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, Sana, Koravuna, Shamini, Rückert, Ulrich, and Jungeblut, Thorsten. “Exploring spiking neural networks: a comprehensive analysis of mathematical models and applications”. Frontiers in Computational Neuroscience 17 (2023).
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [12]
    2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2985715
    Koravuna, Shamini, Ullah, Sana, Jungeblut, Thorsten, and Rückert, Ulrich. “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. Ed. Ignacio Rojas, Gonzalo Joya, and Andreu Catala. Cham: Springer Nature Switzerland, 2023. Lecture Notes in Computer Science. 406-417.
    PUB | DOI
     
  • [11]
    2023 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2985713
    Ullah, Sana, and Jungeblut, Thorsten. “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.)
     
  • [10]
    2023 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2985712
    Ullah, Sana, Amanullah, Amanullah, Roy, Kaushik, Lee, Jeong-A, Chul-Jun, Son, and Jungeblut, Thorsten. “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.)
     
  • [9]
    2023 | Konferenzbeitrag | Angenommen | PUB-ID: 2985188
    Ullah, Sana, Koravuna, Shamini, Rückert, Ulrich, and Jungeblut, Thorsten. “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
     
  • [8]
    2023 | Konferenzbeitrag | PUB-ID: 2983660
    Ullah, Sana, Koravuna, Shamini, Rückert, Ulrich, and Jungeblut, Thorsten. “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
     
  • [7]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982808
    Ullah, Sana, Koravuna, Shamini, Rückert, Ulrich, and Jungeblut, Thorsten. “Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim”. International Journal of Neural Systems 33.09 (2023): 2350044.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [6]
    2023 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2982810
    Ullah, Sana, Koravuna, Shamini, Rückert, Ulrich, and Jungeblut, Thorsten. “Evaluating Spiking Neural Network Models: A Comparative Performance Analysis”., Bielefeld : Datatninja Spring School 2023, 2023.
    PUB | DOI
     
  • [5]
    2023 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2982811
    Ullah, Sana, Koravuna, Shamini, Rückert, Ulrich, and Jungeblut, Thorsten. “Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures”., University of Texas at San Antonio: Neuro-Inspired Computing Elements (NICE 2023), 2023.
    PUB | DOI
     
  • [4]
    2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982809
    Ullah, Sana, Koravuna, Shamini, Rückert, Ulrich, and Jungeblut, Thorsten. “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. Ed. Lazaros Iliadis, Ilias Maglogiannis, Serafin Alonso, Chrisina Jayne, and Elias Pimenidis. Cham: Springer Nature Switzerland, 2023. Communications in Computer and Information Science. 191-202.
    PUB | DOI
     
  • [3]
    2022 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2982814
    Ullah, Sana, Koravuna, Shamini, Jungeblut, Thorsten, and Rückert, Ulrich. “Real-Time Resource Efficient Simulator for SNNs-based Model Experimentation”., Bielefeld : Datatninja Spring School 2022, 2022.
    PUB | DOI
     
  • [2]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2979461
    Ullah, Sana, Koravuna, Shamini, Rückert, Ulrich, and Jungeblut, Thorsten. “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. Ed. Lazaros Iliadis, Chrisina Jayne, Anastasios Tefas, and Elias Pimenidis. Cham: Springer International Publishing, 2022. Communications in Computer and Information Science. 40-51.
    PUB | DOI | Download (ext.)
     
  • [1]
    2022 | Preprint | PUB-ID: 2982804
    Ullah, Sana, Koravuna, Shamini, Jungeblut, Thorsten, and Rückert, Ulrich. “NireHApS: Neuro-Inspired and Resource-Efficient Hardware-Architectures for Plastic SNNs”. (2022).
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