Iván Contreras

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 19

Top Topics

Support Systems

Similarity Metric

Top Venues

Comput. Methods Programs Biomed.

Artif. Intell. Medicine

Publications

Muhammad Ibrahim, Aleix Beneyto, Iván Contreras, Josep Vehí
An ensemble machine learning approach for the detection of unannounced meals to enhance postprandial glucose control. Comput. Biol. Medicine 171 (2024)
Ernesto Estremera, Aleix Beneyto, Alvis Cabrera, Iván Contreras, Josep Vehí
Intermittent closed-loop blood glucose control for people with type 1 diabetes on multiple daily injections. Comput. Methods Programs Biomed. 236 (2023)
Sayyar Ahmad, Aleix Beneyto, Iván Contreras, Josep Vehí
Bolus Insulin calculation without meal information. A reinforcement learning approach. Artif. Intell. Medicine 134 (2022)
Adrià Parcerisas, Iván Contreras, Alexia Delecourt, Arthur Bertachi, Aleix Beneyto, Ignacio Conget, Clara Viñals, Marga Giménez, Josep Vehí
A Machine Learning Approach to Minimize Nocturnal Hypoglycemic Events in Type 1 Diabetic Patients under Multiple Doses of Insulin. Sensors 22 (4) (2022)
Josep Noguer, Iván Contreras, Omer Mujahid, Aleix Beneyto, Josep Vehí
Generation of Individualized Synthetic Data for Augmentation of the Type 1 Diabetes Data Sets Using Deep Learning Models. Sensors 22 (13) (2022)
Omer Mujahid, Iván Contreras, Josep Vehí
Machine Learning Techniques for Hypoglycemia Prediction: Trends and Challenges. Sensors 21 (2) (2021)
Josep Vehí, Iván Contreras, Silvia Oviedo, Lyvia Biagi, Arthur Bertachi
Prediction and prevention of hypoglycaemic events in type-1 diabetic patients using machine learning. Health Informatics J. 26 (1) (2020)
Arthur Bertachi, Clara Viñals, Lyvia Biagi, Iván Contreras, Josep Vehí, Ignacio Conget, Marga Giménez
Prediction of Nocturnal Hypoglycemia in Adults with Type 1 Diabetes under Multiple Daily Injections Using Continuous Glucose Monitoring and Physical Activity Monitor. Sensors 20 (6) (2020)
Silvia Oviedo, Iván Contreras, Arthur Bertachi, Carmen Quirós, Marga Giménez, Ignacio Conget, Josep Vehí
Minimizing postprandial hypoglycemia in Type 1 diabetes patients using multiple insulin injections and capillary blood glucose self-monitoring with machine learning techniques. Comput. Methods Programs Biomed. 178 (2019)
Silvia Oviedo, Iván Contreras, Carmen Quirós, Marga Giménez, Ignacio Conget, Josep Vehí
Risk-based postprandial hypoglycemia forecasting using supervised learning. Int. J. Medical Informatics 126 (2019)
Ismael Herrera-Revilla, Iván Contreras, Graciela S. Herrera
The Divide-and-Conquer Framework: A Suitable Setting for the DDM of the Future. CoRR (2019)
Iván Contreras, Arthur Bertachi, Lyvia Biagi, Josep Vehí, Silvia Oviedo
Using Grammatical Evolution to Generate Short-term Blood Glucose Prediction Models. KHD@IJCAI (2018)
Arthur Bertachi, Lyvia Biagi, Iván Contreras, Ningsu Luo, Josep Vehí
Prediction of Blood Glucose Levels And Nocturnal Hypoglycemia Using Physiological Models and Artificial Neural Networks. KHD@IJCAI (2018)
Iván Contreras, José Ignacio Hidalgo, Laura Núñez-Letamendia, J. Manuel Velasco
A meta-grammatical evolutionary process for portfolio selection and trading. Genet. Program. Evolvable Mach. 18 (4) (2017)
Iván Contreras, José Ignacio Hidalgo, Laura Núñez-Letamendia
A hybrid automated trading system based on multi-objective grammatical evolution. J. Intell. Fuzzy Syst. 32 (3) (2017)
Iván Contreras, Stephan Kiefer, Josep Vehí
Adaptive Workflows for Diabetes Management: Self-Management Assistant and Remote Treatment for Diabetes. pHealth (2017)
Iván Contreras, Josep Vehí, Roberto Visentin, Martina Vettoretti
A Hybrid Clustering Prediction for Type 1 Diabetes Aid: Towards Decision Support Systems Based upon Scenario Profile Analysis. CHASE (2017)
Iván Contreras, Carmen Quirós, Marga Giménez, Ignacio Conget, Josep Vehí
Profiling intra-patient type I diabetes behaviors. Comput. Methods Programs Biomed. 136 (2016)
J. Manuel Colmenar, José Ignacio Hidalgo, Juan Lanchares, Oscar Garnica, José L. Risco-Martín, Iván Contreras, Almudena Sánchez, J. Manuel Velasco
Compilable Phenotypes: Speeding-Up the Evaluation of Glucose Models in Grammatical Evolution. EvoApplications (2) (2016)
Ismael Herrera-Revilla, Iván Contreras
Evidences that Software Based on Non-overlapping Discretization Is Most Efficient for Applying Highly Parallelized Supercomputers to Solving Partial Differential Equations. HPCA (China) (2015)
Iván Contreras, Ignacio Arnaldo, Natalio Krasnogor, José Ignacio Hidalgo
Blind optimisation problem instance classification via enhanced universal similarity metric. Memetic Comput. 6 (4) (2014)
Ignacio Arnaldo, Iván Contreras, David Millán-Ruiz, José Ignacio Hidalgo, Natalio Krasnogor
Matching island topologies to problem structure in parallel evolutionary algorithms. Soft Comput. 17 (7) (2013)
Iván Contreras, José Ignacio Hidalgo, Laura Núñez-Letamendia
Combining Technical Analysis and Grammatical Evolution in a Trading System. EvoApplications (2013)
Iván Contreras, José Ignacio Hidalgo, Laura Núñez-Letamendia
A GA Combining Technical and Fundamental Analysis for Trading the Stock Market. EvoApplications (2012)
Iván Contreras, Yiyi Jiang, José Ignacio Hidalgo, Laura Núñez-Letamendia
Using a GPU-CPU architecture to speed up a GA-based real-time system for trading the stock market. Soft Comput. 16 (2) (2012)