Yassine Baghoussi

Orcid: 0000-0002-1943-1471

According to our database1, Yassine Baghoussi authored at least 11 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2025
KDBI special issue: Explainability feature selection framework application for LSTM multivariate time-series forecast self optimization.
Expert Syst. J. Knowl. Eng., February, 2025

2024
Corrector LSTM: built-in training data correction for improved time-series forecasting.
Neural Comput. Appl., September, 2024

Enhancing Forecasting using Read & Write Recurrent Neural Networks
PhD thesis, 2024

On-the-fly Data Augmentation for Forecasting with Deep Learning.
CoRR, 2024

Kernel Corrector LSTM.
Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

2023
Interpreting What is Important: An Explainability Approach and Study on Feature Selection.
Proceedings of the Progress in Artificial Intelligence, 2023

2021
Pastprop-RNN: improved predictions of the future by correcting the past.
CoRR, 2021

2020
Underground Train Tracking using Mobile Phone Accelerometer Data.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2018
Instance-Based Stacked Generalization for Transfer Learning.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Updating a robust optimization model for improving bus schedules.
Proceedings of the 10th International Conference on Communication Systems & Networks, 2018

2016
An agent-based model of the Earth system & climate change.
Proceedings of the IEEE International Smart Cities Conference, 2016


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