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1. MLCAD: A Survey of Research in Machine Learning for CAD Keynote Paper.

2. A BPNN Model-Based AdaBoost Algorithm for Estimating Inside Moisture of Oil–Paper Insulation of Power Transformer.

3. Keynote Paper: From EDA to IoT eHealth: Promises, Challenges, and Solutions.

4. Call for Papers.

6. Call for Papers.

7. Call for Papers.

8. Call for Papers.

9. Mover: A Machine Learning Tool to Assist in the Reading and Writing of Technical Papers.

12. Advanced Process Monitoring Through Fault Detection and Classification for the Process Development of Tantalum Nitride Thin-Film Resistors.

13. Data Cleansing With Minimum Distortion for ML-Based Equipment Anomaly Detection.

14. A Convolutional Neural Network for Ghost Image Recognition and Waveform Design of Electrophoretic Displays.

16. Virtual Metrology Modeling for Wafer Edges via Graph Attention Networks.

17. Self-Assured Deep Learning With Minimum Pre-Labeled Data for Wafer Pattern Classification.

18. DPCrypto: Acceleration of Post-Quantum Cryptography Using Dot-Product Instructions on GPUs.

19. Investigating Bi-Level Optimization for Learning and Vision From a Unified Perspective: A Survey and Beyond.

20. Investigating Bi-Level Optimization for Learning and Vision From a Unified Perspective: A Survey and Beyond.

21. A Survey on Multi-Task Learning.

22. Hardware-Assisted Malware Detection and Localization Using Explainable Machine Learning.

23. Resource Allocation in UAV-Assisted Networks: A Clustering-Aided Reinforcement Learning Approach.

24. Continuous Action Reinforcement Learning From a Mixture of Interpretable Experts.

25. Recent Advances in Large Margin Learning.

26. Learning-Based Error-Constrained Motion Control for Pneumatic Artificial Muscle-Actuated Exoskeleton Robots With Hardware Experiments.

27. Extending Momentum Contrast With Cross Similarity Consistency Regularization.

28. Low-Rank Riemannian Optimization for Graph-Based Clustering Applications.

29. Overview and Efficiency of Decoder-Side Depth Estimation in MPEG Immersive Video.

30. Dual Encoding for Video Retrieval by Text.

31. A Survey on Knowledge Graph-Based Recommender Systems.

32. Cache-Aided Matrix Multiplication Retrieval.

33. A Deep Convolutional Autoencoder-Based Approach for Anomaly Detection With Industrial, Non-Images, 2-Dimensional Data: A Semiconductor Manufacturing Case Study.

34. A Resource Recommendation Model for Heterogeneous Workloads in Fog-Based Smart Factory Environment.

35. Composite Index for Comprehensive Assessment of Power System Transient Stability.

36. Assessing the Feasibility of Acoustic Based Seizure Detection.

39. Call for papers.

40. Call for Papers.

41. T-PAIR: Temporal Node-Pair Embedding for Automatic Biomedical Hypothesis Generation.

42. Wafer Scratch Pattern Reconstruction for High Diagnosis Accuracy and Yield Optimization.

43. Estimating Demand Flexibility Using Siamese LSTM Neural Networks.

44. A Survey on Deep Learning Techniques for Stereo-Based Depth Estimation.

45. NoisyOTNet: A Robust Real-Time Vehicle Tracking Model for Traffic Surveillance.

46. Condition Monitoring of High Voltage Circuit Breakers: Past to Future.

48. C2PAx: Complexity-Aware Constant Parameter Approximation for Energy-Efficient Tree-Based Machine Learning Accelerators.

49. Exploiting Wireless Technology for Energy-Efficient Accelerators With Multiple Dataflows and Precision.

50. Learnable Pooling in Graph Convolutional Networks for Brain Surface Analysis.