David Masip Rodo
David Masip Rodo
Verified email at uoc.edu
TitleCited byYear
On the use of Monte Carlo simulation, cache and splitting techniques to improve the Clarke and Wright savings heuristics
AA Juan, J Faulín, J Jorba, D Riera, D Masip, B Barrios
Journal of the Operational Research Society 62 (6), 1085-1097, 2011
1262011
Inteligencia artificial avanzada
R Benítez, G Escudero, S Kanaan, DM Rodó
Editorial UOC, 2014
682014
Automatic prediction of facial trait judgments: Appearance vs. structural models
M Rojas, D Masip, A Todorov, J Vitria
PloS one 6 (8), 2011
412011
Combining statistical learning with metaheuristics for the multi-depot vehicle routing problem with market segmentation
L Calvet, A Ferrer, MI Gomes, AA Juan, D Masip
Computers & Industrial Engineering 94, 93-104, 2016
402016
Geometry-based ensembles: toward a structural characterization of the classification boundary
O Pujol, D Masip
IEEE transactions on pattern analysis and machine intelligence 31 (6), 1140-1146, 2009
332009
Learnheuristics: hybridizing metaheuristics with machine learning for optimization with dynamic inputs
L Calvet, J de Armas, D Masip, AA Juan
Open Mathematics 15 (1), 261-280, 2017
322017
Preferred spatial frequencies for human face processing are associated with optimal class discrimination in the machine
MS Keil, A Lapedriza, D Masip, J Vitria
PloS one 3 (7), 2008
272008
Boosted online learning for face recognition
D Masip, A Lapedriza, J Vitrià
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2008
262008
Shared feature extraction for nearest neighbor face recognition
D Masip, J Vitria
IEEE transactions on neural networks 19 (4), 586-595, 2008
262008
Boosted discriminant projections for nearest neighbor classification
D Masip, J Vitrià
Pattern Recognition 39 (2), 164-170, 2006
262006
An ensemble-based method for linear feature extraction for two-class problems
D Masip, LI Kuncheva, J Vitria
Pattern Analysis and Applications 8 (3), 227-237, 2005
252005
Are external face features useful for automatic face classification?
A Lapedriza, D Masip, J Vitria
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
222005
Supervised committee of convolutional neural networks in automated facial expression analysis
G Pons, D Masip
IEEE Transactions on Affective Computing 9 (3), 343-350, 2017
202017
Online error correcting output codes
S Escalera, D Masip, E Puertas, P Radeva, O Pujol
Pattern Recognition Letters 32 (3), 458-467, 2011
182011
Interpreting cnn models for apparent personality trait regression
C Ventura, D Masip, A Lapedriza
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
162017
Emotion recognition from mid-level features
D Sanchez-Mendoza, D Masip, A Lapedriza
Pattern Recognition Letters 67, 66-74, 2015
162015
Student projects empowering mobile learning in higher education
À Rius, D Masip, R Clarisó
International Journal of Educational Technology in Higher Education 11 (1 …, 2014
152014
Multi-task, multi-label and multi-domain learning with residual convolutional networks for emotion recognition
G Pons, D Masip
arXiv preprint arXiv:1802.06664, 2018
122018
Capturing and analyzing student behavior in a virtual learning environment: A case study on usage of library resources
D Masip, J Minguillón, E Mor
Handbook of educational data mining, 339-351, 2011
122011
A sparse Bayesian approach for joint feature selection and classifier learning
À Lapedriza, S Seguí, D Masip, J Vitrià
Pattern Analysis and Applications 11 (3-4), 299-308, 2008
122008
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Articles 1–20