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2020 – today
- 2024
- [j22]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: 102386 (2024) - [j21]Shuo Tang, Tales Imbiriba, Jindrich Duník, Ondrej Straka, Pau Closas:
Augmented Physics-Based Models for High-Order Markov Filtering. Sensors 24(18): 6132 (2024) - [j20]Tales Imbiriba, Ondrej Straka, Jindrich Duník, Pau Closas:
Augmented Physics-Based Machine Learning for Navigation and Tracking. IEEE Trans. Aerosp. Electron. Syst. 60(3): 2692-2704 (2024) - [j19]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) - [c28]Haoqing Li, Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas:
A Variational Approach for Robust Online Fusion of Multiresolution Multispectral Images. EUSIPCO 2024: 666-670 - [c27]Ashutosh Singh, Ricardo Augusto Borsoi, Deniz Erdogmus, Tales Imbiriba:
Learning semilinear neural operators: A unified recursive framework for prediction and data assimilation. ICLR 2024 - [i35]Ashutosh Singh, Ricardo Augusto Borsoi, Deniz Erdogmus, Tales Imbiriba:
Learning Semilinear Neural Operators : A Unified Recursive Framework For Prediction And Data Assimilation. CoRR abs/2402.15656 (2024) - [i34]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 abs/2402.17987 (2024) - [i33]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 abs/2405.18999 (2024) - [i32]Ashutosh Singh, Ashish Singh, Tales Imbiriba, Deniz Erdogmus, Ricardo Augusto Borsoi:
KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operators. CoRR abs/2409.19518 (2024) - 2023
- [j18]Ricardo Augusto Borsoi, Deniz Erdogmus, Tales Imbiriba:
Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing. IEEE Trans. Computational Imaging 9: 977-991 (2023) - [j17]Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas:
Dynamical Hyperspectral Unmixing With Variational Recurrent Neural Networks. IEEE Trans. Image Process. 32: 2279-2294 (2023) - [c26]Helena Calatrava, Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas:
On the Impact of Sampling on Deep Sequential State Estimation. ACSSC 2023: 1362-1366 - [c25]Ricardo Augusto Borsoi, Tales Imbiriba, Deniz Erdogmus:
A Deep Disentangled Approach for Interpretable Hyperspectral Unmixing. ICASSP 2023: 1-2 - [c24]Andrea Nardin, Tales Imbiriba, Pau Closas:
Jamming Source Localization Using Augmented Physics-Based Model. ICASSP 2023: 1-5 - [c23]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: 1-5 - [c22]Niklas Smedemark-Margulies, Basak Celik, Tales Imbiriba, Aziz Kocanaogullari, Deniz Erdogmus:
Recursive Estimation of User Intent From Noninvasive Electroencephalography Using Discriminative Models. ICASSP 2023: 1-5 - [c21]Shuo Tang, Gerald LaMountain, Tales Imbiriba, Pau Closas:
On Parametric Misspecified Bayesian Cramér-Rao Bound: An Application to Linear/Gaussian Systems. ICASSP 2023: 1-5 - [c20]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: 42-46 - [c19]Peng Wu, Helena Calatrava, Tales Imbiriba, Pau Closas:
Jammer classification with Federated Learning. PLANS 2023: 228-234 - [c18]Andrea Nardin, Tales Imbiriba, Pau Closas:
Crowdsourced Jammer Localization Using APBMs: Performance Analysis Considering Observations Disruption. PLANS 2023: 511-519 - [c17]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: 2259-2266 - [c16]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: 1-5 - [d2]Haoqing Li, Bhavya Duvvuri, Ricardo Augusto Borsoi, Tales Imbiriba, Edward Beighley, Deniz Erdogmus, Pau Closas:
Online Fusion of Multi-resolution Multispectral Images with Weakly Supervised Temporal Dynamics. Zenodo, 2023 - [i31]Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas:
Dynamical Hyperspectral Unmixing with Variational Recurrent Neural Networks. CoRR abs/2303.10566 (2023) - [i30]Peng Wu, Helena Calatrava, Tales Imbiriba, Pau Closas:
Jammer classification with Federated Learning. CoRR abs/2306.02587 (2023) - [i29]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 abs/2307.12145 (2023) - [i28]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 abs/2309.07289 (2023) - [i27]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 abs/2309.12217 (2023) - [i26]Ricardo Augusto Borsoi, Deniz Erdogmus, Tales Imbiriba:
Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing. CoRR abs/2310.02340 (2023) - [i25]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 abs/2311.14675 (2023) - [i24]Helena Calatrava, Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas:
On the Impact of Sampling on Deep Sequential State Estimation. CoRR abs/2311.17006 (2023) - 2022
- [j16]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: 109367 (2022) - [j15]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): 1553-1557 (2022) - [j14]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): 158-164 (2022) - [j13]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: 1-5 (2022) - [j12]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: 1-5 (2022) - [c15]Tales Imbiriba, Ahmet Demirkaya, Jindrich Duník, Ondrej Straka, Deniz Erdogmus, Pau Closas:
Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering. FUSION 2022: 1-6 - [c14]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: 247-253 - [d1]Helena Calatrava, Bhavya Duvvuri, Haoqing Li, Ricardo Augusto Borsoi, Tales Imbiriba, Edward Beighley, Deniz Erdogmus, Pau Closas:
Sentinel-2 Images from Oroville Dam and Charles River. Zenodo, 2022 - [i23]Tales Imbiriba, Ahmet Demirkaya, Jindrich Duník, Ondrej Straka, Deniz Erdogmus, Pau Closas:
Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering. CoRR abs/2204.06471 (2022) - [i22]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 abs/2205.06159 (2022) - [i21]Niklas Smedemark-Margulies, Basak Celik, Tales Imbiriba, Aziz Kocanaogullari, Deniz Erdogmus:
Recursive Estimation of User Intent from Noninvasive Electroencephalography using Discriminative Models. CoRR abs/2211.02630 (2022) - [i20]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 abs/2211.06780 (2022) - [i19]Peng Wu, Tales Imbiriba, Victor Elvira, Pau Closas:
Bayesian data fusion with shared priors. CoRR abs/2212.07311 (2022) - 2021
- [j11]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): 1831-1835 (2021) - [j10]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: 975-988 (2021) - [c13]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: 763-766 - [c12]Peng Wu, Tales Imbiriba, Junha Park, Sunwoo Kim, Pau Closas:
Personalized Federated Learning over non-IID Data for Indoor Localization. SPAWC 2021: 421-425 - [i18]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 abs/2104.08409 (2021) - [i17]Peng Wu, Tales Imbiriba, Junha Park, Sunwoo Kim, Pau Closas:
Personalized Federated Learning over non-IID Data for Indoor Localization. CoRR abs/2107.04189 (2021) - [i16]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 abs/2110.06089 (2021) - 2020
- [j9]Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez:
Deep Generative Endmember Modeling: An Application to Unsupervised Spectral Unmixing. IEEE Trans. Computational Imaging 6: 374-384 (2020) - [j8]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): 1833-1842 (2020) - [j7]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: 116-127 (2020) - [j6]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: 3638-3651 (2020) - [j5]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: 4965-4979 (2020) - [c11]Tales Imbiriba, Pau Closas:
Enhancing Particle Filtering using Gaussian Processes. FUSION 2020: 1-7 - [c10]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: 13:1-13:6 - [c9]Razieh Faghihpirayesh, Tales Imbiriba, Mathew Yarossi, Eugene Tunik, Dana H. Brooks, Deniz Erdogmus:
Motor cortex mapping using active gaussian processes. PETRA 2020: 14:1-14:7 - [c8]Tales Imbiriba, Peng Wu, Gerald LaMountain, Deniz Erdogmus, Pau Closas:
Recursive Gaussian Processes and Fingerprinting for Indoor Navigation. PLANS 2020: 933-940 - [i15]Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas, José Carlos Moreira Bermudez, Cédric Richard:
Kalman Filtering and Expectation Maximization for Multitemporal Spectral Unmixing. CoRR abs/2001.00425 (2020)
2010 – 2019
- 2019
- [j4]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): 598-602 (2019) - [c7]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: 530-534 - [c6]Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez:
Improved Hyperspectral Unmixing with Endmember Variability Parametrized Using an Interpolated Scaling Tensor. ICASSP 2019: 2177-2181 - [i14]Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez:
Improved Hyperspectral Unmixing With Endmember Variability Parametrized Using an Interpolated Scaling Tensor. CoRR abs/1901.00463 (2019) - [i13]Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez:
Deep Generative Endmember Modeling: An Application to Unsupervised Spectral Unmixing. CoRR abs/1902.05528 (2019) - [i12]Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard:
A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing. CoRR abs/1908.06925 (2019) - [i11]Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard:
Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis. CoRR abs/1909.09741 (2019) - 2018
- [j3]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): 4304-4314 (2018) - [c5]Tales Imbiriba, Ricardo Augusto Borsoi, José Carlos Moreira Bermudez:
Generalized Linear Mixing Model Accounting for Endmember Variability. ICASSP 2018: 1862-1866 - [c4]Tales Imbiriba, Ricardo Augusto Borsoi, José Carlos Moreira Bermudez:
A Low-Rank Tensor Regularization Strategy for Hyperspectral Unmixing. SSP 2018: 373-377 - [i10]Tales Imbiriba, Ricardo Augusto Borsoi, José Carlos Moreira Bermudez:
A Low-rank Tensor Regularization Strategy for Hyperspectral Unmixing. CoRR abs/1803.06355 (2018) - [i9]Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez:
A Data Dependent Multiscale Model for Hyperspectral Unmixing With Spectral Variability. CoRR abs/1808.01047 (2018) - [i8]Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez:
Super-Resolution for Hyperspectral and Multispectral Image Fusion Accounting for Seasonal Spectral Variability. CoRR abs/1808.10072 (2018) - [i7]Tales Imbiriba, Ricardo Augusto Borsoi, José Carlos Moreira Bermudez:
Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability. CoRR abs/1811.02413 (2018) - 2017
- [j2]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): 2179-2191 (2017) - [i6]Tales Imbiriba, Ricardo Augusto Borsoi, José Carlos Moreira Bermudez:
Generalized linear mixing model accounting for endmember variability. CoRR abs/1710.07723 (2017) - [i5]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 abs/1711.11454 (2017) - [i4]Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard:
Tech Report: A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing. CoRR abs/1712.01770 (2017) - 2016
- [j1]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): 1136-1151 (2016) - [i3]Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard:
Technical Report: Band selection for nonlinear unmixing of hyperspectral images as a maximal click problem. CoRR abs/1603.00437 (2016) - 2015
- [c3]Tales Imbiriba, José Carlos M. Bermudez, Cédric Richard, Jean-Yves Tourneret:
Band selection in RKHS for fast nonlinear unmixing of hyperspectral images. EUSIPCO 2015: 1651-1655 - [i2]Tales Imbiriba, José C. M. Bermudez, Cédric Richard, Jean-Yves Tourneret:
Band selection in RKHS for fast nonlinear unmixing of hyperspectral images. CoRR abs/1503.02090 (2015) - [i1]Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard, Jean-Yves Tourneret:
Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images. CoRR abs/1503.05521 (2015) - 2014
- [c2]Tales Imbiriba, José C. M. Bermudez, Jean-Yves Tourneret, Cédric Richard:
Detection of nonlinear mixtures using Gaussian processes: Application to hyperspectral imaging. ICASSP 2014: 7949-7953
2000 – 2009
- 2008
- [c1]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: 81-86
Coauthor Index
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