389 entries « 1 of 8 »

2022

Trasierras, A M; Luna, J M; Ventura, S

Improving the understanding of cancer in a descriptive way: An emerging pattern mining‐based approach Journal Article

International Journal of Intelligent Systems, 37 (4), pp. 2822-2848, 2022.

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Al-Twijri, M I; Luna, J M; Herrera, F; Ventura, S

Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns Journal Article

Cognitive Computation, pp. 1-22, 2022.

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Maqsood, R; Ceravolo, P; Romero, C; Ventura, S

Modeling and predicting students’ engagement behaviors using mixture Markov models Journal Article

Knowledge and Information Systems, pp. 1-36, 2022.

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Bowen-Mendoza, L; Pinargote-Ortega, M; Meza, J; Ventura, S

Design of peer assessment rubrics for ICT topics Journal Article

Journal of Computing in Higher Education, 34 (1), pp. 211-241, 2022.

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Pedraza-Arevalo, S; Alors-Pérez, E; Blazquez-Encinas, R; Herrera-Martinez, A; Jimenez-Vacas, J; Fuentes-Fayos, A; Reyes, O; Ventura, S; Sanchez-Sanchez, R; Ortega-Salas, R; Serrano-Blanch, R; Galvez-Moreno, M; Gahete, M; Ibanez-Costa, A; Luque, R; Castano, J

Spliceosomic dysregulation unveils NOVA1 as an actionable therapeutic target in pancreatic neuroendocrine tumors Journal Article

bioRxiv, 2022.

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Ramírez, A; Feldt, R; Romero, J R

A Taxonomy of Information Attributes for Test Case Prioritisation: Applicability, Machine Learning Journal Article

arXiv preprint arXiv:2201.06044, 2022.

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López-Zambrano, J; Lara, J; Romero, C

Improving the portability of predicting students’ performance models by using ontologies Journal Article

Journal of Computing in Higher Education, 34 (1), pp. 1-19, 2022.

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W., Chango; Lara, J; Cerezo, R; Romero, C

A review on data fusion in multimodal learning analytics and educational data mining Journal Article

pp. e1458, 2022.

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Moyano, J M; Ventura, S

Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers Journal Article

Information Fusion, 78 , pp. 1-19, 2022, ISSN: 1566-2535.

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

2021

Frias, M; Moyano, J M; Rivero-Juarez, A; Luna, J M; Camacho, A; Fardoun, H M; Machuca, I; Al-Twijri, M; Rivero, A; Ventura, S

Classification Accuracy of Hepatitis C Virus Infection Outcome: Data Mining Approach Journal Article

Journal of Medical Internet Research, 23 (2), pp. e18766, 2021, ISSN: 1438-8871.

Links | BibTeX | Tags: Classification, Clinical Data Mining, Feature Selection, Supervised Learning

Moyano, J M; Reyes, O; Fardoun, H M; Ventura, S

Performing multi-target regression via gene expression programming-based ensemble models Journal Article

Neurocomputing, 432 , pp. 275-287, 2021, ISSN: 1872-8286.

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

2020

López-Zambrano, J; Lara, J; Romero, C

Towards Portability of Models for Predicting Students’ Final Performance in University Courses Starting from Moodle Logs Journal Article

Applied Sciences, 10 (1), pp. 354, 2020.

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

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

A systematic literature review of the SBSE research community in Spain Journal Article

Progress in Artificial Intelligence, In Press , 2020, ISSN: 2192-6360.

Links | BibTeX | Tags: Search-based Software Engineering

Hassan, S U; Aljohani, N R; Idrees, N; Sarwar, R; Nawaz, R; Martínez-Cámara, E; Ventura, S; Herrera, F

Predicting literature's early impact with sentiment Analysis in Twitter Journal Article

Knowledge-Based Systems, 192 , pp. 1–10, 2020, ISSN: 09507051.

Links | BibTeX | Tags: Predictive Models

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

A semantically enriched text mining system for clinical decision support Journal Article

Computational Intelligence, pp. 1–26, 2020.

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

Jiménez-Vacas, J M; Herrero-Aguayo, V; Montero-Hidalgo, A J; Gómez-Gómez, E; Fuentes-Fayos, A C; León-González, A J; Sáez-Martínez, P; Alors-Pérez, E; Pedraza-Arévalo, S; González-Serrano, T; Reyes, O; Martínez-López, A; Sánchez-Sánchez, R; Ventura, S; Yubero-Serrano, E M; Requena-Tapia, M J; Castaño, J P; Gahete, M D; Luque, R M

Dysregulation of the splicing machinery is directly associated to aggressiveness of prostate cancer Journal Article

EBioMedicine, 51 , pp. 1–13, 2020, ISSN: 23523964.

Links | BibTeX | Tags: Cancer, Medical Data Mining

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

LAC: Library for associative classification Journal Article

Knowledge-Based Systems, 193 , pp. 1–3, 2020, ISSN: 09507051.

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

Delgado-Osuna, J A; García-Martínez, C; Gómez-Barbadillo, J; Ventura, S

Heuristics for interesting class association rule mining a colorectal cancer database Journal Article

Information Processing and MA.gement, 57 (3), pp. 1–15, 2020, ISSN: 03064573.

Links | BibTeX | Tags: Association Rule Mining, Cancer, Medical Data Mining

García-Martínez, C; Ventura, S

Multi-view learning and genetic programming to obtain interpretable rule-based classifiers for semi-supervised contexts. Lessons learnt. Journal Article

International Journal of Computational Intelligence Systems, 2020.

BibTeX | Tags: Classification Rules, Genetic Algorithms, Multi-view Learning, Semi-supervised Learning

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, 194 , pp. 105385, 2020.

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Hassan, S; Aljohani, N; Shabbir, M; Ali, U; Iqbal, S; Sarwar, R; Martínez-Cámara, E; Ventura, S; Herrera, F

Tweet Coupling: a social media methodology for clustering scientific publications Journal Article

Scientometrics, pp. 1-19, 2020.

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Fuentes-Fayos, A; Vázquez-Borrego, M; Jiménez-Vacas, J; Bejarano, L; Pedraza-Arévalo, S; Blanco-Acevedo, C; Sánchez-Sánchez, R; Reyes, O; Ventura, S; Solivera, S; Breunig, J; Blasco, M; Gahete, M; Castaño, J; Luque, R

Splicing machinery dysregulation drives glioblastoma development/aggressiveness: oncogenic role of SRSF3 Journal Article

Brain, 2020.

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Fournier-Viger, P; Wang, Y; Chun-Wei Lin, J; Luna, J M; Ventura, S

Mining cross-level high utility itemsets Inproceedings

pp. 858-871, Springer, Cham, 2020.

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Reyes, O; Pérez, E; Luque, R; Castaño, J; Ventura, S

A supervised machine learning-based methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis Journal Article

Artificial Intelligence in Medicine, 108 , pp. 101950, 2020.

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

Extracting user-centric knowledge on two different spaces: Concepts and records Journal Article

IEEE Access, 8 , pp. 134782-134799, 2020.

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

A propositionalization method of multi-relational data based on Grammar-Guided Genetic Programming Journal Article

Expert Systems with Applications, pp. 114263, 2020.

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Luna, J M; Pechenizkiy, M; Duivesteijn, W; Ventura, S

Exceptional in so Many Ways—Discovering Descriptors That Display Exceptional Behavior on Contrasting Scenarios Journal Article

IEEE Access, 8 , pp. 200982-200994, 2020.

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Pérez, E; Reyes, O; Ventura, S

Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study Journal Article

Medical image analysis, 67 , pp. 101858, 2020.

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Bowen-Mendoza, L; Pinargote-Ortega, M; Meza, J; Ventura, S

Trends the use of Artificial Intelligence techniques for peer assessment Inproceedings

pp. 1-7, 2020.

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Pinargote-Ortega, M; Bowen-Mendoza, L; Meza, J; Ventura, S

Accuracy Measures of Sentiment Analysis Algorithms for Spanish Corpus generated in Peer Assessment Inproceedings

pp. 1-7, 2020.

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Mero, K; Meza, J; Ventura, S

Artificial intelligence and its impact on the prediction of economic indicators Inproceedings

pp. 1-8, 2020.

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Esteban, A; Zafra, A; Ventura, S

A Preliminary Study on Evolutionary Clustering for Multiple Instance Learning Inproceedings

pp. 1-8, IEEE, 2020.

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Cachi, P; Ventura, S; Cios, K J

Fast Convergence of Competitive Spiking Neural Networks with Sample-Based Weight Initialization Inproceedings

pp. 773-786, Springer, Cham, 2020.

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

Estudio de mecanismos de hibridación para el descubrimiento evolutivo de arquitecturas Journal Article

XXI Jornadas de Ingeniería del Software y Bases de Datos, 219 , pp. 481, 2020.

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

Configuración guiada por búsqueda de aplicaciones basadas en microservicios en la nube Journal Article

XXI Jornadas de Ingeniería del Software y Bases de Datos, 219 , pp. 499, 2020.

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Rafferty, A; Whitehill, J; Romero, C; Cavalli-Sforza, V

Proceedings of the International Conference on Educational Data Mining (EDM)(13th, Online, July 10-13, 2020). Journal Article

International Educational Data Mining Society, 2020.

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Paquette, L; Romero, C

Joint Proceedings of the EDM 2019 Workshops Inproceedings

CEUR-WS, 2020.

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Salado-Cid, R; Romero, J R

Lenguaje especıfico para el modelado de flujos de trabajo aplicados a ciencia de datos Journal Article

XXI Jornadas de Ingeniería del Software y Bases de Datos, 219 , pp. 227, 2020.

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Carlos, Xabier De; Sagardui, Goiuria; Trujillo, Salvador; Perkaz, Alain; Cañizo, Mikel; Iglesias, Aitziber; Salazar-Álvarez, Juan-Pablo; Gómez-Martínez, Elena; de Miguel, Miguel; Salado-Cid, R; Romero, J R; Cuevas, César; Martínez, Patricia López; Drake, Jose M; de Vega, Alfonso La; García-Saiz, Diego; Zorrilla, Marta; Sanchez, Pablo; Boubeta-Puig, Juan; Hernández, Juan; Moguel, Enrique; Preciado, Juan Carlos; Sánchez-Figueroa, Fernando; Troya, Javier; Segura, Sergio; Ruiz-Cortés, Antonio; Vara, Juan M; Castro, Valeria De; Granada, David; Marcos, Esperanza; Cuadrado, Jesús Sánchez; Guerra, Esther; Lara, Juan De; Gómez-Llana, Abel; Meseguer, José; Bruneliere, Hugo; Cabot, Jordi; Izquierdo, Javier Luis Cánovas; Arrieta, Leire Orue-Echevarria; Strauss, Oliver

Desarrollo de Software Dirigido por Modelos Journal Article

XXI Jornadas de Ingeniería del Software y Bases de Datos, 219 , pp. 198, 2020.

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Verdecia-Cabrera, A; Frías-Blanco, I; Quintero-Domínguez, L; Rodríguez Sarabia, Y

Aprendiendo con meta-clasificadores a partir de flujos de datos no estacionarios Journal Article

Revista Cubana de Ciencias Informáticas, 14 (4), pp. 20-33, 2020.

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

Tree-shaped ensemble of multi-label classifiers using grammar-guided genetic programming Inproceedings

2020 IEEE Congress on Evolutionary Computation, CEC 2020, pp. 1-8, 2020.

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

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

Generating ensembles of multi-label classifiers using cooperative coevolutionary algorithms Inproceedings

24th European Conference on Artificial Intelligence, ECAI 2020, pp. 497, 2020.

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

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

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

Knowledge-Based Systems, 188 , pp. 1-13, 2020.

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

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, 32 (1), pp. 74–88, 2020.

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

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

Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms Journal Article

Knowledge-Based Systems, 196 , pp. 105770, 2020, ISSN: 0950-7051.

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

Romero, C; Ventura, S

Educational data mining and learning analytics: An updated survey Journal Article

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, pp. e1355, 2020.

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

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

Espejo, P G; Gibaja, E; Menéndez, V H; Zapata, A; Romero, C

Improving Multi-Label Classification for Learning Objects Categorization by Taking into Consideration Usage Information Journal Article

Journal of Universal Computer Science, 25 (13), pp. 1687–1716, 2019.

Links | BibTeX | Tags: Educational Data Mining, Educational Recommender Systems

Chango W., Cerezo R; Romero, C

Predicting academic performance of university students from multi-sources data in blended learning Inproceedings

Proceedings of the Second International Conference on Data Science, E-Learning and Information Systems, pp. 1–5, 2019.

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

389 entries « 1 of 8 »

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