Damian Campo
Orcid: 0000-0003-3720-9759
According to our database1,
Damian Campo
authored at least 26 papers
between 2015 and 2022.
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Bibliography
2022
Multilevel Anomaly Detection Through Variational Autoencoders and Bayesian Models for Self-Aware Embodied Agents.
IEEE Trans. Multim., 2022
Modeling Perception in Autonomous Vehicles via 3D Convolutional Representations on LiDAR.
IEEE Trans. Intell. Transp. Syst., 2022
2021
Learning Self-Awareness for Autonomous Vehicles: Exploring Multisensory Incremental Models.
IEEE Trans. Intell. Transp. Syst., 2021
Data-driven transition matrix estimation in probabilistic learning models for autonomous driving.
Signal Process., 2021
2020
Learning Probabilistic Awareness Models for Detecting Abnormalities in Vehicle Motions.
IEEE Trans. Intell. Transp. Syst., 2020
Unsupervised Anomaly Detection Using Intelligent and Heterogeneous Autonomous Systems: Highlights From the 2020 IEEE Signal Processing Cup Student Competition [SP Competitions].
IEEE Signal Process. Mag., 2020
Multisensorial Generative and Descriptive Self-Awareness Models for Autonomous Systems.
Proc. IEEE, 2020
Optimization of Probabilistic Switching Models Based on a Two-Step Clustering Approach.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2020
Continual Learning Of Predictive Models In Video Sequences Via Variational Autoencoders.
Proceedings of the IEEE International Conference on Image Processing, 2020
Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020
2019
Multiresolution analysis (discrete wavelet transform) through Daubechies family for emotion recognition in speech.
CoRR, 2019
Proceedings of the 5th IEEE World Forum on Internet of Things, 2019
Prediction of Multi-target Dynamics Using Discrete Descriptors: an Interactive Approach.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019
2018
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Unsupervised Trajectory Modeling Based on Discrete Descriptors for Classifying Moving Objects in Video Sequences.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Learning Multi-Modal Self-Awareness Models for Autonomous Vehicles from Human Driving.
Proceedings of the 21st International Conference on Information Fusion, 2018
Proceedings of the 21st International Conference on Information Fusion, 2018
2017
Static force field representation of environments based on agents' nonlinear motions.
EURASIP J. Adv. Signal Process., 2017
Jammer detection algorithm for wide-band radios using spectral correlation and neural networks.
Proceedings of the 13th International Wireless Communications and Mobile Computing Conference, 2017
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017
Modeling and classification of trajectories based on a Gaussian process decomposition into discrete components.
Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017
2016
Incremental learning of environment interactive structures from trajectories of individuals.
Proceedings of the 19th International Conference on Information Fusion, 2016
2015
Online pedestrian group walking event detection using spectral analysis of motion similarity graph.
Proceedings of the 12th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2015