Popular GitHub Repositories for Claim Denial

Links to conference/journal publications in automated fact-checking (resources for the TACL22/EMNLP23 paper).

Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities

NotPixel automatic claim and paint bot? easy to use without extras.

MemStream: Memory-Based Streaming Anomaly Detection

Auto chat, leave, join discord server, delete, reaction messages with AI. [100 STARS TO ENABLE AUTO CHAT WITH AI]

This project aims to emulate some of the advanced reasoning capabilities seen in models like OpenAI's o1. It does not claim to replicate the exact functionality or performance of o1.

Auto connect wallet, referrals, chat with AI.

A machine learning program, that detects denial of service attack using machine learning technique.

Fact-checking system for textual and visual inputs.

Python implementation of the MIDAS algorithm.

Automation for Pixai.art auto claim credits

Auto do tasks, play games, referrals, checkin.

In the banking industry, detecting credit card fraud using machine learning is not just a trend; it is a necessity for banks, as they need to put proactive monitoring and fraud prevention mechanisms in place. Machine learning helps these institutions reduce time-consuming manual reviews, costly chargebacks and fees, and denial of legitimate transactions. Suppose you are part of the analytics team working on a fraud detection model and its cost-benefit analysis. You need to develop a machine learning model to detect fraudulent transactions based on the historical transactional data of customers with a pool of merchants.

Computers & Security

Insurance claim fraud detection using machine learning algorithms.

GLM, Neural Network and Gradient Boosting for Insurance Pricing, Part 1: Claim Frequency

Successfully established a machine learning model which can estimate the net health insurance claim of an individual based on a set of characteristics of that individual to an appreciable level of accuracy.

The platform features: Provide 24/7, personalized guidance on policy selection and claims via voice or chat. Ensure clear understanding of policy terms. Automate form-filling with Al for error-free applications and higher claim acceptance rates.

?? Accident damage estimation for insurance companies using the CatBoost algorithm. ?? This advanced technique utilizes machine learning to provide accurate estimates for assessing damages caused by accidents. ?? Enhance efficiency and accuracy in insurance claim processes with the power of CatBoost! ??

Building a ML model to predict whether the customer will apply for the claim or not with deployment.