Javier Nieves

20 papers B 1C 2Misc 1Journal 4Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bayesian generation of synthetic datasets for machine-learning tasks: a performance study.
Neurocomputing
Paolo Fosci, Javier Nieves, Giuseppe Psaila, Jacopo Boffelli, Pablo García Bringas
2024 — conf
Bayesian Generation of Synthetic Data.
SOCO (1)
Paolo Fosci, Javier Nieves, Giuseppe Psaila, Pablo García Bringas
2015 J jnl
Negobot: Detecting paedophile activity with a conversational agent based on game theory.
Log. J. IGPL
Carlos Laorden, Patxi Galán-García, Igor Santos, Borja Sanz, Javier Nieves, Pablo García Bringas, José María Gómez Hidalgo
2014 — conf
An Empirical Study on Word Sense Disambiguation for Adult Content Filtering.
SOCO-CISIS-ICEUTE
Igor Santos, Patxi Galán-García, Carlos Laorden Gómez, Javier Nieves, Borja Sanz, Pablo García Bringas, José María Gómez Hidalgo
2014 J jnl
Study on the effectiveness of anomaly detection for spam filtering.
Inf. Sci.
Carlos Laorden, Xabier Ugarte-Pedrero, Igor Santos, Borja Sanz, Javier Nieves, Pablo García Bringas
2013 — conf
Anomaly Detection Using String Analysis for Android Malware Detection.
SOCO-CISIS-ICEUTE
Borja Sanz, Igor Santos, Xabier Ugarte-Pedrero, Carlos Laorden, Javier Nieves, Pablo García Bringas
2013 C conf
Instance-based Anomaly Method for Android Malware Detection.
SECRYPT
Borja Sanz, Igor Santos, Xabier Ugarte-Pedrero, Carlos Laorden, Javier Nieves, Pablo García Bringas
2013 B conf
MADS: Malicious Android Applications Detection through String Analysis.
NSS
Borja Sanz, Igor Santos, Javier Nieves, Carlos Laorden, Iñigo Alonso-Gonzalez, Pablo García Bringas
2013 J jnl
Mama: manifest Analysis for Malware Detection in Android.
Cybern. Syst.
Borja Sanz, Igor Santos, Carlos Laorden, Xabier Ugarte-Pedrero, Javier Nieves, Pablo García Bringas, Gonzalo Álvarez Marañón
2012 — conf
Combination of Machine-Learning Algorithms for Fault Prediction in High-Precision Foundries.
DEXA (2)
Javier Nieves, Igor Santos, Pablo García Bringas
2012 — conf
OPEM: A Static-Dynamic Approach for Machine-Learning-Based Malware Detection.
CISIS/ICEUTE/SOCO Special Sessions
Igor Santos, Jaime Devesa, Felix Brezo, Javier Nieves, Pablo García Bringas
2012 — conf
On the study of anomaly-based spam filtering using spam as representation of normality.
CCNC
Carlos Laorden, Xabier Ugarte-Pedrero, Igor Santos, Borja Sanz, Javier Nieves, Pablo García Bringas
2011 — conf
Anomaly Detection for the Prediction of Ultimate Tensile Strength in Iron Casting Production.
DEXA (2)
Igor Santos, Javier Nieves, Xabier Ugarte-Pedrero, Pablo García Bringas
2011 Misc conf
Semi-supervised Learning for Unknown Malware Detection.
DCAI
Igor Santos, Javier Nieves, Pablo García Bringas
2010 — conf
Data Leak Prevention through Named Entity Recognition.
SocialCom/PASSAT
José María Gómez Hidalgo, Jose Miguel Martin-Abreu, Javier Nieves, Igor Santos, Felix Brezo, Pablo García Bringas
2010 — conf
Enhanced Foundry Production Control.
DEXA (1)
Javier Nieves, Igor Santos, Yoseba K. Penya, Felix Brezo, Pablo García Bringas
2010 — conf
Idea: Opcode-Sequence-Based Malware Detection.
ESSoS
Igor Santos, Felix Brezo, Javier Nieves, Yoseba K. Penya, Borja Sanz, Carlos Laorden, Pablo García Bringas
2010 — conf
Recognizing Banknote Patterns for Protecting Economic Transactions.
DEXA Workshops
Javier Nieves, Igor Ruiz-Agundez, Pablo García Bringas
2009 C conf
Mechanical properties prediction in high-precision foundry production.
INDIN
Javier Nieves, Igor Santos, Yoseba K. Penya, Sendoa Rojas, Mikel Salazar, Pablo García Bringas
2009 — conf
Optimising Machine-Learning-Based Fault Prediction in Foundry Production.
IWANN (2)
Igor Santos, Javier Nieves, Yoseba K. Penya, Pablo García Bringas