Tales Imbiriba

108 papers A* 3B 1C 3Misc 9Journal 75Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Bayesian Framework for Clustered Federated Learning. IEEE Trans. Pattern Anal. Mach. Intell. Peng Wu, Tales Imbiriba, Pau Closas
2025	J	`jnl`	A Hybrid ODE-NN Framework for Modeling Incomplete Physiological Systems. IEEE Trans. Biomed. Eng. Ahmet Demirkaya, Kyle Lockwood, Georgios Stratis, Tales Imbiriba, Iulian Ilies, Sumientra Rampersad, Elie Alhajjar, Giovanna Guidoboni, Zachary C. Danziger, Deniz Erdogmus
2025	J	`jnl`	Active Jammer Localization via Acquisition-Aware Path Planning. CoRR Luis González-Gudiño, Mariona Jaramillo-Civill, Pau Closas, Tales Imbiriba
2025	J	`jnl`	Artificial Intelligence-Aided Kalman Filters: AI-Augmented Designs for Kalman-Type Algorithms. IEEE Signal Process. Mag. Nir Shlezinger, Guy Revach, Anubhab Ghosh, Saikat Chatterjee, Shuo Tang, Tales Imbiriba, Jindrich Duník, Ondrej Straka, Pau Closas, Yonina C. Eldar
2025	J	`jnl`	Bayesian Jammer Localization with a Hybrid CNN and Path-Loss Mixture of Experts. CoRR Mariona Jaramillo-Civill, Luis González-Gudiño, Tales Imbiriba, Pau Closas
2025	J	`jnl`	Continuously Optimizing Radar Placement With Model-Predictive Path Integrals. IEEE Trans. Aerosp. Electron. Syst. Michael Potter, Shuo Tang, Paul Ghanem, Milica Stojanovic, Pau Closas, Murat Akçakaya, Ben Wright, Marius Necsoiu, Deniz Erdogmus, Michael Everett, Tales Imbiriba
2025	J	`jnl`	Dependency-aware Maximum Likelihood Estimation for Active Learning. CoRR Beyza Kalkanli, Tales Imbiriba, Stratis Ioannidis, Deniz Erdogmus, Jennifer G. Dy
2025	J	`jnl`	Dependency-aware Maximum Likelihood Estimation for Active Learning. Trans. Mach. Learn. Res. Beyza Kalkanli, Tales Imbiriba, Stratis Ioannidis, Deniz Erdogmus, Jennifer G. Dy
2025	C	`conf`	Interpretable Augmented Physics-Based Model for Estimation and Tracking. FUSION Ondrej Straka, Jindrich Duník, Pau Closas, Tales Imbiriba
2025	J	`jnl`	Interpretable Augmented Physics-Based Model for Estimation and Tracking. CoRR Ondrej Straka, Jindrich Duník, Pau Closas, Tales Imbiriba
2025	—	`conf`	Jammer Source Localization with Federated Learning. PLANS Mariona Jaramillo-Civill, Peng Wu, Andrea Nardin, Tales Imbiriba, Pau Closas
2025	A*	`conf`	Learning Physics Informed Neural ODEs with Partial Measurements. AAAI Paul Ghanem, Ahmet Demirkaya, Tales Imbiriba, Alireza Ramezani, Zachary Danziger, Deniz Erdogmus
2025	A*	`conf`	MarkovType: A Markov Decision Process Strategy for Non-Invasive Brain-Computer Interfaces Typing Systems. AAAI Elifnur Sunger, Yunus Bicer, Deniz Erdogmus, Tales Imbiriba
2025	J	`jnl`	Multistatic-Radar RCS-Signature Recognition of Aerial Vehicles: A Bayesian Fusion Approach. IEEE Trans. Aerosp. Electron. Syst. Michael Potter, Murat Akçakaya, Marius Necsoiu, Gunar Schirner, Deniz Erdogmus, Tales Imbiriba
2025	J	`jnl`	Random Finite Set-Based Mitigation of Radar Range Deception Jamming for Single-Target Tracking. IEEE Trans. Aerosp. Electron. Syst. Helena Calatrava, Aanjhan Ranganathan, Tales Imbiriba, Gunar Schirner, Murat Akçakaya, Pau Closas
2025	J	`jnl`	Recursive Deep Inverse Reinforcement Learning. CoRR Paul Ghanem, Michael Potter, Owen Howell, Pau Closas, Alireza Ramezani, Deniz Erdogmus, Tales Imbiriba
2025	J	`jnl`	SSplain: Sparse and Smooth Explainer for Retinopathy of Prematurity Classification. CoRR Elifnur Sunger, Tales Imbiriba, John Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Jennifer G. Dy
2024	J	`jnl`	A Bayesian Framework for Clustered Federated Learning. CoRR Peng Wu, Tales Imbiriba, Pau Closas
2024	—	`conf`	A Variational Approach for Robust Online Fusion of Multiresolution Multispectral Images. EUSIPCO Haoqing Li, Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas
2024	J	`jnl`	AI-Aided Kalman Filters. CoRR Nir Shlezinger, Guy Revach, Anubhab Ghosh, Saikat Chatterjee, Shuo Tang, Tales Imbiriba, Jindrich Duník, Ondrej Straka, Pau Closas, Yonina C. Eldar
2024	J	`jnl`	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. 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
2024	J	`jnl`	Augmented Physics-Based Machine Learning for Navigation and Tracking. IEEE Trans. Aerosp. Electron. Syst. Tales Imbiriba, Ondrej Straka, Jindrich Duník, Pau Closas
2024	J	`jnl`	Augmented Physics-Based Models for High-Order Markov Filtering. Sensors Shuo Tang, Tales Imbiriba, Jindrich Duník, Ondrej Straka, Pau Closas
2024	J	`jnl`	Bayesian Data Fusion With Shared Priors. IEEE Trans. Signal Process. Peng Wu, Tales Imbiriba, Víctor Elvira, Pau Closas
2024	J	`jnl`	Continuously Optimizing Radar Placement with Model Predictive Path Integrals. CoRR Michael Potter, Shuo Tang, Paul Ghanem, Milica Stojanovic, Pau Closas, Murat Akçakaya, Ben Wright, Marius Necsoiu, Deniz Erdogmus, Michael Everett, Tales Imbiriba
2024	J	`jnl`	Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder. Trans. Mach. Learn. Res. Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Tales Imbiriba, Eugene Tunik, Deniz Erdogmus, Mathew Yarossi, Robin Walters
2024	J	`jnl`	KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operators. CoRR Ashutosh Singh, Ashish Singh, Tales Imbiriba, Deniz Erdogmus, Ricardo Augusto Borsoi
2024	J	`jnl`	Learning Physics Informed Neural ODEs With Partial Measurements. CoRR Paul Ghanem, Ahmet Demirkaya, Tales Imbiriba, Alireza Ramezani, Zachary Danziger, Deniz Erdogmus
2024	J	`jnl`	Learning Semilinear Neural Operators : A Unified Recursive Framework For Prediction And Data Assimilation. CoRR Ashutosh Singh, Ricardo Augusto Borsoi, Deniz Erdogmus, Tales Imbiriba
2024	A*	`conf`	Learning semilinear neural operators: A unified recursive framework for prediction and data assimilation. ICLR Ashutosh Singh, Ricardo Augusto Borsoi, Deniz Erdogmus, Tales Imbiriba
2024	J	`jnl`	MarkovType: A Markov Decision Process Strategy for Non-Invasive Brain-Computer Interfaces Typing Systems. CoRR Elifnur Sunger, Yunus Bicer, Deniz Erdogmus, Tales Imbiriba
2024	J	`jnl`	Multistatic-Radar RCS-Signature Recognition of Aerial Vehicles: A Bayesian Fusion Approach. CoRR Michael Potter, Murat Akçakaya, Marius Necsoiu, Gunar Schirner, Deniz Erdogmus, Tales Imbiriba
2024	—	`conf`	Noise Identification for Data-Augmented Physics-Based State-Space Models. SiPS Jindrich Duník, Ondrej Straka, Oliver Kost, S. Tang, Tales Imbiriba, Pau Closas
2023	Misc	`conf`	A Deep Disentangled Approach for Interpretable Hyperspectral Unmixing. ICASSP Ricardo Augusto Borsoi, Tales Imbiriba, Deniz Erdogmus
2023	J	`jnl`	A Multi-label Classification Approach to Increase Expressivity of EMG-based Gesture Recognition. CoRR Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Stephanie Naufel, Tales Imbiriba, Eugene Tunik, Deniz Erdogmus, Mathew Yarossi
2023	—	`conf`	A Vision for Cleaner Rivers: Harnessing Snapshot Hyperspectral Imaging to Detect Macro-Plastic Litter. WHISPERS Nathaniel Hanson, Ahmet Demirkaya, Deniz Erdogmus, Aron Stubbins, Taskin Padir, Tales Imbiriba
2023	J	`jnl`	A Vision for Cleaner Rivers: Harnessing Snapshot Hyperspectral Imaging to Detect Macro-Plastic Litter. CoRR Nathaniel Hanson, Ahmet Demirkaya, Deniz Erdogmus, Aron Stubbins, Taskin Padir, Tales Imbiriba
2023	—	`conf`	Crowdsourced Jammer Localization Using APBMs: Performance Analysis Considering Observations Disruption. PLANS Andrea Nardin, Tales Imbiriba, Pau Closas
2023	J	`jnl`	Dynamical Hyperspectral Unmixing With Variational Recurrent Neural Networks. IEEE Trans. Image Process. Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas
2023	J	`jnl`	Dynamical Hyperspectral Unmixing with Variational Recurrent Neural Networks. CoRR Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas
2023	J	`jnl`	Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder. CoRR Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Tales Imbiriba, Eugene Tunik, Deniz Erdogmus, Mathew Yarossi, Robin Walters
2023	B	`conf`	Gaussian Process-Based Prediction of Human Trajectories to Promote Seamless Human-Robot Handovers. RO-MAN Kyle Lockwood, Garrit Strenge, Yunus Bicer, Tales Imbiriba, Mariusz P. Furmanek, Taskin Padir, Deniz Erdogmus, Eugene Tunik, Mathew Yarossi
2023	Misc	`conf`	Inv-Senet: Invariant Self Expression Network for Clustering Under Biased Data. ICASSP Ashutosh Singh, Ashish Singh, Aria Masoomi, Tales Imbiriba, Erik G. Learned-Miller, Deniz Erdogmus
2023	—	`conf`	Jammer classification with Federated Learning. PLANS Peng Wu, Helena Calatrava, Tales Imbiriba, Pau Closas
2023	J	`jnl`	Jammer classification with Federated Learning. CoRR Peng Wu, Helena Calatrava, Tales Imbiriba, Pau Closas
2023	Misc	`conf`	Jamming Source Localization Using Augmented Physics-Based Model. ICASSP Andrea Nardin, Tales Imbiriba, Pau Closas
2023	J	`jnl`	Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing. CoRR Ricardo Augusto Borsoi, Deniz Erdogmus, Tales Imbiriba
2023	J	`jnl`	Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing. IEEE Trans. Computational Imaging Ricardo Augusto Borsoi, Deniz Erdogmus, Tales Imbiriba
2023	Misc	`conf`	On Parametric Misspecified Bayesian Cramér-Rao Bound: An Application to Linear/Gaussian Systems. ICASSP Shuo Tang, Gerald LaMountain, Tales Imbiriba, Pau Closas
2023	Misc	`conf`	On the Impact of Sampling on Deep Sequential State Estimation. ACSSC Helena Calatrava, Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas
2023	J	`jnl`	On the Impact of Sampling on Deep Sequential State Estimation. CoRR Helena Calatrava, Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas
2023	—	`conf`	Real-Time Object Localization for Human-Robot Handover. PETRA Sadjad Asghari-Esfeden, Garrit Strenge, Kyle Lockwood, Yunus Bicer, Tales Imbiriba, Mariusz P. Furmanek, Mathew Yarossi, Eugene Tunik, Taskin Padir, Deniz Erdogmus
2023	Misc	`conf`	Recursive Estimation of User Intent From Noninvasive Electroencephalography Using Discriminative Models. ICASSP Niklas Smedemark-Margulies, Basak Celik, Tales Imbiriba, Aziz Kocanaogullari, Deniz Erdogmus
2023	J	`jnl`	User Training with Error Augmentation for Electromyogram-based Gesture Classification. CoRR Yunus Bicer, Niklas Smedemark-Margulies, Basak Celik, Elifnur Sunger, Ryan Orendorff, Stephanie Naufel, Tales Imbiriba, Deniz Erdogmus, Eugene Tunik, Mathew Yarossi
2022	J	`jnl`	Automated deep learning-based wide-band receiver. Comput. Networks 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
2022	J	`jnl`	Bayesian data fusion with shared priors. CoRR Peng Wu, Tales Imbiriba, Victor Elvira, Pau Closas
2022	J	`jnl`	Federated Learning for Indoor Localization via Model Reliability With Dropout. IEEE Commun. Lett. Junha Park, Jiseon Moon, Taekyoon Kim, Peng Wu, Tales Imbiriba, Pau Closas, Sunwoo Kim
2022	C	`conf`	Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering. FUSION Tales Imbiriba, Ahmet Demirkaya, Jindrich Duník, Ondrej Straka, Deniz Erdogmus, Pau Closas
2022	J	`jnl`	Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering. CoRR Tales Imbiriba, Ahmet Demirkaya, Jindrich Duník, Ondrej Straka, Deniz Erdogmus, Pau Closas
2022	J	`jnl`	Inv-SENnet: Invariant Self Expression Network for clustering under biased data. CoRR Ashutosh Singh, Ashish Singh, Aria Masoomi, Tales Imbiriba, Erik G. Learned-Miller, Deniz Erdogmus
2022	J	`jnl`	Kalman Filtering and Expectation Maximization for Multitemporal Spectral Unmixing. IEEE Geosci. Remote. Sens. Lett. Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas, José Carlos M. Bermudez, Cédric Richard
2022	—	`conf`	Leveraging Submovements for Prediction and Trajectory Planning for Human-Robot Handover. PETRA 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
2022	J	`jnl`	Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. Haoqing Li, Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas, José C. M. Bermudez, Deniz Erdogmus
2022	J	`jnl`	Neural Network-Based OFDM Receiver for Resource Constrained IoT Devices. IEEE Internet Things Mag. 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
2022	J	`jnl`	Neural Network-based OFDM Receiver for Resource Constrained IoT Devices. CoRR 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
2022	J	`jnl`	Recursive Estimation of User Intent from Noninvasive Electroencephalography using Discriminative Models. CoRR Niklas Smedemark-Margulies, Basak Celik, Tales Imbiriba, Aziz Kocanaogullari, Deniz Erdogmus
2021	—	`conf`	Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models. EMBC Ahmet Demirkaya, Tales Imbiriba, Kyle Lockwood, Sumientra Rampersad, Elie Alhajjar, Giovanna Guidoboni, Zachary Danziger, Deniz Erdogmus
2021	J	`jnl`	Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models. CoRR Ahmet Demirkaya, Tales Imbiriba, Kyle Lockwood, Sumientra Rampersad, Elie Alhajjar, Giovanna Guidoboni, Zachary Danziger, Deniz Erdogmus
2021	J	`jnl`	Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis. IEEE Geosci. Remote. Sens. Lett. Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
2021	J	`jnl`	Fast Unmixing and Change Detection in Multitemporal Hyperspectral Data. IEEE Trans. Computational Imaging Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
2021	J	`jnl`	Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing. CoRR Haoqing Li, Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas, José Carlos Moreira Bermudez, Deniz Erdogmus
2021	—	`conf`	Personalized Federated Learning over non-IID Data for Indoor Localization. SPAWC Peng Wu, Tales Imbiriba, Junha Park, Sunwoo Kim, Pau Closas
2021	J	`jnl`	Personalized Federated Learning over non-IID Data for Indoor Localization. CoRR Peng Wu, Tales Imbiriba, Junha Park, Sunwoo Kim, Pau Closas
2020	J	`jnl`	A Blind Multiscale Spatial Regularization Framework for Kernel-Based Spectral Unmixing. IEEE Trans. Image Process. Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
2020	J	`jnl`	A Data Dependent Multiscale Model for Hyperspectral Unmixing With Spectral Variability. IEEE Trans. Image Process. Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez
2020	—	`conf`	Biosensor prediction of aggression in youth with autism using kernel-based methods. PETRA Tales Imbiriba, Diana Catalina Cumpanasoiu, James Heathers, Stratis Ioannidis, Deniz Erdogmus, Matthew S. Goodwin
2020	J	`jnl`	Deep Generative Endmember Modeling: An Application to Unsupervised Spectral Unmixing. IEEE Trans. Computational Imaging Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez
2020	C	`conf`	Enhancing Particle Filtering using Gaussian Processes. FUSION Tales Imbiriba, Pau Closas
2020	J	`jnl`	Kalman Filtering and Expectation Maximization for Multitemporal Spectral Unmixing. CoRR Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas, José Carlos Moreira Bermudez, Cédric Richard
2020	J	`jnl`	Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability. IEEE Trans. Geosci. Remote. Sens. Tales Imbiriba, Ricardo Augusto Borsoi, José Carlos Moreira Bermudez
2020	—	`conf`	Motor cortex mapping using active gaussian processes. PETRA Razieh Faghihpirayesh, Tales Imbiriba, Mathew Yarossi, Eugene Tunik, Dana H. Brooks, Deniz Erdogmus
2020	—	`conf`	Recursive Gaussian Processes and Fingerprinting for Indoor Navigation. PLANS Tales Imbiriba, Peng Wu, Gerald LaMountain, Deniz Erdogmus, Pau Closas
2020	J	`jnl`	Super-Resolution for Hyperspectral and Multispectral Image Fusion Accounting for Seasonal Spectral Variability. IEEE Trans. Image Process. Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez
2019	J	`jnl`	A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing. CoRR Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
2019	J	`jnl`	A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
2019	—	`conf`	Change Detection and Gaussian Process Inference in Piecewise Stationary Environments Under Noisy Inputs. CAMSAP Tales Imbiriba, Gerald LaMountain, Peng Wu, Deniz Erdogmus, Pau Closas
2019	J	`jnl`	Deep Generative Endmember Modeling: An Application to Unsupervised Spectral Unmixing. CoRR Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez
2019	J	`jnl`	Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis. CoRR Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
2019	J	`jnl`	Improved Hyperspectral Unmixing With Endmember Variability Parametrized Using an Interpolated Scaling Tensor. CoRR Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez
2019	Misc	`conf`	Improved Hyperspectral Unmixing with Endmember Variability Parametrized Using an Interpolated Scaling Tensor. ICASSP Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez
2018	J	`jnl`	A Data Dependent Multiscale Model for Hyperspectral Unmixing With Spectral Variability. CoRR Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez
2018	—	`conf`	A Low-Rank Tensor Regularization Strategy for Hyperspectral Unmixing. SSP Tales Imbiriba, Ricardo Augusto Borsoi, José Carlos Moreira Bermudez
2018	J	`jnl`	A Low-rank Tensor Regularization Strategy for Hyperspectral Unmixing. CoRR Tales Imbiriba, Ricardo Augusto Borsoi, José Carlos Moreira Bermudez
2018	J	`jnl`	A New Decision-Theory-Based Framework for Echo Canceler Control. IEEE Trans. Signal Process. Tales Imbiriba, José Carlos M. Bermudez, Jean-Yves Tourneret, Neil J. Bershad
2018	Misc	`conf`	Generalized Linear Mixing Model Accounting for Endmember Variability. ICASSP Tales Imbiriba, Ricardo Augusto Borsoi, José Carlos Moreira Bermudez
2018	J	`jnl`	Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability. CoRR Tales Imbiriba, Ricardo Augusto Borsoi, José Carlos Moreira Bermudez
2018	J	`jnl`	Super-Resolution for Hyperspectral and Multispectral Image Fusion Accounting for Seasonal Spectral Variability. CoRR Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez
2017	J	`jnl`	Band Selection for Nonlinear Unmixing of Hyperspectral Images as a Maximal Clique Problem. IEEE Trans. Image Process. Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
2017	J	`jnl`	Generalized linear mixing model accounting for endmember variability. CoRR Tales Imbiriba, Ricardo Augusto Borsoi, José Carlos Moreira Bermudez
2017	J	`jnl`	Tech Report: A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing. CoRR Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
2017	J	`jnl`	Technical Report: A New Decision-Theory-Based Framework for Echo Canceler Control. CoRR Tales Imbiriba, José Carlos M. Bermudez, Jean-Yves Tourneret, Neil J. Bershad
2016	J	`jnl`	Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images. IEEE Trans. Image Process. Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard, Jean-Yves Tourneret
2016	J	`jnl`	Technical Report: Band selection for nonlinear unmixing of hyperspectral images as a maximal click problem. CoRR Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
2015	—	`conf`	Band selection in RKHS for fast nonlinear unmixing of hyperspectral images. EUSIPCO Tales Imbiriba, José Carlos M. Bermudez, Cédric Richard, Jean-Yves Tourneret
2015	J	`jnl`	Band selection in RKHS for fast nonlinear unmixing of hyperspectral images. CoRR Tales Imbiriba, José C. M. Bermudez, Cédric Richard, Jean-Yves Tourneret
2015	J	`jnl`	Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images. CoRR Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard, Jean-Yves Tourneret
2014	Misc	`conf`	Detection of nonlinear mixtures using Gaussian processes: Application to hyperspectral imaging. ICASSP Tales Imbiriba, José C. M. Bermudez, Jean-Yves Tourneret, Cédric Richard
2008	—	`conf`	GASpeech: A Framework for Automatically Estimating Input Parameters of Klatt's Speech Synthesizer. SBRN José Borges, Igor Couto, Fabíola Oliveira, Tales Imbiriba, Aldebaro Klautau