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Julian Schauer

Observed names: J. Schauer, Schauer, Julian
ORCID: 0009-0002-2830-1166
Observed ORCID: 0009-0002-2830-1166
OpenAlex ID: A5108948937
A Performance Study of Deep Neural Network Representations of Interpretable ML on Edge Devices with AI Accelerators
2025 · Julian Schauer, Payman Goodarzi, et al. · Sensors · 11
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Robust Distribution-Aware Ensemble Learning for Multi-Sensor Systems
2025 · Payman Goodarzi, Julian Schauer, et al. · Sensors · 8
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Efficient hardware implementation of interpretable machine learning based on deep neural network representations for sensor data processing
2025 · Julian Schauer, Payman Goodarzi, et al. · Journal of sensors and sensor systems · 6
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Deep Neural Network Representation for Explainable Machine Learning Algorithms: A Method for Hardware Acceleration
2024 · Julian Schauer, Payman Goodarzi, et al. · IEEE International Instrumentation and Measurement Technology Conference · 5
P36 - Eine Methode zur erklärbaren Merkmalsextraktion aus dem Zeit- und Frequenzbereich für Condition Monitoring
2024 · C. Fuchs, S. Klein, et al. · Poster · 4
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A Machine Learning Dataset of Artificial Inner Ring Damage on Cylindrical Roller Bearings Measured Under Varying Cross-Influences
2025 · Christopher Schnur, Payman Goodarzi, et al. · Data · 3
Feature Extraction Based On Signal Similarity for Damage Detection with Ultrasonic Guided Waves
2025 · Houssam El Moutaouakil, Vittorio Memmolo, et al. · IEEE International Instrumentation and Measurement Technology Conference · 2
Energy-Efficient Implementation of Explainable Feature Extraction Algorithms for Smart Sensor Data Processing
2024 · Julian Schauer, Payman Goodarzi, et al. · Proceedings of IEEE Sensors/Proceedings of IEEE Sensors ... · 2
A1.4 - Deep Neural Network Repräsentation für interpretierbare Machine Learning Algorithmen: Eine Methode zur effizienten Hardware-Beschleunigung
2024 · J. Schauer, P. Goodarzi, et al. · 1
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Interpretable Calibration Transfer and Drift Compensation for MOS Gas Sensors in Complex Gas Mixtures
2026 · Julian Schauer, Jannis Morsch, et al. · Sensors
Model-Based Calibration Transfer for Interpretable Machine Learning in MOS Gas Sensing
2026 · Julian Schauer, Jannis Morsch, et al. · IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)
An Interpretable Machine Learning Approach for Condition Monitoring of Screwdriver Bits Based on Time-Frequency Features and Vibration Analysis
2026 · Houssam El Moutaouakil, Julian Schauer, et al. · IEEE International Instrumentation and Measurement Technology Conference
Robuste und sichere Edge-Elektronik für Industrieprozesse und kritische Infrastrukturen (Edge-Power); Teilvorhaben: Effiziente Inferenz von interpretierbaren Machine Learning Algorithmen auf KI-Beschleunigern
2026 · Schütze, Andreas, Schauer, Julian · RENATE
Robuste und sichere Edge-Elektronik für Industrieprozesse und kritische Infrastrukturen (Edge-Power); Teilvorhaben: Konzepte für KI-Edge-Computing zur dezentralen Verarbeitung großer Datenmengen in Industrieprozessen
2026 · Schütze, Andreas, Schauer, Julian · RENATE
Interpretable Calibration Transfer and Drift Compensation for MOS Gas Sensors in Complex Gas Mixtures
2026 · Schauer, Julian, Morsch, Jannis, et al. · Publications of the UdS (Saarland University)
M2-2.4 - Enable Transferability of interpretable ML Models for Bearing Diagnostic in Changing Operating Conditions
2026 · J. Schauer, H. El Moutaouakil, et al.
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M3-2.3 - A Dataset for Condition Monitoring of Screwdriver Bits based on a Piezoelectric Accelerometer for Machine Learning
2026 · H. El Moutaouakil, J. Schauer, et al.
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Efficient Distribution-Aware Ensemble Learning for Multi-Sensor Systems
2025 · Payman Goodarzi, Julian Schauer, et al. · IEEE International Instrumentation and Measurement Technology Conference
Energy-Efficient Implementation of Explainable Feature Extraction Algorithms for Smart Sensor Data Processing
2024 · Schauer, Julian, Goodarzi, Payman, et al. · Publications of the UdS (Saarland University)
Deep Neural Network Representation for Explainable Machine Learning Algorithms: A Method for Hardware Acceleration
2024 · Schauer, Julian, Goodarzi, Payman, et al. · Publications of the UdS (Saarland University)
Works count: 25
Citation count: 43
H-index: 4
I10-index: 1
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