9 citations · 15 across the 10 of their papers we have counts for
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cs.LG2023
Rule-Extraction Methods From Feedforward Neural Networks: A Systematic Literature Review
Sara El Mekkaoui, Loubna Benabbou, Abdelaziz Berrado
Motivated by the interpretability question in ML models as a crucial element for the successful deployment of AI systems, this paper focuses on rule extraction as a means for neura…
cs.LG2023★ 9 cited
Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context
Oussama Boussif, Ghait Boukachab, Dan Assouline +4
Solar power harbors immense potential in mitigating climate change by substantially reducing CO emissions. Nonetheless, the inherent variability of solar irradiance poses a s…