Personen:
Shayan Jawed, M.Sc.
Kontakt:
Telefon: | 05121 / 883-40398 |
E-Mail: | ![]() |
Postanschrift:
Wirtschaftsinformatik und Maschinelles Lernen
Universitätsplatz 1
Universität Hildesheim
31141 Hildesheim
Wirtschaftsinformatik und Maschinelles Lernen
Universitätsplatz 1
Universität Hildesheim
31141 Hildesheim
Besuchsadresse:
Wirtschaftsinformatik und Maschinelles Lernen
Samelsonplatz 1
Universität Hildesheim
31141 Hildesheim
Wirtschaftsinformatik und Maschinelles Lernen
Samelsonplatz 1
Universität Hildesheim
31141 Hildesheim
Teaching:
- Computer Vision, Summer Term 2019
- Planning and Optimal Control, Winter Term 2018/2019
- Bayesian Networks, Summer Term 2018
- Machine Learning, Winter Term 2017/2018
- Shayan Jawed, Kiran Madhusudhanan, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme (2023):
Forecasting Early with Meta Learning, in Proceedings of the 2023 IEEE International Joint Conference on Neural Networks (IEEE IJCNN 2023). - Shayan Jawed, Lars Schmidt-Thieme (2022):
GQFormer: A Multi-Quantile Generative Transformer for Time Series Forecasting, in Proceedings of the 2022 IEEE International Conference on Big Data (IEEE BigData 2022). - Shayan Jawed, Lars Schmidt-Thieme (2022):
FQFormer: A Fully Quantile Transformer for Time Series Forecasting, in 8th SIGKDD International Workshop on Mining and Learning from Time Series--Deep Forecasting: Models, Interpretability, and Applications. - Shayan Jawed, Hadi S. Jomaa, Lars Schmidt-Thieme, Josif Grabocka (2021):
Multi-task Learning Curve Forecasting Across Hyperparameter Configurations and Datasets, in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021). - Shayan Jawed, Mofassir ul Islam Arif, Ahmed Rashed, Kiran Madhusudhanan, Shereen Elsayed, Mohsan Jameel, Alexei Volk, Andre Hintsches, Marlies Kornfeld, Katrin Lange, Lars Schmidt-Thieme (2022):
AI and Data-Driven Mobility at Volkswagen Financial Services AG, in arXiv. - Ahmed Rashed, Shayan Jawed, Lars Schmidt-Thieme (2020):
MultiRec: A Multi-Relational Approach for Unique Item Recommendation in Auction Systems, in 14th ACM Recommender Systems Conference (RecSys 2020). - Shayan Jawed, Josif Grabocka, Lars Schmidt-Thieme (2020):
Self-Supervised Learning for Semi-Supervised Time Series Classification, in Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020). - Mohsan Jameel, Shayan Jawed, Lars Schmidt-Thieme (2020):
Optimal Topology Search for Fast Model Averaging in Decentralized Parallel SGD, in Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020). - Shayan Jawed, Ahmed Rashed, Lars Schmidt-Thieme (2019):
Multi-step Forecasting via Multi-task Learning, in Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData 2019) In The IEEE Big Data Conference 2019. - Ahmed Rashed, Shayan Jawed, Jens Rehberg, Josif Grabocka, Lars Schmidt-Thieme, Andre Hintsches (2019):
A Deep Multi-Task Approach for Residual Value Forecasting, in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2019). - Shayan Jawed, Eya Boumaiza, Josif Grabocka, Lars Schmidt-Thieme (2018):
Data-Driven Vehicle Trajectory Forecasting, in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases Workshop on (KNOWMe@ECML PKDD 2018).