Bernhard A. Moser

Johannes Kepler University of Linz — Austria

Computer Science · Physical Sciences

9h-index338citations27works2.12yr avg
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Research Topics

Neural Networks and Applications(5), Anomaly Detection Techniques and Applications(5), Adversarial Robustness in Machine Learning(5), Explainable Artificial Intelligence (XAI)(4), Sparse and Compressive Sensing Techniques(3)

Publications27 total

Event-Based ADCs vs. Nyquist ADCs: Rethinking Performance Metrics
2025· 1 cited
Spiking Neural Network Accelerator Architecture for Differential-Time Representation using Learned Encoding
2025· 2 cited
A Hardware Architecture for Efficient Adaptive Threshold-Based Sampling using Weyl’s Discrepancy
2025
Lightweight LIF-only SNN accelerator using differential time encoding
arXiv (Cornell University)·2025Open Access
Spiking Neural Network Accelerator Architecture for Differential-Time Representation using Learned Encoding
arXiv (Cornell University)·2025· 1 citedOpen Access
CantorNet: A Sandbox for Testing Geometrical and Topological Complexity Measures
arXiv (Cornell University)·2024Open Access
Managing human-AI collaborations within Industry 5.0 scenarios via knowledge graphs: key challenges and lessons learned
Frontiers in Artificial Intelligence·2024· 15 citedOpen Access
On the Robustness of Out-of-Distribution Detection Methods for Camera-based Systems
2024
RobustHAR: Multi-scale Spatial-temporal Masked Self-supervised Pre-training for Robust Human Activity Recognition
2024Open Access
SNN Architecture for Differential Time Encoding Using Decoupled Processing Time
2024· 2 cited
Towards Integrating Knowledge Graphs into Process-Oriented Human-AI Collaboration in Industry
Lecture notes in business information processing·2024· 2 cited
Leveraging Semantic Representations via Knowledge Graph Embeddings
2023· 1 citedOpen Access
An Information Theoretic Approach to Privacy-Preserving Interpretable and Transferable Learning
Algorithms·2023· 2 citedOpen Access
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning
ACM Computing Surveys·2023· 118 citedOpen Access
On the Discriminability of Samples Using Binarized ReLU Activations
Lecture notes in electrical engineering·2023· 1 cited
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning
arXiv (Cornell University)·2022· 8 citedOpen Access
A Systematic Mapping Study of Predictive Maintenance in SMEs
IEEE Access·2022· 30 citedOpen Access
A Comparative Analysis of Anomaly Detection Methods for Predictive Maintenance in SME
Communications in computer and information science·2022· 15 cited
Information Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for a Novel Trustworthy AI Framework.
arXiv (Cornell University)·2021· 1 citedOpen Access
Database and Expert Systems Applications - DEXA 2021 Workshops
Communications in computer and information science·2021· 13 cited
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Frequent Co-authors

Michael Lunglmayr(8), Lukas Fischer(7), Werner Zellinger(6), Mohit Kumar(4), Florian Sobieczky(4), Mario Pichler(4), Jorge Martínez-Gil(4), Daniel Windhager(4), Maqbool Khan(3), Franz Krause(3), Elmar Kiesling(3), Kabul Kurniawan(3), Bernhard Heinzl(3), Hamid Eghbal-zadeh(3), Lothar Ratschbacher(3), Antonio Emanuele Ciná(2), Kathrin Grosse(2), Ambra Demontis(2), Sebastiano Vascon(2), Alina Oprea(2)