Ernesto Tarantino

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 38

Top Topics

Extremal Optimization

Genetic Programming

Top Venues

EvoApplications

Appl. Soft Comput.

GECCO (Companion)

Publications

Ivanoe De Falco, Antonio Della Cioppa, Tomas Koutny, Umberto Scafuri, Ernesto Tarantino
Model-Free-Communication Federated Learning: Framework and application to Precision Medicine. Biomed. Signal Process. Control. 87 (Part B) (2024)
Ivanoe De Falco, Antonio Della Cioppa, Tomas Koutny, Martin Ubl, Michal Krcma, Umberto Scafuri, Ernesto Tarantino
A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction. Sensors 23 (6) (2023)
Antonio Della Cioppa, Ivan De Falco, Tomas Koutny, Umberto Scafuri, Martin Ubl, Ernesto Tarantino
Reducing high-risk glucose forecasting errors by evolving interpretable models for Type 1 diabetes. Appl. Soft Comput. 134 (2023)
Ivanoe De Falco, Antonio Della Cioppa, Tomas Koutny, Umberto Scafuri, Ernesto Tarantino, Martin Ubl
An Evolution-based Machine Learning Approach for Inducing Glucose Prediction Models. ISCC (2022)
Martin Ubl, Tomas Koutny, Antonio Della Cioppa, Ivanoe De Falco, Ernesto Tarantino, Umberto Scafuri
Distributed Assessment of Virtual Insulin-Pump Settings Using SmartCGMS and DMMS.R for Diabetes Treatment. Sensors 22 (23) (2022)
Ivanoe De Falco, Antonio Della Cioppa, Tomas Koutny, Umberto Scafuri, Ernesto Tarantino, Martin Ubl
Grammatical Evolution-Based Approach for Extracting Interpretable Glucose-Dynamics Models. ISCC (2021)
Ivanoe De Falco, Antonio Della Cioppa, Angelo Marcelli, Umberto Scafuri, Luca Stellaccio, Ernesto Tarantino
Prediction of personalized blood glucose levels in type 1 diabetic patients using a neuroevolution approach. GECCO Companion (2021)
Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek Tudruj
Dynamic Load Balancing Based on Multi-Objective Extremal optimization. ISPDC (2020)
Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek Tudruj
Exploiting multi-objective parallel extremal optimization features in dynamic load balancing. GECCO Companion (2020)
Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, Antonio Della Cioppa, Tomas Koutny, Michal Krcma
A Grammatical Evolution Approach for Estimating Blood Glucose Levels. GLOBECOM (Workshops) (2020)
Ivan De Falco, Antonio Della Cioppa, Umberto Scafuri, Ernesto Tarantino
Coronavirus Covid-19 spreading in Italy: optimizing an epidemiological model with dynamic social distancing through Differential Evolution. CoRR (2020)
A. Casella, Ivanoe De Falco, Antonio Della Cioppa, Umberto Scafuri, Ernesto Tarantino
Exploiting multi-core and GPU hardware to speed up the registration of range images by means of Differential Evolution. J. Parallel Distributed Comput. 133 (2019)
Ernesto Tarantino, Ivanoe De Falco, Umberto Scafuri
A mobile personalized tourist guide and its user evaluation. J. Inf. Technol. Tour. 21 (3) (2019)
Ivanoe De Falco, Giuseppe De Pietro, Antonio Della Cioppa, Giovanna Sannino, Umberto Scafuri, Ernesto Tarantino
Evolution-based configuration optimization of a Deep Neural Network for the classification of Obstructive Sleep Apnea episodes. Future Gener. Comput. Syst. 98 (2019)
Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek Tudruj
Distributed Processor Load Balancing Based on Multi-objective Extremal Optimization. IDCS (2019)
Ivanoe De Falco, Antonio Della Cioppa, A. Giugliano, Angelo Marcelli, Tomas Koutny, Michal Krcma, Umberto Scafuri, Ernesto Tarantino
A genetic programming-based regression for extrapolating a blood glucose-dynamics model from interstitial glucose measurements and their first derivatives. Appl. Soft Comput. 77 (2019)
Tomas Koutny, Antonio Della Cioppa, Ivanoe De Falco, Ernesto Tarantino, Umberto Scafuri, Michal Krcma
De-randomized Meta-Differential Evolution for Calculating and Predicting Glucose Levels. CBMS (2019)
Tomas Koutny, Martin Ubl, Ivan De Falco, Ernesto Tarantino, Umberto Scafuri, Antonio Della Cioppa, Michal Krcma
Comparing the PaGMO Framework to a De-randomized Meta-Differential Evolution on Calculation and Prediction of Glucose Levels. ISCC (2019)
Ivanoe De Falco, Antonio Della Cioppa, Tomas Koutny, Michal Krcma, Umberto Scafuri, Ernesto Tarantino
An Evolutionary Approach for Estimating the Blood Glucose by Exploiting Interstitial Glucose Measurements. HEALTHINF (2018)
Ivanoe De Falco, Antonio Della Cioppa, Tomas Koutny, Michal Krcma, Umberto Scafuri, Ernesto Tarantino
Genetic Programming-based induction of a glucose-dynamics model for telemedicine. J. Netw. Comput. Appl. 119 (2018)
Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek Tudruj
Effective processor load balancing using multi-objective parallel extremal optimization. GECCO (Companion) (2018)
Ivanoe De Falco, Giuseppe De Pietro, Antonio Della Cioppa, Giovanna Sannino, Umberto Scafuri, Ernesto Tarantino
Preliminary Steps towards Efficient Classification in Large Medical Datasets: Structure Optimization for Deep Learning Networks through Parallelized Differential Evolution. HEALTHINF (2018)
Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, Antonio Della Cioppa, A. Giugliano, Tomas Koutny, Michal Krcma
An evolutionary methodology for estimating blood glucose levels from interstitial glucose measurements and their derivatives. ISCC (2018)
Ivanoe De Falco, Giuseppe De Pietro, Giovanna Sannino, Umberto Scafuri, Ernesto Tarantino, Antonio Della Cioppa, Giuseppe A. Trunfio
Deep Neural Network Hyper-Parameter Setting for Classification of Obstructive Sleep Apnea Episodes. ISCC (2018)
Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek Tudruj
Multi-objective parallel extremal optimization in processor load balancing for distributed programs. GECCO (Companion) (2017)
Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, Antonio Della Cioppa
Accurate estimate of Blood Glucose through Interstitial Glucose by Genetic Programming. ISCC (2017)
Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek Tudruj
Multi-Objective Extremal Optimization in Processor Load Balancing for Distributed Programs. PPAM (2) (2017)
Ivanoe De Falco, Antonio Della Cioppa, Umberto Scafuri, Ernesto Tarantino
Exploiting diversity in an asynchronous migration model for distributed differential evolution. GECCO (Companion) (2017)
Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino
A Differential Evolution approach for classification of Multiple Sclerosis lesions. ISCC (2016)
Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek Tudruj
Parallel extremal optimization in processor load balancing for distributed applications. Appl. Soft Comput. 46 (2016)
Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino
Optimizing Personalized Touristic Itineraries by a Multiobjective Evolutionary Algorithm. Int. J. Inf. Technol. Decis. Mak. 15 (6) (2016)
Ivanoe De Falco, Antonio Della Cioppa, Umberto Scafuri, Ernesto Tarantino
Fast Range Image Registration by an Asynchronous Adaptive Distributed Differential Evolution. SITIS (2016)
Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, Antonio Della Cioppa
An asynchronous adaptive multi-population model for distributed differential evolution. CEC (2016)
Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino
A Multiobjective Evolutionary Algorithm for Personalized Tours in Street Networks. EvoApplications (2015)
Eryk Laskowski, Marek Tudruj, Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, Richard Olejnik
Parallel Extremal Optimization with Guided Search and Crossover Applied to Load Balancing. PPAM (1) (2015)
Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek Tudruj
Parallel Extremal Optimization with Guided State Changes Applied to Load Balancing. EvoApplications (2015)
Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek Tudruj
Extremal Optimization applied to load balancing in execution of distributed programs. Appl. Soft Comput. 30 (2015)
Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino
Mapping of time-consuming multitask applications on a cloud system by multiobjective Differential Evolution. Parallel Comput. 48 (2015)
Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino
Two new fast heuristics for mapping parallel applications on cloud computing. Future Gener. Comput. Syst. 37 (2014)
Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek Tudruj
Improving Extremal Optimization in Load Balancing by Local Search. EvoApplications (2014)
Ivan De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino
An adaptive invasion-based model for distributed Differential Evolution. Inf. Sci. 278 (2014)
Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino
Impact of the Topology on the Performance of Distributed Differential Evolution. EvoApplications (2014)
Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino
Using an adaptive invasion-based model for fast range image registration. GECCO (2014)
Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek Tudruj
Extremal Optimization with Guided State Changes in Load Balancing of Distributed Programs. PDP (2014)
Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek Tudruj
Load Balancing in Distributed Applications Based on Extremal Optimization. EvoApplications (2013)
Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino
Adding Chaos to Differential Evolution for Range Image Registration. EvoApplications (2013)
Ivan De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino
Biological invasion-inspired migration in distributed evolutionary algorithms. Inf. Sci. 207 (2012)
Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino
A Model Based on Biological Invasions for Island Evolutionary Algorithms. Artificial Evolution (2011)
Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino
A distributed evolutionary approach for multisite mapping on grids. Concurr. Comput. Pract. Exp. 23 (10) (2011)
Eryk Laskowski, Marek Tudruj, Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, Richard Olejnik
Extremal Optimization Applied to Task Scheduling of Distributed Java Programs. EvoApplications (2) (2011)
Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino
An adaptive multisite mapping for computationally intensive grid applications. Future Gener. Comput. Syst. 26 (6) (2010)
Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek Tudruj
Extremal Optimization Approach Applied to Initial Mapping of Distributed Java Programs. Euro-Par (1) (2010)
Eryk Laskowski, Marek Tudruj, Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, Richard Olejnik
Distributed Java Programs Initial Mapping Based on Extremal Optimization. PARA (1) (2010)
Ivanoe De Falco, Antonio Della Cioppa, Umberto Scafuri, Ernesto Tarantino
A Distributed Bio-Inspired Method for Multisite Grid Mapping. Appl. Comput. Intell. Soft Comput. 2010 (2010)
Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino
Extremal Optimization as a Viable Means for Mapping in Grids. EvoWorkshops (2009)
Ivanoe De Falco, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino, Antonio Della Cioppa
An innovative perspective on mapping in grids. BADS@ICAC (2009)
Ivan De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino
Extremal Optimization Dynamics in Neutral Landscapes: The Royal Road Case. Artificial Evolution (2009)
Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino
Automatic Recognition of Hand Gestures with Differential Evolution. EvoWorkshops (2008)
Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Ernesto Tarantino
Differential Evolution as a viable tool for satellite image registration. Appl. Soft Comput. 8 (4) (2008)
Ivanoe De Falco, Antonio Della Cioppa, Francesco Donnarumma, Domenico Maisto, Roberto Prevete, Ernesto Tarantino
CTRNN Parameter Learning using Differential Evolution. ECAI (2008)
Ivanoe De Falco, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino, Antonio Della Cioppa
Distributed Differential Evolution for the Registration of Remotely Sensed Images. PDP (2007)
Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino
Parsimony Doesn't Mean Simplicity: Genetic Programming for Inductive Inference on Noisy Data. EuroGP (2007)
Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, Antonio Della Cioppa
A Distributed Differential Evolution Approach for Mapping in a Grid Environment. PDP (2007)
Ivanoe De Falco, Antonio Della Cioppa, Ernesto Tarantino
Facing classification problems with Particle Swarm Optimization. Appl. Soft Comput. 7 (3) (2007)
Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino
Satellite Image Registration by Distributed Differential Evolution. EvoWorkshops (2007)
Ivanoe De Falco, Antonio Della Cioppa, Umberto Scafuri, Ernesto Tarantino
Multiobjective Differential Evolution for Mapping in a Grid Environment. HPCC (2007)
Ivanoe De Falco, Antonio Della Cioppa, Umberto Scafuri, Ernesto Tarantino
A Multiobjective Evolutionary Approach for Multisite Mapping on Grids. PPAM (2007)
Ivanoe De Falco, Antonio Della Cioppa, Ernesto Tarantino
Automatic Classification of Handsegmented Image Parts with Differential Evolution. EvoWorkshops (2006)
Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Ernesto Tarantino
A Genetic Programming Approach to Solomonoff's Probabilistic Induction. EuroGP (2006)
Ivan De Falco, Ernesto Tarantino, Antonio Della Cioppa, Alessandro Passaro
Inductive inference of chaotic series by Genetic Programming: a Solomonoff-based approach. SAC (2005)
Ivan De Falco, Antonio Della Cioppa, Alessandro Passaro, Ernesto Tarantino
Genetic Programming for Inductive Inference of Chaotic Series. WILF (2005)
Ivan De Falco, Ernesto Tarantino, Antonio Della Cioppa, Francesco Gagliardi
A new variable-length genome genetic algorithm for data clustering in semeiotics. SAC (2005)
Ivan De Falco, Antonio Della Cioppa, Ernesto Tarantino
Evaluation of Particle Swarm Optimization Effectiveness in Classification. WILF (2005)
Ivan De Falco, Ernesto Tarantino, Antonio Della Cioppa, Francesco Gagliardi
A novel grammar-based genetic programming approach to clustering. SAC (2005)
Ivan De Falco, Antonio Della Cioppa, Aniello Iazzetta, Ernesto Tarantino
An evolutionary approach for automatically extracting intelligible classification rules. Knowl. Inf. Syst. 7 (2) (2005)
Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, Francesco Fontanella
An Innovative Approach to Genetic Programming - based Clustering. WSC (2004)
Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, Francesco Gagliardi
A Genetic Algorithm with Self-sizing Genomes for Data Clustering in Dermatological Semeiotics. WSC (2004)
Ivan De Falco, Antonio Della Cioppa, Ernesto Tarantino
Mutation-based genetic algorithm: performance evaluation. Appl. Soft Comput. 1 (4) (2002)
Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa
Unsupervised spectral pattern recognition for multispectral images by means of a genetic programming approach. IEEE Congress on Evolutionary Computation (2002)
Ivan De Falco, Antonio Della Cioppa, Ernesto Tarantino
Discovering interesting classification rules with genetic programming. Appl. Soft Comput. 1 (4) (2002)
Ivan De Falco, Aniello Iazzetta, Ernesto Tarantino, Antonio Della Cioppa, Giuseppe Trautteur
A Kolmogorov Complexity-based Genetic Programming Tool for String Compression. GECCO (2000)
Ivanoe De Falco, Aniello Iazzetta, Ernesto Tarantino, Antonio Della Cioppa
An evolutionary system for automatic explicit rule extraction. CEC (2000)
Ivan De Falco, Aniello Iazzetta, Ernesto Tarantino, Antonio Della Cioppa, A. Iacuelli
Towards a Simulation of Natural Mutation. GECCO (1999)
Ivan De Falco, Antonio Della Cioppa, Aniello Iazzetta, Ernesto Tarantino
A new mutation operator for evolutionary airfoil design. Soft Comput. 3 (1) (1999)
Alfredo Petrosino, Ernesto Tarantino
Parallel Image Understanding Algorithms on MIMD Multicomputers. Computing 60 (2) (1998)
Ivan De Falco, Aniello Iazzetta, P. Natale, Ernesto Tarantino
Evolutionary Neural Networks for Nonlinear Dynamics Modeling. PPSN (1998)
Ivan De Falco, Renato Del Balio, Ernesto Tarantino
An Analysis of Parallel Heuristics for Task Allocation in Multicomputers. Computing 59 (3) (1997)
Ivan De Falco, M. Conte, Antonio Della Cioppa, Ernesto Tarantino, Giuseppe Trautteur
Genetic Programming Estimates of Kolmogorov Complexity. ICGA (1997)
Ivan De Falco, Renato Del Balio, Antonio Della Cioppa, Ernesto Tarantino
Breeder Genetic Algorithms for Airfoil Design Optimisation. International Conference on Evolutionary Computation (1996)
Ivan De Falco, Antonio Della Cioppa, Renato Del Balio, Ernesto Tarantino
Investigating a Parallel Breeder Genetic Algorithm on the Inverse Aerodynamic Design. PPSN (1996)
Ivanoe De Falco, Renato Del Balio, Ernesto Tarantino
Comparing Parallel Tabu Search and Parallel Genetic Algorithms on the Task Allocation Problem. ICANNGA (1995)
Ivan De Falco, Renato Del Balio, Ernesto Tarantino
Solving the Mapping Problem by Parallel Tabu Search. Applied Informatics (1994)
Ivan De Falco, Renato Del Balio, Ernesto Tarantino, Roberto Vaccaro
Improving Search by Incorporating Evolution Principles in Parallel Tabu Search. International Conference on Evolutionary Computation (1994)
Ivan De Falco, Renato Del Balio, Ernesto Tarantino, Roberto Vaccaro
Simulation of Genetic Algorithms on MIMD Multicomputers. Parallel Process. Lett. 2 (1992)