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 | 640 | 2011 |
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 | 188 | 2019 |
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 | 56 | 2013 |
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 | 34 | 2009 |
Analysis and Experiments on Early Detection of Depression. F Cacheda, DF Iglesias, FJ Nóvoa, V Carneiro CLEF (Working Notes) 2125, 43, 2018 | 32 | 2018 |
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 | 15 | 2020 |
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 | 13 | 2019 |
IoT dataset validation using machine learning techniques for traffic anomaly detection L Vigoya, D Fernandez, V Carneiro, FJ Novoa Electronics 10 (22), 2857, 2021 | 12 | 2021 |
Distributed architecture for k-nearest neighbors recommender systems V Formoso, D Fernández, F Cacheda, V Carneiro World Wide Web 18 (4), 997-1017, 2015 | 9 | 2015 |
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 | 8 | 2019 |
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 | 8 | 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 | 7 | 2013 |
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 | 6 | 2023 |
Network anomaly detection using machine learning techniques JJ Estévez-Pereira, D Fernández, FJ Novoa Proceedings 54 (1), 8, 2020 | 6 | 2020 |
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 | 5 | 2018 |
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 | 5 | 2017 |
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 | 5 | 2011 |
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 | 4 | 2019 |
Performance Evaluation of Large-scale Information Retrieval Systems Scaling Down. F Cacheda, V Carneiro, D Fernández, V Formoso LSDS-IR@ SIGIR, 36-39, 2010 | 4 | 2010 |
Measuring Early Detection of Anomalies MF López-Vizcaíno, FJ Novoa, D Fernández, F Cacheda IEEE Access 10, 127695-127707, 2022 | 3 | 2022 |