| Paper ID | MLSP-P13.4 |
| Paper Title |
A DEEP LEARNING ARCHITECTURE FOR EPILEPTIC SEIZURE CLASSIFICATION BASED ON OBJECT AND ACTION RECOGNITION |
| Authors |
Tamás Karácsony, INESC TEC - Institute for Systems and Computer Engineering, Technology and Science, Portugal; Anna Mira Loesch-Biffar, Christian Vollmar, Soheyl Noachtar, University of Munich, Germany; Joao Paulo Silva Cunha, INESC TEC - Institute for Systems and Computer Engineering, Technology and Science, Portugal |
| Session | MLSP-P13: Neural Networks Applications II |
| Location | On-Demand |
| Session Time: | Friday, 08 May, 11:45 - 13:45 |
| Presentation Time: | Friday, 08 May, 11:45 - 13:45 |
| Presentation |
Poster
|
| Topic |
Machine Learning: [MLR-APPL] Applications of machine learning |
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| Virtual Presentation |
Click here to watch in the Virtual Conference |