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Reading Between the Lines: Machine Learning Ensemble and Deep Learning for Implied Threat Detection in Textual Data
With the increase in the generation and spread of textual content on social media, natural language processing (NLP) has become an important area of...
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CommentClass: A Robust Ensemble Machine Learning Model for Comment Classification
Enormous amounts of data are generated in the form of feedback or comments from online platforms such as social media, e-commerce, education, and...
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ASR-Fed: agnostic straggler-resilient semi-asynchronous federated learning technique for secured drone network
Federated Learning (FL) has emerged as a transformative artificial intelligence paradigm, facilitating knowledge sharing among distributed edge...
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Imbalanced COVID-19 vaccine sentiment classification with synthetic resampling coupled deep adversarial active learning
Despite an abundance of scientific evidence supporting the effectiveness of COVID-19 vaccines, there has been a recent global surge in vaccine...
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A Multi-strategy Slime Mould Algorithm for Solving Global Optimization and Engineering Optimization Problems
Aiming at the problems of slow convergence, low accuracy, and easy to fall into local optimum of the slime mould algorithm (SMA), we propose an...
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Guiding the way: a comprehensive examination of AI guidelines in global media
With the increasing adoption of artificial intelligence (AI) technologies in the news industry, media organizations have begun publishing guidelines...
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Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels
Multi-label image recognition with partial labels (MLR-PL), in which some labels are known while others are unknown for each image, may greatly...
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Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective
Existing Out-of-Distribution (OoD) detection methods address to detect OoD samples from In-Distribution (InD) data mainly by exploring differences in...
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DUFormer: dual-channel image splicing detection based on anchor-shaped U-Net and stepwise transformer for power systems
The safe operation of intelligent power systems relies on the authenticity and integrity of image data. However, splicing-based image tampering, a...
