All Stories

  1. Sentiment analysis of peer feedback in higher education

    Article • January 2024, American Institute of Physics

    Professor Sebastian Ventura, Maricela Pinargote Ortega, Jaime Meza

  2. Artificial intelligence and its impact on the prediction of economic indicators

    Article • September 2020, ACM (Association for Computing Machinery)

    Professor Sebastian Ventura

  3. Trends the use of Artificial Intelligence techniques for peer assessment

    Article • September 2020, ACM (Association for Computing Machinery)

    Professor Sebastian Ventura

  4. Accuracy' Measures of Sentiment Analysis Algorithms for Spanish Corpus generated in Peer Assessment

    Article • September 2020, ACM (Association for Computing Machinery)

    Professor Sebastian Ventura

  5. An evolutionary approach to build ensembles of multi-label classifiers

    Article • Information Fusion, October 2019, Elsevier

    Professor Sebastian Ventura

  6. Subgroup discovery in MOOCs: a big data application for describing different types of learners

    Article • Interactive Learning Environments, July 2019, Taylor & Francis

    Professor Sebastian Ventura

  7. An advanced review on text mining in medicine

    Article • Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, January 2019, Wiley

    Professor Sebastian Ventura

  8. A Grammar-Guided Genetic Programing Algorithm for Associative Classification in Big Data

    Article • Cognitive Computation, January 2019, Springer Science + Business Media

    Professor Sebastian Ventura

  9. Evaluating associative classification algorithms for Big Data

    Article • Big Data Analytics, January 2019, Springer Science + Business Media

    Professor Sebastian Ventura

  10. Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming

    Article • IEEE Transactions on Cybernetics, November 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Sebastian Ventura

  11. Distributed nearest neighbor classification for large-scale multi-label data on spark

    Article • Future Generation Computer Systems, October 2018, Elsevier

    Professor Sebastian Ventura

  12. Interactive multi-objective evolutionary optimization of software architectures

    Article • Information Sciences, October 2018, Elsevier

    Professor Sebastian Ventura

  13. Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data

    Article • IEEE Transactions on Cybernetics, October 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Sebastian Ventura

  14. Evolutionary Strategy to Perform Batch-Mode Active Learning on Multi-Label Data

    Article • ACM Transactions on Intelligent Systems and Technology, July 2018, ACM (Association for Computing Machinery)

    Professor Sebastian Ventura

  15. MIRSVM: Multi-instance support vector machine with bag representatives

    Article • Pattern Recognition, July 2018, Elsevier

    Professor Sebastian Ventura

  16. OLLAWV: OnLine Learning Algorithm using Worst-Violators

    Article • Applied Soft Computing, May 2018, Elsevier

    Professor Sebastian Ventura

  17. Statistical comparisons of active learning strategies over multiple datasets

    Article • Knowledge-Based Systems, April 2018, Elsevier

    Professor Sebastian Ventura

  18. Effective active learning strategy for multi-label learning

    Article • Neurocomputing, January 2018, Elsevier

    Professor Sebastian Ventura

  19. MLDA: A tool for analyzing multi-label datasets

    Article • Knowledge-Based Systems, April 2017, Elsevier

    Professor Sebastian Ventura

  20. Evaluation and comparison of open source software suites for data mining and knowledge discovery

    Article • Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, March 2017, Wiley

    Professor Sebastian Ventura

  21. Exhaustive search algorithms to mine subgroups on Big Data using Apache Spark

    Article • Progress in Artificial Intelligence, January 2017, Springer Science + Business Media

    Professor Sebastian Ventura

  22. Speeding-Up Association Rule Mining With Inverted Index Compression

    Article • IEEE Transactions on Cybernetics, December 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Sebastian Ventura

  23. An ensemble-based approach for multi-view multi-label classification

    Article • Progress in Artificial Intelligence, August 2016, Springer Science + Business Media

    Professor Sebastian Ventura

  24. Discovering useful patterns from multiple instance data

    Article • Information Sciences, August 2016, Elsevier

    Professor Sebastian Ventura

  25. Effective lazy learning algorithm based on a data gravitation model for multi-label learning

    Article • Information Sciences, May 2016, Elsevier

    Professor Sebastian Ventura

  26. LAIM discretization for multi-label data

    Article • Information Sciences, February 2016, Elsevier

    Professor Sebastian Ventura

  27. Multiple Instance Learning

    Article • January 2016, Springer Science + Business Media

    Professor Sebastian Ventura

  28. Pattern Mining with Evolutionary Algorithms

    Article • January 2016, Springer Science + Business Media

    Professor Sebastian Ventura

  29. Early dropout prediction using data mining: a case study with high school students

    Article • Expert Systems, November 2015, Wiley

    Professor Sebastian Ventura

  30. Multi-objective genetic programming for feature extraction and data visualization

    Article • Soft Computing, October 2015, Springer Science + Business Media

    Professor Sebastian Ventura

  31. Scalable extensions of the ReliefF algorithm for weighting and selecting features on the multi-label learning context

    Article • Neurocomputing, August 2015, Elsevier

    Professor Sebastian Ventura

  32. Mining exceptional relationships with grammar-guided genetic programming

    Article • Knowledge and Information Systems, July 2015, Springer Science + Business Media

    Professor Sebastian Ventura

  33. An Extensible JCLEC-based Solution for the Implementation of Multi-Objective Evolutionary Algorithms

    Article • July 2015, ACM (Association for Computing Machinery)

    Professor Sebastian Ventura

  34. An approach for the evolutionary discovery of software architectures

    Article • Information Sciences, June 2015, Elsevier

    Professor Sebastian Ventura

  35. A Tutorial on Multilabel Learning

    Article • ACM Computing Surveys, April 2015, ACM (Association for Computing Machinery)

    Professor Sebastian Ventura

  36. Discovering clues to avoid middle school failure at early stages

    Article • March 2015, ACM (Association for Computing Machinery)

    Professor Sebastian Ventura

  37. J. A. Larusson, B. White (eds): Learning Analytics: From Research to Practice

    Article • Technology Knowledge and Learning, January 2015, Springer Science + Business Media

    Professor Sebastian Ventura

  38. Synthesis of In-Place Iterative Sorting Algorithms Using GP: A Comparison Between STGP, SFGP, G3P and GE

    Article • January 2015, Springer Science + Business Media

    Professor Sebastian Ventura

  39. On the Use of Genetic Programming for Mining Comprehensible Rules in Subgroup Discovery

    Article • IEEE Transactions on Cybernetics, December 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Sebastian Ventura

  40. An evolutionary algorithm for the discovery of rare class association rules in learning management systems

    Article • Applied Intelligence, November 2014, Springer Science + Business Media

    Professor Sebastian Ventura

  41. Parallelization strategies for markerless human motion capture

    Article • Journal of Real-Time Image Processing, November 2014, Springer Science + Business Media

    Professor Sebastian Ventura

  42. Multi-label learning: a review of the state of the art and ongoing research

    Article • Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, November 2014, Wiley

    Professor Sebastian Ventura

  43. Swarm-based metaheuristics in automatic programming: a survey

    Article • Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, October 2014, Wiley

    Professor Sebastian Ventura

  44. ur-CAIM: improved CAIM discretization for unbalanced and balanced data

    Article • Soft Computing, October 2014, Springer Science + Business Media

    Professor Sebastian Ventura

  45. Special issue: Advances in learning schemes for function approximation

    Article • Neurocomputing, July 2014, Elsevier

    Prof. Dr. Ajith Abraham, Professor Sebastian Ventura

  46. Evolutionary feature weighting to improve the performance of multi-label lazy algorithms

    Article • Integrated Computer-Aided Engineering, May 2014, IOS Press

    Professor Sebastian Ventura

  47. Speeding up multiple instance learning classification rules on GPUs

    Article • Knowledge and Information Systems, May 2014, Springer Science + Business Media

    Professor Sebastian Ventura

  48. Scalable CAIM discretization on multiple GPUs using concurrent kernels

    Article • The Journal of Supercomputing, March 2014, Springer Science + Business Media

    Professor Sebastian Ventura

  49. Parallel evaluation of Pittsburgh rule-based classifiers on GPUs

    Article • Neurocomputing, February 2014, Elsevier

    Professor Sebastian Ventura

  50. Classification Rule Mining with Iterated Greedy

    Article • January 2014, Springer Science + Business Media

    Professor Sebastian Ventura

  51. GPU-parallel subtree interpreter for genetic programming

    Article • January 2014, ACM (Association for Computing Machinery)

    Professor Sebastian Ventura

  52. On the performance of multiple objective evolutionary algorithms for software architecture discovery

    Article • January 2014, ACM (Association for Computing Machinery)

    Professor Sebastian Ventura

  53. Impact of HbA1c Measurement on Hospital Readmission Rates: Analysis of 70,000 Clinical Database Patient Records

    Article • BioMed Research International, January 2014, Hindawi Publishing Corporation

    Professor Sebastian Ventura

  54. Weighted Data Gravitation Classification for Standard and Imbalanced Data

    Article • IEEE Transactions on Cybernetics, December 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Sebastian Ventura

  55. A Survey on Pre-Processing Educational Data

    Article • November 2013, Springer Science + Business Media

    Professor Sebastian Ventura

  56. Predicting students' final performance from participation in on-line discussion forums

    Article • Computers & Education, October 2013, Elsevier

    Professor Sebastian Ventura

  57. An interpretable classification rule mining algorithm

    Article • Information Sciences, August 2013, Elsevier

    Professor Sebastian Ventura

  58. On the use of ant programming for mining rare association rules

    Article • August 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Sebastian Ventura

  59. A novel component identification approach using evolutionary programming

    Article • July 2013, ACM (Association for Computing Machinery)

    Professor Sebastian Ventura

  60. Grammar-based multi-objective algorithms for mining association rules

    Article • Data & Knowledge Engineering, July 2013, Elsevier

    Professor Sebastian Ventura

  61. Parallel multi-objective Ant Programming for classification using GPUs

    Article • Journal of Parallel and Distributed Computing, June 2013, Elsevier

    Professor Sebastian Ventura

  62. Mining association rules with single and multi-objective grammar guided ant programming

    Article • Integrated Computer-Aided Engineering, May 2013, IOS Press

    Professor Sebastian Ventura

  63. High performance evaluation of evolutionary-mined association rules on GPUs

    Article • The Journal of Supercomputing, April 2013, Springer Science + Business Media

    Professor Sebastian Ventura

  64. On the adaptability of G3PARM to the extraction of rare association rules

    Article • Knowledge and Information Systems, February 2013, Springer Science + Business Media

    Professor Sebastian Ventura

  65. HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning

    Article • Information Sciences, February 2013, Elsevier

    Professor Sebastian Ventura

  66. Predicting School Failure and Dropout by Using Data Mining Techniques

    Article • IEEE Revista Iberoamericana de Tecnologias del Aprendizaje, February 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Sebastian Ventura

  67. Discovering Subgroups by Means of Genetic Programming

    Article • January 2013, Springer Science + Business Media

    Professor Sebastian Ventura

  68. ReliefF-ML: An Extension of ReliefF Algorithm to Multi-label Learning

    Article • January 2013, Springer Science + Business Media

    Professor Sebastian Ventura

  69. A Grammar-Guided Genetic Programming Algorithm for Multi-Label Classification

    Article • January 2013, Springer Science + Business Media

    Professor Sebastian Ventura

  70. Data mining in education

    Article • Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, December 2012, Wiley

    Professor Sebastian Ventura

  71. Construcción de cursos hipermedia adaptativos basados en web utilizando AHA

    Article • RIED Revista Iberoamericana de Educación a Distancia, November 2012, UNED - Universidad Nacional de Educacion a Distancia

    Professor Sebastian Ventura

  72. Aplicación de Algoritmos Evolutivos como Técnica de Minería de Datos para la Mejora de Cursos Hipermedia Adaptativos basados en Web

    Article • RIED Revista Iberoamericana de Educación a Distancia, November 2012, UNED - Universidad Nacional de Educacion a Distancia

    Professor Sebastian Ventura

  73. VisualJCLEC: A visual framework for evolutionary computation

    Article • November 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Sebastian Ventura

  74. Binary and multiclass imbalanced classification using multi-objective ant programming

    Article • November 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Sebastian Ventura

  75. Learning similarity metric to improve the performance of lazy multi-label ranking algorithms

    Article • November 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Sebastian Ventura

  76. A genetic programming free-parameter algorithm for mining association rules

    Article • November 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Sebastian Ventura

  77. Genetic Programming - New Approaches and Successful Applications

    Article • October 2012, IntechOpen

    Professor Sebastian Ventura

  78. DRAL: a tool for discovering relevant e-activities for learners

    Article • Knowledge and Information Systems, September 2012, Springer Science + Business Media

    Professor Sebastian Ventura

  79. Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data

    Article • Applied Intelligence, August 2012, Springer Science + Business Media

    Professor Sebastian Ventura

  80. Multi-instance genetic programming for predicting student performance in web based educational environments

    Article • Applied Soft Computing, August 2012, Elsevier

    Professor Sebastian Ventura

  81. Association rule mining using genetic programming to provide feedback to instructors from multiple-choice quiz data

    Article • Expert Systems, July 2012, Wiley

    Professor Sebastian Ventura

  82. Classification rule mining using ant programming guided by grammar with multiple Pareto fronts

    Article • Soft Computing, July 2012, Springer Science + Business Media

    Professor Sebastian Ventura

  83. ReliefF-MI: An extension of ReliefF to multiple instance learning

    Article • Neurocomputing, January 2012, Elsevier

    Professor Sebastian Ventura

  84. Multi-Objective Ant Programming for Mining Classification Rules

    Article • January 2012, Springer Science + Business Media

    Professor Sebastian Ventura

  85. Multi-objective approach based on grammar-guided genetic programming for solving multiple instance problems

    Article • Soft Computing, December 2011, Springer Science + Business Media

    Professor Sebastian Ventura

  86. Using Ant Programming Guided by Grammar for Building Rule-Based Classifiers

    Article • IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), December 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Sebastian Ventura

  87. An EP algorithm for learning highly interpretable classifiers

    Article • November 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Sebastian Ventura

  88. Multiple instance learning for classifying students in learning management systems

    Article • Expert Systems with Applications, November 2011, Elsevier

    Professor Sebastian Ventura

  89. Association rule mining using a multi-objective grammar-based ant programming algorithm

    Article • November 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Sebastian Ventura

  90. Self-evaluation first ECTS course in a programming subject

    Article • October 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Sebastian Ventura

  91. Mining and representing rare association rules through the use of genetic programming

    Article • October 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Sebastian Ventura

  92. An evaluation of the effectiveness of e-learning system as support for traditional classes

    Article • October 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Sebastian Ventura

  93. RM-Tool: A framework for discovering and evaluating association rules

    Article • Advances in Engineering Software, August 2011, Elsevier

    Professor Sebastian Ventura

  94. Design and behavior study of a grammar-guided genetic programming algorithm for mining association rules

    Article • Knowledge and Information Systems, June 2011, Springer Science + Business Media

    Professor Sebastian Ventura

  95. Speeding up the evaluation phase of GP classification algorithms on GPUs

    Article • Soft Computing, May 2011, Springer Science + Business Media

    Professor Sebastian Ventura

  96. A collaborative educational association rule mining tool

    Article • The Internet and Higher Education, March 2011, Elsevier

    Professor Sebastian Ventura

  97. Preface to the special issue on data mining for personalised educational systems

    Article • User Modeling and User-Adapted Interaction, February 2011, Springer Science + Business Media

    Professor Sebastian Ventura

  98. A Parallel Genetic Programming Algorithm for Classification

    Article • January 2011, Springer Science + Business Media

    Professor Sebastian Ventura

  99. Multiple Instance Learning with Multiple Objective Genetic Programming for Web Mining

    Article • Applied Soft Computing, January 2011, Elsevier

    Professor Sebastian Ventura

  100. G3P-MI: A genetic programming algorithm for multiple instance learning

    Article • Information Sciences, December 2010, Elsevier

    Professor Sebastian Ventura

  101. A TDIDT technique for multi-label classification

    Article • November 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Sebastian Ventura

  102. Feature selection is the ReliefF for multiple instance learning

    Article • November 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Sebastian Ventura

  103. Educational Data Mining: A Review of the State of the Art

    Article • IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews), November 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Sebastian Ventura

  104. An intruder detection approach based on infrequent rating pattern mining

    Article • November 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Sebastian Ventura

  105. A grammar based Ant Programming algorithm for mining classification rules

    Article • July 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Sebastian Ventura

  106. G3PARM: A Grammar Guided Genetic Programming algorithm for mining association rules

    Article • July 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Sebastian Ventura

  107. Web usage mining for predicting final marks of students that use Moodle courses

    Article • Computer Applications in Engineering Education, June 2010, Wiley

    Professor Sebastian Ventura

  108. A Survey on the Application of Genetic Programming to Classification

    Article • IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews), March 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Sebastian Ventura

  109. Reducing Dimensionality in Multiple Instance Learning with a Filter Method

    Article • January 2010, Springer Science + Business Media

    Professor Sebastian Ventura

  110. Web Usage Mining for Improving Students Performance in Learning Management Systems

    Article • January 2010, Springer Science + Business Media

    Professor Sebastian Ventura

  111. Solving Classification Problems Using Genetic Programming Algorithms on GPUs

    Article • January 2010, Springer Science + Business Media

    Professor Sebastian Ventura

  112. Evolving Multi-label Classification Rules with Gene Expression Programming: A Preliminary Study

    Article • January 2010, Springer Science + Business Media

    Professor Sebastian Ventura

  113. Grammar guided genetic programming for multiple instance learning

    Article • January 2010, ACM (Association for Computing Machinery)

    Professor Sebastian Ventura

  114. An Automatic Programming ACO-Based Algorithm for Classification Rule Mining

    Article • January 2010, Springer Science + Business Media

    Professor Sebastian Ventura

  115. Using mobile and web-based computerized tests to evaluate university students

    Article • Computer Applications in Engineering Education, December 2009, Wiley

    Professor Sebastian Ventura

  116. Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems

    Article • Computers & Education, November 2009, Elsevier

    Professor Sebastian Ventura

  117. Multi-instance genetic programming for web index recommendation

    Article • Expert Systems with Applications, November 2009, Elsevier

    Professor Sebastian Ventura

  118. A Comparison of Multi-objective Grammar-Guided Genetic Programming Methods to Multiple Instance Learning

    Article • January 2009, Springer Science + Business Media

    Professor Sebastian Ventura

  119. Evaluating Web Based Instructional Models Using Association Rule Mining

    Article • January 2009, Springer Science + Business Media

    Professor Sebastian Ventura

  120. Multiple Instance Learning with MultiObjective Genetic Programming for Web Mining

    Article • September 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Sebastian Ventura

  121. Data mining in course management systems: Moodle case study and tutorial

    Article • Computers & Education, August 2008, Elsevier

    Professor Sebastian Ventura

  122. An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering

    Article • User Modeling and User-Adapted Interaction, July 2008, Springer Science + Business Media

    Professor Sebastian Ventura

  123. JCLEC: a Java framework for evolutionary computation

    Article • Soft Computing, April 2007, Springer Science + Business Media

    Professor Sebastian Ventura

  124. Authoring and Management Tools for Adaptive Educational Hypermedia Systems: The AHA! Case Study

    Article • January 2007, Springer Science + Business Media

    Professor Sebastian Ventura

  125. Personalized Links Recommendation Based on Data Mining in Adaptive Educational Hypermedia Systems

    Article • January 2007, Springer Science + Business Media

    Professor Sebastian Ventura

  126. Selection of Logical Operators for Inducing Comprehensible Knowledge

    Article • INTELIGENCIA ARTIFICIAL, December 2006, Asociacion Española para la Inteligencia Artificial (AEPIA)

    Professor Sebastian Ventura

  127. Web-based adaptive training simulator system for cardiac life support

    Article • Artificial Intelligence in Medicine, September 2006, Elsevier

    Professor Sebastian Ventura

  128. Using Rules Discovery for the Continuous Improvement of e-Learning Courses

    Article • January 2006, Springer Science + Business Media

    Professor Sebastian Ventura

  129. An Authoring Tool for Building Both Mobile Adaptable Tests and Web-Based Adaptive or Classic Tests

    Article • January 2006, Springer Science + Business Media

    Professor Sebastian Ventura

  130. Application of Crossover Operators Based on Confidence Interval in Modeling Problems Using Real-Coding Genetic Algorithms

    Article • January 2004, Springer Science + Business Media

    Professor Sebastian Ventura

  131. Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors

    Article • User Modeling and User-Adapted Interaction, January 2004, Springer Science + Business Media

    Professor Sebastian Ventura

  132. Discovering Prediction Rules in AHA! Courses

    Article • January 2003, Springer Science + Business Media

    Professor Sebastian Ventura

  133. Multicomponent Kinetic Determinations Using Artificial Neural Networks

    Article • Analytical Chemistry, December 1995, American Chemical Society (ACS)

    Professor Sebastian Ventura

  134. Artificial Neural Networks for Estimation of Kinetic Analytical Parameters

    Article • Analytical Chemistry, May 1995, American Chemical Society (ACS)

    Professor Sebastian Ventura

  135. Stopped-flow chemiluminescence spectrometry to improve the determination of pencillins based on the luminol-iodine reaction

    Article • Analytica Chimica Acta, September 1992, Elsevier

    Professor Sebastian Ventura

  136. Ant Programming Algorithms for Classification

    Article • IGI Global

    Professor Sebastian Ventura

  137. Multi-objective Genetic Programming for Multiple Instance Learning

    Article • Springer Science + Business Media

    Professor Sebastian Ventura