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An Evolutionary Approach to Time-Optimal Control of Robotic Manipulators

Journal of intelligent & robotic systems, 2020-08, Vol.99 (2), p.245-260

2020

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Automatic Diagnosis of Neurodegenerative Diseases: An Evolutionary Approach for Facing the Interpretability Problem

Information (Basel), 2019-01, Vol.10 (1), p.30

2019

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Investigating surrogate-assisted cooperative coevolution for large-Scale global optimization

Information sciences, 2019-05, Vol.482, p.1-26

2019

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Mimicking the immune system to diagnose Parkinson's disease from handwriting

2022 26th International Conference on Pattern Recognition (ICPR), 2022, p.2496-2502

2022

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A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction

Sensors (Basel, Switzerland), 2023-03, Vol.23 (6), p.2957

2023

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Distributed Assessment of Virtual Insulin-Pump Settings Using SmartCGMS and DMMS.R for Diabetes Treatment

Sensors (Basel, Switzerland), 2022-12, Vol.22 (23), p.9445

2022

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An Evolution-based Machine Learning Approach for Inducing Glucose Prediction Models

2022 IEEE Symposium on Computers and Communications (ISCC), 2022, p.1-6

2022

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Where Are the Niches? Dynamic Fitness Sharing

IEEE transactions on evolutionary computation, 2007-08, Vol.11 (4), p.453-465

2007

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Automatic Diagnosis of Parkinson Disease through Handwriting Analysis: A Cartesian Genetic Programming Approach

2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), 2019, p.312-317

2019

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On the Structural Shape Optimization through Variational Methods and Evolutionary Algorithms

Mechanics of advanced materials and structures, 2011-06, Vol.18 (4), p.225-243

2011

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Deep Neural Network Hyper-Parameter Setting for Classification of Obstructive Sleep Apnea Episodes

2018 IEEE Symposium on Computers and Communications (ISCC), 2018, p.01187-01192

2018

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De-randomized Meta-Differential Evolution for Calculating and Predicting Glucose Levels

2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), 2019, p.269-274

2019

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A Decision Tree for Automatic Diagnosis of Parkinson’s Disease from Offline Drawing Samples: Experiments and Findings

Image Analysis and Processing – ICIAP 2019, p.196-206

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Impact of the Topology on the Performance of Distributed Differential Evolution

Applications of Evolutionary Computation, p.75-85

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Evolution-based configuration optimization of a Deep Neural Network for the classification of Obstructive Sleep Apnea episodes

Future generation computer systems, 2019-09, Vol.98, p.377-391

2019

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Investigating One-Class Classifiers to Diagnose Alzheimer’s Disease from Handwriting

Image Analysis and Processing – ICIAP 2022, p.111-123

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A Genetic Programming Approach to Solomonoff’s Probabilistic Induction

Genetic Programming, 2006, p.24-35

2006

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Genetic Programming-based induction of a glucose-dynamics model for telemedicine

Journal of network and computer applications, 2018-10, Vol.119, p.1-13

2018

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Negative Selection Algorithm for Alzheimer’s Diagnosis: Design and Performance Evaluation

Applications of Evolutionary Computation, p.531-546

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Genetic algorithms applied to the aerodynamic design of transonic airfoils

Journal of aircraft, 1995-07, Vol.32 (4), p.889-891

1995

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Multiobjective Differential Evolution for Mapping in a Grid Environment

High Performance Computing and Communications, p.322-333

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Fast Range Image Registration by an Asynchronous Adaptive Distributed Differential Evolution

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2016, p.643-651

2016

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Genetic Programming: 11th European Conference, EuroGP 2008, Naples, Italy, March 26-28, 2008, Proceedings

2008 edition., 2008

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Extremal Optimization as a Viable Means for Mapping in Grids

Applications of Evolutionary Computing, p.41-50

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On the role of population size and niche radius in fitness sharing

IEEE transactions on evolutionary computation, 2004-12, Vol.8 (6), p.580-592

2004

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An Evolutionary Approach to Time-Optimal Control of Robotic Manipulators

Automatic Diagnosis of Neurodegenerative Diseases: An Evolutionary Approach for Facing the Interpretability Problem

Investigating surrogate-assisted cooperative coevolution for large-Scale global optimization

Mimicking the immune system to diagnose Parkinson's disease from handwriting

A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction

Distributed Assessment of Virtual Insulin-Pump Settings Using SmartCGMS and DMMS.R for Diabetes Treatment

An Evolution-based Machine Learning Approach for Inducing Glucose Prediction Models

Where Are the Niches? Dynamic Fitness Sharing

Automatic Diagnosis of Parkinson Disease through Handwriting Analysis: A Cartesian Genetic Programming Approach

On the Structural Shape Optimization through Variational Methods and Evolutionary Algorithms

Deep Neural Network Hyper-Parameter Setting for Classification of Obstructive Sleep Apnea Episodes

De-randomized Meta-Differential Evolution for Calculating and Predicting Glucose Levels

A Decision Tree for Automatic Diagnosis of Parkinson’s Disease from Offline Drawing Samples: Experiments and Findings

Impact of the Topology on the Performance of Distributed Differential Evolution

Evolution-based configuration optimization of a Deep Neural Network for the classification of Obstructive Sleep Apnea episodes

Investigating One-Class Classifiers to Diagnose Alzheimer’s Disease from Handwriting

A Genetic Programming Approach to Solomonoff’s Probabilistic Induction

Genetic Programming-based induction of a glucose-dynamics model for telemedicine

Negative Selection Algorithm for Alzheimer’s Diagnosis: Design and Performance Evaluation

Genetic algorithms applied to the aerodynamic design of transonic airfoils

Multiobjective Differential Evolution for Mapping in a Grid Environment

Fast Range Image Registration by an Asynchronous Adaptive Distributed Differential Evolution

Genetic Programming: 11th European Conference, EuroGP 2008, Naples, Italy, March 26-28, 2008, Proceedings

Extremal Optimization as a Viable Means for Mapping in Grids

On the role of population size and niche radius in fitness sharing

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