10 Publikationen
2024 | Konferenzbeitrag | FH-PUB-ID: 4644
Klein L, Ostrau C, Thies M, Schenck W, Rückert U. Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data. In: Salvi D, Van Gorp P, Shah SA, eds. Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Cham: Springer Nature Switzerland; 2024:423-437. doi:10.1007/978-3-031-59717-6_27
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 4626 | 
Pottharst B, Neumann A, Ostrau C, Seelmeyer U. Bewältigung des Fachkräftemangels durch technologische Innovation? Sozial Extra. 2024. doi:10.1007/s12054-024-00694-9
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4639 |
Herzig TC, Marschner C, Held S, et al. KI-gestütztes Monitoring zur Unterstützung in der häuslichen Pflege (KIMUP) . In: Institute for Data Science Solutions, ed. Kongress KI@HSBI2023 Solutions im Fokus - Posterbeiträge . Vol 1. Kongress KI@HSBI2023 Solutions im Fokus - Posterbeiträge . Bielefeld: Hochschule Bielefeld; 2024:9-10. doi:10.60802/sidas.2024.1
HSBI-PUB
| DOI
| Download (ext.)
2022 | Artikel | FH-PUB-ID: 2639 |
Ostrau C, Klarhorst C, Thies M, Rückert U. Benchmarking Neuromorphic Hardware and Its Energy Expenditure. Frontiers in Neuroscience. 2022;16. doi:10.3389/fnins.2022.873935
HSBI-PUB
| DOI
| Download (ext.)
2022 | Dissertation | FH-PUB-ID: 2640 |
Ostrau C. Energy and Performance Estimation for Neuromorphic Systems. Universität Bielefeld; 2022. doi:10.4119/UNIBI/2962759
HSBI-PUB
| DOI
| Download (ext.)
2020 | Konferenzbeitrag | FH-PUB-ID: 2668
Ostrau C, Homburg J, Klarhorst C, Thies M, Rückert U. Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware. In: Farkaš I, Masulli P, Wermter S, eds. Artificial Neural Networks and Machine Learning – ICANN 2020. 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part II. Lecture Notes in Computer Science. Cham: Springer International Publishing; 2020:610-621. doi:10.1007/978-3-030-61616-8_49
HSBI-PUB
| DOI
2020 | Konferenzbeitrag | FH-PUB-ID: 2642
Ostrau C, Klarhorst C, Thies M, Rückert U. Benchmarking of Neuromorphic Hardware Systems. In: Proceedings of the Neuro-Inspired Computational Elements Workshop. New York, NY, USA: ACM; 2020:1-4. doi:10.1145/3381755.3381772
HSBI-PUB
| DOI
2019 | Kurzbeitrag Konferenz | FH-PUB-ID: 2669 |
Ostrau C, Klarhorst C, Thies M, Rückert U. Benchmarking and Characterization of event-based Neuromorphic Hardware . In: ; 2019.
HSBI-PUB
| Download (ext.)
2019 | Konferenzbeitrag | FH-PUB-ID: 2643
Ostrau C, Klarhorst C, Thies M, Ruckert U. Comparing Neuromorphic Systems by Solving Sudoku Problems. In: 2019 International Conference on High Performance Computing & Simulation (HPCS). IEEE; 2019:521-527. doi:10.1109/HPCS48598.2019.9188207
HSBI-PUB
| DOI
2017 | Artikel | FH-PUB-ID: 2644 |
Stöckel A, Jenzen C, Thies M, Rückert U. Binary Associative Memories as a Benchmark for Spiking Neuromorphic Hardware. Frontiers in Computational Neuroscience. 2017;11. doi:10.3389/fncom.2017.00071
HSBI-PUB
| DOI
| Download (ext.)
Suche
Publikationen filtern
Darstellung / Sortierung
Export / Einbettung
10 Publikationen
2024 | Konferenzbeitrag | FH-PUB-ID: 4644
Klein L, Ostrau C, Thies M, Schenck W, Rückert U. Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data. In: Salvi D, Van Gorp P, Shah SA, eds. Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Cham: Springer Nature Switzerland; 2024:423-437. doi:10.1007/978-3-031-59717-6_27
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 4626 |
Pottharst B, Neumann A, Ostrau C, Seelmeyer U. Bewältigung des Fachkräftemangels durch technologische Innovation? Sozial Extra. 2024. doi:10.1007/s12054-024-00694-9
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4639 |
Herzig TC, Marschner C, Held S, et al. KI-gestütztes Monitoring zur Unterstützung in der häuslichen Pflege (KIMUP) . In: Institute for Data Science Solutions, ed. Kongress KI@HSBI2023 Solutions im Fokus - Posterbeiträge . Vol 1. Kongress KI@HSBI2023 Solutions im Fokus - Posterbeiträge . Bielefeld: Hochschule Bielefeld; 2024:9-10. doi:10.60802/sidas.2024.1
HSBI-PUB
| DOI
| Download (ext.)
2022 | Artikel | FH-PUB-ID: 2639 |
Ostrau C, Klarhorst C, Thies M, Rückert U. Benchmarking Neuromorphic Hardware and Its Energy Expenditure. Frontiers in Neuroscience. 2022;16. doi:10.3389/fnins.2022.873935
HSBI-PUB
| DOI
| Download (ext.)
2022 | Dissertation | FH-PUB-ID: 2640 |
Ostrau C. Energy and Performance Estimation for Neuromorphic Systems. Universität Bielefeld; 2022. doi:10.4119/UNIBI/2962759
HSBI-PUB
| DOI
| Download (ext.)
2020 | Konferenzbeitrag | FH-PUB-ID: 2668
Ostrau C, Homburg J, Klarhorst C, Thies M, Rückert U. Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware. In: Farkaš I, Masulli P, Wermter S, eds. Artificial Neural Networks and Machine Learning – ICANN 2020. 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part II. Lecture Notes in Computer Science. Cham: Springer International Publishing; 2020:610-621. doi:10.1007/978-3-030-61616-8_49
HSBI-PUB
| DOI
2020 | Konferenzbeitrag | FH-PUB-ID: 2642
Ostrau C, Klarhorst C, Thies M, Rückert U. Benchmarking of Neuromorphic Hardware Systems. In: Proceedings of the Neuro-Inspired Computational Elements Workshop. New York, NY, USA: ACM; 2020:1-4. doi:10.1145/3381755.3381772
HSBI-PUB
| DOI
2019 | Kurzbeitrag Konferenz | FH-PUB-ID: 2669 |
Ostrau C, Klarhorst C, Thies M, Rückert U. Benchmarking and Characterization of event-based Neuromorphic Hardware . In: ; 2019.
HSBI-PUB
| Download (ext.)
2019 | Konferenzbeitrag | FH-PUB-ID: 2643
Ostrau C, Klarhorst C, Thies M, Ruckert U. Comparing Neuromorphic Systems by Solving Sudoku Problems. In: 2019 International Conference on High Performance Computing & Simulation (HPCS). IEEE; 2019:521-527. doi:10.1109/HPCS48598.2019.9188207
HSBI-PUB
| DOI
2017 | Artikel | FH-PUB-ID: 2644 |
Stöckel A, Jenzen C, Thies M, Rückert U. Binary Associative Memories as a Benchmark for Spiking Neuromorphic Hardware. Frontiers in Computational Neuroscience. 2017;11. doi:10.3389/fncom.2017.00071
HSBI-PUB
| DOI
| Download (ext.)