| Educational gamification and artificial intelligence for promoting digital literacy S Koravuna, UK Surepally Proceedings of the 2nd International Conference on Intelligent and …, 2020 | 11 | 2020 |
| 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 | 9 | 2023 |
| SNNs model analyzing and visualizing experimentation using ravsim Sanaullah, S Koravuna, U Rückert, T Jungeblut Engineering Applications of Neural Networks, 40-51, 2022 | 8 | 2022 |
| 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 | 6 | 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 SK Sanaullah, U Rückert, T Jungeblut IEEE Conference on Computer Vision (ICCV), 2023 | 1 | 2023 |
| A Novel Spike Vision Approach for Robust Multi-Object Detection Using SNNs S Koravuna, U Rückert, T Jungeblut EasyChair, 2024 | | 2024 |
| 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 |
| A Novel Spike Vision Approach for Robust Multi-Object Detection using SNNs S Sanaullah, S Koravuna, U Rückert, T Jungeblut | | 2023 |
| A Novel Spike Vision Approach for Robust Multi-Object Detection using SNNs S Ullah, S Koravuna, U Rückert, T Jungeblut | | 2023 |
| Evaluating Spiking Neural Network Models: A Comparative Performance Analysis S Ullah, S Koravuna, U Rückert, T Jungeblut | | 2023 |
| Streamlined Training of GCN for Node Classification with Automatic Loss Function and Optimizer Selection S Ullah, S Koravuna, U Rückert, T Jungeblut Engineering Applications of Neural Networks. 24th International Conference …, 2023 | | 2023 |
| NireHApS: Neuro-Inspired and Resource-Efficient Hardware-Architectures for Plastic SNNs S Ullah, S Koravuna, T Jungeblut, U Rückert | | 2022 |
| Real-Time SNNs Model Analyzing and Visualizing Experimentation S Ullah, S Koravuna, T Jungeblut, U Rückert | | 2022 |
| N-MNIST object recognition with Spiking Neural Networks F Pennino, S Koravuna, C Ostrau, IU Rückert | | |
| Real-Time Resource Efficient Simulator for SNNs-based Model Experimentation Sanaullah, S Koravuna, U Rückert, T Jungeblut | | |
| Evaluating Spiking Neural Network Models: A Comparative Performance Analysis Sanaullah, S Koravuna, U Rückert, T Jungeblut | | |
| Real-Time Resource Efficient Simulator for SNNs-based Model Experimentation Sanaullah, S Koravuna, U Rückert, T Jungeblut | | |
| Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures Sanaullah, S Koravuna | | |
Thorsten JungeblutBielefeld University of Applied Sciences, GermanyVerified email at fh-bielefeld.de
