Matias Valdenegro-Toro
Orcid: 0000-0001-5793-9498
According to our database1,
Matias Valdenegro-Toro
authored at least 58 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
Terrain Classification Enhanced with Uncertainty for Space Exploration Robots from Proprioceptive Data.
CoRR, 2024
Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation.
CoRR, 2024
Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models.
CoRR, 2024
CoRR, 2024
Transferring BCI models from calibration to control: Observing shifts in EEG features.
CoRR, 2024
CoRR, 2024
CoRR, 2024
2023
Uncertainty Quantification in Machine Learning for Biosignal Applications - A Review.
CoRR, 2023
CoRR, 2023
Proceedings of the Explainable Artificial Intelligence, 2023
Proceedings of the Explainable Artificial Intelligence, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the 18th International Joint Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models.
CoRR, 2022
A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation.
CoRR, 2022
Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression.
CoRR, 2022
Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
2021
CoRR, 2021
CoRR, 2021
Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study.
CoRR, 2021
CoRR, 2021
Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, 2021
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
2020
Soft Comput., 2020
Automatic Detection and Classification of Tick-borne Skin Lesions using Deep Learning.
CoRR, 2020
CoRR, 2020
Hey Human, If your Facial Emotions are Uncertain, You Should Use Bayesian Neural Networks!
CoRR, 2020
Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds.
CoRR, 2020
2019
Results from the Robocademy ITN: Autonomy, Disturbance Rejection and Perception for Advanced Marine Robotics.
CoRR, 2019
CoRR, 2019
Data augmentation with Symbolic-to-Real Image Translation GANs for Traffic Sign Recognition.
CoRR, 2019
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
Proceedings of the 2019 European Conference on Mobile Robots, 2019
2018
Modeling and Soft-fault Diagnosis of Underwater Thrusters with Recurrent Neural Networks.
CoRR, 2018
Predictive Uncertainty in Large Scale Classification using Dropout - Stochastic Gradient Hamiltonian Monte Carlo.
CoRR, 2018
2017
Best Practices in Convolutional Networks for Forward-Looking Sonar Image Recognition.
CoRR, 2017
Object classification with convolution neural network based on the time-frequency representation of their echo.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
Real-time convolutional networks for sonar image classification in low-power embedded systems.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
Proceedings of the 2017 European Conference on Mobile Robots, 2017
2016
Objectness Scoring and Detection Proposals in Forward-Looking Sonar Images with Convolutional Neural Networks.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016