ODD Workshop at #KDD2021 starts from 8am Pacific time. There are 6 exciting keynote talks and a panel discussion on fairness in outlier detection.
oddworkshop.github.io
Accepted Papers at ODD 2021:
1. Scalable Change Point Detection for Dynamic Graphs
@shenyangHuang, @grwip, @ReiRabb
2. Out-of-Distribution Detection and Fairness Assessment in Dermatology
Hannah H Kim, Girmaw Abebe Tadesse, @RTFMCelia, @PhonesDrones, @krvarshney
If you are attending #KDD2021, check out the following interesting outlier/anomaly detection related papers:
1. Deep Clustering-based Fair Outlier Detection
arxiv.org/abs/2106.05127
by Hanyu Song, Peizhao Li, Hongfu Liu
@kdd_news
I’m excited to introduce Kats - a Python library for generic time series analysis. Kats aims to provide the one-stop shop for time series analysis, including detection, forecasting, feature extraction/embedding, multivariate analysis, etc.
Github: lnkd.in/gGPTz7t
