sets and Systems · 01 Apr 2005 · doi:10.1016/j.fss.2004.07.003

Neural Network Analysis for Evaluating Cancer Risk in Thyroid Nodules with an Indeterminate Diagnosis at Aspiration Cytology: Identification of a Low-Risk Subgroup

Antonio M. Ippolito, Michelino De Laurentiis, Giacomo L. La Rosa, Antonio Eleuteri, Roberto Tagliaferri, Sabino De Placido, Riccardo Vigneri, Antonino Belfiore

Thyroid · 01 Dec 2004 · doi:10.1089/thy.2004.14.1065

Characterization of Strombolian events by using independent component analysis

A. Ciaramella, E. De Lauro, S. De Martino, B. Di Lieto, M. Falanga, R. Tagliaferri

Nonlinear Processes in Geophysics · 21 Oct 2004 · doi:10.5194/npg-11-453-2004

Polarisation analysis of the independent components of low frequency events at Stromboli volcano (Eolian Islands, Italy)

F. Acernese, A. Ciaramella, S. De Martino, M. Falanga, C. Godano, R. Tagliaferri

Journal of Volcanology and Geothermal Research · 01 Sep 2004 · doi:10.1016/j.jvolgeores.2004.05.005

A multifrequency analysis of radio variability of blazars

A. Ciaramella, C. Bongardo, H. D. Aller, M. F. Aller, G. De Zotti, ..., L. Milano, R. Tagliaferri, H. Teräsranta, M. Tornikoski, S. Urpo

Astronomy & Astrophysics · 01 May 2004 · doi:10.1051/0004-6361:20035771

Inference systems by using ordinal sums and genetic algorithms

A. Ciaramella, R. Tagliaferri, W. Pedrycz

IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04. · 01 Jan 2004 · doi:10.1109/nafips.2004.1337374

A novel neural network-based survival analysis model

Antonio Eleuteri, Roberto Tagliaferri, Leopoldo Milano, Sabino De Placido, Michele De Laurentiis

Neural Networks · 01 Jun 2003 · doi:10.1016/S0893-6080(03)00098-4

Neural neZtworks in astronomy

Roberto Tagliaferri, Giuseppe Longo, Leopoldo Milano, Fausto Acernese, Fabrizio Barone, ..., Antonio Eleuteri, Giancarlo Raiconi, Salvatore Sessa, Antonino Staiano, Alfredo Volpicelli

Neural Networks · 01 Apr 2003 · doi:10.1016/S0893-6080(03)00028-5

Introduction: Neural networks for analysis of complex scientific data: astronomy and geosciences

R. Tagliaferri, Giuseppe Longo, Bruno D'Argenio, Alberto Incoronato

Neural Networks · 01 Apr 2003 · doi:10.1016/S0893-6080(03)00012-1

Soft Computing Techniques for Classification of Bronze Age Axes

Lara Giordano, Claude Albore Livadie, Giovanni Paternoster, Raffaele Rinzivillo, Roberto Tagliaferri

Lecture Notes in Computer Science · 01 Jan 2003 · doi:10.1007/978-3-540-45216-4_21

Neural Networks for Photometric Redshifts Evaluation

Roberto Tagliaferri, Giuseppe Longo, Stefano Andreon, Salvatore Capozziello, Ciro Donalek, Gerardo Giordano

Lecture Notes in Computer Science · 01 Jan 2003 · doi:10.1007/978-3-540-45216-4_26

Neural networks for blind-source separation of Stromboli explosion quakes

F. Acernese, A. Ciaramella, S. De Martino, R. De Rosa, M. Falanga, R. Tagliaferri

IEEE Transactions on Neural Networks · 01 Jan 2003 · doi:10.1109/TNN.2002.806649

Divergence Projections for Variable Selection in Multi–layer Perceptron Networks

Antonio Eleuteri, Roberto Tagliaferri, Leopoldo Milano

Lecture Notes in Computer Science · 01 Jan 2003 · doi:10.1007/978-3-540-45216-4_32

Data mining of large astronomical databases with neural tools

Giuseppe Longo, Ciro Donalek, Giancarlo Raiconi, A. Staiano, Roberto Tagliaferri, Salvatore Sessa, Fabio Pasian, Riccardo Smareglia, Alfredo Volpicelli

SPIE Proceedings · 01 Dec 2002 · doi:10.1117/12.461147

Bayesian Model Selection for Spatial Clustering in 3D Surveys

Fionn D. Murtagh, C. Donalek, Giuseppe Longo, Roberto Tagliaferri

SPIE Proceedings · 01 Dec 2002 · doi:10.1117/12.461126

A neural network-based approach to noise identification of interferometric GW antennas: the case of the 40 m Caltech laser interferometer

F Acernese, F Barone, M de Rosa, R De Rosa, A Eleuteri, L Milano, R Tagliaferri

Classical and Quantum Gravity · 31 May 2002 · doi:10.1088/0264-9381/19/12/312

Wide field imaging - I. Applications of neural networks to object detection and star/galaxy classification

S. Andreon, G. Gargiulo, G. Longo, R. Tagliaferri, N. Capuano

Monthly Notices of the Royal Astronomical Society · 04 Apr 2002 · doi:10.1046/j.1365-8711.2000.03700.x

Real-time procedure for noise uncoupling in laser interferometry

F. Barone, R. De Rosa, A. Eleuteri, L. Milano, K. Qipiani, R. Tagliaferri

IEEE Transactions on Nuclear Science · 01 Apr 2002 · doi:10.1109/TNS.2002.1003763

Bayesian Learning Techniques: Application to Neural Networks with Constraints on Weight Space

A. Eleuteri, R. Tagliaferri, L. Milano, F. Acernese, M. De Laurentiis

Lecture Notes in Computer Science · 01 Jan 2002 · doi:10.1007/3-540-45808-5_22

<title>Extraction of catalogs from astronomical images</title>

Roberto Tagliaferri, Giuseppe Longo, Gerardo Iovane

SPIE Proceedings · 01 Nov 2001 · doi:10.1117/12.447190

<title>Advanced data mining tools for exploring large astronomical databases</title>

Giuseppe Longo, Roberto Tagliaferri, Salvatore Sessa, Patricio F. Ortiz, Massimo Capaccioli, A. Ciaramella, Ciro Donalek, Giancarlo Raiconi, A. Staiano, Alfredo Volpicelli

SPIE Proceedings · 01 Nov 2001 · doi:10.1117/12.447191

Soft computing methodologies for spectral analysis in cyclostratigraphy

R Tagliaferri, N Pelosi, A Ciaramella, G Longo, M Milano, F Barone

Computers & Geosciences · 01 Jun 2001 · doi:10.1016/S0098-3004(00)00166-7

Neural Networks for Sulphur Dioxide Ground Level Concentrations Forecasting

M. Andretta, A. Eleuteri, F. Fortezza, D. Manco, L. Mingozzi, R. Serra, R. Tagliaferri

Neural Computing & Applications · 07 Jul 2000 · doi:10.1007/s005210070020

Merging fuzzy logic, neural networks, and genetic computation in the design of a decision-support system

V. Loia, S. Sessa, A. Staiano, R. Tagliaferri

International Journal of Intelligent Systems · 01 Jul 2000 · doi:10.1002/(SICI)1098-111X(200007)15:7<575::AID-INT1>3.0.CO;2-A

An evolutionary hybrid approach to the design of a decision support system

V. Loia, A. Staiano, R. Tagliaferri, S. Sessa

Proceedings of the 2000 ACM symposium on Applied computing - Volume 1 · 19 Mar 2000 · doi:10.1145/335603.335943

SPEAKER NORMALIZATION IMPROVEMENT BY NEURAL NETWORK PARAMETER OPTIMIZATION

MICHELE AUTIERO, DIEGO GIULIANI, SALVATORE RAMPONE, ROBERTO TAGLIAFERRI

International Journal of Modern Physics C · 01 Sep 1999 · doi:10.1142/S0129183199000917

Spectral analysis of stellar light curves by means of neural networks

R. Tagliaferri, A. Ciaramella, L. Milano, F. Barone, G. Longo

Astronomy and Astrophysics Supplement Series · 01 Jun 1999 · doi:10.1051/aas:1999254

Automated labeling for unsupervised neural networks: a hierarchical approach

R. Tagliaferri, N. Capuano, G. Gargiulo

IEEE Transactions on Neural Networks · 01 Jan 1999 · doi:10.1109/72.737509

Field Full Scale Tests on Longitudinal Pipeline-Soil Interaction

Andrea Cappelletto, Roberto Tagliaferri, Gianmario Giurlani, Giuseppe Andrei, Giuseppe Furlani, Giuseppe Scarpelli

Volume 2: Design and Construction; Pipeline Automation and Measurement; Environmental Issues; Rotating Equipment Technology · 07 Jun 1998 · doi:10.1115/ipc1998-2090

Fuzzy neural networks for classification and detection of anomalies

M. Meneganti, F.S. Saviello, R. Tagliaferri

IEEE Transactions on Neural Networks · 01 Jan 1998 · doi:10.1109/72.712157

Preface

[no author info]

The Capture of Constantinople · 31 Dec 1997 · doi:10.9783/9780812201130.ix

Response to the letter by Li and Cao

Maria Marinaro, Salvatore Rampone, Roberto Tagliaferri

Neural Networks · 01 Dec 1997 · doi:10.1016/S0893-6080(97)00093-2

Outline of a linear neural network

Eduardo R. Caianiello, Maria Marinaro, Salvatore Rampone, Roberto Tagliaferri

Neurocomputing · 01 Jul 1996 · doi:10.1016/0925-2312(95)00123-9

Neural net aided detection of astronomical periodicities in geologic records

M. Brescia, B. D'Argenio, V. Ferreri, G. Longo, N. Pelosi, S. Rampone, R. Tagliaferri

Earth and Planetary Science Letters · 01 Mar 1996 · doi:10.1016/0012-821x(96)84608-5

A neural network for error correcting decoding of binary linear codes

Anna Esposito, Salvatore Rampone, Roberto Tagliaferri

Neural Networks · 01 Jan 1994 · doi:10.1016/0893-6080(94)90068-X

Neural associative memories with minimum connectivity

Eduardo R. Caianiello, Antonella De Benedictis, Alfredo Petrosino, Roberto Tagliaferri

Neural Networks · 01 Jan 1992 · doi:10.1016/0893-6080(92)90005-4

Classes of efficiently computable linear neural nets

P. Occhinegro, R. Tagliaferri

Neural Networks · 01 Jan 1990 · doi:10.1016/0893-6080(90)90077-X

A mathematical model for speech processing

A. Esposito, S. Rampone, C. Stanzione, R. Tagliaferri

Neural Networks for Signal Processing II Proceedings of the 1992 IEEE Workshop · [no date info] · doi:10.1109/NNSP.1992.253693

Neural networks for periodicity analysis of unevenly spaced data

M. Rasile, R. Tagliaferri, L. Milano, G. Longo

Proceedings of International Conference on Neural Networks (ICNN'97) · [no date info] · doi:10.1109/ICNN.1997.614392

Probabilistic Principal Surfaces for Yeast Gene Microarray Data Mining

A. Staiano, L. De Vinco, A. Ciaramella, G. Raiconi, R. Tagliaferri, R. Amato, G. Longo, C. Donalek, G. Miele, D. Di Bernardo

Fourth IEEE International Conference on Data Mining (ICDM'04) · [no date info] · doi:10.1109/ICDM.2004.10088

Ordinal sums by using genetic algorithms

A. Ciaramella, R. Tagliaferri, W. Pedrycz

2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542) · [no date info] · doi:10.1109/FUZZY.2004.1375472

A hierarchical Bayesian learning scheme for autoregressive neural networks: application to the CATS benchmark

F. Acernese, A. Eleuteri, L. Milano, R. Tagliaferri

2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541) · [no date info] · doi:10.1109/IJCNN.2004.1380194

Data visualization methodologies for data mining systems in bioinformatics

A. Staiano, A. Ciaramella, G. Raiconi, R. Tagliaferri, R. Amato, G. Longo, G. Miele, C. Donalek

Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. · [no date info] · doi:10.1109/IJCNN.2005.1555820

BSS Toolbox for delayed and convolved mixtures

A. Ciaramella, R. Tagliaferri, F. Iorio

Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. · [no date info] · doi:10.1109/IJCNN.2005.1556032

The Genetic Development of Uninorm-Based Neurons

Angelo Ciaramella, Witold Pedrycz, Roberto Tagliaferri

Lecture Notes in Computer Science · [no date info] · doi:10.1007/978-3-540-73400-0_9

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

Lecture Notes in Computer Science · [no date info] · doi:10.1007/978-3-540-73400-0_70

An Interactive Tool for Data Visualization and Clustering

F. Iorio, G. Miele, F. Napolitano, G. Raiconi, R. Tagliaferri

Lecture Notes in Computer Science · [no date info] · doi:10.1007/978-3-540-74829-8_106

Advanced Data Mining and Visualization Techniques with Probabilistic Principal Surfaces

Antonino Staiano, Lara De Vinco, Giuseppe Longo, Roberto Tagliaferri

Mathematical Methods for Knowledge Discovery and Data Mining · [no date info] · doi:10.4018/978-1-59904-528-3.ch015

Using Global Optimization to Explore Multiple Solutions of Clustering Problems

Ida Bifulco, Loredana Murino, Francesco Napolitano, Giancarlo Raiconi, Roberto Tagliaferri

Lecture Notes in Computer Science · [no date info] · doi:10.1007/978-3-540-85567-5_90

Robust Clustering by Aggregation and Intersection Methods

Ida Bifulco, Carmine Fedullo, Francesco Napolitano, Giancarlo Raiconi, Roberto Tagliaferri

Lecture Notes in Computer Science · [no date info] · doi:10.1007/978-3-540-85567-5_91

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