Fernando Bacao
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Cited by
An e-learning theoretical framework
M Aparicio, F Bacao, T Oliveira
An e-learning theoretical framework, 292-307, 2016
Modeling and mapping wildfire ignition risk in Portugal
FX Catry, FC Rego, FL Bação, F Moreira
International Journal of Wildland Fire 18 (8), 921-931, 2009
Digital divide across the European Union
F Cruz-Jesus, T Oliveira, F Bacao
Information & Management 49 (6), 278-291, 2012
Effective data generation for imbalanced learning using conditional generative adversarial networks
G Douzas, F Bacao
Expert Systems with applications 91, 464-471, 2018
Self-organizing maps as substitutes for k-means clustering
F Bação, V Lobo, M Painho
International Conference on Computational Science, 476-483, 2005
Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE
G Douzas, F Bacao, F Last
Information Sciences 465, 1-20, 2018
Grit in the path to e-learning success
M Aparicio, F Bacao, T Oliveira
Computers in Human Behavior 66, 388-399, 2017
Gamification: A key determinant of massive open online course (MOOC) success
M Aparicio, T Oliveira, F Bacao, M Painho
Information & Management 56 (1), 39-54, 2019
Cultural impacts on e-learning systems' success
M Aparicio, F Bacao, T Oliveira
The Internet and Higher Education 31, 58-70, 2016
The education-related digital divide: An analysis for the EU-28
F Cruz-Jesus, MR Vicente, F Bacao, T Oliveira
Computers in Human Behavior 56, 72-82, 2016
Applying genetic algorithms to zone design
F Bacao, V Lobo, M Painho
Soft Computing 9 (5), 341-348, 2005
The self-organizing map, the Geo-SOM, and relevant variants for geosciences
F Bação, V Lobo, M Painho
Computers & geosciences 31 (2), 155-163, 2005
Assessing the pattern between economic and digital development of countries
F Cruz-Jesus, T Oliveira, F Bacao, Z Irani
Information Systems Frontiers 19 (4), 835-854, 2017
Binary-based similarity measures for categorical data and their application in Self-Organizing Maps
F Lourenço, V Lobo, F Bacao
Joclad 88, 1-18, 2004
Self-Organizing Map Oversampling (SOMO) for imbalanced data set learning
G Douzas, F Bacao
Expert systems with Applications 82, 40-52, 2017
Size-dependent pattern of wildfire ignitions in Portugal: when do ignitions turn into big fires?
F Moreira, FX Catry, F Rego, F Bacao
Landscape Ecology 25 (9), 1405-1417, 2010
What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period?
Y Zhao, F Bacao
International journal of hospitality management 91, 102683, 2020
Geo-self-organizing map (Geo-SOM) for building and exploring homogeneous regions
F Bação, V Lobo, M Painho
International Conference on Geographic Information Science, 22-37, 2004
Exploratory data analysis and clustering of multivariate spatial hydrogeological data by means of GEO3DSOM, a variant of Kohonen's Self-Organizing Map
L Peeters, F Bação, V Lobo, A Dassargues
Hydrology and Earth System Sciences 11 (4), 1309-1321, 2007
Geometric SMOTE a geometrically enhanced drop-in replacement for SMOTE
G Douzas, F Bacao
Information sciences 501, 118-135, 2019
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