Lukas Wegmeth

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Pearson Correlation Coefficient

Recommender Systems

Top Venues

Perspectives@RecSys

Publications

Lukas Wegmeth, Tobias Vente, Lennart Purucker
Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems. ECIR (1) (2024)
Lukas Wegmeth, Tobias Vente, Lennart Purucker
Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems. CoRR (2024)
Lukas Wegmeth
Improving Recommender Systems Through the Automation of Design Decisions. RecSys (2023)
Lukas Wegmeth, Tobias Vente, Lennart Purucker, Joeran Beel
The Effect of Random Seeds for Data Splitting on Recommendation Accuracy. Perspectives@RecSys (2023)
Hawzhin Hozhabr Pour, Frédéric Li, Lukas Wegmeth, Christian Trense, Rafal Doniec, Marcin Grzegorzek, Roland Wismüller
A Machine Learning Framework for Automated Accident Detection Based on Multimodal Sensors in Cars. Sensors 22 (10) (2022)
Lukas Wegmeth, Joeran Beel
CaMeLS: Cooperative Meta-Learning Service for Recommender Systems. Perspectives@RecSys (2022)
Lukas Wegmeth
The Impact of Feature Quantity on Recommendation Algorithm Performance: A Movielens-100K Case Study. CoRR (2022)
Lukas Wegmeth, Alexander Hölzemann, Kristof Van Laerhoven
Detecting Handwritten Mathematical Terms with Sensor Based Data. CoRR (2021)
Hawzhin Hozhabr Pour, Lukas Wegmeth, Alexander Kordes, Marcin Grzegorzek, Roland Wismüller
Feature Extraction and Classification of Sensor Signals in Cars Based on a Modified Codebook Approach. CORES (2019)