PUB - Publikationen an der Universität Bielefeld

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• [13]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982807

  Ullah, 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

  PUB | PDF | DOI | WoS | PubMed | Europe PMC
   
• [12]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2985715

  Koravuna, S.; Ullah, S.; Jungeblut, T.; Rückert, U. (2023): Digit Recognition Using Spiking Neural Networks on FPGA. In: Ignacio Rojas; Gonzalo Joya; Andreu Catala (Hrsg.): Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I. Cham: Springer Nature Switzerland. (Lecture Notes in Computer Science, ). S. 406-417.

  PUB | DOI
   
• [11]
  

  2023 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2985713

  Ullah, S.; Jungeblut, T. (2023): Analysis of MR Images for Early and Accurate Detection of Brain Tumor using Resource Efficient Simulator Brain Analysis. In: 19th International Conference on Machine Learning and Data Mining MLDM. New York USA.

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• [10]
  

  2023 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2985712

  Ullah, 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. In: International Conference on Computer Vision (ICCV) 2023. Paris France .

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• [9]
  

  2023 | Konferenzbeitrag | Angenommen | PUB-ID: 2985188

  Ullah, S.; Koravuna, S.; Rückert, U.; Jungeblut, T. (Accepted): A Novel Spike Vision Approach for Robust Multi-Object Detection using SNNs.

  PUB | DOI | Download (ext.) | Preprint
   
• [8]
  

  2023 | Konferenzbeitrag | PUB-ID: 2983660

  Ullah, 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. Paris France : Published.

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• [7]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982808

  Ullah, 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,33:(09):2350044

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [6]
  

  2023 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2982810

  Ullah, S.; Koravuna, S.; Rückert, U.; Jungeblut, T. (2023): Evaluating Spiking Neural Network Models: A Comparative Performance Analysis. Bielefeld : Datatninja Spring School 2023.

  PUB | DOI
   
• [5]
  

  2023 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2982811

  Ullah, S.; Koravuna, S.; Rückert, U.; Jungeblut, T. (2023): Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures. University of Texas at San Antonio: Neuro-Inspired Computing Elements (NICE 2023).

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• [4]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982809

  Ullah, S.; Koravuna, S.; Rückert, U.; Jungeblut, T. (2023): Streamlined Training of GCN for Node Classification with Automatic Loss Function and Optimizer Selection. In: Lazaros Iliadis; Ilias Maglogiannis; Serafin Alonso; Chrisina Jayne; Elias Pimenidis (Hrsg.): Engineering Applications of Neural Networks. 24th International Conference, EAAAI/EANN 2023, León, Spain, June 14–17, 2023, Proceedings. Cham: Springer Nature Switzerland. (Communications in Computer and Information Science, ). S. 191-202.

  PUB | DOI
   
• [3]
  

  2022 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2982814

  Ullah, S.; Koravuna, S.; Jungeblut, T.; Rückert, U. (2022): Real-Time Resource Efficient Simulator for SNNs-based Model Experimentation. Bielefeld : Datatninja Spring School 2022.

  PUB | DOI
   
• [2]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2979461

  Ullah, S.; Koravuna, S.; Rückert, U.; Jungeblut, T. (2022): SNNs Model Analyzing and Visualizing Experimentation Using RAVSim. In: Lazaros Iliadis; Chrisina Jayne; Anastasios Tefas; Elias Pimenidis (Hrsg.): Engineering Applications of Neural Networks. 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings. Cham: Springer International Publishing. (Communications in Computer and Information Science, ). S. 40-51.

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• [1]
  

  2022 | Preprint | PUB-ID: 2982804

  Ullah, S.; Koravuna, S.; Jungeblut, T.; Rückert, U. (2022): NireHApS: Neuro-Inspired and Resource-Efficient Hardware-Architectures for Plastic SNNs

  PUB | DOI