Lukas Wegmeth

27 papers A 4Journal 10Unranked 13
YearRankTypeTitle / Venue / Authors
2026 — conf
OmniRec: The All-In-One Solution for Reproducible and Interoperable Recommender Systems Experimentation.
ECIR (4)
Lukas Wegmeth, Moritz Baumgart, Philipp Meister, Bela Gipp, Joeran Beel
2025 — conf
Automated Learning of Software Configuration Spaces is not Easy.
SPLC (A)
Mathis Weiß, Robert Müller, Lukas Güthing, Tobias Vente, Lukas Wegmeth, Ina Schaefer, Malte Lochau
2025 — conf
Checky, the Paper-Submission Checklist Generator for Authors, Reviewers and LLMs.
ECIR (5)
Joeran Beel, Bela Gipp, Dietmar Jannach, Alan Said, Lukas Wegmeth, Tobias Vente
2025 J jnl
Green Recommender Systems: Understanding and Minimizing the Carbon Footprint of AI-Powered Personalization.
CoRR
Lukas Wegmeth, Tobias Vente, Alan Said, Joeran Beel
2025 — conf
The Potential of AutoML for Recommender Systems.
UMAP (Adjunct Publication)
Tobias Vente, Lukas Wegmeth, Joeran Beel
2024 — conf
EMERS: Energy Meter for Recommender Systems.
RecSoGood@RecSys
Lukas Wegmeth, Tobias Vente, Alan Said, Joeran Beel
2024 J jnl
EMERS: Energy Meter for Recommender Systems.
CoRR
Lukas Wegmeth, Tobias Vente, Alan Said, Joeran Beel
2024 A conf
From Clicks to Carbon: The Environmental Toll of Recommender Systems.
RecSys
Tobias Vente, Lukas Wegmeth, Alan Said, Joeran Beel
2024 J jnl
From Clicks to Carbon: The Environmental Toll of Recommender Systems.
CoRR
Tobias Vente, Lukas Wegmeth, Alan Said, Joeran Beel
2024 — conf
Greedy Ensemble Selection for Top-N Recommendations.
RobustRecSys@RecSys
Tobias Vente, Zainil Mehta, Lukas Wegmeth, Joeran Beel
2024 J jnl
Green Recommender Systems: A Call for Attention.
SIGIR Forum
Joeran Beel, Alan Said, Tobias Vente, Lukas Wegmeth
2024 A conf
Informed Dataset Selection with 'Algorithm Performance Spaces'.
RecSys
Joeran Beel, Lukas Wegmeth, Lien Michiels, Steffen Schulz
2024 A conf
Recommender Systems Algorithm Selection for Ranking Prediction on Implicit Feedback Datasets.
RecSys
Lukas Wegmeth, Tobias Vente, Joeran Beel
2024 J jnl
Recommender Systems Algorithm Selection for Ranking Prediction on Implicit Feedback Datasets.
CoRR
Lukas Wegmeth, Tobias Vente, Joeran Beel
2024 — conf
Removing Bad Influence: Identifying and Pruning Detrimental Users in Collaborative Filtering Recommender Systems.
RobustRecSys@RecSys
Philipp Meister, Lukas Wegmeth, Tobias Vente, Joeran Beel
2024 — conf
Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems.
ECIR (1)
Lukas Wegmeth, Tobias Vente, Lennart Purucker
2024 J jnl
Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems.
CoRR
Lukas Wegmeth, Tobias Vente, Lennart Purucker
2024 — conf
The Impact of Feature Quantity on Recommendation Algorithm Performance.
AICS
Lukas Wegmeth
2024 — conf
e-Fold Cross-Validation for Recommender-System Evaluation.
RecSoGood@RecSys
Moritz Baumgart, Lukas Wegmeth, Tobias Vente, Joeran Beel
2024 J jnl
e-Fold Cross-Validation for Recommender-System Evaluation.
CoRR
Moritz Baumgart, Lukas Wegmeth, Tobias Vente, Joeran Beel
2023 A conf
Improving Recommender Systems Through the Automation of Design Decisions.
RecSys
Lukas Wegmeth
2023 — conf
The Effect of Random Seeds for Data Splitting on Recommendation Accuracy.
Perspectives@RecSys
Lukas Wegmeth, Tobias Vente, Lennart Purucker, Joeran Beel
2022 J jnl
A Machine Learning Framework for Automated Accident Detection Based on Multimodal Sensors in Cars.
Sensors
Hawzhin Hozhabr Pour, Frédéric Li, Lukas Wegmeth, Christian Trense, Rafal Doniec, Marcin Grzegorzek, Roland Wismüller
2022 — conf
CaMeLS: Cooperative Meta-Learning Service for Recommender Systems.
Perspectives@RecSys
Lukas Wegmeth, Joeran Beel
2022 J jnl
The Impact of Feature Quantity on Recommendation Algorithm Performance: A Movielens-100K Case Study.
CoRR
Lukas Wegmeth
2021 J jnl
Detecting Handwritten Mathematical Terms with Sensor Based Data.
CoRR
Lukas Wegmeth, Alexander Hoelzemann, Kristof Van Laerhoven
2019 — conf
Feature Extraction and Classification of Sensor Signals in Cars Based on a Modified Codebook Approach.
CORES
Hawzhin Hozhabr Pour, Lukas Wegmeth, Alexander Kordes, Marcin Grzegorzek, Roland Wismüller