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Youngeun Nam's Projects

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Reading list for the Advanced Machine Learning Course

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Implementation of the paper "Context Consistency Regularization for Label Sparsity in Time Series" (ICML'23)

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DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior

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Codes and data for the paper "Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea", KDD 2020

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MG-TAR: Multi-view Graph Convolutional Networks for Traffic Accident Risk Prediction

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Time Series Anomaly Detection with Multi-resolution Ensemble Learning

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A machine learning library for detecting anomalies in signals.

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Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping

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Implementation of ICLR'22 Coherence-based Label Propagation over Time Series for Accelerated Active Learning

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TensorSparkML brings scalable in-memory machine learning to TensorFlow on Apache Spark clusters.

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TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data

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Wavelet Analysis with Improved CNN

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