IoT Dataset Validation Using Machine Learning Techniques for Traffic Anomaly Detection by Laura Vigoya, Diego Fernandez, Victor Carneiro, Francisco J. Nóvoa

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Network Anomaly Detection Using Machine Learning Techniques by Julio J. Estévez-Pereira, Diego Fernández, Francisco J. Novoa

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Site Agnostic Approach to Early Detection of Cyberbullying on Social Media Networks by Manuel López-Vizcaíno, Francisco J. Nóvoa, Thierry Artieres, Fidel Cacheda

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Time Aware F-Score for Cybersecurity Early Detection Evaluation by Manuel López-Vizcaíno, Francisco J. Nóvoa, Diego Fernández, Fidel Cacheda

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Measuring Early Detection of Anomalies by Manuel F. Lopez-Vizcaino, Francisco J. Novoa, Diego Fernandez, Fidel Cacheda

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Interaction between cholesteryl ester transfer protein and hepatic lipase encoding genes and the risk of type 2 diabetes: results from the Telde study. by Laura López-Ríos, Francisco J Nóvoa, Ricardo Chirino, Francisco Varillas, Mauro Boronat-Cortés, Ana M Wägner

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A review on machine learning approaches and trends in drug discovery by Paula Carracedo-Reboredo, Jose Liñares-Blanco, Nereida Rodríguez-Fernández, Francisco Cedrón, Francisco J. Novoa, Adrian Carballal, Victor Maojo, Alejandro Pazos, Carlos Fernandez-Lozano

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ViDa1: The Development and Validation of a New Questionnaire for Measuring Health-Related Quality of Life in Patients with Type 1 Diabetes by Dácil Alvarado-Martel, Dácil Alvarado-Martel, M. Angeles Ruiz Fernández, Maribel Cuadrado Vigaray, Armando Carrillo, Mauro Boronat, Mauro Boronat, Ana Expósito Montesdeoca, Lía Nattero Chávez, Maite Pozuelo Sánchez, Pino López Quevedo, Ana D. Santana Suárez, Natalia Hillman, David Subias, Pilar Martin Vaquero, Lourdes Sáez de Ibarra, Didac Mauricio, Pedro de Pablos-Velasco, Pedro de Pablos-Velasco, Francisco J. Nóvoa, Francisco J. Nóvoa, Ana M. Wägner, Ana M. Wägner

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Developing and optimizing a computable phenotype for incident venous thromboembolism in a longitudinal cohort of patients with cancer by Ang Li, Wilson L. daCosta Jr, Danielle Guffey, Emily M. Milner, Anthony K. Allam, Karen M. Kurian, Francisco J. Novoa, Marguerite D. Poche, Raka Bandyo, Carolina Granada, Courtney D. Wallace, Neil A. Zakai, Christopher I. Amos

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O17 SLESIS-R: an improved score for prediction of serious infection in patients with systemic lupus erythematosus, developed from RELESSER prospective database cohort by Loreto Carmona, Ricardo Blanco, Íñigo Rúa-Figueroa, Celia Erausquin, María Jesus García de Yébenes, José M Pego-Reigosa, Javier Narváez, Raúl Menor-Almagro, Jaime Calvo-Alén, Antonio Fernández-Nebro, Eva Tomero, Mercedes Freire, Esther Ruiz-Lucea, Julia Martínez-Barrio, María Galindo-Izquierdo, Clara Moriano, Elena Aurrecoechea, Jose Luis Andreu, Jose Rosas, Tatiana Cobo, Ángela Pecondón-Español, Loreto Horcada, Esther Uriarte Isacelaya, Lorena Expósito, Alejandro Muñoz-Jiménez, Irene Carrion Barbera, Beatriz García-Tejera, Clara Sanguesa, Silvia Gómez Sabater, Vicenç Torrente Segarra, Ana Pérez Gómez, Francisco J Nóvoa, Eva Salgado Pérez, Nuria Lozano-Rivas, Carlos Montilla-Morales, Marta Arévalo, Carlota Iniguez, Maria J García Villanueva, Monica Ibañez, Gema Bonilla Hernán, Jorge Fragío, Francisco Javier Toyos, José Eloy Oller