Ivanoe De Falco

发表

A Differential Evolution approach for classification of Multiple Sclerosis lesions

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2016, 2016 IEEE Symposium on Computers and Communication (ISCC).

An evolutionary methodology for estimating blood glucose levels from interstitial glucose measurements and their derivatives

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2018, 2018 IEEE Symposium on Computers and Communications (ISCC).

A mobile personalized tourist guide and its user evaluation

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2019, J. Inf. Technol. Tour..

Discovering interesting classification rules with genetic programming

Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, 2002, Appl. Soft Comput..

An adaptive invasion-based model for distributed Differential Evolution

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2014, Inf. Sci..

Detecting Obstructive Sleep Apnea events in a real-time mobile monitoring system through automatically extracted sets of rules

Giuseppe De Pietro, Ivanoe De Falco, Giovanna Sannino, 2013, 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013).

Detection of falling events through windowing and automatic extraction of sets of rules: Preliminary results

Giuseppe De Pietro, Ivanoe De Falco, Giovanna Sannino, 2017, 2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC).

Investigating a Parallel Breeder Genetic Algorithm on the Inverse Aerodynamic Design

Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, 1996, PPSN.

Mutation-based genetic algorithm: performance evaluation

Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, 2002, Appl. Soft Comput..

Emerging Networked Computer Applications for Telemedicine

Pedro Brandão, Antonio Celesti, Antoine B. Bagula, 2019, J. Netw. Comput. Appl..

An evolutionary-fuzzy DSS for assessing health status in multiple sclerosis disease

Giuseppe De Pietro, Massimo Esposito, Ivanoe De Falco, 2011, Int. J. Medical Informatics.

Extremal Optimization with Guided State Changes in Load Balancing of Distributed Programs

Marek Tudruj, Ivanoe De Falco, Umberto Scafuri, 2014, 2014 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing.

An Evolutionary Approach to Digitalized Hand Signs Recognition

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2009 .

Impact of the Topology on the Performance of Distributed Differential Evolution

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2014, EvoApplications.

Improving Extremal Optimization in Load Balancing by Local Search

Marek Tudruj, Ivanoe De Falco, Umberto Scafuri, 2014, EvoApplications.

Automatic extraction of effective rule sets for Obstructive Sleep Apnea detection for a real-time mobile monitoring system

Giuseppe De Pietro, Ivanoe De Falco, Giovanna Sannino, 2013, 2013 IEEE 14th International Conference on Information Reuse & Integration (IRI).

Proceedings of the 12th European Conference on Genetic Programming

Leonardo Vanneschi, Marc Ebner, Alberto Moraglio, 2006 .

Facing classification problems with Particle Swarm Optimization

Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, 2007, Appl. Soft Comput..

Distributed Java Programs Initial Mapping Based on Extremal Optimization

Marek Tudruj, Ivanoe De Falco, Umberto Scafuri, 2010, PARA.

Genetic Programming Estimates of Kolmogorov Complexity

Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, 1997, ICGA.

A Kolmogorov Complexity-based Genetic Programming Tool for String Compression

Ivanoe De Falco, Ernesto Tarantino, Aniello Iazzetta, 2000, GECCO.

An Automatic Rules Extraction Approach to Support OSA Events Detection in an mHealth System

Giuseppe De Pietro, Ivanoe De Falco, Giovanna Sannino, 2014, IEEE Journal of Biomedical and Health Informatics.

Mapping of time-consuming multitask applications on a cloud system by multiobjective Differential Evolution

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2015, Parallel Comput..

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

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2018, J. Netw. Comput. Appl..

Satellite Image Registration by Distributed Differential Evolution

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2007, EvoWorkshops.

Distributed Processor Load Balancing Based on Multi-objective Extremal Optimization

Marek Tudruj, Ivanoe De Falco, Umberto Scafuri, 2019, IDCS.

Extremal Optimization Approach Applied to Initial Mapping of Distributed Java Programs

Marek Tudruj, Ivanoe De Falco, Umberto Scafuri, 2010, Euro-Par.

A Genetic Algorithm with Self-sizing Genomes for Data Clustering in Dermatological Semeiotics

Francesco Gagliardi, Ivanoe De Falco, Ernesto Tarantino, 2004, WSC.

About the discovery of an explicit model to monitor blood pressure in a non-invasive way

Giuseppe De Pietro, Ivanoe De Falco, Giovanna Sannino, 2015 .

Monitoring Obstructive Sleep Apnea by means of a real-time mobile system based on the automatic extraction of sets of rules through Differential Evolution

Giuseppe De Pietro, Ivanoe De Falco, Giovanna Sannino, 2014, J. Biomed. Informatics.

Genetic Programming for Inductive Inference of Chaotic Series

Alessandro Passaro, Ivanoe De Falco, Ernesto Tarantino, 2005, WILF.

A novel grammar-based genetic programming approach to clustering

Francesco Gagliardi, Ivanoe De Falco, Ernesto Tarantino, 2005, SAC '05.

A Distributed Bio-Inspired Method for Multisite Grid Mapping

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2010, Appl. Comput. Intell. Soft Comput..

Improving search by incorporating evolution principles in parallel Tabu Search

Roberto Vaccaro, Ivanoe De Falco, Ernesto Tarantino, 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

Differential Evolution for automatic rule extraction from medical databases

Ivanoe De Falco, I. D. Falco, 2013, Appl. Soft Comput..

A new mutation operator for evolutionary airfoil design

Ivanoe De Falco, Ernesto Tarantino, Aniello Iazzetta, 1999, Soft Comput..

Preliminary Steps towards Efficient Classification in Large Medical Datasets: Structure Optimization for Deep Learning Networks through Parallelized Differential Evolution

Giuseppe De Pietro, Ivanoe De Falco, Umberto Scafuri, 2018, HEALTHINF.

Parallel Extremal Optimization with Guided Search and Crossover Applied to Load Balancing

Marek Tudruj, Ivanoe De Falco, Umberto Scafuri, 2015, PPAM.

A Genetic Programming Approach to Solomonoff's Probabilistic Induction

Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, 2006, EuroGP.

Evaluation of Particle Swarm Optimization Effectiveness in Classification

Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, 2005, WILF.

Applications of Evolutionary Computation - 18th European Conference, EvoApplications

Federico Divina, Mengjie Zhang, Carlos Cotta, 2015 .

A Multiobjective Evolutionary Approach for Multisite Mapping on Grids

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2007, PPAM.

Non-Invasive Risk Stratification of Hypertension: A Systematic Comparison of Machine Learning Algorithms

Giuseppe De Pietro, Ivanoe De Falco, Giovanna Sannino, 2020, J. Sens. Actuator Networks.

A genetic programming-based regression for extrapolating a blood glucose-dynamics model from interstitial glucose measurements and their first derivatives

Angelo Marcelli, Ivanoe De Falco, Umberto Scafuri, 2019, Appl. Soft Comput..

Breeder genetic algorithms for airfoil design optimisation

Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

Parallel extremal optimization in processor load balancing for distributed applications

Marek Tudruj, Ivanoe De Falco, Umberto Scafuri, 2016, Appl. Soft Comput..

Extremal Optimization Applied to Task Scheduling of Distributed Java Programs

Marek Tudruj, Ivanoe De Falco, Umberto Scafuri, 2011, EvoApplications.

A medical diagnosis support system based on automatic knowledge extraction from databases through differential evolution

Ivanoe De Falco, 2013, Int. J. Data Min. Bioinform..

On Evaluating Blood Pressure Through Photoplethysmography

Giuseppe De Pietro, Ivanoe De Falco, Giovanna Sannino, 2015, IoT 360.

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

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2019, 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS).

An evolutionary approach for automatically extracting intelligible classification rules

Ivanoe De Falco, Ernesto Tarantino, Aniello Iazzetta, 2005, Knowledge and Information Systems.

On Finding Explicit Rules for Personalized Forecasting of Obstructive Sleep Apnea Episodes

Giuseppe De Pietro, Ivanoe De Falco, Giovanna Sannino, 2015, 2015 IEEE International Conference on Information Reuse and Integration.

Non-Invasive Estimation of Blood Pressure through Genetic Programming - Preliminary Results

Giuseppe De Pietro, Ivanoe De Falco, Giovanna Sannino, 2015, BIODEVICES.

Parallel Extremal Optimization with Guided State Changes Applied to Load Balancing

Marek Tudruj, Ivanoe De Falco, Umberto Scafuri, 2015, EvoApplications.

Extremal Optimization as a Viable Means for Mapping in Grids

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2009, EvoWorkshops.

Genetic Programming for a Wearable Approach to Estimate Blood Pressure Embedded in a Mobile-Based Health System

Giuseppe De Pietro, Ivanoe De Falco, Giovanna Sannino, 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).

A Multiobjective Evolutionary Algorithm for Personalized Tours in Street Networks

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2015, EvoApplications.

A Model Based on Biological Invasions for Island Evolutionary Algorithms

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2011, Artificial Evolution.

Two new fast heuristics for mapping parallel applications on cloud computing

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2014, Future Gener. Comput. Syst..

Extremal Optimization applied to load balancing in execution of distributed programs

Marek Tudruj, Ivanoe De Falco, Umberto Scafuri, 2015, Appl. Soft Comput..

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

Giuseppe A. Trunfio, Ivanoe De Falco, Antonio Della Cioppa, 2019, Inf. Sci..

An Evolutionary Approach for Estimating the Blood Glucose by Exploiting Interstitial Glucose Measurements

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2018, HEALTHINF.

Solving the Mapping Problem by Parallel Tabu Search

Ivanoe De Falco, Ernesto Tarantino, Renato Del Balio, 1994, Applied Informatics.

Parsimony Doesn't Mean Simplicity: Genetic Programming for Inductive Inference on Noisy Data

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2007, EuroGP.

Special issue on Bio-inspired optimization techniques for Biomedical Data Analysis: Methods and applications

Nizar Bouguila, Deepak Gupta, Victor Hugo C. de Albuquerque, 2020, Applied Soft Computing.

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

Giuseppe De Pietro, Ivanoe De Falco, Umberto Scafuri, 2019, Future Gener. Comput. Syst..

Towards a Simulation of Natural Mutation

Ivanoe De Falco, Ernesto Tarantino, Aniello Iazzetta, 1999, GECCO.

A Differential Evolution-Based System Supporting Medical Diagnosis through Automatic Knowledge Extraction from Databases

Ivanoe De Falco, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine.

A supervised approach to automatically extract a set of rules to support fall detection in an mHealth system

Giuseppe De Pietro, Ivanoe De Falco, Giovanna Sannino, 2015, Appl. Soft Comput..

Exploiting diversity in an asynchronous migration model for distributed differential evolution

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2017, GECCO.

Automatic Recognition of Hand Gestures with Differential Evolution

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2008, EvoWorkshops.

Large scale optimization of computationally expensive functions: an approach based on parallel cooperative coevolution and fitness metamodeling

Giuseppe A. Trunfio, Ivanoe De Falco, Antonio Della Cioppa, 2017, GECCO.

CTRNN Parameter Learning using Differential Evolution

Ivanoe De Falco, Ernesto Tarantino, Roberto Prevete, 2008, ECAI.

Extremal Optimization Dynamics in Neutral Landscapes: The Royal Road Case

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2009, Artificial Evolution.

Load Balancing in Distributed Applications Based on Extremal Optimization

Marek Tudruj, Ivanoe De Falco, Umberto Scafuri, 2013, EvoApplications.

A Statistical Analysis for the Evaluation of the Use of Wearable and Wireless Sensors for Fall Risk Reduction

Giuseppe De Pietro, Ivanoe De Falco, Giovanna Sannino, 2017, HEALTHINF.

A Distributed Differential Evolution Approach for Mapping in a Grid Environment

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2007, 15th EUROMICRO International Conference on Parallel, Distributed and Network-Based Processing (PDP'07).

Effective processor load balancing using multi-objective parallel extremal optimization

Marek Tudruj, Ivanoe De Falco, Umberto Scafuri, 2018, GECCO.

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

Giuseppe De Pietro, Giuseppe A. Trunfio, Ivanoe De Falco, 2018, 2018 IEEE Symposium on Computers and Communications (ISCC).

An Innovative Approach to Genetic Programming - based Clustering

Francesco Fontanella, Ivanoe De Falco, Ernesto Tarantino, 2004, WSC.

Distributed Differential Evolution for the Registration of Remotely Sensed Images

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2007, 15th EUROMICRO International Conference on Parallel, Distributed and Network-Based Processing (PDP'07).

A General-Purpose mHealth System Relying on Knowledge Acquisition through Artificial Intelligence

Giuseppe De Pietro, Ivanoe De Falco, Giovanna Sannino, 2014, ISAmI.

Optimizing Personalized Touristic Itineraries by a Multiobjective Evolutionary Algorithm

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2016, Int. J. Inf. Technol. Decis. Mak..

Multiobjective Differential Evolution for Mapping in a Grid Environment

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2007, HPCC.

Inductive inference of chaotic series by Genetic Programming: a Solomonoff-based approach

Alessandro Passaro, Ivanoe De Falco, Ernesto Tarantino, 2005, SAC '05.

Biological invasion-inspired migration in distributed evolutionary algorithms

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2012, Inf. Sci..

An asynchronous adaptive multi-population model for distributed differential evolution

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Classification of Potential Multiple Sclerosis Lesions Through Automatic Knowledge Extraction by Means of Differential Evolution

Ivanoe De Falco, 2014, EvoApplications.

Adding Chaos to Differential Evolution for Range Image Registration

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2013, EvoApplications.

Dynamic Load Balancing Based on Multi-Objective Extremal optimization

Marek Tudruj, Ivanoe De Falco, Umberto Scafuri, 2020, 2020 19th International Symposium on Parallel and Distributed Computing (ISPDC).

Multi-Objective Extremal Optimization in Processor Load Balancing for Distributed Programs

Marek Tudruj, Ivanoe De Falco, Umberto Scafuri, 2017, PPAM.

Fast Range Image Registration by an Asynchronous Adaptive Distributed Differential Evolution

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2016, 2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS).

An adaptive multisite mapping for computationally intensive grid applications

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2010, Future Gener. Comput. Syst..

Evolutionary Neural Networks for Nonlinear Dynamics Modeling

Ivanoe De Falco, Ernesto Tarantino, Aniello Iazzetta, 1998, PPSN.

Accurate estimate of Blood Glucose through Interstitial Glucose by Genetic Programming

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2017, 2017 IEEE Symposium on Computers and Communications (ISCC).

Indirect Blood Pressure Evaluation by Means of Genetic Programming

Giuseppe De Pietro, Ivanoe De Falco, Giovanna Sannino, 2015, BIOSTEC.

Multi-objective parallel extremal optimization in processor load balancing for distributed programs

Marek Tudruj, Ivanoe De Falco, Umberto Scafuri, 2017, GECCO.

A new variable---length genome genetic algorithm for data clustering in semeiotics

Francesco Gagliardi, Ivanoe De Falco, Ernesto Tarantino, 2005, SAC '05.

Differential Evolution as a viable tool for satellite image registration

Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, 2008, Appl. Soft Comput..

Multi-purpose mobile monitoring system based on automatic extraction of rule-sets

Giuseppe De Pietro, Ivanoe De Falco, Giovanna Sannino, 2014, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

Exploiting multi-objective parallel extremal optimization features in dynamic load balancing

Marek Tudruj, Ivanoe De Falco, Umberto Scafuri, 2020, GECCO Companion.

An innovative perspective on mapping in grids

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2009, BADS '09.

Automatic Extraction of an Effective Rule Set for Fall Detection for a Real-Time Mobile Monitoring System

Giuseppe De Pietro, Ivanoe De Falco, Giovanna Sannino, 2013, 2013 Sixth International Conference on Developments in eSystems Engineering.

Automatic Classification of Handsegmented Image Parts with Differential Evolution

Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, 2006, EvoWorkshops.

Towards a cyber physical system for personalised and automatic OSA treatment

Giuseppe De Pietro, Ivanoe De Falco, Giovanna Sannino, 2019, IET Cyper-Phys. Syst.: Theory & Appl..

Easy fall risk assessment by estimating the Mini-BES test score

Giuseppe De Pietro, Ivanoe De Falco, Giovanna Sannino, 2016, 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom).

Using an adaptive invasion-based model for fast range image registration

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2014, GECCO.

An analysis of parallel heuristics for task allocation in multicomputers

Ivanoe De Falco, Ernesto Tarantino, Renato Del Balio, 1997, Computing.

Artificial Intelligence for Health

Antonio Celesti, Antonino Galletta, Ivanoe De Falco, 2021, Comput..

Guest Editorial Enabling Technologies for Next Generation Telehealthcare

Antonio Celesti, Ivanoe De Falco, Leandro Pecchia, 2021, IEEE J. Biomed. Health Informatics.

Prediction of personalized blood glucose levels in type 1 diabetic patients using a neuroevolution approach

Angelo Marcelli, Ivanoe De Falco, Umberto Scafuri, 2021, GECCO Companion.

A Multiobjective Extremal Optimization Algorithm for Efficient Mapping in Grids

Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, 2009 .