3 papers
cs.LG2025
Reproducibility of Machine Learning-Based Fault Detection and Diagnosis for HVAC Systems in Buildings: An Empirical Study
Adil Mukhtar, Michael Hadwiger, Franz Wotawa +1
Reproducibility is a cornerstone of scientific research, enabling independent verification and validation of empirical findings. The topic gained prominence in fields such as psych…
cs.NE2025
Optimized Spectral Fault Receptive Fields for Diagnosis-Informed Prognosis
Stan Muñoz Gutiérrez, Franz Wotawa
This paper introduces Spectral Fault Receptive Fields (SFRFs), a biologically inspired technique for degradation state assessment in bearing fault diagnosis and remaining useful li…
cs.SE2024
Investigating Reproducibility in Deep Learning-Based Software Fault Prediction
Adil Mukhtar, Dietmar Jannach, Franz Wotawa
Over the past few years, deep learning methods have been applied for a wide range of Software Engineering (SE) tasks, including in particular for the important task of automaticall…