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Demonstration of the potential of white-box machine learning approaches to gain insights from cardiovascular disease electrocardiograms

PloS one, 2020-12, Vol.15 (12), p.e0243615-e0243615

2020

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A Novel Small-Data Based Approach for Decoding Yes/No-Decisions of Locked-In Patients Using Generative Adversarial Networks

IEEE access, 2023, Vol.11, p.118849-118864

2023

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Unlocking the Potential of Wind Energy with Machine Learning-Based Avian Detection: A Call to Action

IEEE access, 2023-01, Vol.11, p.1-1

2023

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A Deep Learning-Based Approach for the Detection of Infested Soybean Leaves

IEEE access, 2023, Vol.11, p.99670-99679

2023

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Benchmarking Transfer Learning Strategies in Time-Series Imaging: Recommendations for Analyzing Raw Sensor Data

IEEE access, 2022, Vol.10, p.16977-16991

2022

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Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data

IEEE access, 2023-01, Vol.11, p.1-1

2023

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A Systematic Literature Review of Crowdsourcing Research from a Human Resource Management Perspective

2015 48th Hawaii International Conference on System Sciences, 2015, p.4609-4618

Buettner, Ricardo

2015

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IEEE_Xplore

A Novel Hybrid Deep Learning Architecture for Dynamic Hand Gesture Recognition

IEEE access, 2024, Vol.12, p.28761-28774

2024

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Getting a Job via Career-Oriented Social Networking Sites: The Weakness of Ties

2016 49th Hawaii International Conference on System Sciences (HICSS), 2016, p.2156-2165

Buettner, Ricardo

2016

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IEEE_Xplore

Getting a job via career-oriented social networking markets: The weakness of too many ties

Electronic markets, 2017-11, Vol.27 (4), p.371-385

Buettner, Ricardo

2017

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Analyzing the Problem of Employee Internal Social Network Site Avoidance: Are Users Resistant due to Their Privacy Concerns?

2015 48th Hawaii International Conference on System Sciences, 2015, p.1819-1828

Buettner, Ricardo

2015

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IEEE_Xplore

Predicting user behavior in electronic markets based on personality-mining in large online social networks: A personality-based product recommender framework

Electronic markets, 2017-08, Vol.27 (3), p.247-265

Buettner, Ricardo

2017

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Getting a job via career-oriented social networking markets

Electronic markets, 2017-11, Vol.27 (4), p.371-385

Buettner, Ricardo

2017

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Designing a Randomized Trial with an Age Simulation Suit-Representing People with Health Impairments

Healthcare (Basel), 2020-12, Vol.9 (1), p.27

2020

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A deep learning-based model for defect detection in laser-powder bed fusion using in-situ thermographic monitoring

Progress in additive manufacturing, 2020-09, Vol.5 (3), p.277-285

2020

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A Systematic Literature Review of Twitter Research from a Socio-Political Revolution Perspective

2016 49th Hawaii International Conference on System Sciences (HICSS), 2016, p.2206-2215

2016

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IEEE_Xplore

A Framework for Recommender Systems in Online Social Network Recruiting: An Interdisciplinary Call to Arms

2014 47th Hawaii International Conference on System Sciences, 2014, p.1415-1424

Buettner, Ricardo

2014

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Cognitive Workload of Humans Using Artificial Intelligence Systems: Towards Objective Measurement Applying Eye-Tracking Technology

KI 2013: Advances in Artificial Intelligence, p.37-48

Buettner, Ricardo

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Mindful in a random forest: Assessing the validity of mindfulness items using random forests methods

Personality and individual differences, 2015-07, Vol.81, p.117-123

2015

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Towards Ex Ante Prediction of User Performance: A Novel NeuroIS Methodology Based on Real-Time Measurement of Mental Effort

2015 48th Hawaii International Conference on System Sciences, 2015, p.533-542

2015

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IEEE_Xplore

Machine learning-based mass density model for hard magnetic 14:2:1 phases using chemical composition-based features

Chemical physics letters, 2023-01, Vol.811, p.140231, Article 140231

2023

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Topic trends in sustainability disclosure of German DAX 40 companies - A text mining-based analysis

IEEE access, 2024-05, p.1-1

2024

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A Literature Review on the Impact of Modern Technologies on Management Reporting

Procedia computer science, 2022, Vol.207, p.907-915

2022

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The Impact of Trust in Consumer Protection on Internet Shopping Behavior: An Empirical Study using a Large Official Dataset from the European Union

2020 IEEE Sixth International Conference on Big Data Computing Service and Applications (BigDataService), 2020, p.66-69

Buettner, Ricardo

2020

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Mindful Machine Learning: Using Machine Learning Algorithms to Predict the Practice of Mindfulness

European journal of psychological assessment : official organ of the European Association of Psychological Assessment, 2018, Vol.34 (1), p.6-13

2018

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Demonstration of the potential of white-box machine learning approaches to gain insights from cardiovascular disease electrocardiograms

A Novel Small-Data Based Approach for Decoding Yes/No-Decisions of Locked-In Patients Using Generative Adversarial Networks

Unlocking the Potential of Wind Energy with Machine Learning-Based Avian Detection: A Call to Action

A Deep Learning-Based Approach for the Detection of Infested Soybean Leaves

Benchmarking Transfer Learning Strategies in Time-Series Imaging: Recommendations for Analyzing Raw Sensor Data

Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data

A Systematic Literature Review of Crowdsourcing Research from a Human Resource Management Perspective

A Novel Hybrid Deep Learning Architecture for Dynamic Hand Gesture Recognition

Getting a Job via Career-Oriented Social Networking Sites: The Weakness of Ties

Getting a job via career-oriented social networking markets: The weakness of too many ties

Analyzing the Problem of Employee Internal Social Network Site Avoidance: Are Users Resistant due to Their Privacy Concerns?

Predicting user behavior in electronic markets based on personality-mining in large online social networks: A personality-based product recommender framework

Getting a job via career-oriented social networking markets

Designing a Randomized Trial with an Age Simulation Suit-Representing People with Health Impairments

A deep learning-based model for defect detection in laser-powder bed fusion using in-situ thermographic monitoring

A Systematic Literature Review of Twitter Research from a Socio-Political Revolution Perspective

A Framework for Recommender Systems in Online Social Network Recruiting: An Interdisciplinary Call to Arms

Cognitive Workload of Humans Using Artificial Intelligence Systems: Towards Objective Measurement Applying Eye-Tracking Technology

Mindful in a random forest: Assessing the validity of mindfulness items using random forests methods

Towards Ex Ante Prediction of User Performance: A Novel NeuroIS Methodology Based on Real-Time Measurement of Mental Effort

Machine learning-based mass density model for hard magnetic 14:2:1 phases using chemical composition-based features

Topic trends in sustainability disclosure of German DAX 40 companies - A text mining-based analysis

A Literature Review on the Impact of Modern Technologies on Management Reporting

The Impact of Trust in Consumer Protection on Internet Shopping Behavior: An Empirical Study using a Large Official Dataset from the European Union

Mindful Machine Learning: Using Machine Learning Algorithms to Predict the Practice of Mindfulness

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