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562 Publikationen
2020 | Konferenzbeitrag | PUB-ID: 2948587
P. Hemsen, et al., “Platform-independent Reputation and Qualification System for Crowdwork”, 2nd Crowdworking Symposium, 2020.
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2942322
C. Ostrau, et al., “Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware”, Artificial Neural Networks and Machine Learning – ICANN 2020, Springer International Publishing, 2020.
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| Dateien verfügbar | DOI | arXiv
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941831
C. Ostrau, et al., “Benchmarking of Neuromorphic Hardware Systems”, Neuro-inspired Computational Elements Workshop (NICE ’20), March 17–20, 2020, Heidelberg, Germany, International Conference Proceeding Series (ICPS), Association for Computing Machinery (ACM), 2020.
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| Dateien verfügbar | DOI
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2943046 
C. Lian Sang, et al., “Identification of NLOS and Multi-path Conditions in UWB Localization using Machine Learning Methods”, Applied Sciences, vol. 10, 2020, : 3980.
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| PDF | DOI | Download (ext.) | WoS
2020 | Datenpublikation | PUB-ID: 2943719
C. Lian Sang, et al., Supplementary Research Data for the Paper entitled Identification of NLOS and Multi-path Conditions in UWB Localization using Machine Learning Methods, Bielefeld University, 2020.
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| Dateien verfügbar | DOI
2020 | Konferenzbeitrag | Angenommen | PUB-ID: 2943500
M. Schilling, K. Konen, and T. Korthals, “Modular Deep Reinforcement Learning for Emergent Locomotion on a Six-Legged Robot”, Presented at the 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), New York City, Accepted.
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2941646
S. Pilz, et al., “Accelerating Binary String Comparisons with a Scalable, Streaming-Based System Architecture Based on FPGAs”, Algorithms, vol. 13, 2020, : 47.
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| PDF | DOI | Download (ext.) | WoS
2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2941207
C. Ostrau, et al., “Comparing Neuromorphic Systems by Solving Sudoku Problems”, Conference Proceedings: 2019 International Conference on High Performance Computing & Simulation (HPCS), Piscataway, NJ: IEEE, Accepted.
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| Dateien verfügbar | DOI
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2937505
C. Lian Sang, et al., “A Comparative Study of UWB-based True-Range Positioning Algorithms using Experimental Data ”, Presented at the IEEE 16th Workshop on Positioning, Navigation and Communications (WPNC'19), Bremen, Germany, IEEE, 2019.
PUB | DOI | Download (ext.)
2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2933490
C. Lian Sang, et al., “Numerical and Experimental Evaluation of Error Estimation for Two-Way Ranging Methods”, Sensors, vol. 19, 2019, : 616.
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| PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
2019 | Datenpublikation | PUB-ID: 2939390
C. Lian Sang, et al., Supplementary Experimental Data for the Paper entitled Numerical and Experimental Evaluation of Error Estimation for Two-Way Ranging Methods, Bielefeld University, 2019.
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| Dateien verfügbar | DOI
2019 | Kurzbeitrag Konferenz / Poster | Angenommen | PUB-ID: 2935328
C. Ostrau, et al., “Benchmarking and Characterization of event-based Neuromorphic Hardware”, Presented at the FastPath 2019 - International Workshop on Performance Analysis of Machine Learning Systems, Madison, Wisconsin, USA, Accepted.
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2019 | Zeitschriftenaufsatz | PUB-ID: 2937519
T. Korthals, et al., “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, 2019, pp. 1-2.
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2019 | Zeitschriftenaufsatz | PUB-ID: 2937517
K. Konen, et al., “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, 2019, pp. 1-3.
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2019 | Preprint | Veröffentlicht | PUB-ID: 2938837
T. Korthals, M. Schilling, and J. Leitner, “A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing”, 2019.
PUB | Download (ext.) | arXiv
2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2934957
T. Korthals, et al., “Multi-Modal Generative Models for Learning Epistemic Active Sensing”, 2019 IEEE International Conference on Robotics and Automation, Piscataway, NJ: IEEE, Accepted.
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