Short-text semantic similarity (stss): Techniques, challenges and future perspectives

ZH Amur, Y Kwang Hooi, H Bhanbhro, K Dahri… - Applied Sciences, 2023 - mdpi.com
In natural language processing, short-text semantic similarity (STSS) is a very prominent
field. It has a significant impact on a broad range of applications, such as question …

Fairvfl: A fair vertical federated learning framework with contrastive adversarial learning

T Qi, F Wu, C Wu, L Lyu, T Xu, H Liao… - Advances in neural …, 2022 - proceedings.neurips.cc
Vertical federated learning (VFL) is a privacy-preserving machine learning paradigm that
can learn models from features distributed on different platforms in a privacy-preserving way …

Gender classification using sentiment analysis and deep learning in a health web forum

S Park, J Woo - Applied Sciences, 2019 - mdpi.com
Featured Application This work can be applied to detect the gender of online users who do
not disclose this information. Abstract Sentiment analysis is the most common text …

Big data analytics for critical information classification in online social networks using classifier chains

DH Silva, EG Maziero, M Saadi, RL Rosa… - Peer-to-Peer Networking …, 2022 - Springer
Industrial and academic organizations are using online social network (OSN) for different
purposes, such as social and economic aspects. Now, OSN is a new mean of obtaining …

Gender Detection in Video Streams: A Deep Learning Approach for Ethical and Practical Applications

A Kaur, N Kanwal, M Kumar… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
Gender detection assumes a vital role in different spaces, including security, promotion,
medical care, and the human-PC connection. This examination paper presents a strong …

Prediction of Sexually Transmitted Diseases Using Deep Convolutional Neural Networks for Image Data

AI Mahameed, RK Mahmood - … Networks and Sustainability in the AIoT …, 2024 - Springer
This study uses deep convolutional neural networks to build an STD prediction decision
assistance system. Since conventional STD prevention strategies have failed in poor …