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- A cross-platform assessment of energy consumption in evolutionary algorithms towards energy-aware bioinspired algorithms
- A fuzzy rule-based system to predict energy consumption of genetic programming algorithms
- A methodology to automatically optimize dynamic memory managers applying grammatical evolution
- An application of machine learning with feature selection to improve diagnosis and classification of neurodegenerative disorders
- Clustering analysis of FDG-Pet imaging in primary progressive aphasia
- CodingFarm: Videogame as a tool to support the teaching of programming concepts
- Cognitive systems for dark web cyber delinquent association malignant data crawling: A review
- Comparison of metaheuristics for workforce distribution in multi-skill call centres
- Diagnosis of Alzheimer's disease and behavioural variant frontotemporal dementia with machine learning-aided neuropsychological assessment using feature engineering and genetic algorithms
- Energy-consumption prediction of genetic programming algorithms using a fuzzy rule-based system
- Estimating energy consumption in evolutionary algorithms by means of FRBS: Towards energy-aware bioinspired algorithms
- Evolutionary design of the memory subsystem
- Eficiencia energética en Algoritmos Genéticos
- GA-MADRID: design and validation of a machine learning tool for the diagnosis of Alzheimer’s disease and frontotemporal dementia using genetic algorithms
- Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging
- Improving SMT Performance: An Application of Genetic Algorithms to Configure Resizable Caches
- Looking for Energy Efficient Genetic Algorithms
- Machine learning in the clinical and language characterisation of primary progressive aphasia variants
- Multi-objective optimization of energy consumption and execution time in a single level cache memory for embedded systems
- Optimizing L1 cache for embedded systems through grammatical evolution
- Optimizing Performance of L1 Cache Memory for Embedded Systems driven by Differential Evolution
- Parisian approach: Reducing computational effort to improve SMT performance by setting resizable caches
- Plum Ripeness Analysis in Real Environments Using Deep Learning with Convolutional Neural Networks
- Population size influence on the energy consumption of genetic programming
- Potenciación de las competencias transversales en titulaciones técnicas
- Quantifying the impact of dynamic memory managers into memory-intensive applications
- Solving GA-Hard problems with EMMRS and GPGPUs
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