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562 Publikationen

2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2942756 OA
Meyer, H.G., Klimeck, D., Paskarbeit, J., Rückert, U., Egelhaaf, M., Porrmann, M. & Schneider, A. (2020). Resource-efficient bio-inspired visual processing on the hexapod walking robot HECTOR. PloS one, 15(4). Public Library of Science (PLoS). doi:10.1371/journal.pone.0230620.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
2020 | Konferenzbeitrag | PUB-ID: 2948587
Hemsen, P., Hesse, M., Löken, N. & Nouri, Z. (2020). Platform-independent Reputation and Qualification System for Crowdwork. 2nd Crowdworking Symposium. Gehalten auf der 2nd Crowdworking Symposium. Ability-Motivation-Opportunities for Digital Work.
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2942322
Ostrau, C., Homburg, J.D., Klarhorst, C., Thies, M. & Rückert, U. (2020). Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware. Artificial Neural Networks and Machine Learning – ICANN 2020. Gehalten auf der ICANN 2020, Springer International Publishing. doi:10.1007/978-3-030-61616-8_49.
PUB | Dateien verfügbar | DOI | arXiv
 
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941831
Ostrau, C., Klarhorst, C., Thies, M. & Rückert, U. (2020). Benchmarking of Neuromorphic Hardware Systems (International Conference Proceeding Series (ICPS). Neuro-inspired Computational Elements Workshop (NICE ’20), March 17–20, 2020, Heidelberg, Germany. Gehalten auf der 8th Annual Neuro-Inspired Computational Elements (NICE) Workshop, Association for Computing Machinery (ACM). doi:10.1145/3381755.3381772.
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2020 | Datenpublikation | PUB-ID: 2943719 OA
Lian Sang, C., Steinhagen, B., Homburg, J.D., Adams, M., Hesse, M. & Rückert, U. (2020). Supplementary Research Data for the Paper entitled Identification of NLOS and Multi-path Conditions in UWB Localization using Machine Learning Methods. Bielefeld University. doi:10.4119/unibi/2943719.
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2943046 OA
Lian Sang, C., Steinhagen, B., Homburg, J.D., Adams, M., Hesse, M. & Rückert, U. (2020). Identification of NLOS and Multi-path Conditions in UWB Localization using Machine Learning Methods. Applied Sciences, 10(11): 3980. MDPI. doi:10.3390/app10113980.
PUB | PDF | DOI | Download (ext.) | WoS
 
2020 | Konferenzbeitrag | Angenommen | PUB-ID: 2943500
Schilling, M., Konen, K. & Korthals, T. (Accepted). Modular Deep Reinforcement Learning for Emergent Locomotion on a Six-Legged Robot. Gehalten auf der 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob).
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2941646 OA
Pilz, S., Porrmann, F., Kaiser, M., Hagemeyer, J., Hogan, J.M. & Rückert, U. (2020). Accelerating Binary String Comparisons with a Scalable, Streaming-Based System Architecture Based on FPGAs. Algorithms, 13(2): 47. MDPI AG. doi:10.3390/a13020047.
PUB | PDF | DOI | Download (ext.) | WoS
 
2019 | Report | Veröffentlicht | PUB-ID: 2936990 OA
Giard, N., Hemsen, P., Hesse, M., Löken, N., Nouri, Z., Reddehase, J., Reimann, M., Schlicher, K. & Schulte, J. (2019). Technical Report. Interdisziplinäre Befragung von Crowdworkern. Bielefeld: Forschungsschwerpunkt Digitale Zukunft (Universität Bielefeld / Universität Paderborn). doi:10.4119/unibi/2936990.
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2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2941207
Ostrau, C., Klarhorst, C., Thies, M. & Rückert, U. (Accepted). Comparing Neuromorphic Systems by Solving Sudoku Problems. Conference Proceedings: 2019 International Conference on High Performance Computing & Simulation (HPCS). Gehalten auf der 2019 International Conference on High Performance Computing & Simulation (HPCS), Piscataway, NJ: IEEE. doi:10.1109/HPCS48598.2019.9188207.
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2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2937505
Lian Sang, C., Adams, M., Hesse, M., Hörmann, T., Korthals, T. & Rückert, U. (2019). A Comparative Study of UWB-based True-Range Positioning Algorithms using Experimental Data . Gehalten auf der IEEE 16th Workshop on Positioning, Navigation and Communications (WPNC'19), IEEE. doi:10.1109/WPNC47567.2019.8970249.
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2933490 OA
Lian Sang, C., Adams, M., Hörmann, T., Hesse, M., Porrmann, M. & Rückert, U. (2019). Numerical and Experimental Evaluation of Error Estimation for Two-Way Ranging Methods. Sensors, 19(3): 616. MDPI. doi:10.3390/s19030616.
PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 
2019 | Datenpublikation | PUB-ID: 2939390 OA
Lian Sang, C., Adams, M., Hörmann, T., Hesse, M., Porrmann, M. & Rückert, U. (2019). Supplementary Experimental Data for the Paper entitled Numerical and Experimental Evaluation of Error Estimation for Two-Way Ranging Methods. Bielefeld University. doi:10.4119/unibi/2939390.
PUB | Dateien verfügbar | DOI
 
2019 | Kurzbeitrag Konferenz / Poster | Angenommen | PUB-ID: 2935328 OA
Ostrau, C., Klarhorst, C., Thies, M. & Rückert, U. (Accepted). Benchmarking and Characterization of event-based Neuromorphic Hardware. Gehalten auf der FastPath 2019 - International Workshop on Performance Analysis of Machine Learning Systems.
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2019 | Zeitschriftenaufsatz | PUB-ID: 2937519 OA
Korthals, T., Melnik, A., Hesse, M. & Leitner, J. (2019). Multisensory Assisted In-hand Manipulation of Objects with a Dexterous Hand. 2019 IEEE International Conference on Robotics and Automation Workshop on Integrating Vision and Touch for Multimodal and Cross-modal Perception, (ViTac) 2019, Montreal, CA, May 20-25, 2019, 1-2.
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2019 | Zeitschriftenaufsatz | PUB-ID: 2937517 OA
Konen, K., Korthals, T., Melnik, A. & Schilling, M. (2019). Biologically-Inspired Deep Reinforcement Learning of Modular Control for a Six-Legged Robot. 2019 IEEE International Conference on Robotics and Automation Workshop on Learning Legged Locomotion Workshop, (ICRA) 2019, Montreal, CA, May 20-25, 2019, 1-3.
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2019 | Bielefelder E-Dissertation | PUB-ID: 2939716 OA
Hörmann, T. (2019). Design and Application of Wireless Body Sensors. Bielefeld: Universität Bielefeld.
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2019 | Preprint | Veröffentlicht | PUB-ID: 2938837
Korthals, T., Schilling, M. & Leitner, J. (2019). A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing.
PUB | Download (ext.) | arXiv
 
2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2934957
Korthals, T., Rudolph, D., Leitner, J., Hesse, M. & Rückert, U. (Accepted). Multi-Modal Generative Models for Learning Epistemic Active Sensing. 2019 IEEE International Conference on Robotics and Automation. Gehalten auf der 2019 IEEE International Conference on Robotics and Automation, Piscataway, NJ: IEEE.
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2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2939486
Adams, M., Benda, M., Saboor, A., Krause, A.F., Rezeika, A., Gembler, F., Stawicki, P., Hesse, M., Essig, K., Ben-Salem, S., Islam, Z., Vogelsang, A., Jungeblut, T., Rückert, U. & Volosyak, I. (2019). Towards an SSVEP-BCI Controlled Smart Home. 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC). Gehalten auf der 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), Piscataway, NJ: IEEE. doi:10.1109/smc.2019.8914668.
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