| 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 | 51 | 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 | 13 | 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 | 12 | 2023 |
| 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 | 7 | 2020 |
| EMERS: Energy Meter for Recommender Systems L Wegmeth, T Vente, A Said, J Beel RecSoGood: First International Workshop on Recommender Systems for …, 2024 | 5 | 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 | 4 | 2022 |
| 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 for Recommender-System Evaluation M Baumgart, L Wegmeth, T Vente, J Beel RecSoGood: First International Workshop on Recommender Systems for …, 2024 | 3 | 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 | 2 | 2024 |
| The Impact of Feature Quantity on Recommendation Algorithm Performance: A Movielens-100K Case Study L Wegmeth arXiv preprint arXiv:2207.08713, 2022 | 2 | 2022 |
| 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 | 1 | 2024 |
| Green Recommender Systems–A Call for Attention J Beel, A Said, T Vente, L Wegmeth Recommender-Systems. com Blog, 2024 | 1 | 2024 |
| 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 |
| Improving Recommender Systems Through the Automation of Design Decisions L Wegmeth Proceedings of the 17th ACM Conference on Recommender Systems, 1332-1338, 2023 | 1 | 2023 |
| 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 | | 2024 |
| Removing Bad Influence: Identifying and Pruning Detrimental Users in Collaborative Filtering Recommender Systems P Meister, L Wegmeth, T Vente, J Beel RobustRecSys: Design, Evaluation and Deployment of Robust Recommender Systems, 2024 | | 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 | | 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 | | 2024 |
| 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, ...)berkeley.edu의 이메일 확인됨