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2518 Publikationen
2024 | Artikel | FH-PUB-ID: 4049
Knauf, H. (2024). Pädagogik first, Digitalisierung second. Frühe Bildung, 13(1), 48–50. https://doi.org/10.1026/2191-9186/a000655
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2023 | Buchbeitrag | FH-PUB-ID: 3222
Sanaullah, S., Koravuna, S., Rückert, U., & Jungeblut, T. (2023). Streamlined Training of GCN for Node Classification with Automatic Loss Function and Optimizer Selection. In L. Iliadis, I. Maglogiannis, S. Alonso, C. Jayne, & E. Pimenidis (Eds.), Engineering Applications of Neural Networks. 24th International Conference, EAAAI/EANN 2023, León, Spain, June 14–17, 2023, Proceedings (pp. 191–202). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-34204-2_17
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2023 | Artikel | FH-PUB-ID: 3482 | 
Sanaullah, S., Koravuna, S., Rückert, U., & Jungeblut, T. (2023). Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim. International Journal of Neural Systems. https://doi.org/10.1142/S0129065723500442
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2023 | Artikel | FH-PUB-ID: 3572 |
Sanaullah, S., Koravuna, S., Rückert, U., & Jungeblut, T. (2023). Exploring spiking neural networks: a comprehensive analysis of mathematical models and applications. Frontiers in Computational Neuroscience, 17. https://doi.org/10.3389/fncom.2023.1215824
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2023 | Artikel | FH-PUB-ID: 3666
Koravuna, S., Rückert, U., & Jungeblut, T. (2023). Evaluating Spiking Neural Network Models: A Comparative Performance Analysis. Preprint. https://doi.org/10.13140/RG.2.2.21295.71847
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2023 | Artikel | FH-PUB-ID: 3665 |
Sanaullah, S., Koravuna, S., Ruckert, U., & Jungeblut, T. (2023). Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures. Preprint. https://doi.org/10.13140/RG.2.2.26328.88324
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2023 | Konferenzbeitrag | FH-PUB-ID: 3644 |
Sanaullah, S., Koravuna, S., Rückert, U., & Jungeblut, T. (2023). Transforming Event-Based into Spike-Rate Datasets for Enhancing Neuronal Behavior Simulation to Bridging the Gap for SNNs. Presented at the International Conference on Computer Vision (ICCV) 2023, Paris France . https://doi.org/10.13140/RG.2.2.14469.32485
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2023 | Konferenzbeitrag | FH-PUB-ID: 4207 |
Sanaullah, S., & Jungeblut, T. (2023). Analysis of MR Images for Early and Accurate Detection of Brain Tumor using Resource Efficient Simulator Brain Analysis. Presented at the 19th International Conference on Machine Learning and Data Mining MLDM, New York USA. https://doi.org/10.5281/zenodo.10457930
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2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 4206 |
Sanaullah, S., Amanullah, A., Roy, K., Lee, J.-A., Chul-Jun, S., & Jungeblut, T. (2023). A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting. Presented at the International Conference on Computer Vision (ICCV) 2023, Paris France. https://doi.org/10.5281/zenodo.10458019
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2023 | Konferenzbeitrag | FH-PUB-ID: 4205 |
Sanaullah, S., Koravuna, S., Rückert, U., & Jungeblut, T. (2023). A Novel Spike Vision Approach for Robust Multi-Object Detection using SNNs. Presented at the Conference: Novel Trends in Data Science 2023, Congressi Stefano Franscini at Monte Verità in Ticino, Switzerland. https://doi.org/10.5281/zenodo.10262228
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