| Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim. Sanaullah, S Koravuna, U Rückert, T Jungeblut International Journal of Neural Systems, 2350044-2350044, 2023 | 8 | 2023 |
| SNNs model analyzing and visualizing experimentation using RAVSim Sanaullah, S Koravuna, U Rückert, T Jungeblut International conference on engineering applications of neural networks, 40-51, 2022 | 8 | 2022 |
| A parallel approach to perform threshold value and propagation delay analyses of genetic logic circuit models Sanaullah, H Baig, J Madsen, JA Lee ACS Synthetic Biology 9 (12), 3422-3428, 2020 | 6 | 2020 |
| Exploring spiking neural networks: a comprehensive analysis of mathematical models and applications Sanaullah, S Koravuna, U Rückert, T Jungeblut Frontiers in Computational Neuroscience 17, 2023 | 4 | 2023 |
| Streamlined Training of GCN for Node Classification with Automatic Loss Function and Optimizer Selection Sanaullah, S Koravuna, U Rückert, T Jungeblut International Conference on Engineering Applications of Neural Networks, 191-202, 2023 | 2 | 2023 |
| Transforming Event-Based into Spike-Rate Datasets for Enhancing Neuronal Behavior Simulation to Bridging the Gap for SNNs S Ullah, S Koravuna, U Rückert, T Jungeblut International Conference on Computer Vision (ICCV-2023), 2023 | 1 | 2023 |
| A Novel Spike Vision Approach for Robust Multi-Object Detection Using SNNs Sanaullah, S Koravuna, U Rückert, T Jungeblut Novel Trends in Data Science 2023, 2024 | | 2024 |
| A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models Sanaullah, K Roy, U Rückert, T Jungeblut Northern Lights Deep Learning Conference, 220-227, 2024 | | 2024 |
| A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting S Ullah, A Amanullah, K Roy, JA Lee, S Chul-Jun, T Jungeblut International Conference on Computer Vision (ICCV) 2023, 2023 | | 2023 |
| A Novel Spike Vision Approach for Robust Multi-Object Detection using SNNs S Ullah, S Koravuna, U Rückert, T Jungeblut Novel Trends in Data Science 2023, 2023 | | 2023 |
| Analysis of MR Images for Early and Accurate Detection of Brain Tumor using Resource Efficient Simulator Brain Analysis S Ullah, T Jungeblut 19th International Conference on Machine Learning and Data Mining MLDM, 2023 | | 2023 |
| Digit Recognition Using Spiking Neural Networks on FPGA S Koravuna, Sanaullah, T Jungeblut, U Rückert International Work-Conference on Artificial Neural Networks, 406-417, 2023 | | 2023 |
| Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures S Ullah, S Koravuna, U Rückert, T Jungeblut 2023 Neuro-Inspired Computing Elements (NICE) Conference, 2023 | | 2023 |
| Evaluating Spiking Neural Network Models: A Comparative Performance Analysis Sanaullah, S Koravuna, U Rückert, T Jungeblut Dataninja Spring School 2023, 2023 | | 2023 |
| NireHApS: Neuro-Inspired and Resource-Efficient Hardware-Architectures for Plastic SNNs S Ullah, S Koravuna, T Jungeblut, U Rückert | | 2022 |
| Real-Time Resource Efficient Simulator for SNNs-based Model Experimentation Sanaullah, S Koravuna, T Jungeblut, U Rückert Dataninja Spring School 2022, 2022 | | 2022 |
| Accelerating the Threshold and Timing Analysis of Genetic Logic Circuit Models Sanaullah, H Baig, JA Lee IWBDA 2019, 2019 | | 2019 |
Thorsten JungeblutBielefeld University of Applied Sciences, GermanyVerified email at fh-bielefeld.de
