Python code for abnormal detection using Support Vector Data Description (SVDD)

MATLAB Code for abnormal detection using Support Vector Data Description (SVDD).

One-class classifiers for anomaly detection (outlier detection)

2D residual U-Net (ResUNet) and a lead combiner (LC) for 12-lead ECG Abnormality Classification

Machine Learning Algorithm : outlier identifying, feature selection

A references and discriptions for anomaly, inspection, defect detection datasets.

Automatic SMS Parsing and Transaction Creation for FireFly-III with suite of scripts designed to enhance your experience with FireFly-III

依据用户认证数据构建评估模型，预测当前用户认证行为风险。

依据账户数据识别涉及交易欺诈的风险账户。

This project uses statistical analysis to detect fraudulent credit card transactions by examining patterns and anomalies in a dataset of 10,000 transactions, calculating averages, medians, frequencies, and identifying outliers to distinguish between legitimate and fraudulent activities.

Implement VAE & Context-encoder using PyTorch.

Code repository for the book 'Machine Learning in Python for Visual and Acoustic Data-based Process Monitoring'

LG Aimers 5기 해커톤 | 온라인 10위 오프라인 9위🥇 | 이상 탐지 | 머신러닝 | 부스팅 | 앙상블

Develop a self-supervised learning algorithm to extract deep features from millions of unlabeled signal data to identify abnormal driving behaviors

Script Matlab / Octave Skripsi/Tugas Akhir S1 bagustris

A dataset includes individuals' abnormal behaviors in massive crowds.

2023년 2학기 종합설계프로젝트1 X 우경정보기술 - 이상행동 객체 탐지 시스템

1274-Videos-Fence-Climb-Behavior-Data

40-People-Safety-Dressing-Collection-Data

Cyclone Preheater Abnormality Study