Künstliche Intelligenz in der Erstellung von E-Musik
N. Hahn, Künstliche Intelligenz in Der Erstellung von E-Musik, Technische Hochschule Ostwestfalen-Lippe, Detmold, 2025.

Revealing the aging mechanisms of solketal, oxymethylene ether, and mixtures thereof as promising e-fuels
A. Lichtinger, M.J. Poller, O. Schröder, J. Türck, T. Garbe, J. Krahl, M. Jakob, J. Albert, Fuelf: The Science and Technology of Fuel and Energy 390 (2025).

Exploring the impact of virtual reality on presence: findings from a classroom experiment
C. Austermann, F. von Blanckenburg, K. von Blanckenburg, T. Utesch, Frontiers in Education 10 (2025).

Modelling activated carbon hydrogen storage tanks using machine learning models
G.H. Klepp, Energyf: The International Journalf; Technologies, Resources, Reserves, Demands, Impact, Conservation, Management, Policy 306 (2024).

Study of Contactless Computer Vision-Based Road Condition Estimation Methods Within the Framework of an Operational Design Domain Monitoring System
R. Subramanian, U. Büker, Engf: Advances in Engineering 5 (2024) 2778–2804.

Digitalization and the Emergence of E-Mobility Technology in German Regions
P. Wolf, M. Kudic, T. Buchmann, Journal of Innovation Economics &; Management 45 (2024) 95–122.

Elasto-mechanical properties of thermo-hygro-mechanical (THM) densified oil palm sawn timber
N. Kölli, K. Frühwald-König, Wood Material Science and Engineering  (2024) 1–18.

Development and Integration of a Digital Reflection Assistant as a Complement to Building Physics Education
R. von Borstel, S. Schwickert, Development and Integration of a Digital Reflection Assistant as a Complement to Building Physics Education, Filodiritto Publisher, 2024.

Critical View on the Qualification of Electronic Tongues Regarding Their Performance in the Development of Peroral Drug Formulations with Bitter Ingredients
D. Steiner, A. Meyer, I. Immohr, M. Pein-Hackelbusch, Pharmaceutics 16 (2024).

An Image Retrieval Pipeline in a Medical Data Integration Center.
K.Y. Cheng, S. Pazmino, B. Bergh, M. Lange-Hegermann, B. Schreiweis, An Image Retrieval Pipeline in a Medical Data Integration Center., IOS Press, Incorporated, 2024.

Deep learning-based localisation of combine harvester components in thermal images
H. Senke, D. Sprute, U. Büker, H. Flatt, Deep Learning-Based Localisation of Combine Harvester Components in Thermal Images, KIT Scientific Publishing, Karlsruhe, 2024.

Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis
L. Wehmeier, S. Eilermann, O. Niggemann, A. Deuter, Task-Fidelity Assessment for Programming Tasks Using Semantic Code Analysis, IEEE, [Piscataway, NJ], 2024.

Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance
P. Wunderlich, F. Wiegräbe, H. Dörksen, INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 20 (2023).

Transformative learning. Methodological and conceptual prerequisites for future-oriented skill-building
M. Alavi, T. Schmohl, Transformative Learning. Methodological and Conceptual Prerequisites for Future-Oriented Skill-Building, Filodiritto Editore, Bologna, 2023.

A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions
R. Fulek, S. Ramm, C. Kiera, M. Pein-Hackelbusch, U. Odefey, Pharmaceutics 15 (2023).

Online Machine Learning and Surrogate-Model-Based Optimization for Improved Production Processes Using a Cognitive Architecture
A. Hinterleitner, R. Schulz, L. Hans, A. Subbotin, N. Barthel, N. Pütz, M. Rosellen, T. Bartz-Beielstein, C. Geng, P. Priss,   Applied Sciencesf: Open Access Journal 13 (2023).

Nile Red as a Fluorescence Marker and Antioxidant for Regenerative Fuels
A. Lichtinger, M.J. Poller, J. Türck, O. Schröder, T. Garbe, J. Krahl, A. Singer, M. Jakob, J. Albert, Energy Technologyf: Generation, Conversion, Storage, Distribution 11 (2023).

Approaching Extracurricular Activities for Teaching and Learning on Sustainable Rehabilitation of Mass Housing: Reporting from the Arena of Architectural Higher Education
A. Dragutinovic, A. Milovanovic, M. Stojanovski, T. Damjanovska, A. orevic, A. Nikezic, U. Pottgiesser, A. Ivanovska Deskova, J. Ivanovski, Sustainability 15 (2023).

Design of individual simulation games in manufacturing companies for game-based learning
F. Machon, S. Gabriel, B. Latos, C. Holtkötter, B. Lütkehoff, L. Asmar, Dr.A. Kühn, Prof.Dr.R. Dumitrescu, Procedia CIRP 119 (2023) 1017–1022.

What Can Educators Learn from Social Game Design in University Online Teaching?
T. Bröker, N. Schmulius, T. Schmohl, F. Dulisch, S. Marquardt, M. Höllen, T. Voit, B. Zinger, What Can Educators Learn from Social Game Design in University Online Teaching?, Libreriauniversitaria.it, Bologna, 2022.

Adaptiver Griff-in-die-Kiste – Die methodische Lücke zwischen Forschung und Industrie
T. Stuke, T. Bartsch, T. Rauschenbach, Adaptiver Griff-in-die-Kiste – Die methodische Lücke zwischen Forschung und Industrie, 1st ed., Open Access, Pforzheim, 2022.

Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control
A. Müller, V. Rangras, T. Ferfers, F. Hufen, L. Schreckenberg, J. Jasperneite, G. Schnittker, M. Waldmann, M. Friesen, M. Wiering, Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control, IEEE, [Piscataway, NJ], 2022.

Die Verwendung von Tonaufnahmen im LMS : Entwicklung spezifischer digitaler Werkzeuge an Hochschulen.
D. Treiber, Die Verwendung von Tonaufnahmen im LMSf: Entwicklung spezifischer digitaler Werkzeuge an Hochschulen., Technische Hochschule Ostwestfalen-Lippe, Detmold, 2022.

Requirements and Design of a Training System for Domestic Workers
V. Grimm, L. Geiger, J. Rubart, G. Faller, Requirements and Design of a Training System for Domestic Workers, Gesellschaft für Informatik e.V., Bonn, 2022.

Towards Real-World Deployment of Reinforcement Learning for Traffic  Signal Control
A. Müller, V. Rangras, G. Schnittker, M. Waldmann, M. Friesen, T. Ferfers, L. Schreckenberg, F. Hufen, J. Jasperneite, M. Wiering, Towards Real-World Deployment of Reinforcement Learning for Traffic  Signal Control, IEEE, Piscataway, NJ, 2021.

Determination of free amino nitrogen in beer mash with an inline NIR transflectance probe and data evaluation by machine learning algorithms
P. Wefing, F. Conradi, J. Rämisch, P. Neubauer, J. Schneider, Brewing Science  74 (2021) 107–121.

More of the same? Effects of volume and variety of social media brand engagement behavior
T. Schäfers, T. Falk, A. Kumar, J. Schamari, Journal of Business Research 135 (2021) 282–294.

Cognitive capabilities for the CAAI in cyber-physical production systems
J. Strohschein, A. Fischbach, A. Bunte, H. Faeskorn-Woyke, N. Moriz, T. Bartz-Beielstein, The International Journal of Advanced Manufacturing Technology 115 (2021) 3513–3532.

Das eCoFolio - ein reflexives E-Portfolio in der Lehramtsausbildung für Berufsschulen
S. Claes, Y. Fischer, C. Mertens, in: S. Heuchemer, B. Szczyrba, T. van Treeck (Eds.), Hochschuldidaktik als Akteurin der Hochschulentwicklung, 1st ed., wbv , Bielefeld, 2020, pp. 207–213.

Making Object Detection Available to Everyone - A Hardware Prototype for Semi-automatic Synthetic Data Generation
A. Besginow, S. Büttner, C. Röcker, in: 22nd International Conference on Human-Computer Interaction, Springer, Berlin, 2020, pp. 178–192.

Conceptual Design of an AI-Based Learning Assistant 
T. Schmohl, S. Schwickert, O. Glahn, Conceptual Design of an AI-Based Learning Assistant , Libreriauniversitaria.it, Bologna, 2020.

Bacher than Bach? On Musicologically Informed AI-Based Bach Chorale Harmonization
A. Leemhuis, S. Waloschek, A. Hadjakos, Bacher than Bach? On Musicologically Informed AI-Based Bach Chorale Harmonization, Springer International Publishing, Cham, 2020.

Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0
F. Berns, M. Lange-Hegermann, C. Beecks, Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0, SCITEPRESS - Science and Technology Publications, 2020.

Einsatz von eTutorien als komplementäre Lehr- und Lernform
K. von Blanckenburg, E. Knost, in: T. Schmohl, D. Schäffer (Eds.), Lehrexperimente der Hochschulbildung- Didaktische Innovationen aus den Fachdisziplinen, 2. Auflage, wbv , Bielefeld, 2019, pp. 41–46.

Handling Work Complexity with AR/Deep Learning
H. Dhiman, S. Büttner, C. Röcker, R. Reisch, in: Proceedings of the 31st Australian Conference on Human-Computer-Interaction (OzCHI’19)f: 2nd Dec.-5th Dec. 2019, Perth/Fremantle, WA, Australia, ACM, 2019, pp. 518–522.

Machine Learning for Assistance Systems: Pattern-Based Approach to Online Step Recognition
M. Fullen, A. Maier, A. Nazarenko, S. Jenderny, C. Röcker, in: IEEE (Ed.), 2019 IEEE 17th International Conference on Industrial Informatics (INDIN), IEEE, Piscataway, NJ , 2019, pp. 296–302.

Exploring the Acceptance of Video-Based Medical Support
C. Röcker, in: W. Karwowski, T. Ahram (Eds.), Intelligent Human Systems Integration 2019, Springer, Cham, 2019, pp. 551–556.

Assistance System to Support Troubleshooting of Complex Industrial Systems
D. Lang, P. Wunderlich, M. Heinz, L. Wisniewski, J. Jasperneite, O. Niggemann, C. Röcker, in: 14th IEEE International Workshop on Factory Communication Systems (WFCS), IEEE, Piscataway, NJ, 2018.

Towards a New Scholarship of German Science Education
T. Schmohl, Towards a New Scholarship of German Science Education, 7th ed., libreriauniversitaria.it edizioni, Padova, 2018.

Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction
S. Büttner, P. Wunderlich, M. Heinz, O. Niggemann, C. Röcker, in: A. Holzinger (Ed.),  Machine Learning and Knowledge Extractionf: First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings, Springer, Cham, 2017, pp. 69–82.

The research—education nexus: Basic premises and practical application of the "Scholarship" movement
T. Schmohl, The Research—Education Nexus: Basic Premises and Practical Application of the “Scholarship” Movement, Libreriauniversitaria.it, Bologna, 2017.

eLearning in der Hochschullehre: Entwicklung eines Leitfadens für den Studiengang Medienproduktion
F. Böhl, eLearning in der Hochschullehre: Entwicklung eines Leitfadens für den Studiengang Medienproduktion, Hochschule Ostwestfalen-Lippe, Lemgo, 2017.

Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning
S. Robert, S. Büttner, C. Röcker, A. Holzinger, in: A. Holzinger (Ed.), Machine Learning for Health Informaticsf: State-of-the-Art and Future Challenges , Springer, Cham, CH, 2016, pp. 357–376.

On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda
O. Niggemann, V. Lohweg, in: Twenty-Ninth Conference on Artificial Intelligence (AAAI-15), Austin, Texas, USA, 2015.

Smart Health: Open Problems and Future Challenges
A. Holzinger, C. Röcker, M. Ziefle, eds., Smart Health: Open Problems and Future Challenges, Springer, Heidelberg, 2015.

From Computer Innovation to Human Integration: Current Trends and Challenges for Pervasive Health Technologies
C. Röcker, M. Ziefle, A. Holzinger, in: A. Holzinger, M. Ziefle, C. Röcker (Eds.), Pervasive Health, Springer, London, 2014, pp. 1–17.

cLike a Family Member Who Takes Care of Med 3 User Anthropomorphic Representations and Trustworthiness of Smart Home Environments
O. Sack, C. Röcker, International Journal of Virtual Worlds and Human Computer Interaction 2 (2014) 28–36.

Intelligent Environments as a Promising Solution for Addressing Current Demographic Changes
C. Röcker, International Journal of Innovation, Management and Technologyf: IJIMT 4 (2013) 76–79.

Smart Medical Services: A Discussion of State-of-The-Art Approaches
C. Röcker, International Journal of Machine Learning and Computingf: IJMLC 2 (2012) 226–230.

Current Approaches to Ambient Assisted Living
C. Röcker, M. Ziefle, in: 2012 International Conference on Future Information Technology and Management Science &; Engineeringf; Lectute Notes in Information Technologyf: (LNIT), 2012, pp. 6–14.

Designing Ambient Assisted Living Applications: An Overview of State-of-the-Art Implementation Concepts
C. Röcker, in: X. Chunxiao (Ed.), Modeling, Simulation and Control, 2011, pp. 167–172.

Teaching Landscape Planning - Landscape Perception and Analysis
C. Leiner, B. Stemmer, Gis.Science (2011) 105–110.

Fuzzy-Pattern-Classifier Training with Small Data Sets
U. Mönks, V. Lohweg, D. Petker, in: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems, 28 Jun 2010 - 02 July 2010, Dortmund, Germany, 2010.

Vergleich zweier Gefrierverfahren von Stutenmilch hinsichtlich der anschließenden Vakuumgefriertrocknung, Kurzfassung
R. Czwalinna, P. Wilhelm, G. Lehre, U. Müller, in: 2001.