Iván Contreras

26 papers B 3Journal 17Unranked 5

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