José Manuel Velasco

Orcid: 0000-0001-5993-2521

According to our database1, José Manuel Velasco authored at least 32 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Learning Difference Equations with Structured Grammatical Evolution for Postprandial Glycaemia Prediction.
CoRR, 2023

Patterns Detection in Glucose Time Series by Domain Transformations and Deep Learning.
CoRR, 2023

Modelling the Transmission Dynamics of Obesity: A Multi-Objective Approach Using Dynamic Structured Grammatical Evolution.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
Blood glucose prediction using multi-objective grammatical evolution: analysis of the "agnostic" and "what-if" scenarios.
Genet. Program. Evolvable Mach., 2022

Approaching epistemic and aleatoric uncertainty with evolutionary optimization: examples and challenges.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Combining the Properties of Random Forest with Grammatical Evolution to Construct Ensemble Models.
Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022

Obtaining Difference Equations for Glucose Prediction by Structured Grammatical Evolution and Sparse Identification.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2022, 2022

2021
Glucose forecasting using genetic programming and latent glucose variability features.
Appl. Soft Comput., 2021

Probabilistic Fitting of Glucose Models with Real-Coded Genetic Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Blood Glucose Prediction Using a Two Phase TSK Fuzzy Rule Based System.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Noise spectral analysis and error estimation of continuous glucose monitors under real-life conditions of diabetes patients.
Biomed. Signal Process. Control., 2020

Glucose forecasting combining Markov chain based enrichment of data, random grammatical evolution and Bagging.
Appl. Soft Comput., 2020

Profiled glucose forecasting using genetic programming and clustering.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Analysis of the performance of Genetic Programming on the Blood Glucose Level Prediction Challenge 2020.
Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020

2019
Can clustering improve glucose forecasting with genetic programming models?
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
Combining data augmentation, EDAs and grammatical evolution for blood glucose forecasting.
Memetic Comput., 2018

Identification of Models for Glucose Blood Values in Diabetics by Grammatical Evolution.
Proceedings of the Handbook of Grammatical Evolution, 2018

2017
A meta-grammatical evolutionary process for portfolio selection and trading.
Genet. Program. Evolvable Mach., 2017

Forecasting glucose levels in patients with diabetes mellitus using semantic grammatical evolution and symbolic aggregate approximation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Enhancing Grammatical Evolution Through Data Augmentation: Application to Blood Glucose Forecasting.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

Embedded Grammars for Grammatical Evolution on GPGPU.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

Data augmentation and evolutionary algorithms to improve the prediction of blood glucose levels in scarcity of training data.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Compilable Phenotypes: Speeding-Up the Evaluation of Glucose Models in Grammatical Evolution.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

2015
Data-Based Identification of Prediction Models for Glucose.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2012
Memory power optimization of Java-based embedded systems exploiting garbage collection information.
J. Syst. Archit., 2012

2009
Exploration of memory hierarchy configurations for efficient garbage collection on high-performance embedded systems.
Proceedings of the 19th ACM Great Lakes Symposium on VLSI 2009, 2009

2007
Efficient Object Placement including Node Selection in a Distributed Virtual Machine.
Proceedings of the Parallel Computing: Architectures, 2007

2005
Energy Characterization of Garbage Collectors for Dynamic Applications on Embedded Systems.
Proceedings of the Integrated Circuit and System Design, 2005

Performance Evaluation of Barrier Techniques for Distributed Tracing Garbage Collectors.
Proceedings of the Parallel Computing: Current & Future Issues of High-End Computing, 2005

2004
Adaptive Tuning of Reserved Space in an Appel Collector.
Proceedings of the ECOOP 2004, 2004

Dynamic Management of Nursery Space Organization in Generational Collection.
Proceedings of the 8th Annual Workshop on Interaction between Compilers and Computer Architecture (INTERACT-8 2004), 2004

Garbage Collector Refinement for New Dynamic Multimedia Applications on Embedded Systems.
Proceedings of the 8th Annual Workshop on Interaction between Compilers and Computer Architecture (INTERACT-8 2004), 2004


  Loading...