David Masip
Orcid: 0000-0001-7898-1847
According to our database1,
David Masip
authored at least 59 papers
between 2003 and 2024.
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Bibliography
2024
Spatial-aware Transformer-GRU Framework for Enhanced Glaucoma Diagnosis from 3D OCT Imaging.
CoRR, 2024
BEE-NET: A deep neural network to identify in-the-wild Bodily Expression of Emotions.
CoRR, 2024
2023
A Deep Multimodal Learning Approach to Perceive Basic Needs of Humans From Instagram Profile.
IEEE Trans. Affect. Comput., 2023
Explanation Shift: Investigating Interactions between Models and Shifting Data Distributions.
CoRR, 2023
2022
Multitask, Multilabel, and Multidomain Learning With Convolutional Networks for Emotion Recognition.
IEEE Trans. Cybern., 2022
IEEE J. Sel. Top. Signal Process., 2022
ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural Networks.
CoRR, 2022
Incorporating Reinforcement Learning for Quality-aware Sample Selection in Deep Architecture Training.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022
2021
CoRR, 2021
A Deep Convolutional Neural Network for Classification of Aedes Albopictus Mosquitoes.
IEEE Access, 2021
Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2021
2020
A Novel Method for Reconstructing CT Images in GATE/GEANT4 with Application in Medical Imaging: A Complexity Analysis Approach.
J. Inf. Process., 2020
Limbs Detection and Tracking of Head-Fixed Mice for Behavioral Phenotyping Using Motion Tubes and Deep Learning.
IEEE Access, 2020
2019
Computer Methods for Automatic Locomotion and Gesture Tracking in Mice and Small Animals for Neuroscience Applications: A Survey.
Sensors, 2019
Locomotion and gesture tracking in mice and small animals for neurosceince applications: A survey.
CoRR, 2019
2018
Supervised Committee of Convolutional Neural Networks in Automated Facial Expression Analysis.
IEEE Trans. Affect. Comput., 2018
Multi-task, multi-label and multi-domain learning with residual convolutional networks for emotion recognition.
CoRR, 2018
2017
Winner takes all hashing for speeding up the training of neural networks in large class problems.
Pattern Recognit. Lett., 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017
2016
Combining statistical learning with metaheuristics for the Multi-Depot Vehicle Routing Problem with market segmentation.
Comput. Ind. Eng., 2016
Automated Identification and Tracking of Nephrops norvegicus (L.) Using Infrared and Monochromatic Blue Light.
Proceedings of the Artificial Intelligence Research and Development, 2016
2015
Proceedings of the Artificial Intelligence Research and Development, 2015
2014
Proceedings of the Artificial Intelligence Research and Development, 2014
2013
Proceedings of the Modeling Decisions for Artificial Intelligence, 2013
Proceedings of the Seventh International Conference on Complex, 2013
2012
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012
2011
On the use of Monte Carlo simulation, cache and splitting techniques to improve the Clarke and Wright savings heuristics.
J. Oper. Res. Soc., 2011
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011
Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011
2010
Enabling Automatic Just-in-time Evaluation of In-class Discussions in On-line Collaborative Learning Practices.
J. Digit. Inf. Manag., 2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010
2009
IEEE Trans. Syst. Man Cybern. Part B, 2009
Geometry-Based Ensembles: Toward a Structural Characterization of the Classification Boundary.
IEEE Trans. Pattern Anal. Mach. Intell., 2009
A Simulation-based Methodology to Assist Decision-makers in Real Vehicle Routing Problems.
Proceedings of the ICEIS 2009, 2009
2008
Feature extraction in face recognition: on the use of internal and external features.
VDM Verlag Dr. Müller, Saarbrücken, Germany, ISBN: 978-3-8364-7295-1, 2008
IEEE Trans. Neural Networks, 2008
Pattern Anal. Appl., 2008
Multitask Learning - An Application to Incremental Face Recognition.
Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008
Subject Recognition Using a New Approach for Feature Selection.
Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008
2007
Face verification by sharing knowledge from different subjects.
Proceedings of the VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 8-11, 2007, 2007
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007
Classification of biomedical high-resolution micro-CT images for direct volume rendering.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007
2006
Pattern Recognit., 2006
Proceedings of the Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2006), 2006
2005
PhD thesis, 2005
Pattern Anal. Appl., 2005
Feature extraction for nearest neighbor classification: Application to gender recognition.
Int. J. Intell. Syst., 2005
EURASIP J. Adv. Signal Process., 2005
Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005
Experimental Study of the Usefulness of External Face Features for Face Classification.
Proceedings of the Artificial Intelligence Research and Development, 2005
2003
An Experimental Comparison of Dimensionality Reduction for Face Verification Methods.
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003