Natural Language Processing

S. Nayak, C. Schuler, D. Saha, T. Baumann (2022) A Deep Dive Into Neural Synchrony Evaluation for Audio-visual Translation. In: International Conference on Multimodal Interaction. ACM, Bengaluru India
K. Kinoshita, M. Delcroix, S. Gannot, E. Habets, R. Haeb-Umbach, W. Kellermann, V. Leutnant, R. Maas, T. Nakatani, B. Raj, A. Sehr, T. Yoshioka A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research. EURASIP Journal on Advances in Signal Processing.
T. Baumann, S. Ashutosh (2021) Evaluating Heuristics for Audio-Visual Translation. In: Proceedings of the Conference on Computational Humanities Research 2021. Amsterdam, Netherlands
A. Windbuhler, S. Okkesim, O. Christ, S. Mottaghi, S. Rastogi, M. Schmuker, T. Baumann, U. G. Hofmann (2022) Machine Learning Approaches to Classify Anatomical Regions in Rodent Brain from High Density Recordings. In: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, Glasgow, Scotland, United Kingdom
S. Nayak, T. Baumann, S. Bhattacharya, A. Karakanta, M. Negri, M. Turchi (2020) See me Speaking? Differentiating on Whether Words are Spoken On Screen or Off to Optimize Machine Dubbing. In: Companion Publication of the 2020 International Conference on Multimodal Interaction. ACM, Virtual Event Netherlands
N. Krüger, K. Fischer, P. Manoonpong, O. Palinko, L. Bodenhagen, T. Baumann, J. Kjærum, I. Rano, L. Naik, W. K. Juel, F. Haarslev, J. Ignasov, E. Marchetti, R. M. Langedijk, A. Kollakidou, K. C. Jeppesen, C. Heidtmann, L. Dalgaard (2021) The SMOOTH-Robot: A Modular, Interactive Service Robot. Front Robot AI 8.
R. Maas, C. Huemmer, A. Sehr, W. Kellermann (2015) A Bayesian view on acoustic model-based techniques for robust speech recognition. EURASIP Journal on Advances in Signal Processing.
T. Himaya, A. Sehr, T. Yoshida, S. Hangai (2020) Text/Language-Independent Unknown Speaker Rejection Method Using LSP Codes. IEEE 9th Global Conference on Consumer Electronics (GCCE).

Mathematische Grundlagen neuronaler Netze

S. Townley, A. Ilchmann, M. G. Weiß, W. McClements, A. C. Ruiz, D. Prätzel-Wolters (2000) Existence and Learning of Oscillations in Recurrent Neural Networks. IEEE Transactions on Neural Networks.
M. G. Weiß (1998) Learning Periodic Signals with Recurrent Neural Networks. Journal of Applied Mathematics and Mechanics.
M. G. Weiß (1997) Learning Oscillations Using Adaptive Control. International Conference on Artificial Neural Networks (ICANN).
S. Bock, M. G. Weiß (2019) A Proof of Local Convergence for the Adam Optimizer. 2019 International Joint Conference on Neural Networks (IJCNN).
S. Bock, M. G. Weiß (2019) Non-Convergence and Limit Cycles in the Adam optimizer. 2019 International Conference on Artificial Neural Networks ICANN.
S. Bock, M. G. Weiß (2023) U-Shape Phenomenon with Gaussian Noise and Clipped Inputs. International Conference on Information and Computer Technologies (ICICT)

Software Engineering

L. Grabinger, F. Hauser, J. Mottok (2022) Accessing the Presentation of Causal Graphs and an Application of Gestalt Principles with Eye Tracking. In: In Proceedings of the 29th IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2022). New York, NY, USA
F. Hauser, S. Schreistetter, R. Reuter, J. Mottok, H. Gruber, K. Holmqvist, N. Schorr (2020) Code reviews in C++: Preliminary results from an eye tracking study. In: Proceedings of the ACM Eye Tracking Research and Application. ACM, Stuttgart, Germany
M. Nivala, F. Hauser, J. Mottok, H. Gruber (2016) Developing visual expertise in software engineering: An eye tracking study. In: Proceedings of the IEEE EDUCON 2016. Abu Dhabi, UAE
F. Hauser, M. Reiß, M. Nivala, J. Mottok, H. Gruber (2017) Eye Tracking Applied: Visual Expertise in Code Reviews. Barcelona, Spain
I. Hutzler, F. Hauser, R. Reuter, J. Mottok, H. Gruber (2018) Will the Noun/Verb Analysis be Used to Generate Class Diagrams? An Eye Tracking Study. Seville, Spain
W. Mauerer, S. Klessinger, S. Scherzinger (2022) Beyond the Badge: Reproducibility Engineering as a Lifetime Skill. SEENG@International Conference on Software Engineering (ICSE)
W. Mauerer (2022) Concrete Reproducibility for Computer Science. Springer Nature
W. Mauerer, S. Scherzinger (2021) Digitale Forschungswerkzeuge — Nachhaltigkeit für Software und Daten. Forschung & Lehre (Deutscher Hochschullehrerverband)
M. Joblin, S. Apel, C. Hunsen, W. Mauerer (2017) Classifying Developers into Core and Peripheral: An Empirical Study on Count and Network Metrics. 2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE).
M. Joblin, W. Mauerer, S. Apel, J. Siegmund, D. Riehle (2015) From Developer Networks to Verified Communities: A Fine-Grained Approach. 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering.
M. Joblin, S. Apel, Wolfgang Mauerer (2016) Evolutionary trends of developer coordination: a network approach. Empirical Software Engineering.
R. Ramsauer, L. Bulwahn, D. Lohmann, W. Mauerer (2020) The Sound of Silence: Mining Security Vulnerabilities from Secret Integration Channels in Open-Source Projects. Proceedings of the 12th Cloud Computing Security Workshop (CCSW ’20).
R. Ramsauer, D. Lohmann, W. Mauerer (2019) The List is the Process: Reliable Pre-Integration Tracking of Commits on Mailing Lists. Proceedings of the 41st International Conference on Software Engineering (ICSE ’19).
W. Mauerer, S. Scherzinger (2020) Educating Future Software Architects in the Art and Science of Analysing Software Data. Proc SEUH Workshop
W. Mauerer, M. Joblin, D. A. Tamburri, C. Paradis, R. Kazman, Sven Apel (2021) In Search of Socio-Technical Congruence: A Large-Scale Longitudinal Study. IEEE Transactions on Software Engineering.

Safety & Security

A. Rudolph, S. Voget, J. Mottok (2018) A consistent safety case argumentation for artificial intelligence in safety related automotive systems. Toulouse, France
N. Weiß, E. Pozzobon, J. Mottok, V. Matoušek (2021) Automated Reverse Engineering of CAN Protocols. NNW.

Quantum AI

T. Winker, S. Groppe, V. J. E. Uotila, Z. Yan, J. Lu, M. Franz, W. Mauerer (2023) Quantum Machine Learning: Foundation, New Techniques, and Opportunities for Database Research. In: Proceedings of ACM SIGMOD/PODS International Conference on Management of Data
W. Mauerer, S. Scherzinger (2022) 1-2-3 Reproducibility for Quantum Software Experiments. Q-SANER@IEEE International Conference on Software Analysis, Evolution and Reengineering
M. Franz, L. Wolf, M. Periyasamy, C. Ufrecht, D. D. Scherer, A. Plinge, C. Mutschler, W. Mauerer (2022) Uncovering Instabilities in Variational-Quantum Deep Q-Networks. Journal of The Franklin Institute.
A. Bayerstadler, G. Becquin, J. Binder, T. Botter, H. Ehm, T. Ehmer, M. Erdmann, Norbert Gaus, Philipp Harbach, Maximilian Hess, Johannes Klepsch, Martin Leib, Sebastian Luber, Andre Luckow, Maximilian Mansky, Wolfgang Mauerer, Florian Neukart, Christoph Niedermeier, Lilly Palackal, Ruben Pfeiffer, Carsten Polenz, Johanna Sepulveda, Tammo Sievers, Brian Standen, Michael Streif, Thomas Strohm, Clemens Utschig-Utschig, Daniel Volz, Horst Weiss, Fabian Winter (2021) Industry Quantum Computing Applications. EPJ Quantum Technology.
M. Schönberger, M. Franz, S. Scherzinger, Wolfgang Mauerer (2022) Peel | Pile? Cross-Framework Portability of Quantum Software. ICSA.


A. Gschossmann, S. Jobst, J. Mottok, R. Bierl (2019) A Measure of Confidence of Artificial Neural Network Classifiers. In: ARCS Workshop 2019; 32nd International Conference on Architecture of Computing Systems
T. Rück, M. Müller, S. Jobst, S. Weigl, J. Pangerl, R. Bierl, F. Matysik Digital Twin of a photoacoustic trace gas sensor for monitoring methane in complex gas compositions. Sensors and Actuators B: Chemical.


Robotik und Steuerung

F. Schmid, T. Wild, J. Schneidewind, T. Vogl, L. Schuhegger, S. Galka (2022) Simulation Based Approach for Reconfiguration and Ramp Up Scenario Analysis in Factory Planning. In: 2022 Winter Simulation Conference (WSC). IEEE, Singapore
M. Weiß (2021) Optimization of Cartesian Tasks with Configuration Selection. 2nd IMA Conference on Mathematics of Robotics.
M. G. Weiß (2019) Optimal Object Placement Using a Virtual Axis. International Symposium on Advances in Robot Kinematics
M. G. Weiß (2015) A Class of 6R Robots and Poses with 16 Analytical Solutions. Proceedings of the IMA Conference on Mathematics of Robotics
M. Kurze, M. G. Weiß, M. Otter (2006) Methods and Tools to Design and Test Robot Control Systems. 37th International Symposium on Robotics (ISR)


Smart Meters

M. Melzer, J. Dunnweber, T. Baumann (2022) Towards Smart Home Data Interpretation Using Analogies to Natural Language Processing. In: 2022 IEEE International Conference on Smart Internet of Things (SmartIoT)


Neue Mobilitätskonzepte

T. Stadler, A. Sarkar, J. Dünnweber (2021) Bus Demand Forecasting for Rural Areas Using XGBoost and Random Forest Algorithm. In: Computer Information Systems and Industrial Management. Springer International Publishing, Cham
S. Haimerl, C. Tschernitz, T. Schiller, C. Weig, S. Galka, U. Briem (2022) Development of a Simulation Framework for Urban Ropeway Systems and Analysis of the Planned Ropeway Network in Regensburg, Germany. In: Proceedings of the Winter Simulation Conference. IEEE Press, Singapore, Singapore



C. Birkenmeier (2020) A hybrid computational approach for non-Newtonian blood flows using Euler-Euler modelling and deep regression. Doctoral thesis
C. Birkenmaier, L. Krenkel (2021) Convolutional Neural Networks for Approximation of Blood Flow in Artificial Lungs. Notes on Numerical Fluid Mechanics and Multidisciplinary Design.

Medizinische Assistenzsysteme

R. Mendel, L. A. de Souza Jr., D. Rauber, J. P. Papa, C. Palm (2020) Semi-supervised Segmentation Based on Error-Correcting Supervision. European Conference on Computer Vision (ECCV).
R. Mendel, D. Rauber, L. A. de Souza Jr., J. P. Papa, C. Palm (2023) Error-Correcting Mean-Teacher: Corrections instead of consistency-targets applied to semi-supervised medical image segmentation. Computers in Biology and Medicine.
M. W. Scheppach, D. Rauber, J. Stallhofer, A. Muzalyova, V. Otten, C. Manzeneder, T. Schwamberger, J. Wanzl, J. Schlottmann, V. Tadic, A. Probst, E. Schnoy, C. Palm (2023) Detection of duodenal villous atrophy on endoscopic images using a deep learning algorithm. Gastrointestinal Endoscopy.
A. Ebigbo, R. Mendel, M. W. Scheppach, A. Probst, N. Shahidi, F. Prinz, C. Fleischmann, C. Römmele, S. K. Gölder, G. Braun, D. Rauber, T. Rückert, L. A. de Souza Jr., J. P. Papa, M. Byrne, C. Palm, H. Messmann (2022) Vessel and tissue recognition during third-space endoscopy using a deep learning algorithm. Gut.
C. Römmele, R. Mendel, C. Barrett, H. Kiesl, D. Rauber, T. Rückert, L. Kraus, J. Heinkele, C. Dhillon, B. Grosser, F. Prinz, J. Wanzl, C. Fleischmann, S. Nagl, E. Schnoy, J. Schlottmann, E. S. Dellon, H. Messmann, C. Palm, A. Ebigbo (2022) An artificial intelligence algorithm is highly accurate for detecting endoscopic features of eosinophilic esophagitis. Scientific Reports.
L. A. de Souza Jr., R. Mendel, S. Strasser, A. Ebigbo, A. Probst, H. Messmann, J. P. Papa, C. Palm (2021) Convolutional Neural Networks for the evaluation of cancer in Barrett’s esophagus: Explainable AI to lighten up the black-box. Computers in Biology and Medicine.
A. Ebigbo, R. Mendel, T. Rückert, L. Schuster, A. Probst, J. Manzeneder, F. Prinz, M. Mende, I. Steinbrück, S. Faiss, D. Rauber, L. A. de Souza Jr., J. P. Papa, P. Deprez, T. Oyama, A. Takahashi, S. Seewald, P. Sharma, M. F. Byrne, C. Palm, H. Messmann (2020) Endoscopic prediction of submucosal invasion in Barrett’s cancer with the use of Artificial Intelligence: A pilot Study. Endoscopy.
J. Arribas, G. Antonelli, L. Frazzoni, L. Fuccio, A. Ebigbo, F. v. d. Sommen, N. Ghatwary, C. Palm, M. Coimbra, F. Renna, J. J. G. H. M. Bergman, P. Sharma, H. Messmann, C. Hassan, M. J. Dinis-Ribeiro (2021) Standalone performance of artificial intelligence for upper GI neoplasia: a meta-analysis. Gut.
A. Ebigbo, R. Mendel, A. Probst, J. Manzeneder, F. Prinz, L. A. de Souza Jr., J. P. Papa, C. Palm, H. Messmann (2020) Real-time use of artificial intelligence in the evaluation of cancer in Barrett’s oesophagus. Gut.

Digitale Modelle

L. Engelhardt, M. Melzner, L. Havelkova, P. Fiala, P. Christen, S. Dendorfer, U. Simon (2021) A new musculoskeletal AnyBody detailed hand model. Computer Methods in Biomechanics and Biomedical Engineering.
A. Saffert, M. Melzner, S. Dendorfer (2021) Biomechanical analysis of the right elevated glenohumeral joint in violinists during legato-playing. THC.
M. Aurbach, J. Špička, F. Süß, S. Dendorfer (2020) Evaluation of musculoskeletal modelling parameters of the shoulder complex during humeral abduction above 90°. Journal of Biomechanics.
M. Melzner, F. Süß, S. Dendorfer (2022) The impact of anatomical uncertainties on the predictions of a musculoskeletal hand model – a sensitivity study. Computer Methods in Biomechanics and Biomedical Engineering.
S. Auer, J. Schiebl, K. Iversen, D. S. Chander, M. Damsgaard, S. Dendorfer (2022) Biomechanical assessment of the design and efficiency of occupational exoskeletons with the AnyBody Modeling System. Z Arb Wiss.
M. Aurbach, J. Špička, F. Süß, J. Vychytil, L. Havelková, T. Ryba, S. Dendorfer (2020) Torus obstacle method as a wrapping approach of the deltoid muscle group for humeral abduction in musculoskeletal simulation. Journal of Biomechanics
M. Melzner, C. Pfeiffer, F. Suess, S. Dendorfer (2022) Musculoskeletal simulation of elbow stability for common injury patterns. Journal of Orthopaedic Research
E. D. Pieri, F. Atzori, S. J. Ferguson, S. Dendorfer, M. Leunig, M. Aepli (2020) Contact force path in total hip arthroplasty: effect of cup medialisation in a whole-body simulation. HIP International
M. Weiherer, A. Eigenberger, B. Egger, V. Brébant, L. Prantl, C. Palm (2022) Learning the shape of female breasts: an open-access 3D statistical shape model of the female breast built from 110 breast scans. The Visual Computer.

Ethische, rechtliche und soziale Aspekte

Empirische Sozialforschung

S. Haug (2021) Nutzung, Planung und Bewertung digitaler Assistenzsysteme in der Pflege: Ergebnisse einer Befragung von Führungskräften in ambulanten und stationären Einrichtungen. In: Gute Technik für ein gutes Leben im Alter?
D. Frommeld, S. Haug, E. Currle, K. Weber (2022) Telepräsenzroboter in der Schlaganfallrehabilitation. Pflegezeitschrift.
U. Scorna, D. Frommeld, S. Haug, K. Weber (2022) Digitale Assistenzsysteme in der Altenpflege – Fluch oder Segen? Eine empirische Untersuchung zu Chancen, Risiken und Auswirkungen. In: Organisationen in Zeiten der Digitalisierung
S. Haug, M. Vetter (2021) Altersgerechtes Wohnen im Quartier: Das Beispiel Margaretenau Regensburg.
U. Scorna, D. Frommeld, S. Haug, K. Weber (2022) Digitale Technik in der Pflege als Generallösung? Neue Perspektiven auf altersgerechte Assistenzsysteme. In: Gegenwart und Zukunft sozialer Dienstleistungsarbeit. Chancen und Risiken der Digitalisierung in der Sozialwirtschaft. Springer VS
S. Haug, M. Vetter, K. Weber (2020) Gebäudesanierung zwischen Energieeffizienz und Sozialverträglichkeit: Zwei empirische Fallstudien. TATuP.
S. Haug, L. Glashauser, B. Großmann, C. Pohlt, T. Schlegl, A. Wackerbarth, K. Weber (2016) Gamification im Anlernprozess am Industriearbeitsplatz – ein inklusiver Ansatz. Studie zur Entwicklung eines Anlerntutorials für ein gestengesteuertes teilautomatisiertes Assistenzsystem. Technische Unterstützungssysteme, die die Menschen wirklich wollen, Proceedingsband
U. Scorna, K. Weber, S. Haug (2018) ELSI in Serious Games für die technikunterstützte medizinische Ausbildung: Das Beispiel HaptiVisT. Technische Unterstützungssysteme, die die Menschen wirklich wollen Konferenzband
D. Franz, U. Katzky, S. Neumann, J. Perret, M. Hofer, M. Huber, S. Schmitt-Rüth, S. Haug, K. Weber, M. Prinzen, C. Palm, T. Wittenberg (2016) Haptisches Lernen für Cochlea Implantationen. Konzept HaptiVisT-Projekt. 15 Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie (CURAC)
K. Weber, S. Haug (2018) Ist automatisiertes Fahren nachhaltig? Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis (TATuP).
J. Höcherl, S. Niedersteiner, S. Haug, C. Pohlt, T. Schlegl, K. Weber, T. Berlehner (2016) Smart Workbench: Ein multimodales und bidirektionales Assistenzsystem für den industriellen Einsatz. Technische Unterstützungssysteme, die die Menschen wirklich wollen, Proceedingsband

Technikfolgenabschätzung und Ethik

A. Sonar, K. Weber (2022) Künstliche Intelligenz und Gesundheit ‒ Ethische, philosophische und sozialwissenschaftliche Explorationen. Franz Steiner Verlag
D. Schneider, A. Sonar, K. Weber (2022) Zwischen Automatisierung und ethischem Anspruch – Disruptive Effekte des KI-Einsatzes in und auf Professionen der Gesundheitsversorgung. Künstliche Intelligenz im Gesundheitswesen.
K. Weber (2020) Verunsicherung des ärztlichen Selbstverständnisses durch Künstliche Intelligenz? Ein Überblick über potenzielle Auswirkungen ihres Einsatzes im ärztlichen Alltag
H. Gerhards, K. Weber, U. Bittner (2020) Machine Learning Healthcare Applications (ML-HCAs) are no stand-alone systems but part of an ecosystem – A broader ethical and health technology assessment approach is needed. The American Journal of Bioethics.
K. Weber (2020) KI Gestern und Heute: Einsichten aus der Frühgeschichte der KI für aktuelle ethische Überlegungen zum Einsatz von KI in der Medizin. Arbeit 29.
K. Weber (2018) Computers as Omnipotent Instruments of Power: Hopes, Fears and Actual Change in Administration, Politics, and Society from the 1960s to 1980s. The ORBIT Journal.
K. Weber (2013) What is it Like to Encounter an Autonomous Artificial Agent? AI & Society.
K. Weber (2018) Autonomie und Moralität als Zuschreibung. Maschinenethik.
K. Weber (2018) Maschinenethik und Technikethik. Handbuch Maschinenethik.
K. Weber (1999) Simulation und Erklärung. Internationale Hochschulschriften