Mario Cannataro

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 118

Top Venues

BIBM

BCB

Netw. Model. Anal. Health Informatics Bioinform.

PDP

Publications

Ilaria Lazzaro, Marianna Milano, Mario Cannataro
A Pipeline for the Analysis of Multilayer Brain Networks. ICCS (6) (2024)
Luca Barillaro, Marianna Milano, Maria Eugenia Caligiuri, Jelle R. Dalenberg, Giuseppe Agapito, Michael Biehl, Mario Cannataro
A Graph-Theory Based fMRI Analysis. ICCS (6) (2024)
Maria Chiara Martinis, Chiara Zucco, Mario Cannataro
Negation Detection in Medical Texts. ICCS (4) (2024)
Marianna Milano, Ilaria Lazzaro, Mario Cannataro
Multilayer Networks: A Survey on Models, Analysis of Algorithms and Database. IWBBIO (1) (2024)
Giuseppe Agapito, Gaetano Guardasole, Mario Cannataro
Efficient GPU Processing Method to Analyze Large GWAS Data Sets. PDP (2024)
Gessica Fulciniti, Abdellah Kabli, Mario Cannataro, Gaetano Guardasole, Giuseppe Agapito
Artificial Intelligence to Analyze Huge Amounts of Juridical Documents via Edge Computing. EWSN (2023)
Roberto Marangoni, Vitoantonio Bevilacqua, Mario Cannataro, Bruno Hay Mele, Giancarlo Mauri, Anna Marabotti
An overview of bioinformatics courses delivered at the academic level in Italy: Reflections and recommendations from BITS. PLoS Comput. Biol. 19 (2) (2023)
Marianna Milano, Mario Cannataro
Network models in bioinformatics: modeling and analysis for complex diseases. Briefings Bioinform. 24 (2) (2023)
Marianna Milano, Pietro Cinaglia, Pietro Hiram Guzzi, Mario Cannataro
MuLaN: a MultiLayer Networks Alignment Algorithm. CoRR (2023)
Pietro Cinaglia, Mario Cannataro
MultiGlobAl: Global alignment of multilayer networks. SoftwareX 24 (2023)
Lorella Bottino, Mario Cannataro
Explanation of machine learning models for predicting obesity level using Shapley values. BIBM (2023)
Luca Barillaro, Giuseppe Agapito, Mario Cannataro
Using Edge-based Deep Learning Model for Early Detection of Cancer. PDP (2023)
Luca Barillaro, Giuseppe Agapito, Mario Cannataro
High performance deep learning libraries for biomedical applications. PDP (2023)
Maria Chiara Martinis, Ileana Scarpino, Chiara Zucco, Mario Cannataro
Investigating the Sentiment in Italian Long-COVID Narrations. ICCS (2) (2023)
Olga Valenzuela, Mario Cannataro, Irena Rusur, Jianxin Wang, Zhongming Zhao, Ignacio Rojas
Advances and challenges in Bioinformatics and Biomedical Engineering: IWBBIO 2020. BMC Bioinform. (1) (2023)
Giuseppe Agapito, Mario Cannataro, Pietro Cinaglia, Gaetano Guardasole, Marianna Milano
Use Predictive Learning Model to Tackle Data Breaches in Healthcare Domain. BIBM (2023)
Pietro Cinaglia, José Luis Vázquez-Poletti, Mario Cannataro
Massive Parallel Alignment of RNA-seq Reads in Serverless Computing. Big Data Cogn. Comput. 7 (2) (2023)
Mohammad Mehdi Hosseinzadeh, Mario Cannataro, Pietro Hiram Guzzi, Riccardo Dondi
Temporal networks in biology and medicine: a survey on models, algorithms, and tools. Netw. Model. Anal. Health Informatics Bioinform. 12 (1) (2023)
Giuseppe Agapito, Mario Cannataro
An Overview on the Challenges and Limitations Using Cloud Computing in Healthcare Corporations. Big Data Cogn. Comput. 7 (2) (2023)
Lorella Bottino, Marzia Settino, Mario Cannataro
Distributed ICT solutions for scoliosis management. PDP (2023)
Pietro Cinaglia, Mario Cannataro
A method for modelling and executing customized pipelines in serverless computing. BIBM (2023)
Pietro Cinaglia, Mario Cannataro
A Method Based on Temporal Embedding for the Pairwise Alignment of Dynamic Networks. Entropy 25 (4) (2023)
Pietro Cinaglia, Mario Cannataro
Identifying Candidate Gene-Disease Associations via Graph Neural Networks. Entropy 25 (6) (2023)
Pietro Cinaglia, Marianna Milano, Mario Cannataro
Multilayer network alignment based on topological assessment via embeddings. BMC Bioinform. 24 (1) (2023)
Pietro Cinaglia, Mario Cannataro
Network alignment and motif discovery in dynamic networks. Netw. Model. Anal. Health Informatics Bioinform. 11 (1) (2022)
Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro
Design and Implementation of a New Local Alignment Algorithm for Multilayer Networks. Entropy 24 (9) (2022)
Pietro Cinaglia, José Luis Vázquez-Poletti, Mario Cannataro
Serverless computing for RNA-Seq data analysis. BIBM (2022)
Luca Barillaro, Giuseppe Agapito, Mario Cannataro
Scalable deep learning for healthcare: methods and applications. BCB (2022)
Pietro Cinaglia, Mario Cannataro
Alignment of Dynamic Networks based on Temporal Embeddings. BIBM (2022)
Giuseppe Agapito, Marianna Milano, Mario Cannataro
A statistical network pre-processing method to improve relevance and significance of gene lists in microarray gene expression studies. BMC Bioinform. (6) (2022)
Maria Chiara Martinis, Chiara Zucco, Mario Cannataro
An Italian lexicon-based sentiment analysis approach for medical applications. BCB (2022)
Pietro Cinaglia, Mario Cannataro
Forecasting COVID-19 Epidemic Trends by Combining a Neural Network with Rt Estimation. Entropy 24 (7) (2022)
Chiara Zucco, Barbara Calabrese, Rossana Mancuso, Miriam Sturniolo, Antonio Gambardella, Mario Cannataro
Resting-State EEG Classification for PNES Diagnosis. ICCS (1) (2022)
Lorella Bottino, Marzia Settino, Mario Cannataro
Scoliosis management through apps. BCB (2022)
Ileana Scarpino, Rosarina Vallelunga, Francesco Luzza, Mario Cannataro
Machine Learning Approaches in Inflammatory Bowel Disease. ICCS (1) (2022)
Giuseppe Agapito, Mario Cannataro
A parallel software pipeline to select relevant genes for pathway enrichment. PDP (2022)
Griffin M. Weber, Chuan Hong, Zongqi Xia, Nathan P. Palmer, Paul Avillach, Sehi L'Yi, Mark S. Keller, Shawn N. Murphy, Alba Gutiérrez-Sacristán, Clara-Lea Bonzel, Arnaud Serret-Larmande, Antoine Neuraz, Gilbert S. Omenn, Shyam Visweswaran, Jeffrey G. Klann, Andrew M. South, Ne-Hooi Will Loh, Mario Cannataro, Brett K. Beaulieu-Jones, Riccardo Bellazzi, Giuseppe Agapito, Mario Alessiani, Bruce J. Aronow, Douglas S. Bell, Vincent Benoit, Florence T. Bourgeois, Luca Chiovato, Kelly Cho, Arianna Dagliati, Scott L. DuVall, Noelia García-Barrio, David A. Hanauer, Yuk-Lam Ho, John H. Holmes, Richard W. Issitt, Molei Liu, Yuan Luo, Kristine E. Lynch, Sarah Maidlow, Alberto Malovini, Kenneth D. Mandl, Chengsheng Mao, Michael E. Matheny, Jason H. Moore, Jeffrey S. Morris, Michele Morris, Danielle L. Mowery, Kee Yuan Ngiam, Lav P. Patel, Miguel Pedrera-Jiménez, Rachel B. Ramoni, Emily Schriver, Petra Schubert, Pablo Serrano-Balazote, Anastasia Spiridou, Amelia L. M. Tan, Byorn W. L. Tan, Valentina Tibollo, Carlo Torti, Enrico M. Trecarichi, Xuan Wang, James R. Aaron, Adem Albayrak, Giuseppe Albi, Anna Alloni, Danilo F. Amendola, François Angoulvant, Anthony L. L. J. Li, Fatima Ashraf, Andrew Atz, Paul Avillach, Paula S. Azevedo, James Balshi, Brett K. Beaulieu-Jones, Antonio Bellasi, Vincent Benoit, Michele Beraghi, José Luis Bernal-Sobrino, Mélodie Bernaux, Romain Bey, Surbhi Bhatnagar, Alvar Javier Blanco-Martínez, Martin Boeker, John Booth, Silvano Bosari, Robert L. Bradford, Gabriel A. Brat, Stéphane Bréant, Nicholas W. Brown, Raffaele Bruno, William A. Bryant, Mauro Bucalo, Emily Bucholz, Anita Burgun, Tianxi Cai, Aldo Carmona, Charlotte Caucheteux, Julien Champ, Krista Y. Chen, Jin Chen, Lorenzo Chiudinelli, Kelly Cho, James J. Cimino, Tiago K. Colicchio, Sylvie Cormont, Sébastien Cossin, Jean B. Craig, Juan Luis Cruz-Bermúdez, Jaime Cruz-Rojo, Mohamad Daniar, Christel Daniel, Priyam Das, Batsal Devkota, Audrey Dionne, Rui Duan, Julien Dubiel, Loic Esteve, Hossein Estiri, Shirley Fan, Robert W. Follett, Thomas Ganslandt, Noelia García-Barrio, Lana X. Garmire, Nils Gehlenborg, Emily J. Getzen, Alon Geva, Tobias Gradinger, Alexandre Gramfort, Romain Griffier, Nicolas Griffon, Olivier Grisel, Alba Gutiérrez-Sacristán, Larry Han, David A. Hanauer, Christian Haverkamp, Derek Y. Hazard, Bing He, Darren W. Henderson, Martin Hilka, Kenneth M. Huling, Meghan R. Hutch, Richard W. Issitt, Anne-Sophie Jannot, Vianney Jouhet, Ramakanth Kavuluru, Chris J. Kennedy, Kate F. Kernan, Daniel A. Key, Katie Kirchoff, Jeffrey G. Klann, Isaac S. Kohane, Ian D. Krantz, Detlef Kraska, Ashok K. Krishnamurthy, Trang T. Le, Judith Leblanc, Guillaume Lemaitre, Leslie Lenert, Damien Leprovost, Molei Liu, Qi Long, Sara Lozano-Zahonero, Sadiqa Mahmood, Sarah Maidlow, Adeline Makoudjou, Anupama Maram, Patricia Martel, Marcelo R. Martins, Jayson S. Marwaha, Aaron J. Masino, Maria Mazzitelli, Arthur Mensch, Marianna Milano, Marcos F. Minicucci, Bertrand Moal, Taha Mohseni Ahooyi, Jason H. Moore, Cinta Moraleda, Jeffrey S. Morris, Karyn L. Moshal, Sajad Mousavi, Douglas A. Murad, Shawn N. Murphy, Thomas Naughton, Carlos Tadeu Breda Neto, Jane Newburger, Kee Yuan Ngiam, Wanjiku F. M. Njoroge, James B. Norman, Jihad Obeid, Marina P. Okoshi, Karen L. Olson, Gilbert S. Omenn, Nina Orlova, Brian Ostasiewski, Nathan P. Palmer, Nicolas Paris, Lav P. Patel, Miguel Pedrera-Jiménez, Ashley C. Pfaff, Emily R. Pfaff, Danielle Pillion, Sara Pizzimenti, Hans-Ulrich Prokosch, Robson A. Prudente, Andrea Prunotto, Víctor Quirós-González, Rachel B. Ramoni, Maryna Raskin, Siegbert Rieg, Gustavo Roig-Domínguez, Pablo Rojo, Paula Rubio-Mayo, Paolo Sacchi, Carlos Sáez, Elisa Salamanca, Malarkodi Jebathilagam Samayamuthu, L. Nelson Sanchez-Pinto, Arnaud Sandrin, Nandhini Santhanam, Janaina C. C. Santos, Fernando J. Sanz Vidorreta, Maria Savino, Jürgen Schüttler, Luigia Scudeller, Neil J. Sebire, Pablo Serrano-Balazote, Patricia Serre, Arnaud Serret-Larmande, Mohsin Shah, Zahra Shakeri Hossein Abad, Domenick Silvio, Piotr Sliz, Jiyeon Son, Charles Sonday, Andrew M. South, Francesca Sperotto, Zachary H. Strasser, Amelia L. M. Tan, Bryce W. Q. Tan, Suzana E. Tanni, Deanne M. Taylor, Ana I. Terriza-Torres, Patric Tippmann, Emma M. S. Toh, Yi-Ju Tseng, Andrew K. Vallejos, Gaël Varoquaux, Margaret E. Vella, Guillaume Verdy, Jill-Jênn Vie, Shyam Visweswaran, Michele Vitacca, Kavishwar B. Wagholikar, Lemuel R. Waitman, Demian Wassermann, Griffin M. Weber, Martin Wolkewitz, Scott Wong, Zongqi Xia, Xin Xiong, Ye Ye, Nadir Yehya, William Yuan, Alberto Zambelli, Harrison G. Zhang, Daniela Zöller, Valentina Zuccaro, Chiara Zucco, Isaac S. Kohane, Tianxi Cai, Gabriel A. Brat
International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality. npj Digit. Medicine 5 (2022)
Luca Barillaro, Giuseppe Agapito, Mario Cannataro
Edge-based Deep Learning in Medicine: Classification of ECG signals. BIBM (2022)
Marianna Milano, Chiara Zucco, Marzia Settino, Mario Cannataro
An Extensive Assessment of Network Embedding in PPI Network Alignment. Entropy 24 (5) (2022)
Giuseppe Agapito, Marianna Milano, Mario Cannataro
Parallel Network Analysis and Communities Detection (PANC) Pipeline for the Analysis and Visualization of COVID-19 Data. Parallel Process. Lett. 32 (1&2) (2022)
Pietro Cinaglia, Mario Cannataro
A Flexible Automated Pipeline Engine for Transcript-Level Quantification from RNA-seq. ER (Workshops) (2022)
Ileana Scarpino, Chiara Zucco, Mario Cannataro
Characterization of Long COVID using text mining on narrative medicine texts. BIBM (2021)
Marzia Settino, Mario Cannataro
MMRFBiolinks: an R-package for integrating and analyzing MMRF-CoMMpass data. Briefings Bioinform. 22 (5) (2021)
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 (2021)
Giuseppe Agapito, Mario Cannataro
Using BioPAX-Parser (BiP) to enrich lists of genes or proteins with pathway data. BMC Bioinform. (13) (2021)
Marianna Milano, Mario Cannataro
A novel network-based methodology for analysis of COVID-19 data. SEBD (2021)
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 (2021)
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)
Mario Cannataro, Andrew Harrison
Bioinformatics helping to mitigate the impact of COVID-19 - Editorial. Briefings Bioinform. 22 (2) (2021)
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) (2021)
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)
Giuseppe Agapito, Mario Cannataro
snpStorage: a database to store and share experimental SNPs data sets. SEBD (2021)
Rossana Mancuso, Marzia Settino, Mario Cannataro
Data mining for electroencephalogram signal processing and analysis. BCB (2021)
Ileana Scarpino, Chiara Zucco, Mario Cannataro
A Software Pipeline Based on Sentiment Analysis to Analyze Narrative Medicine Texts. ICCS (2) (2021)
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)
Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro
An efficient and scalable SPARK preprocessing methodology for Genome Wide Association Studies. PDP (2020)
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) (2020)
Giuseppe Agapito, Chiara Pastrello, Pietro Hiram Guzzi, Igor Jurisica, Mario Cannataro
BioPAX-Parser: parsing and enrichment analysis of BioPAX pathways. Bioinform. 36 (15) (2020)
Chiara Zucco, Clarissa Paglia, Sonia Graziano, Sergio Bella, Mario Cannataro
Sentiment Analysis and Text Mining of Questionnaires to Support Telemonitoring Programs. Inf. 11 (12) (2020)
Giuseppe Agapito, Mario Cannataro
cPEA: a parallel method to perform pathway enrichment analysis using multiple pathways databases. Soft Comput. 24 (23) (2020)
Giuseppe Agapito, Mario Cannataro
Using BioPAX-Parser (BiP) to Annotate Lists of Biological Entities with Pathway Data. ER (Workshops) (2020)
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) (2020)
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)
Giuseppe Agapito, Marianna Milano, Mario Cannataro
A New Parallel Methodology for the Network Analysis of COVID-19 Data. Euro-Par Workshops (2020)
Giuseppe Agapito, Barbara Calabrese, Pietro Hiram Guzzi, Mario Cannataro
A pipeline for mining association rules from large datasets of retailers invoices. APPIS (2019)
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)
Giuseppe Agapito, Barbara Calabrese, Pietro Hiram Guzzi, Sabrina Graziano, Mario Cannataro
Association Rule Mining from large datasets of clinical invoices document. BIBM (2019)
Rodrigo Crespo-Cepeda, Giuseppe Agapito, José Luis Vázquez-Poletti, Mario Cannataro
Challenges and Opportunities of Amazon Serverless Lambda Services in Bioinformatics. BCB (2019)
Chiara Zucco, Barbara Calabrese, Mario Cannataro
Emotion Mining: from Unimodal to Multimodal Approaches. BrainComp (2019)
Giuseppe Agapito, Wes Lloyd, Mario Cannataro
ParBio'19 - 8th Workshop on Parallel and Cloud-based Bioinformatics and Biomedicine. BCB (2019)
Giuseppe Agapito, Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano
Parallel Learning of Weighted Association Rules in Human Phenotype Ontology. Euro-Par Workshops (2019)
Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro
GLAlign: A Novel Algorithm for Local Network Alignment. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (6) (2019)
Giuseppe Agapito, Mario Cannataro, Pietro H. Guzzi, Marianna Milano
Learning Weighted Association Rules in Human Phenotype Ontology. CIBB (2019)
Giuseppe Agapito, Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro
Mining Association Rules From Disease Ontology. BIBM (2019)
Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro
Pathway Analysis for SNP microarray data. BIBM (2019)
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) (2019)
Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro
Towards Local Alignment of Multiple Networks: Multi-GLAlign. BCB (2019)
Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro
Parallel extraction of association rules from genomics data. Appl. Math. Comput. 350 (2019)
Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro
Using multiple network alignment for studying connectomes. Netw. Model. Anal. Health Informatics Bioinform. 8 (1) (2019)
Giuseppe Agapito, Mario Cannataro
A Parallel Software Platform for Pathway Enrichment. NUMTA(1) (2019)
Valentina Falvo, Mariagrazia Scalise, Francesco Lupia, Pierfrancesco Casella, Mario Cannataro
A Cooperative Vehicle Routing Platform for Logistic Management in Healthcare. BCB (2018)
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 (2018)
Marzia Settino, Mario Cannataro
Survey of main tools for querying and analyzing TCGA Data. BIBM (2018)
Chiara Zucco, Sergio Bella, Clarissa Paglia, Paola Tabarini, Mario Cannataro
Predicting Abandonment in Telehomecare Programs Using Sentiment Analysis: A System Proposal. BIBM (2018)
Pietro Hiram Guzzi, Marianna Milano, Pierangelo Veltri, Mario Cannataro
HetNetAligner: Design and Implementation of an algorithm for heterogeneous network alignment on Apache Spark. CoRR (2018)
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)
Giuseppe Agapito, Mario Cannataro
Services4SNPs: A RESTful Platform for Association Rule Mining and Survival Analysis of Genotyping Data. BCB (2018)
Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro
S4S: RESTful Services to Collect, Integrate and Analyze SNPs and Clinical Data on the Web. BIBM (2018)
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) (2018)
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) (2018)
Chiara Zucco, Huizhi Liang, Giuseppe Di Fatta, Mario Cannataro
Explainable Sentiment Analysis with Applications in Medicine. BIBM (2018)
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)
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)
Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro
HetNetAligner: A Novel Algorithm for Local Alignment of Heterogeneous Biological Networks. BCB (2018)
Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro
Using GenotypeAnalytics to Analyze Pharmacogenomic Datasets. BCB (2017)
Marianna Milano, Pietro Hiram Guzzi, Olga Tymofiyeva, Duan Xu, Christofer Hess, Pierangelo Veltri, Mario Cannataro
An extensive assessment of network alignment algorithms for comparison of brain connectomes. BMC Bioinform. 18 (6) (2017)
Giuseppe Agapito, Mario Cannataro
A software pipeline for multiple microarray data analysis. BIBM (2017)
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)
Chiara Zucco, Barbara Calabrese, Mario Cannataro
Sentiment analysis and affective computing for depression monitoring. BIBM (2017)
Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro
Parallel and Distributed Analysis of Microarray Data. TopHPC (2017)

Mario Cannataro.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Mario Cannataro