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10 Publikationen

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[10]
2024 | Artikel | FH-PUB-ID: 4626 | OA
Bewältigung des Fachkräftemangels durch technologische Innovation?
B. Pottharst, A. Neumann, C. Ostrau, U. Seelmeyer, Sozial Extra (2024).
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[9]
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4639 | OA
KI-gestütztes Monitoring zur Unterstützung in der häuslichen Pflege (KIMUP)
T.C. Herzig, C. Marschner, S. Held, T. Jungeblut, J. Baudisch, C. Ostrau, M. Klemm, A. Uphaus, R. Amelung, A. Nauerth, in: Institute for Data Science Solutions (Ed.), Kongress KI@HSBI2023 Solutions im Fokus - Posterbeiträge , Hochschule Bielefeld, Bielefeld, 2024, pp. 9–10.
HSBI-PUB | DOI | Download (ext.)
 
[8]
2024 | Konferenzbeitrag | FH-PUB-ID: 4644
Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data
L. Klein, C. Ostrau, M. Thies, W. Schenck, U. Rückert, in: D. Salvi, P. Van Gorp, S.A. Shah (Eds.), Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings, Springer Nature Switzerland, Cham, 2024, pp. 423–437.
HSBI-PUB | DOI
 
[7]
2022 | Artikel | FH-PUB-ID: 2639 | OA
Benchmarking Neuromorphic Hardware and Its Energy Expenditure
C. Ostrau, C. Klarhorst, M. Thies, U. Rückert, Frontiers in Neuroscience 16 (2022).
HSBI-PUB | DOI | Download (ext.)
 
[6]
2022 | Dissertation | FH-PUB-ID: 2640 | OA
Energy and Performance Estimation for Neuromorphic Systems
C. Ostrau, Energy and Performance Estimation for Neuromorphic Systems, Universität Bielefeld, 2022.
HSBI-PUB | DOI | Download (ext.)
 
[5]
2020 | Konferenzbeitrag | FH-PUB-ID: 2668
Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware
C. Ostrau, J. Homburg, C. Klarhorst, M. Thies, U. Rückert, in: I. Farkaš, P. Masulli, S. Wermter (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, Springer International Publishing, Cham, 2020, pp. 610–621.
HSBI-PUB | DOI
 
[4]
2020 | Konferenzbeitrag | FH-PUB-ID: 2642
Benchmarking of Neuromorphic Hardware Systems
C. Ostrau, C. Klarhorst, M. Thies, U. Rückert, in: Proceedings of the Neuro-Inspired Computational Elements Workshop, ACM, New York, NY, USA, 2020, pp. 1–4.
HSBI-PUB | DOI
 
[3]
2019 | Kurzbeitrag Konferenz | FH-PUB-ID: 2669 | OA
Benchmarking and Characterization of event-based Neuromorphic Hardware
C. Ostrau, C. Klarhorst, M. Thies, U. Rückert, in: 2019.
HSBI-PUB | Download (ext.)
 
[2]
2019 | Konferenzbeitrag | FH-PUB-ID: 2643
Comparing Neuromorphic Systems by Solving Sudoku Problems
C. Ostrau, C. Klarhorst, M. Thies, U. Ruckert, in: 2019 International Conference on High Performance Computing & Simulation (HPCS), IEEE, 2019, pp. 521–527.
HSBI-PUB | DOI
 
[1]
2017 | Artikel | FH-PUB-ID: 2644 | OA
Binary Associative Memories as a Benchmark for Spiking Neuromorphic Hardware
A. Stöckel, C. Jenzen, M. Thies, U. Rückert, Frontiers in Computational Neuroscience 11 (2017).
HSBI-PUB | DOI | Download (ext.)
 

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10 Publikationen

Alle markieren

[10]
2024 | Artikel | FH-PUB-ID: 4626 | OA
Bewältigung des Fachkräftemangels durch technologische Innovation?
B. Pottharst, A. Neumann, C. Ostrau, U. Seelmeyer, Sozial Extra (2024).
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[9]
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4639 | OA
KI-gestütztes Monitoring zur Unterstützung in der häuslichen Pflege (KIMUP)
T.C. Herzig, C. Marschner, S. Held, T. Jungeblut, J. Baudisch, C. Ostrau, M. Klemm, A. Uphaus, R. Amelung, A. Nauerth, in: Institute for Data Science Solutions (Ed.), Kongress KI@HSBI2023 Solutions im Fokus - Posterbeiträge , Hochschule Bielefeld, Bielefeld, 2024, pp. 9–10.
HSBI-PUB | DOI | Download (ext.)
 
[8]
2024 | Konferenzbeitrag | FH-PUB-ID: 4644
Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data
L. Klein, C. Ostrau, M. Thies, W. Schenck, U. Rückert, in: D. Salvi, P. Van Gorp, S.A. Shah (Eds.), Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings, Springer Nature Switzerland, Cham, 2024, pp. 423–437.
HSBI-PUB | DOI
 
[7]
2022 | Artikel | FH-PUB-ID: 2639 | OA
Benchmarking Neuromorphic Hardware and Its Energy Expenditure
C. Ostrau, C. Klarhorst, M. Thies, U. Rückert, Frontiers in Neuroscience 16 (2022).
HSBI-PUB | DOI | Download (ext.)
 
[6]
2022 | Dissertation | FH-PUB-ID: 2640 | OA
Energy and Performance Estimation for Neuromorphic Systems
C. Ostrau, Energy and Performance Estimation for Neuromorphic Systems, Universität Bielefeld, 2022.
HSBI-PUB | DOI | Download (ext.)
 
[5]
2020 | Konferenzbeitrag | FH-PUB-ID: 2668
Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware
C. Ostrau, J. Homburg, C. Klarhorst, M. Thies, U. Rückert, in: I. Farkaš, P. Masulli, S. Wermter (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, Springer International Publishing, Cham, 2020, pp. 610–621.
HSBI-PUB | DOI
 
[4]
2020 | Konferenzbeitrag | FH-PUB-ID: 2642
Benchmarking of Neuromorphic Hardware Systems
C. Ostrau, C. Klarhorst, M. Thies, U. Rückert, in: Proceedings of the Neuro-Inspired Computational Elements Workshop, ACM, New York, NY, USA, 2020, pp. 1–4.
HSBI-PUB | DOI
 
[3]
2019 | Kurzbeitrag Konferenz | FH-PUB-ID: 2669 | OA
Benchmarking and Characterization of event-based Neuromorphic Hardware
C. Ostrau, C. Klarhorst, M. Thies, U. Rückert, in: 2019.
HSBI-PUB | Download (ext.)
 
[2]
2019 | Konferenzbeitrag | FH-PUB-ID: 2643
Comparing Neuromorphic Systems by Solving Sudoku Problems
C. Ostrau, C. Klarhorst, M. Thies, U. Ruckert, in: 2019 International Conference on High Performance Computing & Simulation (HPCS), IEEE, 2019, pp. 521–527.
HSBI-PUB | DOI
 
[1]
2017 | Artikel | FH-PUB-ID: 2644 | OA
Binary Associative Memories as a Benchmark for Spiking Neuromorphic Hardware
A. Stöckel, C. Jenzen, M. Thies, U. Rückert, Frontiers in Computational Neuroscience 11 (2017).
HSBI-PUB | DOI | Download (ext.)
 

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