A benchmark dataset for fact verification focusing on temporal and numerical reasoning with time-series evidence.

A curated list of paper, code, data, and other resources focus on multimodal time series analysis.

Repository for the paper, "Exploiting Representation Curvature for Boundary Detection in Time Series" accepted at NeurIPS 2024

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

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

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

[ECML PKDD 2023] Context-Aware Deep Time-Series Decomposition for Anomaly Detection in Businesses

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

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

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

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

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

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

A repository of customer revisit prediction research.