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; et al. (DocEng, 2019)

What Company Does My News Article Refer to? Tackling Multi Class Problems With Topic Modeling. - Max Lübbering; Julian M. Kunkel; Patricio Farrell (LWDA, 2019)

Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification. - Eduardo Brito; Max Lübbering; David Biesner; Lars Patrick Hillebrand; Christian Bauckhage (CoRR, 2019)

A Clustering Backed Deep Learning Approach for Document Layout Analysis. - Rhys Agombar; Max Lübbering; Rafet Sifa (CD-MAKE, 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 (ICANN (1), 2020)

Guided Reinforcement Learning via Sequence Learning. - Rajkumar Ramamurthy; Rafet Sifa; Max Lübbering; Christian Bauckhage (ICANN (2), 2020)

Supervised Autoencoder Variants for End to End Anomaly Detection. - Max Lübbering; Michael Gebauer; Rajkumar Ramamurthy; Rafet Sifa; Christian Bauckhage (ICPR Workshops (2), 2020)

Novelty-Guided Reinforcement Learning via Encoded Behaviors. - Rajkumar Ramamurthy; Rafet Sifa; Max Lübbering; Christian Bauckhage (IJCNN, 2020)

Decoupling Autoencoders for Robust One-vs-Rest Classification. - Max Lübbering; Michael Gebauer; Rajkumar Ramamurthy; Christian Bauckhage; Rafet Sifa (DSAA, 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 (ESANN, 2021)

Knowledge Graph Based Question Answering System for Financial Securities. - Marius Bulla; Lars Patrick Hillebrand; Max Lübbering; Rafet Sifa (KI, 2021)

An Optimization for Convolutional Network Layers Using the Viola-Jones Framework and Ternary Weight Networks. - Rhys Agombar; Christian Bauckhage; Max Lübbering; Rafet Sifa (LION, 2021)

Utilizing Representation Learning for Robust Text Classification Under Datasetshift. - Max Lübbering; Michael Gebauer; Rajkumar Ramamurthy; Maren Pielka; Christian Bauckhage; Rafet Sifa (LWDA, 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 (SSCI, 2021)

From Open Set Recognition Towards Robust Multi-class Classification. - Max Lübbering; Michael Gebauer; Rajkumar Ramamurthy; Christian Bauckhage; Rafet Sifa (ICANN (3), 2022)

Datastack: Unification of Heterogeneous Machine Learning Dataset Interfaces. - Max Lübbering; Maren Pielka; Ilhamcengiz Henk; Rafet Sifa (ICDE Workshops, 2022)

Matching Experts to Questions: A Comparison of Recommender Systems. - Robin Stenzel; Max Lübbering; Bilge Ulusay; Daniel Uedelhoven; Rafet Sifa (LWDA, 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 (SSCI, 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)

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)

Utilization of Reconstructive Representation Learning for Robust Classification. - Max Lübbering (2023)

Advancing Personalized Medicine: A Scalable LLM-based Recommender System for Patient Matching. - Armin Berger; David Berghaus; Ali Hamza Bashir; Lorenz Grigull; Lara Fendrich; Tom Anglim Lagones; Henriette Högl; Gundula Ernst; Ralf Schmidt; David Bascom; Tobias Deußer; Thiago Bell; et al. (IEEE Big Data, 2024)

Optimizing Rare Disease Patient Matching with Large Language Models. - Armin Berger; Ali Hamza Bashir; David Berghaus; Mowmita; Nazia Afsan; Lorenz Grigull; Lara Fendrich; Henriette Högl; Gundula Ernst; Ralf Schmidt; David Bascom; Tom Anglim Lagones; et al. (IEEE Big Data, 2024)

Tackling Data Sparsity and Combinatorial Challenges in Rare Disease Matching with Medical Informed Machine Learning. - Armin Berger; Tom Anglim Lagones; Lorenz Grigull; Lara Fendrich; Thiago Bell; Henriette Högl; Gundula Ernst; Ralf Schmidt; David Bascom; Rafet Sifa; Max Lübbering (IEEE Big Data, 2024)

Table Structure Recognition via Encoder/Decoder Vision Transformers. - Daniel Uedelhoven; Max Lübbering; Christian Bauckhage; Rafet Sifa (IEEE Big Data, 2024)

Tokenizer Choice For LLM Training: Negligible or Crucial? - Mehdi Ali; Michael Fromm 001; Klaudia Thellmann; Richard Rutmann; Max Lübbering; Johannes Leveling; Katrin Klug; Jan Ebert; Niclas Doll; Jasper Schulze Buschhoff; Charvi Jain; Alexander Arno Weber; et al. (NAACL-HLT (Findings), 2024)

Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs. - Mehdi Ali; Michael Fromm 001; Klaudia Thellmann; Jan Ebert; Alexander Arno Weber; Richard Rutmann; Charvi Jain; Max Lübbering; Daniel Steinigen; Johannes Leveling; Katrin Klug; Jasper Schulze Buschhoff; et al. (CoRR, 2024)

Architectural Proposal for Reproducible, Standardized Deep Learning Research. - Max Lübbering; Vijul Shah; Moinam Chatterjee; Priya Priya; Osama Soliman; Rafet Sifa (ICSA Companion, 2025)

Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models. - Mehdi Ali; Manuel Brack; Max Lübbering; Elias Wendt; Abbas Goher Khan; Richard Rutmann; Alex Jude; Maurice Kraus; Alexander Arno Weber; David Kaczér; Florian Mai; Lucie Flek; et al. (CoRR, 2025)