O. Garnica

发表

Real-time evolvable pulse shaper for radiation measurements

J. Lanchares, O. Garnica, J. L. Risco-Martín, 2013 .

Evaluating the Influence of Mood and Stress on Glycemic Variability in People with T1DM Using Glucose Monitoring Sensors and Pools

A. Sánchez-Sánchez, J. Lanchares, O. Garnica, 2022, Diabetology.

Approaching epistemic and aleatoric uncertainty with evolutionary optimization: examples and challenges

Josu Ceberio, J. Cortés, R. Villanueva, 2022, GECCO Companion.

Improving SMT performance: an application of genetic algorithms to configure resizable caches

José Ignacio Hidalgo, Oscar Garnica, Francisco Fernández, 2009, GECCO '09.

Glucose forecasting using genetic programming and latent glucose variability features

José Ignacio Hidalgo, Oscar Garnica, J. Manuel Velasco, 2021, Appl. Soft Comput..

Solving GA-hard problems with EMMRS and GPGPUs

José Ignacio Hidalgo, Josefa Díaz, José Luis Risco-Martín, 2014, GECCO.

Glucose forecasting combining Markov chain based enrichment of data, random grammatical evolution and Bagging

Oscar Garnica, Juan Lanchares, J. Ignacio Hidalgo, 2020, Appl. Soft Comput..

Recovery of Particle Detector Degeneration Based on the Pulse Height Spectrum of an Adaptive Trapezoidal Pulse Shaper

Oscar Garnica, Juan Lanchares, J. Ignacio Hidalgo, 2017, IEEE Transactions on Nuclear Science.

Real time evolvable hardware for optimal reconfiguration of cusp-like pulse shapers

Alfredo Cuesta-Infante, J. Lanchares, O. Garnica, 2014 .

A review of bioinspired computer‐aided design tools for hardware design

José Ignacio Hidalgo, Francisco Fernández de Vega, Oscar Garnica, 2013, Concurr. Comput. Pract. Exp..

Ensemble Models of Cutting-Edge Deep Neural Networks for Blood Glucose Prediction in Patients with Diabetes

José Ignacio Hidalgo, Oscar Garnica, Juan Lanchares, 2021, Sensors.

Optimal Runtime Algorithm to Improve Fault Tolerance of Bus-Based Reconfigurable Designs

José Ignacio Hidalgo, Oscar Garnica, Juan Lanchares, 2020, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

Combining the Properties of Random Forest with Grammatical Evolution to Construct Ensemble Models

O. Garnica, J. Hidalgo, J. M. Velasco, 2022, EvoApplications.

Noise spectral analysis and error estimation of continuous glucose monitors under real-life conditions of diabetes patients

Oscar Garnica, Juan Lanchares, Marta Botella, 2020, Biomed. Signal Process. Control..

Mixed heuristic and mathematical programming using reference points for dynamic data types optimization in multimedia embedded systems

José Ignacio Hidalgo, David Atienza, José Luis Risco-Martín, 2009, GECCO.

Particle swarm optimisation of memory usage in embedded systems

José Ignacio Hidalgo, José Luis Risco-Martín, Oscar Garnica, 2008, Int. J. High Perform. Syst. Archit..

A phase adaptive cache hierarchy for SMT processors

José Ignacio Hidalgo, David H. Albonesi, Oscar Garnica, 2011, Microprocess. Microsystems.

Adaptive Cache Memories for SMT Processors

Ren Dawei, Yang Ning, Gai Lili, 2010, 2010 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools.

Simulating a LAGS processor to consider variable latency on L1 D-Cache

José Ignacio Hidalgo, Oscar Garnica, Juan Lanchares, 2010, SummerSim.

Dynamic Capacity-Speed Tradeoffs in SMT Processor Caches

David H. Albonesi, Oscar Garnica, Juan Lanchares, 2007, HiPEAC.

Determination of microscopic residual stresses using evolutionary algorithms

José Ignacio Hidalgo, Oscar Garnica, Juan Lanchares, 2019, GECCO.

Data augmentation and evolutionary algorithms to improve the prediction of blood glucose levels in scarcity of training data

José Ignacio Hidalgo, Oscar Garnica, Juan Lanchares, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Identification of Blood Glucose Patterns through Continuous Glucose Monitoring Sensors and DecisionTrees

Francisco José Lozano Serrano, J. Lanchares, O. Garnica, 2020, medRxiv.

Blood glucose prediction using multi-objective grammatical evolution: analysis of the “agnostic” and “what-if” scenarios

O. Garnica, J. Hidalgo, J. Colmenar, 2021, Genetic Programming and Evolvable Machines.

Short and Medium Term Blood Glucose Prediction Using Multi-objective Grammatical Evolution

José Ignacio Hidalgo, Oscar Garnica, J. Manuel Colmenar, 2020, EvoApplications.

Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods

José Ignacio Hidalgo, Stephan M. Winkler, Gabriel Kronberger, 2017, Journal of Medical Systems.

Identification of Models for Glucose Blood Values in Diabetics by Grammatical Evolution

José Ignacio Hidalgo, Stephan M. Winkler, Gabriel Kronberger, 2018, Handbook of Grammatical Evolution.

Structured grammatical evolution for glucose prediction in diabetic patients

Nuno Lourenço, José Ignacio Hidalgo, Oscar Garnica, 2019, GECCO.

Diagnosing hospital bacteraemia in the framework of predictive, preventive and personalised medicine using electronic health records and machine learning classifiers

O. Garnica, J. Hidalgo, Diego Gómez, 2021, EPMA Journal.

A Critical Review of the state-of-the-art on Deep Neural Networks for Blood Glucose Prediction in Patients with Diabetes pdf

Oscar Garnica, Juan Lanchares, J. Ignacio Hidalgo, 2021, ArXiv.

Optimizing L1 cache for embedded systems through grammatical evolution

Josefa Díaz, José Luis Risco-Martín, Oscar Garnica, 2015, Soft Computing.

Reducing power of functional units in high-performance processors by checking instruction codes and resizing adders

José Ignacio Hidalgo, Guadalupe Miñana, Oscar Garnica, 2007, IET Comput. Digit. Tech..

Profiled glucose forecasting using genetic programming and clustering

Oscar Garnica, J. Ignacio Hidalgo, Sergio Contactor, 2020, SAC.

Can clustering improve glucose forecasting with genetic programming models?

José Ignacio Hidalgo, Oscar Garnica, Juan Lanchares, 2019, GECCO.

Forecasting glucose levels in patients with diabetes mellitus using semantic grammatical evolution and symbolic aggregate approximation

José Ignacio Hidalgo, Oscar Garnica, Juan Lanchares, 2017, GECCO.

Data-Based Identification of Prediction Models for Glucose

José Ignacio Hidalgo, Stephan M. Winkler, Oscar Garnica, 2015, GECCO.

Multi-FPGA Systems Synthesis by Means of Evolutionary Computation

José Ignacio Hidalgo, Marco Tomassini, Román Hermida, 2003, GECCO.