GitHub

DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection (NeurIPS 2023 D&B)

Welcome to DeepfakeBench, your one-stop solution for deepfake detection! Here are some key features of our platform: Unified Platform: DeepfakeBench presents the first comprehensive benchmark for ...
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Sophelio Launches Data Fusion Labeler (dFL) to Accelerate Sensor Data Preparation for Machine Learning

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization ...
IEEE

Hyperspectral Data Preprocessing Algorithm Using Vegetation Indices for a Convolutional Neural Network

Abstract: This paper addresses the issues of developing and optimizing preprocessing algorithms for hyperspectral data using vegetation indices (VIs) to train convolutional neural network (CNN) ...
GitHub

chhornsolita/Sentiment_Analysis_of_Khmer_Text_Using_ML

The project explores multiple machine learning approaches including traditional ML models (Logistic Regression, SVM, Naive Bayes) and ensemble methods (Random Forest, XGBoost, Voting Classifier).
IEEE

Impact of Data Preprocessing on Machine Learning Classification Metrics

Abstract: Data preparation is essential for boosting machine learning model's performance by increasing data quality and lowering noise. This study evaluates the impact of preprocessing on key ...