ODD Workshop

@odd_workshop

6th Outlier Detection and Description Workshop, co-located with #KDD2021 oddworkshop.github.io

ODD Workshop
@odd_workshop
Sep 9, 2022
Interesting benchmark for Fraud created by @awscloud @groverpr4 arxiv.org/abs/2208.14417
1
ODD Workshop
@odd_workshop
Aug 15, 2021
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
2
ODD Workshop
@odd_workshop
Jul 30, 2021
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
1
ODD Workshop
@odd_workshop
Jul 19, 2021
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
2
ODD Workshop
@odd_workshop
Jul 19, 2021
Kats by @facebookai is a Python library for time series analysis.
Xiaodong Jiang
@xd_jiang
Jun 21, 2021
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