Edmanuel Cruz (ORCID:0000-0002-7988-3293)
Edmanuel Cruz (ORCID:0000-0002-7988-3293)
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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 (3), 281-291, 2019
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
EVA: EVAluating at-home rehabilitation exercises using augmented reality and low-cost sensors
F Escalona, E Martinez-Martin, E Cruz, M Cazorla, F Gomez-Donoso
Virtual Reality 24 (4), 567-581, 2020
UASOL, a large-scale high-resolution outdoor stereo dataset
Z Bauer, F Gomez-Donoso, E Cruz, S Orts-Escolano, M Cazorla
Scientific data 6 (1), 1-14, 2019
Geoffrey: An automated schedule system on a social robot for the intellectually challenged
E Cruz, F Escalona, Z Bauer, M Cazorla, J Garcia-Rodriguez, ...
Computational Intelligence and Neuroscience 2018, 2018
Finding the place: how to train and use convolutional neural networks for a dynamically learning robot
E Cruz, JC Rangel, F Gomez-Donoso, Z Bauer, M Cazorla, ...
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
Improving the 3D perception of the pepper robot using depth prediction from monocular frames
Z Bauer, F Escalona, E Cruz, M Cazorla, F Gomez-Donoso
Workshop of Physical Agents, 132-146, 2018
Refining the fusion of pepper robot and estimated depth maps method for improved 3d perception
Z Bauer, F Escalona, E Cruz, M Cazorla, F Gomez-Donoso
IEEE Access 7, 185076-185085, 2019
Using a 3d cnn for rejecting false positives on pedestrian detection
F Gomez-Donoso, E Cruz, M Cazorla, S Worrall, E Nebot
2020 International Joint Conference on Neural Networks (IJCNN), 1-6, 2020
Semantic localization of a robot in a real home
E Cruz, Z Bauer, JC Rangel, M Cazorla, F Gomez-Donoso
Workshop of Physical Agents, 3-15, 2018
How to add new knowledge to already trained deep learning models applied to semantic localization
E Cruz, JC Rangel, F Gomez-Donoso, M Cazorla
Applied Intelligence 50 (1), 14-28, 2020
Técnicas de machine learning aplicadas a la evaluación del rendimiento ya la predicción de la deserción de estudiantes universitarios, una revisión.
E Cruz, M González, JC Rangel
Prisma Tecnológico 13 (1), 77-87, 2022
Automatic OSPF Topology map generation using information of the OSPF database
M Navarro, JC Rangel, E Cruz
KnE Engineering, 853-861, 2018
Robot semantic localization through CNN descriptors
E Cruz, JC Rangel, M Cazorla
Iberian Robotics conference, 567-578, 2017
Machine Learning Techniques Applied to Evaluate the Performance and Dropout Prediction of University Student's, A Review.
E Cruz, M González, JC Rangel
Universidad Tecnológica de Panamá, 2022
Automatic Understanding and Mapping of Regions in Cities Using Google Street View Images
JC Rangel, E Cruz, M Cazorla
Applied Sciences 12 (6), 2971, 2022
Weakly-supervised Road Condition Classification Using Automatically Generated Labels
W Zhou, E Cruz, S Worrall, F Gomez-Donoso, M Cazorla, E Nebot
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
Robotics semantic localization using deep learning techniques
E Cruz
Universitat d'Alacant-Universidad de Alicante, 2020
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