Warning lists to inform users of MISP about potential false-positives or other information in indicators
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Updated
Nov 4, 2024 - Python
Warning lists to inform users of MISP about potential false-positives or other information in indicators
Contacts for VirusTotal scanners
Adds code action handlers for ltex-ls like: addToDictionary, disableRule, hideFalsePositive
[IJHCS] UTA7: a dataset of rates (BI-RADS) provided by clinicians resulted from classifying the given medical images for breast cancer diagnosis.
Understanding of use of mAP as a metric for Objects Detection problems
RNAchallenge dataset for the classification of protein-coding and non-coding RNAs
This script it's used to disable the attribute 'to_ids' on MISP events, features removal of the IDS tag on old events or based on Reputational datasets results.
"Publication bias and the canonization of false facts" published in eLife (2016)
Tool to perform simple analytical evaluations on a network using RIDs (i.e. Bloom Filters) for packet forwarding.
Notícia Chique (NC) é Um projeto de site feito em grupo pode envolver diversos desafios e aprendizados valiosos para os envolvidos. No caso do site de notícias sobre "fake news".
Numerical methods programs solution.
Proof of concept of a false-positive-based anti SYN scan
RMarkdown file showing an example of using the Random Forest algorithm to examine Weather Data
Interactive Tool for Interpreting positive COVID-19 antibody tests
Machine learning model to predict churn of credit card customers. Demonstration of novel XGBoost configuration for noisy, imbalanced data.
Implementations of methods for online (sequential) multiple hypothesis testing.
DeFP
With a precision of 86% and model's CAP curve showing an accuracy of 100%! This means it is capable of correctly predicting 100% of patients with a heart disease after processing 50% of the data. The model's performance is "Too Good to be True"! However, with Train accuracy = 86% and Test accuracy = 82%, there is no visible sign of overfitting.
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