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Learn to Place: FPGA Placement Using Reinforcement Learning and Directed Moves.

, , and . FPT, page 85-93. IEEE, (2020)

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A Comparison of Artificial Neural Network(ANN) and Support Vector Machine(SVM) Classifiers for Neural Seizure Detection., , , and . MWSCAS, page 646-649. IEEE, (2019)A 37-43GHz Two Way Current Combining Power Amplifier with 19.6-dBm P1dB for 5G Phased Arrays in 45nm-SOI CMOS., , , , and . ICECS, page 1-4. IEEE, (2021)VPR-Gym: A Platform for Exploring AI Techniques in FPGA Placement Optimization., , , , , and . FPL, page 72-78. IEEE, (2023)Breaking Boundaries: Optimizing FPGA CAD with Flexible and Multi-threaded Re-Clustering., and . HEART, page 11-18. ACM, (2023)Respect the Difference: Reinforcement Learning for Heterogeneous FPGA Placement., , , , and . ICFPT, page 152-160. IEEE, (2023)Linear and Nonlinear Feature Extraction for Neural Seizure Detection., , , , , , and . MWSCAS, page 795-798. IEEE, (2018)Hardware Acceleration of High Sensitivity Power-Aware Epileptic Seizure Detection System Using Dynamic Partial Reconfiguration., , , , , , and . IEEE Access, (2021)cuSCNN : an Efficient CUDA Implementation of Sparse CNNs., , , , and . HEART, page 107-113. ACM, (2023)Quality & Generality: A Flexible FPGA Re-Clustering Technique to Improve Packing and Placement., and . FPT, page 1-2. IEEE, (2022)Learn to Place: FPGA Placement Using Reinforcement Learning and Directed Moves., , and . FPT, page 85-93. IEEE, (2020)