301 entries « 1 of 7 »

2019

Cano, A; Krawczyk, B

Evolving Rule-Based Classifiers with Genetic Programming on GPUs for Drifting Data Streams Journal Article

Pattern Recognition, 87 , pp. 248-268, 2019.

Links | BibTeX | Tags: Classification, Classification Rules, Genetic Programming, GP-GPU, Grammar-Based Genetic Programming

2018

Salado-Cid, R; Ramírez, A; Romero, J R

On the need of opening the Big Data landscape to everyone: challenges and new trends Incollection

Linnhoff-Popien, C; Schneider, R; Zaddach, M (Ed.): Digital Marketplaces Unleashed, pp. 675-687, Springer Berlin Heidelberg, Berlin, Heidelberg, 2018, ISBN: 978-3-662-49275-8.

Links | BibTeX | Tags: Big Data Mining, Data Science, Scientific workflows

Reyes, O; Cano, A; Fardoun, H; Ventura, S

A locally weighted learning method based on a data gravitation model for multi-target regression Journal Article

International Journal of Computational Intelligence Systems, 11 (1), pp. 282-295, 2018.

BibTeX | Tags: Multi-label Learning, Supervised Learning

Cano, A

A survey on graphic processing unit computing for large-scale data mining Journal Article

Wiley Interdisciplinary Reviews - Data Mining and Knowledge Discovery, 8 (1), pp. e1232, 2018.

Links | BibTeX | Tags: Big Data Mining, Classification, GP-GPU, Scalability

Barbudo, R; Romero, J R; Ventura, S

Aprendizaje automático con programación genética gramatical para la detección de patrones de diseño Inproceedings

Conferencia de la Asociaci'on Espa~nola para la Inteligencia Artificial - XI Congreso Espa~nol sobre Metaheur'isticas, Algoritmos Evolutivos y Bioinspirados (CAEPIA 2018), 2018.

Links | BibTeX | Tags: Classification Rules, Evolutionary Algorithms, Grammar-Based Genetic Programming, Software Design and Development

Luna, J M; Padillo, F; M., Pechenizkiy; Ventura, S

Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data Journal Article

IEEE Trans. Cybernetics, 48 (10), pp. 2851–2865, 2018.

Links | BibTeX | Tags: Association Rule Mining, Big Data Mining, Hadoop, Pattern Mining, Scalability, Spark

Luna, J M; M., Pechenizkiy; del J., Jesus M; Ventura, S

Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming Journal Article

IEEE Trans. Cybernetics, 48 (11), pp. 3030–3044, 2018.

Links | BibTeX | Tags: Association Rule Mining, Grammar-Based Genetic Programming, Pattern Mining

Ventura, S; Luna, J M

Supervised Descriptive Pattern Mining Book

Springer, 2018, ISBN: 978-3-319-98139-0.

Links | BibTeX | Tags: Association Rule Mining, Pattern Mining, Subgroup Discovery

Padillo, F; Luna, J M; F., Herrera; Ventura, S

Mining association rules on Big Data through MapReduce genetic programming Journal Article

Integrated Computer-Aided Engineering, 25 (1), pp. 31–48, 2018.

Links | BibTeX | Tags: Association Rule Mining, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Scalability, Spark

Ramírez, A; Barbudo, R; Romero, J R; Ventura, S

Estudio de escalabilidad de implementaciones multiobjetivo en problemas con muchos objetivos Inproceedings

Conferencia de la Asociación Española para la Inteligencia Artificial - XI Congreso Español sobre Metaheuristicas, Algoritmos Evolutivos y Bioinspirados (CAEPIA - MAEB 2018), 2018.

Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Software Design and Development

Ramírez, A; Romero, J R; Ventura, S

Interactive Multi-Objective Evolutionary Optimization of Software Architectures Journal Article

Information Sciences, 463-464 , pp. 92-109, 2018, ISSN: 0020-0255.

Links | BibTeX | Tags: Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Search-based Software Engineering

Ramírez, A; Romero, J R; Ventura, S

API para el desarrollo de algoritmos interactivos en ingeniería del software basada en búsqueda Inproceedings

XXIII Jornadas en Ingenieria del Software y Bases de Datos (JISBD'18), 2018.

Links | BibTeX | Tags: Search-based Software Engineering, Software Design and Development

Ramírez, A; Romero, J R; Simons, C L

A Systematic Review of Interaction in Search-Based Software Engineering Journal Article

IEEE Transactions on Software Engineering, In press , pp. 1-22, 2018, ISSN: 0098-5589.

Links | BibTeX | Tags: Search-based Software Engineering

Moyano, J M; Gibaja, E; Cios, K J; Ventura, S

Review of ensembles of multi-label classifiers: Models, experimental study and prospects Journal Article

Information Fusion, 44 , pp. 33 - 45, 2018, ISSN: 1566-2535.

Links | BibTeX | Tags: Classification, Multi-label Learning, Supervised Learning

Salado-Cid, R; Molino, J; Romero, J R

Interoperabilidad de flujos de trabajo intensivos en datos en Industria 4.0: caso de estudio Inproceedings

I Workshop en Aplicaciones de la Inteligencia Artificial para la Industria 4.0 (Industria 4.0 2018), pp. 1333-1338, 2018, ISBN: 978-84-09-05643-9.

Links | BibTeX | Tags: Data Science, Scientific workflows

Skryjomski, P; Krawczyk, B; Cano, A

Speeding up k-Nearest Neighbors Classifier for Large-Scale Multi-Label Learning on GPUs Journal Article

Neurocomputing, In press , 2018.

BibTeX | Tags: Classification, GP-GPU, Multi-label Learning, Scalability

Djenouri, Y; Djenouri, D; Belhadi, A; Cano, A

Exploiting GPU and Cluster Parallelism in Single Scan Frequent Itemset Mining Journal Article

Information Sciences, In press , 2018.

Links | BibTeX | Tags: GP-GPU, Pattern Mining, Scalability

Gonzalez-Lopez, J; Ventura, S; Cano, A

Distributed Nearest Neighbor Classification for Large-Scale Multi-label Data on Spark Journal Article

Future Generation Computer Systems, 87 , pp. 66-82, 2018.

Links | BibTeX | Tags: Classification, Multi-label Learning, Spark

Krawczyk, B; Cano, A

Online Ensemble Learning with Abstaining Classifiers for Drifting and Noisy Data Streams Journal Article

Applied Soft Computing, 68 , pp. 677-692, 2018.

Links | BibTeX | Tags:

Melki, G; Kecman, V; Ventura, S; Cano, A

OLLAWV: OnLine Learning Algorithm using Worst-Violators Journal Article

Applied Soft Computing, 66 , pp. 384-393, 2018.

Links | BibTeX | Tags: Classification

Melki, G; Cano, A; Ventura, S

MIRSVM: Multi-Instance Support Vector Machine with Bag Representatives Journal Article

Pattern Recognition, 79 , pp. 228-241, 2018.

Links | BibTeX | Tags: Classification, Multi-instance Learning

Roseberry, M; Cano, A

Multi-label kNN Classifier with Self Adjusting Memory for Drifting Data Streams Inproceedings

LIDTA@PKDD/ECML, 2018.

BibTeX | Tags: Classification, Multi-label Learning

Cano, A; Krawczyk, B

Learning classification rules with differential evolution for high-speed data stream mining on GPUs Inproceedings

IEEE Congress on Evolutionary Computation, pp. 197-204, 2018.

BibTeX | Tags: Classification, Classification Rules, GP-GPU

Krawczyk, B; Cano, A; Wozniak, M

Selecting local ensembles for multi-class imbalanced data classification Inproceedings

International Joint Conference on Neural Networks, pp. 1848-1855, 2018.

BibTeX | Tags: Classification

Cano, A

Social Media and Machine Learning Book

1st, InTech, 2018, ISBN: 978-1-78984-028-5.

BibTeX | Tags: Data Science

Moyano, J M; Gibaja, E; Cios, K J; Ventura, S

An evolutionary approach to build ensembles of multi-label classifiers Journal Article

Information Fusion, 2018, ISSN: 1566-2535.

Links | BibTeX | Tags: Classification, Evolutionary Algorithms, Multi-label Learning, Supervised Learning

Reyes, O; Moyano, J M; Rivero-Juarez, A; Luque, R M; Rivero, A; Castaño, J; Ventura, S

Extracción de factores relevantes en el análisis de datos biomédicos: una metodología basada en técnicas de aprendizaje supervisado Inproceedings

XVIII Conferencia de la Asociación Española para la Inteligencia Artificial, CAEPIA 2018, pp. 861–866, 2018.

Links | BibTeX | Tags: Medical Data Mining

Reyes, O; Moyano, J M; Luna, J M; Ventura, S

Resolviendo el problema de regresión multi-salida mediante Gene Expression Programming Inproceedings

XVIII Conferencia de la Asociación Española para la Inteligencia Artificial, CAEPIA 2018, pp. 907–912, 2018.

Links | BibTeX | Tags: Evolutionary Algorithms, Gene Expression Programming (GEP), Multi-label Learning

Reyes, O; Moyano, J M; Luna, J M; Ventura, S

A gene expression programming method for multi-target regression Inproceedings

Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, LOPAL 2018, Rabat, Morocco, May 2-5, 2018., pp. 2:1–2:6, 2018.

Links | BibTeX | Tags: Evolutionary Algorithms, Gene Expression Programming (GEP), Multi-label Learning

Reyes, O; Luna, J M; Moyano, J M; Pérez, E; Ventura, S

Resolución de Problemas Biomédicos mediante Técnicas de Extracción de Conocimiento Inproceedings

XVIII Conferencia de la Asociación Española para la Inteligencia Artificial, CAEPIA 2018, pp. 1252–1257, 2018.

Links | BibTeX | Tags: Medical Data Mining

Luna, J M; Ondra, M; Fardoun, H M; Ventura, S

Optimization of quality measures in association rule mining: an empirical study Journal Article

International Journal of Computational Intelligence Systems, 12 (1), pp. 59–78, 2018.

Links | BibTeX | Tags: Association Rule Mining, Evolutionary Algorithms, Pattern Mining, Unsupervised Learning

Pérez, E; González, L D; Sánchez, L M; Reyes, O; Ventura, S

JCLAL 2.0: mejoras y nuevas funcionalidades en la herramienta Java de código abierto para el aprendizaje activo Inproceedings

XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), Granada, Spain, 2018.

Links | BibTeX | Tags: Active Learning, Scalability, Software Design and Development, Spark

Reyes, O; Ventura, S

Evolutionary Strategy to perform Batch-Mode Active Learning on Multi-Label Data Journal Article

ACM Transactions on Intelligent Systems and Technology, 9 (4), pp. 46–1, 2018.

Links | BibTeX | Tags: Active Learning, Evolutionary Algorithms, Multi-label Learning

Reyes, O; Altalhi, A H; Ventura, S

Statistical comparisons of active learning strategies over multiple datasets Journal Article

Knowledge-Based Systems, 145 , pp. 274–288, 2018.

Links | BibTeX | Tags:

Gahete, M D; del Rio-Moreno, M; Alors-Perez, E; Reyes, O; Camargo A., Delgado-Lista J; Lopez-Miranda, J; Castaño, J P; Luque, R M

Identification of an Altered Spliceosome-Associated Fingerprint As an Early, Predictive Event For the Development of Type 2 Diabetes In High-Risk Patients Inproceedings

Endocrine Society Annual Meeting, USA, 2018.

BibTeX | Tags: Medical Data Mining

Reyes, O; Fardoun, H; Ventura, S

An ensemble-based method for the selection of instances in the multi-target regression problem Journal Article

Integrated Computer-Aided Engineering, 25 (4), pp. 305–320, 2018.

Links | BibTeX | Tags: Instance Selection, Multi-target Regression

Gahete, M; del Rio-Moreno, M; Camargo, A; Alcala-Diaz, J F; Alors-Perez, E; Delgado-Lista, J; Reyes, O; Ventura, S; Perez-Martínez, P; Castaño, J P

Changes in Splicing Machinery Components Influence, Precede, and Early Predict the Development of Type 2 Diabetes: From the CORDIOPREV Study Journal Article

EBioMedicine, 37 , pp. 356–365, 2018.

Links | BibTeX | Tags: Feature Selection, Medical Data Mining

Luna, J M; Reyes, O; del Jesus, M J; Ventura, S

Reglas de Asociacion en Datos Multi-Instancia mediante Programacion Genética Gramatical Inproceedings

IX Simposio Teoría y Aplicaciones de Minería de Datos, CAEPIA-2018, Granada, España, pp. 815–820, 2018.

BibTeX | Tags: Evolutionary Algorithms, Genetic Programming, Multi-instance Learning, Pattern Mining

2017

García-Martínez, C; Ventura, S

Multi-view semi-supervised learning using genetic programming interpretable classification rules Inproceedings

Proceedings of the IEEE Congress on Evolutionary Computation, pp. 573-579, San Sebastian, Spain, 2017.

BibTeX | Tags: Classification Rules, Grammar-Based Genetic Programming, Multi-view Learning

Sánchez, O; Moyano, J M; Sánchez, L; Alcalá-Fdez, J

Mining association rules in R using the package RKEEL Inproceedings

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1-6, 2017.

Links | BibTeX | Tags: Association Rule Mining, Data Mining Software

Moyano, J M; Gibaja, E; Ventura, S

An evolutionary algorithm for optimizing the target ordering in Ensemble of Regressor Chains Inproceedings

2017 IEEE Congress on Evolutionary Computation (CEC), pp. 2015-2021, 2017.

Links | BibTeX | Tags: Evolutionary Algorithms, Multi-label Learning, Supervised Learning

Maestre-García, F J; García-Martínez, C; Pérez-Ortíz, M; Gutiérrez, P A

An Iterated Greedy Algorithm for Improving the Generation of Synthetic Patterns in Imbalanced Learning Inproceedings

Proceedings of the International Work-Conference on Artificial Neural Networks: Advances in Computational Intelligence, pp. 513-524, Cadiz, Spain, 2017.

BibTeX | Tags: Classification, Metaheuristics, Supervised Learning

Rodriguez, F J; Glover, F; García-Martínez, C; Martí, R; Lozano, M

GRASP with exterior path-relinking and restricted local search for the multidimensional two-way number partitioning problem Journal Article

Computers & Operations Research, 78 , pp. 243–254, 2017, ISSN: 03050548.

Links | BibTeX | Tags: Bioinspired algorithms, Metaheuristics

Ramírez, A; Parejo, J A; Romero, J R; Segura, S; Ruiz-Cortés, A

Evolutionary composition of QoS-aware web services: a many-objective perspective Journal Article

Expert Systems with Applications, 72 , pp. 357-370, 2017, ISSN: 0957-4174.

Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Search-based Software Engineering

Ramírez, A; Romero, J R; Ventura, S

On the effect of local search in the multi-objective evolutionary discovery of software architectures Inproceedings

IEEE Congress on Evolutionary Computation (CEC), pp. 2038–2045, IEEE, 2017.

Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Search-based Software Engineering

Ramírez, A; Romero, J R; Ventura, S

Búsqueda coevolutiva interactiva aplicada al diseño de software Inproceedings

XXII Jornadas en Ingeniería del Software y Bases de Datos (JISBD'17), 2017.

Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Search-based Software Engineering

Bardudo, R; Ramírez, A; Romero, J R; Ventura, S

Descubrimiento de patrones de diseño basado en buenas prácticas: modelo y discusión Inproceedings

XXII Jornadas en Ingeniería del Software y Bases de Datos (JISBD'17), 2017.

Links | BibTeX | Tags: Evolutionary Algorithms, Grammar-Based Genetic Programming, Pattern Mining, Search-based Software Engineering

Padillo, F; Luna, J M; Ventura, S

An evolutionary algorithm for mining rare association rules: A Big Data approach Inproceedings

2017 IEEE Congress on Evolutionary Computation, CEC 2017, Donostia, San Sebastián, Spain, June 5-8, 2017, pp. 2007–2014, 2017.

Links | BibTeX | Tags: Association Rule Mining, Big Data Mining, Evolutionary Algorithms, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Spark, Unsupervised Learning

Altalhi, A H; Luna, J M; Vallejo, M A; Ventura, S

Evaluation and comparison of open source software suites for data mining and knowledge discovery Journal Article

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 7 (3), 2017.

Links | BibTeX | Tags: Data Mining Software, Data Science

Padillo, F; Luna, J M; Ventura, S

Exhaustive search algorithms to mine subgroups on Big Data using Apache Spark Journal Article

Progress in Artificial Intelligence, 6 (2), pp. 145–158, 2017.

Links | BibTeX | Tags: Big Data Mining, Hadoop, Pattern Mining, Spark, Subgroup Discovery

301 entries « 1 of 7 »

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