| 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 | 78 | 2022 |
| From Clicks to Carbon: The Environmental Toll of Recommender Systems T Vente, L Wegmeth, A Said, J Beel Proceedings of the 18th ACM Conference on Recommender Systems, 2024 | 47 | 2024 |
| 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 | 16 | 2023 |
| Green Recommender Systems: A Call for Attention J Beel, A Said, T Vente, L Wegmeth ACM SIGIR Forum 58 (2), 1-5, 2025 | 13 | 2025 |
| EMERS: Energy Meter for Recommender L Wegmeth, T Vente¹, A Said, J Beel¹ Recommender Systems for Sustainability and Social Good: First International …, 2025 | 10* | 2025 |
| e-Fold Cross-Validation for Recommender-System Evaluation M Baumgart, L Wegmeth, T Vente, J Beel RecSoGood: First International Workshop on Recommender Systems for …, 2024 | 10 | 2024 |
| CaMeLS: Cooperative Meta-Learning Service for Recommender Systems L Wegmeth, J Beel Proceedings of the 2nd Perspectives on the Evaluation of Recommender Systems …, 2022 | 9 | 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 International Conference on Computer Recognition Systems, 184-194, 2019 | 7 | 2019 |
| The Potential of AutoML for Recommender Systems T Vente, L Wegmeth, J Beel Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation …, 2025 | 5 | 2025 |
| Informed Dataset-Selection with Algorithm Performance Spaces J Beel, L Wegmeth, L Michiels, S Schulz Proceedings of the 18th ACM Conference on Recommender Systems, 2024 | 5 | 2024 |
| The Impact of Feature Quantity on Recommendation Algorithm Performance L Wegmeth 32nd Irish Conference on Artificial Intelligence and Cognitive Science 13, 2022 | 5* | 2022 |
| Greedy Ensemble Selection for Top-N Recommendations T Vente, Z Mehta, L Wegmeth, J Beel RobustRecSys: Design, Evaluation and Deployment of Robust Recommender Systems, 2024 | 4 | 2024 |
| Recommender Systems Algorithm Selection for Ranking Prediction on Implicit Feedback Datasets L Wegmeth, T Vente, J Beel Proceedings of the 18th ACM Conference on Recommender Systems, 2024 | 4 | 2024 |
| Best-Practices for Offline Evaluations of Recommender Systems J Beel, D Jannach, A Said, G Shani, T Vente, L Wegmeth Dagstuhl Seminar Report, 2024 | 4 | 2024 |
| E-fold cross-validation: A computing and energy-efficient alternative to k-fold cross-validation with adaptive folds [proposal]. OSF Preprints (2024) J Beel, L Wegmeth, T Vente | 4 | 2024 |
| Improving Recommender Systems Through the Automation of Design Decisions L Wegmeth Proceedings of the 17th ACM Conference on Recommender Systems, 1332-1338, 2023 | 4 | 2023 |
| Detecting Handwritten Mathematical Terms with Sensor Based Data L Wegmeth, A Hoelzemann, K Van Laerhoven arXiv preprint arXiv:2109.05594, 2021 | 4 | 2021 |
| e-fold cross-validation: A computing and energy-efficient alternative to k-fold cross-validation with adaptive folds J Beel, L Wegmeth, T Vente OSF, 2024 | 1 | 2024 |
| 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 | 1 | 2024 |
| Automating Recommender Systems: Advances in Algorithm Selection, Evaluation, and Sustainability L Wegmeth Universitätsbibliothek Siegen, 2025 | | 2025 |
Joeran BeelUniversity of Siegen (previously NII Tokyo, Trinity College Dublin, UC Berkeley, ...)Verified email at berkeley.edu
