How to Label? Combining Experts' Knowledge for German Text Classification. - David Pelkmann; Alaa Tharwat; Wolfram Schenck (SDS, 2020)

Towards Intelligent Legal Advisors for Document Retrieval and Question-Answering in German Legal Documents. - Christoph Hoppe; David Pelkmann; Nico Migenda; Daniel Hötte; Wolfram Schenck (AIKE, 2021)

Advanced Data Analytics Platform for Manufacturing Companies. - Tim Voigt; Nico Migenda; Marvin Schöne; David Pelkmann; Matthias Fricke; Wolfram Schenck; Martin Kohlhase (ETFA, 2021)

Collaborative System for Question Answering in German Case Law Documents. - Christoph Hoppe; Nico Migenda; David Pelkmann; Daniel Hötte; Wolfram Schenck (PRO-VE, 2022)

Cutting Through the Noise: An Empirical Comparison of Psychoacoustic and Envelope-based Features for Machinery Fault Detection. - Peter Wißbrock; Yvonne Richter; David Pelkmann; Zhao Ren; Gregory Palmer (CoRR, 2022)

Cutting Through the Noise: An Empirical Comparison of Psycho-Acoustic and Envelope-based Features for Machinery Fault Detection. - Peter Wißbrock; Yvonne Richter; David Pelkmann; Zhao Ren; Gregory Palmer (ICASSP, 2023)

Discussion of Features for Acoustic Anomaly Detection under Industrial Disturbing Noise in an End-of-Line Test of Geared Motors. - Peter Wißbrock; David Pelkmann; Yvonne Richter (INDIN, 2023)

Lektionen und Anwendungsfälle aus der Implementierung von Retrieval-Augmented-Generation-Systemen. - Frederik Simon Bäumer; Hans Brandt-Pook; André Matutat; Falk Maoro; David Pelkmann; Sergej Schultenkämper (INFORMATIK, 2024)