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Sebastian Ventura
Bronze Contributor
7,410 Points

Contributions by role

Editor 7,410

Contributions by subject area

Data Mining and Machine Learning
Emerging Technologies
Mobile and Ubiquitous Computing
World Wide Web and Web Science
Software Engineering
Natural Language and Speech
Spatial and Geographic Information Systems
Data Science
Digital Libraries
Social Computing
Computer Networks and Communications
Security and Privacy
Bioinformatics
Computational Biology
Algorithms and Analysis of Algorithms
Artificial Intelligence
Databases
Computational Linguistics
Distributed and Parallel Computing
Scientific Computing and Simulation
Graphics
Computer Vision
Optimization Theory and Computation
Human-Computer Interaction
Computer Education
Theory and Formal Methods
Network Science and Online Social Networks
Neural Networks
Visual Analytics
Computer Architecture
Multimedia
Embedded Computing
Bronze Contributor

Sebastian Ventura

PeerJ Editor

Summary

Sebastián Ventura is professor of Computing Science and Artificial Intelligence at the University of Córdoba. His teaching is devoted to computer programming, machine learning and data mining in undergraduate and graduate studies. His research labor is developed as head 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

Section Editor

Data Handling and Mining

Editorial Board Member

PeerJ Computer Science

Work details

Full Professor

University of Cordoba
Department of Computer Science and Numerical Analysis

Websites

  • ResearcherID
  • Google Scholar

PeerJ Contributions

  • Edited 47

Academic Editor on

January 10, 2023
Persistent homology classification algorithm
Mark Lexter D. De Lara
https://doi.org/10.7717/peerj-cs.1195
April 22, 2022
Multi-label emotion classification of Urdu tweets
Noman Ashraf, Lal Khan, Sabur Butt, Hsien-Tsung Chang, Grigori Sidorov, Alexander Gelbukh
https://doi.org/10.7717/peerj-cs.896
March 15, 2022
Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms
Muhammad Zaid Naeem, Furqan Rustam, Arif Mehmood, Mui-zzud-din, Imran Ashraf, Gyu Sang Choi
https://doi.org/10.7717/peerj-cs.914
March 7, 2022
Negation and uncertainty detection in clinical texts written in Spanish: a deep learning-based approach
Oswaldo Solarte Pabón, Orlando Montenegro, Maria Torrente, Alejandro Rodríguez González, Mariano Provencio, Ernestina Menasalvas
https://doi.org/10.7717/peerj-cs.913
January 20, 2022
DNN-based multi-output model for predicting soccer team tactics
Geon Ju Lee, Jason J. Jung
https://doi.org/10.7717/peerj-cs.853
October 8, 2021
Abusive language detection in youtube comments leveraging replies as conversational context
Noman Ashraf, Arkaitz Zubiaga, Alexander Gelbukh
https://doi.org/10.7717/peerj-cs.742
September 28, 2021
Deepening into the suitability of using pre-trained models of ImageNet against a lightweight convolutional neural network in medical imaging: an experimental study
Laith Alzubaidi, Ye Duan, Ayad Al-Dujaili, Ibraheem Kasim Ibraheem, Ahmed H. Alkenani, Jose Santamaría, Mohammed A. Fadhel, Omran Al-Shamma, Jinglan Zhang
https://doi.org/10.7717/peerj-cs.715
September 8, 2021
A review of travel and arrival-time prediction methods on road networks: classification, challenges and opportunities
Asad Abdi, Chintan Amrit
https://doi.org/10.7717/peerj-cs.689
August 31, 2021
Sensitivity of deep learning applied to spatial image steganalysis
Reinel Tabares-Soto, Harold Brayan Arteaga-Arteaga, Alejandro Mora-Rubio, Mario Alejandro Bravo-Ortíz, Daniel Arias-Garzón, Jesús Alejandro Alzate-Grisales, Simon Orozco-Arias, Gustavo Isaza, Raúl Ramos-Pollán
https://doi.org/10.7717/peerj-cs.616
August 31, 2021
Ultrasonic based concrete defects identification via wavelet packet transform and GA-BP neural network
Tianyu Hu, Jinhui Zhao, Ruifang Zheng, Pengfeng Wang, Xiaolu Li, Qichun Zhang
https://doi.org/10.7717/peerj-cs.635
August 24, 2021
Derivative-free optimization adversarial attacks for graph convolutional networks
Runze Yang, Teng Long
https://doi.org/10.7717/peerj-cs.693
July 22, 2021
Diagnosis of vertebral column pathologies using concatenated resampling with machine learning algorithms
Aijaz Ahmad Reshi, Imran Ashraf, Furqan Rustam, Hina Fatima Shahzad, Arif Mehmood, Gyu Sang Choi
https://doi.org/10.7717/peerj-cs.547
June 18, 2021
Selective oversampling approach for strongly imbalanced data
Peter Gnip, Liberios Vokorokos, Peter Drotár
https://doi.org/10.7717/peerj-cs.604
June 3, 2021
Multi skin lesions classification using fine-tuning and data-augmentation applying NASNet
Elia Cano, José Mendoza-Avilés, Mariana Areiza, Noemi Guerra, José Longino Mendoza-Valdés, Carlos A. Rovetto
https://doi.org/10.7717/peerj-cs.371
May 27, 2021
Distribution-preserving data augmentation
Nurdan Ayse Saran, Murat Saran, Fatih Nar
https://doi.org/10.7717/peerj-cs.571
May 3, 2021
Semi-supervised oblique predictive clustering trees
Tomaž Stepišnik, Dragi Kocev
https://doi.org/10.7717/peerj-cs.506
April 27, 2021
DISGROU: an algorithm for discontinuous subgroup discovery
Reynald Eugenie, Erick Stattner
https://doi.org/10.7717/peerj-cs.512
April 14, 2021
Knowledge distillation in deep learning and its applications
Abdolmaged Alkhulaifi, Fahad Alsahli, Irfan Ahmad
https://doi.org/10.7717/peerj-cs.474
April 14, 2021
Artificial intelligence approaches and mechanisms for big data analytics: a systematic study
Amir Masoud Rahmani, Elham Azhir, Saqib Ali, Mokhtar Mohammadi, Omed Hassan Ahmed, Marwan Yassin Ghafour, Sarkar Hasan Ahmed, Mehdi Hosseinzadeh
https://doi.org/10.7717/peerj-cs.488
March 4, 2021
Classifier uncertainty: evidence, potential impact, and probabilistic treatment
Niklas Tötsch, Daniel Hoffmann
https://doi.org/10.7717/peerj-cs.398
February 5, 2021
A supervised scheme for aspect extraction in sentiment analysis using the hybrid feature set of word dependency relations and lemmas
Bhavana R. Bhamare, Jeyanthi Prabhu
https://doi.org/10.7717/peerj-cs.347
December 7, 2020
Error curves for evaluating the quality of feature rankings
Ivica Slavkov, Matej Petković, Pierre Geurts, Dragi Kocev, Sašo Džeroski
https://doi.org/10.7717/peerj-cs.310
November 16, 2020
Effects of data count and image scaling on Deep Learning training
Daisuke Hirahara, Eichi Takaya, Taro Takahara, Takuya Ueda
https://doi.org/10.7717/peerj-cs.312
November 16, 2020
Immersive virtual environments and embodied agents for e-learning applications
Isabel S. Fitton, Daniel J. Finnegan, Michael J. Proulx
https://doi.org/10.7717/peerj-cs.315
October 19, 2020
A multi-task pipeline with specialized streams for classification and segmentation of infection manifestations in COVID-19 scans
Shimaa El-bana, Ahmad Al-Kabbany, Maha Sharkas
https://doi.org/10.7717/peerj-cs.303
June 1, 2020
Enhancement of conformational B-cell epitope prediction using CluSMOTE
Binti Solihah, Azhari Azhari, Aina Musdholifah
https://doi.org/10.7717/peerj-cs.275
May 25, 2020
Adaptations of data mining methodologies: a systematic literature review
Veronika Plotnikova, Marlon Dumas, Fredrik Milani
https://doi.org/10.7717/peerj-cs.267
March 2, 2020
An approach for semantic integration of heterogeneous data sources
Giuseppe Fusco, Lerina Aversano
https://doi.org/10.7717/peerj-cs.254
January 27, 2020
Beyond the topics: how deep learning can improve the discriminability of probabilistic topic modelling
Noura Al Moubayed, Stephen McGough, Bashar Awwad Shiekh Hasan
https://doi.org/10.7717/peerj-cs.252
January 20, 2020
RIdeogram: drawing SVG graphics to visualize and map genome-wide data on the idiograms
Zhaodong Hao, Dekang Lv, Ying Ge, Jisen Shi, Dolf Weijers, Guangchuang Yu, Jinhui Chen
https://doi.org/10.7717/peerj-cs.251
December 16, 2019
Machine learning of symbolic compositional rules with genetic programming: dissonance treatment in Palestrina
Torsten Anders, Benjamin Inden
https://doi.org/10.7717/peerj-cs.244
November 18, 2019
Improving rule-based classification using Harmony Search
Hesam Hasanpour, Ramak Ghavamizadeh Meibodi, Keivan Navi
https://doi.org/10.7717/peerj-cs.188
November 18, 2019
A unified approach for cluster-wise and general noise rejection approaches for k-means clustering
Seiki Ubukata
https://doi.org/10.7717/peerj-cs.238
February 4, 2019
Software engineering principles to improve quality and performance of R software
Seth Russell, Tellen D. Bennett, Debashis Ghosh
https://doi.org/10.7717/peerj-cs.175
July 23, 2018
Combining active learning suggestions
Alasdair Tran, Cheng Soon Ong, Christian Wolf
https://doi.org/10.7717/peerj-cs.157
May 14, 2018
Supervised deep learning embeddings for the prediction of cervical cancer diagnosis
Kelwin Fernandes, Davide Chicco, Jaime S. Cardoso, Jessica Fernandes
https://doi.org/10.7717/peerj-cs.154
April 2, 2018
Interval Coded Scoring: a toolbox for interpretable scoring systems
Lieven Billiet, Sabine Van Huffel, Vanya Van Belle
https://doi.org/10.7717/peerj-cs.150
November 6, 2017
DANNP: an efficient artificial neural network pruning tool
Mona Alshahrani, Othman Soufan, Arturo Magana-Mora, Vladimir B. Bajic
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
Albert Krewinkel, Robert Winkler
https://doi.org/10.7717/peerj-cs.112
April 24, 2017
Interoperability and FAIRness through a novel combination of Web technologies
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
https://doi.org/10.7717/peerj-cs.110
December 19, 2016
A PCA-based bio-motion generator to synthesize new patterns of human running
José María Baydal-Bertomeu, Juan Vicente Durá-Gil, Ana Piérola-Orcero, Eduardo Parrilla Bernabé, Alfredo Ballester, Sandra Alemany-Munt
https://doi.org/10.7717/peerj-cs.102
June 13, 2016
Fuzzy based binary feature profiling for modus operandi analysis
Mahawaga Arachchige Pathum Chamikara, Akalanka Galappaththi, Roshan Dharshana Yapa, Ruwan Dharshana Nawarathna, Saluka Ranasinghe Kodituwakku, Jagath Gunatilake, Aththanapola Arachchilage Chathranee Anumitha Jayathilake, Liwan Liyanage
https://doi.org/10.7717/peerj-cs.65
March 30, 2016
PhilDB: the time series database with built-in change logging
Andrew MacDonald
https://doi.org/10.7717/peerj-cs.52
February 24, 2016
Computational drug repositioning based on side-effects mined from social media
Timothy Nugent, Vassilis Plachouras, Jochen L. Leidner
https://doi.org/10.7717/peerj-cs.46
October 7, 2015
Mining known attack patterns from security-related events
Nicandro Scarabeo, Benjamin C.M. Fung, Rashid H. Khokhar
https://doi.org/10.7717/peerj-cs.25
August 5, 2015
A survey of Chinese interpreting studies: who influences who …and why?
Ziyun Xu, Leonid B. Pekelis
https://doi.org/10.7717/peerj-cs.14
July 29, 2015
MLitB: machine learning in the browser
Edward Meeds, Remco Hendriks, Said Al Faraby, Magiel Bruntink, Max Welling
https://doi.org/10.7717/peerj-cs.11