Tales Imbiriba

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 77

Top Topics

Gaussian Process

Top Venues

IEEE Trans. Image Process.

Publications

Md Navid Akbar, Sebastian F. Ruf, Ashutosh Singh, Razieh Faghihpirayesh, Rachael Garner, Alexis Bennett, Celina Alba, Marianna La Rocca, Tales Imbiriba, Deniz Erdogmus, Dominique Duncan
Advancing post-traumatic seizure classification and biomarker identification: Information decomposition based multimodal fusion and explainable machine learning with missing neuroimaging data. Comput. Medical Imaging Graph. 115 (2024)
Michael Potter, Murat Akçakaya, Marius Necsoiu, Gunar Schirner, Deniz Erdogmus, Tales Imbiriba
Multistatic-Radar RCS-Signature Recognition of Aerial Vehicles: A Bayesian Fusion Approach. CoRR (2024)
Michael Potter, Shuo Tang, Paul Ghanem, Milica Stojanovic, Pau Closas, Murat Akçakaya, Ben Wright, Marius Necsoiu, Deniz Erdogmus, Michael Everett, Tales Imbiriba
Continuously Optimizing Radar Placement with Model Predictive Path Integrals. CoRR (2024)
Ashutosh Singh, Ricardo Augusto Borsoi, Deniz Erdogmus, Tales Imbiriba
Learning Semilinear Neural Operators : A Unified Recursive Framework For Prediction And Data Assimilation. CoRR (2024)
Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Tales Imbiriba, Eugene Tunik, Deniz Erdogmus, Mathew Yarossi, Robin Walters
Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder. Trans. Mach. Learn. Res. 2024 (2024)
Ashutosh Singh, Ricardo Augusto Borsoi, Deniz Erdogmus, Tales Imbiriba
Learning semilinear neural operators: A unified recursive framework for prediction and data assimilation. ICLR (2024)
Tales Imbiriba, Ondrej Straka, Jindrich Duník, Pau Closas
Augmented Physics-Based Machine Learning for Navigation and Tracking. IEEE Trans. Aerosp. Electron. Syst. 60 (3) (2024)
Shuo Tang, Gerald LaMountain, Tales Imbiriba, Pau Closas
On Parametric Misspecified Bayesian Cramér-Rao Bound: An Application to Linear/Gaussian Systems. ICASSP (2023)
Kyle Lockwood, Garrit Strenge, Yunus Bicer, Tales Imbiriba, Mariusz P. Furmanek, Taskin Padir, Deniz Erdogmus, Eugene Tunik, Mathew Yarossi
Gaussian Process-Based Prediction of Human Trajectories to Promote Seamless Human-Robot Handovers. RO-MAN (2023)
Peng Wu, Helena Calatrava, Tales Imbiriba, Pau Closas
Jammer classification with Federated Learning. PLANS (2023)
Helena Calatrava, Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas
On the Impact of Sampling on Deep Sequential State Estimation. ACSSC (2023)
Yunus Bicer, Niklas Smedemark-Margulies, Basak Celik, Elifnur Sunger, Ryan Orendorff, Stephanie Naufel, Tales Imbiriba, Deniz Erdogmus, Eugene Tunik, Mathew Yarossi
User Training with Error Augmentation for Electromyogram-based Gesture Classification. CoRR (2023)
Niklas Smedemark-Margulies, Basak Celik, Tales Imbiriba, Aziz Kocanaogullari, Deniz Erdogmus
Recursive Estimation of User Intent From Noninvasive Electroencephalography Using Discriminative Models. ICASSP (2023)
Helena Calatrava, Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas
On the Impact of Sampling on Deep Sequential State Estimation. CoRR (2023)
Ricardo Augusto Borsoi, Deniz Erdogmus, Tales Imbiriba
Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing. IEEE Trans. Computational Imaging 9 (2023)
Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas
Dynamical Hyperspectral Unmixing With Variational Recurrent Neural Networks. IEEE Trans. Image Process. 32 (2023)
Ricardo Augusto Borsoi, Tales Imbiriba, Deniz Erdogmus
A Deep Disentangled Approach for Interpretable Hyperspectral Unmixing. ICASSP (2023)
Nathaniel Hanson, Ahmet Demirkaya, Deniz Erdogmus, Aron Stubbins, Taskin Padir, Tales Imbiriba
A Vision for Cleaner Rivers: Harnessing Snapshot Hyperspectral Imaging to Detect Macro-Plastic Litter. CoRR (2023)
Peng Wu, Helena Calatrava, Tales Imbiriba, Pau Closas
Jammer classification with Federated Learning. CoRR (2023)
Sadjad Asghari-Esfeden, Garrit Strenge, Kyle Lockwood, Yunus Bicer, Tales Imbiriba, Mariusz P. Furmanek, Mathew Yarossi, Eugene Tunik, Taskin Padir, Deniz Erdogmus
Real-Time Object Localization for Human-Robot Handover. PETRA (2023)
Nathaniel Hanson, Ahmet Demirkaya, Deniz Erdogmus, Aron Stubbins, Taskin Padir, Tales Imbiriba
A Vision for Cleaner Rivers: Harnessing Snapshot Hyperspectral Imaging to Detect Macro-Plastic Litter. WHISPERS (2023)
Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas
Dynamical Hyperspectral Unmixing with Variational Recurrent Neural Networks. CoRR (2023)
Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Tales Imbiriba, Eugene Tunik, Deniz Erdogmus, Mathew Yarossi, Robin Walters
Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder. CoRR (2023)
Ricardo Augusto Borsoi, Deniz Erdogmus, Tales Imbiriba
Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing. CoRR (2023)
Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Stephanie Naufel, Tales Imbiriba, Eugene Tunik, Deniz Erdogmus, Mathew Yarossi
A Multi-label Classification Approach to Increase Expressivity of EMG-based Gesture Recognition. CoRR (2023)
Andrea Nardin, Tales Imbiriba, Pau Closas
Crowdsourced Jammer Localization Using APBMs: Performance Analysis Considering Observations Disruption. PLANS (2023)
Ashutosh Singh, Ashish Singh, Aria Masoomi, Tales Imbiriba, Erik G. Learned-Miller, Deniz Erdogmus
Inv-Senet: Invariant Self Expression Network for Clustering Under Biased Data. ICASSP (2023)
Andrea Nardin, Tales Imbiriba, Pau Closas
Jamming Source Localization Using Augmented Physics-Based Model. ICASSP (2023)
Bahar Azari, Hai Cheng, Nasim Soltani, Haoqing Li, Yanyu Li, Mauro Belgiovine, Tales Imbiriba, Salvatore D'Oro, Tommaso Melodia, Yanzhi Wang, Pau Closas, Kaushik R. Chowdhury, Deniz Erdogmus
Automated deep learning-based wide-band receiver. Comput. Networks 218 (2022)
Junha Park, Jiseon Moon, Taekyoon Kim, Peng Wu, Tales Imbiriba, Pau Closas, Sunwoo Kim
Federated Learning for Indoor Localization via Model Reliability With Dropout. IEEE Commun. Lett. 26 (7) (2022)
Tales Imbiriba, Ahmet Demirkaya, Jindrich Duník, Ondrej Straka, Deniz Erdogmus, Pau Closas
Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering. FUSION (2022)
Nasim Soltani, Hai Cheng, Mauro Belgiovine, Yanyu Li, Haoqing Li, Bahar Azari, Salvatore D'Oro, Tales Imbiriba, Tommaso Melodia, Pau Closas, Yanzhi Wang, Deniz Erdogmus, Kaushik R. Chowdhury
Neural Network-based OFDM Receiver for Resource Constrained IoT Devices. CoRR (2022)
Nasim Soltani, Hai Cheng, Mauro Belgiovine, Yanyu Li, Haoqing Li, Bahar Azari, Salvatore D'Oro, Tales Imbiriba, Tommaso Melodia, Pau Closas, Yanzhi Wang, Deniz Erdogmus, Kaushik R. Chowdhury
Neural Network-Based OFDM Receiver for Resource Constrained IoT Devices. IEEE Internet Things Mag. 5 (3) (2022)
Niklas Smedemark-Margulies, Basak Celik, Tales Imbiriba, Aziz Kocanaogullari, Deniz Erdogmus
Recursive Estimation of User Intent from Noninvasive Electroencephalography using Discriminative Models. CoRR (2022)
Haoqing Li, Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas, José C. M. Bermudez, Deniz Erdogmus
Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Peng Wu, Tales Imbiriba, Victor Elvira, Pau Closas
Bayesian data fusion with shared priors. CoRR (2022)
Kyle Lockwood, Yunus Bicer, Sadjad Asghari-Esfeden, Tianjie Zhu, Mariusz P. Furmanek, Madhur Mangalam, Garrit Strenge, Tales Imbiriba, Mathew Yarossi, Taskin Padir, Deniz Erdogmus, Eugene Tunik
Leveraging Submovements for Prediction and Trajectory Planning for Human-Robot Handover. PETRA (2022)
Tales Imbiriba, Ahmet Demirkaya, Jindrich Duník, Ondrej Straka, Deniz Erdogmus, Pau Closas
Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering. CoRR (2022)
Ashutosh Singh, Ashish Singh, Aria Masoomi, Tales Imbiriba, Erik G. Learned-Miller, Deniz Erdogmus
Inv-SENnet: Invariant Self Expression Network for clustering under biased data. CoRR (2022)
Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas, José Carlos M. Bermudez, Cédric Richard
Kalman Filtering and Expectation Maximization for Multitemporal Spectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Peng Wu, Tales Imbiriba, Junha Park, Sunwoo Kim, Pau Closas
Personalized Federated Learning over non-IID Data for Indoor Localization. SPAWC (2021)
Haoqing Li, Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas, José Carlos Moreira Bermudez, Deniz Erdogmus
Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing. CoRR (2021)
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis. IEEE Geosci. Remote. Sens. Lett. 18 (10) (2021)
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
Fast Unmixing and Change Detection in Multitemporal Hyperspectral Data. IEEE Trans. Computational Imaging 7 (2021)
Ahmet Demirkaya, Tales Imbiriba, Kyle Lockwood, Sumientra Rampersad, Elie Alhajjar, Giovanna Guidoboni, Zachary Danziger, Deniz Erdogmus
Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models. CoRR (2021)
Peng Wu, Tales Imbiriba, Junha Park, Sunwoo Kim, Pau Closas
Personalized Federated Learning over non-IID Data for Indoor Localization. CoRR (2021)
Ahmet Demirkaya, Tales Imbiriba, Kyle Lockwood, Sumientra Rampersad, Elie Alhajjar, Giovanna Guidoboni, Zachary Danziger, Deniz Erdogmus
Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models. EMBC (2021)
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
A Blind Multiscale Spatial Regularization Framework for Kernel-Based Spectral Unmixing. IEEE Trans. Image Process. 29 (2020)
Tales Imbiriba, Pau Closas
Enhancing Particle Filtering using Gaussian Processes. FUSION (2020)
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez
A Data Dependent Multiscale Model for Hyperspectral Unmixing With Spectral Variability. IEEE Trans. Image Process. 29 (2020)
Tales Imbiriba, Ricardo Augusto Borsoi, José Carlos Moreira Bermudez
Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability. IEEE Trans. Geosci. Remote. Sens. 58 (3) (2020)
Razieh Faghihpirayesh, Tales Imbiriba, Mathew Yarossi, Eugene Tunik, Dana H. Brooks, Deniz Erdogmus
Motor cortex mapping using active gaussian processes. PETRA (2020)
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez
Deep Generative Endmember Modeling: An Application to Unsupervised Spectral Unmixing. IEEE Trans. Computational Imaging 6 (2020)
Tales Imbiriba, Diana Catalina Cumpanasoiu, James Heathers, Stratis Ioannidis, Deniz Erdogmus, Matthew S. Goodwin
Biosensor prediction of aggression in youth with autism using kernel-based methods. PETRA (2020)
Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas, José Carlos Moreira Bermudez, Cédric Richard
Kalman Filtering and Expectation Maximization for Multitemporal Spectral Unmixing. CoRR (2020)
Tales Imbiriba, Peng Wu, Gerald LaMountain, Deniz Erdogmus, Pau Closas
Recursive Gaussian Processes and Fingerprinting for Indoor Navigation. PLANS (2020)
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez
Super-Resolution for Hyperspectral and Multispectral Image Fusion Accounting for Seasonal Spectral Variability. IEEE Trans. Image Process. 29 (2020)
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis. CoRR (2019)
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 16 (4) (2019)
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing. CoRR (2019)
Tales Imbiriba, Gerald LaMountain, Peng Wu, Deniz Erdogmus, Pau Closas
Change Detection and Gaussian Process Inference in Piecewise Stationary Environments Under Noisy Inputs. CAMSAP (2019)
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez
Improved Hyperspectral Unmixing With Endmember Variability Parametrized Using an Interpolated Scaling Tensor. CoRR (2019)
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez
Improved Hyperspectral Unmixing with Endmember Variability Parametrized Using an Interpolated Scaling Tensor. ICASSP (2019)
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez
Deep Generative Endmember Modeling: An Application to Unsupervised Spectral Unmixing. CoRR (2019)
Tales Imbiriba, Ricardo Augusto Borsoi, José Carlos Moreira Bermudez
A Low-Rank Tensor Regularization Strategy for Hyperspectral Unmixing. SSP (2018)
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez
Super-Resolution for Hyperspectral and Multispectral Image Fusion Accounting for Seasonal Spectral Variability. CoRR (2018)
Tales Imbiriba, José Carlos M. Bermudez, Jean-Yves Tourneret, Neil J. Bershad
A New Decision-Theory-Based Framework for Echo Canceler Control. IEEE Trans. Signal Process. 66 (16) (2018)
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez
A Data Dependent Multiscale Model for Hyperspectral Unmixing With Spectral Variability. CoRR (2018)
Tales Imbiriba, Ricardo Augusto Borsoi, José Carlos Moreira Bermudez
Generalized Linear Mixing Model Accounting for Endmember Variability. ICASSP (2018)
Tales Imbiriba, Ricardo Augusto Borsoi, José Carlos Moreira Bermudez
Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability. CoRR (2018)
Tales Imbiriba, Ricardo Augusto Borsoi, José Carlos Moreira Bermudez
A Low-rank Tensor Regularization Strategy for Hyperspectral Unmixing. CoRR (2018)
Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
Band Selection for Nonlinear Unmixing of Hyperspectral Images as a Maximal Clique Problem. IEEE Trans. Image Process. 26 (5) (2017)
Tales Imbiriba, Ricardo Augusto Borsoi, José Carlos Moreira Bermudez
Generalized linear mixing model accounting for endmember variability. CoRR (2017)
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
Tech Report: A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing. CoRR (2017)
Tales Imbiriba, José Carlos M. Bermudez, Jean-Yves Tourneret, Neil J. Bershad
Technical Report: A New Decision-Theory-Based Framework for Echo Canceler Control. CoRR (2017)
Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard, Jean-Yves Tourneret
Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images. IEEE Trans. Image Process. 25 (3) (2016)
Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
Technical Report: Band selection for nonlinear unmixing of hyperspectral images as a maximal click problem. CoRR (2016)
Tales Imbiriba, José Carlos M. Bermudez, Cédric Richard, Jean-Yves Tourneret
Band selection in RKHS for fast nonlinear unmixing of hyperspectral images. EUSIPCO (2015)
Tales Imbiriba, José C. M. Bermudez, Cédric Richard, Jean-Yves Tourneret
Band selection in RKHS for fast nonlinear unmixing of hyperspectral images. CoRR (2015)
Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard, Jean-Yves Tourneret
Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images. CoRR (2015)
Tales Imbiriba, José C. M. Bermudez, Jean-Yves Tourneret, Cédric Richard
Detection of nonlinear mixtures using Gaussian processes: Application to hyperspectral imaging. ICASSP (2014)
José Borges, Igor Couto, Fabíola Oliveira, Tales Imbiriba, Aldebaro Klautau
GASpeech: A Framework for Automatically Estimating Input Parameters of Klatt's Speech Synthesizer. SBRN (2008)