Antonio Della Cioppa

Orcid: 0000-0002-4092-6102

According to our database1, Antonio Della Cioppa authored at least 94 papers between 1996 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

Mimicking the immune system to diagnose Parkinson's disease from handwriting.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Investigating One-Class Classifiers to Diagnose Alzheimer's Disease from Handwriting.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Negative Selection Algorithm for Alzheimer's Diagnosis: Design and Performance Evaluation.
Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022

2021
Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues.
Artif. Intell. Medicine, 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
An Evolutionary Approach to Time-Optimal Control of Robotic Manipulators.
J. Intell. Robotic Syst., 2020

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

Parkinson's Disease Diagnosis: Towards Grammar-based Explainable Artificial Intelligence.
Proceedings of the IEEE Symposium on Computers and Communications, 2020

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

Learning to walk - reward relevance within an enhanced neuroevolution approach.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks.
Proceedings of the Applications of Evolutionary Computation - 23rd European 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

Investigating surrogate-assisted cooperative coevolution for large-Scale global optimization.
Inf. Sci., 2019

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

A Decision Tree for Automatic Diagnosis of Parkinson's Disease from Offline Drawing Samples: Experiments and Findings.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Automatic Diagnosis of Parkinson Disease through Handwriting Analysis: A Cartesian Genetic Programming Approach.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical 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

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

Large scale optimization of computationally expensive functions: an approach based on parallel cooperative coevolution and fitness metamodeling.
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
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 genetic programming approach to modeling power losses of Insulate Gate Bipolar Transistors.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

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

2015
An evolutionary approach to the dynamical reconfiguration of photovoltaic fields.
Neurocomputing, 2015

Identification of ferrite core inductors parameters by evolutionary algorithms.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015

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

Using an adaptive invasion-based model for fast range image registration.
Proceedings of the Genetic and Evolutionary Computation 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
Evolutionary approaches for pooling classifier ensembles: Performance evaluation.
Proceedings of the 2013 International Conference on Soft Computing and Pattern Recognition, 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
Speciation in evolutionary algorithms: adaptive species discovery.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

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

2010
A Distributed Bio-Inspired Method for Multisite Grid Mapping.
Appl. Comput. Intell. Soft Comput., 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
Where Are the Niches? Dynamic Fitness Sharing.
IEEE Trans. Evol. Comput., 2007

Deterministic and Evolutionary Extraction of Delta-Lognormal Parameters: Performance Comparison.
Int. J. Pattern Recognit. Artif. Intell., 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

An Evolutionary Approach for Dynamic Configuration of Multi-expert Classification Systems.
Proceedings of the IEEE International Conference on Evolutionary Computation, 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
On the role of population size and niche radius in fitness sharing.
IEEE Trans. Evol. Comput., 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

2003
Exploiting Reliability for Dynamic Selection of Classifiers by Means of Genetic Algorithms.
Proceedings of the 7th International Conference on Document Analysis and Recognition (ICDAR 2003), 2003

2002
Character preclassification based on genetic programming.
Pattern Recognit. Lett., 2002

Learning handwriting by evolution: a conceptual framework for performance evaluation and tuning.
Pattern Recognit., 2002

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

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

An Adaptive Weighted Majority Vote Rule for Combining Multiple Classifiers.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

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

2001
Grouping Character Shapes by Means of Genetic Programming.
Proceedings of the Visual Form 2001, 4th International Workshop on Visual Form, 2001

An Investigation on MPEG Audio Segmentation by Evolutionary Algorithms.
Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001

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

A New Evolutionary Learning Model for Handwritten Character Prototyping.
Proceedings of the 1oth International Conference on Image Analysis and Processing (ICIAP 1999), 1999

Handwritten Numeral Recognition by means of Evolutionary Algorithms.
Proceedings of the Fifth International Conference on Document Analysis and Recognition, 1999

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

Modeling the trade-off between completeness and consistency in genetic-based handwritten character prototyping.
Proceedings of the Document Recognition and Retrieval VI, 1999

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


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