Overall system architecture for EEG signal classification with Deep RL (IEEE SMC 2018)

Attentional Control for Time-Series Data (Master's Thesis)

Master’s thesis at KAIST on attentional control for time-series classification and synthesis, solving the memory-based vs. memoryless trade-off for EEG signals. Oral presentation at IEEE SMC 2018.

February 15, 2019 · 2 min · Jungbae Park