10 Publikationen
2024 | Konferenzbeitrag | FH-PUB-ID: 4644
Klein, Lukas, Christoph Ostrau, Michael Thies, Wolfram Schenck, and Ulrich Rückert. “Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data.” In Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings, edited by Dario Salvi, Pieter Van Gorp, and Syed Ahmar Shah, 423–37. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-59717-6_27.
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| DOI
2024 | Artikel | FH-PUB-ID: 4626 | 
Pottharst, Bill, Alexander Neumann, Christoph Ostrau, and Udo Seelmeyer. “Bewältigung des Fachkräftemangels durch technologische Innovation?” Sozial Extra, 2024. https://doi.org/10.1007/s12054-024-00694-9.
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2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4639 |
Herzig, Tim Christian, Christian Marschner, Stephan Held, Thorsten Jungeblut, Justin Baudisch, Christoph Ostrau, Michael Klemm, Andreas Uphaus, Rena Amelung, and Annette Nauerth. “KI-gestütztes Monitoring zur Unterstützung in der häuslichen Pflege (KIMUP) .” In Kongress KI@HSBI2023 Solutions im Fokus - Posterbeiträge , edited by Institute for Data Science Solutions, 1:9–10. Kongress KI@HSBI2023 Solutions im Fokus - Posterbeiträge . Bielefeld: Hochschule Bielefeld, 2024. https://doi.org/10.60802/sidas.2024.1 .
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2022 | Artikel | FH-PUB-ID: 2639 |
Ostrau, Christoph, Christian Klarhorst, Michael Thies, and Ulrich Rückert. “Benchmarking Neuromorphic Hardware and Its Energy Expenditure.” Frontiers in Neuroscience 16 (2022). https://doi.org/10.3389/fnins.2022.873935.
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2022 | Dissertation | FH-PUB-ID: 2640 |
Ostrau, Christoph. Energy and Performance Estimation for Neuromorphic Systems. Universität Bielefeld, 2022. https://doi.org/10.4119/UNIBI/2962759.
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2020 | Konferenzbeitrag | FH-PUB-ID: 2668
Ostrau, Christoph, Jonas Homburg, Christian Klarhorst, Michael Thies, and Ulrich Rückert. “Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware.” In Artificial Neural Networks and Machine Learning – ICANN 2020. 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part II, edited by Igor Farkaš, Paolo Masulli, and Stefan Wermter, 610–21. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2020. https://doi.org/10.1007/978-3-030-61616-8_49.
HSBI-PUB
| DOI
2020 | Konferenzbeitrag | FH-PUB-ID: 2642
Ostrau, Christoph, Christian Klarhorst, Michael Thies, and Ulrich Rückert. “Benchmarking of Neuromorphic Hardware Systems.” In Proceedings of the Neuro-Inspired Computational Elements Workshop, 1–4. New York, NY, USA: ACM, 2020. https://doi.org/10.1145/3381755.3381772.
HSBI-PUB
| DOI
2019 | Kurzbeitrag Konferenz | FH-PUB-ID: 2669 |
Ostrau, Christoph, Christian Klarhorst, Michael Thies, and Ulrich Rückert. “Benchmarking and Characterization of Event-Based Neuromorphic Hardware ,” 2019.
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2019 | Konferenzbeitrag | FH-PUB-ID: 2643
Ostrau, Christoph, Christian Klarhorst, Michael Thies, and Ulrich Ruckert. “Comparing Neuromorphic Systems by Solving Sudoku Problems.” In 2019 International Conference on High Performance Computing & Simulation (HPCS), 521–27. IEEE, 2019. https://doi.org/10.1109/HPCS48598.2019.9188207.
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2017 | Artikel | FH-PUB-ID: 2644 |
Stöckel, Andreas, Christoph Jenzen, Michael Thies, and Ulrich Rückert. “Binary Associative Memories as a Benchmark for Spiking Neuromorphic Hardware.” Frontiers in Computational Neuroscience 11 (2017). https://doi.org/10.3389/fncom.2017.00071.
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10 Publikationen
2024 | Konferenzbeitrag | FH-PUB-ID: 4644
Klein, Lukas, Christoph Ostrau, Michael Thies, Wolfram Schenck, and Ulrich Rückert. “Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data.” In Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings, edited by Dario Salvi, Pieter Van Gorp, and Syed Ahmar Shah, 423–37. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-59717-6_27.
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 4626 |
Pottharst, Bill, Alexander Neumann, Christoph Ostrau, and Udo Seelmeyer. “Bewältigung des Fachkräftemangels durch technologische Innovation?” Sozial Extra, 2024. https://doi.org/10.1007/s12054-024-00694-9.
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4639 |
Herzig, Tim Christian, Christian Marschner, Stephan Held, Thorsten Jungeblut, Justin Baudisch, Christoph Ostrau, Michael Klemm, Andreas Uphaus, Rena Amelung, and Annette Nauerth. “KI-gestütztes Monitoring zur Unterstützung in der häuslichen Pflege (KIMUP) .” In Kongress KI@HSBI2023 Solutions im Fokus - Posterbeiträge , edited by Institute for Data Science Solutions, 1:9–10. Kongress KI@HSBI2023 Solutions im Fokus - Posterbeiträge . Bielefeld: Hochschule Bielefeld, 2024. https://doi.org/10.60802/sidas.2024.1 .
HSBI-PUB
| DOI
| Download (ext.)
2022 | Artikel | FH-PUB-ID: 2639 |
Ostrau, Christoph, Christian Klarhorst, Michael Thies, and Ulrich Rückert. “Benchmarking Neuromorphic Hardware and Its Energy Expenditure.” Frontiers in Neuroscience 16 (2022). https://doi.org/10.3389/fnins.2022.873935.
HSBI-PUB
| DOI
| Download (ext.)
2022 | Dissertation | FH-PUB-ID: 2640 |
Ostrau, Christoph. Energy and Performance Estimation for Neuromorphic Systems. Universität Bielefeld, 2022. https://doi.org/10.4119/UNIBI/2962759.
HSBI-PUB
| DOI
| Download (ext.)
2020 | Konferenzbeitrag | FH-PUB-ID: 2668
Ostrau, Christoph, Jonas Homburg, Christian Klarhorst, Michael Thies, and Ulrich Rückert. “Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware.” In Artificial Neural Networks and Machine Learning – ICANN 2020. 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part II, edited by Igor Farkaš, Paolo Masulli, and Stefan Wermter, 610–21. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2020. https://doi.org/10.1007/978-3-030-61616-8_49.
HSBI-PUB
| DOI
2020 | Konferenzbeitrag | FH-PUB-ID: 2642
Ostrau, Christoph, Christian Klarhorst, Michael Thies, and Ulrich Rückert. “Benchmarking of Neuromorphic Hardware Systems.” In Proceedings of the Neuro-Inspired Computational Elements Workshop, 1–4. New York, NY, USA: ACM, 2020. https://doi.org/10.1145/3381755.3381772.
HSBI-PUB
| DOI
2019 | Kurzbeitrag Konferenz | FH-PUB-ID: 2669 |
Ostrau, Christoph, Christian Klarhorst, Michael Thies, and Ulrich Rückert. “Benchmarking and Characterization of Event-Based Neuromorphic Hardware ,” 2019.
HSBI-PUB
| Download (ext.)
2019 | Konferenzbeitrag | FH-PUB-ID: 2643
Ostrau, Christoph, Christian Klarhorst, Michael Thies, and Ulrich Ruckert. “Comparing Neuromorphic Systems by Solving Sudoku Problems.” In 2019 International Conference on High Performance Computing & Simulation (HPCS), 521–27. IEEE, 2019. https://doi.org/10.1109/HPCS48598.2019.9188207.
HSBI-PUB
| DOI
2017 | Artikel | FH-PUB-ID: 2644 |
Stöckel, Andreas, Christoph Jenzen, Michael Thies, and Ulrich Rückert. “Binary Associative Memories as a Benchmark for Spiking Neuromorphic Hardware.” Frontiers in Computational Neuroscience 11 (2017). https://doi.org/10.3389/fncom.2017.00071.
HSBI-PUB
| DOI
| Download (ext.)