Ignacio Martín

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 17

Top Topics

Malware Detection

Machine Learning

Top Venues

Future Gener. Comput. Syst.

Publications

José Alberto Hernández, Ignacio Martín, Pablo Camarillo, Gonzalo Martínez Ruiz de Arcaute
Applications of Machine Learning Techniques for What-if Analysis and Network Overload Detection. DRCN (2022)
Ignacio Martín, José Alberto Hernández, Óscar González de Dios
Netgen: A Fast and Scalable Tool for the Generation and Labeling of Networking Datasets. ICTON (2019)
Ignacio Martín, José Alberto Hernández
CloneSpot: Fast detection of Android repackages. Future Gener. Comput. Syst. 94 (2019)
Ignacio Martín, José Alberto Hernández, Sergio de los Santos
Machine-Learning based analysis and classification of Android malware signatures. Future Gener. Comput. Syst. 97 (2019)
Sebastian Troia, David Eugui Martinez, Ignacio Martín, Ligia Maria Moreira Zorello, Guido Maier, José Alberto Hernández, Óscar González de Dios, Miquel Garrich, José Luis Romero-Gázquez, Francisco-Javier Moreno-Muro, Pablo Pavón-Mariño, Ramon Casellas
Machine Learning-assisted Planning and Provisioning for SDN/NFV-enabled Metropolitan Networks. EuCNC (2019)
Ignacio Martín, Sebastian Troia, José Alberto Hernández, Alberto Rodriguez, Francesco Musumeci, Guido Maier, Rodolfo Alvizu, Óscar González de Dios
Machine Learning-Based Routing and Wavelength Assignment in Software-Defined Optical Networks. IEEE Trans. Netw. Serv. Manag. 16 (3) (2019)
José Alberto Hernández, Rafael Sánchez, Ignacio Martín, David Larrabeiti
Meeting the Traffic Requirements of Residential Users in the Next Decade with Current FTTH Standards: How Much? How Long? IEEE Commun. Mag. 57 (6) (2019)
Sebastian Troia, Alberto Rodriguez, Ignacio Martín, José Alberto Hernández, Óscar González de Dios, Rodolfo Alvizu, Francesco Musumeci, Guido Maier
Machine-Learning-Assisted Routing in SDN-Based Optical Networks. ECOC (2018)
Ignacio Martín, José Alberto Hernández, Sergio de los Santos, Antonio Guzmán
Analysis and Evaluation of Antivirus Engines in Detecting Android Malware: A Data Analytics Approach. EISIC (2018)
Ignacio Martín, José Alberto Hernández, Sebastian Troia, Francesco Musumeci, Guido Maier, Óscar González de Dios
Is Machine Learning Suitable for Solving RWA Problems in Optical Networks? ECOC (2018)
Ignacio Martín, José Alberto Hernández, Alfonso Muñoz, Antonio Guzmán
Android Malware Characterization Using Metadata and Machine Learning Techniques. Secur. Commun. Networks 2018 (2018)
Ignacio Martín, José Alberto Hernández, Sergio de los Santos
SignatureMiner: A Fast Anti-Virus Signature Intelligence Tool. CNS (2018)
Ignacio Martín, Andrea Mariello, Roberto Battiti, José Alberto Hernández
Salary Prediction in the IT Job Market with Few High-Dimensional Samples: A Spanish Case Study. Int. J. Comput. Intell. Syst. 11 (1) (2018)
José Alberto Hernández, Rafael Sánchez, Ignacio Martín, David Larrabeiti
Meeting the traffic requirements of residential users in the next decade with current FTTH standards: how much? how long? CoRR (2018)
Ignacio Martín, José Alberto Hernández, Alfonso Muñoz, Antonio Guzmán
Android Malware Characterization using Metadata and Machine Learning Techniques. CoRR (2017)
Ignacio Martín, José Alberto Hernández, Sergio de los Santos
On labeling Android malware signatures using minhashing and further classification with Structural Equation Models. CoRR (2017)
Ignacio Martín, José Alberto Hernández, Sergio de los Santos, Antonio Guzmán
POSTER: Insights of Antivirus Relationships when Detecting Android Malware: A Data Analytics Approach. CCS (2016)
Alfonso Muñoz, Ignacio Martín, Antonio Guzmán, José Alberto Hernández
Android malware detection from Google Play meta-data: Selection of important features. CNS (2015)