Ernestina Menasalvas
Cited by
Cited by
Combining complex networks and data mining: why and how
M Zanin, D Papo, PA Sousa, E Menasalvas, A Nicchi, E Kubik, ...
Physics Reports 635, 1-44, 2016
C-dbscan: Density-based clustering with constraints
C Ruiz, M Spiliopoulou, E Menasalvas
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 11th …, 2007
Web usage mining project for improving web-based learning sites
ME Zorrilla, E Menasalvas, D Marin, E Mora, J Segovia
Computer Aided Systems Theory–EUROCAST 2005: 10th International Conference …, 2005
Toward data mining engineering: A software engineering approach
O Marbán, J Segovia, E Menasalvas, C Fernández-Baizán
Information systems 34 (1), 87-107, 2009
To burn-out or not to burn-out: a cross-sectional study in healthcare professionals in Spain during COVID-19 pandemic
M Torrente, PAC Sousa, A Sánchez-Ramos, J Pimentao, A Royuela, ...
BMJ open 11 (2), e044945, 2021
Optimizing functional network representation of multivariate time series
M Zanin, P Sousa, D Papo, R Bajo, J García-Prieto, F Pozo, E Menasalvas, ...
Scientific reports 2 (1), 630, 2012
Legal disputes as a proxy for regional conflicts over water rights in Chile
D Rivera, A Godoy-Faúndez, M Lillo, A Alvez, V Delgado, ...
Journal of Hydrology 535, 36-45, 2016
Density-based semi-supervised clustering
C Ruiz, M Spiliopoulou, E Menasalvas
Data mining and knowledge discovery 21 (3), 345-370, 2010
A methodology to compare dimensionality reduction algorithms in terms of loss of quality
A Gracia, S González, V Robles, E Menasalvas
Information Sciences 270, 1-27, 2014
Mars: a personalised mobile activity recognition system
JB Gomes, S Krishnaswamy, MM Gaber, PAC Sousa, E Menasalvas
2012 IEEE 13th International Conference on Mobile Data Management, 316-319, 2012
C-denstream: Using domain knowledge on a data stream
C Ruiz, E Menasalvas, M Spiliopoulou
Discovery Science: 12th International Conference, DS 2009, Porto, Portugal …, 2009
Mining recurring concepts in a dynamic feature space
JB Gomes, MM Gaber, PAC Sousa, E Menasalvas
IEEE Transactions on Neural Networks and Learning Systems 25 (1), 95-110, 2013
Bayesian network multi-classifiers for protein secondary structure prediction
V Robles, P Larranaga, JM Pena, E Menasalvas, MS Pérez, V Herves, ...
Artificial Intelligence in Medicine 31 (2), 117-136, 2004
A multicenter study of the early detection of synaptic dysfunction in Mild Cognitive Impairment using Magnetoencephalography-derived functional connectivity
F Maestú, JM Peña, P Garcés, S González, R Bajo, A Bagic, P Cuesta, ...
NeuroImage: Clinical 9, 103-109, 2015
Prediction of MOR and MOE of structural plywood board using an artificial neural network and comparison with a multivariate regression model
FG Fernández, P de Palacios, LG Esteban, A Garcia-Iruela, BG Rodrigo, ...
Composites Part B: Engineering 43 (8), 3528-3533, 2012
A cost model to estimate the effort of data mining projects (DMCoMo)
O Marbán, E Menasalvas, C Fernández-Baizán
Information Systems 33 (1), 133-150, 2008
Learning recurring concepts from data streams with a context-aware ensemble
JB Gomes, E Menasalvas, PAC Sousa
Proceedings of the 2011 ACM symposium on applied computing, 994-999, 2011
An approach to detect negation on medical documents in Spanish
R Costumero, F López, C Gonzalo-Martín, M Millan, E Menasalvas
Brain Informatics and Health: International Conference, BIH 2014, Warsaw …, 2014
Tracking recurrent concepts using context
EM João Bártolo Gomes, Pedro A.C. Sousa
Intelligent Data Analysis 16 (5), 803, 2012
Importance of medical data preprocessing in predictive modeling and risk factor discovery for the frailty syndrome
AP Hassler, E Menasalvas, FJ García-García, L Rodríguez-Mañas, ...
BMC medical informatics and decision making 19, 1-17, 2019
The system can't perform the operation now. Try again later.
Articles 1–20