13 Publikationen
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2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2985715S. Koravuna, et al., “Digit Recognition Using Spiking Neural Networks on FPGA”, Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I, I. Rojas, G. Joya, and A. Catala, eds., Lecture Notes in Computer Science, Cham: Springer Nature Switzerland, 2023, pp.406-417.PUB | DOI
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2023 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2985713S. Ullah and T. Jungeblut, “Analysis of MR Images for Early and Accurate Detection of Brain Tumor using Resource Efficient Simulator Brain Analysis”, 19th International Conference on Machine Learning and Data Mining MLDM, New York USA: 2023.PUB | DOI | Download (ext.)
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2023 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2985712S. Ullah, et al., “A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting”, International Conference on Computer Vision (ICCV) 2023, Paris France : 2023.PUB | DOI | Download (ext.)
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2023 | Konferenzbeitrag | Angenommen | PUB-ID: 2985188S. Ullah, et al., “A Novel Spike Vision Approach for Robust Multi-Object Detection using SNNs”, Presented at the Novel Trends in Data Science 2023, Congressi Stefano Franscini at Monte Verità in Ticino, Switzerland, Accepted.PUB | DOI | Download (ext.) | Preprint
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2023 | Konferenzbeitrag | PUB-ID: 2983660S. Ullah, et al., “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, Paris France : Published, 2023.PUB | DOI
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982808S. Ullah, et al., “Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim”, International Journal of Neural Systems, vol. 33, 2023, : 2350044.PUB | DOI | WoS | PubMed | Europe PMC
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2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982809S. Ullah, et al., “Streamlined Training of GCN for Node Classification with Automatic Loss Function and Optimizer Selection”, Engineering Applications of Neural Networks. 24th International Conference, EAAAI/EANN 2023, León, Spain, June 14–17, 2023, Proceedings, L. Iliadis, et al., eds., Communications in Computer and Information Science, Cham: Springer Nature Switzerland, 2023, pp.191-202.PUB | DOI
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2979461S. Ullah, et al., “SNNs Model Analyzing and Visualizing Experimentation Using RAVSim”, Engineering Applications of Neural Networks. 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings, L. Iliadis, et al., eds., Communications in Computer and Information Science, Cham: Springer International Publishing, 2022, pp.40-51.PUB | DOI | Download (ext.)
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