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 | 105 | 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 | 101 | 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 | 94 | 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 | 93 | 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 | 81 | 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 | 62 | 2015 |
Feature extraction and soft computing methods for aerospace structure defect classification G D’Angelo, S Rampone Measurement 85, 192-209, 2016 | 54 | 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 | 52 | 2018 |
Association rule-based malware classification using common subsequences of API calls G D’Angelo, M Ficco, F Palmieri Applied Soft Computing 105, 107234, 2021 | 40 | 2021 |
Detecting unfair recommendations in trust-based pervasive environments G D’Angelo, F Palmieri, S Rampone Information Sciences 486, 31-51, 2019 | 40 | 2019 |
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 | 38 | 2020 |
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 | 35 | 2020 |
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 | 31 | 2021 |
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 | 31 | 2016 |
Shape-based defect classification for non destructive testing G D'Angelo, S Rampone 2015 IEEE Metrology for Aerospace (MetroAeroSpace), 406-410, 2015 | 31 | 2015 |
Towards a HPC-oriented parallel implementation of a learning algorithm for bioinformatics applications G D'Angelo, S Rampone BMC bioinformatics 15 (5), 1-15, 2014 | 29 | 2014 |
Diagnosis of aerospace structure defects by a HPC implemented soft computing algorithm G D'Angelo, S Rampone 2014 IEEE Metrology for Aerospace (MetroAeroSpace), 408-412, 2014 | 25 | 2014 |
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, 1-17, 2021 | 24 | 2021 |
Spacecraft autonomy modeled via Markov decision process and associative rule-based machine learning G D'Angelo, M Tipaldi, L Glielmo, S Rampone 2017 IEEE international workshop on metrology for aerospace (MetroAeroSpace …, 2017 | 23 | 2017 |
Discovering genomic patterns in SARS‐CoV‐2 variants G D'Angelo, F Palmieri International Journal of Intelligent Systems 35 (11), 1680-1698, 2020 | 22 | 2020 |