| Idea: Opcode-sequence-based malware detection I Santos, F Brezo, J Nieves, YK Penya, B Sanz, C Laorden, PG Bringas Engineering Secure Software and Systems: Second International Symposium …, 2010 | 283 | 2010 |
| Opem: A static-dynamic approach for machine-learning-based malware detection I Santos, J Devesa, F Brezo, J Nieves, PG Bringas International joint conference CISIS’12-ICEUTE´ 12-SOCO´ 12 special sessions …, 2013 | 241 | 2013 |
| MAMA: manifest analysis for malware detection in android B Sanz, I Santos, C Laorden, X Ugarte-Pedrero, J Nieves, PG Bringas, ... Cybernetics and Systems 44 (6-7), 469-488, 2013 | 146 | 2013 |
| Semi-supervised learning for unknown malware detection I Santos, J Nieves, PG Bringas International Symposium on Distributed Computing and Artificial Intelligence …, 2011 | 127 | 2011 |
| Study on the effectiveness of anomaly detection for spam filtering C Laorden, X Ugarte-Pedrero, I Santos, B Sanz, J Nieves, PG Bringas Information Sciences 277, 421-444, 2014 | 68 | 2014 |
| Data leak prevention through named entity recognition JM Gomez-Hidalgo, JM Martín-Abreu, J Nieves, I Santos, F Brezo, ... 2010 IEEE Second International Conference on Social Computing, 1129-1134, 2010 | 54 | 2010 |
| Anomaly detection using string analysis for android malware detection B Sanz, I Santos, X Ugarte-Pedrero, C Laorden, J Nieves, PG Bringas International Joint Conference SOCO’13-CISIS’13-ICEUTE’13: Salamanca, Spain …, 2014 | 35 | 2014 |
| Machine-learning-based mechanical properties prediction in foundry production I Santos, J Nieves, YK Penya, PG Bringas 2009 iccas-sice, 4536-4541, 2009 | 35 | 2009 |
| Instance-based anomaly method for Android malware detection B Sanz, I Santos, X Ugarte-Pedrero, C Laorden, J Nieves, PG Bringas 2013 International Conference on Security and Cryptography (SECRYPT), 1-8, 2013 | 28 | 2013 |
| Mads: malicious android applications detection through string analysis B Sanz, I Santos, J Nieves, C Laorden, I Alonso-Gonzalez, PG Bringas Network and System Security: 7th International Conference, NSS 2013, Madrid …, 2013 | 27 | 2013 |
| Mechanical properties prediction in high-precision foundry production J Nieves, I Santos, YK Penya, S Rojas, M Salazar, PG Bringas 2009 7th IEEE International Conference on Industrial Informatics, 31-36, 2009 | 27 | 2009 |
| Optimising machine-learning-based fault prediction in foundry production I Santos, J Nieves, YK Penya, PG Bringas Distributed Computing, Artificial Intelligence, Bioinformatics, Soft …, 2009 | 25 | 2009 |
| Machine-learning-based defect prediction in highprecision foundry production I Santos, J Nieves, P Bringas, Y Penya Structural Steel and Castings: Shapes and Standards, Properties and …, 2010 | 17 | 2010 |
| Enhancing fault prediction on automatic foundry processes I Santos, J Nieves, PG Bringas 2010 World Automation Congress, 1-6, 2010 | 13 | 2010 |
| Enhanced foundry production control J Nieves, I Santos, YK Penya, F Brezo, PG Bringas Database and Expert Systems Applications: 21st International Conference …, 2010 | 12 | 2010 |
| Enhancing the prediction stage of a model predictive control systems through meta-classifiers J Nieves, I Santos, PG Bringas Dyna 88 (3), 290-298, 2013 | 11 | 2013 |
| Combination of machine-learning algorithms for fault prediction in high-precision foundries J Nieves, I Santos, PG Bringas Database and Expert Systems Applications: 23rd International Conference …, 2012 | 11 | 2012 |
| Towards noise and error reduction on foundry data gathering processes I Santos, J Nieves, YK Penya, PG Bringas 2010 IEEE International Symposium on Industrial Electronics, 1765-1770, 2010 | 10 | 2010 |
| Supervised learning classification for dross prediction in ductile iron casting production I Santos, J Nieves, PG Bringas, A Zabala, J Sertucha 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA …, 2013 | 8 | 2013 |
| Recognizing banknote patterns for protecting economic transactions J Nieves, I Ruiz-Agundez, PG Bringas 2010 Workshops on Database and Expert Systems Applications, 247-249, 2010 | 8 | 2010 |
