Toward a semi-supervised non-intrusive load monitoring system for event-based energy disaggregation. - Karim Said Barsim; Bin Yang 009 (GlobalSIP, 2015)

A new unsupervised event detector for non-intrusive load monitoring. - Benjamin Wild; Karim Said Barsim; Bin Yang 009 (GlobalSIP, 2015)

Multi-level attention model for weakly supervised audio classification. - Changsong Yu; Karim Said Barsim; Qiuqiang Kong; Bin Yang 009 (DCASE, 2018)

Ensemble Learning to EEG-Based Brain Computer Interfaces with Applications on P300-Spellers. - Karim Said Barsim; Wangbo Zheng; Bin Yang 009 (SMC, 2018)

Selective Sampling and Mixture Models in Generative Adversarial Networks. - Karim Said Barsim; Lirong Yang; Bin Yang 009 (CoRR, 2018)

On the Feasibility of Generic Deep Disaggregation for Single-Load Extraction. - Karim Said Barsim; Bin Yang 009 (CoRR, 2018)

Neural Network Ensembles to Real-time Identification of Plug-level Appliance Measurements. - Karim Said Barsim; Lukas Mauch; Bin Yang 009 (CoRR, 2018)

Machine learning for end-use electrical energy monitoring. - Karim Said Barsim (2021)

Variation-based Cause Effect Identification. - Mohamed Amine ben Salem; Karim Said Barsim; Bin Yang 009 (CoRR, 2022)

Validation of composite systems by discrepancy propagation. - David Reeb; Kanil Patel; Karim Said Barsim; Martin Schiegg; Sebastian Gerwinn (UAI, 2023)

Causal Knowledge in Data Fusion: Systematic Evaluation on Quality Prediction and Root Cause Analysis. - Jingyi Yu; Tim Pychynski; Karim Said Barsim; Marco F. Huber (FUSION, 2024)

Counterfactual-Based Root Cause Analysis for Dynamical Systems. - Juliane Weilbach; Sebastian Gerwinn; Karim Said Barsim; Martin Fränzle (ECML/PKDD (6), 2024)