Anomaly Detection Techniques in Large-Scale Datasets

Anomaly detection means finding patterns in data that are different from normal.

The Beginner’s Guide to Clustering with Python

Clustering is a widely applied method in many domains like customer and image segmentation, image recognition, bioinformatics, and anomaly detection, all to group data into clusters in terms of similarity.

April 5, 2025

In "AI/ML Research"

Unsupervised and semi-supervised anomaly detection with data-centric ML

February 9, 2023

In "FAANG"

SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets

*= Equal Contributors We propose a Self-supervised Anomaly Detection technique, called SeMAnD, to detect geometric anomalies in Multimodal geospatial datasets. Geospatial data comprises acquired and derived heterogeneous data modalities that we transform to semantically meaningful, image-like tensors to address the challenges of representation, alignment, and fusion of multimodal data. SeMAnD…

November 9, 2023

In "FAANG"

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