Diego Fernández

19 papers A 2B 4Journal 8Unranked 5

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Measuring Early Detection of Anomalies. IEEE Access Manuel F. López-Vizcaíno, Francisco Javier Nóvoa, Diego Fernández, Fidel Cacheda
2022	—	`conf`	Real-Time Network Auditing System Based on Low-Cost IoT Devices. UCAmI Pedro Fernández-Arruti, Alejandro Mosteiro Vázquez, Carlos Dafonte, Diego Fernández, Francisco Javier Nóvoa
2020	J	`jnl`	A Content-Based Approach to Profile Expansion. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Diego Fernández, Vreixo Formoso, Fidel Cacheda, Victor Carneiro
2020	J	`jnl`	Annotated Dataset for Anomaly Detection in a Data Center with IoT Sensors. Sensors Laura Vigoya, Diego Fernández, Victor Carneiro, Fidel Cacheda
2020	—	`conf`	HOPE (High Order Profile Expansion) for the New User Problem on Recommender Systems. CIRCLE Diego Fernández, Vreixo Formoso, Fidel Cacheda, Victor Carneiro
2019	B	`conf`	Early Intrusion Detection for OS Scan Attacks. NCA Manuel F. López-Vizcaíno, Francisco Javier Nóvoa, Diego Fernández, Victor Carneiro, Fidel Cacheda
2019	B	`conf`	Network Data Flow Clustering based on Unsupervised Learning. NCA Manuel F. López-Vizcaíno, Carlos Dafonte, Francisco Javier Nóvoa, Daniel Garabato, Marco Antonio Álvarez, Diego Fernández
2018	B	`conf`	A Practical Application of a Dataset Analysis in an Intrusion Detection System. NCA Diego Fernández, Laura Vigoya, Fidel Cacheda, Francisco Javier Nóvoa, Manuel F. López-Vizcaíno, Victor Carneiro
2017	J	`jnl`	Advancing Network Flow Information Using Collaborative Filtering. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Diego Fernández, Francisco Javier Nóvoa, Fidel Cacheda, Victor Carneiro
2017	B	`conf`	Tools for managing network traffic flows: A comparative analysis. NCA Diego Fernández, Hugo Lorenzo, Francisco Javier Nóvoa, Fidel Cacheda, Victor Carneiro
2016	—	`conf`	Using Collaborative Filtering in a new domain: traffic analysis. CERI Diego Fernández, Xacobe Macía da Silva, Francisco Javier Nóvoa, Fidel Cacheda, Victor Carneiro
2015	J	`jnl`	Distributed architecture for k-nearest neighbors recommender systems. World Wide Web Vreixo Formoso, Diego Fernández, Fidel Cacheda, Victor Carneiro
2013	J	`jnl`	Using profile expansion techniques to alleviate the new user problem. Inf. Process. Manag. Vreixo Formoso, Diego Fernández, Fidel Cacheda, Victor Carneiro
2013	J	`jnl`	Using rating matrix compression techniques to speed up collaborative recommendations. Inf. Retr. Vreixo Formoso, Diego Fernández, Fidel Cacheda, Victor Carneiro
2012	—	`conf`	Using Neighborhood Pre-computation to Increase Recommendation Efficiency. KDIR Vreixo Formoso, Diego Fernández, Fidel Cacheda, Victor Carneiro
2011	J	`jnl`	Comparison of collaborative filtering algorithms: Limitations of current techniques and proposals for scalable, high-performance recommender systems. ACM Trans. Web Fidel Cacheda, Victor Carneiro, Diego Fernández, Vreixo Formoso
2011	A	`conf`	Improving k-nearest neighbors algorithms: practical application of dataset analysis. CIKM Fidel Cacheda, Victor Carneiro, Diego Fernández, Vreixo Formoso
2010	—	`conf`	Performance Evaluation of Large-scale Information Retrieval Systems Scaling Down. LSDS-IR@SIGIR Fidel Cacheda, Victor Carneiro, Diego Fernández, Vreixo Formoso
2009	A	`conf`	Search shortcuts: a new approach to the recommendation of queries. RecSys Ranieri Baraglia, Fidel Cacheda, Victor Carneiro, Diego Fernández, Vreixo Formoso, Raffaele Perego, Fabrizio Silvestri