Ignacio Martín

Orcid: 0000-0002-1217-7546

Affiliations:
  • University Carlos III de Madrid, Spain


According to our database1, Ignacio Martín authored at least 16 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Applications of Machine Learning Techniques for What-if Analysis and Network Overload Detection.
Proceedings of the 18th International Conference on the Design of Reliable Communication Networks, 2022

2019
Machine Learning-Based Routing and Wavelength Assignment in Software-Defined Optical Networks.
IEEE Trans. Netw. Serv. Manag., 2019

Machine-Learning based analysis and classification of Android malware signatures.
Future Gener. Comput. Syst., 2019

CloneSpot: Fast detection of Android repackages.
Future Gener. Comput. Syst., 2019

Meeting the Traffic Requirements of Residential Users in the Next Decade with Current FTTH Standards: How Much? How Long?
IEEE Commun. Mag., 2019

Netgen: A Fast and Scalable Tool for the Generation and Labeling of Networking Datasets.
Proceedings of the 21st International Conference on Transparent Optical Networks, 2019

Machine Learning-assisted Planning and Provisioning for SDN/NFV-enabled Metropolitan Networks.
Proceedings of the European Conference on Networks and Communications, 2019

2018
Android Malware Characterization Using Metadata and Machine Learning Techniques.
Secur. Commun. Networks, 2018

Salary Prediction in the IT Job Market with Few High-Dimensional Samples: A Spanish Case Study.
Int. J. Comput. Intell. Syst., 2018

Analysis and Evaluation of Antivirus Engines in Detecting Android Malware: A Data Analytics Approach.
Proceedings of the European Intelligence and Security Informatics Conference, 2018

Machine-Learning-Assisted Routing in SDN-Based Optical Networks.
Proceedings of the European Conference on Optical Communication, 2018

Is Machine Learning Suitable for Solving RWA Problems in Optical Networks?
Proceedings of the European Conference on Optical Communication, 2018

SignatureMiner: A Fast Anti-Virus Signature Intelligence Tool.
Proceedings of the 2018 IEEE Conference on Communications and Network Security, 2018

2017
On labeling Android malware signatures using minhashing and further classification with Structural Equation Models.
CoRR, 2017

2016
POSTER: Insights of Antivirus Relationships when Detecting Android Malware: A Data Analytics Approach.
Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, 2016

2015
Android malware detection from Google Play meta-data: Selection of important features.
Proceedings of the 2015 IEEE Conference on Communications and Network Security, 2015


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