Machine learning for multimodal mental health detection: a systematic review of passive sensing approaches

LS Khoo, MK Lim, CY Chong, R McNaney - Sensors, 2024 - mdpi.com
As mental health (MH) disorders become increasingly prevalent, their multifaceted
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …

Swift detection of xss attacks: Enhancing xss attack detection by leveraging hybrid semantic embeddings and ai techniques

R Bakır, H Bakır - Arabian Journal for Science and Engineering, 2024 - Springer
Abstract Cross-Site Scripting (XSS) attacks continue to be a significant threat to web
application security, necessitating robust detection mechanisms to safeguard user data and …

Detection of conspiracy propagators using psycho-linguistic characteristics

A Giachanou, B Ghanem… - Journal of Information …, 2023 - journals.sagepub.com
The rise of social media has offered a fast and easy way for the propagation of conspiracy
theories and other types of disinformation. Despite the research attention that has received …

Towards artificial intelligence augmenting facilitation: AI affordances in macro-task crowdsourcing

H Gimpel, V Graf-Seyfried, R Laubacher… - Group decision and …, 2023 - Springer
Crowdsourcing holds great potential: macro-task crowdsourcing can, for example, contribute
to work addressing climate change. Macro-task crowdsourcing aims to use the wisdom of a …

Disclosing corporate diversity

AO Adediran - Va. L. Rev., 2023 - HeinOnline
Since 2020, diversity has become a central concern for companies and their leaders,
prompting more companies to voluntarily incorporate diversity into their Environmental …

Using large language models for natural language processing tasks in requirements engineering: A systematic guideline

A Vogelsang, J Fischbach - arxiv preprint arxiv:2402.13823, 2024 - arxiv.org
Large Language Models (LLMs) are the cornerstone in automating Requirements
Engineering (RE) tasks, underpinning recent advancements in the field. Their pre-trained …

Semantic Sentiment Classification for COVID‐19 Tweets Using Universal Sentence Encoder

IE Fattoh, F Kamal Alsheref, WM Ead… - Computational …, 2022 - Wiley Online Library
The spread of data on the web has increased in the last twenty years. One of the reasons is
the appearance of social media. The data on social sites describe many real‐life events in …

A survey on knowledge-enhanced multimodal learning

M Lymperaiou, G Stamou - Artificial Intelligence Review, 2024 - Springer
Multimodal learning has been a field of increasing interest, aiming to combine various
modalities in a single joint representation. Especially in the area of visiolinguistic (VL) …

SimAC: simulating agile collaboration to generate acceptance criteria in user story elaboration

Y Li, J Keung, Z Yang, X Ma, J Zhang, S Liu - Automated Software …, 2024 - Springer
In agile requirements engineering, Generating Acceptance Criteria (GAC) to elaborate user
stories plays a pivotal role in the sprint planning phase, which provides a reference for …

Remote sensing image colorization using symmetrical multi-scale DCGAN in YUV color space

M Wu, X **, Q Jiang, S Lee, W Liang, G Lin, S Yao - The Visual Computer, 2021 - Springer
Image colorization technique is used to colorize the gray-level image or single-channel
image, which is a very significant and challenging task in image processing, especially the …