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2020 – today
- 2024
[j12]David Richard Tom Hax
, Pascal Penava, Samira Krodel, Liliya Razova, Ricardo Buettner:
A Novel Hybrid Deep Learning Architecture for Dynamic Hand Gesture Recognition. IEEE Access 12: 28761-28774 (2024)- [j11]Tobias Contala, Alexander-Michael Gerk, Johannes Hoettler, Ricardo Buettner:
Topic Trends in Sustainability Disclosure of German DAX 40 Companies - A Text Mining-Based Analysis. IEEE Access 12: 77300-77335 (2024) - 2023
- [j10]Niklas Braig, Alina Benz, Soeren Voth, Johannes Breitenbach, Ricardo Buettner:
Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data. IEEE Access 11: 14778-14803 (2023) - [j9]Marc Principato, Lisa Hasselwander, Michael Stangner, Ricardo Buettner:
Unlocking the Potential of Wind Energy With Machine Learning-Based Avian Detection: A Call to Action. IEEE Access 11: 64026-64048 (2023) - [j8]Niklas Farah, Nicolas Drack, Hannah Dawel, Ricardo Buettner:
A Deep Learning-Based Approach for the Detection of Infested Soybean Leaves. IEEE Access 11: 99670-99679 (2023) - [j7]Pascal Penava, Ricardo Buettner:
A Novel Small-Data Based Approach for Decoding Yes/No-Decisions of Locked-In Patients Using Generative Adversarial Networks. IEEE Access 11: 118849-118864 (2023) - [c91]Pascal Penava, Marie-Louise Brozat, Yara Zimmermann, Johannes Breitenbach, Patrick Ulrich, Ricardo Buettner:
Subject-Independent Detection of Yes/No Decisions Using EEG Recordings During Motor Imagery Tasks: A Novel Machine-Learning Approach with Fine-Graded EEG Spectrum. HICSS 2023: 4057-4066 - [c90]Julian Gatscher, Johannes Breitenbach, Ricardo Buettner:
Machine Learning-Based Power Consumption Prediction for Unmanned Aerial Vehicles in Dynamic Environments. HICSS 2023: 6924-6933 - 2022
- [j6]Jan Gross, Ricardo Buettner, Hermann Baumgartl:
Benchmarking Transfer Learning Strategies in Time-Series Imaging: Recommendations for Analyzing Raw Sensor Data. IEEE Access 10: 16977-16991 (2022) - [c89]Johannes Breitenbach, Daniel Eisenhardt, Thilo Rieg, Hermann Baumgartl, Patrick Sven Ulrich, Ingo J. Timm, Ricardo Buettner:
Machine Learning-Based Health Behavior Prediction Using Resting-State EEG Data. AMCIS 2022 - [c88]Dominik Raab, Eric Fezer, Johannes Breitenbach, Hermann Baumgartl, Daniel Sauter, Ricardo Buettner:
A Deep Learning-Based Model for Automated Quality Control in the Pharmaceutical Industry. COMPSAC 2022: 266-271 - [c87]Ricardo Buettner, Johannes Breitenbach, Kai Wannenwetsch, Isabel Ostermann, Rene Priel:
A Systematic Literature Review of Virtual and Augmented Reality Applications for Maintenance in Manufacturing. COMPSAC 2022: 545-552 - [c86]Tobias Gentner, Johannes Breitenbach, Timon Neitzel, Jacob Schulze, Ricardo Buettner:
A Systematic Literature Review of Machine Learning Applications for Process Monitoring and Control in Semiconductor Manufacturing. COMPSAC 2022: 1081-1086 - [c85]Johannes Breitenbach, Friedrich Seidenspinner, Furkan Vural, Philipp Beisswanger, Ricardo Buettner:
A Systematic Literature Review of Machine Learning Approaches for Optimization in Additive Manufacturing. COMPSAC 2022: 1147-1152 - [c84]Johannes Breitenbach, Jan Gross, Manuel Wengert, James Anurathan, Rico Bitsch, Zafer Kosar, Emre Tuelue, Ricardo Buettner:
A Systematic Literature Review of Deep Learning Approaches in Smart Meter Data Analytics. COMPSAC 2022: 1337-1342 - [c83]Johannes Breitenbach, Jan Gross, Daniel Dittrich, Pauline Neumann, Alexander Schilling, Esra Zaman, Ricardo Buettner:
A Systematic Literature Review of Current IoT-Based Approaches for Improving Sustainable Public Transportation in Smart Cities. COMPSAC 2022: 1690-1695 - [c82]Ricardo Buettner, Johannes Breitenbach, Jan Gross, Isabell Krueger, Hari Gouromichos, Marvin Listl, Louis Leicht, Thorsten Klier:
A Systematic Literature Review of Machine Learning Approaches for Detecting Events and Disturbances in Smart Grid Systems. COMPSAC 2022: 1786-1791 - [c81]Johannes Breitenbach, Isabelle Eckert, Vanessa Mahal, Hermann Baumgartl, Ricardo Buettner:
Automated Defect Detection of Screws in the Manufacturing Industry Using Convolutional Neural Networks. HICSS 2022: 1-10 - [c80]Ricardo Buettner, Jan Gross, Philipp Roessler, Julia Winter, Daniel Sauter, Hermann Baumgartl, Patrick Ulrich:
High-Performance Fake Voice Detection on Automatic Speaker Verification Systems for the Prevention of Cyber Fraud with Convolutional Neural Networks. HICSS 2022: 1-10 - [c79]Patrick Ulrich, Vanessa Frank, Ricardo Büttner, Wolfgang Becker:
A Literature Review on the Impact of Modern Technologies on Management Reporting. KES 2022: 907-915 - [c78]Johannes Breitenbach, Jan Gross, Hermann Baumgartl, Patrick Sven Ulrich, Ricardo Buettner:
Artificial Intelligence for Industry 4.0: Automated In-Line Quality Control of Electrical Cable Ends Based on Convolutional Neural Networks. PACIS 2022: 282 - [c77]Johannes Breitenbach, Jan Gross, Ricardo Buettner, Hermann Baumgartl, Samuel Bayerlein, Dennis Flathau, Daniel Sauter:
A Deep Learning-Based Cyber-Physical System for the Detection of Defective Capsules Using a Transfer Learning Strategy. PACIS 2022: 287 - [c76]Vanessa Frank, Patrick Sven Ulrich, Ricardo Buettner, Wolfgang Becker:
Current Developments in Management Reporting - A Systematic Literature Review focusing on Digitization and Role Changes. PACIS 2022: 332 - 2021
- [c75]Marvin Gaertner, Daniel Sauter, Hermann Baumgartl, Thilo Rieg, Ricardo Buettner:
Multi-Class Emotion Recognition within the Valence-Arousal-Dominance Space Using EEG. AMCIS 2021 - [c74]Jan Gross, Niklas Groiss, Thilo Rieg, Hermann Baumgartl, Ricardo Buettner:
High-Performance Detection of Mild Cognitive Impairment Using Resting-State EEG Signals Located in Broca's Area: A Machine Learning Approach. AMCIS 2021 - [c73]Johannes Breitenbach, Tim Dauser, Hendrik Illenberger, Marius Traub, Ricardo Buettner:
A Systematic Literature Review on Machine Learning Approaches for Quality Monitoring and Control Systems for Welding Processes. IEEE BigData 2021: 2019-2025 - [c72]Johannes Breitenbach, Sara Haileselassie, Christoph Schuerger, Jonas Werner, Ricardo Buettner:
A Systematic Literature Review of Machine Learning Tools for Supporting Supply Chain Management in the Manufacturing Environment. IEEE BigData 2021: 2875-2883 - [c71]Jan Gross, Johannes Breitenbach, Waldemar Granson, Daniel Japs, Ardi Reci, Aaron Koengeter, Ricardo Buettner:
A Systematic Literature Review of Data Privacy Solutions for Smart Meter Technologies. IEEE BigData 2021: 3305-3310 - [c70]Dennis Flathau, Johannes Breitenbach, Hermann Baumgartl, Ricardo Buettner:
Early Detection of Alcohol Use Disorder Based on a Novel Machine Learning Approach Using EEG Data. IEEE BigData 2021: 3897-3904 - [c69]Ricardo Buettner, Daniel Sauter, Jonas Klopfer, Johannes Breitenbach, Hermann Baumgartl:
A Review of Recent Advances in Machine Learning Approaches for Cyber Defense. IEEE BigData 2021: 3969-3974 - [c68]Patrick Krawczyk, Hermann Baumgartl, Andreas Jansche, Timo Bernthaler, Ricardo Buettner, Gerhard Schneider:
Comparison of deep learning methods for image deblurring on light optical materials microscopy data. CASE 2021: 1332-1337 - [c67]Daniel Sauter, Anna Schmitz, Fulya Dikici, Hermann Baumgartl, Ricardo Buettner:
Defect Detection of Metal Nuts Applying Convolutional Neural Networks. COMPSAC 2021: 248-257 - [c66]Daniel Sauter, Cem Atik, Christian Schenk, Ricardo Buettner, Hermann Baumgartl:
Visual Defect Detection of Metal Screws using a Deep Convolutional Neural Network. COMPSAC 2021: 303-311 - [c65]Hermann Baumgartl, Dennis Flathau, Samuel Bayerlein, Daniel Sauter, Ingo J. Timm, Ricardo Buettner:
Pain Level Assessment for Infants Using Facial Expression Scores. COMPSAC 2021: 590-598 - [c64]Hermann Baumgartl, Daniel Sauter, Christian Schenk, Cem Atik, Ricardo Buettner:
Vision-based Hand Gesture Recognition for Human-Computer Interaction using MobileNetV2. COMPSAC 2021: 1667-1674 - [c63]Daniel Sauter, Lars Butz, Ricardo Buettner:
Machine Learning Based Differentiation Between High and Low Self-Discipline Using EEG Data. ECIS 2021 - [c62]Ricardo Buettner, Michael Buechele, Benedikt Grimmeisen, Patrick Ulrich:
Machine Learning Based Diagnostics of Developmental Coordination Disorder using Electroencephalographic Data. HICSS 2021: 1-10 - [c61]Janek Frick, Thilo Rieg, Ricardo Buettner:
Detection of schizophrenia: A machine learning algorithm for potential early detection and prevention based on event-related potentials. HICSS 2021: 1-10 - [c60]Jan Gross, Johannes Breitenbach, Hermann Baumgartl, Ricardo Buettner:
High-Performance Detection of Corneal Ulceration Using Image Classification with Convolutional Neural Networks. HICSS 2021: 1-10 - [c59]Patrick Ulrich, Vanessa Frank, Ricardo Buettner:
One Single Click is enough - an Empirical Study on Human Threats in Family Firm Cyber Security. HICSS 2021: 1-9 - [c58]Marco Klaiber, Daniel Sauter, Hermann Baumgartl, Ricardo Buettner:
A Systematic Literature Review on Transfer Learning for 3D-CNNs. IJCNN 2021: 1-10 - [c57]Jan Gross, Filmon Mesgun, Janek Frick, Hermann Baumgartl, Ricardo Buettner:
Machine Learning-Based Detection of High Trait Anxiety Using Frontal Asymmetry Characteristics in Resting-State EEG Recordings. PACIS 2021: 34 - [c56]Hermann Baumgartl, Stefanie Scholtz, Daniel Sauter, Ricardo Buettner:
Detection of Schizophrenia Using Machine Learning on the Five Most Predictive EEG-Channels. PACIS 2021: 38 - [c55]Ricardo Buettner, Daniel Sauter, Isabelle Eckert, Hermann Baumgartl:
Classifying High and Low Self-Esteem using a Novel Machine Learning Method based on EEG Data. PACIS 2021: 39 - [c54]Johannes Breitenbach, Alpay Uzun, Thilo Rieg, Hermann Baumgartl, Ricardo Buettner:
A Novel Machine Learning Approach to Working Memory Evaluation Using Resting-State EEG Data. PACIS 2021: 42 - [c53]Johannes Breitenbach, Dominik Raab, Eric Fezer, Daniel Sauter, Hermann Baumgartl, Ricardo Buettner:
Automatic Diagnosis of Intellectual and Developmental Disorder Using Machine Learning Based on Resting-State EEG Recordings. WiMob 2021: 7-12 - [i1]Hermann Baumgartl, Ricardo Buettner:
Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks. CoRR abs/2107.11187 (2021) - 2020
- [c52]Hermann Baumgartl, Eric Fezer, Ricardo Buettner:
Two-Level Classification of Chronic Stress Using Machine Learning on Resting-State EEG Recordings. AMCIS 2020 - [c51]Johannes Breitenbach, Hermann Baumgartl, Ricardo Buettner:
Detection of Excessive Daytime Sleepiness in Resting-State EEG Recordings: A Novel Machine Learning Approach Using Specific EEG Sub-Bands and Channels. AMCIS 2020 - [c50]Jan Gross, Hermann Baumgartl, Ricardo Buettner:
A Novel Machine Learning Approach for High-Performance Diagnosis of Premature Internet Addiction Using the Unfolded EEG Spectra. AMCIS 2020 - [c49]Ricardo Buettner:
The Impact of Trust in Consumer Protection on Internet Shopping Behavior: An Empirical Study using a Large Official Dataset from the European Union. BigDataService 2020: 66-69 - [c48]Ricardo Buettner, Martin Blattner, Willi Reinhardt:
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. BigDataService 2020: 189-192 - [c47]Jonas Roessel, Moritz Knoell, Jannic Hofmann, Ricardo Buettner:
A Systematic Literature Review of Practical Virtual and Augmented Reality Solutions in Surgery. COMPSAC 2020: 489-498 - [c46]Ricardo Buettner, Alena Renner, Anna Boos:
A Systematic Literature Review of Research in the Surgical Field of Medical Robotics. COMPSAC 2020: 517-522 - [c45]Ricardo Buettner, Kai Wannenwetsch, Daniel Loskan:
A Systematic Literature Review of Computer Support for Surgical Interventions. COMPSAC 2020: 729-734 - [c44]Tobias Gentner, Timon Neitzel, Jacob Schulze, Ricardo Buettner:
A Systematic Literature Review of Medical Chatbot Research from a Behavior Change Perspective. COMPSAC 2020: 735-740 - [c43]Ricardo Buettner, Florian Klenk, Marc Ebert:
A Systematic Literature Review of Machine Learning-Based Disease Profiling and Personalized Treatment. COMPSAC 2020: 1673-1678 - [c42]Hermann Baumgartl, Ricardo Buettner:
Development of a Highly Precise Place Recognition Module for Effective Human-robot Interactions in Changing Lighting and Viewpoint Conditions. HICSS 2020: 1-10 - [c41]Ricardo Buettner, David Beil, Stefanie Scholtz, Aadel Djemai:
Development of a Machine Learning Based Algorithm To Accurately Detect Schizophrenia based on One-minute EEG Recordings. HICSS 2020: 1-10 - [c40]Ricardo Buettner, Annika Grimmeisen, Anne Gotschlich:
High-performance Diagnosis of Sleep Disorders: A Novel, Accurate and Fast Machine Learning Approach Using Electroencephalographic Data. HICSS 2020: 1-10 - [c39]Hermann Baumgartl, Fulya Dikici, Daniel Sauter, Ricardo Buettner:
Detecting Antisocial Personality Disorder Using a Novel Machine Learning Algorithm Based on Electroencephalographic Data. PACIS 2020: 48 - [c38]Dominik Raab, Hermann Baumgartl, Ricardo Buettner:
Machine Learning Based Diagnosis of Binge Eating Disorder Using EEG Recordings. PACIS 2020: 97 - [c37]Hermann Baumgartl, Philipp Roessler, Daniel Sauter, Ricardo Buettner:
Measuring Social Desirability Using a Novel Machine Learning Approach Based on EEG Data. PACIS 2020: 100 - [c36]Stephanie C. Rodermund, Ingo J. Timm, Ricardo Buettner:
Towards Simulation-Based Preplanning for Experimental Analysis of Nudging. Wirtschaftsinformatik (Zentrale Tracks) 2020: 1219-1233
2010 – 2019
- 2019
- [c35]Ricardo Buettner, Jessica Fuhrmann, Laura Kolb:
Towards high-performance differentiation between Narcolepsy and Idiopathic Hypersomnia in 10 minute EEG recordings using a Novel Machine Learning Approach. HealthCom 2019: 1-7 - [c34]Ricardo Buettner, Michael Hirschmiller, Kevin Schlosser, Manfred Rössle, Marc Fernandes, Ingo J. Timm:
High-performance exclusion of schizophrenia using a novel machine learning method on EEG data. HealthCom 2019: 1-6 - [c33]Ricardo Buettner, Marc Schunter:
Efficient machine learning based detection of heart disease. HealthCom 2019: 1-6 - [c32]Ricardo Buettner, Hermann Baumgartl:
A Highly Effective Deep Learning Based Escape Route Recognition Module for Autonomous Robots in Crisis and Emergency Situations. HICSS 2019: 1-8 - [c31]Thilo Rieg, Janek Frick, Marius Hitzler, Ricardo Buettner:
High-performance detection of alcoholism by unfolding the amalgamated EEG spectra using the Random Forests method. HICSS 2019: 1-9 - [c30]Ricardo Buettner, Janek Frick, Thilo Rieg:
High-performance detection of epilepsy in seizure-free EEG recordings: A novel machine learning approach using very specific epileptic EEG sub-bands. ICIS 2019 - 2018
- [j5]Ricardo Buettner, Sebastian Sauer, Christian Maier, Andreas Eckhardt:
Real-time Prediction of User Performance based on Pupillary Assessment via Eye Tracking. AIS Trans. Hum. Comput. Interact. 10(1): 2 (2018) - [c29]Ricardo Buettner:
Robust User Identification Based on Facial Action Units Unaffected by Users' Emotions. HICSS 2018: 1-9 - [c28]Florian Baumann, Dominik Emmert, Hermann Baumgartl, Ricardo Buettner:
Hardcore Gamer Profiling: Results from an unsupervised learning approach to playing behavior on the Steam platform. KES 2018: 1289-1297 - 2017
- [j4]Ricardo Buettner:
Predicting user behavior in electronic markets based on personality-mining in large online social networks - A personality-based product recommender framework. Electron. Mark. 27(3): 247-265 (2017) - [j3]Ricardo Buettner:
Getting a job via career-oriented social networking markets - The weakness of too many ties. Electron. Mark. 27(4): 371-385 (2017) - [j2]Gerhard Weber, Rainer Stiefelhagen, Ricardo Büttner, René Reiners, Steffen Puhl, Henning Lübbecke:
Accessibility Beyond the Desktop. Inform. Spektrum 40(6): 499-500 (2017) - [c27]Ricardo Buettner:
Asking both the User's Brain and its Owner using Subjective and Objective Psychophysiological NeuroIS Instruments. ICIS 2017 - 2016
- [c26]Kathrin Schwinghammer, Ricardo Buettner:
Industrie 4.0-Readiness: Eine empirische Fallstudie in der Automobilproduktion. GI-Jahrestagung 2016: 1445-1457 - [c25]Ricardo Buettner:
Getting a Job via Career-Oriented Social Networking Sites: The Weakness of Ties. HICSS 2016: 2156-2165 - [c24]Ricardo Buettner, Katharina Buettner:
A Systematic Literature Review of Twitter Research from a Socio-Political Revolution Perspective. HICSS 2016: 2206-2215 - [c23]Ricardo Buettner:
A User's Cognitive Workload Perspective in Negotiation Support Systems: an eye-tracking Experiment. PACIS 2016: 115 - [c22]Ricardo Buettner:
Personality as a predictor of Business Social Media Usage: an Empirical Investigation of Xing Usage Patterns. PACIS 2016: 163 - [c21]Ricardo Buettner:
Innovative Personality-based Digital Services. PACIS 2016: 278 - 2015
- [c20]Ricardo Buettner:
Towards a New Personal Information Technology Acceptance Model: Conceptualization and Empirical Evidence from a Bring Your Own Device Dataset. AMCIS 2015 - [c19]Ricardo Buettner:
Inklusion in Social Media: Die Perspektive der Betroffenen. GI-Jahrestagung 2015: 1349-1360 - [c18]Ricardo Buettner, Sebastian Sauer, Christian Maier, Andreas Eckhardt:
Towards Ex Ante Prediction of User Performance: A Novel NeuroIS Methodology Based on Real-Time Measurement of Mental Effort. HICSS 2015: 533-542 - [c17]Ricardo Buettner:
Analyzing the Problem of Employee Internal Social Network Site Avoidance: Are Users Resistant due to Their Privacy Concerns? HICSS 2015: 1819-1828 - [c16]Ricardo Buettner:
A Systematic Literature Review of Crowdsourcing Research from a Human Resource Management Perspective. HICSS 2015: 4609-4618 - 2014
- [c15]Ricardo Buettner:
A Framework for Recommender Systems in Online Social Network Recruiting: An Interdisciplinary Call to Arms. HICSS 2014: 1415-1424 - 2013
- [c14]Ricardo Buettner:
Social Inclusion in E-Participation and E-Government Solutions: A Systematic Laboratory-experimental Approach Using Objective Psychophysiological Measures. EGOV/ePart Ongoing Research 2013: 260-261 - [c13]Ricardo Buettner:
The utilization of Twitter in lectures. GI-Jahrestagung 2013: 244-254 - [c12]Ricardo Buettner, Barbara Daxenberger, Christian Woesle:
User Acceptance in Different Electronic Negotiation Systems - A Comparative Approach. ICEBE 2013: 1-8 - [c11]Andreas Eckhardt, Christian Maier, JJ Po-An Hsieh, Tim Chuk, Antoni B. Chan, Janet H. Hsiao, Ricardo Buettner:
Objective measures of IS usage behavior under conditions of experience and pressure using eye fixation data. ICIS 2013 - [c10]Ricardo Buettner:
Cognitive Workload of Humans Using Artificial Intelligence Systems: Towards Objective Measurement Applying Eye-Tracking Technology. KI 2013: 37-48 - 2012
- [c9]Jürgen Landes, Ricardo Buettner:
Argumentation-Based Negotiation? Negotiation-Based Argumentation! EC-Web 2012: 149-162 - [c8]Daniel Funk, Ricardo Buettner, Christoph Süss, Nicolas Henning, Andreas Tulzer:
Vergleich von Geschäftsmodellen sozialer Netzwerke. GI-Jahrestagung 2012: 67-80 - [c7]Andreas Eckhardt, Christian Maier, Ricardo Buettner:
The Influence of Pressure to Perform and Experience on Changing Perceptions and User Performance: A Multi-Method Experimental Analysis. ICIS 2012 - 2011
- [c6]Ricardo Buettner:
Automatisiertes Headhunting im Web 2.0: Zum Einsatz intelligenter Softwareagenten als Headhunting-Robots. GI-Jahrestagung 2011: 139 - [c5]Christian Woesle, Norbert Moenks, Ricardo Buettner:
Mitarbeiterportale: Eine personalorientierte Literaturanalyse zur sinnvollen Erweiterung des Funktionsumfangs. GI-Jahrestagung 2011: 288 - 2010
- [c4]Ricardo Buettner:
Förderung der elektronischen Marktfähigkeit von Dienstleistungen und hybriden Angeboten in Produkt-Service Systemen. GI Jahrestagung (1) 2010: 665-674
2000 – 2009
- 2009
- [c3]Ricardo Buettner:
Cooperation in Hunting and Food-Sharing: A Two-Player Bio-inspired Trust Model. BIONETICS 2009: 1-10 - 2008
- [c2]Ricardo Buettner, Stefan Kirn:
Bargaining Power in Electronic Negotiations: A Bilateral Negotiation Mechanism. EC-Web 2008: 92-101 - 2006
- [j1]Ricardo Buettner:
The State of the Art in Automated Negotiation Models of the Behavior and Information Perspective. Int. Trans. Syst. Sci. Appl. 1(4): 351-356 (2006) - [c1]Ricardo Buettner:
A Classification Structure for Automated Negotiations. IAT Workshops 2006: 523-530
Coauthor Index