Sana Ullah

sana.ullah@uni-bielefeld.de
ORCID logo https://orcid.org/0000-0003-4112-802X

PEVZ-ID
d6c308ff-85b9-4031-8320-66589527527f

13 Publikationen

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  • [13]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982807 OA
    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: Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I. Rojas I, Joya G, Catala A (Eds); Lecture Notes in Computer Science, Cham: Springer Nature Switzerland: 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.
    PUB | DOI | Download (ext.)
     
  • [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 .
    PUB | DOI | Download (ext.)
     
  • [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.
    Presented at the Novel Trends in Data Science 2023, Congressi Stefano Franscini at Monte Verità in Ticino, Switzerland.
    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.
    Presented at the International Conference on Computer Vision (ICCV) 2023, Paris France.
    PUB | DOI
     
  • [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.
    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.
    PUB | DOI
     
  • [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: Engineering Applications of Neural Networks. 24th International Conference, EAAAI/EANN 2023, León, Spain, June 14–17, 2023, Proceedings. Iliadis L, Maglogiannis I, Alonso S, Jayne C, Pimenidis E (Eds); Communications in Computer and Information Science, Cham: Springer Nature Switzerland: 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.
    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: Engineering Applications of Neural Networks. 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings. Iliadis L, Jayne C, Tefas A, Pimenidis E (Eds); Communications in Computer and Information Science, Cham: Springer International Publishing: 40-51.
    PUB | DOI | Download (ext.)
     
  • [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
     
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