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KAIST Data Mining Lab's Projects

anoviz icon anoviz

[AAAI-23] AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series

crossmatch icon crossmatch

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

df-tar icon df-tar

[WWW-21] DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior

hi-covidnet icon hi-covidnet

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

melon icon melon

Implementation of AAAI 2022 paper "Meta-Learning for Online Update of Recommender Systems"

mg-tar icon mg-tar

[IEEE T-ITS] MG-TAR: Multi-view Graph Convolutional Networks for Traffic Accident Risk Prediction

nets icon nets

NETS:Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing

pasta icon pasta

Neural Architecture Search for Anomaly Detection in Multivariate Time Series

pcb icon pcb

Official PyTorch Implementation for Active Prompt Learning in Vision Language Models

revisit icon revisit

A repository of customer revisit prediction research.

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