Antonio Della Cioppa

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 39

Top Topics

Cooperative Coevolution

Registration Of Range Images

Differential Evolution

Top Venues

EvoApplications

Publications

Antonio Della Cioppa, Angelo Marcelli, Antonio Iannaccone
Introducing the RSNA-VR and the RSNA-DE Algorithms for Diagnosing Alzheimer's Disease. CEC (2024)
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)
Leonardo Lucio Custode, Ivanoe De Falco, Antonio Della Cioppa, Giovanni Iacca, Umberto Scafuri
NEvoFed: A Decentralized Approach to Federated NeuroEvolution of Heterogeneous Neural Networks. GECCO (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)
Giuseppe De Gregorio, Antonio Della Cioppa, Angelo Marcelli
Negative Selection Algorithm for Alzheimer's Diagnosis: Design and Performance Evaluation. EvoApplications (2022)
Antonio Parziale, Antonio Della Cioppa, Angelo Marcelli
Mimicking the immune system to diagnose Parkinson's disease from handwriting. ICPR (2022)
Antonio Parziale, Antonio Della Cioppa, Angelo Marcelli
Investigating One-Class Classifiers to Diagnose Alzheimer's Disease from Handwriting. ICIAP (1) (2022)
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)
Antonio Parziale, Rosa Senatore, Antonio Della Cioppa, Angelo Marcelli
Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues. Artif. Intell. Medicine 111 (2021)
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)
F. Cavaliere, Antonio Della Cioppa, Angelo Marcelli, Antonio Parziale, Rosa Senatore
Parkinson's Disease Diagnosis: Towards Grammar-based Explainable Artificial Intelligence. ISCC (2020)
Ivan Colucci, Giuseppe Pellegrino, Antonio Della Cioppa, Angelo Marcelli
Learning to walk - reward relevance within an enhanced neuroevolution approach. GECCO Companion (2020)
Enrico Ferrentino, Antonio Della Cioppa, Angelo Marcelli, Pasquale Chiacchio
An Evolutionary Approach to Time-Optimal Control of Robotic Manipulators. J. Intell. Robotic Syst. 99 (2) (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)
Leonardo Lucio Custode, Ciro Lucio Tecce, Illya Bakurov, Mauro Castelli, Antonio Della Cioppa, Leonardo Vanneschi
A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks. EvoApplications (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)
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)
Antonio Parziale, Antonio Della Cioppa, Rosa Senatore, Angelo Marcelli
A Decision Tree for Automatic Diagnosis of Parkinson's Disease from Offline Drawing Samples: Experiments and Findings. ICIAP (1) (2019)
Rosa Senatore, Antonio Della Cioppa, Angelo Marcelli
Automatic Diagnosis of Parkinson Disease through Handwriting Analysis: A Cartesian Genetic Programming Approach. CBMS (2019)
Ivanoe De Falco, Antonio Della Cioppa, Giuseppe A. Trunfio
Investigating surrogate-assisted cooperative coevolution for large-Scale global optimization. Inf. Sci. 482 (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)
Rosa Senatore, Antonio Della Cioppa, Angelo Marcelli
Automatic Diagnosis of Neurodegenerative Diseases: An Evolutionary Approach for Facing the Interpretability Problem. Inf. 10 (1) (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, 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, Antonio Della Cioppa, Giuseppe A. Trunfio
Large scale optimization of computationally expensive functions: an approach based on parallel cooperative coevolution and fitness metamodeling. 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, Antonio Della Cioppa, Umberto Scafuri, Ernesto Tarantino
Exploiting diversity in an asynchronous migration model for distributed differential evolution. GECCO (Companion) (2017)
Ivanoe De Falco, Antonio Della Cioppa, Umberto Scafuri, Ernesto Tarantino
Fast Range Image Registration by an Asynchronous Adaptive Distributed Differential Evolution. SITIS (2016)
Nicola Femia, Mario Migliaro, Antonio Della Cioppa
A genetic programming approach to modeling power losses of Insulate Gate Bipolar Transistors. CEC (2016)
Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, Antonio Della Cioppa
An asynchronous adaptive multi-population model for distributed differential evolution. CEC (2016)
Kateryna Stoyka, Giulia Di Capua, Antonio Della Cioppa, Nicola Femia, Giovanni Spagnuolo
Identification of ferrite core inductors parameters by evolutionary algorithms. INDIN (2015)
Pietro Luigi Carotenuto, Antonio Della Cioppa, Angelo Marcelli, Giovanni Spagnuolo
An evolutionary approach to the dynamical reconfiguration of photovoltaic fields. Neurocomputing 170 (2015)
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)
Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli
Evolutionary approaches for pooling classifier ensembles: Performance evaluation. SoCPaR (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)
Antonio Della Cioppa, Angelo Marcelli, Prisco Napoli
Speciation in evolutionary algorithms: adaptive species discovery. GECCO (2011)
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)
Antonio Della Cioppa, Claudio De Stefano, Angelo Marcelli
Where Are the Niches? Dynamic Fitness Sharing. IEEE Trans. Evol. Comput. 11 (4) (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)
Moussa Djioua, Réjean Plamondon, Antonio Della Cioppa, Angelo Marcelli
Deterministic and Evolutionary Extraction of Delta-Lognormal Parameters: Performance Comparison. Int. J. Pattern Recognit. Artif. Intell. 21 (1) (2007)
Ivanoe De Falco, Antonio Della Cioppa, Umberto Scafuri, Ernesto Tarantino
A Multiobjective Evolutionary Approach for Multisite Mapping on Grids. PPAM (2007)
Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli
An Evolutionary Approach for Dynamic Configuration of Multi-expert Classification Systems. IEEE Congress on Evolutionary Computation (2006)
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)
Antonio Della Cioppa, Claudio De Stefano, Angelo Marcelli
On the role of population size and niche radius in fitness sharing. IEEE Trans. Evol. Comput. 8 (6) (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)
Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli
Exploiting Reliability for Dynamic Selection of Classifiers by Means of Genetic Algorithms. ICDAR (2003)
Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli
Character preclassification based on genetic programming. Pattern Recognit. Lett. 23 (12) (2002)
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)
Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli
An Adaptive Weighted Majority Vote Rule for Combining Multiple Classifiers. ICPR (2) (2002)
Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli
Learning handwriting by evolution: a conceptual framework for performance evaluation and tuning. Pattern Recognit. 35 (5) (2002)
Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli
An Investigation on MPEG Audio Segmentation by Evolutionary Algorithms. ICDAR (2001)
Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli, F. Matarazzo
Grouping Character Shapes by Means of Genetic Programming. IWVF (2001)
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)
Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli
Modeling the trade-off between completeness and consistency in genetic-based handwritten character prototyping. Document Recognition and Retrieval (1999)
Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli
Handwritten Numeral Recognition by means of Evolutionary Algorithms. ICDAR (1999)
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)
Luigi P. Cordella, Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli
A New Evolutionary Learning Model for Handwritten Character Prototyping. ICIAP (1999)
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)