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The Challenges of Using Scalp-EEG Input Signals for Continuous Device Control.

, , and . HCI (20), volume 6780 of Lecture Notes in Computer Science, page 525-527. Springer, (2011)

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The Challenges of Using Scalp-EEG Input Signals for Continuous Device Control., , and . HCI (20), volume 6780 of Lecture Notes in Computer Science, page 525-527. Springer, (2011)Coordination-driven Learning in Multi-agent Problem Spaces., , and . AAAI Fall Symposium: ALEC, volume 2269 of CEUR Workshop Proceedings, page 56-58. CEUR-WS.org, (2018)COA-GPT: Generative Pre-Trained Transformers for Accelerated Course of Action Development in Military Operations., and . ICMCIS, page 1-10. IEEE, (2024)Energy Efficient Convolutional Neural Networks for EEG Artifact Detection., , , , , and . BioCAS, page 1-4. IEEE, (2018)Development of an extensible SSVEP-BCI software platform and application to wheelchair control., and . NER, page 259-532. IEEE, (2017)Cycle-of-Learning for Autonomous Systems from Human Interaction., , and . CoRR, (2018)An Energy Efficient EdgeAI Autoencoder Accelerator for Reinforcement Learning., , , , , and . IEEE Open J. Circuits Syst., (2021)StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments., , , and . CVPR, page 22004-22013. IEEE, (2023)On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning., , , , , and . ACM Great Lakes Symposium on VLSI, page 507-512. ACM, (2019)Collaborative image triage with humans and computer vision., , , , and . SMC, page 4046-4051. IEEE, (2016)