Learning from Data (Fall 2022)
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Poster List of Track B: IOT and Data Mining

  • Few-shot learning on human activity recognition (Team 3)

  • Remaining useful life prediction for Lithium-ion batteries across operation conditions by CORAL (Team 5)

  • Identify Potential Habitats for South China Tigers (Team 12)

  • Few-shot Classification for Human Activity Recognition (Team 14)

  • Oil Well Anomaly Detection using Graph Neural Network (Team 15)

  • Graph Architecture Optimization Using Simulated Annealing (Team 17)

  • Material Classification driven by Multimodal Perception using LSTM-FCN (Team 22)

  • Material Recognition Based on Tactile Data (Team 30)

  • Scalable Deep Gaussian Markov Random Fields for Data Inference (Team 35)

  • Soter: A Real-time Malicious Traffic Detection Framework Based on Deep Learning Enhancement of Programmable Switches (Team 40)

  • Probability Forecasting for Short Term Electric Load (Team 43)

Last edited on January 5th 2023 02:05AM (Time Zone: UTC).
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