Sebastian Ventura
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Data Mining
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Machine Learning
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Artificial Intelligence
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Computer Science
Sebastian Ventura's Degrees
- PhD Computer Science University of Granada
- Masters Artificial Intelligence University of Granada
- Bachelors Computer Science University of Granada
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(Suggest an Edit or Addition)Sebastian Ventura's Published Works
Published Works
- Educational Data Mining: A Review of the State of the Art (2010) (1756)
- Educational data mining: A survey from 1995 to 2005 (2007) (1491)
- KEEL: a software tool to assess evolutionary algorithms for data mining problems (2008) (1311)
- Data mining in course management systems: Moodle case study and tutorial (2008) (1128)
- Data mining in education (2013) (1026)
- Predicting students' final performance from participation in on-line discussion forums (2013) (519)
- A Survey on the Application of Genetic Programming to Classification (2010) (517)
- Handbook of Educational Data Mining (2010) (430)
- Data Mining Algorithms to Classify Students (2008) (423)
- A Tutorial on Multilabel Learning (2015) (388)
- Impact of HbA1c Measurement on Hospital Readmission Rates: Analysis of 70,000 Clinical Database Patient Records (2014) (290)
- Educational data mining and learning analytics: An updated survey (2020) (287)
- Web usage mining for predicting final marks of students that use Moodle courses (2013) (285)
- Early dropout prediction using data mining: a case study with high school students (2016) (210)
- Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data (2013) (202)
- Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors (2004) (199)
- Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems (2009) (188)
- JCLEC: a Java framework for evolutionary computation (2007) (179)
- Multi‐label learning: a review of the state of the art and ongoing research (2014) (170)
- An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering (2009) (164)
- Scalable extensions of the ReliefF algorithm for weighting and selecting features on the multi-label learning context (2015) (141)
- Classification via Clustering for Predicting Final Marks Based on Student Participation in Forums. (2012) (138)
- A collaborative educational association rule mining tool (2011) (131)
- Predicting School Failure and Dropout by Using Data Mining Techniques (2013) (128)
- Study of the decay φ→π+π−π0 with the KLOE detector (2002) (125)
- Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data (2009) (112)
- Frequent itemset mining: A 25 years review (2019) (111)
- Personalized Links Recommendation Based on Data Mining in Adaptive Educational Hypermedia Systems (2007) (109)
- Multi-target support vector regression via correlation regressor chains (2017) (107)
- Weighted Data Gravitation Classification for Standard and Imbalanced Data (2013) (104)
- Educational data science in massive open online courses (2016) (102)
- Review of ensembles of multi-label classifiers: Models, experimental study and prospects (2018) (99)
- Discovering Prediction Rules in AHA! Courses (2003) (94)
- Mining Rare Association Rules from e-Learning Data (2010) (93)
- Data Mining in E-learning (2006) (93)
- Drawbacks and solutions of applying association rule mining in learning management systems (2008) (82)
- Predicting School Failure Using Data Mining (2011) (77)
- Artificial Neural Networks for Estimation of Kinetic Analytical Parameters (1995) (72)
- Design and behavior study of a grammar-guided genetic programming algorithm for mining association rules (2011) (70)
- Using mobile and web‐based computerized tests to evaluate university students (2009) (69)
- Distributed multi-label feature selection using individual mutual information measures (2020) (68)
- Predicting Student Grades in Learning Management Systems with Multiple Instance Genetic Programming. (2009) (68)
- A Survey on Pre-Processing Educational Data (2014) (67)
- Multiple instance learning for classifying students in learning management systems (2011) (64)
- An interpretable classification rule mining algorithm (2013) (64)
- Association rule mining using genetic programming to provide feedback to instructors from multiple‐choice quiz data (2012) (63)
- Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data (2018) (57)
- An evolutionary algorithm for the discovery of rare class association rules in learning management systems (2015) (55)
- Pattern Mining with Evolutionary Algorithms (2016) (55)
- Speeding up the evaluation phase of GP classification algorithms on GPUs (2012) (55)
- Dysregulation of the splicing machinery is directly associated to aggressiveness of prostate cancer (2020) (54)
- A survey of many-objective optimisation in search-based software engineering (2019) (52)
- ur-CAIM: improved CAIM discretization for unbalanced and balanced data (2016) (52)
- Virtual learning environment to predict withdrawal by leveraging deep learning (2019) (51)
- High performance evaluation of evolutionary-mined association rules on GPUs (2013) (50)
- Mining and Visualizing Visited Trails in Web-Based Educational Systems (2008) (48)
- Effective active learning strategy for multi-label learning (2018) (47)
- Performing Multi-Target Regression via a Parameter Sharing-Based Deep Network (2019) (47)
- On the Use of Genetic Programming for Mining Comprehensible Rules in Subgroup Discovery (2014) (46)
- Predicting literature's early impact with sentiment analysis in Twitter (2020) (46)
- Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm (2014) (45)
- Multi-objective genetic programming for feature extraction and data visualization (2017) (43)
- LAIM discretization for multi-label data (2016) (43)
- Distributed Selection of Continuous Features in Multilabel Classification Using Mutual Information (2020) (42)
- Speeding-Up Association Rule Mining With Inverted Index Compression (2016) (42)
- Multi-instance genetic programming for predicting student performance in web based educational environments (2012) (42)
- Evolutionary feature weighting to improve the performance of multi-label lazy algorithms (2014) (41)
- Multicomponent kinetic determinations using artificial neural networks. (1995) (41)
- Mining association rules on Big Data through MapReduce genetic programming (2017) (40)
- Statistical comparisons of active learning strategies over multiple datasets (2018) (38)
- A meta-learning approach for recommending a subset of white-box classification algorithms for Moodle datasets (2013) (38)
- Distributed nearest neighbor classification for large-scale multi-label data on spark (2018) (37)
- Splicing machinery dysregulation drives glioblastoma development/aggressiveness: oncogenic role of SRSF3 (2020) (36)
- Dysregulation of the Splicing Machinery Is Associated to the Development of Nonalcoholic Fatty Liver Disease. (2019) (36)
- Using Rules Discovery for the Continuous Improvement of e-Learning Courses (2006) (36)
- Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming (2018) (34)
- ReliefF-MI: An extension of ReliefF to multiple instance learning (2012) (33)
- Web-based adaptive training simulator system for cardiac life support (2006) (33)
- G3P-MI: A genetic programming algorithm for multiple instance learning (2010) (33)
- Grammar-based multi-objective algorithms for mining association rules (2013) (33)
- Multiple Instance Learning - Foundations and Algorithms (2016) (32)
- Multiple Instance Learning (2016) (31)
- Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study (2020) (31)
- Supervised Descriptive Pattern Mining (2018) (30)
- Meta-learning Approach for Automatic Parameter Tuning: A case of study with educational datasets (2012) (29)
- JCLAL: A Java Framework for Active Learning (2016) (29)
- Games and simulation in higher education (2017) (28)
- An advanced review on text mining in medicine (2019) (28)
- Classification via clustering for predicting final marks starting from the student participation in Forums (2012) (28)
- Using Ant Programming Guided by Grammar for Building Rule-Based Classifiers (2011) (28)
- Evolutionary Strategy to Perform Batch-Mode Active Learning on Multi-Label Data (2018) (28)
- Speeding up multiple instance learning classification rules on GPUs (2015) (27)
- Authoring and management tools for adaptive educational hypermedia systems : the AHA! case study (2007) (27)
- Multi-instance genetic programming for web index recommendation (2009) (27)
- On the adaptability of G3PARM to the extraction of rare association rules (2014) (26)
- A Java Desktop Tool for Mining Moodle Data (2011) (26)
- RM-Tool: A framework for discovering and evaluating association rules (2011) (26)
- Multiple Instance Learning with MultiObjective Genetic Programming for Web Mining (2008) (26)
- Changes in Splicing Machinery Components Influence, Precede, and Early Predict the Development of Type 2 Diabetes: From the CORDIOPREV Study (2018) (25)
- ReliefF-ML: An Extension of ReliefF Algorithm to Multi-label Learning (2013) (25)
- MIRSVM: Multi-instance support vector machine with bag representatives (2018) (25)
- Effective lazy learning algorithm based on a data gravitation model for multi-label learning (2016) (24)
- An Authoring Tool for Building Both Mobile Adaptable Tests and Web-Based Adaptive or Classic Tests (2006) (24)
- Mining association rules with single and multi-objective grammar guided ant programming (2013) (24)
- Computational Neural Networks in Conjunction with Principal Component Analysis for Resolving Highly Nonlinear Kinetics (1997) (24)
- A classification module for genetic programming algorithms in JCLEC (2015) (24)
- Evaluation and comparison of open source software suites for data mining and knowledge discovery (2017) (24)
- Parallel multi-objective Ant Programming for classification using GPUs (2013) (23)
- Using Knowledge Levels with AHA! for Discovering Interesting Relationship (2002) (23)
- Evolutionary algorithms for subgroup discovery applied to e-learning data (2010) (22)
- Interactive multi-objective evolutionary optimization of software architectures (2018) (21)
- GPU-parallel subtree interpreter for genetic programming (2014) (21)
- An approach for the evolutionary discovery of software architectures (2015) (21)
- Analyzing Rule Evaluation Measures with Educational Datasets: A Framework to Help the Teacher (2008) (21)
- Optimization of quality measures in association rule mining: an empirical study (2018) (21)
- A comparative study of many-objective evolutionary algorithms for the discovery of software architectures (2016) (21)
- Extremely high-dimensional optimization with MapReduce: Scaling functions and algorithm (2017) (21)
- Using Genetic Algorithms for Data Mining in Web-based Educational Hypermedia Systems (2002) (20)
- OLLAWV: OnLine Learning Algorithm using Worst-Violators (2018) (20)
- Stopped-flow chemiluminescence spectrometry to improve the determination of pencillins based on the luminol-iodine reaction (1992) (19)
- HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning (2013) (19)
- Mining local periodic patterns in a discrete sequence (2021) (19)
- Association rule mining in learning management systems (2011) (19)
- An evolutionary approach to build ensembles of multi-label classifiers (2019) (19)
- Guest Editorial: Special Issue on Early Prediction and Supporting of Learning Performance (2019) (18)
- Parallel evaluation of Pittsburgh rule-based classifiers on GPUs (2014) (18)
- MLDA: A tool for analyzing multi-label datasets (2017) (18)
- Mining exceptional relationships with grammar-guided genetic programming (2016) (17)
- Solving Classification Problems Using Genetic Programming Algorithms on GPUs (2010) (17)
- An evolutionary algorithm for optimizing the target ordering in Ensemble of Regressor Chains (2017) (17)
- A Grammar-Guided Genetic Programing Algorithm for Associative Classification in Big Data (2019) (17)
- Computational Neural Networks for Resolving Nonlinear Multicomponent Systems Based on Chemiluminescence Methods (1998) (17)
- G3PARM: A Grammar Guided Genetic Programming algorithm for mining association rules (2010) (17)
- Class Association Rules Mining from Students' Test Data (2010) (17)
- Subgroup discovery in an e-learning usage study based on Moodle (2011) (16)
- Evolutionary Product-Unit Neural Networks for Classification (2006) (16)
- Swarm‐based metaheuristics in automatic programming: a survey (2014) (16)
- Recommending degree studies according to students' attitudes in high school by means of subgroup discovery (2016) (16)
- Estimation of Parameters of Kinetic Compartmental Models by Use of Computational Neural Networks (1997) (15)
- Classification rule mining using ant programming guided by grammar with multiple Pareto fronts (2012) (15)
- An authoring tool for web-based adaptive and classic tests (2004) (15)
- Collaborative Data Mining Tool for Education (2009) (15)
- Signal speech reconstruction and noise removal using convolutional denoising audioencoders with neural deep learning (2019) (15)
- An evaluation of the effectiveness of e-learning system as support for traditional classes (2011) (14)
- Discovering useful patterns from multiple instance data (2016) (14)
- DRAL: a tool for discovering relevant e-activities for learners (2013) (14)
- A Gene Expression Programming Algorithm for Multi-Label Classification (2011) (14)
- Association rule mining using a multi-objective grammar-based ant programming algorithm (2011) (14)
- A locally weighted learning method based on a data gravitation model for multi-target regression (2018) (14)
- Evaluating associative classification algorithms for Big Data (2019) (14)
- Evolving Multi-label Classification Rules with Gene Expression Programming: A Preliminary Study (2010) (13)
- Heuristics for interesting class association rule mining a colorectal cancer database (2020) (13)
- An Extensible JCLEC-based Solution for the Implementation of Multi-Objective Evolutionary Algorithms (2015) (13)
- Tweet Coupling: a social media methodology for clustering scientific publications (2020) (13)
- On the performance of multiple objective evolutionary algorithms for software architecture discovery (2014) (12)
- Preface to the special issue on data mining for personalised educational systems (2011) (12)
- Data Mining in E-learning (Advances in Management Information) (2006) (12)
- A Parallel Genetic Programming Algorithm for Classification (2011) (12)
- Scalable CAIM discretization on multiple GPUs using concurrent kernels (2014) (11)
- Multi-label Classification with Gene Expression Programming (2009) (11)
- Discovering Subgroups by Means of Genetic Programming (2013) (11)
- An EP algorithm for learning highly interpretable classifiers (2011) (11)
- LAC: Library for associative classification (2020) (10)
- A grammar based Ant Programming algorithm for mining classification rules (2010) (10)
- A Data Structure to Speed-Up Machine Learning Algorithms on Massive Datasets (2016) (10)
- Dysregulated splicing factor SF3B1 unveils a dual therapeutic vulnerability to target pancreatic cancer cells and cancer stem cells with an anti-splicing drug (2021) (10)
- Large-Scale Multi-label Ensemble Learning on Spark (2017) (10)
- An evolutionary algorithm for mining rare association rules: A Big Data approach (2017) (10)
- Mining Cross-Level High Utility Itemsets (2020) (10)
- Data mining in predictive maintenance systems: A taxonomy and systematic review (2022) (10)
- Multiple Instance Learning with Genetic Programming for Web Mining (2007) (10)
- Predicting Academic Achievement Using Multiple Instance Genetic Programming (2009) (9)
- Evaluating Web Based Instructional Models Using Association Rule Mining (2009) (9)
- Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets (2015) (9)
- Exhaustive search algorithms to mine subgroups on Big Data using Apache Spark (2017) (9)
- Multi-objective Genetic Programming for Multiple Instance Learning (2007) (8)
- An ensemble-based method for the selection of instances in the multi-target regression problem (2018) (8)
- Oral breathing: new early treatment protocol (2014) (8)
- Subgroup discovery in MOOCs: a big data application for describing different types of learners (2019) (8)
- Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms (2020) (8)
- An Algorithm Evaluation for Discovering Classification Rules with Gene Expression Programming (2016) (8)
- Genetic Programming - New Approaches and Successful Applications (2012) (7)
- Discovering clues to avoid middle school failure at early stages (2015) (7)
- Predicting Student Grades in Learning Management Systems with Multiple Instance Learning Genetic Programming (2009) (7)
- Rule Mining With GBGP To Improve Web-basedAdaptive Educational Systems (2006) (7)
- JCLEC-MO: A Java suite for solving many-objective optimization engineering problems (2019) (7)
- An ensemble-based approach for multi-view multi-label classification (2016) (7)
- Binary and multiclass imbalanced classification using multi-objective ant programming (2012) (6)
- J. A. Larusson, B. White (eds): Learning Analytics: From Research to Practice (2015) (6)
- Feature selection is the ReliefF for multiple instance learning (2010) (6)
- Genetic Programming for Mining Association Rules in Relational Database Environments (2015) (6)
- Melanoma Recognition by Fusing Convolutional Blocks and Dynamic Routing between Capsules (2021) (6)
- A Moodle Block for Selecting, Visualizing and Mining Students' Usage Data (2013) (6)
- Reducing Dimensionality in Multiple Instance Learning with a Filter Method (2010) (6)
- Subgroup Discovery on Big Data: Exhaustive Methodologies Using Map-Reduce (2016) (6)
- An ensemble-based convolutional neural network model powered by a genetic algorithm for melanoma diagnosis (2021) (5)
- Multi-objective approach based on grammar-guided genetic programming for solving multiple instance problems (2012) (5)
- A Niching Algorithm to Learn Discriminant Functions with Multi-Label Patterns (2009) (5)
- Mining Perfectly Rare Itemsets on Big Data: An Approach Based on Apriori-Inverse and MapReduce (2016) (5)
- A supervised machine learning-based methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis (2020) (5)
- Learning similarity metric to improve the performance of lazy multi-label ranking algorithms (2012) (5)
- Performing multi-target regression via gene expression programming-based ensemble models (2021) (5)
- Predicting students drop out : a case study (2010) (5)
- LEAC: An efficient library for clustering with evolutionary algorithms (2019) (5)
- Multiple Instance Multiple Label Learning (2016) (4)
- Quality Measures in Pattern Mining (2016) (4)
- Multi-Objective Ant Programming for Mining Classification Rules (2012) (4)
- Educational Data Mining - EDM 2009, Cordoba, Spain, July 1-3, 2009. Proceedings of the 2nd International Conference on Educational Data Mining (2009) (4)
- An intruder detection approach based on infrequent rating pattern mining (2010) (4)
- Multi-instance Regression (2016) (4)
- Proceedings of the International Conference on Educational Data Mining (EDM) (2nd, Cordoba, Spain, July 1-3, 2009). (2009) (4)
- A novel component identification approach using evolutionary programming (2013) (4)
- Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns (2022) (4)
- Fast Convergence of Competitive Spiking Neural Networks with Sample-Based Weight Initialization (2020) (4)
- A Grammar-Guided Genetic Programming Algorithm for Multi-Label Classification (2013) (4)
- Classification Rule Mining with Iterated Greedy (2014) (4)
- A TDIDT technique for multi-label classification (2010) (4)
- Multi-view Genetic Programming Learning to Obtain Interpretable Rule-Based Classifiers for Semi-supervised Contexts. Lessons Learnt (2020) (3)
- Single and multi-objective ant programming for mining interesting rare association rules (2014) (3)
- Genetic Programming in Pattern Mining (2016) (3)
- On the use of ant programming for mining rare association rules (2013) (3)
- Ant Programming Algorithms for Classification (2014) (3)
- Analysis of the Effectiveness of G3PARM Algorithm (2010) (3)
- Design and behavior study of a grammar-guided genetic programming algorithm for mining association rules (2011) (3)
- Spliceosomic dysregulation unveils NOVA1 as a candidate actionable therapeutic target in pancreatic neuroendocrine tumors. (2022) (3)
- Subgroup discovery on big data: Pruning the search space on exhaustive search algorithms (2016) (3)
- Accepting or Rejecting Students_ Self-grading in their Final Marks by using Data Mining (2014) (3)
- Multi-Instance Learning versus Single-Instance Learning for Predicting the Student’s Performance (2010) (3)
- Web Usage Mining for Improving Students Performance in Learning Management Systems (2010) (2)
- CRBA: A Competitive Rate-Based Algorithm Based on Competitive Spiking Neural Networks (2021) (2)
- Subgroup Discovery on Multiple Instance Data (2019) (2)
- Mining and representing rare association rules through the use of genetic programming (2011) (2)
- Instance-Based Classification Methods (2016) (2)
- Rule Discovery In Web-based EducationalSystems Using Grammar-Based GeneticProgramming (2005) (2)
- MiNerDoc: a Semantically Enriched Text Mining System to Transform Clinical Text into Knowledge (2019) (2)
- Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers (2022) (2)
- Modeling and predicting students’ engagement behaviors using mixture Markov models (2022) (2)
- A Supervised Methodology for Analyzing Dysregulation in Splicing Machinery: An Application in Cancer Diagnosis (2019) (2)
- Algoritmos Evolutivos para Descubrimiento de Reglas de Predicción en la Mejora de Sistemas Educativos Adaptativos basados en Web (2005) (2)
- Classification Accuracy of Hepatitis C Virus Infection Outcome: Data Mining Approach (2021) (2)
- A gene expression programming algorithm for discovering classification rules in the multi-objective space (2018) (2)
- JCLEC Meets WEKA! (2011) (2)
- An Automatic Programming ACO-Based Algorithm for Classification Rule Mining (2010) (2)
- Multi-instance Classification (2016) (2)
- Introduction to Supervised Descriptive Pattern Mining (2018) (2)
- Introduction to the Experimental Design in the Data Mining Tool KEEL (2010) (2)
- A gene expression programming method for multi-target regression (2018) (2)
- Extracting User-Centric Knowledge on Two Different Spaces: Concepts and Records (2020) (2)
- Improving the understanding of cancer in a descriptive way: An emerging pattern mining‐based approach (2021) (2)
- Peer assessment using soft computing techniques (2021) (1)
- Self-evaluation first ECTS course in a programming subject (2011) (1)
- High performance evaluation of evolutionary-mined association rules on GPUs (2013) (1)
- Synthesis of In-Place Iterative Sorting Algorithms Using GP: A Comparison Between STGP, SFGP, G3P and GE (2015) (1)
- Speeding Up Classifier Chains in Multi-label Classification (2019) (1)
- Multiobjective Approaches in Pattern Mining (2016) (1)
- Collaborative recommender system using distributed rule mining for improving web-based adaptive courses (2007) (1)
- Proceedings of the International Conference on Educational Data Mining (EDM) (4th, Eindhoven, the Netherlands, July 6-8, 2011). (2011) (1)
- Scalability in Pattern Mining (2016) (1)
- EDM 2011: 4th international conference on educational data mining : Eindhoven, July 6-8, 2011 : proceedings (2011) (1)
- WordificationMI: multi-relational data mining through multiple-instance propositionalization (2019) (1)
- A framework to build accurate Convolutional Neural Network models for melanoma diagnosis (2023) (1)
- Supervised Local Pattern Mining (2016) (1)
- VisualJCLEC: A visual framework for evolutionary computation (2012) (1)
- ARFF Data Source Library for Distributed Single/Multiple Instance, Single/Multiple Output Learning on Apache Spark (2019) (1)
- Memetic Algorithms for the Automatic Discovery of Software Architectures (2016) (1)
- Discovering Students’ Engagement Behaviors in Confidence-based Assessment (2019) (1)
- An Enhanced Predictive Approach for Students’ Performance (2022) (1)
- Obtaining Tractable and Interpretable Descriptions for Cases with Complications from a Colorectal Cancer Database (2019) (1)
- Unsupervised Multiple Instance Learning (2016) (1)
- A propositionalization method of multi-relational data based on Grammar-Guided Genetic Programming (2020) (1)
- Foreword: Intelligent data analysis (2014) (1)
- Multi-view semi-supervised learning using genetic programming interpretable classification rules (2017) (1)
- Tree-Shaped Ensemble of Multi-Label Classifiers using Grammar-Guided Genetic Programming (2020) (1)
- Multi-Instance Learning versus Single-Instance Learning for Predicting the Student’s Performance (2010) (1)
- Rule discovery in W eb-based educational systems using Grammar-Based Genetic Programming (2005) (1)
- Herramienta Autor para la Gestión de Tests Informatizados dentro del Sistema AHA (2006) (1)
- Dysregulated splicing factor SF3B1 unveils a dual therapeutic vulnerability to target pancreatic cancer cells and cancer stem cells with an anti-splicing drug (2021) (1)
- DRAL: a tool for discovering relevant e-activities for learners (2012) (1)
- A Grammar-Guided Genetic Programing Algorithm for Associative Classification in Big Data (2019) (1)
- Multi-objective approach based on grammar-guided genetic programming for solving multiple instance problems (2011) (1)
- A comparative study of many-objective evolutionary algorithms for the discovery of software architectures (2015) (1)
- Class Association Rules (2018) (0)
- Signal speech reconstruction and noise removal using convolutional denoising audioencoders with neural deep learning (2019) (0)
- WordificationMI: multi-relational data mining through multiple-instance propositionalization (2019) (0)
- The High Schooler's Guide to Happiness. (2020) (0)
- Facing Up Fare War: Generating Competitive Price Models With Gene Expression Programming (2022) (0)
- Efficient mining of top-k high utility itemsets through genetic algorithms (2023) (0)
- ur-CAIM: improved CAIM discretization for unbalanced and balanced data (2014) (0)
- A two steps method: non linear regression and pruning neural network for analyzing multicomponent mixtures (2001) (0)
- Special issue: Advances in learning schemes for function approximation (2014) (0)
- Proceedings of the International Conference on Educational Data Mining (EDM) (8th, Madrid, Spain, June 26-29, 2015). (2015) (0)
- Reducing the Label Space a Predefined Ratio for a More Efficient Multilabel Classification (2022) (0)
- WCN23-0613 ATYPICAL HEMOLYTIC UREMIC SYNDROME AND CMV: CAUSE OR CONSEQUENCE? (2023) (0)
- Grammar guided genetic programming for multiple instance learning: an experimental study (2010) (0)
- Mining exceptional relationships with grammar-guided genetic programming (2015) (0)
- Bag-Based Classification Methods (2016) (0)
- An ensemble-based approach for multi-view multi-label classification (2016) (0)
- Multi-objective genetic programming for feature extraction and data visualization (2015) (0)
- Dynamic Airline Discounts using an Evolutionary Subgroup Discovery Methodology (2022) (0)
- Enhanced resolution control for video sequences (1997) (0)
- Introduction to Evolutionary Computation (2016) (0)
- Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms (2020) (0)
- EXPORTQUIZ: MÓDULO DE MOODLE PARA EXPORTAR CUESTIONARIOS A FICHEROS DE TEXTO (2014) (0)
- Introduction to the special issue on Methods and applications in the analysis of social data in healthcare (2021) (0)
- Association rule mining in learning management systems (Chapter 7) (2011) (0)
- An evolutionary algorithm for the discovery of rare class association rules in learning management systems (2014) (0)
- Grammar-Based Evolutionary Approach for Automatic Workflow Composition with Open Preprocessing Sequence (2022) (0)
- A Comparison of Multi-objective Grammar-Guided Genetic Programming Methods to Multiple Instance Learning (2009) (0)
- Speeding up multiple instance learning classification rules on GPUs (2014) (0)
- JCLEC for multi-objective and many-objective optimisation Design specification and programming guidelines Version 1.0 (2018) (0)
- ビッグデータに関するサブグループ発見:全数探索アルゴリズムに対する探索空間の枝刈り【Powered by NICT】 (2016) (0)
- Associative Classification in Big Data through a G3P Approach (2019) (0)
- Improving the Performance of Multi-Label Classifiers via Label Space Reduction (2022) (0)
- On the effect of local search in the multi-objective evolutionary discovery of software architectures (2017) (0)
- Oral nutritional supplements: Training and controls can improve appropriateness of clinical use in an acute care hospital (2016) (0)
- J. A. Larusson, B. White (eds): Learning Analytics: From Research to Practice (2015) (0)
- Classification Accuracy of Hepatitis C Virus Infection Outcome: Data Mining Approach (Preprint) (2020) (0)
- Other Forms of Supervised Descriptive Pattern Mining (2018) (0)
- Proceedings of ISDA’11 (2011) (0)
- Pattern Mining with Genetic Algorithms (2016) (0)
- Reproducing Aplysia R-15 Bursting Neurodynamics on a Neuromorphic Microchip (2022) (0)
- Spliceosomic dysregulation unveils NOVA1 as an actionable therapeutic target in pancreatic neuroendocrine tumors (2022) (0)
- On the adaptability of G3PARM to the extraction of rare association rules (2013) (0)
- Introduction to Pattern Mining (2016) (0)
- A functional role for splicing factor EIF4A3 dysregulation in pancreatic ductal adenocarcinoma (2021) (0)
- Progressive growing of Generative Adversarial Networks for improving data augmentation and skin cancer diagnosis (2023) (0)
- Mining Exceptional Relationships Between Patterns (2016) (0)
- Multi-view Deep Neural Networks for multiclass skin lesion diagnosis (2022) (0)
- Design of peer assessment rubrics for ICT topics (2021) (0)
- Exhaustive search algorithms to mine subgroups on Big Data using Apache Spark (2017) (0)
- Modelling User Preferences with Multi-Instance Genetic Programming (2008) (0)
- Application of Crossover Operators Based on Confidence Interval in Modeling Problems Using Real-Coding Genetic Algorithms (2003) (0)
- Proceedings of the 8th International Conference on Educational Data Mining, EDM 2015, Madrid, Spain, June 26-29, 2015 (2015) (0)
- Scalable CAIM discretization on multiple GPUs using concurrent kernels (2014) (0)
- Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data (2012) (0)
- Eleccin de Operadores Lgicos para la Induccin de Conocimiento Comprensible (2006) (0)
- A semantically enriched text mining system for clinical decision support (2020) (0)
- Performance Accuracy of Classification Algorithms for Web Learning System (2016) (0)
- Classification rule mining using ant programming guided by grammar with multiple Pareto fronts (2012) (0)
- Speeding up the evaluation phase of GP classification algorithms on GPUs (2011) (0)
- Smart Operators for Inducing Colorectal Cancer Classification Trees with PonyGE2 Grammatical Evolution Python Package (2022) (0)
- A Preliminary Study on Evolutionary Clustering for Multiple Instance Learning (2020) (0)
- EDITORIAL (2021) (0)
- MT-SNN: Spiking Neural Network that Enables Single-Tasking of Multiple Tasks (2022) (0)
- Imbalanced Multi-instance Data (2016) (0)
- A genetic programming free-parameter algorithm for mining association rules (2012) (0)
- Selection of Logical Operators for Inducing Comprehensible Knowledge (2006) (0)
- Exceptional in so Many Ways—Discovering Descriptors That Display Exceptional Behavior on Contrasting Scenarios (2020) (0)
- ビッグデータに関するサブグループ発見:Map‐Reduceを使用した包括的方法論【Powered by NICT】 (2016) (0)
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What Schools Are Affiliated With Sebastian Ventura?
Sebastian Ventura is affiliated with the following schools: