Mario Rosario Guarracino

According to our database, Mario Rosario Guarracino authored at least 79 papers between 1994 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

The Impact of Alternative Data on Default Probability: Analyzing the Italian E-commerce Sector with NLP and Network Structures.

Brian Daniel Bernhardt, Chiara Marciano, Mario Rosario Guarracino

Oper. Res. Forum, June, 2025

A clusterability test for directed graphs.

Mario R. Guarracino, Pierre Miasnikof, Alexander Y. Shestopaloff, Houyem Demni, Cristián Bravo, Yuri A. Lawryshyn

CoRR, June, 2025

A novel method for solving universum twin bounded support vector machine in the primal space.

Hossein Moosaei, Saeed Khosravi, Fatemeh Bazikar, Milan Hladík, Mario Rosario Guarracino

Ann. Math. Artif. Intell., February, 2025

2024

Editorial.

Panos M. Pardalos, Valeriy A. Kalyagin, Mario R. Guarracino

Comput. Manag. Sci., June, 2024

HELP: A computational framework for labelling and predicting human common and context-specific essential genes.

Ilaria Granata, Lucia Maddalena, Mario Manzo, Mario Rosario Guarracino, Maurizio Giordano

PLoS Comput. Biol., 2024

Representing ensembles of networks for fuzzy cluster analysis: a case study.

Ilaria Bombelli, Ichcha Manipur, Mario Rosario Guarracino, Maria Brigida Ferraro

Data Min. Knowl. Discov., 2024

2023

Adversarial attacks on graph-level embedding methods: a case study.

Maurizio Giordano, Lucia Maddalena, Mario Manzo, Mario Rosario Guarracino

Ann. Math. Artif. Intell., June, 2023

Integrating Different Data Modalities for the Classification of Alzheimer's Disease Stages.

Lucia Maddalena, Ilaria Granata, Maurizio Giordano, Mario Manzo, Mario Rosario Guarracino

SN Comput. Sci., May, 2023

Special Issue on Supervised and Unsupervised Classification Algorithms - Foreword from Guest Editors.

Laura Antonelli, Mario Rosario Guarracino

Algorithms, March, 2023

2022

Netpro2vec: A Graph Embedding Framework for Biomedical Applications.

Ichcha Manipur, Mario Manzo, Ilaria Granata, Maurizio Giordano, Lucia Maddalena, Mario R. Guarracino

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Artificial Intelligence for Cell Segmentation, Event Detection, and Tracking for Label-free Microscopy Imaging.

Lucia Maddalena, Laura Antonelli, Alexandra Albu, Aroj Hada, Mario Rosario Guarracino

Algorithms, 2022

Separating Two Polyhedra Utilizing Alternative Theorems and Penalty Function.

Saeed Ketabchi, Hossein Moosaei, Mario R. Guarracino, Milan Hladík

Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022

Classifying Alzheimer's Disease using MRIs and Transcriptomic Data.

Lucia Maddalena, Ilaria Granata, Maurizio Giordano, Mario Manzo, Mario Rosario Guarracino, Alzheimer's Disease Neuroimaging Initiative

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

2021

Performance Evaluation of Adversarial Attacks on Whole-Graph Embedding Models.

Mario Manzo, Maurizio Giordano, Lucia Maddalena, Mario R. Guarracino

Proceedings of the Learning and Intelligent Optimization - 15th International Conference, 2021

2020

Correction to: Clustering analysis of tumor metabolic networks.

Ichcha Manipur, Ilaria Granata, Lucia Maddalena, Mario R. Guarracino

BMC Bioinform., 2020

Clustering analysis of tumor metabolic networks.

Ichcha Manipur, Ilaria Granata, Lucia Maddalena, Mario R. Guarracino

BMC Bioinform., 2020

Model simplification for supervised classification of metabolic networks.

Ilaria Granata, Mario R. Guarracino, Valeriy A. Kalyagin, Lucia Maddalena, Ichcha Manipur, Panos M. Pardalos

Ann. Math. Artif. Intell., 2020

A Framework Based on Metabolic Networks and Biomedical Images Data to Discriminate Glioma Grades.

Lucia Maddalena, Ilaria Granata, Ichcha Manipur, Mario Manzo, Mario R. Guarracino

Proceedings of the Biomedical Engineering Systems and Technologies, 2020

Glioma Grade Classification via Omics Imaging.

Lucia Maddalena, Ilaria Granata, Ichcha Manipur, Mario Manzo, Mario R. Guarracino

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

2019

SDI+: A Novel Algorithm for Segmenting Dermoscopic Images.

Mario Rosario Guarracino, Lucia Maddalena

IEEE J. Biomed. Health Informatics, 2019

Integrating imaging and omics data: A review.

Laura Antonelli, Mario Rosario Guarracino, Lucia Maddalena, Mara Sangiovanni

Biomed. Signal Process. Control., 2019

From trash to treasure: detecting unexpected contamination in unmapped NGS data.

Mara Sangiovanni, Ilaria Granata, Amarinder Singh Thind, Mario Rosario Guarracino

BMC Bioinform., 2019

Integration of transcriptomic data in a genome-scale metabolic model to investigate the link between obesity and breast cancer.

Ilaria Granata, Enrico Troiano, Mara Sangiovanni, Mario Rosario Guarracino

BMC Bioinform., 2019

Semi-supervised generalized eigenvalues classification.

Marco Viola, Mara Sangiovanni, Gerardo Toraldo, Mario R. Guarracino

Ann. Oper. Res., 2019

2018

An integrated approach to infer cross-talks between intracellular protein transport and signaling pathways.

Kumar Parijat Tripathi, Marina Piccirillo, Mario Rosario Guarracino

BMC Bioinform., 2018

Ensemble of rankers for efficient gene signature extraction in smoke exposure classification.

Maurizio Giordano, Kumar Parijat Tripathi, Mario Rosario Guarracino

BMC Bioinform., 2018

Supervised Classification of Metabolic Networks.

Ilaria Granata, Mario R. Guarracino, Valeriy A. Kalyagin, Lucia Maddalena, Ichcha Manipur, Panos M. Pardalos

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

A generalized eigenvalues classifier with embedded feature selection.

Marco Viola, Mara Sangiovanni, Gerardo Toraldo, Mario R. Guarracino

Optim. Lett., 2017

A mixed integer programming-based global optimization framework for analyzing gene expression data.

Giovanni Felici, Kumar Parijat Tripathi, Daniela Evangelista, Mario Rosario Guarracino

J. Glob. Optim., 2017

Beta-Binomial Model for the Detection of Rare Mutations in Pooled Next-Generation Sequencing Experiments.

Audrone Jakaitiene, Mariano Avino, Mario Rosario Guarracino

J. Comput. Biol., 2017

Segmenting Dermoscopic Images.

Mario Rosario Guarracino, Lucia Maddalena

CoRR, 2017

2016

Effects of Mecp2 loss of function in embryonic cortical neurons: a bioinformatics strategy to sort out non-neuronal cells variability from transcriptome profiling.

Marcella Vacca, Kumar Parijat Tripathi, Luisa Speranza, Riccardo Aiese Cigliano, Francesco Scalabrì, Federico Marracino, Michele Madonna, Walter Sanseverino, Carla Perrone-Capano, Mario Rosario Guarracino, Maurizio D'Esposito

BMC Bioinform., 2016

Var2GO: a web-based tool for gene variants selection.

Ilaria Granata, Mara Sangiovanni, Francesco Maiorano, Marco Miele, Mario Rosario Guarracino

BMC Bioinform., 2016

An Atlas of annotations of Hydra vulgaris transcriptome.

Daniela Evangelista, Kumar Parijat Tripathi, Mario Rosario Guarracino

BMC Bioinform., 2016

Multidimensional Scaling for Genomic Data.

Audrone Jakaitiene, Mara Sangiovanni, Mario R. Guarracino, Panos M. Pardalos

Proceedings of the Advances in Stochastic and Deterministic Global Optimization., 2016

2015

The MetaboX Library: Building Metabolic Networks from KEGG Database.

Francesco Maiorano, Luca Ambrosino, Mario Rosario Guarracino

Proceedings of the Bioinformatics and Biomedical Engineering, 2015

HvDBase: A Web Resource on Hydra Vulgaris Transcriptome.

Daniela Evangelista, Kumar Parijat Tripathi, Valentina Scuotto, Mario Rosario Guarracino

Proceedings of the Bioinformatics and Biomedical Engineering, 2015

Comparison of Gene Expression Signature Using Rank Based Statistical Inference.

Kumar Parijat Tripathi, Sonali Gopichand Chavan, Seetharaman Parashuraman, Marina Piccirillo, Sara Magliocca, Mario Rosario Guarracino

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2015

A Web Resource on Skeletal Muscle Transcriptome of Primates.

Daniela Evangelista, Mariano Avino, Kumar Parijat Tripathi, Mario Rosario Guarracino

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2015

2014

Prediction of Rare Single-Nucleotide Causative Mutations for Muscular Diseases in Pooled Next-Generation Sequencing Experiments.

Maria Brigida Ferraro, Marco Savarese, Giuseppina Di Fruscio, Vincenzo Nigro, Mario Rosario Guarracino

J. Comput. Biol., 2014

Robust generalized eigenvalue classifier with ellipsoidal uncertainty.

Petros Xanthopoulos, Mario R. Guarracino, Panos M. Pardalos

Ann. Oper. Res., 2014

Raman Spectroscopy Using a Multiclass Extension of Fisher-Based Feature Selection Support Vector Machines (FFS-SVM) for Characterizing In-Vitro Apoptotic Cell Death Induced by Paclitaxel.

Michael B. Fenn, Mario Rosario Guarracino, Jiaxing Pi, Panos M. Pardalos

Proceedings of the Learning and Intelligent Optimization, 2014

Transcriptator: Computational Pipeline to Annotate Transcripts and Assembled Reads from RNA-Seq Data.

Kumar Parijat Tripathi, Daniela Evangelista, Raffaele Cassandra, Mario R. Guarracino

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2014

2013

Classification of Data Chunks Using Proximal Vector Machines and Singular Value Decomposition.

Antonio Irpino, Mario Rosario Guarracino, Rosanna Verde

Proceedings of the Classification and Data Mining, 2013

Fuzzy regularized generalized eigenvalue classifier with a novel membership function.

Mario Rosario Guarracino, Antonio Irpino, Raimundas Jasinevicius, Rosanna Verde

Inf. Sci., 2013

A Novel Feature Selection Method for Classification Using a Fuzzy Criterion.

Maria Brigida Ferraro, Antonio Irpino, Rosanna Verde, Mario Rosario Guarracino

Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013

Prediction of Single-Nucleotide Polymorphisms Causative of Rare Diseases.

Maria Brigida Ferraro, Mario Rosario Guarracino

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2013

2011

Classification of cancer cell death with spectral dimensionality reduction and generalized eigenvalues.

Mario R. Guarracino, Petros Xanthopoulos, Georgios Pyrgiotakis, Vera Tomaino, Brij M. Moudgil, Panos M. Pardalos

Artif. Intell. Medicine, 2011

2010

Parallel, Distributed and Network-based Computing: an Application Perspective.

Pasqua D'Ambra, Daniela di Serafino, Mario Rosario Guarracino, Francesca Perla

Scalable Comput. Pract. Exp., 2010

Application of Support Vector Machines to Melissopalynological Data for Honey Classification.

Giovanna Aronne, Veronica De Micco, Mario Rosario Guarracino

Int. J. Agric. Environ. Inf. Syst., 2010

Prior Knowledge in the Classification of Biomedical Data.

Danilo Abbate, Roberta De Asmundis, Mario Rosario Guarracino

Proceedings of the Combining Soft Computing and Statistical Methods in Data Analysis, 2010

Prior Knowledge in Supervised Classification Models.

Panos M. Pardalos, Mario R. Guarracino

Proceedings of the ICFC-ICNC 2010, 2010

Efficient Prediction of Protein-Protein Interactions Using Sequence Information.

Mario R. Guarracino, Adriano Nebbia, Valeria Manna, Altannar Chinchuluun, Panos M. Pardalos

Proceedings of the CISIS 2010, 2010

Multiclass Generalized Eigenvalue Proximal Support Vector Machines.

Mario Rosario Guarracino, Antonio Irpino, Rosanna Verde

Proceedings of the CISIS 2010, 2010

Supervised Classification Methods for Mining Cell Differences as Depicted by Raman Spectroscopy.

Petros Xanthopoulos, Roberta De Asmundis, Mario Rosario Guarracino, Georgios Pyrgiotakis, Panos M. Pardalos

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2010

2009

Generalized Eigenvalue Proximal Support Vector Machine Problem.

Mario R. Guarracino, Salvatore Cuciniello, Davide Feminiano

Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Decision rules for efficient classification of biological data.

Mario R. Guarracino, Altannar Chinchuluun, Panos M. Pardalos

Optim. Lett., 2009

Predicting Protein-Protein Interactions with K-Nearest Neighbors Classification Algorithm.

Mario R. Guarracino, Adriano Nebbia

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2009

2008

A sparse nonsymmetric eigensolver for distributed memory architectures.

Mario R. Guarracino, Francesca Perla, Paolo Zanetti

Int. J. Parallel Emergent Distributed Syst., 2008

Parallel, distributed and network-based processing.

Pasqua D'Ambra, Gennaro Della Vecchia, Mario Rosario Guarracino

J. Syst. Archit., 2008

A Web-based Learning Tool for applied Mathematics Disciplines.

Francesco Giannino, Mario Rosario Guarracino, Valeria Marina Monetti, Loredana Randazzo, Gerardo Toraldo

Proceedings of the Conference Knowledge Construction in E-learning Context: CSCL, 2008

A Supervised Learning Technique and Its Applications to Computational Biology.

Mario Rosario Guarracino, Altannar Chinchuluun, Panos M. Pardalos

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2008

Incremental Learning and Decremented Characterization of Gene Expression Data Analysis.

Mario Rosario Guarracino, Salvatore Cuciniello, Davide Feminiano

Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008

2007

A classification method based on generalized eigenvalue problems.

Mario Rosario Guarracino, Claudio Cifarelli, Onur Seref, Panos M. Pardalos

Optim. Methods Softw., 2007

Incremental generalized Eigenvalue classification on data streams.

Mario R. Guarracino, Salvatore Cuciniello, Davide Feminiano

Monde des Util. Anal. Données, 2007

Incremental Classification with Generalized Eigenvalues.

Claudio Cifarelli, Mario Rosario Guarracino, Onur Seref, Salvatore Cuciniello, Panos M. Pardalos

J. Classif., 2007

A Parallel Classification and Feature Reduction Method for Biomedical Applications.

Mario Rosario Guarracino, Salvatore Cuciniello, Davide Feminiano

Proceedings of the Parallel Processing and Applied Mathematics, 2007

2006

A Parallel Classification Method for Genomic and Proteomic Problems.

Mario R. Guarracino, Claudio Cifarelli, Onur Seref, Panos M. Pardalos

Proceedings of the 20th International Conference on Advanced Information Networking and Applications (AINA 2006), 2006

2005

Application Oriented Brokering in Medical Imaging: Algorithms and Software Architecture.

Mario R. Guarracino, Giuliano Laccetti, Almerico Murli

Proceedings of the Advances in Grid Computing, 2005

A Grid Enabled PSE for Medical Imaging: Experiences on MedIGrid.

Vania Boccia, Mario R. Guarracino

Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005

2004

Integrating Scientific Software Libraries in Problem Solving Environments: A Case Study with ScaLAPACK.

Luisa D'Amore, Mario R. Guarracino, Giuliano Laccetti, Almerico Murli

Proceedings of the Computational Science and Its Applications, 2004

Integrating Medical Imaging into a Grid Based Computing Infrastructure.

Paola Bonetto, Mario R. Guarracino, Fabrizio Inguglia

Proceedings of the Computational Science and Its Applications, 2004

An Adaptable Learning Technology System for Mathematical Models.

Francesco Giannino, Mario R. Guarracino, Valeria Marina Monetti, Nunzio Romano, Gerardo Toraldo

Proceedings of the IEEE International Conference on Advanced Learning Technologies, 2004

2003

On the Parallelization of a Commercial PSE for Scientific Computing.

Luisa D'Amore, Mario R. Guarracino, Giuliano Laccetti

Proceedings of the 11th Euromicro Workshop on Parallel, 2003

MedIGrid: A Medical Imaging Application for Computational Grids.

Mario Bertero, Paola Bonetto, Luisa Carracciuolo, Luisa D'Amore, A. Formiconi, Mario R. Guarracino, Giuliano Laccetti, Almerico Murli, Gennaro Oliva

Proceedings of the 17th International Parallel and Distributed Processing Symposium (IPDPS 2003), 2003

2000

Browsing Virtual Reality on a PC Cluster.

Mario R. Guarracino, Giuliano Laccetti, Diego Romano

Proceedings of the 2000 IEEE International Conference on Cluster Computing (CLUSTER 2000), November 28th, 2000

Yabat: An Administration and Monitoring Software for Beowulf Clusters.

Mario R. Guarracino, Giuliano Laccetti, Gennaro Oliva, Umberto Scafuri

Proceedings of the 2000 IEEE International Conference on Cluster Computing (CLUSTER 2000), November 28th, 2000

1995

A parallel modified block Lanczos' algorithm for distributed memory architectures.

Mario R. Guarracino, Francesca Perla

Proceedings of the 3rd Euromicro Workshop on Parallel and Distributed Processing (PDP '95), 1995

1994

A Parallel Block Lanczos Algorithm for Distributed Memory Architectures.

Mario R. Guarracino, Francesca Perla

Parallel Algorithms Appl., 1994