Diego Fernández

According to our database, Diego Fernández authored at least 21 papers between 2009 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Measuring Early Detection of Anomalies.

Manuel F. López-Vizcaíno, Francisco Javier Nóvoa, Diego Fernández, Fidel Cacheda

IEEE Access, 2022

Real-Time Network Auditing System Based on Low-Cost IoT Devices.

Pedro Fernández-Arruti, Alejandro Mosteiro Vázquez, Carlos Dafonte, Diego Fernández, Francisco Javier Nóvoa

Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence, 2022

2020

Annotated Dataset for Anomaly Detection in a Data Center with IoT Sensors.

Laura Vigoya, Diego Fernández, Victor Carneiro, Fidel Cacheda

Sensors, 2020

A Content-Based Approach to Profile Expansion.

Diego Fernández, Vreixo Formoso, Fidel Cacheda, Victor Carneiro

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2020

HOPE (High Order Profile Expansion) for the New User Problem on Recommender Systems.

Diego Fernández, Vreixo Formoso, Fidel Cacheda, Victor Carneiro

Proceedings of the First Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2020), 2020

2019

Early Intrusion Detection for OS Scan Attacks.

Manuel F. López-Vizcaíno, Francisco Javier Nóvoa, Diego Fernández, Victor Carneiro, Fidel Cacheda

Proceedings of the 18th IEEE International Symposium on Network Computing and Applications, 2019

Network Data Flow Clustering based on Unsupervised Learning.

Manuel F. López-Vizcaíno, Carlos Dafonte, Francisco Javier Nóvoa, Daniel Garabato, Marco Antonio Álvarez, Diego Fernández

Proceedings of the 18th IEEE International Symposium on Network Computing and Applications, 2019

2018

A Practical Application of a Dataset Analysis in an Intrusion Detection System.

Diego Fernández, Laura Vigoya, Fidel Cacheda, Francisco Javier Nóvoa, Manuel F. López-Vizcaíno, Victor Carneiro

Proceedings of the 17th IEEE International Symposium on Network Computing and Applications, 2018

Analysis and Experiments on Early Detection of Depression.

Fidel Cacheda, Diego Fernández Iglesias, Francisco Javier Nóvoa, Victor Carneiro

Proceedings of the Working Notes of CLEF 2018, 2018

Trends in the creation of Spanish web sites and their active service.

Joofre Honores Tapia, Diego Fernández Iglesias, Fidel Cacheda Seijo

Proceedings of the 5th Spanish Conference on Information Retrieval, 2018

2017

Advancing Network Flow Information Using Collaborative Filtering.

Diego Fernández, Francisco Javier Nóvoa, Fidel Cacheda, Victor Carneiro

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2017

Tools for managing network traffic flows: A comparative analysis.

Diego Fernández, Hugo Lorenzo, Francisco Javier Nóvoa, Fidel Cacheda, Victor Carneiro

Proceedings of the 16th IEEE International Symposium on Network Computing and Applications, 2017

2016

Using Collaborative Filtering in a new domain: traffic analysis.

Diego Fernández, Xacobe Macía da Silva, Francisco Javier Nóvoa, Fidel Cacheda, Victor Carneiro

Proceedings of the 4th Spanish Conference on Information Retrieval, 2016

2015

Distributed architecture for k-nearest neighbors recommender systems.

Vreixo Formoso, Diego Fernández, Fidel Cacheda, Victor Carneiro

World Wide Web, 2015

2013

Using rating matrix compression techniques to speed up collaborative recommendations.

Vreixo Formoso, Diego Fernández, Fidel Cacheda, Victor Carneiro

Inf. Retr., 2013

Using profile expansion techniques to alleviate the new user problem.

Vreixo Formoso, Diego Fernández, Fidel Cacheda, Victor Carneiro

Inf. Process. Manag., 2013

2012

Using Neighborhood Pre-computation to Increase Recommendation Efficiency.

Vreixo Formoso, Diego Fernández, Fidel Cacheda, Victor Carneiro

Proceedings of the KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Barcelona, Spain, 4, 2012

2011

Comparison of collaborative filtering algorithms: Limitations of current techniques and proposals for scalable, high-performance recommender systems.

Fidel Cacheda, Victor Carneiro, Diego Fernández, Vreixo Formoso

ACM Trans. Web, 2011

Improving k-nearest neighbors algorithms: practical application of dataset analysis.

Fidel Cacheda, Victor Carneiro, Diego Fernández, Vreixo Formoso

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Performance Evaluation of Large-scale Information Retrieval Systems Scaling Down.

Fidel Cacheda, Victor Carneiro, Diego Fernández, Vreixo Formoso

Proceedings of the 8th Workshop on Large-Scale Distributed Systems for Information Retrieval, 2010

2009

Search shortcuts: a new approach to the recommendation of queries.

Ranieri Baraglia, Fidel Cacheda, Victor Carneiro, Diego Fernández, Vreixo Formoso, Raffaele Perego, Fabrizio Silvestri

Proceedings of the 2009 ACM Conference on Recommender Systems, 2009