Simulation of Genetic Algorithms on MIMD Multicomputers. - Ivan De Falco; Renato Del Balio; Ernesto Tarantino; Roberto Vaccaro (Parallel Process. Lett., 1992)

Solving the Mapping Problem by Parallel Tabu Search. - Ivan De Falco; Renato Del Balio; Ernesto Tarantino (Applied Informatics, 1994)

Improving Search by Incorporating Evolution Principles in Parallel Tabu Search. - Ivan De Falco; Renato Del Balio; Ernesto Tarantino; Roberto Vaccaro (International Conference on Evolutionary Computation, 1994)

Comparing Parallel Tabu Search and Parallel Genetic Algorithms on the Task Allocation Problem. - Ivanoe De Falco; Renato Del Balio; Ernesto Tarantino (ICANNGA, 1995)

Breeder Genetic Algorithms for Airfoil Design Optimisation. - Ivan De Falco; Renato Del Balio; Antonio Della Cioppa; Ernesto Tarantino (International Conference on Evolutionary Computation, 1996)

Investigating a Parallel Breeder Genetic Algorithm on the Inverse Aerodynamic Design. - Ivan De Falco; Antonio Della Cioppa; Renato Del Balio; Ernesto Tarantino (PPSN, 1996)

Genetic Programming Estimates of Kolmogorov Complexity. - Ivan De Falco; M. Conte; Antonio Della Cioppa; Ernesto Tarantino; Giuseppe Trautteur (ICGA, 1997)

An Analysis of Parallel Heuristics for Task Allocation in Multicomputers. - Ivan De Falco; Renato Del Balio; Ernesto Tarantino (Computing, 1997)

Evolutionary Neural Networks for Nonlinear Dynamics Modeling. - Ivan De Falco; Aniello Iazzetta; P. Natale; Ernesto Tarantino (PPSN, 1998)

Towards a Simulation of Natural Mutation. - Ivan De Falco; Aniello Iazzetta; Ernesto Tarantino; Antonio Della Cioppa; A. Iacuelli (GECCO, 1999)

A new mutation operator for evolutionary airfoil design. - Ivan De Falco; Antonio Della Cioppa; Aniello Iazzetta; Ernesto Tarantino (Soft Comput., 1999)

An evolutionary system for automatic explicit rule extraction. - Ivanoe De Falco; Aniello Iazzetta; Ernesto Tarantino; Antonio Della Cioppa (CEC, 2000)

A Kolmogorov Complexity-based Genetic Programming Tool for String Compression. - Ivan De Falco; Aniello Iazzetta; Ernesto Tarantino; Antonio Della Cioppa; Giuseppe Trautteur (GECCO, 2000)

Unsupervised spectral pattern recognition for multispectral images by means of a genetic programming approach. - Ivanoe De Falco; Ernesto Tarantino; Antonio Della Cioppa (IEEE Congress on Evolutionary Computation, 2002)

Discovering interesting classification rules with genetic programming. - Ivan De Falco; Antonio Della Cioppa; Ernesto Tarantino (Appl. Soft Comput., 2002)

Mutation-based genetic algorithm: performance evaluation. - Ivan De Falco; Antonio Della Cioppa; Ernesto Tarantino (Appl. Soft Comput., 2002)

An Innovative Approach to Genetic Programming - based Clustering. - Ivanoe De Falco; Ernesto Tarantino; Antonio Della Cioppa; Francesco Fontanella (WSC, 2004)

A Genetic Algorithm with Self-sizing Genomes for Data Clustering in Dermatological Semeiotics. - Ivanoe De Falco; Ernesto Tarantino; Antonio Della Cioppa; Francesco Gagliardi 001 (WSC, 2004)

A new variable-length genome genetic algorithm for data clustering in semeiotics. - Ivan De Falco; Ernesto Tarantino; Antonio Della Cioppa; Francesco Gagliardi 001 (SAC, 2005)

A novel grammar-based genetic programming approach to clustering. - Ivan De Falco; Ernesto Tarantino; Antonio Della Cioppa; Francesco Gagliardi 001 (SAC, 2005)

Inductive inference of chaotic series by Genetic Programming: a Solomonoff-based approach. - Ivan De Falco; Ernesto Tarantino; Antonio Della Cioppa; Alessandro Passaro (SAC, 2005)

Genetic Programming for Inductive Inference of Chaotic Series. - Ivan De Falco; Antonio Della Cioppa; Alessandro Passaro; Ernesto Tarantino (WILF, 2005)

Evaluation of Particle Swarm Optimization Effectiveness in Classification. - Ivan De Falco; Antonio Della Cioppa; Ernesto Tarantino (WILF, 2005)

An evolutionary approach for automatically extracting intelligible classification rules. - Ivan De Falco; Antonio Della Cioppa; Aniello Iazzetta; Ernesto Tarantino (Knowl. Inf. Syst., 2005)

A Genetic Programming Approach to Solomonoff's Probabilistic Induction. - Ivanoe De Falco; Antonio Della Cioppa; Domenico Maisto; Ernesto Tarantino (EuroGP, 2006)

Automatic Classification of Handsegmented Image Parts with Differential Evolution. - Ivanoe De Falco; Antonio Della Cioppa; Ernesto Tarantino (EvoWorkshops, 2006)

Parsimony Doesn't Mean Simplicity: Genetic Programming for Inductive Inference on Noisy Data. - Ivanoe De Falco; Antonio Della Cioppa; Domenico Maisto; Umberto Scafuri; Ernesto Tarantino (EuroGP, 2007)

Satellite Image Registration by Distributed Differential Evolution. - Ivanoe De Falco; Antonio Della Cioppa; Domenico Maisto; Umberto Scafuri; Ernesto Tarantino (EvoWorkshops, 2007)

Multiobjective Differential Evolution for Mapping in a Grid Environment. - Ivanoe De Falco; Antonio Della Cioppa; Umberto Scafuri; Ernesto Tarantino (HPCC, 2007)

Distributed Differential Evolution for the Registration of Remotely Sensed Images. - Ivanoe De Falco; Domenico Maisto; Umberto Scafuri; Ernesto Tarantino; Antonio Della Cioppa (PDP, 2007)

A Distributed Differential Evolution Approach for Mapping in a Grid Environment. - Ivanoe De Falco; Umberto Scafuri; Ernesto Tarantino; Antonio Della Cioppa (PDP, 2007)

A Multiobjective Evolutionary Approach for Multisite Mapping on Grids. - Ivanoe De Falco; Antonio Della Cioppa; Umberto Scafuri; Ernesto Tarantino (PPAM, 2007)

Facing classification problems with Particle Swarm Optimization. - Ivanoe De Falco; Antonio Della Cioppa; Ernesto Tarantino (Appl. Soft Comput., 2007)

CTRNN Parameter Learning using Differential Evolution. - Ivanoe De Falco; Antonio Della Cioppa; Francesco Donnarumma; Domenico Maisto; Roberto Prevete; Ernesto Tarantino (ECAI, 2008)

Automatic Recognition of Hand Gestures with Differential Evolution. - Ivanoe De Falco; Antonio Della Cioppa; Domenico Maisto; Umberto Scafuri; Ernesto Tarantino (EvoWorkshops, 2008)

Differential Evolution as a viable tool for satellite image registration. - Ivanoe De Falco; Antonio Della Cioppa; Domenico Maisto; Ernesto Tarantino (Appl. Soft Comput., 2008)

Extremal Optimization Dynamics in Neutral Landscapes: The Royal Road Case. - Ivan De Falco; Antonio Della Cioppa; Domenico Maisto; Umberto Scafuri; Ernesto Tarantino (Artificial Evolution, 2009)

Extremal Optimization as a Viable Means for Mapping in Grids. - Ivanoe De Falco; Antonio Della Cioppa; Domenico Maisto; Umberto Scafuri; Ernesto Tarantino (EvoWorkshops, 2009)

An innovative perspective on mapping in grids. - Ivanoe De Falco; Domenico Maisto; Umberto Scafuri; Ernesto Tarantino; Antonio Della Cioppa (BADS@ICAC, 2009)

Extremal Optimization Approach Applied to Initial Mapping of Distributed Java Programs. - Ivanoe De Falco; Eryk Laskowski; Richard Olejnik; Umberto Scafuri; Ernesto Tarantino; Marek S. Tudruj (Euro-Par (1), 2010)

Distributed Java Programs Initial Mapping Based on Extremal Optimization. - Eryk Laskowski; Marek S. Tudruj; Ivanoe De Falco; Umberto Scafuri; Ernesto Tarantino; Richard Olejnik (PARA (1), 2010)

A Distributed Bio-Inspired Method for Multisite Grid Mapping. - Ivanoe De Falco; Antonio Della Cioppa; Umberto Scafuri; Ernesto Tarantino (Appl. Comput. Intell. Soft Comput., 2010)

An adaptive multisite mapping for computationally intensive grid applications. - Ivanoe De Falco; Umberto Scafuri; Ernesto Tarantino (Future Gener. Comput. Syst., 2010)

A Model Based on Biological Invasions for Island Evolutionary Algorithms. - Ivanoe De Falco; Antonio Della Cioppa; Domenico Maisto; Umberto Scafuri; Ernesto Tarantino (Artificial Evolution, 2011)

A Differential Evolution-Based System Supporting Medical Diagnosis through Automatic Knowledge Extraction from Databases. - Ivanoe De Falco (BIBM, 2011)

Extremal Optimization Applied to Task Scheduling of Distributed Java Programs. - Eryk Laskowski; Marek S. Tudruj; Ivanoe De Falco; Umberto Scafuri; Ernesto Tarantino; Richard Olejnik (EvoApplications (2), 2011)

A distributed evolutionary approach for multisite mapping on grids. - Ivanoe De Falco; Umberto Scafuri; Ernesto Tarantino (Concurr. Comput. Pract. Exp., 2011)

An evolutionary-fuzzy DSS for assessing health status in multiple sclerosis disease. - Massimo Esposito; Ivanoe De Falco; Giuseppe De Pietro (Int. J. Medical Informatics, 2011)

Biological invasion-inspired migration in distributed evolutionary algorithms. - Ivan De Falco; Antonio Della Cioppa; Domenico Maisto; Umberto Scafuri; Ernesto Tarantino (Inf. Sci., 2012)

Automatic Extraction of an Effective Rule Set for Fall Detection for a Real-Time Mobile Monitoring System. - Giovanna Sannino; Ivanoe De Falco; Giuseppe De Pietro (DeSE, 2013)

Adding Chaos to Differential Evolution for Range Image Registration. - Ivanoe De Falco; Antonio Della Cioppa; Domenico Maisto; Umberto Scafuri; Ernesto Tarantino (EvoApplications, 2013)

Load Balancing in Distributed Applications Based on Extremal Optimization. - Ivanoe De Falco; Eryk Laskowski; Richard Olejnik; Umberto Scafuri; Ernesto Tarantino; Marek S. Tudruj (EvoApplications, 2013)

Detecting Obstructive Sleep Apnea events in a real-time mobile monitoring system through automatically extracted sets of rules. - Giovanna Sannino; Ivanoe De Falco; Giuseppe De Pietro (Healthcom, 2013)

Automatic extraction of effective rule sets for Obstructive Sleep Apnea detection for a real-time mobile monitoring system. - Giovanna Sannino; Ivanoe De Falco; Giuseppe De Pietro (IRI, 2013)

Differential Evolution for automatic rule extraction from medical databases. - Ivanoe De Falco (Appl. Soft Comput., 2013)

A medical diagnosis support system based on automatic knowledge extraction from databases through differential evolution. - Ivanoe De Falco (Int. J. Data Min. Bioinform., 2013)

Multi-purpose mobile monitoring system based on automatic extraction of rule-sets. - Giovanna Sannino; Ivanoe De Falco; Giuseppe De Pietro (BHI, 2014)

Classification of Potential Multiple Sclerosis Lesions Through Automatic Knowledge Extraction by Means of Differential Evolution. - Ivanoe De Falco (EvoApplications, 2014)

Impact of the Topology on the Performance of Distributed Differential Evolution. - Ivanoe De Falco; Antonio Della Cioppa; Domenico Maisto; Umberto Scafuri; Ernesto Tarantino (EvoApplications, 2014)

Improving Extremal Optimization in Load Balancing by Local Search. - Ivanoe De Falco; Eryk Laskowski; Richard Olejnik; Umberto Scafuri; Ernesto Tarantino; Marek S. Tudruj (EvoApplications, 2014)

Using an adaptive invasion-based model for fast range image registration. - Ivanoe De Falco; Antonio Della Cioppa; Domenico Maisto; Umberto Scafuri; Ernesto Tarantino (GECCO, 2014)

A General-Purpose mHealth System Relying on Knowledge Acquisition through Artificial Intelligence. - Giovanna Sannino; Ivanoe De Falco; Giuseppe De Pietro (ISAmI, 2014)

Extremal Optimization with Guided State Changes in Load Balancing of Distributed Programs. - Ivanoe De Falco; Eryk Laskowski; Richard Olejnik; Umberto Scafuri; Ernesto Tarantino; Marek S. Tudruj (PDP, 2014)

Two new fast heuristics for mapping parallel applications on cloud computing. - Ivanoe De Falco; Umberto Scafuri; Ernesto Tarantino (Future Gener. Comput. Syst., 2014)

An adaptive invasion-based model for distributed Differential Evolution. - Ivan De Falco; Antonio Della Cioppa; Domenico Maisto; Umberto Scafuri; Ernesto Tarantino (Inf. Sci., 2014)

Monitoring Obstructive Sleep Apnea by means of a real-time mobile system based on the automatic extraction of sets of rules through Differential Evolution. - Giovanna Sannino; Ivanoe De Falco; Giuseppe De Pietro (J. Biomed. Informatics, 2014)

An Automatic Rules Extraction Approach to Support OSA Events Detection in an mHealth System. - Giovanna Sannino; Ivanoe De Falco; Giuseppe De Pietro (IEEE J. Biomed. Health Informatics, 2014)

Non-Invasive Estimation of Blood Pressure through Genetic Programming - Preliminary Results. - Giovanna Sannino; Ivanoe De Falco; Giuseppe De Pietro (BIODEVICES, 2015)

Indirect Blood Pressure Evaluation by Means of Genetic Programming. - Giovanna Sannino; Ivanoe De Falco; Giuseppe De Pietro (BIOSTEC (Selected Papers), 2015)

Parallel Extremal Optimization with Guided State Changes Applied to Load Balancing. - Ivanoe De Falco; Eryk Laskowski; Richard Olejnik; Umberto Scafuri; Ernesto Tarantino; Marek S. Tudruj (EvoApplications, 2015)

A Multiobjective Evolutionary Algorithm for Personalized Tours in Street Networks. - Ivanoe De Falco; Umberto Scafuri; Ernesto Tarantino (EvoApplications, 2015)

Genetic Programming for a Wearable Approach to Estimate Blood Pressure Embedded in a Mobile-Based Health System. - Giovanna Sannino; Ivanoe De Falco; Giuseppe De Pietro (ICTAI, 2015)

On Evaluating Blood Pressure Through Photoplethysmography. - Giovanna Sannino; Ivanoe De Falco; Giuseppe De Pietro (IoT 360 (1), 2015)

On Finding Explicit Rules for Personalized Forecasting of Obstructive Sleep Apnea Episodes. - Ivanoe De Falco; Giuseppe De Pietro; Giovanna Sannino (IRI, 2015)

Parallel Extremal Optimization with Guided Search and Crossover Applied to Load Balancing. - Eryk Laskowski; Marek S. Tudruj; Ivanoe De Falco; Umberto Scafuri; Ernesto Tarantino; Richard Olejnik (PPAM (1), 2015)

Extremal Optimization applied to load balancing in execution of distributed programs. - Ivanoe De Falco; Eryk Laskowski; Richard Olejnik; Umberto Scafuri; Ernesto Tarantino; Marek S. Tudruj (Appl. Soft Comput., 2015)

A supervised approach to automatically extract a set of rules to support fall detection in an mHealth system. - Giovanna Sannino; Ivanoe De Falco; Giuseppe De Pietro (Appl. Soft Comput., 2015)

Mapping of time-consuming multitask applications on a cloud system by multiobjective Differential Evolution. - Ivanoe De Falco; Umberto Scafuri; Ernesto Tarantino (Parallel Comput., 2015)

An asynchronous adaptive multi-population model for distributed differential evolution. - Ivanoe De Falco; Umberto Scafuri; Ernesto Tarantino; Antonio Della Cioppa (CEC, 2016)

Easy fall risk assessment by estimating the Mini-BES test score. - Giovanna Sannino; Ivanoe De Falco; Giuseppe De Pietro (HealthCom, 2016)

A Differential Evolution approach for classification of Multiple Sclerosis lesions. - Ivanoe De Falco; Umberto Scafuri; Ernesto Tarantino (ISCC, 2016)

Fast Range Image Registration by an Asynchronous Adaptive Distributed Differential Evolution. - Ivanoe De Falco; Antonio Della Cioppa; Umberto Scafuri; Ernesto Tarantino (SITIS, 2016)

Parallel extremal optimization in processor load balancing for distributed applications. - Ivanoe De Falco; Eryk Laskowski; Richard Olejnik; Umberto Scafuri; Ernesto Tarantino; Marek S. Tudruj (Appl. Soft Comput., 2016)

Optimizing Personalized Touristic Itineraries by a Multiobjective Evolutionary Algorithm. - Ivanoe De Falco; Umberto Scafuri; Ernesto Tarantino (Int. J. Inf. Technol. Decis. Mak., 2016)

A Statistical Analysis for the Evaluation of the Use of Wearable and Wireless Sensors for Fall Risk Reduction. - Giovanna Sannino; Ivanoe De Falco; Giuseppe De Pietro (HEALTHINF, 2017)

Exploiting diversity in an asynchronous migration model for distributed differential evolution. - Ivanoe De Falco; Antonio Della Cioppa; Umberto Scafuri; Ernesto Tarantino (GECCO (Companion), 2017)

Large scale optimization of computationally expensive functions: an approach based on parallel cooperative coevolution and fitness metamodeling. - Ivanoe De Falco; Antonio Della Cioppa; Giuseppe A. Trunfio (GECCO (Companion), 2017)

Multi-objective parallel extremal optimization in processor load balancing for distributed programs. - Ivanoe De Falco; Eryk Laskowski; Richard Olejnik; Umberto Scafuri; Ernesto Tarantino; Marek S. Tudruj (GECCO (Companion), 2017)

Detection of falling events through windowing and automatic extraction of sets of rules: Preliminary results. - Giovanna Sannino; Ivanoe De Falco; Giuseppe De Pietro (ICNSC, 2017)

Accurate estimate of Blood Glucose through Interstitial Glucose by Genetic Programming. - Ivanoe De Falco; Umberto Scafuri; Ernesto Tarantino; Antonio Della Cioppa (ISCC, 2017)

Multi-Objective Extremal Optimization in Processor Load Balancing for Distributed Programs. - Ivanoe De Falco; Eryk Laskowski; Richard Olejnik; Umberto Scafuri; Ernesto Tarantino; Marek S. Tudruj (PPAM (2), 2017)

An Evolutionary Approach for Estimating the Blood Glucose by Exploiting Interstitial Glucose Measurements. - Ivanoe De Falco; Antonio Della Cioppa; Tomas Koutny; Michal Krcma; Umberto Scafuri; Ernesto Tarantino (HEALTHINF, 2018)

Preliminary Steps towards Efficient Classification in Large Medical Datasets: Structure Optimization for Deep Learning Networks through Parallelized Differential Evolution. - Ivanoe De Falco; Giuseppe De Pietro; Antonio Della Cioppa; Giovanna Sannino; Umberto Scafuri; Ernesto Tarantino (HEALTHINF, 2018)

Effective processor load balancing using multi-objective parallel extremal optimization. - Ivanoe De Falco; Eryk Laskowski; Richard Olejnik; Umberto Scafuri; Ernesto Tarantino; Marek S. Tudruj (GECCO (Companion), 2018)

Deep Neural Network Hyper-Parameter Setting for Classification of Obstructive Sleep Apnea Episodes. - Ivanoe De Falco; Giuseppe De Pietro; Giovanna Sannino; Umberto Scafuri; Ernesto Tarantino; Antonio Della Cioppa; Giuseppe A. Trunfio (ISCC, 2018)

An evolutionary methodology for estimating blood glucose levels from interstitial glucose measurements and their derivatives. - Ivanoe De Falco; Umberto Scafuri; Ernesto Tarantino; Antonio Della Cioppa; A. Giugliano; Tomas Koutny; Michal Krcma (ISCC, 2018)

Genetic Programming-based induction of a glucose-dynamics model for telemedicine. - Ivanoe De Falco; Antonio Della Cioppa; Tomas Koutny; Michal Krcma; Umberto Scafuri; Ernesto Tarantino (J. Netw. Comput. Appl., 2018)

De-randomized Meta-Differential Evolution for Calculating and Predicting Glucose Levels. - Tomas Koutny; Antonio Della Cioppa; Ivanoe De Falco; Ernesto Tarantino; Umberto Scafuri; Michal Krcma (CBMS, 2019)

Distributed Processor Load Balancing Based on Multi-objective Extremal Optimization. - Ivanoe De Falco; Eryk Laskowski; Richard Olejnik; Umberto Scafuri; Ernesto Tarantino; Marek S. Tudruj (IDCS, 2019)

Comparing the PaGMO Framework to a De-randomized Meta-Differential Evolution on Calculation and Prediction of Glucose Levels. - Tomas Koutny; Martin Ubl; Ivan De Falco; Ernesto Tarantino; Umberto Scafuri; Antonio Della Cioppa; Michal Krcma (ISCC, 2019)

A genetic programming-based regression for extrapolating a blood glucose-dynamics model from interstitial glucose measurements and their first derivatives. - Ivanoe De Falco; Antonio Della Cioppa; A. Giugliano; Angelo Marcelli; Tomas Koutny; Michal Krcma; Umberto Scafuri; Ernesto Tarantino (Appl. Soft Comput., 2019)

Evolution-based configuration optimization of a Deep Neural Network for the classification of Obstructive Sleep Apnea episodes. - Ivanoe De Falco; Giuseppe De Pietro; Antonio Della Cioppa; Giovanna Sannino; Umberto Scafuri; Ernesto Tarantino (Future Gener. Comput. Syst., 2019)

Towards a cyber physical system for personalised and automatic OSA treatment. - Giovanna Sannino; Ivanoe De Falco; Giuseppe De Pietro (IET Cyper-Phys. Syst.: Theory & Appl., 2019)

Investigating surrogate-assisted cooperative coevolution for large-Scale global optimization. - Ivanoe De Falco; Antonio Della Cioppa; Giuseppe A. Trunfio (Inf. Sci., 2019)

A mobile personalized tourist guide and its user evaluation. - Ernesto Tarantino; Ivanoe De Falco; Umberto Scafuri (J. Inf. Technol. Tour., 2019)

Emerging Networked Computer Applications for Telemedicine. - Antonio Celesti; Antoine B. Bagula; Ivanoe De Falco; Pedro Brandão; Giovanna Sannino (J. Netw. Comput. Appl., 2019)

Exploiting multi-core and GPU hardware to speed up the registration of range images by means of Differential Evolution. - Andrea Casella; Ivanoe De Falco; Antonio Della Cioppa; Umberto Scafuri; Ernesto Tarantino (J. Parallel Distributed Comput., 2019)

A Continuous Noninvasive Arterial Pressure (CNAP) Approach for Health 4.0 Systems. - Giovanna Sannino; Ivanoe De Falco; Giuseppe De Pietro (IEEE Trans. Ind. Informatics, 2019)

Exploiting multi-objective parallel extremal optimization features in dynamic load balancing. - Ivanoe De Falco; Eryk Laskowski; Richard Olejnik; Umberto Scafuri; Ernesto Tarantino; Marek S. Tudruj (GECCO Companion, 2020)

A Grammatical Evolution Approach for Estimating Blood Glucose Levels. - Ivanoe De Falco; Umberto Scafuri; Ernesto Tarantino; Antonio Della Cioppa; Tomas Koutny; Michal Krcma (GLOBECOM (Workshops), 2020)

Photoplethysmography and Machine Learning for the Hypertension Risk Stratification. - Giovanna Sannino; Ivanoe De Falco; Giuseppe De Pietro (GLOBECOM (Workshops), 2020)

Dynamic Load Balancing Based on Multi-Objective Extremal optimization. - Ivanoe De Falco; Eryk Laskowski; Richard Olejnik; Umberto Scafuri; Ernesto Tarantino; Marek S. Tudruj (ISPDC, 2020)

Special issue on Bio-inspired optimization techniques for Biomedical Data Analysis: Methods and applications. - Victor Hugo C. de Albuquerque; Deepak Gupta 002; Ivanoe De Falco; Giovanna Sannino; Nizar Bouguila (Appl. Soft Comput., 2020)

Coronavirus Covid-19 spreading in Italy: optimizing an epidemiological model with dynamic social distancing through Differential Evolution. - Ivan De Falco; Antonio Della Cioppa; Umberto Scafuri; Ernesto Tarantino (CoRR, 2020)

Non-Invasive Risk Stratification of Hypertension: A Systematic Comparison of Machine Learning Algorithms. - Giovanna Sannino; Ivanoe De Falco; Giuseppe De Pietro (J. Sens. Actuator Networks, 2020)

Automatic Extraction of Interpretable Knowledge to Predict the Survival of Patients with Heart Failure. - Giovanna Sannino; Giuseppe De Pietro; Ivanoe De Falco (CHASE, 2021)

Prediction of personalized blood glucose levels in type 1 diabetic patients using a neuroevolution approach. - Ivanoe De Falco; Antonio Della Cioppa; Angelo Marcelli; Umberto Scafuri; Luca Stellaccio; Ernesto Tarantino (GECCO Companion, 2021)

Grammatical Evolution-Based Approach for Extracting Interpretable Glucose-Dynamics Models. - Ivanoe De Falco; Antonio Della Cioppa; Tomas Koutny; Umberto Scafuri; Ernesto Tarantino; Martin Ubl (ISCC, 2021)

Artificial Intelligence for Health. - Antonio Celesti; Ivanoe De Falco; Antonino Galletta; Giovanna Sannino (Comput., 2021)

Guest Editorial Enabling Technologies for Next Generation Telehealthcare. - Antonio Celesti; Ivanoe De Falco; Leandro Pecchia; Giovanna Sannino (IEEE J. Biomed. Health Informatics, 2021)

An Evolution-based Machine Learning Approach for Inducing Glucose Prediction Models. - Ivanoe De Falco; Antonio Della Cioppa; Tomas Koutny; Umberto Scafuri; Ernesto Tarantino; Martin Ubl (ISCC, 2022)

A Two-Step Approach for Classification in Alzheimer's Disease. - Ivanoe De Falco; Giuseppe De Pietro; Giovanna Sannino (Sensors, 2022)

Distributed Assessment of Virtual Insulin-Pump Settings Using SmartCGMS and DMMS.R for Diabetes Treatment. - Martin Ubl; Tomas Koutny; Antonio Della Cioppa; Ivanoe De Falco; Ernesto Tarantino; Umberto Scafuri (Sensors, 2022)

A Novel Deep Learning Approach for Colon and Lung Cancer Classification Using Histopathological Images. - Naeem Ullah; Ivanoe De Falco; Giovanna Sannino (e-Science, 2023)

Reducing high-risk glucose forecasting errors by evolving interpretable models for Type 1 diabetes. - Antonio Della Cioppa; Ivan De Falco; Tomas Koutny; Umberto Scafuri; Martin Ubl; Ernesto Tarantino (Appl. Soft Comput., 2023)

A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction. - Ivanoe De Falco; Antonio Della Cioppa; Tomas Koutny; Martin Ubl; Michal Krcma; Umberto Scafuri; Ernesto Tarantino (Sensors, 2023)

Special Issue "Advances in Machine and Deep Learning in the Health Domain". - Antonio Celesti; Ivanoe De Falco; Antonino Galletta; Giovanna Sannino (Comput., 2023)

Classification of Covid-19 chest X-ray images by means of an interpretable evolutionary rule-based approach. - Ivanoe De Falco; Giuseppe De Pietro; Giovanna Sannino (Neural Comput. Appl., 2023)

Special Issue: "Intelligent Systems for Clinical Care and Remote Patient Monitoring". - Giovanna Sannino; Antonio Celesti; Ivanoe De Falco (Sensors, 2023)

NEvoFed: A Decentralized Approach to Federated NeuroEvolution of Heterogeneous Neural Networks. - Leonardo Lucio Custode; Ivanoe De Falco; Antonio Della Cioppa; Giovanni Iacca; Umberto Scafuri (GECCO, 2024)

Cross-domain Super-Resolution in Medical Imaging. - Vincenzo Bevilacqua; Antonio Di Marino; Emanuel Di Nardo; Angelo Ciaramella; Ivanoe De Falco; Giovanna Sannino (ISCC, 2024)

Bridging Clinical Gaps: Multi-Dataset Integration for Reliable Multi-Class Lung Disease Classification with DeepCRINet and Occlusion Sensitivity. - Naeem Ullah; Javed Ali Khan; Ivanoe De Falco; Giovanna Sannino (ISCC, 2024)

Precision medicine in ALS: Identification of new acoustic markers for dysarthria severity assessment. - Raffaele Dubbioso; Myriam Spisto; Laura Verde; Valentina Virginia Iuzzolino; Gianmaria Senerchia; Giuseppe De Pietro; Ivanoe De Falco; Giovanna Sannino (Biomed. Signal Process. Control., 2024)

Model-Free-Communication Federated Learning: Framework and application to Precision Medicine. - Ivanoe De Falco; Antonio Della Cioppa; Tomas Koutny; Umberto Scafuri; Ernesto Tarantino (Biomed. Signal Process. Control., 2024)

A gradient-supported analysis of Pareto front in multi-objective extremal optimization-based processor load balancing. - Ivanoe De Falco; Eryk Laskowski; Richard Olejnik; Umberto Scafuri; Ernesto Tarantino; Marek S. Tudruj (Appl. Soft Comput., 2025)

A novel explainable AI framework for medical image classification integrating statistical, visual, and rule-based methods. - Naeem Ullah; Florentina Guzmán-Aroca; Francisco Martínez-Álvarez; Ivanoe De Falco; Giovanna Sannino (Medical Image Anal., 2025)

Explainable Artificial Intelligence: Importance, Use Domains, Stages, Output Shapes, and Challenges. - Naeem Ullah; Javed Ali Khan; Ivanoe De Falco; Giovanna Sannino (ACM Comput. Surv., 2025)

Ante-Hoc Methods for Interpretable Deep Models: A Survey. - Antonio Di Marino; Vincenzo Bevilacqua; Angelo Ciaramella; Ivanoe De Falco; Giovanna Sannino (ACM Comput. Surv., 2025)