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ORCIDMario Rosario Guarracino
Mario R. Guarracino
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- affiliation: National Research Council, Italy
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2020 – today
- 2024
[j36]Panos M. Pardalos, Valeriy A. Kalyagin, Mario R. Guarracino:
Editorial. Comput. Manag. Sci. 21(1): 35 (2024)- [j35]Ilaria Bombelli
, Ichcha Manipur, Mario Rosario Guarracino, Maria Brigida Ferraro:
Representing ensembles of networks for fuzzy cluster analysis: a case study. Data Min. Knowl. Discov. 38(2): 725-747 (2024) - 2023
- [j34]Laura Antonelli, Mario Rosario Guarracino:
Special Issue on Supervised and Unsupervised Classification Algorithms - Foreword from Guest Editors. Algorithms 16(3): 145 (2023) - [j33]Maurizio Giordano, Lucia Maddalena, Mario Manzo, Mario Rosario Guarracino:
Adversarial attacks on graph-level embedding methods: a case study. Ann. Math. Artif. Intell. 91(2-3): 259-285 (2023) - [j32]Lucia Maddalena, Ilaria Granata, Maurizio Giordano, Mario Manzo, Mario Rosario Guarracino:
Integrating Different Data Modalities for the Classification of Alzheimer's Disease Stages. SN Comput. Sci. 4(3): 249 (2023) - 2022
- [j31]Lucia Maddalena, Laura Antonelli, Alexandra Albu, Aroj Hada, Mario Rosario Guarracino:
Artificial Intelligence for Cell Segmentation, Event Detection, and Tracking for Label-free Microscopy Imaging. Algorithms 15(9): 313 (2022) - [j30]Ichcha Manipur, Mario Manzo, Ilaria Granata, Maurizio Giordano, Lucia Maddalena, Mario R. Guarracino:
Netpro2vec: A Graph Embedding Framework for Biomedical Applications. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 729-740 (2022) - [c35]Lucia Maddalena, Ilaria Granata, Maurizio Giordano, Mario Manzo, Mario Rosario Guarracino, Alzheimer's Disease Neuroimaging Initiative:
Classifying Alzheimer's Disease using MRIs and Transcriptomic Data. BIOIMAGING 2022: 70-79 - [c34]Saeed Ketabchi, Hossein Moosaei, Mario R. Guarracino, Milan Hladík:
Separating Two Polyhedra Utilizing Alternative Theorems and Penalty Function. LION 2022: 27-39 - 2021
- [c33]Mario Manzo, Maurizio Giordano, Lucia Maddalena, Mario R. Guarracino:
Performance Evaluation of Adversarial Attacks on Whole-Graph Embedding Models. LION 2021: 219-236 - 2020
- [j29]Ilaria Granata, Mario R. Guarracino, Valeriy A. Kalyagin, Lucia Maddalena, Ichcha Manipur, Panos M. Pardalos:
Model simplification for supervised classification of metabolic networks. Ann. Math. Artif. Intell. 88(1-3): 91-104 (2020) - [j28]Ichcha Manipur, Ilaria Granata, Lucia Maddalena, Mario R. Guarracino:
Correction to: Clustering analysis of tumor metabolic networks. BMC Bioinform. 21(1): 494 (2020) - [j27]Ichcha Manipur, Ilaria Granata, Lucia Maddalena, Mario R. Guarracino:
Clustering analysis of tumor metabolic networks. BMC Bioinform. 21-S(10): 349 (2020) - [c32]Lucia Maddalena, Ilaria Granata, Ichcha Manipur, Mario Manzo, Mario R. Guarracino:
Glioma Grade Classification via Omics Imaging. BIOIMAGING 2020: 82-92 - [c31]Lucia Maddalena, Ilaria Granata, Ichcha Manipur, Mario Manzo, Mario R. Guarracino:
A Framework Based on Metabolic Networks and Biomedical Images Data to Discriminate Glioma Grades. BIOSTEC (Selected Papers) 2020: 165-189
2010 – 2019
- 2019
- [j26]Marco Viola, Mara Sangiovanni, Gerardo Toraldo, Mario R. Guarracino:
Semi-supervised generalized eigenvalues classification. Ann. Oper. Res. 276(1-2): 249-266 (2019) - [j25]Ilaria Granata, Enrico Troiano, Mara Sangiovanni, Mario Rosario Guarracino:
Integration of transcriptomic data in a genome-scale metabolic model to investigate the link between obesity and breast cancer. BMC Bioinform. 20-S(4): 162:1-162:11 (2019) - [j24]Mara Sangiovanni, Ilaria Granata, Amarinder Singh Thind, Mario Rosario Guarracino:
From trash to treasure: detecting unexpected contamination in unmapped NGS data. BMC Bioinform. 20-S(4): 168:1-168:12 (2019) - [j23]Laura Antonelli, Mario Rosario Guarracino, Lucia Maddalena, Mara Sangiovanni:
Integrating imaging and omics data: A review. Biomed. Signal Process. Control. 52: 264-280 (2019) - [j22]Mario Rosario Guarracino, Lucia Maddalena:
SDI+: A Novel Algorithm for Segmenting Dermoscopic Images. IEEE J. Biomed. Health Informatics 23(2): 481-488 (2019) - 2018
- [j21]Kumar Parijat Tripathi, Marina Piccirillo, Mario Rosario Guarracino:
An integrated approach to infer cross-talks between intracellular protein transport and signaling pathways. BMC Bioinform. 19-S(2): 27-40 (2018) - [j20]Maurizio Giordano, Kumar Parijat Tripathi, Mario Rosario Guarracino:
Ensemble of rankers for efficient gene signature extraction in smoke exposure classification. BMC Bioinform. 19-S(2): 41-54 (2018) - [c30]Ilaria Granata, Mario R. Guarracino, Valeriy A. Kalyagin, Lucia Maddalena, Ichcha Manipur, Panos M. Pardalos:
Supervised Classification of Metabolic Networks. BIBM 2018: 2688-2693 - 2017
- [j19]Audrone Jakaitiene, Mariano Avino, Mario Rosario Guarracino:
Beta-Binomial Model for the Detection of Rare Mutations in Pooled Next-Generation Sequencing Experiments. J. Comput. Biol. 24(4): 357-367 (2017) - [j18]Giovanni Felici, Kumar Parijat Tripathi, Daniela Evangelista, Mario Rosario Guarracino:
A mixed integer programming-based global optimization framework for analyzing gene expression data. J. Glob. Optim. 69(3): 727-744 (2017) - [j17]Marco Viola, Mara Sangiovanni, Gerardo Toraldo, Mario R. Guarracino:
A generalized eigenvalues classifier with embedded feature selection. Optim. Lett. 11(2): 299-311 (2017) - [i1]Mario Rosario Guarracino, Lucia Maddalena:
Segmenting Dermoscopic Images. CoRR abs/1703.03186 (2017) - 2016
- [j16]Daniela Evangelista, Kumar Parijat Tripathi, Mario Rosario Guarracino:
An Atlas of annotations of Hydra vulgaris transcriptome. BMC Bioinform. 17(S-11): 360 (2016) - [j15]Ilaria Granata, Mara Sangiovanni, Francesco Maiorano, Marco Miele, Mario Rosario Guarracino:
Var2GO: a web-based tool for gene variants selection. BMC Bioinform. 17(S-12): 135-140 (2016) - [j14]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:
Effects of Mecp2 loss of function in embryonic cortical neurons: a bioinformatics strategy to sort out non-neuronal cells variability from transcriptome profiling. BMC Bioinform. 17(S-2): 14 (2016) - [p2]Audrone Jakaitiene, Mara Sangiovanni, Mario R. Guarracino, Panos M. Pardalos:
Multidimensional Scaling for Genomic Data. Advances in Stochastic and Deterministic Global Optimization 2016: 129-139 - 2015
- [c29]Kumar Parijat Tripathi, Sonali Gopichand Chavan, Seetharaman Parashuraman, Marina Piccirillo, Sara Magliocca, Mario Rosario Guarracino:
Comparison of Gene Expression Signature Using Rank Based Statistical Inference. CIBB 2015: 28-41 - [c28]Daniela Evangelista, Mariano Avino, Kumar Parijat Tripathi, Mario Rosario Guarracino:
A Web Resource on Skeletal Muscle Transcriptome of Primates. CIBB 2015: 273-284 - [c27]Daniela Evangelista, Kumar Parijat Tripathi, Valentina Scuotto, Mario Rosario Guarracino:
HvDBase: A Web Resource on Hydra Vulgaris Transcriptome. IWBBIO (2) 2015: 355-362 - [c26]Francesco Maiorano, Luca Ambrosino, Mario Rosario Guarracino:
The MetaboX Library: Building Metabolic Networks from KEGG Database. IWBBIO (1) 2015: 565-576 - 2014
- [j13]Petros Xanthopoulos, Mario R. Guarracino, Panos M. Pardalos:
Robust generalized eigenvalue classifier with ellipsoidal uncertainty. Ann. Oper. Res. 216(1): 327-342 (2014) - [j12]Maria Brigida Ferraro, Marco Savarese, Giuseppina Di Fruscio, Vincenzo Nigro, Mario Rosario Guarracino:
Prediction of Rare Single-Nucleotide Causative Mutations for Muscular Diseases in Pooled Next-Generation Sequencing Experiments. J. Comput. Biol. 21(9): 665-675 (2014) - [c25]Kumar Parijat Tripathi, Daniela Evangelista, Raffaele Cassandra, Mario R. Guarracino:
Transcriptator: Computational Pipeline to Annotate Transcripts and Assembled Reads from RNA-Seq Data. CIBB 2014: 156-169 - [c24]Michael B. Fenn, Mario Rosario Guarracino, Jiaxing Pi, Panos M. Pardalos:
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. LION 2014: 306-323 - 2013
- [j11]Mario Rosario Guarracino, Antonio Irpino, Raimundas Jasinevicius, Rosanna Verde:
Fuzzy regularized generalized eigenvalue classifier with a novel membership function. Inf. Sci. 245: 53-62 (2013) - [c23]Maria Brigida Ferraro, Mario Rosario Guarracino:
Prediction of Single-Nucleotide Polymorphisms Causative of Rare Diseases. CIBB 2013: 213-224 - [c22]Maria Brigida Ferraro, Antonio Irpino, Rosanna Verde, Mario Rosario Guarracino:
A Novel Feature Selection Method for Classification Using a Fuzzy Criterion. LION 2013: 455-467 - [p1]Antonio Irpino, Mario Rosario Guarracino, Rosanna Verde:
Classification of Data Chunks Using Proximal Vector Machines and Singular Value Decomposition. Classification and Data Mining 2013: 55-62 - 2011
- [j10]Mario R. Guarracino, Petros Xanthopoulos, Georgios Pyrgiotakis, Vera Tomaino, Brij M. Moudgil, Panos M. Pardalos:
Classification of cancer cell death with spectral dimensionality reduction and generalized eigenvalues. Artif. Intell. Medicine 53(2): 119-125 (2011) - [e3]Mario R. Guarracino, Frédéric Vivien, Jesper Larsson Träff, Mario Cannataro, Marco Danelutto, Anders Hast, Francesca Perla, Andreas Knüpfer, Beniamino Di Martino, Michael Alexander:
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. Lecture Notes in Computer Science 6586, Springer 2011, ISBN 978-3-642-21877-4 [contents] - 2010
- [j9]Giovanna Aronne, Veronica De Micco, Mario Rosario Guarracino:
Application of Support Vector Machines to Melissopalynological Data for Honey Classification. Int. J. Agric. Environ. Inf. Syst. 1(2): 85-94 (2010) - [j8]Pasqua D'Ambra, Daniela di Serafino, Mario Rosario Guarracino, Francesca Perla:
Parallel, Distributed and Network-based Computing: an Application Perspective. Scalable Comput. Pract. Exp. 11(3) (2010) - [c21]Petros Xanthopoulos, Roberta De Asmundis, Mario Rosario Guarracino, Georgios Pyrgiotakis, Panos M. Pardalos:
Supervised Classification Methods for Mining Cell Differences as Depicted by Raman Spectroscopy. CIBB 2010: 112-122 - [c20]Mario Rosario Guarracino, Antonio Irpino, Rosanna Verde:
Multiclass Generalized Eigenvalue Proximal Support Vector Machines. CISIS 2010: 25-32 - [c19]Mario R. Guarracino, Adriano Nebbia, Valeria Manna, Altannar Chinchuluun, Panos M. Pardalos:
Efficient Prediction of Protein-Protein Interactions Using Sequence Information. CISIS 2010: 677-682 - [c18]Panos M. Pardalos, Mario R. Guarracino:
Prior Knowledge in Supervised Classification Models. IJCCI (ICFC-ICNC) 2010: 13-15 - [c17]Danilo Abbate, Roberta De Asmundis, Mario Rosario Guarracino:
Prior Knowledge in the Classification of Biomedical Data. SMPS 2010: 1-8 - [e2]Pasqua D'Ambra, Mario Rosario Guarracino, Domenico Talia:
Euro-Par 2010 - Parallel Processing, 16th International Euro-Par Conference, Ischia, Italy, August 31 - September 3, 2010, Proceedings, Part I. Lecture Notes in Computer Science 6271, Springer 2010, ISBN 978-3-642-15276-4 [contents] - [e1]Pasqua D'Ambra, Mario Rosario Guarracino, Domenico Talia:
Euro-Par 2010 - Parallel Processing, 16th International Euro-Par Conference, Ischia, Italy, August 31 - September 3, 2010, Proceedings, Part II. Lecture Notes in Computer Science 6272, Springer 2010, ISBN 978-3-642-15290-0 [contents]
2000 – 2009
- 2009
- [j7]Mario R. Guarracino, Altannar Chinchuluun, Panos M. Pardalos:
Decision rules for efficient classification of biological data. Optim. Lett. 3(3): 357-366 (2009) - [c16]Mario R. Guarracino, Adriano Nebbia:
Predicting Protein-Protein Interactions with K-Nearest Neighbors Classification Algorithm. CIBB 2009: 139-150 - [r1]Mario R. Guarracino, Salvatore Cuciniello, Davide Feminiano:
Generalized Eigenvalue Proximal Support Vector Machine Problem. Encyclopedia of Optimization 2009: 1183-1185 - 2008
- [j6]Pasqua D'Ambra, Gennaro Della Vecchia, Mario Rosario Guarracino:
Parallel, distributed and network-based processing. J. Syst. Archit. 54(9): 841-842 (2008) - [j5]Mario R. Guarracino, Francesca Perla, Paolo Zanetti:
A sparse nonsymmetric eigensolver for distributed memory architectures. Int. J. Parallel Emergent Distributed Syst. 23(3): 259-270 (2008) - [c15]Mario Rosario Guarracino, Salvatore Cuciniello, Davide Feminiano:
Incremental Learning and Decremented Characterization of Gene Expression Data Analysis. CBMS 2008: 203-208 - [c14]Mario Rosario Guarracino, Altannar Chinchuluun, Panos M. Pardalos:
A Supervised Learning Technique and Its Applications to Computational Biology. CIBB 2008: 275-283 - [c13]Francesco Giannino, Mario Rosario Guarracino, Valeria Marina Monetti, Loredana Randazzo, Gerardo Toraldo:
A Web-based Learning Tool for applied Mathematics Disciplines. Knowledge Construction in E-learning Context 2008 - 2007
- [j4]Claudio Cifarelli, Mario Rosario Guarracino, Onur Seref, Salvatore Cuciniello, Panos M. Pardalos:
Incremental Classification with Generalized Eigenvalues. J. Classif. 24(2): 205-219 (2007) - [j3]Mario R. Guarracino, Salvatore Cuciniello, Davide Feminiano:
Incremental generalized Eigenvalue classification on data streams. Monde des Util. Anal. Données 36: 102-113 (2007) - [j2]Mario Rosario Guarracino, Claudio Cifarelli, Onur Seref, Panos M. Pardalos:
A classification method based on generalized eigenvalue problems. Optim. Methods Softw. 22(1): 73-81 (2007) - [c12]Mario Rosario Guarracino, Salvatore Cuciniello, Davide Feminiano:
A Parallel Classification and Feature Reduction Method for Biomedical Applications. PPAM 2007: 1210-1219 - 2006
- [c11]Mario R. Guarracino, Claudio Cifarelli, Onur Seref, Panos M. Pardalos:
A Parallel Classification Method for Genomic and Proteomic Problems. AINA (2) 2006: 588-592 - 2005
- [c10]Vania Boccia, Mario R. Guarracino:
A Grid Enabled PSE for Medical Imaging: Experiences on MedIGrid. CBMS 2005: 529-536 - [c9]Mario R. Guarracino, Giuliano Laccetti, Almerico Murli:
Application Oriented Brokering in Medical Imaging: Algorithms and Software Architecture. EGC 2005: 972-981 - 2004
- [c8]Francesco Giannino, Mario R. Guarracino, Valeria Marina Monetti, Nunzio Romano, Gerardo Toraldo:
An Adaptable Learning Technology System for Mathematical Models. ICALT 2004 - [c7]Paola Bonetto, Mario R. Guarracino, Fabrizio Inguglia:
Integrating Medical Imaging into a Grid Based Computing Infrastructure. ICCSA (2) 2004: 505-514 - [c6]Luisa D'Amore, Mario R. Guarracino, Giuliano Laccetti, Almerico Murli:
Integrating Scientific Software Libraries in Problem Solving Environments: A Case Study with ScaLAPACK. ICCSA (2) 2004: 515-524 - 2003
- [c5]Mario Bertero, Paola Bonetto, Luisa Carracciuolo, Luisa D'Amore, A. Formiconi, Mario R. Guarracino, Giuliano Laccetti, Almerico Murli, Gennaro Oliva:
MedIGrid: A Medical Imaging Application for Computational Grids. IPDPS 2003: 252 - [c4]Luisa D'Amore, Mario R. Guarracino, Giuliano Laccetti:
On the Parallelization of a Commercial PSE for Scientific Computing. PDP 2003: 441-448 - 2000
- [c3]Mario R. Guarracino, Giuliano Laccetti, Diego Romano:
Browsing Virtual Reality on a PC Cluster. CLUSTER 2000: 201-208 - [c2]Mario R. Guarracino, Giuliano Laccetti, Gennaro Oliva, Umberto Scafuri:
Yabat: An Administration and Monitoring Software for Beowulf Clusters. CLUSTER 2000: 401-402
1990 – 1999
- 1995
- [c1]Mario R. Guarracino, Francesca Perla:
A parallel modified block Lanczos' algorithm for distributed memory architectures. PDP 1995: 424-431 - 1994
- [j1]Mario R. Guarracino, Francesca Perla:
A Parallel Block Lanczos Algorithm for Distributed Memory Architectures. Parallel Algorithms Appl. 4(3-4): 211-221 (1994)
Coauthor Index
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