Jihed Khiari


Universitätsassistentin

Lehrstuhl für Nachhaltige Transportlogistik 4.0

Curriculum Vitae

Jihed Khiari studierte Informatik und Ingenieurwesen mit Spezialisierung auf maschinelles Lernen. Ihre aktuelle Forschung konzentriert sich auf die Entwicklung maschineller Lerntechniken für intelligente Transportsysteme.


Maschinelles Lernen, Datenwissenschaft, Intelligente Transportsysteme

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Publikationen

Peer Reviewed Journal and Conference Proceedings Papers

  • Khiari, J., Olaverri-Monreal, C. (2020). Boosting Algorithms for Delivery Time Prediction in Transportation Logistics, IEEE International Conference on Data Mining, 1st Workshop on Large-scale Industrial Time Series Analysis, arXiv preprint arXiv:2009.11598
  • Goyal, A., & Khiari, J. (2020). Diversity-Aware Weighted Majority Vote Classifier for Imbalanced Data, 2020 International Joint Conference on Neural Networks (pp. 1–8). https://doi.org/10.1109/ijcnn48605.2020.9207261
  • 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. https://doi.org/10.1109/TKDE.2018.2883616
  • 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. https://doi.org/10.1007/978-3-030-10925-7_39
  • 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. https://doi.org/10.1109/TITS.2018.2867834
  • 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. https://doi.org/10.1007/978-3-319-46349-0_9
  • 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. https://doi.org/10.1007/978-3-319-31753-3_44