Multiple instance learning from multiple cameras. - Peter M. Roth; Christian Leistner; Armin Berger; Horst Bischof (CVPR Workshops, 2010)

Event Detection and Semantic Storytelling: Generating a Travelogue from a large Collection of Personal Letters. - Georg Rehm; Julián Moreno Schneider; Peter Bourgonje; Ankit Srivastava; Jan Nehring; Armin Berger; Luca König; Sören Räuchle; Jens Gerth (NEWS@ACL, 2017)

Different Types of Automated and Semi-automated Semantic Storytelling: Curation Technologies for Different Sectors. - Georg Rehm; Julián Moreno Schneider; Peter Bourgonje; Ankit Srivastava; Rolf Fricke; Jan Thomsen; Jing He; Joachim Quantz; Armin Berger; Luca König; Sören Räuchle; Jens Gerth; et al. (GSCL, 2017)

QURATOR: Innovative Technologies for Content and Data Curation. - Georg Rehm; Peter Bourgonje; Stefanie Hegele; Florian Kintzel; Julián Moreno Schneider; Malte Ostendorff; Karolina Zaczynska; Armin Berger; Stefan Grill; Sören Räuchle; Jens Rauenbusch; Lisa Rutenburg; et al. (Qurator, 2020)

RTK-LoRa: High-Precision, Long-Range, and Energy-Efficient Localization for Mobile IoT Devices. - Philipp Mayer; Michele Magno; Armin Berger; Luca Benini (IEEE Trans. Instrum. Meas., 2021)

Towards Automated Regulatory Compliance Verification in Financial Auditing with Large Language Models. - Armin Berger; Lars Hillebrand; David Leonhard; Tobias Deußer; Thiago Bell Felix de Oliveira; Tim Dilmaghani Khameneh; Mohamed Khaled; Bernd Kliem; Rüdiger Loitz; Christian Bauckhage; Rafet Sifa (IEEE Big Data, 2023)

Uncovering Inconsistencies and Contradictions in Financial Reports using Large Language Models. - Tobias Deußer; David Leonhard; Lars Hillebrand; Armin Berger; Mohamed Khaled; Sarah Heiden; Tim Dilmaghani Khameneh; Bernd Kliem; Rüdiger Loitz; Christian Bauckhage; Rafet Sifa (IEEE Big Data, 2023)

Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models. - Lars Hillebrand; Armin Berger; Tobias Deußer; Tim Dilmaghani Khameneh; Mohamed Khaled; Bernd Kliem; Rüdiger Loitz; Maren Pielka; David Leonhard; Christian Bauckhage; Rafet Sifa (DocEng, 2023)

Fine-Tuning Large Language Models for Compliance Checks. - Thiago Bell; David Leonhard; Ali Hamza Bashir; Tim Dilmaghani Khameneh; Mohamed Khaled; Ulrich Warning; Rüdiger Loitz; Sandra Halscheidt; Jana Birr; Armin Berger; Rafet Sifa; David Berghaus (IEEE Big Data, 2024)

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)

A Comparative Study of Large Language Models for Named Entity Recognition in the Legal Domain. - Tobias Deußer; Cong Zhao; Lorenz Sparrenberg; Daniel Uedelhoven; Armin Berger; Maren Pielka; Lars Hillebrand; Christian Bauckhage; Rafet Sifa (IEEE Big Data, 2024)

Advancing Risk and Quality Assurance: A RAG Chatbot for Improved Regulatory Compliance. - Lars Hillebrand; Armin Berger; Daniel Uedelhoven; David Berghaus; Ulrich Warning; Tim Dilmaghani Khameneh; Bernd Kliem; Thomas Schmid; Rüdiger Loitz; Rafet Sifa (IEEE Big Data, 2024)

Towards Unified Multimodal Financial Forecasting: Integrating Sentiment Embeddings and Market Indicators via Cross-Modal Attention. - Sarthak Khanna; Armin Berger; David Berghaus; Tobias Deußer; Lorenz Sparrenberg; Rafet Sifa (CoRR, 2025)