Ricardo Buettner
Orcid: 0000-0003-2263-6408
According to our database1,
Ricardo Buettner
authored at least 103 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on linkedin.com
-
on viaf.org
-
on twitter.com
-
on d-nb.info
-
on fom-blog.de
On csauthors.net:
Bibliography
2024
IEEE Access, 2024
2023
Unlocking the Potential of Wind Energy With Machine Learning-Based Avian Detection: A Call to Action.
IEEE Access, 2023
A Novel Small-Data Based Approach for Decoding Yes/No-Decisions of Locked-In Patients Using Generative Adversarial Networks.
IEEE Access, 2023
IEEE Access, 2023
IEEE Access, 2023
Subject-Independent Detection of Yes/No Decisions Using EEG Recordings During Motor Imagery Tasks: A Novel Machine-Learning Approach with Fine-Graded EEG Spectrum.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023
Machine Learning-Based Power Consumption Prediction for Unmanned Aerial Vehicles in Dynamic Environments.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023
2022
Benchmarking Transfer Learning Strategies in Time-Series Imaging: Recommendations for Analyzing Raw Sensor Data.
IEEE Access, 2022
Current Developments in Management Reporting - A Systematic Literature Review focusing on Digitization and Role Changes.
Proceedings of the 26th Pacific Asia Conference on Information Systems, 2022
Artificial Intelligence for Industry 4.0: Automated In-Line Quality Control of Electrical Cable Ends Based on Convolutional Neural Networks.
Proceedings of the 26th Pacific Asia Conference on Information Systems, 2022
A Deep Learning-Based Cyber-Physical System for the Detection of Defective Capsules Using a Transfer Learning Strategy.
Proceedings of the 26th Pacific Asia Conference on Information Systems, 2022
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022
High-Performance Fake Voice Detection on Automatic Speaker Verification Systems for the Prevention of Cyber Fraud with Convolutional Neural Networks.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
Automated Defect Detection of Screws in the Manufacturing Industry Using Convolutional Neural Networks.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
A Deep Learning-Based Model for Automated Quality Control in the Pharmaceutical Industry.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
A Systematic Literature Review of Machine Learning Applications for Process Monitoring and Control in Semiconductor Manufacturing.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
A Systematic Literature Review of Virtual and Augmented Reality Applications for Maintenance in Manufacturing.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
A Systematic Literature Review of Machine Learning Approaches for Detecting Events and Disturbances in Smart Grid Systems.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
A Systematic Literature Review of Machine Learning Approaches for Optimization in Additive Manufacturing.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
A Systematic Literature Review of Deep Learning Approaches in Smart Meter Data Analytics.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
A Systematic Literature Review of Current IoT-Based Approaches for Improving Sustainable Public Transportation in Smart Cities.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
Proceedings of the 28th Americas Conference on Information Systems, 2022
2021
Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks.
CoRR, 2021
Automatic Diagnosis of Intellectual and Developmental Disorder Using Machine Learning Based on Resting-State EEG Recordings.
Proceedings of the 17th International Conference on Wireless and Mobile Computing, 2021
Machine Learning-Based Detection of High Trait Anxiety Using Frontal Asymmetry Characteristics in Resting-State EEG Recordings.
Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021
Classifying High and Low Self-Esteem using a Novel Machine Learning Method based on EEG Data.
Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021
A Novel Machine Learning Approach to Working Memory Evaluation Using Resting-State EEG Data.
Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021
Detection of Schizophrenia Using Machine Learning on the Five Most Predictive EEG-Channels.
Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
One Single Click is enough - an Empirical Study on Human Threats in Family Firm Cyber Security.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021
High-Performance Detection of Corneal Ulceration Using Image Classification with Convolutional Neural Networks.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021
Detection of schizophrenia: A machine learning algorithm for potential early detection and prevention based on event-related potentials.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021
Machine Learning Based Diagnostics of Developmental Coordination Disorder using Electroencephalographic Data.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021
Machine Learning Based Differentiation Between High and Low Self-Discipline Using EEG Data.
Proceedings of the 29th European Conference on Information Systems, 2021
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021
Vision-based Hand Gesture Recognition for Human-Computer Interaction using MobileNetV2.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021
Comparison of deep learning methods for image deblurring on light optical materials microscopy data.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021
A Systematic Literature Review of Data Privacy Solutions for Smart Meter Technologies.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Early Detection of Alcohol Use Disorder Based on a Novel Machine Learning Approach Using EEG Data.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
A Systematic Literature Review of Machine Learning Tools for Supporting Supply Chain Management in the Manufacturing Environment.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
A Systematic Literature Review on Machine Learning Approaches for Quality Monitoring and Control Systems for Welding Processes.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
High-Performance Detection of Mild Cognitive Impairment Using Resting-State EEG Signals Located in Broca's Area: A Machine Learning Approach.
Proceedings of the 27th Americas Conference on Information Systems, 2021
Multi-Class Emotion Recognition within the Valence-Arousal-Dominance Space Using EEG.
Proceedings of the 27th Americas Conference on Information Systems, 2021
2020
Proceedings of the Entwicklungen, 2020
Proceedings of the 24th Pacific Asia Conference on Information Systems, 2020
Measuring Social Desirability Using a Novel Machine Learning Approach Based on EEG Data.
Proceedings of the 24th Pacific Asia Conference on Information Systems, 2020
Detecting Antisocial Personality Disorder Using a Novel Machine Learning Algorithm Based on Electroencephalographic Data.
Proceedings of the 24th Pacific Asia Conference on Information Systems, 2020
High-performance Diagnosis of Sleep Disorders: A Novel, Accurate and Fast Machine Learning Approach Using Electroencephalographic Data.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020
Development of a Machine Learning Based Algorithm To Accurately Detect Schizophrenia based on One-minute EEG Recordings.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020
Development of a Highly Precise Place Recognition Module for Effective Human-robot Interactions in Changing Lighting and Viewpoint Conditions.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020
A Systematic Literature Review of Practical Virtual and Augmented Reality Solutions in Surgery.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020
A Systematic Literature Review of Medical Chatbot Research from a Behavior Change Perspective.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020
A Systematic Literature Review of Research in the Surgical Field of Medical Robotics.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020
A Systematic Literature Review of Machine Learning-Based Disease Profiling and Personalized Treatment.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020
Internet Gaming more than 3 Hours a Day is Indicative and more than 5 Hours is Diagnostic: Proposal of Playing Time Cutoffs for WHO-11 and DSM-5 Internet Gaming Disorder Based on a Large Steam Platform Dataset.
Proceedings of the 6th IEEE International Conference on Big Data Computing Service and Applications, 2020
The Impact of Trust in Consumer Protection on Internet Shopping Behavior: An Empirical Study using a Large Official Dataset from the European Union.
Proceedings of the 6th IEEE International Conference on Big Data Computing Service and Applications, 2020
A Novel Machine Learning Approach for High-Performance Diagnosis of Premature Internet Addiction Using the Unfolded EEG Spectra.
Proceedings of the 26th Americas Conference on Information Systems, 2020
Detection of Excessive Daytime Sleepiness in Resting-State EEG Recordings: A Novel Machine Learning Approach Using Specific EEG Sub-Bands and Channels.
Proceedings of the 26th Americas Conference on Information Systems, 2020
Two-Level Classification of Chronic Stress Using Machine Learning on Resting-State EEG Recordings.
Proceedings of the 26th Americas Conference on Information Systems, 2020
2019
High-performance detection of epilepsy in seizure-free EEG recordings: A novel machine learning approach using very specific epileptic EEG sub-bands.
Proceedings of the 40th International Conference on Information Systems, 2019
High-performance detection of alcoholism by unfolding the amalgamated EEG spectra using the Random Forests method.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019
A Highly Effective Deep Learning Based Escape Route Recognition Module for Autonomous Robots in Crisis and Emergency Situations.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019
Proceedings of the 2019 IEEE International Conference on E-health Networking, 2019
High-performance exclusion of schizophrenia using a novel machine learning method on EEG data.
Proceedings of the 2019 IEEE International Conference on E-health Networking, 2019
Towards high-performance differentiation between Narcolepsy and Idiopathic Hypersomnia in 10 minute EEG recordings using a Novel Machine Learning Approach.
Proceedings of the 2019 IEEE International Conference on E-health Networking, 2019
2018
Real-time Prediction of User Performance based on Pupillary Assessment via Eye Tracking.
AIS Trans. Hum. Comput. Interact., 2018
Hardcore Gamer Profiling: Results from an unsupervised learning approach to playing behavior on the Steam platform.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018
Robust User Identification Based on Facial Action Units Unaffected by Users' Emotions.
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018
2017
Getting a job via career-oriented social networking markets - The weakness of too many ties.
Electron. Mark., 2017
Predicting user behavior in electronic markets based on personality-mining in large online social networks - A personality-based product recommender framework.
Electron. Mark., 2017
Asking both the User's Brain and its Owner using Subjective and Objective Psychophysiological NeuroIS Instruments.
Proceedings of the International Conference on Information Systems, 2017
2016
Proceedings of the 20th Pacific Asia Conference on Information Systems, 2016
Personality as a predictor of Business Social Media Usage: an Empirical Investigation of Xing Usage Patterns.
Proceedings of the 20th Pacific Asia Conference on Information Systems, 2016
A User's Cognitive Workload Perspective in Negotiation Support Systems: an eye-tracking Experiment.
Proceedings of the 20th Pacific Asia Conference on Information Systems, 2016
A Systematic Literature Review of Twitter Research from a Socio-Political Revolution Perspective.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016
Proceedings of the 46. Jahrestagung der Gesellschaft für Informatik, 2016
2015
Towards Ex Ante Prediction of User Performance: A Novel NeuroIS Methodology Based on Real-Time Measurement of Mental Effort.
Proceedings of the 48th Hawaii International Conference on System Sciences, 2015
A Systematic Literature Review of Crowdsourcing Research from a Human Resource Management Perspective.
Proceedings of the 48th Hawaii International Conference on System Sciences, 2015
Analyzing the Problem of Employee Internal Social Network Site Avoidance: Are Users Resistant due to Their Privacy Concerns?
Proceedings of the 48th Hawaii International Conference on System Sciences, 2015
Proceedings of the 45. Jahrestagung der Gesellschaft für Informatik, Informatik, Energie und Umwelt, INFORMATIK 2015, Cottbus, Germany, September 28, 2015
Towards a New Personal Information Technology Acceptance Model: Conceptualization and Empirical Evidence from a Bring Your Own Device Dataset.
Proceedings of the 21st Americas Conference on Information Systems, 2015
2014
A Framework for Recommender Systems in Online Social Network Recruiting: An Interdisciplinary Call to Arms.
Proceedings of the 47th Hawaii International Conference on System Sciences, 2014
2013
Cognitive Workload of Humans Using Artificial Intelligence Systems: Towards Objective Measurement Applying Eye-Tracking Technology.
Proceedings of the KI 2013: Advances in Artificial Intelligence, 2013
Objective measures of IS usage behavior under conditions of experience and pressure using eye fixation data.
Proceedings of the International Conference on Information Systems, 2013
User Acceptance in Different Electronic Negotiation Systems - A Comparative Approach.
Proceedings of the IEEE 10th International Conference on e-Business Engineering, 2013
Proceedings of the 43. Jahrestagung der Gesellschaft für Informatik, 2013
Social Inclusion in E-Participation and E-Government Solutions: A Systematic Laboratory-experimental Approach Using Objective Psychophysiological Measures.
Proceedings of the Electronic Government and Electronic Participation: Joint Proceedings of Ongoing Research of IFIP EGOV and IFIP ePart 2013, 2013
2012
The Influence of Pressure to Perform and Experience on Changing Perceptions and User Performance: A Multi-Method Experimental Analysis.
Proceedings of the International Conference on Information Systems, 2012
Proceedings of the 57. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie, 42. Jahrestagung der Gesellschaft für Informatik, Was bewegt uns in der/die Zukunft?, 2012
Proceedings of the E-Commerce and Web Technologies - 13th International Conference, 2012
2011
Mitarbeiterportale: Eine personalorientierte Literaturanalyse zur sinnvollen Erweiterung des Funktionsumfangs.
Proceedings of the 41. Jahrestagung der Gesellschaft für Informatik, 2011
Automatisiertes Headhunting im Web 2.0: Zum Einsatz intelligenter Softwareagenten als Headhunting-Robots.
Proceedings of the 41. Jahrestagung der Gesellschaft für Informatik, 2011
2010
Förderung der elektronischen Marktfähigkeit von Dienstleistungen und hybriden Angeboten in Produkt-Service Systemen.
Proceedings of the 40. Jahrestagung der Gesellschaft für Informatik, Service Science - Neue Perspektiven für die Informatik, INFORMATIK 2010, Leipzig, Germany, September 27, 2010
2009
Proceedings of the Bioinspired Models of Network, Information, and Computing Systems, 2009
2008
Proceedings of the E-Commerce and Web Technologies, 9th International Conference, 2008
2006
The State of the Art in Automated Negotiation Models of the Behavior and Information Perspective.
Int. Trans. Syst. Sci. Appl., 2006
Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006