Melanoma Recognition by Fusing Convolutional Blocks and Dynamic Routing between Capsules by Eduardo Pérez, Sebastián Ventura

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Multi-view Genetic Programming Learning to Obtain Interpretable Rule-Based Classifiers for Semi-supervised Contexts. Lessons Learnt by Carlos García-Martínez, Sebastián Ventura

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Improving Spiking Neural Network Performance with Auxiliary Learning by Paolo G. Cachi, Sebastián Ventura, Krzysztof J. Cios

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Reducing the Label Space a Predefined Ratio for a More Efficient Multilabel Classification by Jose M. Moyano, Jose M. Luna, Sebastian Ventura

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Facing Up Fare War: Generating Competitive Price Models With Gene Expression Programming by Marco Antonio Barron, Jose Maria Luna, Sebastian Ventura

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Extracting User-Centric Knowledge on Two Different Spaces: Concepts and Records by Jose Maria Luna, Philippe Fournier-Viger, Sebastian Ventura

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Construcción de cursos hipermedia adaptativos basados en Web utilizando AHA by Cristóbal Romero Morales, Sebastián Ventura Soto, Carlos de Castro

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Exceptional in so Many Ways—Discovering Descriptors That Display Exceptional Behavior on Contrasting Scenarios by Jose Maria Luna, Mykola Pechenizkiy, Wouter Duivesteijn, Sebastian Ventura

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Efficient Frequent Chronicle Mining Algorithms: Application to Sleep Disorder by Hareth Zmezm, Jose Maria Luna, Eduardo Almeda, Sebastian Ventura

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Games and simulation in higher education by Angel A. Juan, Birgit Loch, Thanasis Daradoumis, Sebastian Ventura

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Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets by Juan Luis Olmo, Cristóbal Romero, Eva Gibaja, Sebastián Ventura

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A Case-Study Comparison of Machine Learning Approaches for Predicting Student’s Dropout from Multiple Online Educational Entities by José Manuel Porras, Juan Alfonso Lara, Cristóbal Romero, Sebastián Ventura

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Data mining techniques for predicting teacher evaluation in higher education: A systematic literature review by Ricardo Ordoñez-Avila, Nelson Salgado Reyes, Jaime Meza, Sebastián Ventura

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An algorithm evaluation for discovering classification rules with gene expression programming by Alain Guerrero-Enamorado, Carlos Morell, Amin Y. Noaman, Sebastián Ventura

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Recommending degree studies according to students’ attitudes in high school by means of subgroup discovery by Amin Y. Noaman, José María Luna, Abdul H. M. Ragab, Sebastián Ventura

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Housing fuzzy recommender system: A systematic literature review by Emanuel G. Muñoz, Jorge Parraga-Alava, Jaime Meza, Jonathan Josue Proaño Morales, Sebastian Ventura

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Changes in Splicing Machinery Components Influence, Precede, and Early Predict the Development of Type 2 Diabetes: From the CORDIOPREV StudyResearch in context by Manuel D. Gahete, Mercedes del Rio-Moreno, Antonio Camargo, Juan F. Alcala-Diaz, Emilia Alors-Perez, Javier Delgado-Lista, Oscar Reyes, Sebastian Ventura, Pablo Perez-Martínez, Justo P. Castaño, José Lopez-Miranda, Raul M. Luque

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Altered splicing machinery in lung carcinoids unveils NOVA1, PRPF8 and SRSF10 as novel candidates to understand tumor biology and expand biomarker discovery by Ricardo Blázquez-Encinas, Víctor García-Vioque, Teresa Caro-Cuenca, María Trinidad Moreno-Montilla, Federica Mangili, Emilia Alors-Pérez, Sebastian Ventura, Aura D. Herrera-Martínez, Paula Moreno-Casado, Marco A. Calzado, Ángel Salvatierra, María A. Gálvez-Moreno, Lynnette Fernandez-Cuesta, Matthieu Foll, Raúl M. Luque, Nicolas Alcala, Sergio Pedraza-Arevalo, Alejandro Ibáñez-Costa, Justo P. Castaño

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Dysregulation of the splicing machinery is directly associated to aggressiveness of prostate cancer by Juan M. Jiménez-Vacas, Vicente Herrero-Aguayo, Antonio J. Montero-Hidalgo, Enrique Gómez-Gómez, Antonio C. Fuentes-Fayos, Antonio J. León-González, Prudencio Sáez-Martínez, Emilia Alors-Pérez, Sergio Pedraza-Arévalo, Teresa González-Serrano, Oscar Reyes, Ana Martínez-López, Rafael Sánchez-Sánchez, Sebastián Ventura, Elena M. Yubero-Serrano, María J. Requena-Tapia, Justo P. Castaño, Manuel D. Gahete, Raúl M. Luque

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Dysregulated splicing factor SF3B1 unveils a dual therapeutic vulnerability to target pancreatic cancer cells and cancer stem cells with an anti-splicing drug by Emilia Alors-Perez, Ricardo Blázquez-Encinas, Sonia Alcalá, Cristina Viyuela-García, Sergio Pedraza-Arevalo, Vicente Herrero-Aguayo, Juan M. Jiménez-Vacas, Andrea Mafficini, Marina E. Sánchez-Frías, María T. Cano, Fernando Abollo-Jiménez, Juan A. Marín-Sanz, Pablo Cabezas-Sainz, Rita T. Lawlor, Claudio Luchini, Laura Sánchez, Juan M. Sánchez-Hidalgo, Sebastián Ventura, Laura Martin-Hijano, Manuel D. Gahete, Aldo Scarpa, Álvaro Arjona-Sánchez, Alejandro Ibáñez-Costa, Bruno Sainz, Raúl M. Luque, Justo P. Castaño

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