GASpeech: A Framework for Automatically Estimating Input Parameters of Klatt's Speech Synthesizer. - José Borges; Igor Couto; Fabíola Oliveira; Tales Imbiriba; Aldebaro Klautau (SBRN, 2008)

Detection of nonlinear mixtures using Gaussian processes: Application to hyperspectral imaging. - Tales Imbiriba; José C. M. Bermudez; Jean-Yves Tourneret; Cédric Richard (ICASSP, 2014)

Band selection in RKHS for fast nonlinear unmixing of hyperspectral images. - Tales Imbiriba; José Carlos M. Bermudez; Cédric Richard; Jean-Yves Tourneret (EUSIPCO, 2015)

Technical Report: Band selection for nonlinear unmixing of hyperspectral images as a maximal click problem. - Tales Imbiriba; José Carlos Moreira Bermudez; Cédric Richard (CoRR, 2016)

Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images. - Tales Imbiriba; José Carlos Moreira Bermudez; Cédric Richard; Jean-Yves Tourneret (IEEE Trans. Image Process., 2016)

Technical Report: A New Decision-Theory-Based Framework for Echo Canceler Control. - Tales Imbiriba; José Carlos M. Bermudez; Jean-Yves Tourneret; Neil J. Bershad (CoRR, 2017)

Tech Report: A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing. - Ricardo Augusto Borsoi; Tales Imbiriba; José Carlos Moreira Bermudez; Cédric Richard (CoRR, 2017)

Band Selection for Nonlinear Unmixing of Hyperspectral Images as a Maximal Clique Problem. - Tales Imbiriba; José Carlos Moreira Bermudez; Cédric Richard (IEEE Trans. Image Process., 2017)

Generalized Linear Mixing Model Accounting for Endmember Variability. - Tales Imbiriba; Ricardo Augusto Borsoi; José Carlos Moreira Bermudez (ICASSP, 2018)

A Low-Rank Tensor Regularization Strategy for Hyperspectral Unmixing. - Tales Imbiriba; Ricardo Augusto Borsoi; José Carlos Moreira Bermudez (SSP, 2018)

A New Decision-Theory-Based Framework for Echo Canceler Control. - Tales Imbiriba; José Carlos M. Bermudez; Jean-Yves Tourneret; Neil J. Bershad (IEEE Trans. Signal Process., 2018)

Change Detection and Gaussian Process Inference in Piecewise Stationary Environments Under Noisy Inputs. - Tales Imbiriba; Gerald LaMountain; Peng Wu 019; Deniz Erdogmus; Pau Closas (CAMSAP, 2019)

Improved Hyperspectral Unmixing with Endmember Variability Parametrized Using an Interpolated Scaling Tensor. - Ricardo Augusto Borsoi; Tales Imbiriba; José Carlos Moreira Bermudez (ICASSP, 2019)

A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing. - Ricardo Augusto Borsoi; Tales Imbiriba; José Carlos Moreira Bermudez; Cédric Richard (IEEE Geosci. Remote. Sens. Lett., 2019)

Enhancing Particle Filtering using Gaussian Processes. - Tales Imbiriba; Pau Closas (FUSION, 2020)

Motor cortex mapping using active gaussian processes. - Razieh Faghihpirayesh; Tales Imbiriba; Mathew Yarossi; Eugene Tunik; Dana H. Brooks; Deniz Erdogmus (PETRA, 2020)

Biosensor prediction of aggression in youth with autism using kernel-based methods. - Tales Imbiriba; Diana Catalina Cumpanasoiu; James Heathers; Stratis Ioannidis; Deniz Erdogmus; Matthew S. Goodwin (PETRA, 2020)

Recursive Gaussian Processes and Fingerprinting for Indoor Navigation. - Tales Imbiriba; Peng Wu 019; Gerald LaMountain; Deniz Erdogmus; Pau Closas (PLANS, 2020)

Deep Generative Endmember Modeling: An Application to Unsupervised Spectral Unmixing. - Ricardo Augusto Borsoi; Tales Imbiriba; José Carlos Moreira Bermudez (IEEE Trans. Computational Imaging, 2020)

Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability. - Tales Imbiriba; Ricardo Augusto Borsoi; José Carlos Moreira Bermudez (IEEE Trans. Geosci. Remote. Sens., 2020)

Super-Resolution for Hyperspectral and Multispectral Image Fusion Accounting for Seasonal Spectral Variability. - Ricardo Augusto Borsoi; Tales Imbiriba; José Carlos Moreira Bermudez (IEEE Trans. Image Process., 2020)

A Data Dependent Multiscale Model for Hyperspectral Unmixing With Spectral Variability. - Ricardo Augusto Borsoi; Tales Imbiriba; José Carlos Moreira Bermudez (IEEE Trans. Image Process., 2020)

A Blind Multiscale Spatial Regularization Framework for Kernel-Based Spectral Unmixing. - Ricardo Augusto Borsoi; Tales Imbiriba; José Carlos Moreira Bermudez; Cédric Richard (IEEE Trans. Image Process., 2020)

Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models. - Ahmet Demirkaya; Tales Imbiriba; Kyle Lockwood; Sumientra Rampersad; Elie Alhajjar; Giovanna Guidoboni; Zachary Danziger; Deniz Erdogmus (EMBC, 2021)

Personalized Federated Learning over non-IID Data for Indoor Localization. - Peng Wu 019; Tales Imbiriba; Junha Park; Sunwoo Kim 001; Pau Closas (SPAWC, 2021)

Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis. - Ricardo Augusto Borsoi; Tales Imbiriba; José Carlos Moreira Bermudez; Cédric Richard (IEEE Geosci. Remote. Sens. Lett., 2021)

Fast Unmixing and Change Detection in Multitemporal Hyperspectral Data. - Ricardo Augusto Borsoi; Tales Imbiriba; José Carlos Moreira Bermudez; Cédric Richard (IEEE Trans. Computational Imaging, 2021)

Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering. - Tales Imbiriba; Ahmet Demirkaya; Jindrich Duník; Ondrej Straka; Deniz Erdogmus; Pau Closas (FUSION, 2022)

Leveraging Submovements for Prediction and Trajectory Planning for Human-Robot Handover. - 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 (PETRA, 2022)

Automated deep learning-based wide-band receiver. - Bahar Azari; Hai Cheng; Nasim Soltani; Haoqing Li 001; Yanyu Li; Mauro Belgiovine; Tales Imbiriba; Salvatore D'Oro; Tommaso Melodia; Yanzhi Wang; Pau Closas; Kaushik R. Chowdhury; et al. (Comput. Networks, 2022)

Inv-SENnet: Invariant Self Expression Network for clustering under biased data. - Ashutosh Singh; Ashish Singh; Aria Masoomi; Tales Imbiriba; Erik G. Learned-Miller; Deniz Erdogmus (CoRR, 2022)

Federated Learning for Indoor Localization via Model Reliability With Dropout. - Junha Park; Jiseon Moon; Taekyoon Kim; Peng Wu 019; Tales Imbiriba; Pau Closas; Sunwoo Kim 001 (IEEE Commun. Lett., 2022)

Neural Network-Based OFDM Receiver for Resource Constrained IoT Devices. - Nasim Soltani; Hai Cheng; Mauro Belgiovine; Yanyu Li; Haoqing Li 001; Bahar Azari; Salvatore D'Oro; Tales Imbiriba; Tommaso Melodia; Pau Closas; Yanzhi Wang; Deniz Erdogmus; et al. (IEEE Internet Things Mag., 2022)

Kalman Filtering and Expectation Maximization for Multitemporal Spectral Unmixing. - Ricardo Augusto Borsoi; Tales Imbiriba; Pau Closas; José Carlos M. Bermudez; Cédric Richard (IEEE Geosci. Remote. Sens. Lett., 2022)

Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing. - Haoqing Li 001; Ricardo Augusto Borsoi; Tales Imbiriba; Pau Closas; José C. M. Bermudez; Deniz Erdogmus (IEEE Geosci. Remote. Sens. Lett., 2022)

Sentinel-2 Images from Oroville Dam and Charles River. - Helena Calatrava; Bhavya Duvvuri; Haoqing Li 001; Ricardo Augusto Borsoi; Tales Imbiriba; Edward Beighley; Deniz Erdogmus; Pau Closas (Zenodo, 2022)

On the Impact of Sampling on Deep Sequential State Estimation. - Helena Calatrava; Ricardo Augusto Borsoi; Tales Imbiriba; Pau Closas (ACSSC, 2023)

A Deep Disentangled Approach for Interpretable Hyperspectral Unmixing. - Ricardo Augusto Borsoi; Tales Imbiriba; Deniz Erdogmus (ICASSP, 2023)

Jamming Source Localization Using Augmented Physics-Based Model. - Andrea Nardin; Tales Imbiriba; Pau Closas (ICASSP, 2023)

Inv-Senet: Invariant Self Expression Network for Clustering Under Biased Data. - Ashutosh Singh; Ashish Singh; Aria Masoomi; Tales Imbiriba; Erik G. Learned-Miller; Deniz Erdogmus (ICASSP, 2023)

Recursive Estimation of User Intent From Noninvasive Electroencephalography Using Discriminative Models. - Niklas Smedemark-Margulies; Basak Celik; Tales Imbiriba; Aziz Kocanaogullari; Deniz Erdogmus (ICASSP, 2023)

On Parametric Misspecified Bayesian Cramér-Rao Bound: An Application to Linear/Gaussian Systems. - Shuo Tang; Gerald LaMountain; Tales Imbiriba; Pau Closas (ICASSP, 2023)

Real-Time Object Localization for Human-Robot Handover. - Sadjad Asghari-Esfeden; Garrit Strenge; Kyle Lockwood; Yunus Bicer; Tales Imbiriba; Mariusz P. Furmanek; Mathew Yarossi; Eugene Tunik; Taskin Padir; Deniz Erdogmus (PETRA, 2023)

Crowdsourced Jammer Localization Using APBMs: Performance Analysis Considering Observations Disruption. - Andrea Nardin; Tales Imbiriba; Pau Closas (PLANS, 2023)

Jammer classification with Federated Learning. - Peng Wu 019; Helena Calatrava; Tales Imbiriba; Pau Closas (PLANS, 2023)

Gaussian Process-Based Prediction of Human Trajectories to Promote Seamless Human-Robot Handovers. - Kyle Lockwood; Garrit Strenge; Yunus Bicer; Tales Imbiriba; Mariusz P. Furmanek; Taskin Padir; Deniz Erdogmus; Eugene Tunik; Mathew Yarossi (RO-MAN, 2023)

A Vision for Cleaner Rivers: Harnessing Snapshot Hyperspectral Imaging to Detect Macro-Plastic Litter. - Nathaniel Hanson; Ahmet Demirkaya; Deniz Erdogmus; Aron Stubbins; Taskin Padir; Tales Imbiriba (WHISPERS, 2023)

User Training with Error Augmentation for Electromyogram-based Gesture Classification. - Yunus Bicer; Niklas Smedemark-Margulies; Basak Celik; Elifnur Sunger; Ryan Orendorff; Stephanie Naufel; Tales Imbiriba; Deniz Erdogmus; Eugene Tunik; Mathew Yarossi (CoRR, 2023)

A Multi-label Classification Approach to Increase Expressivity of EMG-based Gesture Recognition. - Niklas Smedemark-Margulies; Yunus Bicer; Elifnur Sunger; Stephanie Naufel; Tales Imbiriba; Eugene Tunik; Deniz Erdogmus; Mathew Yarossi (CoRR, 2023)

Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing. - Ricardo Augusto Borsoi; Deniz Erdogmus; Tales Imbiriba (IEEE Trans. Computational Imaging, 2023)

Dynamical Hyperspectral Unmixing With Variational Recurrent Neural Networks. - Ricardo Augusto Borsoi; Tales Imbiriba; Pau Closas (IEEE Trans. Image Process., 2023)

Online Fusion of Multi-resolution Multispectral Images with Weakly Supervised Temporal Dynamics. - Haoqing Li 001; Bhavya Duvvuri; Ricardo Augusto Borsoi; Tales Imbiriba; Edward Beighley; Deniz Erdogmus; Pau Closas (Zenodo, 2023)

A Variational Approach for Robust Online Fusion of Multiresolution Multispectral Images. - Haoqing Li 001; Ricardo Augusto Borsoi; Tales Imbiriba; Pau Closas (EUSIPCO, 2024)

Learning semilinear neural operators: A unified recursive framework for prediction and data assimilation. - Ashutosh Singh; Ricardo Augusto Borsoi; Deniz Erdogmus; Tales Imbiriba (ICLR, 2024)

Noise Identification for Data-Augmented Physics-Based State-Space Models. - Jindrich Duník; Ondrej Straka; Oliver Kost; S. Tang; Tales Imbiriba; Pau Closas (SiPS, 2024)

Advancing post-traumatic seizure classification and biomarker identification: Information decomposition based multimodal fusion and explainable machine learning with missing neuroimaging data. - 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 (Comput. Medical Imaging Graph., 2024)

KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operators. - Ashutosh Singh; Ashish Singh; Tales Imbiriba; Deniz Erdogmus; Ricardo Augusto Borsoi (CoRR, 2024)

AI-Aided Kalman Filters. - Nir Shlezinger; Guy Revach; Anubhab Ghosh; Saikat Chatterjee; Shuo Tang; Tales Imbiriba; Jindrich Duník; Ondrej Straka; Pau Closas; Yonina C. Eldar (CoRR, 2024)

A Bayesian Framework for Clustered Federated Learning. - Peng Wu 019; Tales Imbiriba; Pau Closas (CoRR, 2024)

Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder. - Niklas Smedemark-Margulies; Yunus Bicer; Elifnur Sunger; Tales Imbiriba; Eugene Tunik; Deniz Erdogmus; Mathew Yarossi; Robin Walters 001 (Trans. Mach. Learn. Res., 2024)

Bayesian Data Fusion With Shared Priors. - Peng Wu 019; Tales Imbiriba; Víctor Elvira; Pau Closas (IEEE Trans. Signal Process., 2024)

Augmented Physics-Based Machine Learning for Navigation and Tracking. - Tales Imbiriba; Ondrej Straka; Jindrich Duník; Pau Closas (IEEE Trans. Aerosp. Electron. Syst., 2024)

RBC-SatImg: Sentinel-2 Imagery and WatData Labels for Water Mapping. - Helena Calatrava; Bhavya Duvvuri; Haoqing Li 001; Ricardo Augusto Borsoi; Tales Imbiriba; Edward Beighley; Deniz Erdogmus; Pau Closas (Zenodo, 2024)

Augmented Physics-Based Models for High-Order Markov Filtering. - Shuo Tang; Tales Imbiriba; Jindrich Duník; Ondrej Straka; Pau Closas (Sensors, 2024)

Learning Physics Informed Neural ODEs with Partial Measurements. - Paul Ghanem; Ahmet Demirkaya; Tales Imbiriba; Alireza Ramezani; Zachary Danziger; Deniz Erdogmus (AAAI, 2025)

MarkovType: A Markov Decision Process Strategy for Non-Invasive Brain-Computer Interfaces Typing Systems. - Elifnur Sunger; Yunus Bicer; Deniz Erdogmus; Tales Imbiriba (AAAI, 2025)

Jammer Source Localization with Federated Learning. - Mariona Jaramillo-Civill; Peng Wu 019; Andrea Nardin; Tales Imbiriba; Pau Closas (PLANS, 2025)

Multistatic-Radar RCS-Signature Recognition of Aerial Vehicles: A Bayesian Fusion Approach. - Michael Potter; Murat Akçakaya; Marius Necsoiu; Gunar Schirner; Deniz Erdogmus; Tales Imbiriba (IEEE Trans. Aerosp. Electron. Syst., 2025)

Dependency-aware Maximum Likelihood Estimation for Active Learning. - Beyza Kalkanli; Tales Imbiriba; Stratis Ioannidis; Deniz Erdogmus; Jennifer G. Dy (CoRR, 2025)

Recursive Deep Inverse Reinforcement Learning. - Paul Ghanem; Michael Potter; Owen Howell; Pau Closas; Alireza Ramezani; Deniz Erdogmus; Tales Imbiriba (CoRR, 2025)

A Hybrid ODE-NN Framework for Modeling Incomplete Physiological Systems. - Ahmet Demirkaya; Kyle Lockwood; Georgios Stratis; Tales Imbiriba; Iulian Ilies; Sumientra Rampersad; Elie Alhajjar; Giovanna Guidoboni; Zachary C. Danziger; Deniz Erdogmus (IEEE Trans. Biomed. Eng., 2025)

Interpretable Augmented Physics-Based Model for Estimation and Tracking. - Ondrej Straka; Jindrich Duník; Pau Closas; Tales Imbiriba (CoRR, 2025)

Continuously Optimizing Radar Placement With Model-Predictive Path Integrals. - Michael Potter; Shuo Tang; Paul Ghanem; Milica Stojanovic; Pau Closas; Murat Akçakaya; Ben Wright; Marius Necsoiu; Deniz Erdogmus; Michael Everett; Tales Imbiriba (IEEE Trans. Aerosp. Electron. Syst., 2025)