SNNs Model Analyzing and Visualizing Experimentation Using RAVSim
S. Sanaullah, S. Koravuna, U. Rückert, T. Jungeblut, in: L. Iliadis, C. Jayne, A. Tefas, E. Pimenidis (Eds.), Engineering Applications of Neural Networks. 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings, Springer International Publishing, Cham, 2022, pp. 40–51.
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Konferenzbeitrag
| Veröffentlicht
| Englisch
Autor*in
Herausgeber*in
Iliadis, Lazaros;
Jayne, Chrisina;
Tefas, Anastasios;
Pimenidis, Elias
Erscheinungsjahr
Titel des Konferenzbandes
Engineering Applications of Neural Networks. 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings
Seite
40-51
Konferenz
23rd International Conference, EAAAI/EANN 2022
Konferenzort
Greta
Konferenzdatum
2022-06-17 – 2022-06-20
ISBN
ISSN
eISSN
FH-PUB-ID
Zitieren
Sanaullah, Sanaullah ; Koravuna, Shamini ; Rückert, Ulrich ; Jungeblut, Thorsten: SNNs Model Analyzing and Visualizing Experimentation Using RAVSim. In: Iliadis, L. ; Jayne, C. ; Tefas, A. ; Pimenidis, E. (Hrsg.): 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, S. 40–51
Sanaullah 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. doi:10.1007/978-3-031-08223-8_4
Sanaullah, S., Koravuna, S., Rückert, U., & Jungeblut, T. (2022). SNNs Model Analyzing and Visualizing Experimentation Using RAVSim. In L. Iliadis, C. Jayne, A. Tefas, & E. Pimenidis (Eds.), Engineering Applications of Neural Networks. 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings (pp. 40–51). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-08223-8_4
@inproceedings{Sanaullah_Koravuna_Rückert_Jungeblut_2022, place={Cham}, series={Communications in Computer and Information Science}, title={SNNs Model Analyzing and Visualizing Experimentation Using RAVSim}, DOI={10.1007/978-3-031-08223-8_4}, booktitle={Engineering Applications of Neural Networks. 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings}, publisher={Springer International Publishing}, author={Sanaullah, Sanaullah and Koravuna, Shamini and Rückert, Ulrich and Jungeblut, Thorsten}, editor={Iliadis, Lazaros and Jayne, Chrisina and Tefas, Anastasios and Pimenidis, EliasEditors}, year={2022}, pages={40–51}, collection={Communications in Computer and Information Science} }
Sanaullah, Sanaullah, Shamini Koravuna, Ulrich Rückert, and Thorsten Jungeblut. “SNNs Model Analyzing and Visualizing Experimentation Using RAVSim.” In Engineering Applications of Neural Networks. 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings, edited by Lazaros Iliadis, Chrisina Jayne, Anastasios Tefas, and Elias Pimenidis, 40–51. Communications in Computer and Information Science. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-08223-8_4.
S. Sanaullah, S. Koravuna, U. Rückert, and T. Jungeblut, “SNNs Model Analyzing and Visualizing Experimentation Using RAVSim,” in Engineering Applications of Neural Networks. 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings, Greta, 2022, pp. 40–51.
Sanaullah, Sanaullah, et al. “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, edited by Lazaros Iliadis et al., Springer International Publishing, 2022, pp. 40–51, doi:10.1007/978-3-031-08223-8_4.
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