Mario Rosario Guarracino

发表

A generalized eigenvalues classifier with embedded feature selection

Gerardo Toraldo, Marco Viola, Mara Sangiovanni, 2017, Optim. Lett..

Current classification algorithms for biomedical applications

Panos M. Pardalos, Gerardo Toraldo, Mario Rosario Guarracino, 2008 .

A Novel Feature Selection Method for Classification Using a Fuzzy Criterion

Mario Rosario Guarracino, Maria Brigida Ferraro, Antonio Irpino, 2013, LION.

Decision rules for efficient classification of biological data

Panos M. Pardalos, Mario Rosario Guarracino, Altannar Chinchuluun, 2009, Optim. Lett..

A parallel classification method for genomic and proteomic problems

Panos M. Pardalos, Onur Seref, Mario Rosario Guarracino, 2006, 20th International Conference on Advanced Information Networking and Applications - Volume 1 (AINA'06).

A Supervised Learning Technique and Its Applications to Computational Biology

Panos M. Pardalos, Mario Rosario Guarracino, Altannar Chinchuluun, 2009, CIBB.

A Parallel Classification and Feature Reduction Method for Biomedical Applications

Mario Rosario Guarracino, Salvatore Cuciniello, Davide Feminiano, 2007, PPAM.

HvDBase: A Web Resource on Hydra Vulgaris Transcriptome

Mario Rosario Guarracino, Daniela Evangelista, Kumar Parijat Tripathi, 2015, IWBBIO.

Segmenting Dermoscopic Images pdf

Lucia Maddalena, Mario Rosario Guarracino, 2017, ArXiv.

Network Distances for Weighted Digraphs

Lucia Maddalena, Mario Rosario Guarracino, Ilaria Granata, 2020 .

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

Mario Rosario Guarracino, Adriano Nebbia, M. Guarracino, 2009, CIBB.

A grid enabled PSE for medical imaging: experiences on MedIGrid

Mario Rosario Guarracino, Vania Boccia, 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).

A Web-based Learning Tool for applied Mathematics Disciplines

Gerardo Toraldo, Mario Rosario Guarracino, Francesco Giannino, 2008, Knowledge Construction in E-learning Context.

Incremental Learning and Decremented Characterization of Gene Expression Data Analysis

Mario Rosario Guarracino, Salvatore Cuciniello, Davide Feminiano, 2008, 2008 21st IEEE International Symposium on Computer-Based Medical Systems.

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

Panos M. Pardalos, Petros Xanthopoulos, Mario Rosario Guarracino, 2010, CIBB.

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

Walter Sanseverino, Riccardo Aiese Cigliano, Mario Rosario Guarracino, 2016, BMC Bioinformatics.

An adaptable learning technology system for mathematical models

Gerardo Toraldo, Mario Rosario Guarracino, Nunzio Romano, 2004, IEEE International Conference on Advanced Learning Technologies, 2004. Proceedings..

DecontaMiner: A Pipeline for the Detection and Analysis of Contaminating Sequences in Human NGS Sequencing Data

Mara Sangiovanni, Mario Rosario Guarracino, Ilaria Granata, 2016 .

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

Giovanni Felici, Mario Rosario Guarracino, Daniela Evangelista, 2017, Journal of Global Optimization.

Prior Knowledge in Supervised Classification Models

Panos M. Pardalos, Mario Rosario Guarracino, 2010, IJCCI.

A Parallel Block Lanczos Algorithm for Distributed Memory Architectures

Mario Rosario Guarracino, Francesca Perla, F. Perla, 1994, Parallel Algorithms Appl..

SDI+: A Novel Algorithm for Segmenting Dermoscopic Images

Lucia Maddalena, Mario Rosario Guarracino, M. Guarracino, 2019, IEEE Journal of Biomedical and Health Informatics.

A parallel block Lanczos algorithm and its implementation for the evaluation of some eigenvalues of large sparse symmetric matrices on multicomputers

Mario Rosario Guarracino, Francesca Perla, Paolo Zanetti, 2006 .

Proceedings of the 16th international Euro-Par conference on Parallel processing: Part II

Domenico Talia, Mario Rosario Guarracino, Pasqua D'Ambra, 2010 .

Browsing virtual reality on a PC cluster

Mario Rosario Guarracino, Giuliano Laccetti, Diego Romano, 2000, Proceedings IEEE International Conference on Cluster Computing. CLUSTER 2000.

Mathematical Models of Supervised Learning and Application to Medical Diagnosis

Mario Rosario Guarracino, Roberta De Asmundis, R. D. Asmundis, 2013 .

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

Panos M. Pardalos, Mario Rosario Guarracino, Jiaxing Pi, 2014, LION.

MedIGrid: a medical imaging application for computational Grids

Almerico Murli, Luisa D'Amore, Gennaro Oliva, 2003, Proceedings International Parallel and Distributed Processing Symposium.

Robust generalized eigenvalue classifier with ellipsoidal uncertainty

Panos M. Pardalos, Petros Xanthopoulos, Mario Rosario Guarracino, 2014, Ann. Oper. Res..

IGV-plus: A java software for the analysis and visualization of next-generation sequencing data

Mario Rosario Guarracino, Maria Ferraro, Antonio Agliata, 2014 .

A classification method based on generalized eigenvalue problems

Panos M. Pardalos, Onur Seref, Mario Rosario Guarracino, 2007, Optim. Methods Softw..

A new approach to brain imaging, based on an open and distributed environment

Andreas Robert Formiconi, Mario Rosario Guarracino, P. Bonetto, 2003, First International IEEE EMBS Conference on Neural Engineering, 2003. Conference Proceedings..

Multiclass Generalized Eigenvalue Proximal Support Vector Machines

Mario Rosario Guarracino, Antonio Irpino, Rosanna Verde, 2010, 2010 International Conference on Complex, Intelligent and Software Intensive Systems.

On the parallelization of a commercial PSE for scientific computing

Luisa D'Amore, Mario Rosario Guarracino, Giuliano Laccetti, 2003, Eleventh Euromicro Conference on Parallel, Distributed and Network-Based Processing, 2003. Proceedings..

The MetaboX Library: Building Metabolic Networks from KEGG Database

Mario Rosario Guarracino, Luca Ambrosino, Francesco Maiorano, 2015, IWBBIO.

Generalized Eigenvalue Proximal Support Vector Machine Problem

Mario Rosario Guarracino, Salvatore Cuciniello, Davide Feminiano, 2009, Encyclopedia of Optimization.

Integrating imaging and omics data: A review

Lucia Maddalena, Laura Antonelli, Mara Sangiovanni, 2019, Biomed. Signal Process. Control..

Prior Knowledge in the Classification of Biomedical Data

Mario Rosario Guarracino, Roberta De Asmundis, Danilo Abbate, 2010, SMPS.

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

Daniela di Serafino, Mario Rosario Guarracino, Pasqua D'Ambra, 2010, Scalable Comput. Pract. Exp..

Euro-Par 2010 - Parallel Processing

Domenico Talia, Mario Rosario Guarracino, Pasqua D'Ambra, 2010, Lecture Notes in Computer Science.

NEURAL NETWORK CLASSIFICATION WITH PRIOR KNOWLEDGE FOR ANALYSIS OF BIOLOGICAL DATA

Panos M. Pardalos, Mario Rosario Guarracino, Altannar Chinchuluun, 2009 .

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

Mara Sangiovanni, Mario Rosario Guarracino, Ilaria Granata, 2019, BMC Bioinformatics.

A parallel modified block Lanczos' algorithm for distributed memory architectures

Mario Rosario Guarracino, Francesca Perla, F. Perla, 1995, Proceedings Euromicro Workshop on Parallel and Distributed Processing.

A sparse nonsymmetric eigensolver for distributed memory architectures

Mario Rosario Guarracino, Francesca Perla, Paolo Zanetti, 2008, Int. J. Parallel Emergent Distributed Syst..

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

Mara Sangiovanni, Mario Rosario Guarracino, Ilaria Granata, 2019, BMC Bioinformatics.

Parallel, distributed and network-based processing

Gennaro Della Vecchia, Pasqua D'Ambra, Mario Rosario Guarracino, 2008, J. Syst. Archit..

Var2GO: a web-based tool for gene variants selection

Mara Sangiovanni, Mario Rosario Guarracino, Ilaria Granata, 2016, BMC Bioinformatics.

Incremental Classification with Generalized Eigenvalues

Panos M. Pardalos, Onur Seref, Mario Rosario Guarracino, 2007, J. Classif..

Glioma Grade Classification via Omics Imaging

Lucia Maddalena, Mario Rosario Guarracino, Mario Manzo, 2020, BIOIMAGING.

RankerGUI: A Computational Framework to Compare Differential Gene Expression Profiles Using Rank Based Statistics

Mario Rosario Guarracino, Kumar Parijat Tripathi, Amarinder Singh Thind, 2019, International journal of molecular sciences.

Integrating Medical Imaging into a Grid Based Computing Infrastructure

Mario Rosario Guarracino, Fabrizio Inguglia, Paola Bonetto, 2004, ICCSA.

Supervised Classification of Metabolic Networks

Panos M. Pardalos, Lucia Maddalena, Valeriy A. Kalyagin, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Multidimensional Scaling for Genomic Data

Panos M. Pardalos, Mara Sangiovanni, Mario Rosario Guarracino, 2016, Advances in Stochastic and Deterministic Global Optimization.

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

Mario Rosario Guarracino, Daniela Evangelista, Kumar Parijat Tripathi, 2014, CIBB.

Prediction of Single-Nucleotide Polymorphisms Causative of Rare Diseases

Mario Rosario Guarracino, Maria Brigida Ferraro, M. Ferraro, 2013, CIBB.

Application of Support Vector Machines to Melissopalynological Data for Honey Classification

Mario Rosario Guarracino, Veronica De Micco, Giovanna Aronne, 2010, Int. J. Agric. Environ. Inf. Syst..

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

Mario Rosario Guarracino, Audrone Jakaitiene, Mariano Avino, 2017, J. Comput. Biol..

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

Mario Rosario Guarracino, Antonio Irpino, Rosanna Verde, 2013, Classification and Data Mining.

Yabat: An Administration and Monitoring Software for Beowulf Clusters

Gennaro Oliva, Mario Rosario Guarracino, Giuliano Laccetti, 2000, CLUSTER.

Panos M. Pardalos, Lucia Maddalena, Mario Rosario Guarracino, 2019 .

Application Oriented Brokering in Medical Imaging: Algorithms and Software Architecture

Almerico Murli, Mario Rosario Guarracino, Giuliano Laccetti, 2005, EGC.

Comparison of Gene Expression Signature Using Rank Based Statistical Inference

Mario Rosario Guarracino, Kumar Parijat Tripathi, Sonali Gopichand Chavan, 2015, CIBB.

A Web Resource on Skeletal Muscle Transcriptome of Primates

Mario Rosario Guarracino, Mariano Avino, Daniela Evangelista, 2015, CIBB.

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

Almerico Murli, Luisa D'Amore, Mario Rosario Guarracino, 2004, ICCSA.

Euro-Par 2010 parallel processing : 16th International Euro-Par Conference, Ischia, Italy, August 31 - September 3, 2010 : proceedings

Domenico Talia, Mario Rosario Guarracino, Pasqua D'Ambra, 2010 .

An Atlas of annotations of Hydra vulgaris transcriptome

Mario Rosario Guarracino, Daniela Evangelista, Kumar Parijat Tripathi, 2016, BMC Bioinformatics.

From Separating to Proximal Plane Classifiers: A Review

Mario Rosario Guarracino, Maria Ferraro, M. Ferraro, 2014 .

Efficient Prediction of Protein-Protein Interactions Using Sequence Information

Panos M. Pardalos, Mario Rosario Guarracino, Altannar Chinchuluun, 2010, 2010 International Conference on Complex, Intelligent and Software Intensive Systems.

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

Mario Rosario Guarracino, Kumar Parijat Tripathi, Marina Piccirillo, 2018, BMC Bioinformatics.

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

Mario Rosario Guarracino, Maria Brigida Ferraro, Marco Savarese, 2014, J. Comput. Biol..

Fuzzy regularized generalized eigenvalue classifier with a novel membership function

Mario Rosario Guarracino, Antonio Irpino, Rosanna Verde, 2013, Inf. Sci..

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

Mario Rosario Guarracino, Maurizio Giordano, Kumar Parijat Tripathi, 2018, BMC Bioinformatics.

Fuzzy Hyperinference-Based Pattern Recognition

Mario Rosario Guarracino, Vytautas Petrauskas, Raimundas Jasinevicius, 2013 .

Euro-Par 2010 Parallel Processing Workshops - HeteroPar, HPCC, HiBB, CoreGrid, UCHPC, HPCF, PROPER, CCPI, VHPC, Ischia, Italy, August 31-September 3, 2010, Revised Selected Papers

Jesper Larsson Träff, Frédéric Vivien, Beniamino Di Martino, 2011, Euro-Par Workshops.

Semi-supervised generalized eigenvalues classification

Gerardo Toraldo, Marco Viola, Mara Sangiovanni, 2019, Ann. Oper. Res..

PROTEIN-PROTEIN INTERACTIONS PREDICTION USING 1-NEAREST NEIGHBORS CLASSIFICATION ALGORITHM AND FEATURE SELECTION

Panos M. Pardalos, Mario Rosario Guarracino, Altannar Chinchuluun, 2010 .

Transcriptator: An Automated Computational Pipeline to Annotate Assembled Reads and Identify Non Coding RNA

Mario Rosario Guarracino, Daniela Evangelista, Kumar Parijat Tripathi, 2015, PloS one.

miR-138/miR-222 Overexpression Characterizes the miRNome of Amniotic Mesenchymal Stem Cells in Obesity.

Mario Rosario Guarracino, Francesco Salvatore, Ilaria Granata, 2017, Stem cells and development.

On the regularization of generalized eigenvalues classifiers

Gerardo Severino, Gerardo Toraldo, Mara Sangiovanni, 2016 .

Sex-Comparative Analysis of the miRNome of Human Amniotic Mesenchymal Stem Cells During Obesity.

Mario Rosario Guarracino, Francesco Salvatore, Ilaria Granata, 2017, Stem cells and development.

Rigidity and flexibility in protein-protein interaction networks: a case study on neuromuscular disorders

Mario Rosario Guarracino, Maria Brigida Ferraro, Francesco Maiorano, 2014, 1402.2304.

Adaptive phenotype drives resistance to androgen deprivation therapy in prostate cancer

Mario Rosario Guarracino, Ilaria Granata, Andrea Petretto, 2017, Cell Communication and Signaling.

Logic formulas based knowledge discovery and its application to the classification of biological data

Giovanni Felici, Mario Rosario Guarracino, Paola Bertolazzi, 2009 .

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

Panos M. Pardalos, Petros Xanthopoulos, Mario Rosario Guarracino, 2011, Artif. Intell. Medicine.