Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit
M. Schöne, B. Jaster, J. Bültemeier, J. Kösters, C.-A. Holst, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx), IEEE, 2025, pp. 1–9.

Discrepancy Modeling for Dynamical Systems
F.-M. Dockhorn, M. Kohlhase, in: H. Schulte, F. Hoffmann, R. Mikut (Eds.), Proceedings - 35. Workshop Computational Intelligence, Karlsruher Institut für Technologie (KIT), 2025.

Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit
M. Schöne, B. Jaster, J. Bültemeier, J. Kösters, C.-A. Holst, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx), IEEE, 2025, pp. 1–9.

Sensorintegration in Orthesen zur Versorgung des Diabetischen Fußsyndroms: eine technische Betrachtung
V. Katter, C. Huperz, M. Kohlhase, Orthopädie Technik (2025) 68–73.

Trust Issues in Active Learning and Their Impact on Real-World Applications
B. Jaster, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion), IEEE, 2025, pp. 1–5.

Trust Issues in Active Learning and Their Impact on Real-World Applications
B. Jaster, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion), IEEE, 2025, pp. 1–5.

AI Workflow for Scarce Data: A Modular Approach to Optimise Processes
J. Bültemeier, C.-A. Holst, V. Lohweg, M. Schöne, B. Jaster, M. Kohlhase, in: 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2025, pp. 1–4.

Informed Active Learning with Decision Trees to Balance Exploration and Exploitation
M. Schöne, B. Jaster, J. Bültemeier, M. Kohlhase, in: Institute for Data Science Solutions (Ed.), Kongress KI@HS Zukunft Im Fokus – Posterbeiträge, Hochschule Bielefeld, Bielefeld, 2025, pp. 26–27.

Beyond Q&A: Entwicklung eines agentenbasierten Retrieval-Augmented-Generation-Systems bei der imos AG
R. Bourdick, F. Bäumer, in: 2025.

Green by Design: Nachhaltiger Tiefbau durch KI
L. Golin, A. Matutat, H. Brandt-Pook, 2 (2025) 18–19.

Eine KI-Reise im Mittelstand
F. Prekwinkel, H. Brandt-Pook, Wirtschaftsinformatik &; Management (2025).

Für eine inklusive digitale Zukunft: Ableismus-sensible Chatbots gestalten
F. Bäumer, H. Brandt-Pook, C. Huppert, Y. Sir, A. Stahlkopf, F. Sang, N. Ullrich, 2 (2025).

Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES
M. Sangel, E. Bensch, H. Brandt-Pook, T. Röllke, C. Markworth, in: Gesellschaft für Informatik e.V. (Ed.), INFORMATIK 2025, Bonn, 2025, pp. 1363–1371.

LLM gesteuerte Planung zur Reduktion des CO2-Fußabdrucks im Tiefbau
A. Matutat, L. Golin, H. Brandt-Pook, in: Gesellschaft für Informatik e.V. (Ed.), INFORMATIK 2025, Bonn, 2025, pp. 1345–1350.

Multimodal Analysis of Modern Phishing Attacks: Towards an Evolving Dataset of Real-World Data
S. Schultenkämper, F. Bäumer, in: The 13th IEEE International Workshop on Semantic Computing for Social Networking: From User Information to Social Knowledge and Ethical AI, 2025.

Enhancing Social Media Summarization with Instruction Tuned Large Language Models and Adaptive Summary Ranking
S. Schultenkämper, V. Vovchenko, F. Bäumer, in: The 13th IEEE International Workshop on Semantic Computing for Social Networking: From User Information to Social Knowledge and Ethical AI, 2025.

An Application-oriented Review of Standard and Integral Sparse Identification of Nonlinear Dynamics
F.-M. Dockhorn, M. Kohlhase, in: H. Schulte, F. Hoffmann, R. Mikut (Eds.), Proceedings - 34. Workshop Computational Intelligence: Berlin, 21.-22. November 2024, KIT Scientific Publishing, 2024, pp. 53–76.

Evaluierung der Leistungsfähigkeit von LSTM-Modellen für die Approximation physikalischer Systeme 
V. Katter, B. Jaster, M. Schöne, Schriftenreihe des Institute for Data Science Solutions 2 (2024).

Design decisions for integrating Prescriptive Analytics Use Cases into Smart Factories
J. Weller, N. Migenda, S. von Enzberg, M. Kohlhase, W. Schenck, R. Dumitrescu, Procedia CIRP 128 (2024) 424–429.

Technical Readiness of Prescriptive Analytics Platforms: A Survey
M. Niederhaus, N. Migenda, J. Weller, W. Schenck, M. Kohlhase, in: IEEE (Ed.), 2024 35th Conference of Open Innovations Association (FRUCT), IEEE, 2024, pp. 509–519.