Implementation of the paper Identifying Mislabeled Data using the Area Under the Margin Ranking: https://arxiv.org/pdf/2001.10528v2.pdf
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Updated
Feb 6, 2020 - Jupyter Notebook
Implementation of the paper Identifying Mislabeled Data using the Area Under the Margin Ranking: https://arxiv.org/pdf/2001.10528v2.pdf
A collection of algorithms for detecting and handling label noise
A Java program that removes ambient noise from an audio file
Code basis for the paper "Real-time Noise Source Estimation of a Camera System from an Image and Metadata" (Advanced Intelligent Systems, 2024)
Data Science
Framework for P300 wave detection and noise-based cyberattacks in Brain-Computer Interfaces - Enrique Tomás Martínez Beltrán
An online examination monitoring system employing YOLOv8, along with various other deep learning and machine learning approaches, centered around computer vision.
Implementation of a sound detector that measures ambient sound in the environment and alerts you if the noise levels are disturbing so an apt action could be taken by you. Live results are also sent to an IoT cloud platform.
Synthesis Image Noise Detection on Distributed Data : A web app to collect data on noise detection by humans on images.
Implements the CAIRAD techique for detecting noisy values in a dataset for Weka
FonGuard turns your phone into a sentinel watching out for intruders and reporting any suspect motion, noise or vibration in real time.
A Density-based spatial clustering of applications with noise implementation to C-languange
Trabalhos desenvolvidos para a disciplina Sistemas de Recomendação do curso de Ciência da Computação da UFRRJ. Estes trabalhos realizam uma análise de técnicas de recomendação que utilizam filtragem colaborativa.
Smart safety helmet for large scale construction sites
Environment noise grading and using it to manage deep learning models for higher accuracy classification/detection.
An implementation of OPTICS Algorithm
micko, the unapologetic microphone volume monitor.
An implemantion of LOF Algorithm to C-lang.
Personal implementation of the paper "A two-stage ensemble method for the detection of class-label noise"
Synthesis Images noise detection metrics developed including all approaches using SVD or others compression methods
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