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Javier Nieves
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2010 – 2019
- 2015
- [j3]Carlos Laorden, Patxi Galán-García, Igor Santos, Borja Sanz, Javier Nieves, Pablo García Bringas, José María Gómez Hidalgo:
Negobot: Detecting paedophile activity with a conversational agent based on game theory. Log. J. IGPL 23(1): 17-30 (2015) - 2014
- [j2]Carlos Laorden, Xabier Ugarte-Pedrero, Igor Santos, Borja Sanz, Javier Nieves, Pablo García Bringas:
Study on the effectiveness of anomaly detection for spam filtering. Inf. Sci. 277: 421-444 (2014) - [c15]Igor Santos, Patxi Galán-García, Carlos Laorden Gómez, Javier Nieves, Borja Sanz, Pablo García Bringas, José María Gómez Hidalgo:
An Empirical Study on Word Sense Disambiguation for Adult Content Filtering. SOCO-CISIS-ICEUTE 2014: 537-544 - 2013
- [j1]Borja Sanz, Igor Santos, Carlos Laorden, Xabier Ugarte-Pedrero, Javier Nieves, Pablo García Bringas, Gonzalo Álvarez Marañón:
Mama: manifest Analysis for Malware Detection in Android. Cybern. Syst. 44(6-7): 469-488 (2013) - [c14]Borja Sanz, Igor Santos, Javier Nieves, Carlos Laorden, Iñigo Alonso-Gonzalez, Pablo García Bringas:
MADS: Malicious Android Applications Detection through String Analysis. NSS 2013: 178-191 - [c13]Borja Sanz, Igor Santos, Xabier Ugarte-Pedrero, Carlos Laorden, Javier Nieves, Pablo García Bringas:
Instance-based Anomaly Method for Android Malware Detection. SECRYPT 2013: 387-394 - [c12]Borja Sanz, Igor Santos, Xabier Ugarte-Pedrero, Carlos Laorden, Javier Nieves, Pablo García Bringas:
Anomaly Detection Using String Analysis for Android Malware Detection. SOCO-CISIS-ICEUTE 2013: 469-478 - 2012
- [c11]Carlos Laorden, Xabier Ugarte-Pedrero, Igor Santos, Borja Sanz, Javier Nieves, Pablo García Bringas:
On the study of anomaly-based spam filtering using spam as representation of normality. CCNC 2012: 693-695 - [c10]Javier Nieves, Igor Santos, Pablo García Bringas:
Combination of Machine-Learning Algorithms for Fault Prediction in High-Precision Foundries. DEXA (2) 2012: 56-70 - [c9]Igor Santos, Jaime Devesa, Felix Brezo, Javier Nieves, Pablo García Bringas:
OPEM: A Static-Dynamic Approach for Machine-Learning-Based Malware Detection. CISIS/ICEUTE/SOCO Special Sessions 2012: 271-280 - 2011
- [c8]Igor Santos, Javier Nieves, Pablo García Bringas:
Semi-supervised Learning for Unknown Malware Detection. DCAI 2011: 415-422 - [c7]Igor Santos, Javier Nieves, Xabier Ugarte-Pedrero, Pablo García Bringas:
Anomaly Detection for the Prediction of Ultimate Tensile Strength in Iron Casting Production. DEXA (2) 2011: 519-526 - 2010
- [c6]Javier Nieves, Igor Santos, Yoseba K. Penya, Felix Brezo, Pablo García Bringas:
Enhanced Foundry Production Control. DEXA (1) 2010: 213-220 - [c5]Javier Nieves, Igor Ruiz-Agundez, Pablo García Bringas:
Recognizing Banknote Patterns for Protecting Economic Transactions. DEXA Workshops 2010: 247-249 - [c4]Igor Santos, Felix Brezo, Javier Nieves, Yoseba K. Penya, Borja Sanz, Carlos Laorden, Pablo García Bringas:
Idea: Opcode-Sequence-Based Malware Detection. ESSoS 2010: 35-43 - [c3]José María Gómez Hidalgo, Jose Miguel Martin-Abreu, Javier Nieves, Igor Santos, Felix Brezo, Pablo García Bringas:
Data Leak Prevention through Named Entity Recognition. SocialCom/PASSAT 2010: 1129-1134
2000 – 2009
- 2009
- [c2]Javier Nieves, Igor Santos, Yoseba K. Penya, Sendoa Rojas, Mikel Salazar, Pablo García Bringas:
Mechanical properties prediction in high-precision foundry production. INDIN 2009: 31-36 - [c1]Igor Santos, Javier Nieves, Yoseba K. Penya, Pablo García Bringas:
Optimising Machine-Learning-Based Fault Prediction in Foundry Production. IWANN (2) 2009: 554-561
Coauthor Index
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