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

2024

  • Rosenhahn, B., and Hirche, C. (2024)Quantum Normalizing Flows for Anomaly Detection, preprint.
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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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  • 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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  • 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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  • 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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  • 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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  • Hirche, C. (2024)Quantum Doeblin coefficients: A simple upper bound on contraction coefficients. In preprint.
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  • Hinrichs, R. (2024)Kompression der Erregungsmuster von Cochlea-Implantaten, VDI Verlag.
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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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • Kluger, F., and Rosenhahn, B. (2024)PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus. In AAAI.
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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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  • 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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  • 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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2023

  • Schubert, F., Benjamins, C., D{ö}hler, S., Rosenhahn, B., and Lindauer, M. (2023)POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning, Transactions on Machine Learning Research.
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  • Hinrichs, R., Bilsky, J., and Ostermann, J. (2023)Vector-Quantized Feedback Recurrent Autoencoders for the Compression of the Stimulation Patterns of Cochlear Implants at Zero Delay. In Proceedings of the 24th International Conference on Digital Signal Processing.
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  • Adhisantoso, Y. G., Voges, J., Rohlfing, C., Tunev, V., Ohm, J.-R., and Ostermann, J. (2023)GVC: Efficient Random Access Compression for Gene Sequence Variations. In BMC Bioinformatics, p. 13.
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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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  • Liapis, A., Awiszus, M., Champandard, A. J., Cook, M., Denisova, A., Dockhorn, A., Thompson, T., and Zhu, J. (2023)Artificial Intelligence for Audiences, Human-Game AI Interaction (Dagstuhl Seminar 22251) 12, 50–54.
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  • L{ü}dtke, U., Bornman, J., de Wet, F., Heid, U., Ostermann, J., Rumberg, L., der Linde, J. V., and Ehlert, H. (2023)Multidisciplinary Perspectives on Automatic Analysis of Children’s Language Samples: Where Do We Go from Here?, Folia Phoniatrica et Logopaedica 75, 1–12.
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  • Gebauer, C., Rumberg, L., Ehlert, H., L{ü}dtke, U., and Ostermann, J. (2023)Exploiting Diversity of Automatic Transcripts from Distinct Speech Recognition Techniques for Children’s Speech. In Accepted to Interspeech 2023.
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  • Ehlert, H., Beaulac, E., Wallbaum, M., Gebauer, C., Rumberg, L., Ostermann, J., and L{ü}dtke, U. (2023)Collecting and Annotating Natural Child Speech Data – Challenges and Interdisciplinary Perspectives. In Elektronische Sprachsignalverarbeitung (ESSV), pp. 72–78.
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  • Cong, Y., Yi, J., Rosenhahn, B., and Yang, M. (2023)SSGVS: Semantic Scene Graph-to-Video Synthesis. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops.
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  • Glandorf*, P., Kaiser*, T., Rosenhahn, B., and (*contributed equally). (2023)HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization. In International Conference on Computer Vision Workshops (ICCVW).
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  • Ren, Z., Nguyen, T. T., Chang, Y., and Schuller, B. W. (2023)Fast yet effective speech emotion recognition with self-distillation. In ICASSP.
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  • Avetisyan, H., Safikhani, P., and Broneske, D. (2023)Laughing Out Loud – Exploring AI-Generated and Human-Generated Humor, International Conference on Soft Computing, Artificial Intelligence and Applications (SCAI 2023).
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  • Kuhnke, F., and Ostermann, J. (2023)Domain Adaptation for Head Pose Estimation Using Relative Pose Consistency, IEEE Transactions on Biometrics, Behavior, and Identity Science.
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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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  • Adhisantoso, Y. G., Voges, J., and Ostermann, J. (2023)PEKORA: High-Performance 3D Genome Reconstruction Using K-th Order Spearman’s Rank Correlation Approximation [Talk]. In ISMB/ECCB 2023.
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  • D’Souza, J., Hrou, M., and Auer, S. (2023)Evaluating Prompt-Based Question Answering for Object Prediction in the Open Research Knowledge Graph. In Database and Expert Systems Applications - 34th International Conference, {DEXA} 2023, Penang, Malaysia, August 28-30, 2023, Proceedings, Part {I} (Strauss, C., Amagasa, T., Kotsis, G., Tjoa, A. M., and Khalil, I., Eds.), pp. 508–515, Springer.
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  • D’Souza, J., Mulang’, I. O., and Auer, S. (2023)Ranking facts for explaining answers to elementary science questions, Nat. Lang. Eng. 29, 228–253.
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  • Pestel-Schiller, U., Busch, J., Meinicke, P.-R., and Ostermann, J. (2023)Gain Adapted Quantization in HEVC Coding Applied to Drone Remote Sensing. In 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS).
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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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  • Giglou, H. B., D’Souza, J., and Auer, S. (2023)LLMs4OL: Large Language Models for Ontology Learning. In The Semantic Web - {ISWC} 2023 - 22nd International Semantic Web Conference, Athens, Greece, November 6-10, 2023, Proceedings, Part {I} (Payne, T. R., Presutti, V., Qi, G., Poveda{-}Villal{{ó}}n, M., Stoilos, G., Hollink, L., Kaoudi, Z., Cheng, G., and Li, J., Eds.), pp. 408–427, Springer.
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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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  • Safikhani, P., Avetisyan, H., F{ö}ste-Eggers, D., and Broneske, D. (2023)Automated occupation coding with hierarchical features: A data-centric approach to classification with pre-trained language models., Discover Artificial Intelligence.
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  • W{ö}rz, N., Woiwode, D., Sondheim, J., Behrens, D., Rudy, D., and Gl{ü}cksklee, T. (2023)Pflanzenforschung an Bord der ISS, BIOspektrum 29 29, 557.
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  • Xie, H.-S., Chen, Y.-H., Peng, W.-H., Benjak, M., and Ostermann, J. (2023)Rate Adaptation for Learned Two-layer B-frame Coding without Signaling Motion Information. In IEEE International Conference on Visual Communications and Image Processing (VCIP).
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  • M{ü}ntefering, F., Ostermann, J., and Voges, J. (2023)BACON: Bacterial Clone Recognition from Metagenomic Sequencing Data, AICPM 2023.
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  • Dockhorn, A., and Kruse, R. (2023)State and Action Abstraction for Search and Reinforcement Learning Algorithms, Artificial Intelligence in Control and Decision-making Systems 181–198.
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  • Benjak, M., Chen, Y.-H., Peng, W.-H., and Ostermann, J. (2023)Learning-Based Scalable Video Coding with Spatial and Temporal Prediction. In IEEE International Conference on Visual Communications and Image Processing (VCIP).
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  • Hinrichs, R., Sitcheu, A. J. Y., and Ostermann, J. (2023)Continuous Sign-Language Recognition using Transformers and Augmented Pose Estimation. In Proceedings of the International Conference on Pattern Recognition Applications and Methods.
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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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  • Ekaputra, F. J., Llugiqi, M., Sabou, M., Ekelhart, A., Paulheim, H., Breit, A., Revenko, A., Waltersdorfer, L., Farfar, K. E., and Auer, S. (2023)Describing and Organizing Semantic Web and Machine Learning Systems in the SWeMLS-KG. 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. 372–389, Springer.
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  • Rudolph, M., Wehrbein, T., Rosenhahn, B., and Wandt, B. (2023)Asymmetric Student-Teacher Networks for Industrial Anomaly Detection. In Winter Conference on Applications of Computer Vision (WACV).
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  • Tang, M., Antic, Z., Fardzadeh, P., Schröder, C., Pietzsch, S., Lentes, J., Hofmann, W., von Wolfggersdorff, L., Zimmerman, M., Horstmann, M., Nejdl, W., Cario, G., Stanulla, M., and Bergmann, A. K. (2023)A machine learning based clinical platform for cancer subtyping and data integration in hematological malignancies, Annals of Oncology 34, S550.
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  • Nandy, A., Kapadnis, M. N., Goyal, P., and Ganguly, N. (2023)CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural Text. In The 2023 Conference on Empirical Methods in Natural Language Processing.
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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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  • Awiszus, M., Dockhorn, A., Hoover, A. K., Liapis, A., Lucas, S. M., Eladhari, M. P., Schrum, J., and Volz, V. (2023)Language Models for Procedural Content Generation, Human-Game AI Interaction (Dagstuhl Seminar 22251) 12, 34–37.
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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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  • Auer, S., Barone, D. A. C., Bartz, C., Cortes, E. G., Jaradeh, M. Y., Karras, O., Koubarakis, M., Mouromtsev, D., Pliukhin, D., Radyush, D., Shilin, I., Stocker, M., and Tsalapati, E. (2023, March)SciQA benchmark: Dataset and {RDF} dump (Version 1.0.1), Zenodo.
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  • Rohlfing, C., Meyer, T., Schneider, J., and Voges, J. (2023)Python Wrapper for Context-based Adaptive Binary Arithmetic Coding. In 2023 IEEE International Conference on Visual Communications and Image Processing (VCIP).
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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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  • Lange, A., K{ä}ding, M., Xu, R., Marx, S., and Ostermann, J. (2023)Semi-supervised learning for acoustic emission monitoring of tendons in prestressed concrete bridges. In 14th International Workshop on Structural Health Monitoring (IWSHM).
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  • Xiao, J., Basso, L., Nejdl, W., Ganguly, N., and Sikdar, S. (2023)IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers, arXiv preprint arXiv:2305.06741.
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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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  • Wehrbein, T., Rosenhahn, B., Matthews, I., and Stoll, C. (2023)Personalized 3D Human Pose and Shape Refinement. In International Conference on Computer Vision Workshops (ICCVW).
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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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  • Roy, S., Ganguly, N., Sural, S., and Rudra, K. (2023)Interpretable Clinical Trial Search using Pubmed Citation Network. In 2023 IEEE International Conference on Digital Health (ICDH), pp. 328–338.
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  • Cong, Y., Yang, M., and Rosenhahn, B. (2023)RelTR: Relation Transformer for Scene Graph Generation, IEEE transactions on pattern analysis and machine intelligence (TPAMI).
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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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  • Adhisantoso, Y. G. (2023)Cross-check of Philips’s Response to Core Experiment for Annotation Data Indexing using B-Tree m62224, ISO/IEC JTC 1/SC 29/WG 8.
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  • Poker, Y., von Hardenberg, S., Hofmann, W., Tang, M., Baumann, U., Schwerk, N., Wetzke, M., Lindenthal, V., Auber, B., Schlegelberger, B., Ott, H., von Bismarck, P., Viemann, D., Dressler, F., Klemann, C., and Bergmann, A. K. (2023)Systematic genetic analysis of pediatric patients with autoinflammatory diseases, Frontiers in Genetics, Frontiers Media {SA} 14.
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  • Rabby, G., D’Souza, J., Oelen, A., Dvorackova, L., Sv{{á}}tek, V., and Auer, S. (2023)Impact of {COVID-19} research: a study on predicting influential scholarly documents using machine learning and a domain-independent knowledge graph, J. Biomed. Semant. 14, 18.
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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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  • Antoniou, G., and Batsakis, S. (2023)Defeasible Reasoning with Large Language Models–Initial Experiments and Future Directions. In Proceedings of the17th International Rule Challenge, RuleML 2023, p. 7687.
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  • Schier, M., Reinders, C., and Rosenhahn, B. (2023)Learned Fourier Bases for Deep Set Feature Extractors in Automotive Reinforcement Learning. In 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), p. to appear.
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  • Basso, L., Ren, Z., and Nejdl, W. (2023)Efficient ECG-Based Atrial Fibrillation Detection via Parameterised Hypercomplex Neural Networks. In 2023 31st European Signal Processing Conference (EUSIPCO), pp. 1375–1379.
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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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  • Papadakis, E., Baryannis, G., Batsakis, S., Adamou, M., Huang, Z., and Antoniou, G. (2023)ADHD-KG: A Knowledge Graph of Attention Deficit Hyperactivity Disorder, Health Information Science and Systems.
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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, CoRR abs/2307.15933.
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  • Rosenhahn, B., and Osborne, T. (2023)Monte Carlo Graph Search for Quantum Circuit Optimization (Accepted), Physical Review A.
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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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  • Rumberg, L., Gebauer, C., Ehlert, H., Wallbaum, M., L{ü}dtke, U., and Ostermann, J. (2023)Uncertainty Estimation for Connectionist Temporal Classification Based Automatic Speech Recognition. In Accepted to Interspeech 2023.
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  • Ganguly, N., Fazlija, D., Badar, M., Fisichella, M., Sikdar, S., Schrader, J., Wallat, J., Rudra, K., Koubarakis, M., Patro, G. K., Amri, W. Z. E., and Nejdl, W. (2023)A Review of the Role of Causality in Developing Trustworthy AI Systems.
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  • Auer, S., Barone, D. A. C., Bartz, C., Cortes, E. G., Jaradeh, M. Y., Karras, O., Koubarakis, M., Mouromtsev, D., Pliukhin, D., Radyush, D., Shilin, I., Stocker, M., and Tsalapati, E. (2023, March)SciQA benchmark: Dataset and {RDF} dump (Version 5), Zenodo.
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  • Jaradeh, M. Y., Singh, K., Stocker, M., Both, A., and Auer, S. (2023)Information extraction pipelines for knowledge graphs, Knowl. Inf. Syst. 65, 1989–2016.
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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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  • Schier, M., Reinders, C., and Rosenhahn, B. (2023)Deep Reinforcement Learning for Autonomous Driving Using High-Level Heterogeneous Graph Representations. In International Conference on Robotics and Automation (ICRA), p. to appear.
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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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  • Chang, Y., Ren, Z., Nguyen, T. T., Qian, K., and Schuller, B. W. (2023)Knowledge transfer for on-device speech emotion recognition with neural structured learning. In ICASSP.
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  • Kuhnke, F. (2023)Unsupervised Domain Adaptation for Real-World Head Pose Estimation from Synthetic Data 144.
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  • Liao, W., Lan, C., Yang, M. Y., Zeng, W., and Rosenhahn, B. (2021)Target-Tailored Source-Transformation for Scene Graph Generation. In In CVPR Workshop on Multi-Sensor Fusion for Dynamic Scene Understanding.
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  • Mukherjee, R., Naik, A., Poddar, S., Dasgupta, S., and Ganguly, N. (2021)Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach. In SIGIR 2021.
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  • Wehrbein, T., Rudolph, M., Rosenhahn, B., and Wandt, B. (2021)Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows. In International Conference on Computer Vision (ICCV).
    URLBibTeXEndNoteBibSonomy
  • Kuhnke, F., Ihler, S., and Ostermann, J. (2021)Relative Pose Consistency for Semi-Supervised Head Pose Estimation. In 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021).
    BibTeXEndNoteBibSonomy
  • Gritzner, D., and Ostermann, J. (2021)Minimizing Manual Labeling Effort for The Semantic Segmentation of Aerial Images. In 2021 IEEE Statistical Signal Processing Workshop (SSP), pp. 81–85.
    BibTeXEndNoteBibSonomy
  • Schubert, F., Eimer, T., Rosenhahn, B., and Lindauer, M. (2021)Automatic Risk Adaptation in Distributional Reinforcement Learning. In Arxiv Preprint.
    URLBibTeXEndNoteBibSonomy
  • Schubert, F., Awiszus, M., and Rosenhahn, B. (2021)TOAD-GAN: a Flexible Framework for Few-Shot Level Generation in Token-Based Games, IEEE Transactions on Games.
    URLBibTeXEndNoteBibSonomy
  • Hutter, F., Fuks, L., Lindauer, M., and Awad, N. (2021)Method, device and computer program for producing a strategy for a robot.
    URLBibTeXEndNoteBibSonomy
  • Rudolph, M., Wandt, B., and Rosenhahn, B. (2021)Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows. In Winter Conference on Applications of Computer Vision (WACV).
    URLBibTeXEndNoteBibSonomy
  • Kellermann, C., and Ostermann, J. (2021)Estimation of unknown system states based on an adaptive neural network and Kalman filter, Procedia CIRP 99, 656–661.
    BibTeXEndNoteBibSonomy
  • Dockhorn, A., and Kruse, R. (2021)Fuzzy Modeling in Game AI, Journal of Pure and Applied Mathematics 12, 54–68.
    URLBibTeXEndNoteBibSonomy
  • 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).
    URLBibTeXEndNoteBibSonomy
  • Zhao, B., van der Aa, H., Nguyen, T. T., Nguyen, Q. V. H., and Weidlich, M. (2021){EIRES}: Efficient Integration of Remote Data in Event Stream Processing. In Proceedings of the 2021 International Conference on Management of Data, {ACM}.
    AbstractURLBibTeXEndNoteBibSonomy
  • Ilyas, Z., Sharif, N., Schousboe, J. T., Lewis, J. R., Suter, D., and Gilani, S. Z. (2021)GuideNet: Learning Inter- Vertebral Guides in DXA Lateral Spine Images. In 2021 Digital Image Computing: Techniques and Applications (DICTA), pp. 01–07.
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  • Chouvarine, P., Anti{{{\’c}}}, {\v{Z}}eljko, Lentes, J., Schröder, C., Alten, J., Brüggemann, M., de Santa Pau, E. C., Illig, T., Laguna, T., Schewe, D., Stanulla, M., Tang, M., Zimmermann, M., Schrappe, M., Schlegelberger, B., Cario, G., and Bergmann, A. K. (2021)Transcriptional and Mutational Profiling of B-Other Acute Lymphoblastic Leukemia for Improved Diagnostics, Cancers, {MDPI} {AG} 13, 5653.
    URLBibTeXEndNoteBibSonomy
  • Dockhorn, A., Hurtado-Grueso, J., Jeurissen, D., Xu, L., and Perez-Liebana, D. (2021)Portfolio Search and Optimization for General Strategy Game-Playing. In 2021 IEEE Congress on Evolutionary Computation (CEC), pp. 2085–2092.
    URLBibTeXEndNoteBibSonomy
  • Dockhorn, A., and Kruse, R. (2021)Modelheuristics for efficient forward model learning, At-Automatisierungstechnik.
    URLBibTeXEndNoteBibSonomy
  • Kaushal, A., Saha, A., and Ganguly, N. (2021)tWT–WT: A Dataset to Assert the Role of Target Entities for Detecting Stance of Tweets, pp. 3879–3889.
    AbstractBibTeXEndNoteBibSonomy
  • Adhisantoso, Y. G. (2021)Cross-check CE3 Extension of Contact Matrix Compressor m58074, ISO/IEC JTC 1/SC 29/WG 8.
    BibTeXEndNoteBibSonomy
  • Eimer, T., Biedenkapp, A., Reimer, M., Adriaensen, S., Hutter, F., and Lindauer, M. (2021)DACBench: A Benchmark Library for Dynamic Algorithm Configuration. In Proceedings of the international joint conference on artificial intelligence (IJCAI).
    URLBibTeXEndNoteBibSonomy
  • Booth, A., Reed, A. B., Ponzo, S., Yassaee, A., Aral, M., Plans, D., Labrique, A., and Mohan, D. (2021)Population risk factors for severe disease and mortality in COVID-19: A global systematic review and meta-analysis, PLOS ONE, Public Library of Science 16, 1–30.
    AbstractURLBibTeXEndNoteBibSonomy

2020

  • 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).
    URLBibTeXEndNoteBibSonomy
  • 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].
    URLBibTeXEndNoteBibSonomy
  • 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.
    BibTeXEndNoteBibSonomy
  • 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.
    BibTeXEndNoteBibSonomy
  • Zimmer, L., Lindauer, M., and Hutter, F. (2020)Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL. In arxiv:2006.13799[cs.LG].
    URLBibTeXEndNoteBibSonomy
  • Meuel, H., and Ostermann, J. (2020)Analysis of Affine Motion-Compensated Prediction in Video Coding, IEEE Transactions on Image Processing 29, 7359–7374.
    URLBibTeXEndNoteBibSonomy
  • Benjak, M., and Ostermann, J. (2020)Applications suitable for AI-based data compression, 1st Meeting of ISO/IEC JTC 1/SC 29/WG 2 Document m55424.
    BibTeXEndNoteBibSonomy
  • 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.
    BibTeXEndNoteBibSonomy
  • 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).
    URLBibTeXEndNoteBibSonomy
  • 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
  • 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.
    AbstractURLBibTeXEndNoteBibSonomy
  • 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).
    URLBibTeXEndNoteBibSonomy
  • 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.
    URLBibTeXEndNoteBibSonomy
  • 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.
    URLBibTeXEndNoteBibSonomy
  • 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.
    BibTeXEndNoteBibSonomy
  • Perez-Liebana, D., Dockhorn, A., Grueso, J. H., and Jeurissen, D. (2020)The Design Of “Stratega”: A General Strategy Games Framework, arXiv:2009.05643 1–7.
    URLBibTeXEndNoteBibSonomy
  • Hu, T., Iosifidis, V., Wentong, L., Hang, Z., Yang, M. Y., Ntoutsi, E., and Rosenhahn, B. (2020)FairNN - Conjoint Learning of Fair Representations for Fair Decisions. In 23rd International Conference on Discovery Science.
    BibTeXEndNoteBibSonomy
  • 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).
    BibTeXEndNoteBibSonomy
  • Sen, H., Wentong, L., Rezazadegan Tavakoli, H., Ying Yang, M., Rosenhahn, B., and Pugeault, N. (2020)Image Captioning through Image Transformer. In .
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  • Luo, C., Zhao, P., Chen, C., Qiao, B., Du, C., Zhang, H., Wu, W., Cai, S., He, B., Rajmohan, S., and Lin, Q. (2020)PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector. In , pp. 8784–8792.
    AbstractURLBibTeXEndNoteBibSonomy
  • Ostermann, J., and Hinrichs, R. (2020)Links und rechts verbinden, Unimagazin.
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  • Liu, Z., Pavao, A., Xu, Z., Escalera, S., Ferreira, F., Guyon, I., Hong, S., Hutter, F., Ji, R., Jacques, J., Li, G., Lindauer, M., Luo, Z., Madadi, M., Nierhoff, T., Niu, K., Pan, C., Stoll, D., Treguer, S., Wang, J., Wang, P., Wu, C., Xiong, Y., Zela, A., and Zhang, Y. (2020)Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019. In HAL.
    URLBibTeXEndNoteBibSonomy
  • {Fayyazifar}, N., {Ahderom}, S., {Suter}, D., {Maiorana}, A., and {Dwivedi}, G. (2020)Impact of Neural Architecture Design on Cardiac Abnormality Classification Using 12-lead ECG Signals. In 2020 Computing in Cardiology, pp. 1–4.
    BibTeXEndNoteBibSonomy
  • Zell, P., Rosenhahn, B., and Wandt, B. (2020)Weakly-supervised Learning of Human Dynamics. In European Conference on Computer Vision (ECCV).
    URLBibTeXEndNoteBibSonomy
  • S{ü}dbeck, S., Krause, T., and Ostermann, J. (2020)Non-Line-of-Sight Time-Difference-of-Arrival Localization with Explicit Inclusion of Geometry Information in a Simple Diffraction Scenario. In IEEE MMSP 2020 - IEEE International Workshop on Multimedia Signal Processing.
    BibTeXEndNoteBibSonomy
  • Eggensperger, K., Haase, K., M{ü}ller, P., Lindauer, M., and Hutter, F. (2020)Neural Model-based Optimization with Right-Censored Observations. In CoRR.
    URLBibTeXEndNoteBibSonomy
  • Kluger, F., Ackermann, H., Yang, M. Y., and Rosenhahn, B. (2020)Temporally Consistent Horizon Lines. In International Conference on Robotics and Automation (ICRA).
    URLBibTeXEndNoteBibSonomy
  • 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).
    URLBibTeXEndNoteBibSonomy
  • 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.
    URLBibTeXEndNoteBibSonomy
  • Gritzner, D., and Ostermann, J. (2020)USING SEMANTICALLY PAIRED IMAGES TO IMPROVE DOMAIN ADAPTATION FOR THE SEMANTIC SEGMENTATION OF AERIAL IMAGES, ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences 483–492.
    URLBibTeXEndNoteBibSonomy
  • 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.
    URLBibTeXEndNoteBibSonomy
  • Scheffner, I., Gietzelt, M., Abeling, T., Marschollek, M., and Gwinner, W. (2020)Patient Survival After Kidney Transplantation: Important Role of Graft-sustaining Factors as Determined by Predictive Modeling Using Random Survival Forest Analysis, Transplantation 104, 1095–1107.
    AbstractBibTeXEndNoteBibSonomy
  • 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.
    URLBibTeXEndNoteBibSonomy
  • 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.
    BibTeXEndNoteBibSonomy
  • 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.
    URLBibTeXEndNoteBibSonomy
  • Awiszus, M., Schubert, F., and Rosenhahn, B. (2020, October)TOAD-GAN: Coherent Style Level Generation from a Single Example.
    AbstractURLBibTeXEndNoteBibSonomy
  • Dockhorn, A. (2020)Dissertation: Prediction-based Search for Autonomous Game-Playing, Otto von Guericke University Magdeburg 1–231.
    URLBibTeXEndNoteBibSonomy
  • J{ü}rgens, H., Hinrichs, R., and Ostermann, J. (2020)Recognizing Guitar Effects and Their Parameter Settings. In Proceedings of the DAFx2020 (Vol I).
    BibTeXEndNoteBibSonomy
  • 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.
    BibTeXEndNoteBibSonomy
  • 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.
    URLBibTeXEndNoteBibSonomy
  • Gebauer, C., and Bennewitz, M. (2020)Penalized Bootstrapping for Reinforcement Learning in Robot Control. In International Conference on Machine Learning and Applications (CMLA).
    BibTeXEndNoteBibSonomy
  • 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.
    URLBibTeXEndNoteBibSonomy
  • 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.
    URLBibTeXEndNoteBibSonomy
  • 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).
    BibTeXEndNoteBibSonomy
  • 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.
    BibTeXEndNoteBibSonomy
  • Dockhorn, A., and Kruse, R. (2020)Forward Model Learning for Motion Control Tasks. In 2020 IEEE 10th International Conference on Intelligent Systems (IS), pp. 1–5.
    URLBibTeXEndNoteBibSonomy
  • Hu, T., Iosifidis, V., Liao, W., Zhang, H., Yang, M. Y., Ntoutsi, E., and Rosenhahn, B. (2020)FairNN - Conjoint Learning of Fair Representations for Fair Decisions.. In Discovery Science, pp. 581–595, Springer International Publishing.
    URLBibTeXEndNoteBibSonomy
  • Minh, C. N. D., Gilani, S. Z., Islam, S., and Suter, D. (2020)Learning Affordance Segmentation: An Investigative Study. In DICTA2020.
    BibTeXEndNoteBibSonomy
  • 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.
    URLBibTeXEndNoteBibSonomy
  • 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.
    URLBibTeXEndNoteBibSonomy
  • 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.
    URLBibTeXEndNoteBibSonomy
  • Dockhorn, A. (2020)Vorhersagebasierte Suche f{ü}r autonomes Spielen, pp. 69–78, GI.
    URLBibTeXEndNoteBibSonomy
  • Cheng, H., Liao, W., Ying, Y. M., Sester, M., and Rosenhahn, B. (2020)MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed Traffic. In 23rd International Conference on Intelligent Transportation Systems (ITSC).
    BibTeXEndNoteBibSonomy
  • Ackermann, H., Meuel, H., Rosenhahn, B., and Ostermann, J. (2020)Verfahren und Vorrichtung zum Aufnehmen eines Digitalbildes 1–12.
    URLBibTeXEndNoteBibSonomy
  • Cong, Y., Ackermann, H., Liao, W., Yang, M. Y., and Rosenhahn, B. (2020)NODIS: Neural Ordinary Differential Scene Understanding. In European Conference on Computer Vision (ECCV).
    URLBibTeXEndNoteBibSonomy
  • Sen, H., Wentong, L., Tavakoli, H. R., Yang, M. Y., Rosenhahn, B., and Pugeault, N. (2020)Image Captioning through Image Transformer. In Asian Conference on Computer Vision (ACCV).
    BibTeXEndNoteBibSonomy
  • Rudolph, M., Wandt, B., and Rosenhahn, B. (2020, August)Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows..
    AbstractURLBibTeXEndNoteBibSonomy
  • Souza, A., Nardi, L., Oliveira, L., Olukotun, K., Lindauer, M., and Hutter, F. (2020)Prior-guided Bayesian Optimization. In arxiv:2006.14608[cs.LG].
    URLBibTeXEndNoteBibSonomy
  • Krause, T., and Ostermann, J. (2020)Damage Detection for Wind Turbine Rotor Blades Using Airborne Sound, Structural Control and Health Monitoring.
    URLBibTeXEndNoteBibSonomy
  • Kluger, F., Brachmann, E., Ackermann, H., Rother, C., Yang, M. Y., and Rosenhahn, B. (2020)CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus. In Computer Vision and Pattern Recognition (CVPR).
    URLBibTeXEndNoteBibSonomy
  • 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.
    BibTeXEndNoteBibSonomy
  • 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.
    BibTeXEndNoteBibSonomy
  • Speck, D., Biedenkapp, A., Hutter, F., Mattm{ü}ller, R., and Lindauer, M. (2020)Learning Heuristic Selection with Dynamic Algorithm Configuration. In Proceedings of international workshop on Bridging the Gap Between AI Planning and Reinforcement Learning at ICAPS.
    URLBibTeXEndNoteBibSonomy
  • 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, pp. 174–183, Association for Computational Linguistics, Online.
    AbstractURLBibTeXEndNoteBibSonomy

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.
    BibTeXEndNoteBibSonomy
  • 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.
    BibTeXEndNoteBibSonomy
  • Dockhorn, A., and Mostaghim, S. (2019)Introducing the Hearthstone-AI Competition, arXiv:1906.04238 1–4.
    URLBibTeXEndNoteBibSonomy
  • 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.
    URLBibTeXEndNoteBibSonomy
  • 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.
    BibTeXEndNoteBibSonomy
  • 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).
    URLBibTeXEndNoteBibSonomy
  • 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.
    URLBibTeXEndNoteBibSonomy

2018

  • 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.
    URLBibTeXEndNoteBibSonomy
  • 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.
    URLBibTeXEndNoteBibSonomy
  • 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.
    URLBibTeXEndNoteBibSonomy
  • 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.
    URLBibTeXEndNoteBibSonomy
  • 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.
    BibTeXEndNoteBibSonomy
  • 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.
    BibTeXEndNoteBibSonomy
  • 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.
    URLBibTeXEndNoteBibSonomy

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.
    URLBibTeXEndNoteBibSonomy
  • 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.
    URLBibTeXEndNoteBibSonomy

2016

  • 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.
    BibTeXEndNoteBibSonomy
  • Dockhorn, A., Braune, C., and Kruse, R. (2016)Variable density based clustering. In 2016 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1–8.
    URLBibTeXEndNoteBibSonomy

2015

  • 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.
    BibTeXEndNoteBibSonomy
  • 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.
    BibTeXEndNoteBibSonomy
  • 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.
    BibTeXEndNoteBibSonomy
  • 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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  • 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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  • 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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  • Dockhorn, A. (2015)Master Thesis: Hierarchical Extensions and Cluster Validation Techniques for DBSCAN, Otto von Guericke University Magdeburg 1–80.
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2014

  • 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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  • 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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  • 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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