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    Sebastian Ventura
    2,400
    Contribution points 
    (See all users)

    Contributions by role

    Editor 2400

    Contributions by subject area

    Data-Mining-and-Machine-Learning 1600
    Data-Science 1000
    Artificial-Intelligence 600
    Bioinformatics 500
    World-Wide-Web-and-Web-Science 400
    Social-Computing 400
    Computer-Education 300
    Computational-Biology 300
    Databases 300
    Distributed-and-Parallel-Computing 300
    Computational-Linguistics 200
    Natural-Language-and-Speech 200
    Digital-Libraries 200
    Emerging-Technologies 200
    Software-Engineering 200
    Computer-Networks-and-Communications 200
    Algorithms-and-Analysis-of-Algorithms 200
    Scientific-Computing-and-Simulation 200
    Graphics 100
    Human–Computer-Interaction 100
    Computer-Vision 100
    Mobile-and-Ubiquitous-Computing 100
    Optimization-Theory-and-Computation 100
    Multimedia 100
    Data-Mining,-Machine-Learning 100
    Human-Computer-Interaction 100
    Security-and-Privacy 100
    Academic Editor

    Sebastian Ventura

    ORCID: 0000-0003-4216-6378

    Summary

    Sebastián Ventura is professor of Computing Science and Artificial Intelligence at the University of Córdoba. His teaching is devoted to applied programming, machine learning and data mining in undergraduate and graduate studies. His research labor is developed as a member of the "Knowledge Discovery and Intelligent Systems" (KDIS) research group, and it is focused on machine learning, data mining, big data, computational intelligence and its applications.

    Computer Education Data Mining & Machine Learning Data Science

    Work details

    Full Professor

    University of Cordoba
    Department of Computer Science and Numerical Analysis

    Websites

    • ResearcherID
    • Google Scholar
    • Twitter

    PeerJ Contributions

    • Edited 14

    Academic Editor on

    February 4, 2019
    Software engineering principles to improve quality and performance of R software
    83 downloads
    401 views
    Seth Russell, Tellen D. Bennett, Debashis Ghosh
    computer-education
    data-science
    software-engineering
    https://doi.org/10.7717/peerj-cs.175
    July 23, 2018
    Combining active learning suggestions
    157 downloads
    963 views
    Alasdair Tran, Cheng Soon Ong, Christian Wolf
    data-mining-and-machine-learning
    https://doi.org/10.7717/peerj-cs.157
    May 14, 2018
    Supervised deep learning embeddings for the prediction of cervical cancer diagnosis
    2 citations
    916 downloads
    2,475 views
    Kelwin Fernandes, Davide Chicco, Jaime S. Cardoso, Jessica Fernandes
    bioinformatics
    computational-biology
    artificial-intelligence
    data-mining-and-machine-learning
    https://doi.org/10.7717/peerj-cs.154
    April 2, 2018
    Interval Coded Scoring: a toolbox for interpretable scoring systems
    154 downloads
    944 views
    Lieven Billiet, Sabine Van Huffel, Vanya Van Belle
    data-mining-and-machine-learning
    data-science
    optimization-theory-and-computation
    https://doi.org/10.7717/peerj-cs.150
    November 6, 2017
    DANNP: an efficient artificial neural network pruning tool
    3 citations
    645 downloads
    2,059 views
    Mona Alshahrani, Othman Soufan, Arturo Magana-Mora, Vladimir B. Bajic
    algorithms-and-analysis-of-algorithms
    artificial-intelligence
    data-mining-and-machine-learning
    https://doi.org/10.7717/peerj-cs.137
    May 8, 2017
    Formatting Open Science: agilely creating multiple document formats for academic manuscripts with Pandoc Scholar
    2 citations
    1,900 downloads
    6,049 views
    Albert Krewinkel, Robert Winkler
    computer-education
    computer-networks-and-communications
    digital-libraries
    human-computer-interaction
    world-wide-web-and-web-science
    https://doi.org/10.7717/peerj-cs.112
    April 24, 2017
    Interoperability and FAIRness through a novel combination of Web technologies
    8 citations
    792 downloads
    4,284 views
    Mark D. Wilkinson, Ruben Verborgh, Luiz Olavo Bonino da Silva Santos, Tim Clark, Morris A. Swertz, Fleur D.L. Kelpin, Alasdair J.G. Gray, Erik A. Schultes, Erik M. van Mulligen, Paolo Ciccarese, Arnold Kuzniar, Anand Gavai, Mark Thompson, Rajaram Kaliyaperumal, Jerven T. Bolleman, Michel Dumontier
    bioinformatics
    data-science
    databases
    emerging-technologies
    world-wide-web-and-web-science
    https://doi.org/10.7717/peerj-cs.110
    December 19, 2016
    A PCA-based bio-motion generator to synthesize new patterns of human running
    2 citations
    269 downloads
    1,740 views
    José María Baydal-Bertomeu, Juan Vicente Durá-Gil, Ana Piérola-Orcero, Eduardo Parrilla Bernabé, Alfredo Ballester, Sandra Alemany-Munt
    data-mining-and-machine-learning
    graphics
    scientific-computing-and-simulation
    https://doi.org/10.7717/peerj-cs.102
    June 13, 2016
    Fuzzy based binary feature profiling for modus operandi analysis
    519 downloads
    1,813 views
    Mahawaga Arachchige Pathum Chamikara, Akalanka Galappaththi, Roshan Dharshana Yapa, Ruwan Dharshana Nawarathna, Saluka Ranasinghe Kodituwakku, Jagath Gunatilake, Aththanapola Arachchilage Chathranee Anumitha Jayathilake, Liwan Liyanage
    algorithms-and-analysis-of-algorithms
    artificial-intelligence
    data-mining-and-machine-learning
    https://doi.org/10.7717/peerj-cs.65
    March 30, 2016
    PhilDB: the time series database with built-in change logging
    1 citation
    592 downloads
    2,600 views
    Andrew MacDonald
    data-science
    databases
    https://doi.org/10.7717/peerj-cs.52
    February 24, 2016
    Computational drug repositioning based on side-effects mined from social media
    9 citations
    941 downloads
    4,321 views
    Timothy Nugent, Vassilis Plachouras, Jochen L. Leidner
    bioinformatics
    data-mining-and-machine-learning
    computational-biology
    social-computing
    https://doi.org/10.7717/peerj-cs.46
    October 7, 2015
    Mining known attack patterns from security-related events
    6 citations
    1,009 downloads
    2,381 views
    Nicandro Scarabeo, Benjamin C.M. Fung, Rashid H. Khokhar
    computer-networks-and-communications
    data-mining-and-machine-learning
    security-and-privacy
    https://doi.org/10.7717/peerj-cs.25
    August 5, 2015
    A survey of Chinese interpreting studies: who influences who …and why?
    2 citations
    315 downloads
    2,195 views
    Ziyun Xu, Leonid B. Pekelis
    data-mining-and-machine-learning
    data-science
    digital-libraries
    social-computing
    https://doi.org/10.7717/peerj-cs.14
    July 29, 2015
    MLitB: machine learning in the browser
    7 citations
    1,171 downloads
    6,922 views
    Edward Meeds, Remco Hendriks, Said Al Faraby, Magiel Bruntink, Max Welling
    data-mining-and-machine-learning
    emerging-technologies
    mobile-and-ubiquitous-computing
    world-wide-web-and-web-science
    software-engineering
    https://doi.org/10.7717/peerj-cs.11
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