| 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 | 107 | 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 | 87 | 2019 |
| Towards near-real-time intrusion detection for IoT devices using supervised learning and apache spark V Morfino, S Rampone Electronics 9 (3), 444, 2020 | 80 | 2020 |
| 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 | 68 | 2015 |
| HS3D, a dataset of Homo Sapiens splice regions, and its extraction procedure from a major public database P Pollastro, S Rampone International Journal of Modern Physics C 13 (08), 1105-1117, 2002 | 68 | 2002 |
| Recognition of splice junctions on DNA sequences by BRAIN learning algorithm. S Rampone Bioinformatics (Oxford, England) 14 (8), 676-684, 1998 | 65 | 1998 |
| Feature extraction and soft computing methods for aerospace structure defect classification G D’Angelo, S Rampone Measurement 85, 192-209, 2016 | 62 | 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 | 61 | 2018 |
| Neural net aided detection of astronomical periodicities in geologic records M Brescia, B D'Argenio, V Ferreri, G Longo, N Pelosi, S Rampone, ... Earth and Planetary Science Letters 139 (1-2), 33-45, 1996 | 57 | 1996 |
| Detecting unfair recommendations in trust-based pervasive environments G D’Angelo, F Palmieri, S Rampone Information Sciences 486, 31-51, 2019 | 43 | 2019 |
| Hs3d: Homo sapiens splice site data set P Pollastro, S Rampone Nucleic Acids Research, 2003 | 42 | 2003 |
| Neural network aided glitch-burst discrimination and glitch classification S Rampone, V Pierro, L Troiano, IM Pinto International Journal of Modern Physics C 24 (11), 1350084, 2013 | 37 | 2013 |
| Machine learning identifies a strong association between warming and reduced primary productivity in an oligotrophic ocean gyre D D’Alelio, S Rampone, LM Cusano, V Morfino, L Russo, N Sanseverino, ... Scientific reports 10 (1), 3287, 2020 | 36 | 2020 |
| Shape-based defect classification for non destructive testing G D'Angelo, S Rampone 2015 IEEE Metrology for Aerospace (MetroAeroSpace), 406-410, 2015 | 34 | 2015 |
| An artificial intelligence-based trust model for pervasive computing G DAngelo, S Rampone, F Palmieri 2015 10th international conference on P2p, parallel, grid, cloud and …, 2015 | 33 | 2015 |
| 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 |
| Towards an incremental SVM for regression M Carozza, S Rampone Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000 | 32 | 2000 |
| 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 |
| 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 | 27 | 2017 |
| A neural network for error correcting decoding of binary linear codes A Esposito, S Rampone, R Tagliaferri Neural networks 7 (1), 195-202, 1994 | 27 | 1994 |
Anna EspositoFull Professor of Computer Science, Università della Campania "Luigi Vanvitelli" and IIASSVahvistettu sähköpostiosoite verkkotunnuksessa unicampania.it
