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Quasar microlensing light-curve analysis using deep machine learning

Monthly notices of the Royal Astronomical Society, 2019-06, Vol.486 (2), p.1944-1952

2019

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Survey of Deep-Learning Approaches for Remote Sensing Observation Enhancement

Sensors (Basel, Switzerland), 2019-09, Vol.19 (18), p.3929

2019

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Integrating Visual and Network Data with Deep Learning for Streaming Video Quality Assessment

Sensors (Basel, Switzerland), 2023-04, Vol.23 (8), p.3998

2023

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Large-Scale 3D Two-Photon Imaging of Molecularly Identified CA1 Interneuron Dynamics in Behaving Mice

Neuron (Cambridge, Mass.), 2020-12, Vol.108 (5), p.968-983.e9

2020

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Higher-Order Convolutional Neural Networks for Essential Climate Variables Forecasting

Remote sensing (Basel, Switzerland), 2024-06, Vol.16 (11), p.2020

2024

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4D U-Nets for Multi-Temporal Remote Sensing Data Classification

Remote sensing (Basel, Switzerland), 2022-02, Vol.14 (3), p.634

2022

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Matrix and Tensor Completion on a Human Activity Recognition Framework

IEEE journal of biomedical and health informatics, 2017-11, Vol.21 (6), p.1554-1561

2017

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Embedded Temporal Convolutional Networks for Essential Climate Variables Forecasting

Sensors (Basel, Switzerland), 2022-02, Vol.22 (5), p.1851

2022

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Distributed Training and Inference of Deep Learning Models for Multi-Modal Land Cover Classification

Remote sensing (Basel, Switzerland), 2020-09, Vol.12 (17), p.2670

2020

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OmbriaNet-Supervised Flood Mapping via Convolutional Neural Networks Using Multitemporal Sentinel-1 and Sentinel-2 Data Fusion

IEEE journal of selected topics in applied earth observations and remote sensing, 2022, Vol.15, p.2341-2356

2022

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Semantic Predictive Coding with Arbitrated Generative Adversarial Networks

Machine learning and knowledge extraction, 2020-09, Vol.2 (3), p.307-326

2020

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Deep Learning for Multilabel Land Cover Scene Categorization Using Data Augmentation

IEEE geoscience and remote sensing letters, 2019-07, Vol.16 (7), p.1031-1035

2019

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Smart Water Grids: A Cyber-Physical Systems Approach

1, 2018

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Quantifying the structure of strong gravitational lens potentials with uncertainty-aware deep neural networks

Monthly notices of the Royal Astronomical Society, 2020-12, Vol.499 (4), p.5641-5652

2020

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Spectral Super Resolution of Hyperspectral Images via Coupled Dictionary Learning

IEEE transactions on geoscience and remote sensing, 2019-05, Vol.57 (5), p.2777-2797

2019

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Snapshot High Dynamic Range Imaging via Sparse Representations and Feature Learning

IEEE transactions on multimedia, 2020-03, Vol.22 (3), p.688-703

2020

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Tensor Decomposition Learning for Compression of Multidimensional Signals

IEEE journal of selected topics in signal processing, 2021-04, Vol.15 (3), p.476-490

2021

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Land Classification Using Remotely Sensed Data: Going Multilabel

IEEE transactions on geoscience and remote sensing, 2016-06, Vol.54 (6), p.3548-3563

2016

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Online Distance Metric Learning for Object Tracking

IEEE transactions on circuits and systems for video technology, 2011-12, Vol.21 (12), p.1810-1821

2011

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Measuring the substructure mass power spectrum of 23 SLACS strong galaxy–galaxy lenses with convolutional neural networks

Monthly notices of the Royal Astronomical Society, 2024-08, Vol.532 (2), p.2248-2269

2024

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4D Convolutional Neural Networks for Multi-Spectral and Multi-Temporal Remote Sensing Data Classification

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, p.1541-1545

2022

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Singular spectrum-based matrix completion for time series recovery and prediction

EURASIP journal on advances in signal processing, 2016-05, Vol.2016 (1), p.1-14, Article 66

2016

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A Generative Neighborhood-Based Deep Autoencoder for Robust Imbalanced Classification

IEEE transactions on artificial intelligence, 2024-01, Vol.5 (1), p.80-91

2024

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Graph and Rank Regularized Matrix Recovery for Snapshot Spectral Image Demosaicing

IEEE transactions on computational imaging, 2019-06, Vol.5 (2), p.301-316

2019

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Adversarial dictionary learning for a robust analysis and modelling of spontaneous neuronal activity

Neurocomputing (Amsterdam), 2020-05, Vol.388, p.188-201

2020

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Quasar microlensing light-curve analysis using deep machine learning

Survey of Deep-Learning Approaches for Remote Sensing Observation Enhancement

Integrating Visual and Network Data with Deep Learning for Streaming Video Quality Assessment

Large-Scale 3D Two-Photon Imaging of Molecularly Identified CA1 Interneuron Dynamics in Behaving Mice

Higher-Order Convolutional Neural Networks for Essential Climate Variables Forecasting

4D U-Nets for Multi-Temporal Remote Sensing Data Classification

Matrix and Tensor Completion on a Human Activity Recognition Framework

Embedded Temporal Convolutional Networks for Essential Climate Variables Forecasting

Distributed Training and Inference of Deep Learning Models for Multi-Modal Land Cover Classification

OmbriaNet-Supervised Flood Mapping via Convolutional Neural Networks Using Multitemporal Sentinel-1 and Sentinel-2 Data Fusion

Semantic Predictive Coding with Arbitrated Generative Adversarial Networks

Deep Learning for Multilabel Land Cover Scene Categorization Using Data Augmentation

Smart Water Grids: A Cyber-Physical Systems Approach

Quantifying the structure of strong gravitational lens potentials with uncertainty-aware deep neural networks

Spectral Super Resolution of Hyperspectral Images via Coupled Dictionary Learning

Snapshot High Dynamic Range Imaging via Sparse Representations and Feature Learning

Tensor Decomposition Learning for Compression of Multidimensional Signals

Land Classification Using Remotely Sensed Data: Going Multilabel

Online Distance Metric Learning for Object Tracking

Measuring the substructure mass power spectrum of 23 SLACS strong galaxy–galaxy lenses with convolutional neural networks

4D Convolutional Neural Networks for Multi-Spectral and Multi-Temporal Remote Sensing Data Classification

Singular spectrum-based matrix completion for time series recovery and prediction

A Generative Neighborhood-Based Deep Autoencoder for Robust Imbalanced Classification

Graph and Rank Regularized Matrix Recovery for Snapshot Spectral Image Demosaicing

Adversarial dictionary learning for a robust analysis and modelling of spontaneous neuronal activity

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