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

Alle markieren

  • [13]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2982807 OA
    Ullah S, Koravuna S, Rückert U, Jungeblut T. Exploring spiking neural networks: a comprehensive analysis of mathematical models and applications. Frontiers in Computational Neuroscience. 2023;17.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [12]
    2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2985715
    Koravuna S, Ullah S, Jungeblut T, Rückert U. Digit Recognition Using Spiking Neural Networks on FPGA. In: Rojas I, Joya G, Catala A, eds. Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland; 2023: 406-417.
    PUB | DOI
     
  • [11]
    2023 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2985713
    Ullah S, Jungeblut T. 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; 2023.
    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. A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting. In: International Conference on Computer Vision (ICCV) 2023. Paris France ; 2023.
    PUB | DOI | Download (ext.)
     
  • [9]
    2023 | Konferenzbeitrag | Angenommen | PUB-ID: 2985188
    Ullah S, Koravuna S, Rückert U, Jungeblut T. 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. 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. Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim. International Journal of Neural Systems. 2023;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. 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. 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. Streamlined Training of GCN for Node Classification with Automatic Loss Function and Optimizer Selection. In: Iliadis L, Maglogiannis I, Alonso S, Jayne C, Pimenidis E, eds. Engineering Applications of Neural Networks. 24th International Conference, EAAAI/EANN 2023, León, Spain, June 14–17, 2023, Proceedings. Communications in Computer and Information Science. Cham: Springer Nature Switzerland; 2023: 191-202.
    PUB | DOI
     
  • [3]
    2022 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2982814
    Ullah S, Koravuna S, Jungeblut T, Rückert U. 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. SNNs Model Analyzing and Visualizing Experimentation Using RAVSim. In: Iliadis L, Jayne C, Tefas A, Pimenidis E, eds. Engineering Applications of Neural Networks. 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings. Communications in Computer and Information Science. Cham: Springer International Publishing; 2022: 40-51.
    PUB | DOI | Download (ext.)
     
  • [1]
    2022 | Preprint | PUB-ID: 2982804
    Ullah S, Koravuna S, Jungeblut T, Rückert U. NireHApS: Neuro-Inspired and Resource-Efficient Hardware-Architectures for Plastic SNNs. 2022.
    PUB | DOI
     
Markierte Publikation(en)

Suche

Publikationen filtern

Darstellung / Sortierung

Export / Einbettung