CIMO 3. Inteligencia Computacional en Biomedicina
Lineas de Investigación
1. Informática Clínica.
2. Minería de Datos Clínica.
3. Bioinformática Clínica.
Miembros del grupo
- Todos
- IR
- Co-IR
- Investigador
- Tecnico Laboratorio
- Otro
Publicaciones científicas
- Todo
- D1
- Q1
- Q2
- Otro
Editorial: AI and Multi-Omics for Rare Diseases: Challenges, Advances and Perspectives
Bottini S, Emmert-Streib F, Franco L Frontiers in molecular biosciences 2021;8():719978
Deep neural networks architecture driven by problem-specific information
Urda, D; Veredas, FJ; Gonzalez-Enrique, J; Ruiz-Aguilar, JJ; Jerez, JM; Turias, IJ NEURAL COMPUTING & APPLICATIONS 2021
Electronic health records and patient registries in medical oncology departments in Spain
Ribelles N, Alvarez-Lopez I, Arcusa A, Chacon JI, de la Haba J, et al. Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico 2021 Oct;23(10):2099-2108
Machine learning and natural language processing (NLP) approach to predict early progression to first-line treatment in real-world hormone receptor-positive (HR+)/HER2-negative advanced breast cancer patients
Ribelles N, Jerez JM, Rodriguez-Brazzarola P, Jimenez B, Diaz-Redondo T, et al. European journal of cancer (Oxford, England : 1990) 2021 Feb;144():224-231
Transformers for Clinical Coding in Spanish
Lopez-Garcia, G; Jerez, JM; Ribelles, N; Alba, E; Veredas, FJ IEEE ACCESS 2021
Combining feature engineering and feature selection to improve the prediction of methionine oxidation sites in proteins
Veredas, FJ; Urda, D; Subirats, JL; Canton, FR; Aledo, JC NEURAL COMPUTING & APPLICATIONS 2020
Exploratory Data Analysis and Foreground Detection with the Growing Hierarchical Neural Forest
Palomo, EJ; Lopez-Rubio, E; Ortega-Zamorano, F; Benitez-Rochel, R NEURAL PROCESSING LETTERS 2020
Improving classification accuracy using data augmentation on small data sets
Moreno-Barea, FJ; Jerez, JM; Franco, L EXPERT SYSTEMS WITH APPLICATIONS 2020
Improving learning and generalization capabilities of the C-Mantec constructive neural network algorithm
Gomez, I; Mesa, H; Ortega-Zamorano, F; Jerez-Aragones, JM; Franco, L NEURAL COMPUTING & APPLICATIONS 2020
Transfer learning with convolutional neural networks for cancer survival prediction using gene-expression data
López-García G, Jerez JM, Franco L, Veredas FJ PloS one 2020;15(3):e0230536
Different Pathological Complete Response Rates According to PAM50 Subtype in HER2+Breast Cancer Patients Treated With Neoadjuvant Pertuzumab/Trastuzumab vs. Trastuzumab Plus Standard Chemotherapy: An Analysis of Real-World Data
Díaz-Redondo T, Lavado-Valenzuela R, Jimenez B, Pascual T, Gálvez F, et al. Frontiers in oncology 2019;9():1178
ESTIMATION OF NO2 CONCENTRATION VALUES IN A MONITORING SENSOR NETWORK USING A FUSION APPROACH
Gonzalez-Enrique, J; Turias, IJ; Ruiz-Aguilar, JJ; Moscoso-Lopez, J; Jerez-Aragones, J; Franco, L FRESENIUS ENVIRONMENTAL BULLETIN 2019
Piecewise Polynomial Activation Functions for Feedforward Neural Networks
Lopez-Rubio, E; Ortega-Zamorano, F; Dominguez, E; Munoz-Perez, J NEURAL PROCESSING LETTERS 2019
Spatial and meteorological relevance in NO2 estimations: a case study in the Bay of Algeciras (Spain)
Gonzalez-Enrique, J; Turias, IJ; Ruiz-Aguilar, JJ; Moscoso-Lopez, JA; Franco, L STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 2019
BLASSO: integration of biological knowledge into a regularized linear model
Urda D, Aragón F, Bautista R, Franco L, Veredas FJ, et al. BMC systems biology 2018 Nov 20;12(Suppl 5):94
Male breast cancer: correlation between immunohistochemical subtyping and PAM50 intrinsic subtypes, and the subsequent clinical outcomes
Sánchez-Muñoz A, Vicioso L, Santonja A, Álvarez M, Plata-Fernández Y, et al. Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc 2018 Feb;31(2):299-306
A machine learning approach for predicting methionine oxidation sites
Aledo JC, Cantón FR, Veredas FJ BMC bioinformatics 2017 Sep 29;18(1):430
FPGA Implementation of Neurocomputational Models: Comparison Between Standard Back-Propagation and C-Mantec Constructive Algorithm
Ortega-Zamorano, F; Jerez, JM; Juarez, GE; Franco, L NEURAL PROCESSING LETTERS 2017
Layer multiplexing FPGA implementation for deep back-propagation learning
Ortega-Zamorano, F; Jerez, JM; Gomez, I; Franco, L INTEGRATED COMPUTER-AIDED ENGINEERING 2017
Methionine residues around phosphorylation sites are preferentially oxidized in vivo under stress conditions
Veredas FJ, Cantón FR, Aledo JC Scientific reports 2017 Jan 12;7():40403
Noisy Chaotic Time Series Forecast Approximated By Combining Reny’s Entropy With Energy Associated To Series Method: Application To Rainfall Series
Rivero, CR; Pucheta, JA; Canon, ADO; Franco, L; Valdivia, YJT; Otano, PS; Sauchelli, VH IEEE LATIN AMERICA TRANSACTIONS 2017
Advanced Online Survival Analysis Tool for Predictive Modelling in Clinical Data Science
Montes-Torres J, Subirats JL, Ribelles N, Urda D, Franco L, et al. PloS one 2016;11(8):e0161135
Efficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers
Ortega-Zamorano F, Jerez JM, Urda Munoz D, Luque-Baena RM, Franco L IEEE transactions on neural networks and learning systems 2016 Sep;27(9):1840-50
FPGA Hardware Acceleration of Monte Carlo Simulations for the Ising Model
Ortega-Zamorano, F; Montemurro, MA; Cannas, SA; Jerez, JM; Franco, L IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 2016
Supervised discretization can discover risk groups in cancer survival analysis
Gómez I, Ribelles N, Franco L, Alba E, Jerez JM Computer methods and programs in biomedicine 2016 Nov;136():11-9
A self-organizing map to improve vehicle detection in flow monitoring systems
Luque-Baena, RM; Lopez-Rubio, E; Dominguez, E; Palomo, EJ; Jerez, JM SOFT COMPUTING 2015
Sulphur Atoms from Methionines Interacting with Aromatic Residues Are Less Prone to Oxidation
Aledo JC, Cantón FR, Veredas FJ Scientific reports 2015 Nov 24;5():16955
W Efficient detection of wound-bed and peripheral skin with statistical colour models
Veredas FJ, Mesa H, Morente L Medical & biological engineering & computing 2015 Apr;53(4):345-59
Wound image evaluation with machine learning
Veredas, FJ; Luque-Baena, RM; Martin-Santos, FJ; Morilla-Herrera, JC; Morente, L NEUROCOMPUTING 2015
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