Miguel Cazorla (ORCID:0000-0001-6805-3633)
Miguel Cazorla (ORCID:0000-0001-6805-3633)
Full Professor of Computer Science, University of Alicante
Verified email at - Homepage
Cited by
Cited by
Pointnet: A 3d convolutional neural network for real-time object class recognition
A Garcia-Garcia, F Gomez-Donoso, J Garcia-Rodriguez, S Orts-Escolano, ...
2016 International joint conference on neural networks (IJCNN), 1578-1584, 2016
Inteligencia artificial: modelos, técnicas y áreas de aplicación
A GALIPIENSO, M ISABEL, MA Cazorla Quevedo, O Colomina Pardo, ...
Ediciones Paraninfo, SA, 2003
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients
MDLI Vayá, JM Saborit, JA Montell, A Pertusa, A Bustos, M Cazorla, ...
arXiv preprint arXiv:2006.01174, 2020
ImageCLEF 2013: the vision, the data and the open challenges
B Caputo, H Muller, B Thomee, M Villegas, R Paredes, D Zellhofer, ...
International Conference of the Cross-Language Evaluation Forum for European …, 2013
Geometric 3D point cloud compression
V Morell, S Orts, M Cazorla, J Garcia-Rodriguez
Pattern Recognition Letters 50, 55–62, 2014
ImageCLEF 2014: Overview and analysis of the results
B Caputo, H Müller, J Martinez-Gomez, M Villegas, B Acar, N Patricia, ...
Information Access Evaluation. Multilinguality, Multimodality, and …, 2014
An augmented reality application for improving shopping experience in large retail stores
E Cruz, S Orts-Escolano, F Gomez-Donoso, C Rizo, JC Rangel, H Mora, ...
Virtual Reality 23, 281-291, 2019
Feature selection, mutual information, and the classification of high-dimensional patterns: Applications to image classification and microarray data analysis
B Bonev, F Escolano, M Cazorla
Pattern Analysis and Applications 11, 309-319, 2008
Pedestrian movement direction recognition using convolutional neural networks
A Dominguez-Sanchez, M Cazorla, S Orts-Escolano
IEEE transactions on intelligent transportation systems 18 (12), 3540-3548, 2017
Automated Agatston score computation in non-ECG gated CT scans using deep learning
C Cano-Espinosa, G González, GR Washko, M Cazorla, RSJ Estépar
Medical Imaging 2018: Image Processing 10574, 673-678, 2018
Large-scale multiview 3d hand pose dataset
F Gomez-Donoso, S Orts-Escolano, M Cazorla
Image and Vision Computing 81, 25-33, 2019
Point cloud data filtering and downsampling using growing neural gas
S Orts-Escolano, V Morell, J García-Rodríguez, M Cazorla
The 2013 international joint conference on neural networks (IJCNN), 1-8, 2013
Socially assistive robots for older adults and people with autism: An overview
E Martinez-Martin, F Escalona, M Cazorla
Electronics 9 (2), 367, 2020
Lonchanet: A sliced-based cnn architecture for real-time 3d object recognition
F Gomez-Donoso, A Garcia-Garcia, J Garcia-Rodriguez, S Orts-Escolano, ...
2017 International Joint Conference on Neural Networks (IJCNN), 412-418, 2017
Enhancing perception for the visually impaired with deep learning techniques and low-cost wearable sensors
Z Bauer, A Dominguez, E Cruz, F Gomez-Donoso, S Orts-Escolano, ...
Pattern recognition letters 137, 27-36, 2020
PHAROS—PHysical assistant RObot system
A Costa, E Martinez-Martin, M Cazorla, V Julian
Sensors 18 (8), 2633, 2018
Two Bayesian methods for junction classification
MA Cazorla, F Escolano
IEEE Transactions on Image Processing 12 (3), 317-327, 2003
Feature selection based on information theory
B Bonev
Universidad de Alicante, 2010
An semg-controlled 3d game for rehabilitation therapies: Real-time time hand gesture recognition using deep learning techniques
N Nasri, S Orts-Escolano, M Cazorla
Sensors 20 (22), 6451, 2020
Accurate and efficient 3D hand pose regression for robot hand teleoperation using a monocular RGB camera
F Gomez-Donoso, S Orts-Escolano, M Cazorla
Expert Systems with Applications 136, 327-337, 2019
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