Emr-merging: Tuning-free high-performance model merging

C Huang, P Ye, T Chen, T He, X Yue… - Advances in Neural …, 2025 - proceedings.neurips.cc
The success of pretrain-finetune paradigm brings about the release of numerous model
weights. In this case, merging models finetuned on different tasks to enable a single model …

Deep learning for food image recognition and nutrition analysis towards chronic diseases monitoring: A systematic review

M Mansouri, S Benabdellah Chaouni… - SN Computer …, 2023 - Springer
The management of daily food intake aids to preserve a healthy body, minimize the risk of
many diseases, and monitor chronic diseases, such as diabetes and heart problems. To …

Using bert to extract topic-independent sentiment features for social media bot detection

M Heidari, JH Jones - 2020 11th IEEE annual ubiquitous …, 2020 - ieeexplore.ieee.org
Millions of online posts about different topics and products are shared on popular social
media platforms. One use of this content is to provide crowd-sourced information about a …

Isia food-500: A dataset for large-scale food recognition via stacked global-local attention network

W Min, L Liu, Z Wang, Z Luo, X Wei, X Wei… - Proceedings of the 28th …, 2020 - dl.acm.org
Food recognition has received more and more attention in the multimedia community for its
various real-world applications, such as diet management and self-service restaurants. A …

Using social media analysis to study population dietary behaviours: A sco** review

J Titova, G Cottis… - Journal of Human …, 2023 - Wiley Online Library
Background The rapid adoption and sustained use of social media globally has provided
researchers with access to unprecedented quantities of low‐latency data at minimal costs …

Evaluating machine learning technologies for food computing from a data set perspective

NU Gilal, K Al-Thelaya, JK Al-Saeed… - Multimedia Tools and …, 2024 - Springer
Food plays an important role in our lives that goes beyond mere sustenance. Food affects
behavior, mood, and social life. It has recently become an important focus of multimedia and …

[HTML][HTML] mid-deeplabv3+: A novel approach for image semantic segmentation applied to african food dietary assessments

TR Baban A Erep, L Chaari - Sensors, 2023 - mdpi.com
Recent decades have witnessed the development of vision-based dietary assessment
(VBDA) systems. These systems generally consist of three main stages: food image …

[HTML][HTML] Monitoring information-seeking patterns and obesity prevalence in Africa with internet search data: observational study

O Oladeji, C Zhang, T Moradi… - JMIR public health …, 2021 - publichealth.jmir.org
Background: The prevalence of chronic conditions such as obesity, hypertension, and
diabetes is increasing in African countries. Many chronic diseases have been linked to risk …

[HTML][HTML] A Coarse-to-Fine Feature Aggregation Neural Network with a Boundary-Aware Module for Accurate Food Recognition

S Liang, Y Gu - Foods, 2025 - mdpi.com
Food recognition from images is crucial for dietary management, enabling applications like
automated meal tracking and personalized nutrition planning. However, challenges such as …

[HTML][HTML] Ghost protocol–Snapchat as a method of surveillance

R Matthews, K Lovell, M Sorell - Forensic Science International: Digital …, 2021 - Elsevier
Abstract Social Networking Sites (SNS) are a rich source of open-source intelligence in the
form of publicly available images, video and text. Privacy concerns have led to many sites …