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Sign language recognition by means of common spatial patterns: An analysis

PloS one, 2022-10, Vol.17 (10), p.e0276941-e0276941

2022

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Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0

Information fusion, 2019-10, Vol.50, p.92-111

2019

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3D Convolutional Neural Networks Initialized from Pretrained 2D Convolutional Neural Networks for Classification of Industrial Parts

Sensors (Basel, Switzerland), 2021-02, Vol.21 (4), p.1078

2021

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Online Student Authentication and Proctoring System Based on Multimodal Biometrics Technology

IEEE access, 2021, Vol.9, p.72398-72411

2021

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Video Activity Recognition: State-of-the-Art

Sensors (Basel, Switzerland), 2019-07, Vol.19 (14), p.3160

2019

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A Method for Detecting Coffee Leaf Rust through Wireless Sensor Networks, Remote Sensing, and Deep Learning: Case Study of the Caturra Variety in Colombia

Applied sciences, 2020-01, Vol.10 (2), p.697

2020

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RANSAC for Robotic Applications: A Survey

Sensors (Basel, Switzerland), 2022-12, Vol.23 (1), p.327

2022

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An Agave Counting Methodology Based on Mathematical Morphology and Images Acquired through Unmanned Aerial Vehicles

Sensors (Basel, Switzerland), 2020-11, Vol.20 (21), p.6247

2020

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Kernel-based support vector machines for automated health status assessment in monitoring sensor data

International journal of advanced manufacturing technology, 2018-03, Vol.95 (1-4), p.327-340

2018

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Natural multimodal communication for human–robot collaboration

International journal of advanced robotic systems, 2017-07, Vol.14 (4), p.172988141771604

2017

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Predictive Maintenance on the Machining Process and Machine Tool

Applied sciences, 2020-01, Vol.10 (1), p.224

2020

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Shedding Light on People Action Recognition in Social Robotics by Means of Common Spatial Patterns

Sensors (Basel, Switzerland), 2020-04, Vol.20 (8), p.2436

2020

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ORdensity: user-friendly R package to identify differentially expressed genes

BMC bioinformatics, 2020-04, Vol.21 (1), p.135-135, Article 135

2020

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On the Evaluation, Management and Improvement of Data Quality in Streaming Time Series

IEEE access, 2022, Vol.10, p.1-1

2022

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Brain Mapping of Behavioral Domains Using Multi-Scale Networks and Canonical Correlation Analysis

Frontiers in neuroscience, 2022-06, Vol.16, p.889725

2022

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Measurement Time Reduction by Means of Mathematical Modeling of Enzyme Mediated RedOx Reaction in Food Samples Biosensors

Sensors (Basel, Switzerland), 2021-04, Vol.21 (9), p.2990

2021

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A hierarchical architecture for recognising intentionality in mental tasks on a brain-computer interface

PloS one, 2019-06, Vol.14 (6), p.e0218181-e0218181

2019

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Histogram-Based Descriptor Subset Selection for Visual Recognition of Industrial Parts

Applied sciences, 2020-06, Vol.10 (11), p.3701

2020

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Statistics-Based Music Generation Approach Considering Both Rhythm and Melody Coherence

IEEE access, 2019, Vol.7, p.183365-183382

2019

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A Hybrid Machine-Learning Ensemble for Anomaly Detection in Real-Time Industry 4.0 Systems

IEEE access, 2022, Vol.10, p.72024-72036

2022

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A Cyber-Physical Data Collection System Integrating Remote Sensing and Wireless Sensor Networks for Coffee Leaf Rust Diagnosis

Sensors (Basel, Switzerland), 2021-08, Vol.21 (16), p.5474

2021

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Towards the use of similarity distances to music genre classification: A comparative study

PloS one, 2018-02, Vol.13 (2), p.e0191417-e0191417

2018

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A New Approach for Video Action Recognition: CSP-Based Filtering for Video to Image Transformation

IEEE access, 2021, Vol.9, p.139946-139957

2021

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Feature selection for speech emotion recognition in Spanish and Basque: on the use of machine learning to improve human-computer interaction

PloS one, 2014-10, Vol.9 (10), p.e108975-e108975

2014

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Towards Smart Data Selection From Time Series Using Statistical Methods

IEEE access, 2021, Vol.9, p.44390-44401

2021

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Sign language recognition by means of common spatial patterns: An analysis

Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0

3D Convolutional Neural Networks Initialized from Pretrained 2D Convolutional Neural Networks for Classification of Industrial Parts

Online Student Authentication and Proctoring System Based on Multimodal Biometrics Technology

Video Activity Recognition: State-of-the-Art

A Method for Detecting Coffee Leaf Rust through Wireless Sensor Networks, Remote Sensing, and Deep Learning: Case Study of the Caturra Variety in Colombia

RANSAC for Robotic Applications: A Survey

An Agave Counting Methodology Based on Mathematical Morphology and Images Acquired through Unmanned Aerial Vehicles

Kernel-based support vector machines for automated health status assessment in monitoring sensor data

Natural multimodal communication for human–robot collaboration

Predictive Maintenance on the Machining Process and Machine Tool

Shedding Light on People Action Recognition in Social Robotics by Means of Common Spatial Patterns

ORdensity: user-friendly R package to identify differentially expressed genes

On the Evaluation, Management and Improvement of Data Quality in Streaming Time Series

Brain Mapping of Behavioral Domains Using Multi-Scale Networks and Canonical Correlation Analysis

Measurement Time Reduction by Means of Mathematical Modeling of Enzyme Mediated RedOx Reaction in Food Samples Biosensors

A hierarchical architecture for recognising intentionality in mental tasks on a brain-computer interface

Histogram-Based Descriptor Subset Selection for Visual Recognition of Industrial Parts

Statistics-Based Music Generation Approach Considering Both Rhythm and Melody Coherence

A Hybrid Machine-Learning Ensemble for Anomaly Detection in Real-Time Industry 4.0 Systems

A Cyber-Physical Data Collection System Integrating Remote Sensing and Wireless Sensor Networks for Coffee Leaf Rust Diagnosis

Towards the use of similarity distances to music genre classification: A comparative study

A New Approach for Video Action Recognition: CSP-Based Filtering for Video to Image Transformation

Feature selection for speech emotion recognition in Spanish and Basque: on the use of machine learning to improve human-computer interaction

Towards Smart Data Selection From Time Series Using Statistical Methods

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