| GGA: A modified genetic algorithm with gradient-based local search for solving constrained optimization problems G D’Angelo, F Palmieri Information Sciences 547, 136-162, 2021 | 127 | 2021 |
| Network traffic classification using deep convolutional recurrent autoencoder neural networks for spatial–temporal features extraction G D’Angelo, F Palmieri Journal of Network and Computer Applications 173, 102890, 2021 | 121 | 2021 |
| Malware detection in mobile environments based on Autoencoders and API-images G D’Angelo, M Ficco, F Palmieri Journal of Parallel and Distributed Computing 137, 26-33, 2020 | 108 | 2020 |
| Developing a trust model for pervasive computing based on Apriori association rules learning and Bayesian classification G D’Angelo, S Rampone, F Palmieri Soft Computing 21, 6297-6315, 2017 | 103 | 2017 |
| A proposal for distinguishing between bacterial and viral meningitis using genetic programming and decision trees G D’Angelo, R Pilla, C Tascini, S Rampone Soft Computing 23 (22), 11775-11791, 2019 | 84 | 2019 |
| An uncertainty-managing batch relevance-based approach to network anomaly detection G D’angelo, F Palmieri, M Ficco, S Rampone Applied Soft Computing 36, 408-418, 2015 | 65 | 2015 |
| Feature extraction and soft computing methods for aerospace structure defect classification G D’Angelo, S Rampone Measurement 85, 192-209, 2016 | 60 | 2016 |
| Fast eddy current testing defect classification using Lissajous figures G D’Angelo, M Laracca, S Rampone, G Betta IEEE Transactions on Instrumentation and Measurement 67 (4), 821-830, 2018 | 54 | 2018 |
| A cluster-based multidimensional approach for detecting attacks on connected vehicles G D’Angelo, A Castiglione, F Palmieri IEEE Internet of Things Journal 8 (16), 12518-12527, 2020 | 49 | 2020 |
| Association rule-based malware classification using common subsequences of API calls G D’Angelo, M Ficco, F Palmieri Applied Soft Computing 105, 107234, 2021 | 44 | 2021 |
| Effective classification of android malware families through dynamic features and neural networks G D'Angelo, F Palmieri, A Robustelli, A Castiglione Connection Science 33 (3), 786-801, 2021 | 42 | 2021 |
| Detecting unfair recommendations in trust-based pervasive environments G D’Angelo, F Palmieri, S Rampone Information Sciences 486, 31-51, 2019 | 42 | 2019 |
| Knowledge elicitation based on genetic programming for non destructive testing of critical aerospace systems G D’Angelo, F Palmieri Future Generation Computer Systems 102, 633-642, 2020 | 37 | 2020 |
| Automated eddy current non-destructive testing through low definition lissajous figures G D’Angelo, M Laracca, S Rampone 2016 IEEE Metrology for Aerospace (MetroAeroSpace), 280-285, 2016 | 32 | 2016 |
| Shape-based defect classification for non destructive testing G D'Angelo, S Rampone 2015 IEEE Metrology for Aerospace (MetroAeroSpace), 406-410, 2015 | 32 | 2015 |
| Enhancing COVID-19 tracking apps with human activity recognition using a deep convolutional neural network and HAR-images G D’Angelo, F Palmieri Neural Computing and Applications 35 (19), 13861-13877, 2023 | 30 | 2023 |
| Artificial intelligence in hypertension management: an ace up your sleeve V Visco, C Izzo, C Mancusi, A Rispoli, M Tedeschi, N Virtuoso, A Giano, ... Journal of cardiovascular development and disease 10 (2), 74, 2023 | 30 | 2023 |
| On applying AI-driven flight data analysis for operational spacecraft model-based diagnostics M Tipaldi, L Feruglio, P Denis, G D’Angelo Annual Reviews in Control 49, 197-211, 2020 | 30 | 2020 |
| Towards a HPC-oriented parallel implementation of a learning algorithm for bioinformatics applications G D'Angelo, S Rampone BMC bioinformatics 15, 1-15, 2014 | 30 | 2014 |
| Privacy-preserving malware detection in Android-based IoT devices through federated Markov chains G D’Angelo, E Farsimadan, M Ficco, F Palmieri, A Robustelli Future Generation Computer Systems 148, 93-105, 2023 | 27 | 2023 |
