Dr ISAAC TRIGUERO VELAZQUEZ's Outputs (2)

Machine Learning Pipeline for Energy and Environmental Prediction in Cold Storage Facilities (2024)
Journal Article
Alkhulaifi, N., Bowler, A. L., Pekaslan, D., Serdaroglu, G., Closs, S., Watson, N. J., & Triguero, I. (2024). Machine Learning Pipeline for Energy and Environmental Prediction in Cold Storage Facilities. IEEE Access, 12, 153935-153951. https://doi.org/10.1109/access.2024.3482572

As energy demands and costs rise, enhancing energy efficiency in Food and Drink Cold Storage (FDCS) rooms is important for reducing expenses and achieving environmental sustainability ambitions. Forecasting electricity use in FDCSs can help optimise... Read More about Machine Learning Pipeline for Energy and Environmental Prediction in Cold Storage Facilities.

SEGAL time series classification — Stable explanations using a generative model and an adaptive weighting method for LIME (2024)
Journal Article
Meng, H., Wagner, C., & Triguero, I. (2024). SEGAL time series classification — Stable explanations using a generative model and an adaptive weighting method for LIME. Neural Networks, 176, 106345. https://doi.org/10.1016/j.neunet.2024.106345

Local Interpretability Model-agnostic Explanations (LIME) is a well-known post-hoc technique for explaining black-box models. While very useful, recent research highlights challenges around the explanations generated. In particular, there is a potent... Read More about SEGAL time series classification — Stable explanations using a generative model and an adaptive weighting method for LIME.