Max Lübbering

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 21

Top Topics

Convolutional Network

Outlier Detection

Sequence Classification

Reinforcement Learning

Top Venues

Int. J. Data Sci. Anal.

Publications

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
Tokenizer Choice For LLM Training: Negligible or Crucial? CoRR (2023)
Max Lübbering, Maren Pielka, Ilhamcengiz Henk, Rafet Sifa
Datastack: Unification of Heterogeneous Machine Learning Dataset Interfaces. ICDE Workshops (2022)
David Biesner, Rajkumar Ramamurthy, Robin Stenzel, Max Lübbering, Lars Patrick Hillebrand, Anna Ladi, Maren Pielka, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa
Anonymization of German financial documents using neural network-based language models with contextual word representations. Int. J. Data Sci. Anal. 13 (2) (2022)
Robin Stenzel, Max Lübbering, Bilge Ulusay, Daniel Uedelhoven, Rafet Sifa
Matching Experts to Questions: A Comparison of Recommender Systems. LWDA (2022)
Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa
From Open Set Recognition Towards Robust Multi-class Classification. ICANN (3) (2022)
Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa
Bounding open space risk with decoupling autoencoders in open set recognition. Int. J. Data Sci. Anal. 14 (4) (2022)
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
Towards Symmetry-Aware Pneumonia Detection on Chest X-Rays. SSCI (2022)
Rajkumar Ramamurthy, Max Lübbering, Thiago Bell, Michael Gebauer, Bilge Ulusay, Daniel Uedelhoven, Tim Dilmaghani Khameneh, Rüdiger Loitz, Maren Pielka, Christian Bauckhage, Rafet Sifa
Automatic Indexing of Financial Documents via Information Extraction. SSCI (2021)
Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa
Decoupling Autoencoders for Robust One-vs-Rest Classification. DSAA (2021)
Max Lübbering, Maren Pielka, Kajaree Das, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa
Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis. ESANN (2021)
Rhys Agombar, Christian Bauckhage, Max Lübbering, Rafet Sifa
An Optimization for Convolutional Network Layers Using the Viola-Jones Framework and Ternary Weight Networks. LION (2021)
Marius Bulla, Lars Patrick Hillebrand, Max Lübbering, Rafet Sifa
Knowledge Graph Based Question Answering System for Financial Securities. KI (2021)
Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Maren Pielka, Christian Bauckhage, Rafet Sifa
Utilizing Representation Learning for Robust Text Classification Under Datasetshift. LWDA (2021)
Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Rafet Sifa, Christian Bauckhage
Supervised Autoencoder Variants for End to End Anomaly Detection. ICPR Workshops (2) (2020)
Rhys Agombar, Max Lübbering, Rafet Sifa
A Clustering Backed Deep Learning Approach for Document Layout Analysis. CD-MAKE (2020)
Rajkumar Ramamurthy, Rafet Sifa, Max Lübbering, Christian Bauckhage
Guided Reinforcement Learning via Sequence Learning. ICANN (2) (2020)
Max Lübbering, Rajkumar Ramamurthy, Michael Gebauer, Thiago Bell, Rafet Sifa, Christian Bauckhage
From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders. ICANN (1) (2020)
Rajkumar Ramamurthy, Rafet Sifa, Max Lübbering, Christian Bauckhage
Novelty-Guided Reinforcement Learning via Encoded Behaviors. IJCNN (2020)
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
Towards Automated Auditing with Machine Learning. DocEng (2019)
Eduardo Brito, Max Lübbering, David Biesner, Lars Patrick Hillebrand, Christian Bauckhage
Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification. CoRR (2019)
Max Lübbering, Julian M. Kunkel, Patricio Farrell
What Company Does My News Article Refer to? Tackling Multi Class Problems With Topic Modeling. LWDA (2019)