Ernesto Tarantino

According to our database1, Ernesto Tarantino authored at least 94 papers between 1992 and 2024.

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

Timeline

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Bibliography

2024
Model-Free-Communication Federated Learning: Framework and application to Precision Medicine.
Biomed. Signal Process. Control., January, 2024

2023
A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction.
Sensors, March, 2023

Reducing high-risk glucose forecasting errors by evolving interpretable models for Type 1 diabetes.
Appl. Soft Comput., February, 2023

2022
Distributed Assessment of Virtual Insulin-Pump Settings Using SmartCGMS and DMMS.R for Diabetes Treatment.
Sensors, 2022

An Evolution-based Machine Learning Approach for Inducing Glucose Prediction Models.
Proceedings of the IEEE Symposium on Computers and Communications, 2022

2021
Grammatical Evolution-Based Approach for Extracting Interpretable Glucose-Dynamics Models.
Proceedings of the IEEE Symposium on Computers and Communications, 2021

Prediction of personalized blood glucose levels in type 1 diabetic patients using a neuroevolution approach.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
Coronavirus Covid-19 spreading in Italy: optimizing an epidemiological model with dynamic social distancing through Differential Evolution.
CoRR, 2020

Dynamic Load Balancing Based on Multi-Objective Extremal optimization.
Proceedings of the 19th International Symposium on Parallel and Distributed Computing, 2020

A Grammatical Evolution Approach for Estimating Blood Glucose Levels.
Proceedings of the IEEE Globecom Workshops, 2020

Exploiting multi-objective parallel extremal optimization features in dynamic load balancing.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Exploiting multi-core and GPU hardware to speed up the registration of range images by means of Differential Evolution.
J. Parallel Distributed Comput., 2019

A mobile personalized tourist guide and its user evaluation.
J. Inf. Technol. Tour., 2019

Evolution-based configuration optimization of a Deep Neural Network for the classification of Obstructive Sleep Apnea episodes.
Future Gener. Comput. Syst., 2019

A genetic programming-based regression for extrapolating a blood glucose-dynamics model from interstitial glucose measurements and their first derivatives.
Appl. Soft Comput., 2019

Comparing the PaGMO Framework to a De-randomized Meta-Differential Evolution on Calculation and Prediction of Glucose Levels.
Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

Distributed Processor Load Balancing Based on Multi-objective Extremal Optimization.
Proceedings of the Internet and Distributed Computing Systems, 2019

De-randomized Meta-Differential Evolution for Calculating and Predicting Glucose Levels.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

2018
Genetic Programming-based induction of a glucose-dynamics model for telemedicine.
J. Netw. Comput. Appl., 2018

An evolutionary methodology for estimating blood glucose levels from interstitial glucose measurements and their derivatives.
Proceedings of the 2018 IEEE Symposium on Computers and Communications, 2018

Deep Neural Network Hyper-Parameter Setting for Classification of Obstructive Sleep Apnea Episodes.
Proceedings of the 2018 IEEE Symposium on Computers and Communications, 2018

Effective processor load balancing using multi-objective parallel extremal optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Preliminary Steps towards Efficient Classification in Large Medical Datasets: Structure Optimization for Deep Learning Networks through Parallelized Differential Evolution.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

An Evolutionary Approach for Estimating the Blood Glucose by Exploiting Interstitial Glucose Measurements.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

2017
Multi-Objective Extremal Optimization in Processor Load Balancing for Distributed Programs.
Proceedings of the Parallel Processing and Applied Mathematics, 2017

Accurate estimate of Blood Glucose through Interstitial Glucose by Genetic Programming.
Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017

Multi-objective parallel extremal optimization in processor load balancing for distributed programs.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Exploiting diversity in an asynchronous migration model for distributed differential evolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
Optimizing Personalized Touristic Itineraries by a Multiobjective Evolutionary Algorithm.
Int. J. Inf. Technol. Decis. Mak., 2016

Parallel extremal optimization in processor load balancing for distributed applications.
Appl. Soft Comput., 2016

Fast Range Image Registration by an Asynchronous Adaptive Distributed Differential Evolution.
Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems, 2016

A Differential Evolution approach for classification of Multiple Sclerosis lesions.
Proceedings of the IEEE Symposium on Computers and Communication, 2016

An asynchronous adaptive multi-population model for distributed differential evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Mapping of time-consuming multitask applications on a cloud system by multiobjective Differential Evolution.
Parallel Comput., 2015

Extremal Optimization applied to load balancing in execution of distributed programs.
Appl. Soft Comput., 2015

Parallel Extremal Optimization with Guided Search and Crossover Applied to Load Balancing.
Proceedings of the Parallel Processing and Applied Mathematics, 2015

A Multiobjective Evolutionary Algorithm for Personalized Tours in Street Networks.
Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

Parallel Extremal Optimization with Guided State Changes Applied to Load Balancing.
Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

2014
An adaptive invasion-based model for distributed Differential Evolution.
Inf. Sci., 2014

Two new fast heuristics for mapping parallel applications on cloud computing.
Future Gener. Comput. Syst., 2014

Extremal Optimization with Guided State Changes in Load Balancing of Distributed Programs.
Proceedings of the 22nd Euromicro International Conference on Parallel, 2014

Using an adaptive invasion-based model for fast range image registration.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Improving Extremal Optimization in Load Balancing by Local Search.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

Impact of the Topology on the Performance of Distributed Differential Evolution.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

2013
Load Balancing in Distributed Applications Based on Extremal Optimization.
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

Adding Chaos to Differential Evolution for Range Image Registration.
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

2012
Biological invasion-inspired migration in distributed evolutionary algorithms.
Inf. Sci., 2012

2011
A distributed evolutionary approach for multisite mapping on grids.
Concurr. Comput. Pract. Exp., 2011

Extremal Optimization Applied to Task Scheduling of Distributed Java Programs.
Proceedings of the Applications of Evolutionary Computation, 2011

A Model Based on Biological Invasions for Island Evolutionary Algorithms.
Proceedings of the Artificial Evolution, 2011

2010
An adaptive multisite mapping for computationally intensive grid applications.
Future Gener. Comput. Syst., 2010

A Distributed Bio-Inspired Method for Multisite Grid Mapping.
Appl. Comput. Intell. Soft Comput., 2010

Distributed Java Programs Initial Mapping Based on Extremal Optimization.
Proceedings of the Applied Parallel and Scientific Computing, 2010

Extremal Optimization Approach Applied to Initial Mapping of Distributed Java Programs.
Proceedings of the Euro-Par 2010 - Parallel Processing, 16th International Euro-Par Conference, Ischia, Italy, August 31, 2010

2009
An innovative perspective on mapping in grids.
Proceedings of the 2009 workshop on Bio-inspired algorithms for distributed systems, 2009

Extremal Optimization as a Viable Means for Mapping in Grids.
Proceedings of the Applications of Evolutionary Computing, 2009

Extremal Optimization Dynamics in Neutral Landscapes: The Royal Road Case.
Proceedings of the Artifical Evolution, 2009

2008
Differential Evolution as a viable tool for satellite image registration.
Appl. Soft Comput., 2008

Automatic Recognition of Hand Gestures with Differential Evolution.
Proceedings of the Applications of Evolutionary Computing, 2008

CTRNN Parameter Learning using Differential Evolution.
Proceedings of the ECAI 2008, 2008

2007
Facing classification problems with Particle Swarm Optimization.
Appl. Soft Comput., 2007

A Multiobjective Evolutionary Approach for Multisite Mapping on Grids.
Proceedings of the Parallel Processing and Applied Mathematics, 2007

A Distributed Differential Evolution Approach for Mapping in a Grid Environment.
Proceedings of the 15th Euromicro International Conference on Parallel, 2007

Distributed Differential Evolution for the Registration of Remotely Sensed Images.
Proceedings of the 15th Euromicro International Conference on Parallel, 2007

Multiobjective Differential Evolution for Mapping in a Grid Environment.
Proceedings of the High Performance Computing and Communications, 2007

Satellite Image Registration by Distributed Differential Evolution.
Proceedings of the Applications of Evolutinary Computing, 2007

Parsimony Doesn't Mean Simplicity: Genetic Programming for Inductive Inference on Noisy Data.
Proceedings of the Genetic Programming, 10th European Conference, 2007

2006
Automatic Classification of Handsegmented Image Parts with Differential Evolution.
Proceedings of the Applications of Evolutionary Computing, 2006

A Genetic Programming Approach to Solomonoff's Probabilistic Induction.
Proceedings of the Genetic Programming, 9th European Conference, 2006

2005
An evolutionary approach for automatically extracting intelligible classification rules.
Knowl. Inf. Syst., 2005

Evaluation of Particle Swarm Optimization Effectiveness in Classification.
Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005

Genetic Programming for Inductive Inference of Chaotic Series.
Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005

Inductive inference of chaotic series by Genetic Programming: a Solomonoff-based approach.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

A novel grammar-based genetic programming approach to clustering.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

A new variable-length genome genetic algorithm for data clustering in semeiotics.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

2004
A Genetic Algorithm with Self-sizing Genomes for Data Clustering in Dermatological Semeiotics.
Proceedings of the Applied Soft Computing Technologies: The Challenge of Complexity, Proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), September 20th, 2004

An Innovative Approach to Genetic Programming - based Clustering.
Proceedings of the Applied Soft Computing Technologies: The Challenge of Complexity, Proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), September 20th, 2004

2002
Mutation-based genetic algorithm: performance evaluation.
Appl. Soft Comput., 2002

Discovering interesting classification rules with genetic programming.
Appl. Soft Comput., 2002

Unsupervised spectral pattern recognition for multispectral images by means of a genetic programming approach.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2000
A Kolmogorov Complexity-based Genetic Programming Tool for String Compression.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

An evolutionary system for automatic explicit rule extraction.
Proceedings of the 2000 Congress on Evolutionary Computation, 2000

1999
A new mutation operator for evolutionary airfoil design.
Soft Comput., 1999

Towards a Simulation of Natural Mutation.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

1998
Parallel Image Understanding Algorithms on MIMD Multicomputers.
Computing, 1998

Evolutionary Neural Networks for Nonlinear Dynamics Modeling.
Proceedings of the Parallel Problem Solving from Nature, 1998

1997
An Analysis of Parallel Heuristics for Task Allocation in Multicomputers.
Computing, 1997

Genetic Programming Estimates of Kolmogorov Complexity.
Proceedings of the 7th International Conference on Genetic Algorithms, 1997

1996
Investigating a Parallel Breeder Genetic Algorithm on the Inverse Aerodynamic Design.
Proceedings of the Parallel Problem Solving from Nature, 1996

Breeder Genetic Algorithms for Airfoil Design Optimisation.
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

1995
Comparing Parallel Tabu Search and Parallel Genetic Algorithms on the Task Allocation Problem.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 1995

1994
Improving Search by Incorporating Evolution Principles in Parallel Tabu Search.
Proceedings of the First IEEE Conference on Evolutionary Computation, 1994

Solving the Mapping Problem by Parallel Tabu Search.
Proceedings of the 12st IASTED International Conference on Applied Informatics, 1994

1992
Simulation of Genetic Algorithms on MIMD Multicomputers.
Parallel Process. Lett., 1992


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