[2025] [2024] [2023] [2022] [2021] [2020] [2019] [2018] [2017] [2016] [2015] [2014]

2025

  • Fiedler, M., Xu, R., Lange, A., Ostermann, J., Marx, S., and Betz, T. (2025)Wire Break Detection in Hybrid Towers of Wind Turbines: A Novel Application to Monitor Tendons Using Acoustic Emission Analysis, Applied Sciences 15.
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  • Kruse, M., and Rosenhahn, B. (2025)Multi-Flow: Multi-View-Enriched Normalizing Flows for Industrial Anomaly Detection. In CVPR Workshops 2025.
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  • Reinders, C., Schubert, F., and Rosenhahn, B. (2025)HydraMix: Multi-Image Feature Mixing for Small Data Image Classification, Preprint.
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  • Mittenentzwei, S., Garrison, L. A., Budich, B., Lawonn, K., Dockhorn, A., Preim, B., and Meuschke, M. (2025)AI-based character generation for disease stories: a case study using epidemiological data to highlight preventable risk factors, i-com 1–23.
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  • Schaller, M., Kruse, M., Ortega, A., Lindauer, M., and Rosenhahn, B. (2025)AutoML for Multi-Class Anomaly Compensation of Sensor Drift, Measurement.
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  • Reinders, C., Berdan, R., Besbinar, B., Otsuka, J., and Iso, D. (2025)RAW-Diffusion: RGB-Guided Diffusion Models for High-Fidelity RAW Image Generation. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
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  • Schaller, M., and Rosenhahn, B. (2025)S4ConvD: Adaptive Scaling and Frequency Adjustment for Energy-Efficient Sensor Networks in Smart Buildings. In Preprint.
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  • Schier, M., Schubert, F., and Rosenhahn, B. (2025)Explainable Reinforcement Learning via Dynamic Mixture Policies. In 2025 IEEE International Conference on Robotics and Automation (ICRA), p. To be published.
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  • Benjak, M., and Ostermann, J. (2025)Exploration of Sequence-wise Optimized Parameters for Low Complexity Enhancement Video Coding (LCEVC) on 4K Content. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
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  • Benjak, M., and Ostermann, J. (2025)Progress of the mpeg.org redesign, 18th Meeting of ISO/IEC JTC 1/SC 29/AG 3 Document m71042.
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  • Wehrbein, T., Rudolph, M., Rosenhahn, B., and Wandt, B. (2025)Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery. In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
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  • Schaller, M. (2025)Pulsating Waterjet Cutting Dataset, Kaggle.
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  • Fichter, C., Peters-Erjawetz, S., Gritzner, D., and Ostermann, J. (2025)Unterst{ü}tzung f{ü}r die Bewertung von Windenergiefl{ä}chen, ew - Magazin f{ü}r Energiewirtschaft 3, 30–34.
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  • Norrenbrock, T., Kaiser, T., Biswas, S., Manuvinakurike, R., and Rosenhahn, B. (2025)QPM: Discrete Optimization for Globally Interpretable Image Classification. In The Thirteenth International Conference on Learning Representations.
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  • Bethmann, K., Mahlau, Y., Schubert, F., Munderloh, M., Rosenhahn, B., Roth, B., and Ostermann, J. (2025)Inverse design of robust out-of-plane coupling elements. In proceedings Photonics West.
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  • Schaller, M., Hloch, S., Nag, A., Klichova, D., Janssen, N., Pude, F., Zelenak, M., and Rosenhahn, B. (2025)S4D-Bio Audio Monitoring of Bone Cement Disintegration in Pulsating Fluid Jet Surgery under Laboratory Conditions. In Preprint.
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2024

  • Norrenbrock, T., Rudolph, M., and Rosenhahn, B. (2024)Q-SENN: Quantized Self-Explaining Neural Networks. In AAAI Technical Track on Safe, Robust and Responsible AI, pp. 21482–21491.
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  • Rosenhahn, B., and Hirche, C. (2024)Quantum Normalizing Flows for Anomaly Detection, preprint.
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  • Wallat, J., Jatowt, A., and Anand, A. (2024)Temporal Blind Spots in Large Language Models, ACM International Conference on Web Search and Data Mining (WSDM) (Proceeding, no out yet, Ed.) 17.
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  • Chen, S., Xu, M., Ren, J., Cong, Y., He, S., Xie, Y., Sinha, A., Luo, P., Xiang, T., and Perez-Rua, J.-M. (2024)GenTron: Delving Deep into Diffusion Transformers for Image and Video Generation. In Proc. of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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  • Khan, M., Qiu, Y., Cong, Y., Rosenhahn, B., Suter, D., and Abu-Khalaf, J. (2024)Indoor Scene Change Understanding (SCU): Segment, Describe, and Revert Any Change. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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  • Gritzner, D., and Ostermann, J. (2024)SegForestNet: Spatial-Partitioning-Based Aerial Image Segmentation.
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  • Dockhorn, A., Eberhardinger, M., Hu, C., and M{ü}ller-Brockhausen, M. (2024)Skill-Discovery in (Strategy) Games, Computational Creativity for Game Development (Dagstuhl Seminar 24261) 14, 150–154.
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  • Rudolph, M. S., Lerch, S., Thanasilp, S., Kiss, O., Shaya, O., Vallecorsa, S., Grossi, M., and Holmes, Z. (2024)Trainability barriers and opportunities in quantum generative modeling, npj Quantum Information 10.
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  • Chen, Y.-H., Gao, Z.-L., Yao, Y.-C., Ho, K.-W., Benjak, M., and Peng, W.-H. (2024)Bitstream Generation and Bit Rate Fitting Results of MaskCRT for CVQM HD Sequences, 15th Meeting of ISO/IEC JTC 1/SC 29/AG 5 Document m68079.
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  • Adhisantoso, Y. G., and Cheung, P. (2024)Continuation of the MPEG-G Part 6 Specification Verification and Enhancement Study - m68660, ISO/IEC JTC 1/SC 29/WG 8.
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  • Adhisantoso, Y. G., and Cheung, P. (2024)Input to Requirements about MPEG-G Profiles - m68659, ISO/IEC JTC 1/SC 29/WG 8.
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  • Chen, Y.-H., Xie, H.-S., Chen, C.-W., Gao, Z.-L., Benjak, M., Peng, W.-H., and Ostermann, J. (2024)Maskcrt: Masked conditional residual transformer for learned video compression, IEEE Transactions on Circuits and Systems for Video Technology.
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  • Adhisantoso, Y. G., K{ö}rner, T., M{ü}ntefering, F., Ohm, O., and Voges, J. (2024)HiCMC: High-Efficiency Contact Matrix Compressor (accepted). In BMC Bioinformatics.
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  • Hinrichs, R. (2024)Kompression der Erregungsmuster von Cochlea-Implantaten, VDI Verlag.
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  • M{ü}ntefering, F., Adhisantoso, Y. G., Chandak, S., Ostermann, J., Hernaez, M., and Voges, J. (2024)Genie: the first open-source ISO/IEC encoder for genomic data, Communications Biology 7.
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  • Lange, A., Xu, R., Fiedler, M., Marx, S., and Ostermann, J. (2024)Acoustic Emission Detection in Noisy Environments using Linear Prediction. In Proceedings of the 10th European Workshop on Structural Health Monitoring (EWSHM).
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  • Adhisantoso, Y. G., Cheung, P., and {Ö}zt{ü}rk, {Ü}nsal. (2024)Study on the Verification and Enhancement of the MPEG-G Part 2 Specification - m67352, ISO/IEC JTC 1/SC 29/WG 8.
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  • Hirche, C. (2024)Quantum Doeblin coefficients: A simple upper bound on contraction coefficients. In preprint.
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  • Hinrichs, R., and Ostermann, J. (2024)Pruning-aware Loss Functions for STOI-Optimized Pruned Recurrent Autoencoders for the Compression of the Stimulation Patterns of Cochlear Implants at Zero Delay. In Asilomar Conference on Signals, Systems, and Computers.
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  • Xu, L., Perez-Liebana, D., and Dockhorn, A. (2024)Strategy Game-Playing with Size-Constrained State Abstraction. In Proceedings of the IEEE Conference on Games 2024, pp. 1–8.
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  • Xu, L., Liu, Z., Dockhorn, A., Perez-Liebana, D., Wang, J., Song, L., and Bian, J. (2024)Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning. In Proceedings of the IEEE Conference on Games 2024, pp. 1–8.
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  • Adhisantoso, Y. G., Cheung, P., {Ö}zt{ü}rk, {Ü}nsal, Hernaez, M., Krasinski, R., M{ü}ntefering, F., and Voges, J. (2024)Recommendations of the AHG on MPEG-G Profiles - m67350, ISO/IEC JTC 1/SC 29/WG 8.
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  • Maharlou, H., B{ö}ssel-Debbert, N., Lucht, M., Maier, H. B., M{ü}cke, S., M{ü}ntefering, F., Neuhaus, B., Prokein, J., Reif-Leonhard, C., Voges, J., Weber, H., Weihs, A., Frieling, H., and Oeltze-Jafra, S. (2024)Cooperative Design of a Dashboard for Monitoring the P4D Cohort Study on Major Depression. In EuroVisPosters2024.
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  • Kluger, F., and Rosenhahn, B. (2024)PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus. In AAAI.
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  • N{ü}bel, C., Dockhorn, A., and Mostaghim, S. (2024)Match Point AI: A Novel AI Framework for Evaluating Data-Driven Tennis Strategies. In Proceedings of the Conference on Games 2024, pp. 1–4.
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  • Lange, A., Xu, R., K{ä}ding, M., Marx, S., and Ostermann, J. (2024)Matched Filter for Acoustic Emission Monitoring in Noisy Environments: Application to Wire Break Detection (accepted), acoustics, Special Issue: Advances in Industrial and Research Applications of Acoustic Emission Testing.
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  • Mahlau, Y., Schubert, F., Bethmann, K., Caspary, R., Lesina, A. C., Munderloh, M., Ostermann, J., and Rosenhahn, B. (2024)A flexible framework for large-scale FDTD simulations: open-source inverse design for 3D nanostructures, Preprint.
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  • Benjak, M., and Ostermann, J. (2024)Mock-up of MPEG Website Redesign, 17th Meeting of ISO/IEC JTC 1/SC 29/AG 3 Document m69944.
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  • Chen, Y.-H., Yao, Y.-C., Ho, K.-W., Benjak, M., and Peng, W.-H. (2024)Bitstream Generation and Bit Rate Fitting Results of MaskCRT for CVQM UHD and 4K Sequences, 17th Meeting of ISO/IEC JTC 1/SC 29/AG 5 Document m69870.
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  • Xu, R., Beltran-Gutierrez, R. E., K{ä}ding, M., Lange, A., Marx, S., and Ostermann, J. (2024)Frequency dependent amplitude response of different couplant materials for mounting piezoelectric sensors, NDT \& E International 141.
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  • Cong, Y., Xu, M., Simon, C., Chen, S., Ren, J., Xie, Y., Rosenhahn, B., Xiang, T., and He, S. (2024)FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing. In International Conference on Learning Representations (ICLR).
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  • Hinrichs, R., Gerkens, K., Lange, A., and Ostermann, J. (2024)Blind Extraction of Guitar Effects Through Blind System Inversion and Neural Guitar Effect Modeling, EURASIP Journal on Audio, Speech, and Music Processing.
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  • Schaller, M., Hloch, S., Nag, A., Klichova, D., Janssen, N., Pude, F., Zelenak, M., and Rosenhahn, B. (2024)Bone Cement Removal with Audio-Monitoring and Erosion Depth (Dataset), IEEEDataport.
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  • Xuan, Q. L., Munderloh, M., and Ostermann, J. (2024)Self-supervised Domain Adaptation for Machinery Remaining Useful Life Prediction (accepted), Journal on Reliability Engineering and System Safety, Special Issue: RUL Prediction and System Reliability of Complex Systems.
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  • Tang, M., Antić, Željko, Fardzadeh, P., Pietzsch, S., Schröder, C., Eberhardt, A., van Bömmel, A., Escherich, G., Hofmann, W., Horstmann, M. A., Illig, T., McCrary, J. M., Lentes, J., Metzler, M., Nejdl, W., Schlegelberger, B., Schrappe, M., Zimmermann, M., Miarka-Walczyk, K., Patsorczak, A., Cario, G., Renard, B. Y., Stanulla, M., and Bergmann, A. K. (2024)An artificial intelligence-assisted clinical framework to facilitate diagnostics and translational discovery in hematologic neoplasia, eBioMedicine, Elsevier BV 104, 105171.
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  • Chen, Y.-H., Cheng, C.-W., Benjak, M., and Peng, W.-H. (2024)Progress report on MaskCRT, 15th Meeting of ISO/IEC JTC 1/SC 29/AG 5 Document m66976.
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  • Maier, H. B., Neyazi, A., Bundies, G. L., Meyer-Bockenkamp, F., Bleich, S., Pathak, H., Ziert, Y., Neuhaus, B., M{ü}ller, F.-J., Pollmann, I., Illig, T., M{ü}cke, S., M{ü}ller, M., M{ö}ller, B. K., Oeltze-Jafra, S., Kacprowski, T., Voges, J., M{ü}ntefering, F., Scheiber, J., Reif, A., Aichholzer, M., Reif-Leonhard, C., Schmidt-Kassow, M., Hegerl, U., Reich, H., Unterecker, S., Weber, H., Deckert, J., B{ö}ssel-Debbert, N., Grabe, H. J., Lucht, M., and Frieling, H. (2024)Validation of the predictive value of BDNF -87 methylation for antidepressant treatment success in severely depressed patients—a randomized rater-blinded trial, Trials 25.
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  • Kluger, F., Brachmann, E., Yang, M. Y., and Rosenhahn, B. (2024)Robust Shape Fitting for 3D Scene Abstraction, IEEE Transactions on Pattern Analysis and Machine Intelligence.
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  • Liu, B., Rosenhahn, B., Illig, T., and DeLuca, D. S. (2024)A variational autoencoder trained with priors from canonical pathways increases the interpretability of transcriptome data, PLOS Computational Biology 20, 1–22.
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  • Mahlau, Y., Schubert, F., and Rosenhahn, B. (2024)Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games. In Proceedings of the 41st International Conference on Machine Learning (ICML).
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  • Chen, Y.-H., Chen, C.-W., Gao, Z.-L., Benjak, M., and Peng, W.-H. (2024)Results on the Bit Rate Fitting for MaskCRT, 15th Meeting of ISO/IEC JTC 1/SC 29/AG 5 Document m67455.
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  • Cook, M., Awiszus, M., Carnovalini, F., Charity, M., and Dockhorn, A. (2024)AI for Speedrunning, Computational Creativity for Game Development (Dagstuhl Seminar 24261) 14, 147–150.
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  • Adhisantoso, Y. G., Cheung, P., {Ö}zt{ü}rk, {Ü}nsal, Hernaez, M., Krasinski, R., M{ü}ntefering, F., and Voges, J. (2024)Recommendations of the AHG on MPEG-G Profiles - m68661, ISO/IEC JTC 1/SC 29/WG 8.
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  • Gritzner, D., Peters-Erjawetz, S., Fichter, C., and Ostermann, J. (2024)WindGISKI: Using AI to Propose Areas Suitable for Building New Wind Turbines. In Proceedings of the DHBW AI Transfer Congress 2024.
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  • Jiwatode, M., Schlecht, L., and Dockhorn, A. (2024)Online Optimization of Curriculum Learning Schedules using Evolutionary Optimization. In Proceedings of the Conference on Games 2024, pp. 1–8.
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  • Kaiser, T., Vladimir, U., and Rosenhahn, B. (2024)CHOTA: A Higher Order Accuracy Metric for Cell Tracking. In European Conference on Computer Vision Workshops (ECCVW).
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  • Fuchs, R., Gieseke, R., and Dockhorn, A. (2024)Personalized Dynamic Difficulty Adjustment - Imitation Learning Meets Reinforcement Learning. In Proceedings of the IEEE Conference on Games 2024, pp. 1–2.
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  • Apeldoorn, D., Dockhorn, A., and Panholzer, T. (2024)AbstractSwarm Multi-Agent Logistics Competition: Multi-Agent Collaboration for Improving A Priori Unknown Logistics Scenarios. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp. 1–2.
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  • Reinders, C., Yang, M. Y., and Rosenhahn, B. (2024)Two Worlds in One Network: Fusing Deep Learning and Random Forests for Classification and Object Detection, Volunteered Geographic Information.
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  • Chen, Y.-H., Ho, K.-W., Benjak, M., Ostermann, J., and Peng, W.-H. (2024)On the Rate-Distortion-Complexity Trade-offs of Neural Video Coding. In IEEE 26th International Workshop on Multimedia Signal Processing (MMSP).
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  • Schubert, F., Mahlau, Y., Bethmann, K., Hartmann, F., Caspary, R., Munderloh, M., Ostermann, J., and Rosenhahn, B. (2024)Quantized Inverse Design for Photonic Integrated Circuits, Preprint.
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  • Benjak, M., and Ostermann, J. (2024)Comparison of VVC and LCEVC with a wide set of configurations for 4K content, 16th Meeting of ISO/IEC JTC 1/SC 29/WG 4 Document m68908.
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  • Eberhardinger, M., Cakmak, D., Dockhorn, A., Gaina, R., Goodman, J., Hoover, A. K., Lucas, S. M., Maghsudi, S., and Liebana, D. P. (2024)LLM-based Program Search for Games, Computational Creativity for Game Development (Dagstuhl Seminar 24261) 14, 156–166.
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  • Oguz, M. K., and Dockhorn, A. (2024)Markov Senior - Learning Markov Junior Grammars to Generate User-specified Content. In Proceedings of the IEEE Conference on Games 2024, pp. 1–8.
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  • Chen, Y.-H., Gao, Z.-L., Benjak, M., and Peng, W.-H. (2024)Response to Call for Learning-Based Video Codecs for Study of Quality Assessment by NYCU and LUH, 14th Meeting of ISO/IEC JTC 1/SC 29/AG 5 Document m66163.
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  • Adhisantoso, Y. G., and Cheung, P. (2024)Study on the Verification and Enhancement of the MPEG-G Part 6 Specification - m67351, ISO/IEC JTC 1/SC 29/WG 8.
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  • Gottwald, T., Schier, M., and Rosenhahn, B. (2024)Safe Resetless Reinforcement Learning: Enhancing Training Autonomy with Risk-Averse Agents. In European Conference on Computer Vision Workshops (ECCVW).
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  • Nguyen, M.-H., Onken, A., S{ü}ndermann, J., Shamsuyeva, M., Singla, P., Depuydt, T., Peeters, M., Wagner, P., Bethmann, K., K{ö}rner, J., Endres, H.-J., Lenarz, T., and Doll, T. (2024)Electrochemical degradation of molecularly imprinted polymers for future applications of inflammation sensing in cochlear implants, ACS Omega 9.
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  • Xu, R., Lange, A., Fiedler, M., Ostermann, J., and Marx, S. (2024)Detecting wire breaks in post-tensioned tendons of wind turbines: A signal energy spectrum analysis approach. In Proceedings of the 10th European Workshop on Structural Health Monitoring (EWSHM).
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  • Benjak, M., and Ostermann, J. (2024)Comparison between LCEVC and VVC, 15th Meeting of ISO/IEC JTC 1/SC 29/WG 4 Document m67212.
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  • Kruse, M., Rudolph, M., Woiwode, D., and Rosenhahn, B. (2024)SplatPose \& Detect: Pose-Agnostic 3D Anomaly Detection. In Computer Vision and Pattern Recognition Workshops (CVPRW).
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  • Schaller, M., Schl{ö}r, D., and Hotho, A. (2024)ModeConv: A Novel Convolution for Distinguishing Anomalous and Normal Structural Behavior. In Preprint.
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  • Cong, Y., Xu, M., Simon, C., Chen, S., Ren, J., Xie, Y., Perez-Rua, J.-M., Rosenhahn, B., Xiang, T., and He, S. (2024)FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing. In International Conference on Learning Representations (ICLR).
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2023

  • Rosenhahn, B. (2023)Optimization of Sparsity-Constrained Neural Networks as a Mixed Integer Linear Program, Journal of Optimization Theory and Applications 1–24.
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  • Benjamins, C., Eimer, T., Schubert, F., Mohan, A., D{ö}hler, S., Biedenkapp, A., Rosenhahn, B., Hutter, F., and Lindauer, M. (2023)Contextualize Me - The Case for Context in Reinforcement Learning, Transactions on Machine Learning Research.
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  • Dockhorn, A., Eberhardinger, M., Loiacono, D., Liebana, D. P., and Veltkamp, R. (2023)Pokegen, Human-Game AI Interaction (Dagstuhl Seminar 22251) 12, 39–42.
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  • Mohan, A., Benjamins, C., Wienecke, K., Dockhorn, A., and Lindauer, M. (2023)AutoRL Hyperparameter Landscapes. In Second International Conference on Automated Machine Learning, pp. 1–14.
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  • Zhu, J., Awiszus, M., Cook, M., Dockhorn, A., Eberhardinger, M., Loiacono, D., Lucas, S. M., Matran-Fernandez, A., Liebana, D. P., Thompson, T., and Veltkamp, R. (2023)Explainable AI for Games, Human-Game AI Interaction (Dagstuhl Seminar 22251) 12, 73–75.
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  • Lee, C.-S., Wang, M.-H., Chen, C.-Y., Yang, F.-J., and Dockhorn, A. (2023)Genetic Assessment Agent for High-School Student and Machine Co-Learning Model Construction on Computational Intelligence Experience. In 2023 IEEE Congress on Evolutionary Computation, pp. 1–8.
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  • Roy, S., Wallat, J., Sundaram, S. S., Nejdl, W., and Ganguly, N. (2023)GENEMASK: Fast Pretraining of Gene Sequences to Enable Few-Shot Learning. In Frontiers in Artificial Intelligence and Applications, pp. 2002–2009.
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  • Safikhani, P., and Broneske, D. (2023)Enhancing AutoNLP with fine-tuned BERT models: An evaluation of text representation methods for AutoPyTorch., International Conference on Machine Learning Techniques and NLP 13.
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  • Hachmann, H., and Rosenhahn, B. (2023)Human Spine Motion Capture using Perforated Kinesiology Tape. In Computer Vision and Pattern Recognition Workshops (CVPRW).
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  • Adhisantoso, Y. G., and Voges, J. (2023)Cross-check of M62859 Results on Updated CE Results for Annotation Data Indexing Using B-Tree, ISO/IEC JTC 1/SC 29/WG 8.
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  • Xu, R., Lange, A., K{ä}ding, M., Marx, S., and Ostermann, J. (2023)Energy spectral analysis of wire breaks in post-tensioned tendons for wind turbines. In 19th EAWE PhD Seminar on Wind Energy, pp. 204–207.
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  • Wallat, J., Beringer, F., Anand, A., and Anand, A. (2023)Probing BERT for Ranking Abilities. In Advances in Information Retrieval - 45th European Conference on Information Retrieval, {ECIR} 2023, Dublin, Ireland, April 2-6, 2023, Proceedings, Part {II} (Kamps, J., Goeuriot, L., Crestani, F., Maistro, M., Joho, H., Davis, B., Gurrin, C., Kruschwitz, U., and Caputo, A., Eds.), pp. 255–273, Springer.
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  • Krause, L. M. K., Manderfeld, E., Gnutt, P., Vogler, L., Wassick, A., Richard, K., Rudolph, M., Hunsucker, K. Z., Swain, G. W., Rosenhahn, B., and Rosenhahn, A. (2023)Semantic Segmentation for Fully Automated Macrofouling Analysis on Coatings after Field Exposure, Biofouling 39, 64–79.
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  • Hussein, H., Farfar, K. E., Oelen, A., Karras, O., and Auer, S. (2023)Increasing Reproducibility in Science by Interlinking Semantic Artifact Descriptions in a Knowledge Graph. In Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration - 25th International Conference on Asia-Pacific Digital Libraries, {ICADL} 2023, Taipei, Taiwan, December 4-7, 2023, Proceedings, Part {II} (Goh, D. H.- }Lian, Chen, S.- }Jiun, and Tuarob, S., Eds.), pp. 220–229, Springer.
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  • Fathalla, S., Lange, C., and Auer, S. (2023)An Upper Ontology for Modern Science Branches and Related Entities. In The Semantic Web - 20th International Conference, {ESWC} 2023, Hersonissos, Crete, Greece, May 28 - June 1, 2023, Proceedings (Pesquita, C., Jim{{é}}nez{-}Ruiz, E., McCusker, J. P., Faria, D., Dragoni, M., Dimou, A., Troncy, R., and Hertling, S., Eds.), pp. 436–453, Springer.
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  • Hachmann, H., and Rosenhahn, B. (2023)Color-aware Deep Temporal Backdrop Duplex Matting System. In MMSys ’23: Proceedings of the 14th ACM Multimedia Systems Conference.
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  • Olson, C., Wagner, L., and Dockhorn, A. (2023)Evolutionary Optimization of Baba Is You Agents. In 2023 IEEE Congress on Evolutionary Computation (CEC), pp. 1–8.
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  • Kaiser, T., Reinders, C., and Rosenhahn, B. (2023)Compensation Learning in Semantic Segmentation. In Computer Vision and Pattern Recognition Workshops (CVPRW).
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  • Brockmann*, J. T., Rudolph*, M., Rosenhahn, B., Wandt, B., and equal contribution), (*. (2023)The voraus-AD Dataset for Anomaly Detection in Robot Applications, Transactions on Robotics.
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  • Lange, A., Hinrichs, R., and Ostermann, J. (2022)Localized Damage Detection in Wind Turbine Rotor Blades using Airborne Acoustic Emissions (accepted). In 9th Asia-Pacific Workshops on Structural Health Monitoring 2022 (APWSHM 2022).
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  • Xuan, Q. L., Adhisantoso, Y. G., Munderloh, M., and Ostermann, J. (2022)Uncertainty-Aware Remaining Useful Life Prediction for Predictive Maintenance Using Deep Learning (accepted). In 16th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME.
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  • Dockhorn, A. (2022)Choosing Representation, Mutation, and Crossover in Genetic Algorithms, IEEE Computational Intelligence Magazine 17, 52–53.
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2021

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  • Hao, C., Liao, W., Tang, X., Yang, M. Y., Sester, M., and Rosenhahn, B. (2021)AMENet: Attentive Maps Encoder Network for Trajectory Prediction. In ISPRS Journal of Photogrammetry and Remote Sensing, pp. 253–266.
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  • Hinrichs, R., Dunkel, J., and Ostermann, J. (2021)Mixing Time-Frequency Distributions for Speech Command Recognition using Convolutional Neural Networks. In 6th International Conference on Frontiers of Signal Processing (ICFSP 2021).
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  • Pestel-Schiller, U., and Ostermann, J. (2021)Interpreter-Based Evaluation of Compressed SAR Images Using JPEG and HEVC Intra Coding: Compression Can Improve Usability. In 13th European Conference on Synthetic Aperture Radar.
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  • Hornakova*, A., Kaiser*, T., Rolinek, M., Rosenhahn, B., Swoboda, P., Henschel, R., and equal contribution), (*. (2021)Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths. In International Conference on Computer Vision (ICCV).
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  • Krause, L., Koc, J., Rosenhahn, B., and Rosenhahn, A. (2020)Fully Convolutional Neural Network for Detection and Counting of Diatoms on Coatings after Short-Term Field Exposure, Environmental Science and Technology 54, 10022–10030.
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  • Adhisantoso, Y. G., Rohlfing, C., Voges, J., and Ostermann, J. (2020)Method for the coding of genotype likelihood of variant m55356, ISO/IEC JTC 1/SC 29/WG 8.
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  • Meuel, H., and Ostermann, J. (2020)Analysis of Affine Motion-Compensated Prediction in Video Coding, IEEE Transactions on Image Processing 29, 7359–7374.
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  • Ackermann, H., Meuel, H., Rosenhahn, B., and Ostermann, J. (2020)Verfahren und Vorrichtung zum Aufnehmen eines Digitalbildes 1–12.
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  • Adhisantoso, Y. G., Rohlfing, C., Voges, J., and Ostermann, J. (2020)Extension to method for the coding of genomic variants m55355, ISO/IEC JTC 1/SC 29/WG 8.
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  • Wulff, A., Mast, M., Hassler, M., Montag, S., Marschollek, M., and Jack, T. (2020)Designing an openEHR-Based Pipeline for Extracting and Standardizing Unstructured Clinical Data Using Natural Language Processing, Methods Inf Med 59, e64-e78.
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  • Zell, P., Rosenhahn, B., and Wandt, B. (2020)Weakly-supervised Learning of Human Dynamics. In European Conference on Computer Vision (ECCV).
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  • Eimer, T., Biedenkapp, A., Hutter, F., and Lindauer, M. (2020)Towards Self-Paced Context Evaluations for Contextual Reinforcement Learning. In Workshop on Inductive Biases, Invariances and Generalization in Reinforcement Learning (BIG@ICML’20).
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  • Samayoa, Y., and Ostermann, J. (2020)Parameter Selection for a Video Communication System based on HEVC and Channel Coding. In IEEE Latin-American Conference on Communications (LATINCOM 2020), p. 5.
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  • Denkena, B., Dittrich, M., Lindauer, M., Mainka, and St{ü}renburg, L. (2020)Using AutoML to Optimize Shape Error Prediction in Milling Processes. In Proceedings of 20th Machining Innovations Conference for Aerospace Industry (MIC).
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  • Wallat, J., Singh, J., and Anand, A. (2020)BERTnesia: Investigating the capture and forgetting of knowledge in BERT. In Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, BlackboxNLP@EMNLP 2020, Online, November 2020 (Alishahi, A., Belinkov, Y., Chrupala, G., Hupkes, D., Pinter, Y., and Sajjad, H., Eds.), pp. 174–183, Association for Computational Linguistics.
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  • Dockhorn, A., Grueso, J. H., Jeurissen, D., and Perez-Liebana, D. (2020)“Stratega”: A General Strategy Games Framework. In Joint Proceedings of the AIIDE 2020 Workshops co-located with 16th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2020); Artificial Intelligence for Strategy Games, pp. 1–7.
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  • Gebauer, C., and Bennewitz, M. (2020)Penalized Bootstrapping for Reinforcement Learning in Robot Control. In International Conference on Machine Learning and Applications (CMLA).
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  • Minh, C. N. D., Gilani, S. Z., Islam, S., and Suter, D. (2020)Learning Affordance Segmentation: An Investigative Study. In DICTA2020.
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  • Biedenkapp, A., Rajan, R., Hutter, F., and Lindauer, M. (2020)Towards TempoRL: Learning When to Act. In Workshop on Inductive Biases, Invariances and Generalization in Reinforcement Learning (BIG@ICML’20).
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  • J{ü}rgens, H., Hinrichs, R., and Ostermann, J. (2020)Recognizing Guitar Effects and Their Parameter Settings. In Proceedings of the DAFx2020 (Vol I).
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  • Reinders, C., and Rosenhahn, B. (2020)Neuronale Netze: Angriffe und Verteidigung - Ich sehe was, was du nicht siehst, iX Developer 2020 – Machine Learning 2.0.
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  • Dockhorn, A., Saxton, C., and Kruse, R. (2020)Association Rule Mining for Unknown Video Games, Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications 257–270.
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  • Gaina, R. D., Balla, M., Dockhorn, A., Montoliu, R., and Perez liebana, D. (2020)TAG : A Tabletop Games Framework. In Joint Proceedings of the AIIDE 2020 Workshops co-located with 16th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2020); CEUR Workshop Proceedings (2020), pp. 1–7.
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  • Rudolph, M., Wandt, B., and Rosenhahn, B. (2020, August)Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows..
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  • Awiszus, M., Schubert, F., and Rosenhahn, B. (2020, October)TOAD-GAN: Coherent Style Level Generation from a Single Example.
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  • Gra{{\"s}}hof, S., Ackermann, H., Brandt, S., and Ostermann, J. (2020)Multilinear Modelling of Faces and Expressions, Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
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  • Henschel, R., von Marcard, T., and Rosenhahn, B. (2020)Accurate Long-Term Multiple People Tracking using Video and Body-Worn IMUs, IEEE Transactions on Image Processing.
    URLBibTeXEndNoteBibSonomy
  • Gaina, R. D., Balla, M., Dockhorn, A., Montoliu, R., and Perez-Liebana, D. (2020)Design and Implementation of TAG: A Tabletop Games Framework., arXiv:2009.12065.
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  • Shala, G., Biedenkapp, A., Awad, N., Adriaensen, S., Lindauer, M., and Hutter, F. (2020)Learning Step-Size Adaptation in CMA-ES. In Proceedings of the Sixteenth International Conference on Parallel Problem Solving from Nature ({PPSN}’20).
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  • Dockhorn, A., and Kruse, R. (2020)Predicting Cards Using a Fuzzy Multiset Clustering of Decks, International Journal of Computational Intelligence Systems (IJCIS) 13, 1207–1217.
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  • Feurer, M., Eggensperger, K., Falkner, S., Lindauer, M., and Hutter, F. (2020)Auto-Sklearn 2.0: The Next Generation. In arXiv:2007.04074 [cs.LG].
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  • Dockhorn, A., and Lucas, S. (2020)Local Forward Model Learning for GVGAI Games. In IEEE Conference on Computational Intelligence and Games, CIG, pp. 716–723.
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  • Tan, D., Maybery, M., Gilani, S. Z., Alvares, G., Mian, A., Suter, D., and Whitehouse, A. (2020)A broad autism phenotype expressed in facial morphology, Translational Psychiatry 10.
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  • Hartmann, F., Sommer, A., Pestel-Schiller, U., and Osterman, J. (2020)A scheme for stabilizing the image generation for VideoSAR. In 13th European Conference on Synthetic Aperture Radar.
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  • Awad, N., Shala, G., Deng, D., Mallik, N., Feurer, M., Eggensperger, K., Biedenkapp, A., Vermetten, D., Wang, H., Carola, D., Lindauer, M., and Hutter, F. (2020)Squirrel: A Switching Hyperparameter Optimizer, arxiv.
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  • Pestel-Schiller, U., and Ostermann, J. (2020)Interpreter-Based Evaluation of Compressed SAR Images Using JPEG and HEVC Intra Coding: Compression Can Improve Usability. In 13th European Conference on Synthetic Aperture Radar.
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  • Dockhorn, A. (2020)Dissertation: Prediction-based Search for Autonomous Game-Playing, Otto von Guericke University Magdeburg 1–231.
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  • Awiszus, M., Schubert, F., and Rosenhahn, B. (2020)TOAD-GAN: Coherent Style Level Generation from a Single Example. In AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment Best Student Paper Award.
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  • Kuhnke, F., Rumberg, L., and Ostermann, J. (2020)Two-Stream Aural-Visual Affect Analysis in the Wild. In 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), pp. 366–371.
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  • Hornakova*, A., Henschel*, R., Rosenhahn, B., Swoboda, P., and equal contribution), (*. (2020)Lifted Disjoint Paths with Application in Multiple Object Tracking, Proceedings of the 37th International Conference on Machine Learning (ICML).
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  • Samayoa, Y., and Ostermann, J. (2020)Modified Active Constellation Extension Algorithm for PAPR Reduction in OFDM Systems. In 2020 Wireless Telecommunications Symposium (WTS), p. 5.
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  • Voges, J., Paridaens, T., M{ü}ntefering, F., Mainzer, L. S., Bliss, B., Yang, M., Ochoa, I., Fostier, J., Ostermann, J., and Hernaez, M. (2020)GABAC: an arithmetic coding solution for genomic data, Bioinformatics 36, 2275–2277.
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  • Kluger, F., Ackermann, H., Yang, M. Y., and Rosenhahn, B. (2020)Temporally Consistent Horizon Lines. In International Conference on Robotics and Automation (ICRA).
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  • Liao, W., Cheng, X., Yang, J., Roth, S., Goesele, M., Yang, M. Y., and Rosenhahn, B. (2020)LR-CNN: Local-aware Region CNN for Vehicle Detection in Aerial Imagery. In XXIV ISPRS Congress, p. 8.
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2019

  • Ostermann, J., Denkena, B., Bergmann, B., Schmidt, A., Krause, T., and Voges, J. (2019)Compression of Machine Tool Data, ISO/IEC JTC1/SC29/WG11.
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  • Wilbers, D., Rumberg, L., and Stachniss, C. (2019)Approximating marginalization with sparse global priors for sliding window SLAM-graphs.. In 2019 Third IEEE International Conference on Robotic Computing (IRC), pp. 25–31.
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  • Dockhorn, A., and Mostaghim, S. (2019)Introducing the Hearthstone-AI Competition, arXiv:1906.04238 1–4.
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  • Dockhorn, A., Schwensfeier, T., and Kruse, R. (2019)Fuzzy Multiset Clustering for Metagame Analysis. In Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019), pp. 536–543.
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  • Dockhorn, A., Lucas, S. M., Volz, V., Bravi, I., Gaina, R. D., and Perez-Liebana, D. (2019)Learning Local Forward Models on Unforgiving Games. In 2019 IEEE Conference on Games (CoG).
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  • Lucas, S. M., Alexander, Dockhorn, V., Gaina, R. D., Bravi, I., Perez-Liebana, D., Mostaghim, S., and Kruse, R. (2019)A Local Approach to Forward Model Learning: Results on the Game of Life Game. In 2019 IEEE Conference on Games (CoG), pp. 1–8.
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  • Dengel, R., Woiwode, D., Florsch{ü}tz, N., Huber, V., Muller, T., von Pichowski, J., Rabinowitsch, A., Scholz, S., Sch{ü}lein, H., Steinweg, E., Stippel, B., St{ö}ferle, P., Wittekind, I., Wizemann, O., Zaft, A., Zembrot, L., and Griebenow, K. (2019)QUEST ON BEXUS 27. In 24th ESA Symposium on European Rocket \& Balloon Programmes and Related.
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2018

  • Dockhorn, A., Tippelt, T., and Kruse, R. (2018)Model Decomposition for Forward Model Approximation. In 2018 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1751–1757.
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  • Pichler, E., Bethmann, K., Kelb, C., and Schade, W. (2018)Rapid prototyping of all-polymer AWGs for FBG readout using direct laser lithography, Optics Letters.
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  • Waltermann, C., Bethmann, K., Doering, A., Jjang, Y., Baumann, A. L., Anglemahr, M., and Schade, W. (2018)Multiple off-axis fiber Bragg gratings for 3D shape sensing, Applied Optics.
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  • Dockhorn, A., and Kruse, R. (2018)Detecting Sensor Dependencies for Building Complementary Model Ensembles. In Proceedings of the 28. Workshop Computational Intelligence, Dortmund, 29.-30. November 2018, pp. 217–234.
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  • Dockhorn, A., and Apeldoorn, D. (2018)Forward Model Approximation for General Video Game Learning. In Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games (CIG’18), pp. 425–432.
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  • Sabsch, T., Braune, C., Dockhorn, A., and Kruse, R. (2018)Using a multiobjective genetic algorithm for curve approximation. In 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings, pp. 1–6.
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  • Dockhorn, A., Frick, M., Akkaya, {Ü}nal, and Kruse, R. (2018)Predicting Opponent Moves for Improving Hearthstone AI. In 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2018, pp. 621–632.
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2017

  • Dockhorn, A., Doell, C., Hewelt, M., and Kruse, R. (2017)A decision heuristic for Monte Carlo tree search doppelkopf agents. In 2017 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1–8.
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  • Dockhorn, A., and Kruse, R. (2017)Combining cooperative and adversarial coevolution in the context of pac-man. In 2017 IEEE Conference on Computational Intelligence and Games, CIG 2017, pp. 60–67.
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2016

  • Dockhorn, A., Braune, C., and Kruse, R. (2016)Variable density based clustering. In 2016 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1–8.
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  • Orighici, R., Bethmann, K., Zywietz, U., Reinhard, C., and Schade, W. (2016)All-polymer arrayed waveguide gratings at 850 nm: design, fabrication and characterization, Optics Letters.
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2015

  • Waltermann, C., Baumann, A. L., Bethmann, K., Doering, A., Koch, J., Angelmahr, m., and Schade, W. (2015)Femtosecond laser processing of evanescence field coupled waveguides in single mode glass fibers for optical 3D shape sensing and navigation. In Fiber Optic Sensors and Applications.
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  • Held, P., Dockhorn, A., Krause, B., and Kruse, R. (2015)Clustering Social Networks Using Competing Ant Hives. In 2015 Second European Network Intelligence Conference, pp. 67–74.
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  • Held, P., Dockhorn, A., and Kruse, R. (2015)On Merging and Dividing Social Graphs, Journal of Artificial Intelligence and Soft Computing Research 5, 23–49.
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  • Dockhorn, A. (2015)Master Thesis: Hierarchical Extensions and Cluster Validation Techniques for DBSCAN, Otto von Guericke University Magdeburg 1–80.
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  • Pichler, E., Bethmann, K., Zywietz, U., Reinhard, C., Spad, C., Gleissner, U., Kelb, C., Roth, B., Willer, U., and Schade, W. (2015)Ring resonators in polymer foils for sensing of gaseous species. In Fiber Optic Sensors and Applications.
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  • Bethmann, K., Orghici, R., Pichler, E., Zywietz, U., Reinhard, C., Schmidt, T., Gleissner, U., Kelb, C., Roth, B., Willer, U., and Schade, W. (2015)New design for a wavelength demultiplexing device. In Fiber Optic Sensors and Applications.
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  • Dockhorn, A., Braune, C., and Kruse, R. (2015)An Alternating Optimization Approach based on Hierarchical Adaptations of DBSCAN. In 2015 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 749–755.
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2014

  • Held, P., Dockhorn, A., and Kruse, R. (2014)On Merging and Dividing of Barabasi-Albert-graphs. In 2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS).
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  • Held, P., Dockhorn, A., and Kruse, R. (2014)Generating Events for Dynamic Social Network Simulations. In Information Processing and Management of Uncertainty in Knowledge-Based Systems, pp. 46–55.
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  • Dockhorn, A. (2014)Bachelor Thesis: Computergest{ü}tzte Analyse onkologischer Daten mithilfe Graphischer Modelle, Otto von Guericke University of Magdeburg 1–80.
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