Follow
Javier Nieves
Javier Nieves
S3Lab, DeustoTech Computing, University of Deusto
Verified email at deusto.es
Title
Cited by
Cited by
Year
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
2882010
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
2502013
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
1502013
Semi-supervised learning for unknown malware detection
I Santos, J Nieves, PG Bringas
International Symposium on Distributed Computing and Artificial Intelligence …, 2011
1332011
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
662014
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
592010
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
362014
Machine-learning-based mechanical properties prediction in foundry production
I Santos, J Nieves, YK Penya, PG Bringas
2009 iccas-sice, 4536-4541, 2009
362009
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
282013
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
272013
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
272009
Optimising machine-learning-based fault prediction in foundry production
I Santos, J Nieves, YK Penya, PG Bringas
Distributed Computing, Artificial Intelligence, Bioinformatics, Soft …, 2009
252009
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
182010
Enhancing fault prediction on automatic foundry processes
I Santos, J Nieves, PG Bringas
2010 World Automation Congress, 1-6, 2010
132010
Enhanced foundry production control
J Nieves, I Santos, YK Penya, F Brezo, PG Bringas
Database and Expert Systems Applications: 21st International Conference …, 2010
122010
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
112013
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
112012
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
102010
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
82013
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
82010
The system can't perform the operation now. Try again later.
Articles 1–20