Max Lübbering

According to our database, Max Lübbering authored at least 22 papers between 2019 and 2023.

Collaborative distances:

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

2023

Utilization of Reconstructive Representation Learning for Robust Classification.

Max Lübbering

PhD thesis, 2023

Tokenizer Choice For LLM Training: Negligible or Crucial?

Mehdi Ali, Michael Fromm, Klaudia Thellmann, Richard Rutmann, Max Lübbering, Johannes Leveling, Katrin Klug, Jan Ebert, Niclas Doll, Jasper Schulze Buschhoff, Charvi Jain, Alexander Arno Weber, Lena Jurkschat, Hammam Abdelwahab, Chelsea John, Pedro Ortiz Suarez, Malte Ostendorff, Samuel Weinbach, Rafet Sifa, Stefan Kesselheim, Nicolas Flores-Herr

CoRR, 2023

2022

Bounding open space risk with decoupling autoencoders in open set recognition.

Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa

Int. J. Data Sci. Anal., 2022

Anonymization of German financial documents using neural network-based language models with contextual word representations.

David Biesner, Rajkumar Ramamurthy, Robin Stenzel, Max Lübbering, Lars Patrick Hillebrand, Anna Ladi, Maren Pielka, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa

Int. J. Data Sci. Anal., 2022

Towards Symmetry-Aware Pneumonia Detection on Chest X-Rays.

Helen Schneider, Max Lübbering, Rebecca Kador, Maximilian Broß, Priya Priya, David Biesner, Benjamin Wulff, Thiago Bell Felix de Oliveira, Yannik C. Layer, Ulrike I. Attenberger, Rafet Sifa

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Matching Experts to Questions: A Comparison of Recommender Systems.

Robin Stenzel, Max Lübbering, Bilge Ulusay, Daniel Uedelhoven, Rafet Sifa

Proceedings of the LWDA 2022 Workshops: FGWM, 2022

Datastack: Unification of Heterogeneous Machine Learning Dataset Interfaces.

Max Lübbering, Maren Pielka, Ilhamcengiz Henk, Rafet Sifa

Proceedings of the 38th IEEE International Conference on Data Engineering Workshops, 2022

From Open Set Recognition Towards Robust Multi-class Classification.

Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

Automatic Indexing of Financial Documents via Information Extraction.

Rajkumar Ramamurthy, Max Lübbering, Thiago Bell, Michael Gebauer, Bilge Ulusay, Daniel Uedelhoven, Tim Dilmaghani Khameneh, Rüdiger Loitz, Maren Pielka, Christian Bauckhage, Rafet Sifa

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Utilizing Representation Learning for Robust Text Classification Under Datasetshift.

Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Maren Pielka, Christian Bauckhage, Rafet Sifa

Proceedings of the LWDA 2021 Workshops: FGWM, 2021

An Optimization for Convolutional Network Layers Using the Viola-Jones Framework and Ternary Weight Networks.

Rhys Agombar, Christian Bauckhage, Max Lübbering, Rafet Sifa

Proceedings of the Learning and Intelligent Optimization - 15th International Conference, 2021

Knowledge Graph Based Question Answering System for Financial Securities.

Marius Bulla, Lars Patrick Hillebrand, Max Lübbering, Rafet Sifa

Proceedings of the KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27, 2021

Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis.

Max Lübbering, Maren Pielka, Kajaree Das, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Decoupling Autoencoders for Robust One-vs-Rest Classification.

Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

2020

Novelty-Guided Reinforcement Learning via Encoded Behaviors.

Rajkumar Ramamurthy, Rafet Sifa, Max Lübbering, Christian Bauckhage

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Supervised Autoencoder Variants for End to End Anomaly Detection.

Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Rafet Sifa, Christian Bauckhage

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Guided Reinforcement Learning via Sequence Learning.

Rajkumar Ramamurthy, Rafet Sifa, Max Lübbering, Christian Bauckhage

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders.

Max Lübbering, Rajkumar Ramamurthy, Michael Gebauer, Thiago Bell, Rafet Sifa, Christian Bauckhage

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

A Clustering Backed Deep Learning Approach for Document Layout Analysis.

Rhys Agombar, Max Lübbering, Rafet Sifa

Proceedings of the Machine Learning and Knowledge Extraction, 2020

2019

Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification.

Eduardo Brito, Max Lübbering, David Biesner, Lars Patrick Hillebrand, Christian Bauckhage

CoRR, 2019

What Company Does My News Article Refer to? Tackling Multi Class Problems With Topic Modeling.

Max Lübbering, Julian M. Kunkel, Patricio Farrell

Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

Towards Automated Auditing with Machine Learning.

Rafet Sifa, Anna Ladi, Maren Pielka, Rajkumar Ramamurthy, Lars Patrick Hillebrand, Birgit Kirsch, David Biesner, Robin Stenzel, Thiago Bell, Max Lübbering, Ulrich Nütten, Christian Bauckhage, Ulrich Warning, Benedikt Fürst, Tim Dilmaghani Khameneh, Daniel Thom, Ilgar Huseynov, Roland Kahlert, Jennifer Schlums, Hisham Ismail, Bernd Kliem, Rüdiger Loitz

Proceedings of the ACM Symposium on Document Engineering 2019, 2019