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A survey of ensemble learning: Concepts, algorithms, applications, and prospects
Ensemble learning techniques have achieved state-of-the-art performance in diverse
machine learning applications by combining the predictions from two or more base models …
machine learning applications by combining the predictions from two or more base models …
Deepfake audio detection via MFCC features using machine learning
Deepfake content is created or altered synthetically using artificial intelligence (AI)
approaches to appear real. It can include synthesizing audio, video, images, and text …
approaches to appear real. It can include synthesizing audio, video, images, and text …
A novel plagiarism detection approach combining bert-based word embedding, attention-based lstms and an improved differential evolution algorithm
Detecting plagiarism involves finding similar items in two different sources. In this article, we
propose a novel method for detecting plagiarism that is based on attention mechanism …
propose a novel method for detecting plagiarism that is based on attention mechanism …
Prediction and explanation of debris flow velocity based on multi-strategy fusion Stacking ensemble learning model
T Wang, K Zhang, Z Liu, T Ma, R Luo, H Chen… - Journal of …, 2024 - Elsevier
The debris flow velocity fundamentally determines its intensity, thereby rendering its
prediction a crucial aspect of disaster prevention and control strategies. However, accurate …
prediction a crucial aspect of disaster prevention and control strategies. However, accurate …
LSTM‐DGWO‐Based Sentiment Analysis Framework for Analyzing Online Customer Reviews
Sentiment analysis furnishes consumer concerns regarding products, enabling product
enhancement development. Existing sentiment analysis using machine learning techniques …
enhancement development. Existing sentiment analysis using machine learning techniques …
[HTML][HTML] Understanding writing style in social media with a supervised contrastively pre-trained transformer
Abstract We introduce the Style Transformer for Authorship Representations (STAR) to
detect and characterize writing style in social media. The model is trained on a …
detect and characterize writing style in social media. The model is trained on a …
[HTML][HTML] An ensemble learning model for predicting the intention to quit among employees using classification algorithms
Employees are often more likely to use social media for job searching, which sometimes
causes withdrawal behaviour. This study proposes an ensemble learning model for …
causes withdrawal behaviour. This study proposes an ensemble learning model for …
An efficient approach for textual data classification using deep learning
Text categorization is an effective activity that can be accomplished using a variety of
classification algorithms. In machine learning, the classifier is built by learning the features of …
classification algorithms. In machine learning, the classifier is built by learning the features of …
HANSEN: human and AI spoken text benchmark for authorship analysis
Authorship Analysis, also known as stylometry, has been an essential aspect of Natural
Language Processing (NLP) for a long time. Likewise, the recent advancement of Large …
Language Processing (NLP) for a long time. Likewise, the recent advancement of Large …
Super-resolution multimode fiber imaging with an untrained neural network
Multimode fiber endoscopes provide extreme miniaturization of imaging components for
minimally invasive deep tissue imaging. Typically, such fiber systems suffer from low spatial …
minimally invasive deep tissue imaging. Typically, such fiber systems suffer from low spatial …