63 citations · 127 across the 7 of their papers we have counts for
7 papers
Counterfactual-based Root Cause Analysis for Dynamical Systems
Juliane Weilbach, Sebastian Gerwinn, Karim Barsim +1
Identifying the underlying reason for a failing dynamic process or otherwise anomalous observation is a fundamental challenge, yet has numerous industrial applications. Identifying…
Variation-based Cause Effect Identification
Mohamed Amine ben Salem, Karim Said Barsim, Bin Yang
Mining genuine mechanisms underlying the complex data generation process in real-world systems is a fundamental step in promoting interpretability of, and thus trust in, data-drive…
Validation of Composite Systems by Discrepancy Propagation
David Reeb, Kanil Patel, Karim Barsim +2
Assessing the validity of a real-world system with respect to given quality criteria is a common yet costly task in industrial applications due to the vast number of required real-…
Multi-level Attention Model for Weakly Supervised Audio Classification
Changsong Yu, Karim Said Barsim, Qiuqiang Kong +1
In this paper, we propose a multi-level attention model to solve the weakly labelled audio classification problem. The objective of audio classification is to predict the presence…
Neural Network Ensembles to Real-time Identification of Plug-level Appliance Measurements
Karim Said Barsim, Lukas Mauch, Bin Yang
The problem of identifying end-use electrical appliances from their individual consumption profiles, known as the appliance identification problem, is a primary stage in both Non-I…
On the Feasibility of Generic Deep Disaggregation for Single-Load Extraction
Karim Said Barsim, Bin Yang
Recently, and with the growing development of big energy datasets, data-driven learning techniques began to represent a potential solution to the energy disaggregation problem outp…