| A machine learning framework for automated accident detection based on multimodal sensors in cars H Hozhabr Pour, F Li, L Wegmeth, C Trense, R Doniec, M Grzegorzek, ... Sensors 22 (10), 3634, 2022 | 33 | 2022 |
| Feature extraction and classification of sensor signals in cars based on a modified codebook approach H Hozhabr Pour, L Wegmeth, A Kordes, M Grzegorzek, R Wismüller Progress in Computer Recognition Systems 11, 184-194, 2020 | 5 | 2020 |
| The Effect of Random Seeds for Data Splitting on Recommendation Accuracy L Wegmeth, T Vente, L Purucker, J Beel Proceedings of the 3rd Perspectives on the Evaluation of Recommender Systems …, 2023 | 3 | 2023 |
| CaMeLS: Cooperative Meta-Learning Service for Recommender Systems. L Wegmeth, J Beel Perspectives@ RecSys, 2022 | 2 | 2022 |
| Detecting Handwritten Mathematical Terms with Sensor Based Data L Wegmeth, A Hoelzemann, K Van Laerhoven arXiv preprint arXiv:2109.05594, 2021 | 2 | 2021 |
| The Impact of Feature Quantity on Recommendation Algorithm Performance: A Movielens-100K Case Study L Wegmeth arXiv preprint arXiv:2207.08713, 2022 | 1 | 2022 |
| Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems L Wegmeth, T Vente, L Purucker European Conference on Information Retrieval, 140-156, 2024 | | 2024 |
| Improving Recommender Systems Through the Automation of Design Decisions L Wegmeth Proceedings of the 17th ACM Conference on Recommender Systems, 1332-1338, 2023 | | 2023 |
| The Challenges of Algorithm Selection and Hyperparameter Optimization for Recommender Systems L Wegmeth, T Vente, J Beel COSEAL Workshop 2023 http://dx.doi.org/10.13140/RG.2.2.24089.19049, 2023 | | 2023 |
| Cooperative Meta-Learning Service for Recommender Systems L Wegmeth, J Beel COSEAL Workshop 2022 http://dx.doi.org/10.13140/RG.2.2.10667.41768, 2022 | | 2022 |
Joeran BeelUniversity of Siegen (previously NII Tokyo, Trinity College Dublin, UC Berkeley, ...)Verified email at berkeley.edu
