Oscar Garnica

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 31

Top Topics

Evolvable Hardware

Grammatical Evolution

Evolutionary Algorithm

Top Venues

GECCO (Companion)

EvoApplications

GECCO Companion

Publications

José L. Risco-Martín, David Atienza, J. Manuel Colmenar, Oscar Garnica
A parallel evolutionary algorithm to optimize dynamic memory managers in embedded systems. CoRR (2024)
Juan Lanchares, Oscar Garnica, José L. Risco-Martín, José Ignacio Hidalgo, J. Manuel Colmenar, Alfredo Cuesta-Infante
Real Time Evolvable Hardware for Optimal Reconfiguration of Cusp-Like Pulse Shapers. CoRR (2024)
Jorge Cano, José Ignacio Hidalgo, Oscar Garnica, Juan Lanchares
Hardware design of a model generator based on grammars and cartesian genetic programming for blood glucose prediction. GECCO Companion (2023)
José Ignacio Hidalgo, José Manuel Velasco, Daniel Parra, Oscar Garnica
Genetic Programming Techniques for Glucose Prediction in People with Diabetes. GPTP (2023)
Josefa Díaz Álvarez, J. Manuel Colmenar, José L. Risco-Martín, Juan Lanchares, Oscar Garnica
Optimizing L1 cache for embedded systems through grammatical evolution. CoRR (2023)
Marina de la Cruz López, Oscar Garnica, José Ignacio Hidalgo
Tree-Based Grammatical Evolution with Non-Encoding Nodes. GECCO Companion (2023)
Josu Ceberio, Juan Carlos Cortés, Francisco Fernández de Vega, Oscar Garnica, José Ignacio Hidalgo, J. Manuel Velasco, Rafael-Jacinto Villanueva
Approaching epistemic and aleatoric uncertainty with evolutionary optimization: examples and challenges. GECCO Companion (2022)
Daniel Parra, Alberto Gutiérrez, José Manuel Velasco, Oscar Garnica, José Ignacio Hidalgo
Combining the Properties of Random Forest with Grammatical Evolution to Construct Ensemble Models. EvoApplications (2022)
Sergio Contador, J. Manuel Colmenar, Oscar Garnica, J. Manuel Velasco, José Ignacio Hidalgo
Blood glucose prediction using multi-objective grammatical evolution: analysis of the "agnostic" and "what-if" scenarios. Genet. Program. Evolvable Mach. 23 (2) (2022)
Daniel Parra, David Joedicke, Alberto Gutiérrez, J. Manuel Velasco, Oscar Garnica, J. Manuel Colmenar, José Ignacio Hidalgo
Obtaining Difference Equations for Glucose Prediction by Structured Grammatical Evolution and Sparse Identification. EUROCAST (2022)
Felix Tena, Oscar Garnica, Juan Lanchares, José Ignacio Hidalgo
A Critical Review of the state-of-the-art on Deep Neural Networks for Blood Glucose Prediction in Patients with Diabetes. CoRR (2021)
Felix Tena, Oscar Garnica, Juan Lanchares, José Ignacio Hidalgo
Ensemble Models of Cutting-Edge Deep Neural Networks for Blood Glucose Prediction in Patients with Diabetes. Sensors 21 (21) (2021)
Laura Millán, Gabriel Kronberger, José Ignacio Hidalgo, Ricardo Fernández, Oscar Garnica, Gaspar González-Doncel
Estimation of Grain-Level Residual Stresses in a Quenched Cylindrical Sample of Aluminum Alloy AA5083 Using Genetic Programming. EvoApplications (2021)
Sergio Contador, J. Manuel Velasco, Oscar Garnica, José Ignacio Hidalgo
Glucose forecasting using genetic programming and latent glucose variability features. Appl. Soft Comput. 110 (2021)
Sergio Contador, J. Manuel Colmenar, Oscar Garnica, José Ignacio Hidalgo
Short and Medium Term Blood Glucose Prediction Using Multi-objective Grammatical Evolution. EvoApplications (2020)
Oscar Garnica, Juan Lanchares, J. Manuel Velasco, José Ignacio Hidalgo, Marta Botella
Noise spectral analysis and error estimation of continuous glucose monitors under real-life conditions of diabetes patients. Biomed. Signal Process. Control. 61 (2020)
Oscar Garnica, Juan Lanchares, José Ignacio Hidalgo
Optimal Runtime Algorithm to Improve Fault Tolerance of Bus-Based Reconfigurable Designs. IEEE Trans. Very Large Scale Integr. Syst. 28 (4) (2020)
José Ignacio Hidalgo, Marta Botella, J. Manuel Velasco, Oscar Garnica, Carlos Cervigón, Remedios Martínez, Aranzazu Aramendi, Esther Maqueda, Juan Lanchares
Glucose forecasting combining Markov chain based enrichment of data, random grammatical evolution and Bagging. Appl. Soft Comput. 88 (2020)
Sergio Contactor, J. Manuel Velasco, Oscar Garnica, José Ignacio Hidalgo
Profiled glucose forecasting using genetic programming and clustering. SAC (2020)
José Ignacio Hidalgo, Ricardo Fernández, J. Manuel Colmenar, Oscar Garnica, Juan Lanchares, Gaspar González-Doncel
Determination of microscopic residual stresses using evolutionary algorithms. GECCO (Companion) (2019)
Nuno Lourenço, J. Manuel Colmenar, José Ignacio Hidalgo, Oscar Garnica
Structured grammatical evolution for glucose prediction in diabetic patients. GECCO (2019)
José Ignacio Hidalgo, Ricardo Fernández, Oscar Garnica, J. Manuel Colmenar, Juan Lanchares, Gaspar González-Doncel
Determination of microscopic residual stresses using diffraction methods, EBSD maps, and evolutionary algorithms. GECCO (Companion) (2019)
Sergio Contador, José Ignacio Hidalgo, Oscar Garnica, J. Manuel Velasco, Juan Lanchares
Can clustering improve glucose forecasting with genetic programming models? GECCO (Companion) (2019)
José Manuel Velasco, Oscar Garnica, Juan Lanchares, Marta Botella, José Ignacio Hidalgo
Combining data augmentation, EDAs and grammatical evolution for blood glucose forecasting. Memetic Comput. 10 (3) (2018)
Oscar Garnica, Kyrre Glette, Jim Tørresen
Comparing three online evolvable hardware implementations of a classification system. Genet. Program. Evolvable Mach. 19 (1-2) (2018)
José Manuel Velasco, Oscar Garnica, Sergio Contador, Marta Botella, Juan Lanchares, José Ignacio Hidalgo
Forecasting glucose levels in patients with diabetes mellitus using semantic grammatical evolution and symbolic aggregate approximation. GECCO (Companion) (2017)
José Manuel Velasco, Oscar Garnica, Sergio Contador, José Manuel Colmenar, Esther Maqueda, Marta Botella, Juan Lanchares, José Ignacio Hidalgo
Enhancing Grammatical Evolution Through Data Augmentation: Application to Blood Glucose Forecasting. EvoApplications (1) (2017)
José Ignacio Hidalgo, J. Manuel Colmenar, Gabriel Kronberger, Stephan M. Winkler, Oscar Garnica, Juan Lanchares
Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods. J. Medical Syst. 41 (9) (2017)
José Manuel Velasco, Oscar Garnica, Sergio Contador, Juan Lanchares, Esther Maqueda, Marta Botella, José Ignacio Hidalgo
Data augmentation and evolutionary algorithms to improve the prediction of blood glucose levels in scarcity of training data. CEC (2017)
Josefa Díaz Álvarez, J. Manuel Colmenar, José L. Risco-Martín, Juan Lanchares, Oscar Garnica
Optimizing L1 cache for embedded systems through grammatical evolution. Soft Comput. 20 (6) (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)
Josefa Díaz Álvarez, J. Manuel Colmenar, José L. Risco-Martín, Juan Lanchares, Oscar Garnica
Optimizing Performance of L1 Cache Memory for Embedded Systems driven by Differential Evolution. GECCO (Companion) (2015)
J. Manuel Velasco, Stephan M. Winkler, José Ignacio Hidalgo, Oscar Garnica, Juan Lanchares, J. Manuel Colmenar, Esther Maqueda, Marta Botella, José Antonio Rubio
Data-Based Identification of Prediction Models for Glucose. GECCO (Companion) (2015)
José Ignacio Hidalgo, J. Manuel Colmenar, José Luis Risco-Martín, Carlos Sánchez-Lacruz, Juan Lanchares, Oscar Garnica, Josefa Díaz
Solving GA-hard problems with EMMRS and GPGPUs. GECCO (2014)
José Ignacio Hidalgo, J. Manuel Colmenar, José Luis Risco-Martín, Esther Maqueda, Marta Botella, José Antonio Rubio, Alfredo Cuesta-Infante, Oscar Garnica, Juan Lanchares
Clarke and parkes error grid analysis of diabetic glucose models obtained with evolutionary computation. GECCO (Companion) (2014)
Juan Lanchares, Oscar Garnica, Francisco Fernández de Vega, José Ignacio Hidalgo
A review of bioinspired computer-aided design tools for hardware design. Concurr. Comput. Pract. Exp. 25 (8) (2013)
Sonia López, Oscar Garnica, David H. Albonesi, Steven G. Dropsho, Juan Lanchares, José Ignacio Hidalgo
A phase adaptive cache hierarchy for SMT processors. Microprocess. Microsystems 35 (8) (2011)
José Manuel Colmenar, José L. Risco-Martín, David Atienza, Oscar Garnica, José Ignacio Hidalgo, Juan Lanchares
Improving reliability of embedded systems through dynamic memory manager optimization using grammatical evolution. GECCO (2010)
José L. Risco-Martín, David Atienza, José Manuel Colmenar, Oscar Garnica
A parallel evolutionary algorithm to optimize dynamic memory managers in embedded systems. Parallel Comput. 36 (10-11) (2010)
J. Manuel Colmenar, Oscar Garnica, Juan Lanchares, José Ignacio Hidalgo
Simulating a LAGS processor to consider variable latency on L1 D-Cache. SummerSim (2010)
Josefa Díaz, Francisco Fernández de Vega, José Ignacio Hidalgo, Oscar Garnica
Parisian Approach - Reducing Computational Effort to Improve SMT Performance by setting Resizable Caches. IJCCI (ICEC) (2010)
Sonia López, Oscar Garnica, David H. Albonesi, Steven G. Dropsho, Juan Lanchares, José Ignacio Hidalgo
Adaptive Cache Memories for SMT Processors. DSD (2010)
José Luis Risco-Martín, José Ignacio Hidalgo, David Atienza, Juan Lanchares, Oscar Garnica
Mixed heuristic and mathematical programming using reference points for dynamic data types optimization in multimedia embedded systems. GECCO (2009)
José Manuel Colmenar, Oscar Garnica, Juan Lanchares, José Ignacio Hidalgo
Characterizing asynchronous variable latencies through probability distribution functions. Microprocess. Microsystems 33 (7-8) (2009)
Josefa Díaz, José Ignacio Hidalgo, Francisco Fernández, Oscar Garnica, Sonia López
Improving SMT performance: an application of genetic algorithms to configure resizable caches. GECCO (Companion) (2009)
José L. Risco-Martín, Oscar Garnica, Juan Lanchares, José Ignacio Hidalgo, David Atienza
Particle swarm optimisation of memory usage in embedded systems. Int. J. High Perform. Syst. Archit. 1 (4) (2008)
José L. Risco-Martín, José Ignacio Hidalgo, Juan Lanchares, Oscar Garnica
Solving discrete deceptive problems with EMMRS. GECCO (2008)
José Manuel Colmenar, Noelia Morón, Oscar Garnica, Juan Lanchares, José Ignacio Hidalgo
Modelling Asynchronous Systems using Probability Distribution Functions. PDP (2008)
Sonia López, Steve Dropsho, David H. Albonesi, Oscar Garnica, Juan Lanchares
Dynamic Capacity-Speed Tradeoffs in SMT Processor Caches. HiPEAC (2007)
Guadalupe Miñana, José Ignacio Hidalgo, Juan Lanchares, José Manuel Colmenar, Oscar Garnica, Sonia López
Reducing power of functional units in high-performance processors by checking instruction codes and resizing adders. IET Comput. Digit. Tech. 1 (2) (2007)
Sonia López, Steven G. Dropsho, David H. Albonesi, Oscar Garnica, Juan Lanchares
Rate-Driven Control of Resizable Caches for Highly Threaded SMT Processors. PACT (2007)
Guadalupe Miñana, José Ignacio Hidalgo, Oscar Garnica, Juan Lanchares, José Manuel Colmenar, Sonia López
A Technique to Reduce Static and Dynamic Power of Functional Units in High-Performance Processors. PATMOS (2006)
José Manuel Colmenar, Oscar Garnica, Juan Lanchares, José Ignacio Hidalgo, Guadalupe Miñana, Sonia López
Comparing the Performance of a 64-bit Fully-Asynchronous Superscalar Processor versus its Synchronous Counterpart. DSD (2006)
Guadalupe Miñana, Oscar Garnica, José Ignacio Hidalgo, Juan Lanchares, José Manuel Colmenar
A Power-Aware Technique for Functional Units in High-Performance Processors. DSD (2006)
José Manuel Colmenar, Oscar Garnica, Juan Lanchares, José Ignacio Hidalgo, Guadalupe Miñana, Sonia López
Sim-async: An Architectural Simulator for Asynchronous Processor Modeling Using Distribution Functions. Euro-Par (2006)
Guadalupe Miñana, Oscar Garnica, José Ignacio Hidalgo, Juan Lanchares, José Manuel Colmenar
Power Reduction of Superscalar Processor Functional Units by Resizing Adder-Width. PATMOS (2005)
José Manuel Colmenar, Oscar Garnica, Sonia López, José Ignacio Hidalgo, Juan Lanchares, Román Hermida
Empirical Characterization of the Latency of Long Asynchronous Pipelines with Data-Dependent Module Delays. PDP (2004)
Sonia López, Oscar Garnica, José Manuel Colmenar
Enhancing GALS Processor Performance Using Data Classification Based on Data Latency. PATMOS (2004)
Sonia López, Oscar Garnica, José Ignacio Hidalgo, Juan Lanchares, Román Hermida
Power-Consumption RRRRreduction in Asynchronous Circuits Using Delay Path Unequalization. PATMOS (2003)
José Ignacio Hidalgo, Manuel Prieto, Juan Lanchares, Ranieri Baraglia, Francisco Tirado, Oscar Garnica
Hybrid Parallelization of a Compact Genetic Algorithm. PDP (2003)
José Ignacio Hidalgo, Francisco Fernández, Juan Lanchares, Juan Manuel Sánchez-Pérez, Román Hermida, Marco Tomassini, Ranieri Baraglia, Raffaele Perego, Oscar Garnica
Multi-FPGA Systems Synthesis by Means of Evolutionary Computation. GECCO (2003)
Oscar Garnica, Juan Lanchares, Román Hermida
Optimization of Asynchronous Delay-Insensitive Pipeline Latency Using Stage Reorganization and Optimal Stage Parameter Estimation. Fundam. Informaticae 50 (2) (2002)
Oscar Garnica, Juan Lanchares, Román Hermida
A New Methodology to Design Low-Power Asynchronous Circuits. PATMOS (2002)
Oscar Garnica, Juan Lanchares, Román Hermida
Optimization of Asynchronous Delay-Insensitive Pipeline Latency Using Stage Reorganization and Optimal Stage Parameter Estimation. ACSD (2001)
Oscar Garnica, Juan Lanchares, Román Hermida
A pseudo delay-insensitive timing model to synthesizing low-power asynchronous circuits. DATE (2001)