Stop the war!Остановите войну!
for scientists:
Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDMario Cannataro
Person information
- affiliation: Magna Græcia University of Catanzaro, Department of Medical and Surgical Sciences, Italy
- affiliation: National Research Council, Italy
- affiliation: University of Calabria, Rende, Italy
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j65]Marianna Milano
, Chiara Zucco, Marzia Settino, Mario Cannataro:
An Extensive Assessment of Network Embedding in PPI Network Alignment. Entropy 24(5): 730 (2022)- [c169]Chiara Zucco, Barbara Calabrese, Rossana Mancuso, Miriam Sturniolo, Antonio Gambardella, Mario Cannataro:
Resting-State EEG Classification for PNES Diagnosis. ICCS (1) 2022: 526-538 - [c168]Ileana Scarpino, Rosarina Vallelunga, Francesco Luzza, Mario Cannataro:
Machine Learning Approaches in Inflammatory Bowel Disease. ICCS (1) 2022: 539-545 - [c167]Giuseppe Agapito, Mario Cannataro:
A parallel software pipeline to select relevant genes for pathway enrichment. PDP 2022: 219-225 - 2021
- [j64]Mario Cannataro, Andrew Harrison:
Bioinformatics helping to mitigate the impact of COVID-19 - Editorial. Briefings Bioinform. 22(2): 613-615 (2021) - [j63]Marzia Settino, Mario Cannataro:
MMRFBiolinks: an R-package for integrating and analyzing MMRF-CoMMpass data. Briefings Bioinform. 22(5) (2021) - [j62]Giuseppe Agapito, Mario Cannataro:
Using BioPAX-Parser (BiP) to enrich lists of genes or proteins with pathway data. BMC Bioinform. 22-S(13): 376 (2021) - [j61]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Parallel and distributed association rule mining in life science: A novel parallel algorithm to mine genomics data. Inf. Sci. 575: 747-761 (2021) - [j60]Marzia Settino, Mariamena Arbitrio, Francesca Scionti, Daniele Caracciolo, Giuseppe Agapito, Pierfrancesco Tassone, Pierosandro Tagliaferri, Maria Teresa Di Martino, Mario Cannataro:
Identifying prognostic markers for multiple myeloma through integration and analysis of MMRF-CoMMpass data. J. Comput. Sci. 51: 101346 (2021) - [j59]Marianna Milano, Chiara Zucco, Mario Cannataro:
COVID-19 Community Temporal Visualizer: a new methodology for the network-based analysis and visualization of COVID-19 data. Netw. Model. Anal. Health Informatics Bioinform. 10(1): 46 (2021) - [c166]Rossana Mancuso, Marzia Settino, Mario Cannataro:
Data mining for electroencephalogram signal processing and analysis. BCB 2021: 81:1-81:10 - [c165]Ileana Scarpino, Chiara Zucco, Mario Cannataro:
Characterization of Long COVID using text mining on narrative medicine texts. BIBM 2021: 2022-2027 - [c164]Ileana Scarpino, Chiara Zucco, Mario Cannataro:
A Software Pipeline Based on Sentiment Analysis to Analyze Narrative Medicine Texts. ICCS (2) 2021: 587-593 - [c163]Giuseppe Agapito, Mario Cannataro:
snpStorage: a database to store and share experimental SNPs data sets. SEBD 2021: 48-58 - [c162]Marianna Milano, Mario Cannataro:
A novel network-based methodology for analysis of COVID-19 data. SEBD 2021: 168-175 - [c161]Chiara Zucco, Barbara Calabrese, Miriam Sturniolo, Antonio Gambardella, Mario Cannataro:
A software pipeline for pre-processing and mining EEG signals: application in neurology (Discussion Paper). SEBD 2021: 307-314 - [c160]Chiara Zucco, Clarissa Paglia, Sonia Graziano, Sergio Bella, Mario Cannataro:
Sentiment Analysis of medical questionnaires to improve adherence to telemonitoring programs (Discussion Paper). SEBD 2021: 323-330 - 2020
- [j58]Giuseppe Agapito, Chiara Pastrello, Pietro Hiram Guzzi, Igor Jurisica, Mario Cannataro:
BioPAX-Parser: parsing and enrichment analysis of BioPAX pathways. Bioinform. 36(15): 4377-4378 (2020) - [j57]Chiara Zucco, Clarissa Paglia, Sonia Graziano, Sergio Bella, Mario Cannataro:
Sentiment Analysis and Text Mining of Questionnaires to Support Telemonitoring Programs. Inf. 11(12): 550 (2020) - [j56]Marianna Milano, Wayne B. Hayes, Pierangelo Veltri, Mario Cannataro, Pietro Hiram Guzzi:
SL-GLAlign: improving local alignment of biological networks through simulated annealing. Netw. Model. Anal. Health Informatics Bioinform. 9(1): 10 (2020) - [j55]Giuseppe Varone, Sara Gasparini, Edoardo Ferlazzo, Michele Ascoli, Giovanbattista Gaspare Tripodi, Chiara Zucco, Barbara Calabrese, Mario Cannataro, Umberto Aguglia:
A Comprehensive Machine-Learning-Based Software Pipeline to Classify EEG Signals: A Case Study on PNES vs. Control Subjects. Sensors 20(4): 1235 (2020) - [j54]Giuseppe Agapito, Mario Cannataro:
cPEA: a parallel method to perform pathway enrichment analysis using multiple pathways databases. Soft Comput. 24(23): 17561-17572 (2020) - [j53]Chiara Zucco, Barbara Calabrese, Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Sentiment analysis for mining texts and social networks data: Methods and tools. WIREs Data Mining Knowl. Discov. 10(1) (2020) - [c159]Giuseppe Agapito, Mario Cannataro:
Using BioPAX-Parser (BiP) to Annotate Lists of Biological Entities with Pathway Data. ER (Workshops) 2020: 92-101 - [c158]Giuseppe Agapito, Marianna Milano, Mario Cannataro:
A New Parallel Methodology for the Network Analysis of COVID-19 Data. Euro-Par Workshops 2020: 333-343 - [c157]Marzia Settino, Mariamena Arbitrio, Francesca Scionti, Daniele Caracciolo, Maria Teresa Di Martino, Pierosandro Tagliaferri, Pierfrancesco Tassone, Mario Cannataro:
MMRF-CoMMpass Data Integration and Analysis for Identifying Prognostic Markers. ICCS (3) 2020: 564-571 - [c156]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
An efficient and scalable SPARK preprocessing methodology for Genome Wide Association Studies. PDP 2020: 369-375
2010 – 2019
- 2019
- [j52]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Parallel extraction of association rules from genomics data. Appl. Math. Comput. 350: 434-446 (2019) - [j51]Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Using multiple network alignment for studying connectomes. Netw. Model. Anal. Health Informatics Bioinform. 8(1): 5 (2019) - [j50]Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Network building and analysis in connectomics studies: a review of algorithms, databases and technologies. Netw. Model. Anal. Health Informatics Bioinform. 8(1): 13 (2019) - [c155]Giuseppe Agapito, Barbara Calabrese, Pietro Hiram Guzzi, Mario Cannataro:
A pipeline for mining association rules from large datasets of retailers invoices. APPIS 2019: 6:1-6:6 - [c154]Giuseppe Agapito, Wes Lloyd, Mario Cannataro:
ParBio'19 - 8th Workshop on Parallel and Cloud-based Bioinformatics and Biomedicine. BCB 2019: 652 - [c153]Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Towards Local Alignment of Multiple Networks: Multi-GLAlign. BCB 2019: 658-662 - [c152]Rodrigo Crespo-Cepeda, Giuseppe Agapito, José Luis Vázquez-Poletti, Mario Cannataro:
Challenges and Opportunities of Amazon Serverless Lambda Services in Bioinformatics. BCB 2019: 663-668 - [c151]Marzia Settino, Anna Bernasconi, Gaia Ceddia, Giuseppe Agapito, Marco Masseroli, Mario Cannataro:
Using GMQL-Web for Querying, Downloading and Integrating Public with Private Genomic Datasets. BCB 2019: 688-693 - [c150]Giuseppe Agapito, Barbara Calabrese, Pietro Hiram Guzzi, Sabrina Graziano, Mario Cannataro:
Association Rule Mining from large datasets of clinical invoices document. BIBM 2019: 2232-2238 - [c149]Giuseppe Agapito, Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Mining Association Rules From Disease Ontology. BIBM 2019: 2239-2243 - [c148]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Pathway Analysis for SNP microarray data. BIBM 2019: 2244-2250 - [c147]Chiara Zucco, Barbara Calabrese, Mario Cannataro:
Emotion Mining: from Unimodal to Multimodal Approaches. BrainComp 2019: 143-158 - [c146]Giuseppe Agapito, Mario Cannataro, Pietro H. Guzzi, Marianna Milano:
Learning Weighted Association Rules in Human Phenotype Ontology. CIBB 2019: 245-256 - [c145]Giuseppe Agapito, Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano:
Parallel Learning of Weighted Association Rules in Human Phenotype Ontology. Euro-Par Workshops 2019: 549-559 - [c144]Giuseppe Agapito, Mario Cannataro:
A Parallel Software Platform for Pathway Enrichment. NUMTA(1) 2019: 215-222 - [r5]Mario Cannataro:
Big Data Analysis in Bioinformatics. Encyclopedia of Big Data Technologies 2019 - [r4]Mario Cannataro, Giuseppe Agapito:
Computing for Bioinformatics. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 160-175 - 2018
- [j49]Giuseppe Agapito, Mariadelina Simeoni, Barbara Calabrese, Ilaria Care, Theodora Lamprinoudi, Pietro Hiram Guzzi, Arturo Pujia, Giorgio Fuiano, Mario Cannataro:
DIETOS: A dietary recommender system for chronic diseases monitoring and management. Comput. Methods Programs Biomed. 153: 93-104 (2018) - [j48]Giuseppe Agapito, Mario Cannataro, Mauro Castelli, Riccardo Dondi, Italo Zoppis:
Editorial of the Special Issue of the 10th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC 2017. Comput. 7(1): 17 (2018) - [j47]Marianna Milano, Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
An experimental study of information content measurement of gene ontology terms. Int. J. Mach. Learn. Cybern. 9(3): 427-439 (2018) - [c143]Giuseppe Agapito, Mario Cannataro:
Services4SNPs: A RESTful Platform for Association Rule Mining and Survival Analysis of Genotyping Data. BCB 2018: 517 - [c142]Marianna Milano, Wayne B. Hayes, Pierangelo Veltri, Mario Cannataro, Pietro Hiram Guzzi:
SL-GLAlign: Improving the Local Alignment of Biological Networks through Simulated Annealing. BCB 2018: 577-578 - [c141]Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
HetNetAligner: A Novel Algorithm for Local Alignment of Heterogeneous Biological Networks. BCB 2018: 598-599 - [c140]Valentina Falvo, Mariagrazia Scalise, Francesco Lupia, Pierfrancesco Casella, Mario Cannataro:
A Cooperative Vehicle Routing Platform for Logistic Management in Healthcare. BCB 2018: 689-692 - [c139]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
S4S: RESTful Services to Collect, Integrate and Analyze SNPs and Clinical Data on the Web. BIBM 2018: 1686-1692 - [c138]Marzia Settino, Mario Cannataro:
Survey of main tools for querying and analyzing TCGA Data. BIBM 2018: 1711-1718 - [c137]Chiara Zucco, Sergio Bella, Clarissa Paglia, Paola Tabarini, Mario Cannataro:
Predicting Abandonment in Telehomecare Programs Using Sentiment Analysis: A System Proposal. BIBM 2018: 1734-1739 - [c136]Chiara Zucco, Huizhi Liang, Giuseppe Di Fatta, Mario Cannataro:
Explainable Sentiment Analysis with Applications in Medicine. BIBM 2018: 1740-1747 - [c135]Marianna Milano, Pierangelo Veltri, Mario Cannataro, Pietro Hiram Guzzi:
Towards Heterogeneous Network Alignment: Design and Implementation of a Large-Scale Data Processing Framework. Euro-Par Workshops 2018: 692-703 - [c134]Giuseppe Tradigo, Patrizia Vizza, Pasquale Lambardi, Silvio Cosoleto, Pietro Hiram Guzzi, Mario Cannataro, Aldo Quattrone, Pierangelo Veltri:
VOTA - A Vocal Tract and Training Analysis Tool. ICHI 2018: 403-404 - [i4]Pietro Hiram Guzzi, Marianna Milano, Pierangelo Veltri, Mario Cannataro:
HetNetAligner: Design and Implementation of an algorithm for heterogeneous network alignment on Apache Spark. CoRR abs/1806.03845 (2018) - 2017
- [j46]Marianna Milano, Pietro Hiram Guzzi, Olga Tymofiyeva, Duan Xu, Christopher P. Hess, Pierangelo Veltri, Mario Cannataro:
An extensive assessment of network alignment algorithms for comparison of brain connectomes. BMC Bioinform. 18(6): 31-45 (2017) - [c133]Mario Cannataro, John A. Springer:
ParBio'17: 6th Workshop on Parallel and Cloud-based Bioinformatics and Biomedicine. BCB 2017: 722 - [c132]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Using GenotypeAnalytics to Analyze Pharmacogenomic Datasets. BCB 2017: 740-743 - [c131]Giuseppe Agapito, Mario Cannataro:
A software pipeline for multiple microarray data analysis. BIBM 2017: 1941-1944 - [c130]Chiara Zucco, Barbara Calabrese, Mario Cannataro:
Sentiment analysis and affective computing for depression monitoring. BIBM 2017: 1988-1995 - [c129]Pietro Hiram Guzzi, Mario Cannataro, Pierangelo Veltri:
Using Graphs to Relate Patient's Clinical and Geographical Data. FNC/MobiSPC 2017: 448-452 - [c128]Giuseppe Agapito, Mario Cannataro, Mauro Castelli, Riccardo Dondi, Italo Zoppis:
10th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC2017. ICCS 2017: 1113-1114 - [c127]Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Using Multi Network Alignment for Analysis of Connectomes. ICCS 2017: 1155-1164 - [c126]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
High Performance Analysis of Omics Data: Experiences at University Magna Graecia of Catanzaro. HPCS 2017: 929-932 - [c125]Giuseppe Agapito, Barbara Calabrese, Pietro Hiram Guzzi, Gionata Fragomeni, Giuseppe Tradigo, Pierangelo Veltri, Mario Cannataro:
Parallel and Cloud-Based Analysis of Omics Data: Modelling and Simulation in Medicine. PDP 2017: 519-526 - [c124]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Learning Association Rules for Pharmacogenomic Studies. NFMCP@PKDD/ECML 2017: 1-15 - [c123]Giuseppe Agapito, Mariadelina Simeoni, Barbara Calabrese, Pietro Hiram Guzzi, Giorgio Fuiano, Mario Cannataro:
DIETOS: A Recommender System for Health Profiling and Diet Management in Chronic Diseases. HealthRecSys@RecSys 2017: 32-35 - [c122]Pietro Cinaglia, Pierangelo Veltri, Mario Cannataro:
eMiRo: an ontology-based system for clinical data integration and analysis. SEBD 2017: 310 - [c121]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Parallel and Distributed Analysis of Microarray Data. TopHPC 2017: 275-288 - [i3]Pietro Hiram Guzzi, Giuseppe Agapito, Marianna Milano, Mario Cannataro:
Learning Weighted Association Rules in Human Phenotype Ontology. CoRR abs/1701.00077 (2017) - [i2]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
GenotypeAnalytics: a RESTFul platform to mine multiple associations between SNPs and drug response in case-control studies. PeerJ Prepr. 5: e3299 (2017) - 2016
- [j45]Pietro Hiram Guzzi, Giuseppe Agapito, Marianna Milano, Mario Cannataro:
Methodologies and experimental platforms for generating and analysing microarray and mass spectrometry-based omics data to support P4 medicine. Briefings Bioinform. 17(4): 553-561 (2016) - [j44]Giuseppe Agapito, Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Extracting Cross-Ontology Weighted Association Rules from Gene Ontology Annotations. IEEE ACM Trans. Comput. Biol. Bioinform. 13(2): 197-208 (2016) - [c120]Marianna Milano, Olga Tymofiyeva, Duan Xu, Christopher P. Hess, Mario Cannataro, Pietro Hiram Guzzi:
Using Network Alignment for Analysis of Connectomes: Experiences from a Clinical Dataset. BCB 2016: 649-656 - [c119]Marianna Milano, Mario Cannataro, Pietro Hiram Guzzi:
GLAlign: Using global graph alignment to improve local graph alignment. BIBM 2016: 1695-1702 - [c118]Stefano Beretta, Mario Cannataro, Mauro Castelli:
9th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC2016. ICCS 2016: 962-964 - [c117]F. Ciullo, Chiara Zucco, Barbara Calabrese, Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Computational challenges for sentiment analysis in life sciences. HPCS 2016: 419-426 - [c116]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Efficient Data Mining Analysis of Genomics and Clinical Data for Pharmacogenomics Applications. WILF 2016: 239-248 - [c115]Giuseppe Agapito, Barbara Calabrese, Pietro Hiram Guzzi, Mario Cannataro, Mariadelina Simeoni, Ilaria Care, Theodora Lamprinoudi, Giorgio Fuiano, Arturo Pujia:
DIETOS: A recommender system for adaptive diet monitoring and personalized food suggestion. WiMob 2016: 1-8 - 2015
- [j43]Giuseppe Agapito, Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano:
Using GO-WAR for mining cross-ontology weighted association rules. Comput. Methods Programs Biomed. 120(2): 113-122 (2015) - [j42]Pietro Hiram Guzzi, Maria Teresa Di Martino, Pierosandro Tagliaferri, Pierfrancesco Tassone, Mario Cannataro:
Analysis of miRNA, mRNA, and TF interactions through network-based methods. EURASIP J. Bioinform. Syst. Biol. 2015: 4 (2015) - [j41]Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
DMET-Miner: Efficient discovery of association rules from pharmacogenomic data. J. Biomed. Informatics 56: 273-283 (2015) - [j40]Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano:
GoD: An R-package based on ontologies for prioritization of genes with respect to diseases. J. Comput. Sci. 9: 7-13 (2015) - [j39]Pietro Hiram Guzzi, Marianna Milano, Pierangelo Veltri, Mario Cannataro:
Using SSN-Analyzer for analysis of semantic similarity networks. Netw. Model. Anal. Health Informatics Bioinform. 4(1): 6 (2015) - [j38]Barbara Calabrese, Mario Cannataro:
Cloud Computing in Healthcare and Biomedicine. Scalable Comput. Pract. Exp. 16(1) (2015) - [c114]Giuseppe Agapito, Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Efficient learning of association rules from human phenotype ontology. BCB 2015: 568-573 - [c113]Giuseppe Agapito, Pietro Hiram Guzzi, C. Botta, Mariamena Arbitrio, Pierfrancesco Tassone, Pierosandro Tagliaferri, Mario Cannataro:
Overall Survival Analyzer: A software tool to analyze genotyping and clinical data enriched with temporal events. BIBM 2015: 1427-1433 - [c112]Alexander Luke Spedding, Giuseppe Di Fatta, Mario Cannataro:
A Genetic Algorithm for the selection of structural MRI features for classification of Mild Cognitive Impairment and Alzheimer's Disease. BIBM 2015: 1566-1571 - [c111]Barbara Calabrese, Mario Cannataro:
Sentiment Analysis and Affective Computing: Methods and Applications. BrainComp 2015: 169-178 - [c110]Domenico Mirarchi, Patrizia Vizza, Mario Cannataro, Pietro Hiram Guzzi, Giuseppe Tradigo, Pierangelo Veltri:
ICT Solutions for Health Education Model. CBMS 2015: 31-32 - [c109]Stefano Beretta, Mario Cannataro, Riccardo Dondi:
8th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC2015. ICCS 2015: 680-682 - [c108]Barbara Calabrese, Mario Cannataro, Nicola Ielpo:
Using Social Networks Data for Behavior and Sentiment Analysis. IDCS 2015: 285-293 - [c107]Horacio Pérez Sánchez, Afshin Fassihi, José M. Cecilia, Hesham H. Ali, Mario Cannataro:
Applications of High Performance Computing in Bioinformatics, Computational Biology and Computational Chemistry. IWBBIO (2) 2015: 527-541 - 2014
- [j37]Pietro Hiram Guzzi, Giuseppe Agapito, Mario Cannataro:
coreSNP: Parallel Processing of Microarray Data. IEEE Trans. Computers 63(12): 2961-2974 (2014) - [c106]Marianna Milano, Pietro Hiram Guzzi, Pierangelo Veltri, Mario Cannataro:
A web-based tool to analyze semantic similarity networks. BCB 2014: 612-613 - [c105]Mario Cannataro, Pietro Hiram Guzzi:
A taxonomy for bioinformatics tools: exploiting semantics, parallelism, and services for analyzing omics data. BCB 2014: 805-812 - [c104]Giuseppe Agapito, Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro:
Improving annotation quality in gene ontology by mining cross-ontology weighted association rules. BIBM 2014: 1-8 - [c103]Marianna Milano, Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro:
Biases in information content measurement of gene ontology terms. BIBM 2014: 9-16 - [c102]Pietro Hiram Guzzi, Giuseppe Agapito, Maria Teresa Di Martino, Mariamena Arbitrio, Pierfrancesco Tassone, Pierosandro Tagliaferri, Mario Cannataro:
DMET-miner: Efficient learning of association rules from genotyping data for personalized medicine. BIBM 2014: 59-62 - [c101]Alessia Sarica, Giuseppe Di Fatta, Mario Cannataro:
K-Surfer: A KNIME Extension for the Management and Analysis of Human Brain MRI FreeSurfer/FSL Data. Brain Informatics and Health 2014: 481-492 - [c100]Nicola Ielpo, Barbara Calabrese, Mario Cannataro, Arrigo Palumbo, S. Ciliberti, C. Grillo, Maurizio Iocco:
EMG-Miner: Automatic Acquisition and Processing of Electromyographic Signals: First Experimentation in a Clinical Context for Gait Disorders Evaluation. CBMS 2014: 441-446 - [c99]Giuseppe Agapito, Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano:
GO-WAR: A Tool for Mining Weighted Association Rules from Gene Ontology Annotations. CIBB 2014: 3-18 - [c98]Giuseppe Agapito, Barbara Calabrese, Ilaria Care, Daniela Falcone, Pietro Hiram Guzzi, Nicola Ielpo, Theodora Lamprinoudi, Marianna Milano, Mariadelina Simeoni, Mario Cannataro:
Profiling basic health information of tourists: towards a recommendation system for the adaptive delivery of medical certified nutrition contents. HPCS 2014: 616-620 - [c97]Pietro Hiram Guzzi, Marianna Milano, Mario Cannataro:
Mining Association Rules from Gene Ontology and Protein Networks: Promises and Challenges. ICCS 2014: 1970-1980 - [c96]Giovanni Canino, Mario Cannataro, Pietro Hiram Guzzi, Giuseppe Tradigo, Pierangelo Veltri:
Relating Clinical Diagnosis and Biological Analytes via EMRs Clustering. ICHI 2014: 328-333 - [c95]Giovanni Canino, Mario Cannataro, Pietro Hiram Guzzi, Giuseppe Tradigo, Pierangelo Veltri:
Geoanalysis of Clinical Diagnoses and Biological Analytes Data. SEBD 2014: 53-60 - [e8]Dieter an Mey, Michael Alexander, Paolo Bientinesi, Mario Cannataro, Carsten Clauss, Alexandru Costan, Gabor Kecskemeti, Christine Morin, Laura Ricci, Julio Sahuquillo, Martin Schulz, Vittorio Scarano, Stephen L. Scott, Josef Weidendorfer:
Euro-Par 2013: Parallel Processing Workshops - BigDataCloud, DIHC, FedICI, HeteroPar, HiBB, LSDVE, MHPC, OMHI, PADABS, PROPER, Resilience, ROME, and UCHPC 2013, Aachen, Germany, August 26-27, 2013. Revised Selected Papers. Lecture Notes in Computer Science 8374, Springer 2014, ISBN 978-3-642-54419-4 [contents] - [e7]Luís M. B. Lopes, Julius Zilinskas, Alexandru Costan, Roberto G. Cascella, Gabor Kecskemeti, Emmanuel Jeannot, Mario Cannataro, Laura Ricci, Siegfried Benkner, Salvador Petit, Vittorio Scarano, José Gracia, Sascha Hunold, Stephen L. Scott, Stefan Lankes, Christian Lengauer, Jesús Carretero, Jens Breitbart, Michael Alexander:
Euro-Par 2014: Parallel Processing Workshops - Euro-Par 2014 International Workshops, Porto, Portugal, August 25-26, 2014, Revised Selected Papers, Part I. Lecture Notes in Computer Science 8805, Springer 2014, ISBN 978-3-319-14324-8 [contents] - [e6]Luís M. B. Lopes, Julius Zilinskas, Alexandru Costan, Roberto G. Cascella, Gabor Kecskemeti, Emmanuel Jeannot, Mario Cannataro, Laura Ricci, Siegfried Benkner, Salvador Petit, Vittorio Scarano, José Gracia, Sascha Hunold, Stephen L. Scott, Stefan Lankes, Christian Lengauer, Jesús Carretero, Jens Breitbart, Michael Alexander:
Euro-Par 2014: Parallel Processing Workshops - Euro-Par 2014 International Workshops, Porto, Portugal, August 25-26, 2014, Revised Selected Papers, Part II. Lecture Notes in Computer Science 8806, Springer 2014, ISBN 978-3-319-14312-5 [contents] - [i1]