Congratulations to UBC DAIS Lab students and collaborators for their new papers in the IFAC World Congress 2023!
Interpretable Soft Sensors using Extremely Randomized Trees and SHAP
In Proceedings of the 22nd IFAC World Congress (To Appear). 2023 [PDF] [Slides] [Video]
Data Quality Over Quantity: Pitfalls and Guidelines for Process Analytics
In Proceedings of the 22nd IFAC World Congress (To Appear). 2023 [PDF] [Slides] [Video] [arXiv]
A modular framework for stabilizing deep reinforcement learning control
In Proceedings of the 22nd IFAC World Congress (To Appear). 2023 [PDF] [Slides] [Video] [arXiv]
Reinforcement Learning with Partial Parametric Model Knowledge
In Proceedings of the 22nd IFAC World Congress (To Appear). 2023 [PDF] [Video] [arXiv]
Neural network and Sparse Identification of Nonlinear Dynamics Integrated Algorithm for Digital Twin Identification
In Proceedings of the 22nd IFAC World Congress (To Appear). 2023 [PDF] [Slides] [Video]
Frequent Event Pattern Extraction of Drilling Time Series Using Change Point Detection and Event Sequence Generation (I)
In Proceedings of the 22nd IFAC World Congress (To Appear). 2023 [PDF] [Slides] [Video]