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README.md

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## References
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- Probabilistic Forecasting with Randomized/Quasi-Randomized networks at the International Symposium on Forecasting_2024 https://www.researchgate.net/publication/381957724_Probabilistic_Forecasting_with_RandomizedQuasi-Randomized_networks_presentation_at_the_International_Symposium_on_Forecasting_2024
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- Probabilistic Forecasting with nnetsauce (using Density Estimation, Bayesian inference, Conformal prediction and Vine copulas): nnetsauce presentation at sktime meetup (2024) https://www.researchgate.net/publication/382589729_Probabilistic_Forecasting_with_nnetsauce_using_Density_Estimation_Bayesian_inference_Conformal_prediction_and_Vine_copulas
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- Probabilistic Forecasting with Randomized/Quasi-Randomized networks at the International Symposium on Forecasting (2024) https://www.researchgate.net/publication/381957724_Probabilistic_Forecasting_with_RandomizedQuasi-Randomized_networks_presentation_at_the_International_Symposium_on_Forecasting_2024
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- Moudiki, T. (2024). Regression-based machine learning classifiers. Available at: https://www.researchgate.net/publication/377227280_Regression-based_machine_learning_classifiers
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