| 2026 | CHI | Mind in the Machine? Cross-Disciplinary Perceptions of Consciousness in Artificial Intelligence. | Hamid Moradi, Ignacio Avellino, Patrick Krauss, Dario Zanca, Ilka Hein, Bjoern M. Eskofier, Madeleine Flaucher |
| 2026 | HCI | LUMOS: Self-supervised Pretraining for Multimodal Task Load Estimation in Adaptive Instructional Systems. | Maximilian P. Oppelt, Nadine R. Lang-Richter, Bjoern M. Eskofier |
| 2025 | AIME | Machine Learning Predictions of Overall and Progression-Free Survival in Advanced Breast Cancer. | Tatiana Merzhevich, Alexandros Tanzanakis, Emmanuelle Salin, Claudia Quiering, Christoph F. Kurz, Benjamin Gmeiner, Bjoern M. Eskofier |
| 2024 | ACSSC | End-to-End Learning for Human Pose Estimation from Raw Millimeter Wave Radar Data. | Jonas Mueller, Lukas Engel, Daniel Krauss, Ingrid Ullmann, Martin Vossiek, Bjoern M. Eskofier, Eva Dorschky |
| 2024 | BPM | Efficient Training of Recurrent Neural Networks for Remaining Time Prediction in Predictive Process Monitoring. | Johannes Roider, Dario Zanca, Bjoern M. Eskofier |
| 2024 | ICPM | Predictions in Predictive Process Monitoring with Previously Unseen Categorical Values. | Johannes Roider, Weixin Wang, Dario Zanca, Martin Matzner, Bjoern M. Eskofier |
| 2024 | NordiCHI | Motivational Factors for Experienced Users of Mobile Health Applications in Heart Failure Management. | Madeleine Flaucher, Florian Pruemer, Katharina Maria Jaeger, Jana Rolny, Patricia Trissler, Sebastian Eckl, Bjoern M. Eskofier, Heike Leutheuser |
| 2023 | IPIN | Uncertainty-based Fingerprinting Model Selection for Radio Localization. | Maximilian Stahlke, Tobias Feigl, Sebastian Kram, Bjoern M. Eskofier, Christopher Mutschler |
| 2022 | ICML | Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification. | Leo Schwinn, Leon Bungert, An Nguyen, Ren Raab, Falk Pulsmeyer, Doina Precup, Bjoern M. Eskofier, Dario Zanca |
| 2021 | ICIS | Integration of Artificial Intelligence in the Organizational Adoption - A Configurational Perspective. | Philipp Laut, Philipp Dumbach, Bjoern M. Eskofier |
| 2021 | IJCNN | Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks. | Leo Schwinn, An Nguyen, Ren Raab, Dario Zanca, Bjoern M. Eskofier, Daniel Tenbrinck, Martin Burger |
| 2020 | ICFHR | Digitizing Handwriting with a Sensor Pen: A Writer-Independent Recognizer. | Mohamad Wehbi, Tim Hamann, Jens Barth, Bjoern M. Eskofier |
| 2020 | ICPM | Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring. | An Nguyen, Srijeet Chatterjee, Sven Weinzierl, Leo Schwinn, Martin Matzner, Bjoern M. Eskofier |
| 2020 | ISMAR | An Image-Based Method for Measuring Strabismus in Virtual Reality. | Wolfgang A. Mehringer, Markus Wirth, Stefan Gradl, Luis S. Durner, Matthias Ring, Annemarie F. Laudanski, Bjoern M. Eskofier, Georg Michelson |
| 2019 | CBMS | Fostering Natural Language Question Answering Over Knowledge Bases in Oncology EHR. | Marco Antnio Schwertner, Sandro Jos Rigo, Denis A. de Araujo, Alan Barcelos Silva, Bjoern M. Eskofier |
| 2015 | ISWC | Sensor-based stroke detection and stroke type classification in table tennis. | Peter Blank, Julian Hobach, Dominik Schuldhaus, Bjoern M. Eskofier |
| 2015 | ISWC | A framework for early event detection for wearable systems. | Eva Dorschky, Dominik Schuldhaus, Harald Koerger, Bjoern M. Eskofier |
| 2014 | BSN | Performance Comparison of Two Step Segmentation Algorithms Using Different Step Activities. | Heike Leutheuser, Sina Doelfel, Dominik Schuldhaus, Samuel J. Reinfelder, Bjoern M. Eskofier |
| 2014 | BSN | Real-Time ECG and EMG Analysis for Biking Using Android-Based Mobile Devices. | Robert Richer, Peter Blank, Dominik Schuldhaus, Bjoern M. Eskofier |
| 2013 | BSN | Pattern classification of foot strike type using body worn accelerometers. | Bjoern M. Eskofier, Ed Musho, Heiko Schlarb |
| 2013 | BSN | Classification of kinematic swimming data with emphasis on resource consumption. | Ulf Jensen, Franziska Prade, Bjoern M. Eskofier |
| 2013 | BSN | Shimmer, Cooja and Contiki: A new toolset for the simulation of on-node signal processing algorithms. | Patrick Kugler, Philipp Nordhus, Bjoern M. Eskofier |
| 2012 | BSN | Embedded Classification of the Perceived Fatigue State of Runners: Towards a Body Sensor Network for Assessing the Fatigue State during Running. | Bjoern M. Eskofier, Patrick Kugler, Daniel Melzer, Pascal Kuehner |
| 2012 | ICPR | Classification of kinematic golf putt data with emphasis on feature selection. | Ulf Jensen, Bjoern M. Eskofier, Frank Dassler |
| 2012 | ICPR | Software-based performance and complexity analysis for the design of embedded classification systems. | Matthias Ring, Ulf Jensen, Patrick Kugler, Bjoern M. Eskofier |
| 2012 | ICPR | Classification of surfaces and inclinations during outdoor running using shoe-mounted inertial sensors. | Dominik Schuldhaus, Patrick Kugler, Ulf Jensen, Bjoern M. Eskofier, Heiko Schlarb, Magnus Leible |
| 2010 | GI | Eingebettete Klassifikation der Ermdung von Laufsportlern. | Bjoern M. Eskofier, Daniel Melzer, Patrick Kugler, Ulf Jensen |
| 2008 | ICPR | Classification of perceived running fatigue in digital sports. | Bjoern M. Eskofier, Florian Hoenig, Pascal Kuehner |
| 2006 | ICIP | Influence of the Presentation Time on Subjective Votings of Coded Still Images. | Marcus Barkowsky, Bjoern M. Eskofier, Jens Bialkowski, Andr Kaup |