KAIST Data Mining Lab

Pinned Repositories

BioNER
Language:Jupyter Notebook29 7 17
DF-TAR
[WWW-21] DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior
Language:Python28 5 712
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
Language:Jupyter Notebook34 16 1619
k-Medoid
Language:Java31 5 38
MG-TAR
[IEEE T-ITS] MG-TAR: Multi-view Graph Convolutional Networks for Traffic Accident Risk Prediction
Language:Python54 6 1421
MQNet
Language:Python32 2 1515
NETS
NETS:Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing
Language:Java37 5 413
RP-DBSCAN
Language:Java59 5 013
SELFIE
Language:Python50 7 49
STARE
Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping
Language:Java34 14 1423

KAIST Data Mining Lab's Repositories

kaist-dmlab/MG-TAR
[IEEE T-ITS] MG-TAR: Multi-view Graph Convolutional Networks for Traffic Accident Risk Prediction
Language:Python54 6 1421
kaist-dmlab/NETS
NETS:Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing
Language:Java37 5 413
kaist-dmlab/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
Language:Jupyter Notebook34 16 1619
kaist-dmlab/STARE
Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping
Language:Java34 14 1423
kaist-dmlab/MQNet
Language:Python32 2 1515
kaist-dmlab/BioNER
Language:Jupyter Notebook29 7 17
kaist-dmlab/DF-TAR
[WWW-21] DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior
Language:Python28 5 712
kaist-dmlab/RecencyBias
Language:Python27 15 1621
kaist-dmlab/TRAP
TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data
Language:Jupyter Notebook27 6 612
kaist-dmlab/Prune4Rel
Language:Python26 2 1417
kaist-dmlab/ARCUS
Language:Python25 2 26
kaist-dmlab/Ada-Boundary
Language:Python24 14 1518
kaist-dmlab/pcb
Official PyTorch Implementation for Active Prompt Learning in Vision Language Models
Language:Python24 2 02
kaist-dmlab/CrossMatch
Implementation of the paper "Context Consistency Regularization for Label Sparsity in Time Series" (ICML'23)
Language:Python22 2 1617
kaist-dmlab/TCLP
Implementation of ICLR'22 Coherence-based Label Propagation over Time Series for Accelerated Active Learning
Language:Python20 3 1617
kaist-dmlab/RECURVE
Repository for the paper, "Exploiting Representation Curvature for Boundary Detection in Time Series" accepted at NeurIPS 2024
Language:Python19 2 1415
kaist-dmlab/TensorSparkML
TensorSparkML brings scalable in-memory machine learning to TensorFlow on Apache Spark clusters.
Language:Python18 4 08
kaist-dmlab/MDUAL
Language:Java13 5 28
kaist-dmlab/MORPH
12 5 811
kaist-dmlab/DualTF
Language:Python9 1 62
kaist-dmlab/TAUFE
Language:Python8 2 02
kaist-dmlab/COVID-EENet
Language:Python7 5 22
kaist-dmlab/AnoViz
[AAAI-23] AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series
Language:Python5 2 01
kaist-dmlab/MeLON
Implementation of AAAI 2022 paper "Meta-Learning for Online Update of Recommender Systems"
Language:Python5 2 0
kaist-dmlab/Time-CAD
[ECML PKDD 2023] Context-Aware Deep Time-Series Decomposition for Anomaly Detection in Businesses
Language:Jupyter Notebook5 2 02
kaist-dmlab/AdaPromptCL
Language:Python41
kaist-dmlab/PASTA
[IEEE TETCI] PASTA: Neural Architecture Search for Anomaly Detection in Multivariate Time Series
Language:PureBasic4 3 12
kaist-dmlab/SemiTSR
[KDD'24] Semi-Supervised Learning for Time Series Collected at a Low Sampling Rate
2 1 12
kaist-dmlab/TFAS
Zero-Shot NAS for General Time-Series Analysis with Time-Frequency Aware Scoring
Language:Python23
kaist-dmlab/DropTop
1 2 01