Matias Valdenegro-Toro
Matias Valdenegro-Toro
Assistant Professor of Machine Learning, Bernoulli Institute, University of Groningen
Verified email at - Homepage
Cited by
Cited by
Real-time Convolutional Neural Networks for Emotion and Gender Classification
O Arriaga, M Valdenegro-Toro, P Plöger
arXiv preprint arXiv:1710.07557, 2017
Submerged marine debris detection with autonomous underwater vehicles
M Valdenegro-Toro
2016 International Conference on Robotics and Automation for Humanitarian …, 2016
Object recognition in forward-looking sonar images with Convolutional Neural Networks
M Valdenegro-Toro
OCEANS 2016 MTS/IEEE Monterey, 1-6, 2016
A deeper look into aleatoric and epistemic uncertainty disentanglement
M Valdenegro-Toro, DS Mori
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2022
End-to-end object detection and recognition in forward-looking sonar images with convolutional neural networks
M Valdenegro-Toro
2016 IEEE/OES Autonomous Underwater Vehicles (AUV), 144-150, 2016
Optimization of convolutional neural network hyperparameters for automatic classification of adult mosquitoes
D Motta, AÁB Santos, BAS Machado, OGV Ribeiro-Filho, LOA Camargo, ...
PLOS ONE 15 (7), e0234959, 2020
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification
M Valdenegro-Toro
arXiv preprint arXiv:1910.08168, 2019
The Marine Debris Dataset for Forward-Looking Sonar Semantic Segmentation
D Singh, M Valdenegro-Toro
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Modeling and Soft-fault Diagnosis of Underwater Thrusters with Recurrent Neural Networks
S Nascimento, M Valdenegro-Toro
IFAC-PapersOnLine 51 (29), 80-85, 2018
Deep Neural Networks for Marine Debris Detection in Sonar Images
M Valdenegro-Toro
arXiv preprint arXiv:1905.05241, 2019
Best Practices in Convolutional Networks for Forward-Looking Sonar Image Recognition
M Valdenegro-Toro
arXiv preprint arXiv:1709.02601, 2017
Objectness Scoring and Detection Proposals in Forward-Looking Sonar Images with Convolutional Neural Networks
M Valdenegro-Toro
IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 209-219, 2016
Improving sonar image patch matching via deep learning
M Valdenegro-Toro
2017 European Conference on Mobile Robots (ECMR), 1-6, 2017
Perception for Autonomous Systems (PAZ)
O Arriaga, M Valdenegro-Toro, M Muthuraja, S Devaramani, F Kirchner
arXiv preprint arXiv:2010.14541, 2020
Object classification with convolution neural network based on the time-frequency representation of their echo
M Dmitrieva, M Valdenegro-Toro, K Brown, G Heald, D Lane
2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017
I Find Your Lack of Uncertainty in Computer Vision Disturbing
M Valdenegro-Toro
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Improving predictive uncertainty estimation using Dropout–Hamiltonian Monte Carlo
S Hernández, D Vergara, M Valdenegro-Toro, F Jorquera
Soft Computing 24 (6), 4307-4322, 2020
Learning Objectness from Sonar Images for Class-Independent Object Detection
M Valdenegro-Toro
2019 European Conference on Mobile Robots (ECMR), 1-6, 2019
Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study
M Patil, B Wehbe, M Valdenegro-Toro
OCEANS 2021: San Diego–Porto, 1-7, 2021
Real-time convolutional networks for sonar image classification in low-power embedded systems
M Valdenegro-Toro
arXiv preprint arXiv:1709.02153, 2017
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