Ricardo Buettner

129 papers B 19C 7Misc 1Journal 39Unranked 63

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Robust Occlusion-Aware Deep Learning Architecture for Thermal Aerial Person Classification in Search-and-Rescue Missions. IEEE Access Christian Woesle, Leopold Fischer-Brandies, Ricardo Buettner
2025	J	`jnl`	A High-Performance Deep-Learning-Based Ground Penetrating Radar Classification Approach With Special Focus on Multi-Class Robustness. IEEE Access Mats Pagers, Pascal Penava, Ricardo Buettner
2025	J	`jnl`	A Novel High Performance Object Identification Approach in Care Homes Using Gaussian Preprocessing. IEEE Access Sara Auweiler, Melina Müller, Diana Puhla, Pascal Penava, Ricardo Buettner
2025	J	`jnl`	A Novel High-Performance Deep-Learning-Based Approach for the Detection of Arsenic Poisoning. IEEE Access Norbert Moenks, Pascal Penava, Ricardo Buettner
2025	J	`jnl`	A Novel Hybrid Transformer Approach for Text-Based Defect Classifications in the Construction Industry. IEEE Access Ricardo Buettner, Pascal Penava, Max Wiedemann
2025	J	`jnl`	A Novel Transformer-CNN Hybrid Deep Learning Architecture for Robust Broad-Coverage Diagnosis of Eye Diseases on Color Fundus Images. IEEE Access Celina Rieck, Christopher Mai, Luca Eisentraut, Ricardo Buettner
2025	J	`jnl`	A Systematic Literature Review of Current Machine Learning Approaches for Detecting GNSS Spoofing Attacks. IEEE Access Susan Bertram, Luca Eisentraut, Ricardo Buettner
2025	J	`jnl`	A Systematic Literature Review of Hallucinations in Large Language Models. IEEE Access Christian Woesle, Leopold Fischer-Brandies, Ricardo Buettner
2025	J	`jnl`	A Systematic Literature Review of Large Language Model Applications in Industry. IEEE Access Norbert Moenks, Pascal Penava, Ricardo Buettner
2025	J	`jnl`	A Systematic Literature Review of Machine Learning-Based Personality Trait Detection Using Electroencephalographic Data. IEEE Access Celina Rieck, Pascal Penava, Ricardo Buettner
2025	J	`jnl`	A Systematic Literature Review of the Application of Artificial Image Data for Visual Defect Detection. IEEE Access Merlin Schadt, Christopher Mai, Ricardo Buettner
2025	J	`jnl`	A Systematic Literature Review on System Dynamics. IEEE Access Justin Hoffmann, Christopher Mai, Bo Hu, Ricardo Buettner
2025	J	`jnl`	A novel subject-independent deep learning approach for user behavior prediction in electronic markets based on electroencephalographic data. Electron. Mark. Pascal Penava, Ricardo Buettner
2025	J	`jnl`	Advancements in Landmine Detection: Deep Learning-Based Analysis With Thermal Drones. IEEE Access Daniel Heuschmid, Oliver Wacker, Yannick Zimmermann, Pascal Penava, Ricardo Buettner
2025	J	`jnl`	AsphaltCrackNet: A Novel Architecture for Classifying Cracks in Asphalt Pavement. IEEE Access Leopold Fischer-Brandies, Susan Bertram, Christopher Mai, Ricardo Buettner
2025	J	`jnl`	Deep Learning-Based Detection of Tuberculosis Using a Gaussian Chest X-Ray Image Filter as a Software Lens. IEEE Access Luca Eisentraut, Christopher Mai, Johanna Hosch, Amélie Benecke, Pascal Penava, Ricardo Buettner
2025	J	`jnl`	Deep-Learning-Based Determination of Textile Properties: A Novel Triplet Architecture Approach for Classifying Cotton Content. IEEE Access Max Wiedemann, Pascal Penava, Christopher Mai, Ricardo Buettner
2025	J	`jnl`	Defect Detection in Industrial Soldering Processes Using Machine Learning: A Critical Literature Review. IEEE Access Luca Eisentraut, Johanna Hosch, Maksym Roytenberg, Amélie Benecke, Pascal Penava, Ricardo Buettner
2025	J	`jnl`	Fresh or Rotten? Enhancing Rotten Fruit Detection With Deep Learning and Gaussian Filtering. IEEE Access Leopold Fischer-Brandies, Lucas Müller, Justus Johannes Riegger, Ricardo Buettner
2025	J	`jnl`	Improvement of Deep Learning Models Using Retinal Filter: A Systematic Evaluation of the Effect of Gaussian Filtering With a Focus on Industrial Inspection Data. IEEE Access Ricardo Buettner, Christopher Mai, Pascal Penava
2025	J	`jnl`	Industrial Maturity of Machine Learning Solutions Within the Food Industry. IEEE Access Laura Gradl, Luisa Reis, Ricardo Buettner
2025	J	`jnl`	Leveraging Domain-Specific Features for High-Performance Obstacle Classification in Railway Monitoring. IEEE Access Luca Eisentraut, Merlin Schadt, Christopher Mai, Walter Koehn, Ricardo Buettner
2025	J	`jnl`	The Impact of Combining Datasets on the Robustness of Deep Learning Architectures: A Cross-Dataset Analysis. IEEE Access Ricardo Buettner, Susan Bertram, Leopold Fischer-Brandies
2025	J	`jnl`	To Combine or Not to Combine? The Influence of Combining Training Datasets on the Robustness of Deep Learning Models: An Analysis for Optical Character Recognition of Handwriting. IEEE Access Leopold Fischer-Brandies, Lucas Müller, Benjamin Rebholz, Ricardo Buettner
2024	J	`jnl`	A Novel Deep Learning-Based Approach for Defect Detection of Synthetic Leather Using Gaussian Filtering. IEEE Access Christopher Mai, Pascal Penava, Ricardo Buettner
2024	J	`jnl`	A Novel Hybrid Deep Learning Architecture for Dynamic Hand Gesture Recognition. IEEE Access David Richard Tom Hax, Pascal Penava, Samira Krodel, Liliya Razova, Ricardo Buettner
2024	J	`jnl`	Early-Stage Non-Severe Depression Detection Using a Novel Convolutional Neural Network Approach Based on Resting-State EEG Data. IEEE Access Pascal Penava, Ricardo Buettner
2024	J	`jnl`	Oracle Bone Inscription Character Recognition Based on a Novel Convolutional Neural Network Architecture. IEEE Access Christopher Mai, Pascal Penava, Ricardo Buettner
2024	J	`jnl`	Topic Trends in Sustainability Disclosure of German DAX 40 Companies - A Text Mining-Based Analysis. IEEE Access Tobias Contala, Alexander-Michael Gerk, Johannes Hoettler, Ricardo Buettner
2023	J	`jnl`	A Deep Learning-Based Approach for the Detection of Infested Soybean Leaves. IEEE Access Niklas Farah, Nicolas Drack, Hannah Dawel, Ricardo Buettner
2023	J	`jnl`	A Novel Small-Data Based Approach for Decoding Yes/No-Decisions of Locked-In Patients Using Generative Adversarial Networks. IEEE Access Pascal Penava, Ricardo Buettner
2023	J	`jnl`	Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data. IEEE Access Niklas Braig, Alina Benz, Soeren Voth, Johannes Breitenbach, Ricardo Buettner
2023	—	`conf`	Machine Learning-Based Power Consumption Prediction for Unmanned Aerial Vehicles in Dynamic Environments. HICSS Julian Gatscher, Johannes Breitenbach, Ricardo Buettner
2023	—	`conf`	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 Pascal Penava, Marie-Louise Brozat, Yara Zimmermann, Johannes Breitenbach, Patrick Ulrich, Ricardo Buettner
2023	J	`jnl`	Unlocking the Potential of Wind Energy With Machine Learning-Based Avian Detection: A Call to Action. IEEE Access Marc Principato, Lisa Hasselwander, Michael Stangner, Ricardo Buettner
2022	—	`conf`	A Deep Learning-Based Cyber-Physical System for the Detection of Defective Capsules Using a Transfer Learning Strategy. PACIS Johannes Breitenbach, Jan Gross, Ricardo Buettner, Hermann Baumgartl, Samuel Bayerlein, Dennis Flathau, Daniel Sauter
2022	B	`conf`	A Deep Learning-Based Model for Automated Quality Control in the Pharmaceutical Industry. COMPSAC Dominik Raab, Eric Fezer, Johannes Breitenbach, Hermann Baumgartl, Daniel Sauter, Ricardo Buettner
2022	B	`conf`	A Systematic Literature Review of Current IoT-Based Approaches for Improving Sustainable Public Transportation in Smart Cities. COMPSAC Johannes Breitenbach, Jan Gross, Daniel Dittrich, Pauline Neumann, Alexander Schilling, Esra Zaman, Ricardo Buettner
2022	B	`conf`	A Systematic Literature Review of Deep Learning Approaches in Smart Meter Data Analytics. COMPSAC Johannes Breitenbach, Jan Gross, Manuel Wengert, James Anurathan, Rico Bitsch, Zafer Kosar, Emre Tuelue, Ricardo Buettner
2022	B	`conf`	A Systematic Literature Review of Machine Learning Applications for Process Monitoring and Control in Semiconductor Manufacturing. COMPSAC Tobias Gentner, Johannes Breitenbach, Timon Neitzel, Jacob Schulze, Ricardo Buettner
2022	B	`conf`	A Systematic Literature Review of Machine Learning Approaches for Detecting Events and Disturbances in Smart Grid Systems. COMPSAC Ricardo Buettner, Johannes Breitenbach, Jan Gross, Isabell Krueger, Hari Gouromichos, Marvin Listl, Louis Leicht, Thorsten Klier
2022	B	`conf`	A Systematic Literature Review of Machine Learning Approaches for Optimization in Additive Manufacturing. COMPSAC Johannes Breitenbach, Friedrich Seidenspinner, Furkan Vural, Philipp Beisswanger, Ricardo Buettner
2022	B	`conf`	A Systematic Literature Review of Virtual and Augmented Reality Applications for Maintenance in Manufacturing. COMPSAC Ricardo Buettner, Johannes Breitenbach, Kai Wannenwetsch, Isabel Ostermann, Rene Priel
2022	—	`conf`	Artificial Intelligence for Industry 4.0: Automated In-Line Quality Control of Electrical Cable Ends Based on Convolutional Neural Networks. PACIS Johannes Breitenbach, Jan Gross, Hermann Baumgartl, Patrick Sven Ulrich, Ricardo Buettner
2022	—	`conf`	Automated Defect Detection of Screws in the Manufacturing Industry Using Convolutional Neural Networks. HICSS Johannes Breitenbach, Isabelle Eckert, Vanessa Mahal, Hermann Baumgartl, Ricardo Buettner
2022	J	`jnl`	Benchmarking Transfer Learning Strategies in Time-Series Imaging: Recommendations for Analyzing Raw Sensor Data. IEEE Access Jan Gross, Ricardo Buettner, Hermann Baumgartl
2022	—	`conf`	Current Developments in Management Reporting - A Systematic Literature Review focusing on Digitization and Role Changes. PACIS Vanessa Frank, Patrick Sven Ulrich, Ricardo Buettner, Wolfgang Becker
2022	—	`conf`	High-Performance Fake Voice Detection on Automatic Speaker Verification Systems for the Prevention of Cyber Fraud with Convolutional Neural Networks. HICSS Ricardo Buettner, Jan Gross, Philipp Roessler, Julia Winter, Daniel Sauter, Hermann Baumgartl, Patrick Ulrich
2022	—	`conf`	Machine Learning-Based Health Behavior Prediction Using Resting-State EEG Data. AMCIS Johannes Breitenbach, Daniel Eisenhardt, Thilo Rieg, Hermann Baumgartl, Patrick Sven Ulrich, Ingo J. Timm, Ricardo Buettner
2021	—	`conf`	A Novel Machine Learning Approach to Working Memory Evaluation Using Resting-State EEG Data. PACIS Johannes Breitenbach, Alpay Uzun, Thilo Rieg, Hermann Baumgartl, Ricardo Buettner
2021	—	`conf`	A Review of Recent Advances in Machine Learning Approaches for Cyber Defense. IEEE BigData Ricardo Buettner, Daniel Sauter, Jonas Klopfer, Johannes Breitenbach, Hermann Baumgartl
2021	—	`conf`	A Systematic Literature Review of Data Privacy Solutions for Smart Meter Technologies. IEEE BigData Jan Gross, Johannes Breitenbach, Waldemar Granson, Daniel Japs, Ardi Reci, Aaron Koengeter, Ricardo Buettner
2021	—	`conf`	A Systematic Literature Review of Machine Learning Tools for Supporting Supply Chain Management in the Manufacturing Environment. IEEE BigData Johannes Breitenbach, Sara Haileselassie, Christoph Schuerger, Jonas Werner, Ricardo Buettner
2021	—	`conf`	A Systematic Literature Review on Machine Learning Approaches for Quality Monitoring and Control Systems for Welding Processes. IEEE BigData Johannes Breitenbach, Tim Dauser, Hendrik Illenberger, Marius Traub, Ricardo Buettner
2021	B	`conf`	A Systematic Literature Review on Transfer Learning for 3D-CNNs. IJCNN Marco Klaiber, Daniel Sauter, Hermann Baumgartl, Ricardo Buettner
2021	B	`conf`	Automatic Diagnosis of Intellectual and Developmental Disorder Using Machine Learning Based on Resting-State EEG Recordings. WiMob Johannes Breitenbach, Dominik Raab, Eric Fezer, Daniel Sauter, Hermann Baumgartl, Ricardo Buettner
2021	—	`conf`	Classifying High and Low Self-Esteem using a Novel Machine Learning Method based on EEG Data. PACIS Ricardo Buettner, Daniel Sauter, Isabelle Eckert, Hermann Baumgartl
2021	—	`conf`	Comparison of deep learning methods for image deblurring on light optical materials microscopy data. CASE Patrick Krawczyk, Hermann Baumgartl, Andreas Jansche, Timo Bernthaler, Ricardo Buettner, Gerhard Schneider
2021	B	`conf`	Defect Detection of Metal Nuts Applying Convolutional Neural Networks. COMPSAC Daniel Sauter, Anna Schmitz, Fulya Dikici, Hermann Baumgartl, Ricardo Buettner
2021	—	`conf`	Detection of Schizophrenia Using Machine Learning on the Five Most Predictive EEG-Channels. PACIS Hermann Baumgartl, Stefanie Scholtz, Daniel Sauter, Ricardo Buettner
2021	—	`conf`	Detection of schizophrenia: A machine learning algorithm for potential early detection and prevention based on event-related potentials. HICSS Janek Frick, Thilo Rieg, Ricardo Buettner
2021	J	`jnl`	Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks. CoRR Hermann Baumgartl, Ricardo Buettner
2021	—	`conf`	Early Detection of Alcohol Use Disorder Based on a Novel Machine Learning Approach Using EEG Data. IEEE BigData Dennis Flathau, Johannes Breitenbach, Hermann Baumgartl, Ricardo Buettner
2021	—	`conf`	High-Performance Detection of Corneal Ulceration Using Image Classification with Convolutional Neural Networks. HICSS Jan Gross, Johannes Breitenbach, Hermann Baumgartl, Ricardo Buettner
2021	—	`conf`	High-Performance Detection of Mild Cognitive Impairment Using Resting-State EEG Signals Located in Broca's Area: A Machine Learning Approach. AMCIS Jan Gross, Niklas Groiss, Thilo Rieg, Hermann Baumgartl, Ricardo Buettner
2021	—	`conf`	Machine Learning Based Diagnostics of Developmental Coordination Disorder using Electroencephalographic Data. HICSS Ricardo Buettner, Michael Buechele, Benedikt Grimmeisen, Patrick Ulrich
2021	—	`conf`	Machine Learning Based Differentiation Between High and Low Self-Discipline Using EEG Data. ECIS Daniel Sauter, Lars Butz, Ricardo Buettner
2021	—	`conf`	Machine Learning-Based Detection of High Trait Anxiety Using Frontal Asymmetry Characteristics in Resting-State EEG Recordings. PACIS Jan Gross, Filmon Mesgun, Janek Frick, Hermann Baumgartl, Ricardo Buettner
2021	—	`conf`	Multi-Class Emotion Recognition within the Valence-Arousal-Dominance Space Using EEG. AMCIS Marvin Gaertner, Daniel Sauter, Hermann Baumgartl, Thilo Rieg, Ricardo Buettner
2021	—	`conf`	One Single Click is enough - an Empirical Study on Human Threats in Family Firm Cyber Security. HICSS Patrick Ulrich, Vanessa Frank, Ricardo Buettner
2021	B	`conf`	Pain Level Assessment for Infants Using Facial Expression Scores. COMPSAC Hermann Baumgartl, Dennis Flathau, Samuel Bayerlein, Daniel Sauter, Ingo J. Timm, Ricardo Buettner
2021	B	`conf`	Vision-based Hand Gesture Recognition for Human-Computer Interaction using MobileNetV2. COMPSAC Hermann Baumgartl, Daniel Sauter, Christian Schenk, Cem Atik, Ricardo Buettner
2021	B	`conf`	Visual Defect Detection of Metal Screws using a Deep Convolutional Neural Network. COMPSAC Daniel Sauter, Cem Atik, Christian Schenk, Ricardo Buettner, Hermann Baumgartl
2020	—	`conf`	A Novel Machine Learning Approach for High-Performance Diagnosis of Premature Internet Addiction Using the Unfolded EEG Spectra. AMCIS Jan Gross, Hermann Baumgartl, Ricardo Buettner
2020	B	`conf`	A Systematic Literature Review of Computer Support for Surgical Interventions. COMPSAC Ricardo Buettner, Kai Wannenwetsch, Daniel Loskan
2020	B	`conf`	A Systematic Literature Review of Machine Learning-Based Disease Profiling and Personalized Treatment. COMPSAC Ricardo Buettner, Florian Klenk, Marc Ebert
2020	B	`conf`	A Systematic Literature Review of Medical Chatbot Research from a Behavior Change Perspective. COMPSAC Tobias Gentner, Timon Neitzel, Jacob Schulze, Ricardo Buettner
2020	B	`conf`	A Systematic Literature Review of Practical Virtual and Augmented Reality Solutions in Surgery. COMPSAC Jonas Roessel, Moritz Knoell, Jannic Hofmann, Ricardo Buettner
2020	B	`conf`	A Systematic Literature Review of Research in the Surgical Field of Medical Robotics. COMPSAC Ricardo Buettner, Alena Renner, Anna Boos
2020	—	`conf`	Detecting Antisocial Personality Disorder Using a Novel Machine Learning Algorithm Based on Electroencephalographic Data. PACIS Hermann Baumgartl, Fulya Dikici, Daniel Sauter, Ricardo Buettner
2020	—	`conf`	Detection of Excessive Daytime Sleepiness in Resting-State EEG Recordings: A Novel Machine Learning Approach Using Specific EEG Sub-Bands and Channels. AMCIS Johannes Breitenbach, Hermann Baumgartl, Ricardo Buettner
2020	—	`conf`	Development of a Highly Precise Place Recognition Module for Effective Human-robot Interactions in Changing Lighting and Viewpoint Conditions. HICSS Hermann Baumgartl, Ricardo Buettner
2020	—	`conf`	Development of a Machine Learning Based Algorithm To Accurately Detect Schizophrenia based on One-minute EEG Recordings. HICSS Ricardo Buettner, David Beil, Stefanie Scholtz, Aadel Djemai
2020	—	`conf`	High-performance Diagnosis of Sleep Disorders: A Novel, Accurate and Fast Machine Learning Approach Using Electroencephalographic Data. HICSS Ricardo Buettner, Annika Grimmeisen, Anne Gotschlich
2020	—	`conf`	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 Ricardo Buettner, Martin Blattner, Willi Reinhardt
2020	—	`conf`	Machine Learning Based Diagnosis of Binge Eating Disorder Using EEG Recordings. PACIS Dominik Raab, Hermann Baumgartl, Ricardo Buettner
2020	—	`conf`	Measuring Social Desirability Using a Novel Machine Learning Approach Based on EEG Data. PACIS Hermann Baumgartl, Philipp Roessler, Daniel Sauter, Ricardo Buettner
2020	—	`conf`	The Impact of Trust in Consumer Protection on Internet Shopping Behavior: An Empirical Study using a Large Official Dataset from the European Union. BigDataService Ricardo Buettner
2020	—	`conf`	Towards Simulation-Based Preplanning for Experimental Analysis of Nudging. Wirtschaftsinformatik (Zentrale Tracks) Stephanie C. Rodermund, Ingo J. Timm, Ricardo Buettner
2020	—	`conf`	Two-Level Classification of Chronic Stress Using Machine Learning on Resting-State EEG Recordings. AMCIS Hermann Baumgartl, Eric Fezer, Ricardo Buettner
2019	—	`conf`	A Highly Effective Deep Learning Based Escape Route Recognition Module for Autonomous Robots in Crisis and Emergency Situations. HICSS Ricardo Buettner, Hermann Baumgartl
2019	C	`conf`	Efficient machine learning based detection of heart disease. HealthCom Ricardo Buettner, Marc Schunter
2019	—	`conf`	High-performance detection of alcoholism by unfolding the amalgamated EEG spectra using the Random Forests method. HICSS Thilo Rieg, Janek Frick, Marius Hitzler, Ricardo Buettner
2019	C	`conf`	High-performance detection of epilepsy in seizure-free EEG recordings: A novel machine learning approach using very specific epileptic EEG sub-bands. ICIS Ricardo Buettner, Janek Frick, Thilo Rieg
2019	C	`conf`	High-performance exclusion of schizophrenia using a novel machine learning method on EEG data. HealthCom Ricardo Buettner, Michael Hirschmiller, Kevin Schlosser, Manfred Rössle, Marc Fernandes, Ingo J. Timm
2019	C	`conf`	Towards high-performance differentiation between Narcolepsy and Idiopathic Hypersomnia in 10 minute EEG recordings using a Novel Machine Learning Approach. HealthCom Ricardo Buettner, Jessica Fuhrmann, Laura Kolb
2018	B	`conf`	Hardcore Gamer Profiling: Results from an unsupervised learning approach to playing behavior on the Steam platform. KES Florian Baumann, Dominik Emmert, Hermann Baumgartl, Ricardo Buettner
2018	J	`jnl`	Real-time Prediction of User Performance based on Pupillary Assessment via Eye Tracking. AIS Trans. Hum. Comput. Interact. Ricardo Buettner, Sebastian Sauer, Christian Maier, Andreas Eckhardt
2018	—	`conf`	Robust User Identification Based on Facial Action Units Unaffected by Users' Emotions. HICSS Ricardo Buettner
2017	C	`conf`	Asking both the User's Brain and its Owner using Subjective and Objective Psychophysiological NeuroIS Instruments. ICIS Ricardo Buettner
2017	J	`jnl`	Getting a job via career-oriented social networking markets - The weakness of too many ties. Electron. Mark. Ricardo Buettner
2017	J	`jnl`	Predicting user behavior in electronic markets based on personality-mining in large online social networks - A personality-based product recommender framework. Electron. Mark. Ricardo Buettner
2016	—	`conf`	A Systematic Literature Review of Twitter Research from a Socio-Political Revolution Perspective. HICSS Ricardo Buettner, Katharina Buettner
2016	—	`conf`	A User's Cognitive Workload Perspective in Negotiation Support Systems: an eye-tracking Experiment. PACIS Ricardo Buettner
2016	—	`conf`	Getting a Job via Career-Oriented Social Networking Sites: The Weakness of Ties. HICSS Ricardo Buettner
2016	—	`conf`	Industrie 4.0-Readiness: Eine empirische Fallstudie in der Automobilproduktion. GI-Jahrestagung Kathrin Schwinghammer, Ricardo Buettner
2016	—	`conf`	Innovative Personality-based Digital Services. PACIS Ricardo Buettner
2016	—	`conf`	Personality as a predictor of Business Social Media Usage: an Empirical Investigation of Xing Usage Patterns. PACIS Ricardo Buettner
2015	—	`conf`	A Systematic Literature Review of Crowdsourcing Research from a Human Resource Management Perspective. HICSS Ricardo Buettner
2015	—	`conf`	Analyzing the Problem of Employee Internal Social Network Site Avoidance: Are Users Resistant due to Their Privacy Concerns? HICSS Ricardo Buettner
2015	—	`conf`	Inklusion in Social Media: Die Perspektive der Betroffenen. GI-Jahrestagung Ricardo Buettner
2015	—	`conf`	Towards Ex Ante Prediction of User Performance: A Novel NeuroIS Methodology Based on Real-Time Measurement of Mental Effort. HICSS Ricardo Buettner, Sebastian Sauer, Christian Maier, Andreas Eckhardt
2015	—	`conf`	Towards a New Personal Information Technology Acceptance Model: Conceptualization and Empirical Evidence from a Bring Your Own Device Dataset. AMCIS Ricardo Buettner
2014	—	`conf`	A Framework for Recommender Systems in Online Social Network Recruiting: An Interdisciplinary Call to Arms. HICSS Ricardo Buettner
2013	Misc	`conf`	Cognitive Workload of Humans Using Artificial Intelligence Systems: Towards Objective Measurement Applying Eye-Tracking Technology. KI Ricardo Buettner
2013	C	`conf`	Objective measures of IS usage behavior under conditions of experience and pressure using eye fixation data. ICIS Andreas Eckhardt, Christian Maier, JJ Po-An Hsieh, Tim Chuk, Antoni B. Chan, Janet H. Hsiao, Ricardo Buettner
2013	—	`conf`	Social Inclusion in E-Participation and E-Government Solutions: A Systematic Laboratory-experimental Approach Using Objective Psychophysiological Measures. EGOV/ePart Ongoing Research Ricardo Buettner
2013	—	`conf`	The utilization of Twitter in lectures. GI-Jahrestagung Ricardo Buettner
2013	—	`conf`	User Acceptance in Different Electronic Negotiation Systems - A Comparative Approach. ICEBE Ricardo Buettner, Barbara Daxenberger, Christian Woesle
2012	—	`conf`	Argumentation-Based Negotiation? Negotiation-Based Argumentation! EC-Web Jürgen Landes, Ricardo Buettner
2012	C	`conf`	The Influence of Pressure to Perform and Experience on Changing Perceptions and User Performance: A Multi-Method Experimental Analysis. ICIS Andreas Eckhardt, Christian Maier, Ricardo Buettner
2012	—	`conf`	Vergleich von Geschäftsmodellen sozialer Netzwerke. GI-Jahrestagung Daniel Funk, Ricardo Buettner, Christoph Süss, Nicolas Henning, Andreas Tulzer
2011	—	`conf`	Automatisiertes Headhunting im Web 2.0: Zum Einsatz intelligenter Softwareagenten als Headhunting-Robots. GI-Jahrestagung Ricardo Buettner
2011	—	`conf`	Mitarbeiterportale: Eine personalorientierte Literaturanalyse zur sinnvollen Erweiterung des Funktionsumfangs. GI-Jahrestagung Christian Woesle, Norbert Moenks, Ricardo Buettner
2010	—	`conf`	Förderung der elektronischen Marktfähigkeit von Dienstleistungen und hybriden Angeboten in Produkt-Service Systemen. GI Jahrestagung (1) Ricardo Buettner
2009	—	`conf`	Cooperation in Hunting and Food-Sharing: A Two-Player Bio-inspired Trust Model. BIONETICS Ricardo Buettner
2008	—	`conf`	Bargaining Power in Electronic Negotiations: A Bilateral Negotiation Mechanism. EC-Web Ricardo Buettner, Stefan Kirn
2006	—	`conf`	A Classification Structure for Automated Negotiations. IAT Workshops Ricardo Buettner
2006	J	`jnl`	The State of the Art in Automated Negotiation Models of the Behavior and Information Perspective. Int. Trans. Syst. Sci. Appl. Ricardo Buettner