Concept Extractor - Ein flexibler und domänenspezifischer Web Service zur Beschlagwortung von Texten. - Lukas Faulstich; Uwe Quasthoff; Fabian Schmidt; Christian Wolff 001 (ISI, 2002)

Linguistic Knowledge Services - Developing Web Services in Language Technology. - Fabian Schmidt; Christian Wolff 001 (IICS, 2003)

Visualising Temporal Item Sets: Guided Drill-Down with Hierarchical Attributes. - Fabian Schmidt; Martin Spott (SMPS, 2012)

Valory: Simultaneous control of avatar and environment in a platform game. - Rene Ksuz; Magdalena Soukup; Gerald Hauzenberger; Thomas Peintner; Fabian Schmidt (FDG, 2013)

Handling Inconsistencies in the Revision of Probability Distributions. - Fabian Schmidt; Jan Wendler; Jörg Gebhardt; Rudolf Kruse (HAIS, 2013)

Developing a Cloud Computing Based Approach for Forensic Analysis Using OCR. - Matthias Trojahn; Lei Pan 002; Fabian Schmidt (IMF, 2013)

Handling Revision Inconsistencies: Towards Better Explanations. - Fabian Schmidt; Jörg Gebhardt; Rudolf Kruse (ECSQARU, 2015)

Handling Revision Inconsistencies: Creating Useful Explanations. - Fabian Schmidt; Jörg Gebhardt; Rudolf Kruse (HICSS, 2015)

Detecting Inconsistencies in Revision Problems. - Fabian Schmidt; Jörg Gebhardt; Rudolf Kruse (SMPS, 2016)

Decomposable Graphical Models on Learning, Fusion and Revision. - Fabian Schmidt; Jörg Gebhardt; Rudolf Kruse (WCSC, 2016)

Towards the Shop Floor App Ecosystem: Using the Semantic Web for Gluing Together Apps into Mashups. - Andrei Miclaus; Wolfgang Clauss; Eugen Schwert; Martin Alexander Neumann; Ferdinand Mütsch; Till Riedel; Fabian Schmidt; Michael Beigl (WoT, 2016)

Mixed Methods Approach: Reconstructing Local Identities in Context of Local Referenda. - André Schmale; Volker Mittendorf; Fabian Schmidt (SNAMS, 2020)

A backward encoding approach to recover subcortical auditory activity. - Fabian Schmidt; Gianpaolo Demarchi; Florian Geyer; Nathan Weisz (NeuroImage, 2020)

CoAx: Collaborative Action Dataset for Human Motion Forecasting in an Industrial Workspace. - Dimitrios Lagamtzis; Fabian Schmidt; Jan R. Seyler; Thao Dang 002 (ICAART (3), 2022)

Using Machine Learning to Recommend Personalized Modular Treatments for Common Mental Health Disorders. - Fabian Schmidt; Karin Hammerfald; Henrik Haaland Jahren; Ole André Solbakken; Amir Hossein Payberah; Vladimir Vlassov (ICDH, 2023)

Exploiting Spatio-Temporal Human-Object Relations Using Graph Neural Networks for Human Action Recognition and 3D Motion Forecasting. - Dimitrios Lagamtzis; Fabian Schmidt; Jan R. Seyler; Thao Dang 002; Steffen Schober (IROS, 2023)

Speech intelligibility changes the temporal evolution of neural speech tracking. - Ya-Ping Chen; Fabian Schmidt; Anne Keitel; Sebastian Rösch; Anne Hauswald; Nathan Weisz (NeuroImage, 2023)

Parameterized Cortical Power Spectra as a Novel Neural Feature for Real Time BCI. - Payam S. Shabestari; Tobias Kleinjung; Fabian Schmidt; Patrick Neff (BCI, 2024)

Multimodal survival prediction using TabTransformer and BioClinicalBERT on MIMIC-III. - Beatrice Insalata; Fabian Schmidt; Vladimir Vlassov (IEEE Big Data, 2024)

Single-pass Hierarchical Text Classification with Large Language Models. - Fabian Schmidt; Karin Hammerfald; Henrik Haaland Jahren; Amir Hossein Payberah; Vladimir Vlassov (IEEE Big Data, 2024)

Leveraging Machine Learning Models to Predict the Outcome of Digital Medical Triage Interviews. - Sofia Krylova; Fabian Schmidt; Vladimir Vlassov (ICMLA, 2024)

Visual-Inertial SLAM for Agricultural Robotics: Benchmarking the Benefits and Computational Costs of Loop Closing. - Fabian Schmidt; Constantin Blessing; Markus Enzweiler; Abhinav Valada (CoRR, 2024)

Vulnerability Handling of AI-Generated Code - Existing Solutions and Open Challenges. - Sabrina Kaniewski; Dieter Holstein; Fabian Schmidt; Tobias Heer (CoRR, 2024)

ROVER: A Multi-Season Dataset for Visual SLAM. - Fabian Schmidt; Constantin Blessing; Markus Enzweiler; Abhinav Valada (CoRR, 2024)

NeRF and Gaussian Splatting SLAM in the Wild. - Fabian Schmidt; Markus Enzweiler; Abhinav Valada (CoRR, 2024)

ROVER: A Multiseason Dataset for Visual SLAM. - Fabian Schmidt; Julian Daubermann; Marcel Mitschke; Constantin Blessing; Stephan Meyer; Markus Enzweiler; Abhinav Valada (IEEE Trans. Robotics, 2025)

CFiCS: Graph-Based Classification of Common Factors and Microcounseling Skills. - Fabian Schmidt; Karin Hammerfald; Henrik Haaland Jahren; Vladimir Vlassov (CoRR, 2025)

PyRASA - Spectral parametrization in python based on IRASA. - Fabian Schmidt; Nathan Weisz; Thomas Hartmann 003 (J. Open Source Softw., 2025)

A Systematic Literature Review on Detecting Software Vulnerabilities with Large Language Models. - Sabrina Kaniewski; Fabian Schmidt; Markus Enzweiler; Michael Menth; Tobias Heer (CoRR, 2025)