Tales Imbiriba

Orcid: 0000-0002-2626-2039

According to our database1, Tales Imbiriba authored at least 54 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multistatic-Radar RCS-Signature Recognition of Aerial Vehicles: A Bayesian Fusion Approach.
CoRR, 2024

Learning Semilinear Neural Operators : A Unified Recursive Framework For Prediction And Data Assimilation.
CoRR, 2024

2023
Dynamical Hyperspectral Unmixing With Variational Recurrent Neural Networks.
IEEE Trans. Image Process., 2023

Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing.
IEEE Trans. Computational Imaging, 2023

Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder.
CoRR, 2023

A Multi-label Classification Approach to Increase Expressivity of EMG-based Gesture Recognition.
CoRR, 2023

User Training with Error Augmentation for Electromyogram-based Gesture Classification.
CoRR, 2023

A Vision for Cleaner Rivers: Harnessing Snapshot Hyperspectral Imaging to Detect Macro-Plastic Litter.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

Gaussian Process-Based Prediction of Human Trajectories to Promote Seamless Human-Robot Handovers.
Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

Jammer classification with Federated Learning.
Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2023

Crowdsourced Jammer Localization Using APBMs: Performance Analysis Considering Observations Disruption.
Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2023

Real-Time Object Localization for Human-Robot Handover.
Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 2023

On Parametric Misspecified Bayesian Cramér-Rao Bound: An Application to Linear/Gaussian Systems.
Proceedings of the IEEE International Conference on Acoustics, 2023

Recursive Estimation of User Intent From Noninvasive Electroencephalography Using Discriminative Models.
Proceedings of the IEEE International Conference on Acoustics, 2023

Inv-Senet: Invariant Self Expression Network for Clustering Under Biased Data.
Proceedings of the IEEE International Conference on Acoustics, 2023

Jamming Source Localization Using Augmented Physics-Based Model.
Proceedings of the IEEE International Conference on Acoustics, 2023

A Deep Disentangled Approach for Interpretable Hyperspectral Unmixing.
Proceedings of the IEEE International Conference on Acoustics, 2023

On the Impact of Sampling on Deep Sequential State Estimation.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing.
IEEE Geosci. Remote. Sens. Lett., 2022

Kalman Filtering and Expectation Maximization for Multitemporal Spectral Unmixing.
IEEE Geosci. Remote. Sens. Lett., 2022

Neural Network-Based OFDM Receiver for Resource Constrained IoT Devices.
IEEE Internet Things Mag., 2022

Federated Learning for Indoor Localization via Model Reliability With Dropout.
IEEE Commun. Lett., 2022

Bayesian data fusion with shared priors.
CoRR, 2022

Inv-SENnet: Invariant Self Expression Network for clustering under biased data.
CoRR, 2022

Automated deep learning-based wide-band receiver.
Comput. Networks, 2022

Leveraging Submovements for Prediction and Trajectory Planning for Human-Robot Handover.
Proceedings of the PETRA '22: The 15th International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, 29 June 2022, 2022

Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering.
Proceedings of the 25th International Conference on Information Fusion, 2022

2021
Fast Unmixing and Change Detection in Multitemporal Hyperspectral Data.
IEEE Trans. Computational Imaging, 2021

Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis.
IEEE Geosci. Remote. Sens. Lett., 2021

Personalized Federated Learning over non-IID Data for Indoor Localization.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
A Blind Multiscale Spatial Regularization Framework for Kernel-Based Spectral Unmixing.
IEEE Trans. Image Process., 2020

A Data Dependent Multiscale Model for Hyperspectral Unmixing With Spectral Variability.
IEEE Trans. Image Process., 2020

Super-Resolution for Hyperspectral and Multispectral Image Fusion Accounting for Seasonal Spectral Variability.
IEEE Trans. Image Process., 2020

Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability.
IEEE Trans. Geosci. Remote. Sens., 2020

Deep Generative Endmember Modeling: An Application to Unsupervised Spectral Unmixing.
IEEE Trans. Computational Imaging, 2020

Recursive Gaussian Processes and Fingerprinting for Indoor Navigation.
Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2020

Biosensor prediction of aggression in youth with autism using kernel-based methods.
Proceedings of the PETRA '20: The 13th PErvasive Technologies Related to Assistive Environments Conference, Corfu, Greece, June 30, 2020

Motor cortex mapping using active gaussian processes.
Proceedings of the PETRA '20: The 13th PErvasive Technologies Related to Assistive Environments Conference, Corfu, Greece, June 30, 2020

Enhancing Particle Filtering using Gaussian Processes.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

2019
A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing.
IEEE Geosci. Remote. Sens. Lett., 2019

Improved Hyperspectral Unmixing with Endmember Variability Parametrized Using an Interpolated Scaling Tensor.
Proceedings of the IEEE International Conference on Acoustics, 2019

Change Detection and Gaussian Process Inference in Piecewise Stationary Environments Under Noisy Inputs.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018
A New Decision-Theory-Based Framework for Echo Canceler Control.
IEEE Trans. Signal Process., 2018

A Low-Rank Tensor Regularization Strategy for Hyperspectral Unmixing.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Generalized Linear Mixing Model Accounting for Endmember Variability.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Band Selection for Nonlinear Unmixing of Hyperspectral Images as a Maximal Clique Problem.
IEEE Trans. Image Process., 2017

Tech Report: A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing.
CoRR, 2017

Technical Report: A New Decision-Theory-Based Framework for Echo Canceler Control.
CoRR, 2017

2016
Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images.
IEEE Trans. Image Process., 2016

Technical Report: Band selection for nonlinear unmixing of hyperspectral images as a maximal click problem.
CoRR, 2016

2015
Band selection in RKHS for fast nonlinear unmixing of hyperspectral images.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Detection of nonlinear mixtures using Gaussian processes: Application to hyperspectral imaging.
Proceedings of the IEEE International Conference on Acoustics, 2014

2008
GASpeech: A Framework for Automatically Estimating Input Parameters of Klatt's Speech Synthesizer.
Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008


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