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
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
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
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
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
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
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
Density-based semi-supervised clustering
C Ruiz, M Spiliopoulou, E Menasalvas
Data mining and knowledge discovery 21 (3), 345-370, 2010
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
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
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
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
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
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
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
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
Tracking recurrent concepts using context
EM João Bártolo Gomes, Pedro A.C. Sousa
Intelligent Data Analysis 16 (5), 803, 2012
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Articles 1–20