A Classification Structure for Automated Negotiations. - Ricardo Buettner (IAT Workshops, 2006)

The State of the Art in Automated Negotiation Models of the Behavior and Information Perspective. - Ricardo Buettner (Int. Trans. Syst. Sci. Appl., 2006)

Bargaining Power in Electronic Negotiations: A Bilateral Negotiation Mechanism. - Ricardo Buettner; Stefan Kirn (EC-Web, 2008)

Cooperation in Hunting and Food-Sharing: A Two-Player Bio-inspired Trust Model. - Ricardo Buettner (BIONETICS, 2009)

Förderung der elektronischen Marktfähigkeit von Dienstleistungen und hybriden Angeboten in Produkt-Service Systemen. - Ricardo Buettner (GI Jahrestagung (1), 2010)

Automatisiertes Headhunting im Web 2.0: Zum Einsatz intelligenter Softwareagenten als Headhunting-Robots. - Ricardo Buettner (GI-Jahrestagung, 2011)

Mitarbeiterportale: Eine personalorientierte Literaturanalyse zur sinnvollen Erweiterung des Funktionsumfangs. - Christian Woesle; Norbert Moenks; Ricardo Buettner (GI-Jahrestagung, 2011)

Argumentation-Based Negotiation? Negotiation-Based Argumentation! - Jürgen Landes; Ricardo Buettner (EC-Web, 2012)

Vergleich von Geschäftsmodellen sozialer Netzwerke. - Daniel Funk; Ricardo Buettner; Christoph Süss; Nicolas Henning; Andreas Tulzer (GI-Jahrestagung, 2012)

The Influence of Pressure to Perform and Experience on Changing Perceptions and User Performance: A Multi-Method Experimental Analysis. - Andreas Eckhardt; Christian Maier; Ricardo Buettner (ICIS, 2012)

Social Inclusion in E-Participation and E-Government Solutions: A Systematic Laboratory-experimental Approach Using Objective Psychophysiological Measures. - Ricardo Buettner (EGOV/ePart Ongoing Research, 2013)

The utilization of Twitter in lectures. - Ricardo Buettner (GI-Jahrestagung, 2013)

User Acceptance in Different Electronic Negotiation Systems - A Comparative Approach. - Ricardo Buettner; Barbara Daxenberger; Christian Woesle (ICEBE, 2013)

Objective measures of IS usage behavior under conditions of experience and pressure using eye fixation data. - Andreas Eckhardt; Christian Maier; JJ Po-An Hsieh; Tim Chuk; Antoni B. Chan; Janet H. Hsiao; Ricardo Buettner (ICIS, 2013)

Cognitive Workload of Humans Using Artificial Intelligence Systems: Towards Objective Measurement Applying Eye-Tracking Technology. - Ricardo Buettner (KI, 2013)

A Framework for Recommender Systems in Online Social Network Recruiting: An Interdisciplinary Call to Arms. - Ricardo Buettner (HICSS, 2014)

Towards a New Personal Information Technology Acceptance Model: Conceptualization and Empirical Evidence from a Bring Your Own Device Dataset. - Ricardo Buettner (AMCIS, 2015)

Inklusion in Social Media: Die Perspektive der Betroffenen. - Ricardo Buettner (GI-Jahrestagung, 2015)

Analyzing the Problem of Employee Internal Social Network Site Avoidance: Are Users Resistant due to Their Privacy Concerns? - Ricardo Buettner (HICSS, 2015)

A Systematic Literature Review of Crowdsourcing Research from a Human Resource Management Perspective. - Ricardo Buettner (HICSS, 2015)

Towards Ex Ante Prediction of User Performance: A Novel NeuroIS Methodology Based on Real-Time Measurement of Mental Effort. - Ricardo Buettner; Sebastian Sauer; Christian Maier; Andreas Eckhardt (HICSS, 2015)

Industrie 4.0-Readiness: Eine empirische Fallstudie in der Automobilproduktion. - Kathrin Schwinghammer; Ricardo Buettner (GI-Jahrestagung, 2016)

Getting a Job via Career-Oriented Social Networking Sites: The Weakness of Ties. - Ricardo Buettner (HICSS, 2016)

A Systematic Literature Review of Twitter Research from a Socio-Political Revolution Perspective. - Ricardo Buettner; Katharina Buettner (HICSS, 2016)

A User's Cognitive Workload Perspective in Negotiation Support Systems: an eye-tracking Experiment. - Ricardo Buettner (PACIS, 2016)

Personality as a predictor of Business Social Media Usage: an Empirical Investigation of Xing Usage Patterns. - Ricardo Buettner (PACIS, 2016)

Innovative Personality-based Digital Services. - Ricardo Buettner (PACIS, 2016)

Asking both the User's Brain and its Owner using Subjective and Objective Psychophysiological NeuroIS Instruments. - Ricardo Buettner (ICIS, 2017)

Predicting user behavior in electronic markets based on personality-mining in large online social networks - A personality-based product recommender framework. - Ricardo Buettner (Electron. Mark., 2017)

Getting a job via career-oriented social networking markets - The weakness of too many ties. - Ricardo Buettner (Electron. Mark., 2017)

Accessibility Beyond the Desktop. - Gerhard Weber 002; Rainer Stiefelhagen; Ricardo Büttner; René Reiners; Steffen Puhl; Henning Lübbecke (Inform. Spektrum, 2017)

Robust User Identification Based on Facial Action Units Unaffected by Users' Emotions. - Ricardo Buettner (HICSS, 2018)

Hardcore Gamer Profiling: Results from an unsupervised learning approach to playing behavior on the Steam platform. - Florian Baumann; Dominik Emmert; Hermann Baumgartl; Ricardo Buettner (KES, 2018)

Real-time Prediction of User Performance based on Pupillary Assessment via Eye Tracking. - Ricardo Buettner; Sebastian Sauer; Christian Maier; Andreas Eckhardt (AIS Trans. Hum. Comput. Interact., 2018)

Towards high-performance differentiation between Narcolepsy and Idiopathic Hypersomnia in 10 minute EEG recordings using a Novel Machine Learning Approach. - Ricardo Buettner; Jessica Fuhrmann; Laura Kolb (HealthCom, 2019)

High-performance exclusion of schizophrenia using a novel machine learning method on EEG data. - Ricardo Buettner; Michael Hirschmiller; Kevin Schlosser; Manfred Rössle; Marc Fernandes; Ingo J. Timm (HealthCom, 2019)

Efficient machine learning based detection of heart disease. - Ricardo Buettner; Marc Schunter (HealthCom, 2019)

A Highly Effective Deep Learning Based Escape Route Recognition Module for Autonomous Robots in Crisis and Emergency Situations. - Ricardo Buettner; Hermann Baumgartl (HICSS, 2019)

High-performance detection of alcoholism by unfolding the amalgamated EEG spectra using the Random Forests method. - Thilo Rieg; Janek Frick; Marius Hitzler; Ricardo Buettner (HICSS, 2019)

High-performance detection of epilepsy in seizure-free EEG recordings: A novel machine learning approach using very specific epileptic EEG sub-bands. - Ricardo Buettner; Janek Frick; Thilo Rieg (ICIS, 2019)

Two-Level Classification of Chronic Stress Using Machine Learning on Resting-State EEG Recordings. - Hermann Baumgartl; Eric Fezer; Ricardo Buettner (AMCIS, 2020)

Detection of Excessive Daytime Sleepiness in Resting-State EEG Recordings: A Novel Machine Learning Approach Using Specific EEG Sub-Bands and Channels. - Johannes Breitenbach; Hermann Baumgartl; Ricardo Buettner (AMCIS, 2020)

A Novel Machine Learning Approach for High-Performance Diagnosis of Premature Internet Addiction Using the Unfolded EEG Spectra. - Jan Gross; Hermann Baumgartl; Ricardo Buettner (AMCIS, 2020)

The Impact of Trust in Consumer Protection on Internet Shopping Behavior: An Empirical Study using a Large Official Dataset from the European Union. - Ricardo Buettner (BigDataService, 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. - Ricardo Buettner; Martin Blattner; Willi Reinhardt (BigDataService, 2020)

A Systematic Literature Review of Machine Learning-Based Disease Profiling and Personalized Treatment. - Ricardo Buettner; Florian Klenk; Marc Ebert (COMPSAC, 2020)

A Systematic Literature Review of Research in the Surgical Field of Medical Robotics. - Ricardo Buettner; Alena Renner; Anna Boos (COMPSAC, 2020)

A Systematic Literature Review of Computer Support for Surgical Interventions. - Ricardo Buettner; Kai Wannenwetsch; Daniel Loskan (COMPSAC, 2020)

A Systematic Literature Review of Medical Chatbot Research from a Behavior Change Perspective. - Tobias Gentner; Timon Neitzel; Jacob Schulze; Ricardo Buettner (COMPSAC, 2020)

A Systematic Literature Review of Practical Virtual and Augmented Reality Solutions in Surgery. - Jonas Roessel; Moritz Knoell; Jannic Hofmann; Ricardo Buettner (COMPSAC, 2020)

Development of a Highly Precise Place Recognition Module for Effective Human-robot Interactions in Changing Lighting and Viewpoint Conditions. - Hermann Baumgartl; Ricardo Buettner (HICSS, 2020)

Development of a Machine Learning Based Algorithm To Accurately Detect Schizophrenia based on One-minute EEG Recordings. - Ricardo Buettner; David Beil; Stefanie Scholtz; Aadel Djemai (HICSS, 2020)

High-performance Diagnosis of Sleep Disorders: A Novel, Accurate and Fast Machine Learning Approach Using Electroencephalographic Data. - Ricardo Buettner; Annika Grimmeisen; Anne Gotschlich (HICSS, 2020)

Detecting Antisocial Personality Disorder Using a Novel Machine Learning Algorithm Based on Electroencephalographic Data. - Hermann Baumgartl; Fulya Dikici; Daniel Sauter; Ricardo Buettner (PACIS, 2020)

Measuring Social Desirability Using a Novel Machine Learning Approach Based on EEG Data. - Hermann Baumgartl; Philipp Roessler; Daniel Sauter; Ricardo Buettner (PACIS, 2020)

Machine Learning Based Diagnosis of Binge Eating Disorder Using EEG Recordings. - Dominik Raab; Hermann Baumgartl; Ricardo Buettner (PACIS, 2020)

Towards Simulation-Based Preplanning for Experimental Analysis of Nudging. - Stephanie C. Rodermund; Ingo J. Timm; Ricardo Buettner (Wirtschaftsinformatik (Zentrale Tracks), 2020)

Multi-Class Emotion Recognition within the Valence-Arousal-Dominance Space Using EEG. - Marvin Gaertner; Daniel Sauter; Hermann Baumgartl; Thilo Rieg; Ricardo Buettner (AMCIS, 2021)

High-Performance Detection of Mild Cognitive Impairment Using Resting-State EEG Signals Located in Broca's Area: A Machine Learning Approach. - Jan Gross; Niklas Groiss; Thilo Rieg; Hermann Baumgartl; Ricardo Buettner (AMCIS, 2021)

A Systematic Literature Review on Machine Learning Approaches for Quality Monitoring and Control Systems for Welding Processes. - Johannes Breitenbach; Tim Dauser; Hendrik Illenberger; Marius Traub; Ricardo Buettner (IEEE BigData, 2021)

A Systematic Literature Review of Machine Learning Tools for Supporting Supply Chain Management in the Manufacturing Environment. - Johannes Breitenbach; Sara Haileselassie; Christoph Schuerger; Jonas Werner; Ricardo Buettner (IEEE BigData, 2021)

A Review of Recent Advances in Machine Learning Approaches for Cyber Defense. - Ricardo Buettner; Daniel Sauter; Jonas Klopfer; Johannes Breitenbach; Hermann Baumgartl (IEEE BigData, 2021)

Early Detection of Alcohol Use Disorder Based on a Novel Machine Learning Approach Using EEG Data. - Dennis Flathau; Johannes Breitenbach; Hermann Baumgartl; Ricardo Buettner (IEEE BigData, 2021)

A Systematic Literature Review of Data Privacy Solutions for Smart Meter Technologies. - Jan Gross; Johannes Breitenbach; Waldemar Granson; Daniel Japs; Ardi Reci; Aaron Koengeter; Ricardo Buettner (IEEE BigData, 2021)

Comparison of deep learning methods for image deblurring on light optical materials microscopy data. - Patrick Krawczyk; Hermann Baumgartl; Andreas Jansche; Timo Bernthaler; Ricardo Buettner; Gerhard Schneider (CASE, 2021)

Pain Level Assessment for Infants Using Facial Expression Scores. - Hermann Baumgartl; Dennis Flathau; Samuel Bayerlein; Daniel Sauter; Ingo J. Timm; Ricardo Buettner (COMPSAC, 2021)

Vision-based Hand Gesture Recognition for Human-Computer Interaction using MobileNetV2. - Hermann Baumgartl; Daniel Sauter; Christian Schenk 005; Cem Atik; Ricardo Buettner (COMPSAC, 2021)

Visual Defect Detection of Metal Screws using a Deep Convolutional Neural Network. - Daniel Sauter; Cem Atik; Christian Schenk 005; Ricardo Buettner; Hermann Baumgartl (COMPSAC, 2021)

Defect Detection of Metal Nuts Applying Convolutional Neural Networks. - Daniel Sauter; Anna Schmitz 002; Fulya Dikici; Hermann Baumgartl; Ricardo Buettner (COMPSAC, 2021)

Machine Learning Based Differentiation Between High and Low Self-Discipline Using EEG Data. - Daniel Sauter; Lars Butz; Ricardo Buettner (ECIS, 2021)

Machine Learning Based Diagnostics of Developmental Coordination Disorder using Electroencephalographic Data. - Ricardo Buettner; Michael Buechele; Benedikt Grimmeisen; Patrick Ulrich (HICSS, 2021)

Detection of schizophrenia: A machine learning algorithm for potential early detection and prevention based on event-related potentials. - Janek Frick; Thilo Rieg; Ricardo Buettner (HICSS, 2021)

High-Performance Detection of Corneal Ulceration Using Image Classification with Convolutional Neural Networks. - Jan Gross; Johannes Breitenbach; Hermann Baumgartl; Ricardo Buettner (HICSS, 2021)

One Single Click is enough - an Empirical Study on Human Threats in Family Firm Cyber Security. - Patrick Ulrich; Vanessa Frank; Ricardo Buettner (HICSS, 2021)

A Systematic Literature Review on Transfer Learning for 3D-CNNs. - Marco Klaiber; Daniel Sauter; Hermann Baumgartl; Ricardo Buettner (IJCNN, 2021)

Detection of Schizophrenia Using Machine Learning on the Five Most Predictive EEG-Channels. - Hermann Baumgartl; Stefanie Scholtz; Daniel Sauter; Ricardo Buettner (PACIS, 2021)

A Novel Machine Learning Approach to Working Memory Evaluation Using Resting-State EEG Data. - Johannes Breitenbach; Alpay Uzun; Thilo Rieg; Hermann Baumgartl; Ricardo Buettner (PACIS, 2021)

Classifying High and Low Self-Esteem using a Novel Machine Learning Method based on EEG Data. - Ricardo Buettner; Daniel Sauter; Isabelle Eckert; Hermann Baumgartl (PACIS, 2021)

Machine Learning-Based Detection of High Trait Anxiety Using Frontal Asymmetry Characteristics in Resting-State EEG Recordings. - Jan Gross; Filmon Mesgun; Janek Frick; Hermann Baumgartl; Ricardo Buettner (PACIS, 2021)

Automatic Diagnosis of Intellectual and Developmental Disorder Using Machine Learning Based on Resting-State EEG Recordings. - Johannes Breitenbach; Dominik Raab; Eric Fezer; Daniel Sauter; Hermann Baumgartl; Ricardo Buettner (WiMob, 2021)

Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks. - Hermann Baumgartl; Ricardo Buettner (CoRR, 2021)

Machine Learning-Based Health Behavior Prediction Using Resting-State EEG Data. - Johannes Breitenbach; Daniel Eisenhardt; Thilo Rieg; Hermann Baumgartl; Patrick Sven Ulrich; Ingo J. Timm; Ricardo Buettner (AMCIS, 2022)

A Systematic Literature Review of Current IoT-Based Approaches for Improving Sustainable Public Transportation in Smart Cities. - Johannes Breitenbach; Jan Gross; Daniel Dittrich; Pauline Neumann; Alexander Schilling; Esra Zaman; Ricardo Buettner (COMPSAC, 2022)

A Systematic Literature Review of Deep Learning Approaches in Smart Meter Data Analytics. - Johannes Breitenbach; Jan Gross; Manuel Wengert; James Anurathan; Rico Bitsch; Zafer Kosar; Emre Tuelue; Ricardo Buettner (COMPSAC, 2022)

A Systematic Literature Review of Machine Learning Approaches for Optimization in Additive Manufacturing. - Johannes Breitenbach; Friedrich Seidenspinner; Furkan Vural; Philipp Beisswanger; Ricardo Buettner (COMPSAC, 2022)

A Systematic Literature Review of Machine Learning Approaches for Detecting Events and Disturbances in Smart Grid Systems. - Ricardo Buettner; Johannes Breitenbach; Jan Gross; Isabell Krueger; Hari Gouromichos; Marvin Listl; Louis Leicht; Thorsten Klier (COMPSAC, 2022)

A Systematic Literature Review of Virtual and Augmented Reality Applications for Maintenance in Manufacturing. - Ricardo Buettner; Johannes Breitenbach; Kai Wannenwetsch; Isabel Ostermann; Rene Priel (COMPSAC, 2022)

A Systematic Literature Review of Machine Learning Applications for Process Monitoring and Control in Semiconductor Manufacturing. - Tobias Gentner; Johannes Breitenbach; Timon Neitzel; Jacob Schulze; Ricardo Buettner (COMPSAC, 2022)

A Deep Learning-Based Model for Automated Quality Control in the Pharmaceutical Industry. - Dominik Raab; Eric Fezer; Johannes Breitenbach; Hermann Baumgartl; Daniel Sauter; Ricardo Buettner (COMPSAC, 2022)

Automated Defect Detection of Screws in the Manufacturing Industry Using Convolutional Neural Networks. - Johannes Breitenbach; Isabelle Eckert; Vanessa Mahal; Hermann Baumgartl; Ricardo Buettner (HICSS, 2022)

High-Performance Fake Voice Detection on Automatic Speaker Verification Systems for the Prevention of Cyber Fraud with Convolutional Neural Networks. - Ricardo Buettner; Jan Gross; Philipp Roessler; Julia Winter; Daniel Sauter; Hermann Baumgartl; Patrick Ulrich (HICSS, 2022)

A Literature Review on the Impact of Modern Technologies on Management Reporting. - Patrick Ulrich; Vanessa Frank; Ricardo Büttner; Wolfgang Becker (KES, 2022)

A Deep Learning-Based Cyber-Physical System for the Detection of Defective Capsules Using a Transfer Learning Strategy. - Johannes Breitenbach; Jan Gross; Ricardo Buettner; Hermann Baumgartl; Samuel Bayerlein; Dennis Flathau; Daniel Sauter (PACIS, 2022)

Artificial Intelligence for Industry 4.0: Automated In-Line Quality Control of Electrical Cable Ends Based on Convolutional Neural Networks. - Johannes Breitenbach; Jan Gross; Hermann Baumgartl; Patrick Sven Ulrich; Ricardo Buettner (PACIS, 2022)

Current Developments in Management Reporting - A Systematic Literature Review focusing on Digitization and Role Changes. - Vanessa Frank; Patrick Sven Ulrich; Ricardo Buettner; Wolfgang Becker (PACIS, 2022)

Benchmarking Transfer Learning Strategies in Time-Series Imaging: Recommendations for Analyzing Raw Sensor Data. - Jan Gross; Ricardo Buettner; Hermann Baumgartl (IEEE Access, 2022)

Machine Learning-Based Power Consumption Prediction for Unmanned Aerial Vehicles in Dynamic Environments. - Julian Gatscher; Johannes Breitenbach; Ricardo Buettner (HICSS, 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. - Pascal Penava; Marie-Louise Brozat; Yara Zimmermann; Johannes Breitenbach; Patrick Ulrich; Ricardo Buettner (HICSS, 2023)

Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data. - Niklas Braig; Alina Benz; Soeren Voth; Johannes Breitenbach; Ricardo Buettner (IEEE Access, 2023)

A Deep Learning-Based Approach for the Detection of Infested Soybean Leaves. - Niklas Farah; Nicolas Drack; Hannah Dawel; Ricardo Buettner (IEEE Access, 2023)

A Novel Small-Data Based Approach for Decoding Yes/No-Decisions of Locked-In Patients Using Generative Adversarial Networks. - Pascal Penava; Ricardo Buettner (IEEE Access, 2023)

Unlocking the Potential of Wind Energy With Machine Learning-Based Avian Detection: A Call to Action. - Marc Principato; Lisa Hasselwander; Michael Stangner; Ricardo Buettner (IEEE Access, 2023)

Topic Trends in Sustainability Disclosure of German DAX 40 Companies - A Text Mining-Based Analysis. - Tobias Contala; Alexander-Michael Gerk; Johannes Hoettler; Ricardo Buettner (IEEE Access, 2024)

A Novel Hybrid Deep Learning Architecture for Dynamic Hand Gesture Recognition. - David Richard Tom Hax; Pascal Penava; Samira Krodel; Liliya Razova; Ricardo Buettner (IEEE Access, 2024)

A Novel Deep Learning-Based Approach for Defect Detection of Synthetic Leather Using Gaussian Filtering. - Christopher Mai; Pascal Penava; Ricardo Buettner (IEEE Access, 2024)

Oracle Bone Inscription Character Recognition Based on a Novel Convolutional Neural Network Architecture. - Christopher Mai; Pascal Penava; Ricardo Buettner (IEEE Access, 2024)

Early-Stage Non-Severe Depression Detection Using a Novel Convolutional Neural Network Approach Based on Resting-State EEG Data. - Pascal Penava; Ricardo Buettner (IEEE Access, 2024)

A Novel High Performance Object Identification Approach in Care Homes Using Gaussian Preprocessing. - Sara Auweiler; Melina Mueller; Diana Puhla; Pascal Penava; Ricardo Buettner (IEEE Access, 2025)

A Systematic Literature Review of Current Machine Learning Approaches for Detecting GNSS Spoofing Attacks. - Susan Bertram; Luca Eisentraut; Ricardo Buettner (IEEE Access, 2025)

Improvement of Deep Learning Models Using Retinal Filter: A Systematic Evaluation of the Effect of Gaussian Filtering With a Focus on Industrial Inspection Data. - Ricardo Buettner; Christopher Mai; Pascal Penava (IEEE Access, 2025)

Defect Detection in Industrial Soldering Processes Using Machine Learning: A Critical Literature Review. - Luca Eisentraut; Johanna Hosch; Maksym Roytenberg; Amélie Benecke; Pascal Penava; Ricardo Buettner (IEEE Access, 2025)

Deep Learning-Based Detection of Tuberculosis Using a Gaussian Chest X-Ray Image Filter as a Software Lens. - Luca Eisentraut; Christopher Mai; Johanna Hosch; Amélie Benecke; Pascal Penava; Ricardo Buettner (IEEE Access, 2025)

Fresh or Rotten? Enhancing Rotten Fruit Detection With Deep Learning and Gaussian Filtering. - Leopold Fischer-Brandies; Lucas Müller; Justus Johannes Riegger; Ricardo Buettner (IEEE Access, 2025)

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. - Leopold Fischer-Brandies; Lucas Müller; Benjamin Rebholz; Ricardo Buettner (IEEE Access, 2025)

Industrial Maturity of Machine Learning Solutions Within the Food Industry. - Laura Gradl; Luisa Reis; Ricardo Buettner (IEEE Access, 2025)

Advancements in Landmine Detection: Deep Learning-Based Analysis With Thermal Drones. - Daniel Heuschmid; Oliver Wacker; Yannick Zimmermann; Pascal Penava; Ricardo Buettner (IEEE Access, 2025)

A Systematic Literature Review on System Dynamics. - Justin Hoffmann; Christopher Mai; Bo Hu; Ricardo Buettner (IEEE Access, 2025)

A Systematic Literature Review of Machine Learning-Based Personality Trait Detection Using Electroencephalographic Data. - Celina Rieck; Pascal Penava; Ricardo Buettner (IEEE Access, 2025)

A Systematic Literature Review of Hallucinations in Large Language Models. - Christian Woesle; Leopold Fischer-Brandies; Ricardo Buettner (IEEE Access, 2025)

A novel subject-independent deep learning approach for user behavior prediction in electronic markets based on electroencephalographic data. - Pascal Penava; Ricardo Buettner (Electron. Mark., 2025)