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Ordered quantile normalization: a semiparametric transformation built for the cross-validation era

Journal of applied statistics, 2020-11, Vol.47 (13-15), p.2312-2327

2020

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Time series analysis and long short-term memory neural network to predict landslide displacement

Landslides, 2019-04, Vol.16 (4), p.677-694

2019

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Deploying Machine and Deep Learning Models for Efficient Data-Augmented Detection of COVID-19 Infections

Viruses, 2020-07, Vol.12 (7), p.769

2020

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Learning Latent Representations of 3D Human Pose with Deep Neural Networks

International journal of computer vision, 2018-12, Vol.126 (12), p.1326-1341

2018

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Wearable Sensors for Estimation of Parkinsonian Tremor Severity during Free Body Movements

Sensors (Basel, Switzerland), 2019-09, Vol.19 (19), p.4215

2019

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Wearable Fall Detector Using Recurrent Neural Networks

Sensors (Basel, Switzerland), 2019-11, Vol.19 (22), p.4885

2019

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Dynamic prediction of jet grouted column diameter in soft soil using Bi-LSTM deep learning

Acta geotechnica, 2021, Vol.16 (1), p.303-315

2021

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Supervised Learning in Physical Networks: From Machine Learning to Learning Machines

Physical review. X, 2021-05, Vol.11 (2), p.021045, Article 021045

2021

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Day-Ahead Solar Irradiance Forecasting for Microgrids Using a Long Short-Term Memory Recurrent Neural Network: A Deep Learning Approach

Energies (Basel), 2019-05, Vol.12 (10), p.1856

2019

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Stacked LSTM Sequence-to-Sequence Autoencoder with Feature Selection for Daily Solar Radiation Prediction: A Review and New Modeling Results

Energies (Basel), 2022-02, Vol.15 (3), p.1061

2022

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A deep-learning model for urban traffic flow prediction with traffic events mined from twitter

World wide web (Bussum), 2021-07, Vol.24 (4), p.1345-1368

2021

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A Deep Learning Model for Network Intrusion Detection with Imbalanced Data

Electronics (Basel), 2022-03, Vol.11 (6), p.898

2022

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Prospective Methodologies in Hybrid Renewable Energy Systems for Energy Prediction Using Artificial Neural Networks

Sustainability (Basel, Switzerland), 2021-02, Vol.13 (4), p.2393

2021

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Feature Representations for Neuromorphic Audio Spike Streams

Frontiers in neuroscience, 2018-02, Vol.12, p.23-23

2018

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Document-level attention-based BiLSTM-CRF incorporating disease dictionary for disease named entity recognition

Computers in biology and medicine, 2019-05, Vol.108, p.122-132

2019

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An Hour-Ahead PV Power Forecasting Method Based on an RNN-LSTM Model for Three Different PV Plants

Energies (Basel), 2022-03, Vol.15 (6), p.2243

2022

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MV-RAN: Multiview recurrent aggregation network for echocardiographic sequences segmentation and full cardiac cycle analysis

Computers in biology and medicine, 2020-05, Vol.120, p.103728-103728, Article 103728

2020

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Recognition of pulmonary diseases from lung sounds using convolutional neural networks and long short-term memory

Journal of ambient intelligence and humanized computing, 2022-10, Vol.13 (10), p.4759-4771

2022

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A Deep Machine Learning Method for Concurrent and Interleaved Human Activity Recognition

Sensors (Basel, Switzerland), 2020-10, Vol.20 (20), p.5770

2020

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Extended Range Arctic Sea Ice Forecast with Convolutional Long-Short Term Memory Networks

Monthly weather review, 2021-06, Vol.149 (6), p.1673

2021

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The Impact of Attention Mechanisms on Speech Emotion Recognition

Sensors (Basel, Switzerland), 2021-11, Vol.21 (22), p.7530

2021

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A novel keyframe extraction method for video classification using deep neural networks

Neural computing & applications, 2023-12, Vol.35 (34), p.24513-24524

2023

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Performance of statistical and machine learning ensembles for daily temperature downscaling

Theoretical and applied climatology, 2020-04, Vol.140 (1-2), p.571-588

2020

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Deep learning PM2.5 concentrations with bidirectional LSTM RNN

Air quality, atmosphere and health, 2019-04, Vol.12 (4), p.411-423

2019

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The Effect of Signal Duration on the Classification of Heart Sounds: A Deep Learning Approach

Sensors (Basel, Switzerland), 2022-03, Vol.22 (6), p.2261

2022

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Ordered quantile normalization: a semiparametric transformation built for the cross-validation era

Time series analysis and long short-term memory neural network to predict landslide displacement

Deploying Machine and Deep Learning Models for Efficient Data-Augmented Detection of COVID-19 Infections

Learning Latent Representations of 3D Human Pose with Deep Neural Networks

Wearable Sensors for Estimation of Parkinsonian Tremor Severity during Free Body Movements

Wearable Fall Detector Using Recurrent Neural Networks

Dynamic prediction of jet grouted column diameter in soft soil using Bi-LSTM deep learning

Supervised Learning in Physical Networks: From Machine Learning to Learning Machines

Day-Ahead Solar Irradiance Forecasting for Microgrids Using a Long Short-Term Memory Recurrent Neural Network: A Deep Learning Approach

Stacked LSTM Sequence-to-Sequence Autoencoder with Feature Selection for Daily Solar Radiation Prediction: A Review and New Modeling Results

A deep-learning model for urban traffic flow prediction with traffic events mined from twitter

A Deep Learning Model for Network Intrusion Detection with Imbalanced Data

Prospective Methodologies in Hybrid Renewable Energy Systems for Energy Prediction Using Artificial Neural Networks

Feature Representations for Neuromorphic Audio Spike Streams

Document-level attention-based BiLSTM-CRF incorporating disease dictionary for disease named entity recognition

An Hour-Ahead PV Power Forecasting Method Based on an RNN-LSTM Model for Three Different PV Plants

MV-RAN: Multiview recurrent aggregation network for echocardiographic sequences segmentation and full cardiac cycle analysis

Recognition of pulmonary diseases from lung sounds using convolutional neural networks and long short-term memory

A Deep Machine Learning Method for Concurrent and Interleaved Human Activity Recognition

Extended Range Arctic Sea Ice Forecast with Convolutional Long-Short Term Memory Networks

The Impact of Attention Mechanisms on Speech Emotion Recognition

A novel keyframe extraction method for video classification using deep neural networks

Performance of statistical and machine learning ensembles for daily temperature downscaling

Deep learning PM2.5 concentrations with bidirectional LSTM RNN

The Effect of Signal Duration on the Classification of Heart Sounds: A Deep Learning Approach

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