Exploring Ijcnn 2021
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- Active Inference Presented by Karl J. Friston.
- Intelligent System Research: AI Ethical Challenges and Opportunities Presented by Jim Torresen.
- "Phase Transition Adaptation", Claudio Gallicchio, Alessio Micheli and Luca Silvestri.
- Deep Learning For Graphs Presented by Davide Bacciu.
- IJCNN Presentation Video: Reach Testing
In-Depth Information on Ijcnn 2021
Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural Networks, This video was created to present the paper published on Machine Learning for Accurate & Secure Brain-Computer Interfaces Presented by Dongrui Wu. Reservoir Computing: Randomized Recurrent Neural Networks Presented by Claudio Gallicchio.
Transfer Learning and Knowledge Transfer Between Humans and Machines with Brain-Inspired Spiking Neural Networks for ...
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