I. De Falco

The Effects of Physical Exercise on Cognition: How Heart Rate Variability Can Predict Cognitive Performances

S. Stranges, G. De Pietro, G. Sannino, 2020, Frontiers in Human Neuroscience.

A Two-Step Approach for Classification in Alzheimer’s Disease

G. Pietro, I. D. Falco, G. De Pietro, 2022, Sensors.

A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction

Antonio Della Cioppa, I. D. Falco, E. Tarantino, 2023, Sensors.

Classification of Covid-19 chest X-ray images by means of an interpretable evolutionary rule-based approach

G. De Pietro, G. Sannino, I. De Falco, 2022, Neural Computing and Applications.

Parallel tabu search versus parallel evolution strategies

R. Vaccaro, I. De Falco, R. Del Balio, 1994, Proceedings of the First International Conference on Massively Parallel Computing Systems (MPCS) The Challenges of General-Purpose and Special-Purpose Computing.

Testing parallel evolution strategies on the quadratic assignment problem

E. Tarantino, I. de Falco, R. del Balio, 1993, Proceedings of IEEE Systems Man and Cybernetics Conference - SMC.

The effectiveness of co-mutation in evolutionary algorithms: the /spl Mscr//sub ijn/ operator

E. Tarantino, I. De Falco, A. lazzetta, 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

An effective parallel heuristic algorithm for the mapping problem

I. De Falco, E. Tarantino, D. Del Balio, 1994, Proceedings of ANZIIS '94 - Australian New Zealnd Intelligent Information Systems Conference.

An evolutionary-fuzzy approach for building a DSS for classification in medical problems

Massimo Esposito, Giuseppe De Pietro, Ivanoe De Falco, 2010, 2010 6th International Conference on Advanced Information Management and Service (IMS).

Evaluation of artificial intelligence techniques for the classification of different activities of daily living and falls

Giovanna Sannino, Giuseppe De Pietro, Ivanoe De Falco, 2019, Neural Computing and Applications.

Can Different Impacts of Covid-19 on Different Countries Be Explained? a Preliminary Machine Learning Experiment

E. Tarantino, U. Scafuri, I. De Falco, 2022, Computational Intelligence for COVID-19 and Future Pandemics.

A Continuous Noninvasive Arterial Pressure (CNAP) Approach for Health 4.0 Systems

Giuseppe De Pietro, Giovanna Sannino, Ivanoe De Falco, 2019, IEEE Transactions on Industrial Informatics.

Differential evolution to estimate the parameters of a SEIAR model with dynamic social distancing

E. Tarantino, U. Scafuri, I. De Falco, 2021, Data Science for COVID-19.

Voice signals database of ALS patients with different dysarthria severity and healthy controls

R. Dubbioso, G. De Pietro, Laura Verde, 2024, Scientific data.