A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models
S. Sanaullah, K. Roy, U. Rückert, T. Jungeblut, in: T. Lutchyn, A. Ramírez Rivera, B. Ricaud (Eds.), Proceedings of the 5th Northern Lights Deep Learning Conference, Proceedings of Machine Learning Research (PMLR), UiT The Arctic University, Tromsø, Norway, 2024.
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Autor*in
Herausgeber*in
Lutchyn, Tetiana ;
Ramírez Rivera, Adín ;
Ricaud, Benjamin
Erscheinungsjahr
Titel des Konferenzbandes
Proceedings of the 5th Northern Lights Deep Learning Conference
Band
233
Konferenz
5th Northern Lights Deep Learning Conference NLDL
Konferenzort
UiT The Arctic University, Tromsø, Norway
Konferenzdatum
2024-01-09 – 2024-01-11
FH-PUB-ID
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Sanaullah, Sanaullah ; Roy, Kaushik ; Rückert, Ulrich ; Jungeblut, Thorsten: A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models. In: Lutchyn, T. ; Ramírez Rivera, A. ; Ricaud, B. (Hrsg.): Proceedings of the 5th Northern Lights Deep Learning Conference. Bd. 233. UiT The Arctic University, Tromsø, Norway : Proceedings of Machine Learning Research (PMLR), 2024
Sanaullah S, Roy K, Rückert U, Jungeblut T. A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models. In: Lutchyn T, Ramírez Rivera A, Ricaud B, eds. Proceedings of the 5th Northern Lights Deep Learning Conference. Vol 233. UiT The Arctic University, Tromsø, Norway: Proceedings of Machine Learning Research (PMLR); 2024. doi:10.48550/arXiv.2407.08861
Sanaullah, S., Roy, K., Rückert, U., & Jungeblut, T. (2024). A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models. In T. Lutchyn, A. Ramírez Rivera, & B. Ricaud (Eds.), Proceedings of the 5th Northern Lights Deep Learning Conference (Vol. 233). UiT The Arctic University, Tromsø, Norway: Proceedings of Machine Learning Research (PMLR). https://doi.org/10.48550/arXiv.2407.08861
@inproceedings{Sanaullah_Roy_Rückert_Jungeblut_2024, place={UiT The Arctic University, Tromsø, Norway}, title={A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models}, volume={233}, DOI={10.48550/arXiv.2407.08861}, booktitle={Proceedings of the 5th Northern Lights Deep Learning Conference}, publisher={Proceedings of Machine Learning Research (PMLR)}, author={Sanaullah, Sanaullah and Roy, Kaushik and Rückert, Ulrich and Jungeblut, Thorsten}, editor={Lutchyn, Tetiana and Ramírez Rivera, Adín and Ricaud, Benjamin Editors}, year={2024} }
Sanaullah, Sanaullah, Kaushik Roy, Ulrich Rückert, and Thorsten Jungeblut. “A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models.” In Proceedings of the 5th Northern Lights Deep Learning Conference, edited by Tetiana Lutchyn, Adín Ramírez Rivera, and Benjamin Ricaud, Vol. 233. UiT The Arctic University, Tromsø, Norway: Proceedings of Machine Learning Research (PMLR), 2024. https://doi.org/10.48550/arXiv.2407.08861.
S. Sanaullah, K. Roy, U. Rückert, and T. Jungeblut, “A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models,” in Proceedings of the 5th Northern Lights Deep Learning Conference, UiT The Arctic University, Tromsø, Norway, 2024, vol. 233.
Sanaullah, Sanaullah, et al. “A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models.” Proceedings of the 5th Northern Lights Deep Learning Conference, edited by Tetiana Lutchyn et al., vol. 233, Proceedings of Machine Learning Research (PMLR), 2024, doi:10.48550/arXiv.2407.08861.
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