VenDASys - A Versatile Experimentation Platform for Educational Purposes. - René Sallier; Rüdiger Mißler; Benjamin Brück; Andreas Schütze (Int. J. Online Eng., 2010)

Improved Cooperation between Schools and Science Labs by Adapting Experiments to the Curriculum. - René Sallier; Katja Beckhäuser; Benjamin Brück; Andreas Schütze (Int. J. Online Eng., 2011)

An integrated approach for enhancing the interest of pupils in natural sciences and engineering. - René Sallier; Katja Beckhäuser; Benjamin Brück; Andreas Schütze (EDUCON, 2012)

Routes for GMR-Sensor Design in Non-Destructive Testing. - Matthias Pelkner; Andreas Neubauer; Verena Reimund; Marc Kreutzbruck; Andreas Schütze (Sensors, 2012)

Influence of MOS Gas-Sensor Production Tolerances on Pattern Recognition Techniques in Electronic Noses. - Christian Krutzler; Alexander Unger; Harald Marhold; Thomas Fricke; Thorsten Conrad; Andreas Schütze (IEEE Trans. Instrum. Meas., 2012)

ICM-Wind: semantics-empowered fluid condition monitoring of wind turbines. - Matthias Klusch; Ankush Prabhu Meshram; Patrick Kapahnke; Andreas Schütze (SAC, 2014)

iCM-Hydraulic: semantics-empowered condition monitoring of hydraulic machines. - Matthias Klusch; Ankush Prabhu Meshram; Andreas Schütze; Nikolai Helwig (SEMANTiCS, 2015)

Condition monitoring of a complex hydraulic system using multivariate statistics. - Nikolai Helwig; Eliseo Pignanelli; Andreas Schütze (I2MTC, 2015)

Characterizing the influence of gate bias on electrical and catalytical properties of a porous platinum gate on field effect gas sensors. - Manuel Bastuck; Donatella Puglisi; Anita Lloyd Spetz; Andreas Schütze; Mike Andersson (IEEE SENSORS, 2016)

Integrated pre-concentrator gas sensor system for improved trace gas sensing performance. - Martin Leidinger; Tilman Sauerwald; Andreas Schütze; Christine Alepee; Max Rieger (IEEE SENSORS, 2016)

Fusing cyclic sensor data with different cycle length. - Manuel Bastuck; Tobias Baur 002; Andreas Schütze (MFI, 2016)

Automatic feature extraction and selection for condition monitoring and related datasets. - Tizian Schneider; Nikolai Helwig; Andreas Schütze (I2MTC, 2018)

Facile Quantification and Identification Techniques for Reducing Gases over a Wide Concentration Range Using a MOS Sensor in Temperature-Cycled Operation. - Caroline Schultealbert; Tobias Baur 002; Andreas Schütze; Tilman Sauerwald (Sensors, 2018)

Condition monitoring of hydraulic systems. - Nikolai Helwig; Eliseo Pignanelli; Andreas Schütze (UCI Machine Learning Repository, 2018)

Metrology for the factory of the future: towards a case study in condition monitoring. - Tanja Dorst; Björn Ludwig; Sascha Eichstädt; Tizian Schneider; Andreas Schütze (I2MTC, 2019)

Combination of Human and Machine Intelligence to Optimize Assembly. - Tizian Schneider; Steffen Klein; Anne Blum; Leonie Schirmer; Rainer Müller; Andreas Schütze (SA, 2019)

Graphene Decorated with Iron Oxide Nanoparticles for Highly Sensitive Interaction with Volatile Organic Compounds. - Marius Rodner; Donatella Puglisi; Sebastian Ekeroth; Ulf Helmersson; Ivan Shtepliuk; Rositsa Yakimova; Andreas Skallberg; Kajsa Uvdal; Andreas Schütze; Jens Eriksson (Sensors, 2019)

Machine Learning based calibration time reduction for Gas Sensors in Temperature Cycled Operation. - Yannick Robin; Payman Goodarzi; Tobias Baur 002; Caroline Schultealbert; Andreas Schütze; Tizian Schneider (I2MTC, 2021)

Modeling of the Function Principle of Semiconductor Gas Sensors for High School Students. - Sebastian Höfner; Michael Hirth; Jochen Kuhn; Benjamin Brück; Andreas Schütze (Int. J. Online Biomed. Eng., 2021)

Calibration of Metal Oxide Semiconductor Gas Sensors by High School Students. - Sebastian Höfner; Andreas Schütze; Michael Hirth; Jochen Kuhn; Benjamin Brück (Int. J. Online Biomed. Eng., 2021)

Microstructured MOS Gas Sensor as GC detector. - Oliver Brieger; Julian Joppich; Caroline Schultealbert; Tobias Baur 002; Christian Bur; Andreas Schütze (ISOEN, 2022)

MOS Gas Sensors for Food Quality Monitoring using GC- MS and Human Perception as Reference. - Julian Joppich; Oliver Brieger; Ksenia Karst; Daniel Becher; Christian Bur; Andreas Schütze (ISOEN, 2022)

Calibration of Sensor Systems for Odor Monitoring: an Approach and its Limits. - Julian Joppich; Wolfhard Reimringer; Thorsten Conrad; Bettina Mannebeck; Christoph Mannebeck; Christian Bur; Andreas Schütze (ISOEN, 2022)

A Modular Sensor System Design for Instrumental Odor Monitoring. - Wolfhard Reimringer; Julian Joppich; Martin Leidinger; Caroline Schultealbert; Andreas Schütze; Thorsten Conrad (ISOEN, 2022)

Transfer Learning to Significantly Reduce the Calibration Time of MOS Gas Sensors. - Yannick Robin; Johannes Amann; Payman Goodarzi; Andreas Schütze; Christian Bur (ISOEN, 2022)

Towards Interpretable Machine Learning for Automated Damage Detection Based on Ultrasonic Guided Waves. - Christopher Schnur; Payman Goodarzi; Yevgeniya Lugovtsova; Jannis Bulling; Jens Prager; Kilian Tschöke; Jochen Moll; Andreas Schütze; Tizian Schneider (Sensors, 2022)

Comparing Different Feature Extraction Methods in Condition Monitoring Applications. - Payman Goodarzi; Steffen Klein; Andreas Schütze; Tizian Schneider (I2MTC, 2023)

Comparison of Explainable Machine Learning Algorithms for Optimization of Virtual Gas Sensor Arrays. - Yannick Robin; Johannes Amann; Payman Goodarzi; Tizian Schneider; Andreas Schütze; Christian Bur (I2MTC, 2023)

Development of a bearing test-bed for acquiring data for robust and transferable machine learning. - Christopher Schnur; Yannick Robin; Payman Goodarzi; Tanja Dorst; Andreas Schütze; Tizian Schneider (I2MTC, 2023)

MOS Sensors Characterizing Gas Absorption Dynamics for Art Conservation. - Oliver Brieger; My Sa Marschibois; Gerhard Eggert; Andreas Schütze; Christian Bur (SENSORS, 2023)

Deep convolutional neural networks for cyclic sensor data. - Payman Goodarzi; Yannick Robin; Andreas Schütze; Tizian Schneider (CoRR, 2023)

Comparing AutoML and Deep Learning Methods for Condition Monitoring using Realistic Validation Scenarios. - Payman Goodarzi; Andreas Schütze; Tizian Schneider (CoRR, 2023)

Modelling of Networked Measuring Systems - From White-Box Models to Data Based Approaches. - Klaus-Dieter Sommer; Peter Harris; Sascha Eichstädt; Roland Füssl; Tanja Dorst; Andreas Schütze; Michael Heizmann; Nadine Schiering; Andreas Maier 001; Yuhui Luo; Christos Tachtatzis; Ivan Andonovic; et al. (CoRR, 2023)

Qualification of an IR Test Bench for Hydrogen Quality at High Pressure. - Sebastian Pültz; Torsten Bley; Tizian Schneider; Andreas Schütze (I2MTC, 2024)

Deep Neural Network Representation for Explainable Machine Learning Algorithms: A Method for Hardware Acceleration. - Julian Schauer; Payman Goodarzi; Andreas Schütze; Tizian Schneider (I2MTC, 2024)

Energy-Efficient Implementation of Explainable Feature Extraction Algorithms for Smart Sensor Data Processing. - Julian Schauer; Payman Goodarzi; Andreas Schütze; Tizian Schneider (IEEE SENSORS, 2024)

Transfer Learning Between Two Different Datasets of MOS Gas Sensors. - Dennis Arendes; Yannick Robin; Johannes Amann; Annika Petto; Andreas Schütze; Christian Bur (ISOEN, 2024)

Monitoring of Propofol in an Ex Vivo Lung Model. - Christian Bur; Ksenia Karst; Felix Maurer; Stefan Radermacher; Sascha Kreuer; Andreas Schütze (ISOEN, 2024)

Efficient Distribution-Aware Ensemble Learning for Multi-Sensor Systems. - Payman Goodarzi; Julian Schauer; Andreas Schütze (I2MTC, 2025)

Feature Extraction Based On Signal Similarity for Damage Detection with Ultrasonic Guided Waves. - Houssam El Moutaouakil; Vittorio Memmolo; Julian Schauer; Payman Goodarzi; Tizian Schneider; Andreas Schütze (I2MTC, 2025)