AIMC Topic: Crowdsourcing

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Aggregating soft labels from crowd annotations improves uncertainty estimation under distribution shift.

PloS one Jun 9, 2025
Selecting an effective training signal for machine learning tasks is difficult: expert annotations are expensive, and crowd-sourced annotations may not be reliable. Recent work has demonstrated that learning from a distribution over labels acquired f...
Algorithms Crowdsourcing Uncertainty Humans Machine Learning
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AI-imputed and crowdsourced price data show strong agreement with traditional price surveys in data-scarce environments.

PloS one Apr 8, 2025
Continuous access to up-to-date food price data is crucial for monitoring food security and responding swiftly to emerging risks. However, in many food-insecure countries, price data is often delayed, lacks spatial detail, or is unavailable during cr...
Crowdsourcing Food Security Surveys and Questionnaires Food Supply Nigeria Commerce Zea mays Oryza Humans Artificial Intelligence COVID-19
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Impact of Image Content on Medical Crowdfunding Success: A Machine Learning Approach.

Journal of medical Internet research Nov 15, 2024
BACKGROUND: As crowdfunding sites proliferate, visual content often serves as the initial bridge connecting a project to its potential backers, underscoring the importance of image selection in effectively engaging an audience.
Machine Learning Neoplasms Crowdsourcing Humans Fund Raising
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Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative.

EBioMedicine Sep 24, 2024
BACKGROUND: While many patients seem to recover from SARS-CoV-2 infections, many patients report experiencing SARS-CoV-2 symptoms for weeks or months after their acute COVID-19 ends, even developing new symptoms weeks after infection. These long-term...
United States Post-Acute COVID-19 Syndrome SARS-CoV-2 Cohort Studies Crowdsourcing Humans Machine Learning COVID-19 Algorithms
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Machine learning surveillance of foodborne infectious diseases using wastewater microbiome, crowdsourced, and environmental data.

Water research Aug 21, 2024
Clostridium perfringens (CP) is a common cause of foodborne infection, leading to significant human health risks and a high economic burden. Thus, effective CP disease surveillance is essential for preventive and therapeutic interventions; however, c...
Clostridium perfringens Crowdsourcing Foodborne Diseases Microbiota Machine Learning Humans Wastewater
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Boosting wisdom of the crowd for medical image annotation using training performance and task features.

Cognitive research: principles and implications May 20, 2024
A crucial bottleneck in medical artificial intelligence (AI) is high-quality labeled medical datasets. In this paper, we test a large variety of wisdom of the crowd algorithms to label medical images that were initially classified by individuals recr...
Bayes Theorem Humans Algorithms Crowdsourcing Adult Artificial Intelligence
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Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.

Scientific reports Jan 23, 2024
Polyps are well-known cancer precursors identified by colonoscopy. However, variability in their size, appearance, and location makes the detection of polyps challenging. Moreover, colonoscopy surveillance and removal of polyps are highly operator-de...
Colonoscopy Deep Learning Crowdsourcing Polyps Humans Computers
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Crowdsourcing image segmentation for deep learning: integrated platform for citizen science, paid microtask, and gamification.

Biomedizinische Technik. Biomedical engineering Dec 26, 2023
OBJECTIVES: Segmentation is crucial in medical imaging. Deep learning based on convolutional neural networks showed promising results. However, the absence of large-scale datasets and a high degree of inter- and intra-observer variations pose a bottl...
Crowdsourcing Citizen Science Neural Networks, Computer Humans Deep Learning Image Processing, Computer-Assisted
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Crowd-Sourced Deep Learning for Intracranial Hemorrhage Identification: Wisdom of Crowds or Laissez-Faire.

AJNR. American journal of neuroradiology Jun 8, 2023
BACKGROUND AND PURPOSE: Researchers and clinical radiology practices are increasingly faced with the task of selecting the most accurate artificial intelligence tools from an ever-expanding range. In this study, we sought to test the utility of ensem...
Deep Learning Intracranial Hemorrhages Artificial Intelligence Humans Retrospective Studies Crowdsourcing
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The Natural Robotics Contest: crowdsourced biomimetic design.

Bioinspiration & biomimetics Mar 22, 2023
Biomimetic and bioinspired design is not only a potent resource for roboticists looking to develop robust engineering systems or understand the natural world. It is also a uniquely accessible entry point into science and technology. Every person on E...
Biomimetics Plastics Behavior, Animal Equipment Design Animals Crowdsourcing Robotics
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