Jihed Khiari

Research Assistant

Chair for Sustainable Transport Logistics 4.0

Curriculum Vitae

About

Jihed Khiari studied Computer Science and Engineering with a specialization in Machine Learning. Her current work is focused on developing machine learning techniques for intelligent transportation systems.

Research Interests

Machine Learning, Data Science, Intelligent Transportation Systems

ORCID

https://orcid.org/0000-0002-1514-060X, opens an external URL in a new window

Publications

Khiari, J., & Olaverri-Monreal, C. (2023). "Uncertainty-Aware Vehicle Energy Efficiency Prediction Using an Ensemble of Neural Networks". In IEEE Intelligent Transportation Systems Magazine, vol. 15, no. 5, pp. 109-119, Sept.-Oct. 2023, doi: 10.1109/MITS.2023.3268032, opens an external URL in a new window
Khiari, J., & Olaverri-Monreal, C. (2022). "Uncertainty-Aware Prediction of Battery Energy Consumption for Hybrid Electric Vehicles". In 33^nd IEEE Intelligent Vehicles Symposium (IV), Aachen, Germany. https://doi.org/10.1109/IV51971.2022.9827458, opens an external URL in a new window
Khiari, J., & Olaverri-Monreal, C. (2020). Boosting Algorithms for Delivery Time Prediction in Transportation Logistics. In 2020 International Conference on Data Mining Workshops (ICDMW) (pp. 251-258). IEEE. https://doi.org/10.1109/ICDMW51313.2020.00043, opens an external URL in a new window
Goyal, A., & Khiari, J. (2020). Diversity-Aware Weighted Majority Vote Classifier for Imbalanced Data, 2020 International Joint Conference on Neural Networks (pp. 1–8). doi.org/10.1109/ijcnn48605.2020.9207261, opens an external URL in a new window
Saadallah, A., Moreira-Matias, L., Sousa, R., Khiari, J., Jenelius, E., & Gama, J. (2020). BRIGHT - Drift-Aware Demand Predictions for Taxi Networks. IEEE Transactions on Knowledge and Data Engineering, 32(2), 234–245. doi.org/10.1109/TKDE.2018.2883616, opens an external URL in a new window
Khiari, J., Moreira-Matias, L., Shaker, A., Ženko, B., & Džeroski, S. (2019). MetaBags: Bagged meta-decision trees for regression. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11051 LNAI, pp. 637–652). Springer Verlag. doi.org/10.1007/978-3-030-10925-7_39, opens an external URL in a new window
Cerqueira, V., Moreira-Matias, L., Khiari, J., & Van Lint, H. (2018). On Evaluating Floating Car Data Quality for Knowledge Discovery. IEEE Transactions on Intelligent Transportation Systems, 19(11), 3749–3760. doi.org/10.1109/TITS.2018.2867834, opens an external URL in a new window
Hassan, S. M., Moreira-Matias, L., Khiari, J., & Cats, O. (2016). Feature selection issues in long-term travel time prediction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9897 LNCS, pp. 98–109). Springer Verlag. doi.org/10.1007/978-3-319-46349-0_9, opens an external URL in a new window
Khiari, J., Moreira-Matias, L., Cerqueira, V., & Cats, O. (2016). Automated setting of bus schedule coverage using unsupervised machine learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9651, pp. 552–564). Springer Verlag. doi.org/10.1007/978-3-319-31753-3_44, opens an external URL in a new window

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Jihed Khiari

Curriculum Vitae

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LVA

Publications

Jihed Khiari

Curriculum Vitae

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Publications

Peer Reviewed Journal and Conference Proceedings Papers