Feature Extraction and Classification of Sensor Signals in Cars Based on a Modified Codebook Approach. - Hawzhin Hozhabr Pour; Lukas Wegmeth; Alexander Kordes; Marcin Grzegorzek; Roland Wismüller (CORES, 2019)

Detecting Handwritten Mathematical Terms with Sensor Based Data. - Lukas Wegmeth; Alexander Hoelzemann; Kristof Van Laerhoven (CoRR, 2021)

CaMeLS: Cooperative Meta-Learning Service for Recommender Systems. - Lukas Wegmeth; Joeran Beel (Perspectives@RecSys, 2022)

The Impact of Feature Quantity on Recommendation Algorithm Performance: A Movielens-100K Case Study. - Lukas Wegmeth (CoRR, 2022)

A Machine Learning Framework for Automated Accident Detection Based on Multimodal Sensors in Cars. - Hawzhin Hozhabr Pour; Frédéric Li; Lukas Wegmeth; Christian Trense; Rafal Doniec; Marcin Grzegorzek; Roland Wismüller (Sensors, 2022)

Improving Recommender Systems Through the Automation of Design Decisions. - Lukas Wegmeth (RecSys, 2023)

The Effect of Random Seeds for Data Splitting on Recommendation Accuracy. - Lukas Wegmeth; Tobias Vente; Lennart Purucker; Joeran Beel (Perspectives@RecSys, 2023)

The Impact of Feature Quantity on Recommendation Algorithm Performance. - Lukas Wegmeth (AICS, 2024)

Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems. - Lukas Wegmeth; Tobias Vente; Lennart Purucker (ECIR (1), 2024)

Informed Dataset Selection with 'Algorithm Performance Spaces'. - Joeran Beel; Lukas Wegmeth; Lien Michiels; Steffen Schulz 004 (RecSys, 2024)

From Clicks to Carbon: The Environmental Toll of Recommender Systems. - Tobias Vente; Lukas Wegmeth; Alan Said; Joeran Beel (RecSys, 2024)

Recommender Systems Algorithm Selection for Ranking Prediction on Implicit Feedback Datasets. - Lukas Wegmeth; Tobias Vente; Joeran Beel (RecSys, 2024)

Removing Bad Influence: Identifying and Pruning Detrimental Users in Collaborative Filtering Recommender Systems. - Philipp Meister; Lukas Wegmeth; Tobias Vente; Joeran Beel (RobustRecSys@RecSys, 2024)

Greedy Ensemble Selection for Top-N Recommendations. - Tobias Vente; Zainil Mehta; Lukas Wegmeth; Joeran Beel (RobustRecSys@RecSys, 2024)

EMERS: Energy Meter for Recommender Systems. - Lukas Wegmeth; Tobias Vente; Alan Said; Joeran Beel (CoRR, 2024)

e-Fold Cross-Validation for Recommender-System Evaluation. - Moritz Baumgart; Lukas Wegmeth; Tobias Vente; Joeran Beel (CoRR, 2024)

Green Recommender Systems: A Call for Attention. - Joeran Beel; Alan Said; Tobias Vente; Lukas Wegmeth (SIGIR Forum, 2024)

Checky, the Paper-Submission Checklist Generator for Authors, Reviewers and LLMs. - Joeran Beel; Bela Gipp; Dietmar Jannach; Alan Said; Lukas Wegmeth; Tobias Vente (ECIR (5), 2025)

The Potential of AutoML for Recommender Systems. - Tobias Vente; Lukas Wegmeth; Joeran Beel (UMAP (Adjunct Publication), 2025)