336 entries « 1 of 7 »

2019

Reyes, O; Pérez, E; Ventura, S

Performing melanoma diagnosis by an effective convolutional architecture Inproceedings

Skin Lesion Analysis Towards Melanoma Detection, ISIC 2019, pp. 4, 2019.

BibTeX | Tags: Deep Learning, Melanoma Diagnosis

Pérez, E; Reyes, O; Ventura, S

Automatic melanoma diagnosis: a review Inproceedings

VII Scientific Congress of Researchers of the University of Cordoba, Spain, 2019.

BibTeX | Tags: Deep Learning, Melanoma Diagnosis

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

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

Information Fusion, 50 , pp. 168-180, 2019, ISSN: 1566-2535.

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

Luna, J M; Fournier-Viger, P; Ventura, S

Frequent itemset mining: A 25 years review Journal Article

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 9 , 2019.

Links | BibTeX | Tags: Data Science, Pattern Mining

Abouzid, H; Chakkor, O; Reyes, O; Ventura, S

Signal speech reconstruction and noise removal using convolutional denoising audioencoders with neural deep learning Journal Article

Analog Integrated Circuits and Signal Processing, 100 , pp. 501-512, 2019.

Links | BibTeX | Tags: Deep Learning

Quintero-Domínguez, L A; Morell, C; Ventura, S

WordificationMI: multi-relational data mining through multiple-instance propositionalization Journal Article

Progress in Artificial Intelligence, 8 , pp. 375-387, 2019.

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

Robles-Berumen, H; Zafra, A; Fardoun, H M; Ventura, S

LEAC: An efficient library for clustering with evolutionary algorithms Journal Article

Knowledge-Based Systems, 179 , pp. 117-119, 2019.

Links | BibTeX | Tags: Clustering, Library, Software

Hassan, S -U; Waheed, H; Aljohani, N R; Ali, M; Ventura, S; Herrera, F

Virtual learning environment to predict withdrawal by leveraging deep learning Journal Article

International Journal of Intelligent Systems, 34 , pp. 1935-1952, 2019.

Links | BibTeX | Tags: Deep Learning, Educational Data Mining

Del Río-Moreno, M; Alors-Pérez, E; González-Rubio, S; Ferrín, G; Reyes, O; Rodríguez-Perálvarez, M; Sánchez-Frías, M E; Sánchez-Sánchez, R; Ventura, S; López-Miranda, J; Kineman, R D; De La Mata, M; Castaño, J P; Gahete, M D; Luque, R M

Dysregulation of the Splicing Machinery Is Associated to the Development of Nonalcoholic Fatty Liver Disease Journal Article

Journal of Clinical Endocrinology and Metabolism, 104 , pp. 3389-3402, 2019.

Links | BibTeX | Tags: Clinical Data Mining, Predictive Models

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

A Grammar-Guided Genetic Programing Algorithm for Associative Classification in Big Data Journal Article

Cognitive Computation, 11 , pp. 331-346, 2019.

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

Luque, C; Luna, J M; Ventura, S

MiNerDoc: A semantically enriched text mining system to transform clinical text into knowledge Inproceedings

Proceedings - IEEE Symposium on Computer-Based Medical Systems, pp. 702-707, 2019.

Links | BibTeX | Tags: Clinical Data Mining, Data Mining Software, Medical Data Mining, Software Design and Development

Delgado-Osuna, J -A; García-Martinez, C; Ventura, S; Barbadillo, J G

Obtaining tractable and interpretable descriptions for cases with complications from a colorectal cancer database Inproceedings

Proceedings - IEEE Symposium on Computer-Based Medical Systems, pp. 459-464, 2019.

Links | BibTeX | Tags: Associative Classification, Cancer, Clinical Data Mining, Predictive Models

Reyes, O; Luque, R M; Castano, J; Ventura, S

A supervised methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis Inproceedings

Proceedings - IEEE Symposium on Computer-Based Medical Systems, pp. 120-125, 2019.

Links | BibTeX | Tags: Clinical Data Mining, Predictive Models

Ramírez, A; Romero, J R; García-Martínez, C; Ventura, S

JCLEC-MO: A Java suite for solving many-objective optimization engineering problems Journal Article

Engineering Applications of Artificial Intelligence, 81 , pp. 14-28, 2019.

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

Luque, C; Luna, J M; Luque, M; Ventura, S

An advanced review on text mining in medicine Journal Article

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 9 , 2019.

Links | BibTeX | Tags: Clinical Data Mining, Medical Data Mining

Romero, C; Ventura, S

Guest Editorial: Special Issue on Early Prediction and Supporting of Learning Performance Journal Article

IEEE Transactions on Learning Technologies, 12 , pp. 145-147, 2019.

Links | BibTeX | Tags: Educational Data Mining, Predicting Student Performance

Maqsood, R; Ceravolo, P; Ventura, S

Discovering students' engagement behaviors in confidence-based assessment Inproceedings

IEEE Global Engineering Education Conference, EDUCON, pp. 841-846, 2019.

Links | BibTeX | Tags: Educational Data Mining, Markov Models

Ramírez, A; Romero, J R; Ventura, S

A survey of many-objective optimisation in search-based software engineering Journal Article

Journal of Systems and Software, 149 , pp. 382-395, 2019.

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

Reyes, O; Ventura, S

Performing Multi-Target Regression via a Parameter Sharing-Based Deep Network Journal Article

International Journal of Neural Systems, 2019.

Links | BibTeX | Tags: Deep Learning, Multi-target Regression

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

Distributed multi-label feature selection using individual mutual information measures Journal Article

Knowledge-Based Systems, 2019.

Links | BibTeX | Tags: Feature Selection, Multi-label Learning

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

ARFF Data Source Library for Distributed Single/Multiple Instance, Single/Multiple Output Learning on Apache Spark Journal Article

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11538 LNCS , pp. 173-179, 2019.

Links | BibTeX | Tags: Big Data, Multi-label Learning, Spark

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

Associative classification in big data through a G3P approach Inproceedings

IoTBDS 2019 - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security, pp. 94-102, 2019.

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

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

Speeding up classifier chains in multi-label classification Inproceedings

IoTBDS 2019 - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security, pp. 29-37, 2019.

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

Luna, J M; Fardoun, H M; Padillo, F; Romero, C; Ventura, S

Subgroup discovery in MOOCs: a big data application for describing different types of learners Journal Article

Interactive Learning Environments, 2019.

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

García-Martínez, C; Cerezo, R; Bermúdez, M; Romero, C

Improving essay peer grading accuracy in massive open online courses using personalized weights from student's engagement and performance Journal Article

Journal of Computer Assisted Learning, 35 , pp. 110-120, 2019.

Links | BibTeX | Tags: Educational Data Mining

Ferreira-Mello, R; André, M; Pinheiro, A; Costa, E; Romero, C

Text mining in education Journal Article

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 9 , 2019.

Links | BibTeX | Tags: Educational Data Mining

Cerezo, R; Calderón, V; Romero, C

A holographic mobile-based application for practicing pronunciation of basic English vocabulary for Spanish speaking children Journal Article

International Journal of Human Computer Studies, 124 , pp. 13-25, 2019.

Links | BibTeX | Tags: Educational Data Mining

Cerezo, R; Bogarín, A; Esteban, M; Romero, C

Process mining for self-regulated learning assessment in e-learning Journal Article

Journal of Computing in Higher Education, 2019.

Links | BibTeX | Tags: Educational Data Mining

Ramírez, A; Delgado-Pérez, P; Ferrer, J; Romero, J R; Medina-Bulo, I; Chicano, F

Estado y evolución de la comunidad SBSE en España: un análisis bibliométrico Inproceedings

XXIV Jornadas en Ingenieria del Software y Bases de Datos (JISBD'19), 2019.

Links | BibTeX | Tags: Search-based Software Engineering

Romero, J R; Ramírez, A; Simons, C

Looking for novelty in SBSE problems Inproceedings

XXIV Jornadas en Ingenieria del Software y Bases de Datos (JISBD'19), 2019.

Links | BibTeX | Tags: Search-based Software Engineering

Esteban, A; Zafra, A; Romero, C

Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization Journal Article

Knowledge-Based Systems, pp. 1–34, 2019.

Links | BibTeX | Tags: Educational Recommender Systems, Genetic Algorithms

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

336 entries « 1 of 7 »

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