Diego Fernández Iglesias
Diego Fernández Iglesias
University of A Coruña, CITIC Reseach Center
Verified email at udc.es
Cited by
Cited by
Comparison of collaborative filtering algorithms: Limitations of current techniques and proposals for scalable, high-performance recommender systems
F Cacheda, V Carneiro, D Fernández, V Formoso
ACM Transactions on the Web (TWEB) 5 (1), 1-33, 2011
Using profile expansion techniques to alleviate the new user problem
V Formoso, D Fernández, F Cacheda, V Carneiro
Information processing & management 49 (3), 659-672, 2013
Early detection of depression: social network analysis and random forest techniques
F Cacheda, D Fernandez, FJ Novoa, V Carneiro
Journal of medical Internet research 21 (6), e12554, 2019
Search shortcuts: a new approach to the recommendation of queries
R Baraglia, F Cacheda, V Carneiro, D Fernandez, V Formoso, R Perego, ...
Proceedings of the third ACM Conference on Recommender Systems, 77-84, 2009
Analysis and Experiments on Early Detection of Depression.
F Cacheda, DF Iglesias, FJ Nóvoa, V Carneiro
CLEF (Working Notes) 2125, 2018
Distributed architecture for k-nearest neighbors recommender systems
V Formoso, D Fernández, F Cacheda, V Carneiro
World Wide Web 18 (4), 997-1017, 2015
Experiences on a practical course of web information retrieval: Developing a search engine
F Cacheda, D Fernandez, R Lopez
Second International Workshop on Teaching and Learning of Information …, 2008
Using rating matrix compression techniques to speed up collaborative recommendations
V Formoso, D Fernández, F Cacheda, V Carneiro
Information retrieval 16 (6), 680-696, 2013
Anomaly detection in IoT: methods, techniques and tools
LVV Morales, M López-Vizcaíno, DF Iglesias, VMC Díaz
Multidisciplinary Digital Publishing Institute Proceedings 21 (1), 4, 2019
Improving k-nearest neighbors algorithms: practical application of dataset analysis
F Cacheda, V Carneiro, D Fernández, V Formoso
Proceedings of the 20th ACM international conference on Information and …, 2011
Performance evaluation of large-scale Information Retrieval systems scaling down
F Cacheda, V Carneiro, D Fernández, V Formoso
A practical application of a dataset analysis in an intrusion detection system
D Fernandez, L Vigoya, F Cacheda, FJ Novoa, MF Lopez-Vizcaino, ...
2018 IEEE 17th International Symposium on Network Computing and Applications …, 2018
High Order Profile Expansion to tackle the new user problem on recommender systems
D Fernández, V Formoso, F Cacheda, V Carneiro
PloS one 14 (11), e0224555, 2019
Early Intrusion Detection for OS Scan Attacks
M López-Vizcaíno, FJ Novoa, D Fernández, V Carneiro, F Cacheda
2019 IEEE 18th International Symposium on Network Computing and Applications …, 2019
Vídeos cortos realizados por los alumnos como recurso docente. Diferentes enfoques.
G Azuara Guillén, D Fernández Iglesias, AM López Torres, ...
XIII Jornadas de Ingeniería telemática (JITEL 2017). Libro de actas, 348-355, 2018
Recommendation method and system
FC Seijo, VMC Diaz, BF López, DF Iglesias, AMF Veiga
US Patent App. 13/483,048, 2012
Annotated dataset for anomaly detection in a data center with IoT sensors
L Vigoya, D Fernandez, V Carneiro, F Cacheda
Sensors 20 (13), 3745, 2020
Using Collaborative Filtering in a new domain: traffic analysis
D Fernández, XM da Silva, FJ Nóvoa, F Cacheda, V Carneiro
Proceedings of the 4th Spanish Conference on Information Retrieval, 1-8, 2016
Uso de técnicas de recomendación en sistemas dispersos
D Fernández Iglesias
Using Neighborhood Pre-computation to Increase Recommendation Efficiency.
V Formoso, D Fernández, F Cacheda, V Carneiro
KDIR, 333-335, 2012
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