Lorenz Wendlinger

According to our database, Lorenz Wendlinger authored at least 17 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Robust Generalizable Heterogeneous Legal Link Prediction.

Lorenz Wendlinger, Simon Alexander Nonn, Abdullah Al Zubaer, Michael Granitzer

CoRR, February, 2026

Structure-aware Deep Learning.

Lorenz Wendlinger

PhD thesis, 2026

2025

Comparative Study of Language Models and Prompt Paradigms in Short Answer Grading.

Abdullah Al Zubaer, Stephan Geschwind, Deborah Voss, Lorenz Wendlinger, Johann Graf Lambsdorff, Michael Granitzer, Jelena Mitrovic

Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025

Joint Learning for Efficient German Argument Mining.

Lorenz Wendlinger, Ramona Kühn, Jelena Mitrovic, Michael Granitzer

Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025

Cross-Domain and Multilingual Analysis of Retrieval Augmented Generation on Ontologies.

Ramona Kühn, Jelena Mitrovic, Lorenz Wendlinger, Michael Granitzer

Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025

The Missing Link: Joint Legal Citation Prediction Using Heterogeneous Graph Enrichment.

Lorenz Wendlinger, Simon Alexander Nonn, Abdullah Al Zubaer, Michael Granitzer

Proceedings of the Database and Expert Systems Applications, 2025

2024

On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education.

Lorenz Wendlinger, Christian Braun, Abdullah Al Zubaer, Simon Alexander Nonn, Sarah Großkopf, Christofer Fellicious, Michael Granitzer

CoRR, 2024

Informed Heterogeneous Attention Networks for Metapath Based Learning.

Lorenz Wendlinger, Michael Granitzer

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

DriftGAN: Using historical data for Unsupervised Recurring Drift Detection.

Christofer Fellicious, Sahib Julka, Lorenz Wendlinger, Michael Granitzer

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

SUDS: A Strategy for Unsupervised Drift Sampling.

Christofer Fellicious, Lorenz Wendlinger, Mario Lopez Gancarski, Jelena Mitrovic, Michael Granitzer

Proceedings of the 36th IEEE International Conference on Tools with Artificial Intelligence, 2024

2022

Pooling Graph Convolutional Networks for Structural Performance Prediction.

Lorenz Wendlinger, Michael Granitzer, Christofer Fellicious

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

Neural Network Based Drift Detection.

Christofer Fellicious, Lorenz Wendlinger, Michael Granitzer

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

Reconciliation of Mental Concepts with Graph Neural Networks.

Lorenz Wendlinger, Gerd Hübscher, Andreas Ekelhart, Michael Granitzer

Proceedings of the Database and Expert Systems Applications, 2022

2021

Spatio-Temporal Machine Learning Analysis of Social Media Data and Refugee Movement Statistics.

Clemens Havas, Lorenz Wendlinger, Julian Stier, Sahib Julka, Veronika Krieger, Cornelia Ferner, Andreas Petutschnig, Michael Granitzer, Stefan Wegenkittl, Bernd Resch

ISPRS Int. J. Geo Inf., 2021

Methods for Automatic Machine-Learning Workflow Analysis.

Lorenz Wendlinger, Emanuel Berndl, Michael Granitzer

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Evofficient: Reproducing a Cartesian Genetic Programming Method.

Lorenz Wendlinger, Julian Stier, Michael Granitzer

Proceedings of the Genetic Programming - 24th European Conference, 2021

2019

MMoveT15: A Twitter Dataset for Extracting and Analysing Migration-Movement Data of the European Migration Crisis 2015.

Stefanie Urchs, Lorenz Wendlinger, Jelena Mitrovic, Michael Granitzer

Proceedings of the 28th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2019