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Diego Fernández Iglesias
Diego Fernández Iglesias
University of A Coruña, CITIC Reseach Center
Dirección de correo verificada de udc.es
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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
6392011
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
1812019
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
562013
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
342009
Analysis and Experiments on Early Detection of Depression.
F Cacheda, DF Iglesias, FJ Nóvoa, V Carneiro
CLEF (Working Notes) 2125, 43, 2018
322018
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
152020
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
132019
IoT dataset validation using machine learning techniques for traffic anomaly detection
L Vigoya, D Fernandez, V Carneiro, FJ Novoa
Electronics 10 (22), 2857, 2021
102021
Distributed architecture for k-nearest neighbors recommender systems
V Formoso, D Fernández, F Cacheda, V Carneiro
World Wide Web 18 (4), 997-1017, 2015
92015
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
82008
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
72019
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
72013
Application of machine learning algorithms for the validation of a new CoAP-IoT anomaly detection dataset
L Vigoya, A Pardal, D Fernandez, V Carneiro
Applied Sciences 13 (7), 4482, 2023
62023
Network anomaly detection using machine learning techniques
JJ Estévez-Pereira, D Fernández, FJ Novoa
Proceedings 54 (1), 8, 2020
62020
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
52018
Tools for managing network traffic flows: A comparative analysis
D Fernandez, H Lorenzo, FJ Novoa, F Cacheda, V Carneiro
2017 IEEE 16th International Symposium on Network Computing and Applications …, 2017
52017
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
52011
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
42019
Performance Evaluation of Large-scale Information Retrieval Systems Scaling Down.
F Cacheda, V Carneiro, D Fernández, V Formoso
LSDS-IR@ SIGIR, 36-39, 2010
42010
Measuring Early Detection of Anomalies
MF López-Vizcaíno, FJ Novoa, D Fernández, F Cacheda
IEEE Access 10, 127695-127707, 2022
32022
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