AIMC Topic: Crowdsourcing

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Crowd of Oz: A Crowd-Powered Social Robotics System for Stress Management.

Sensors (Basel, Switzerland) Jan 20, 2020
Coping with stress is crucial for a healthy lifestyle. In the past, a great deal of research has been conducted to use socially assistive robots as a therapy to alleviate stress and anxiety related problems. However, building a fully autonomous socia...
Humans Algorithms Robotics Psychotherapy Man-Machine Systems Crowdsourcing Communication Speech Stress, Psychological
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EternaBrain: Automated RNA design through move sets and strategies from an Internet-scale RNA videogame.

PLoS computational biology Jun 27, 2019
Emerging RNA-based approaches to disease detection and gene therapy require RNA sequences that fold into specific base-pairing patterns, but computational algorithms generally remain inadequate for these secondary structure design tasks. The Eterna p...
Genetic Engineering Nucleic Acid Conformation Crowdsourcing Video Games Humans Neural Networks, Computer Algorithms Sequence Analysis, RNA Internet RNA
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Distant supervision for treatment relation extraction by leveraging MeSH subheadings.

Artificial intelligence in medicine Jun 7, 2019
The growing body of knowledge in biomedicine is too vast for human consumption. Hence there is a need for automated systems able to navigate and distill the emerging wealth of information. One fundamental task to that end is relation extraction, wher...
Humans Area Under Curve Supervised Machine Learning Abstracting and Indexing Medical Subject Headings Crowdsourcing PubMed Data Mining Semantics
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Integrating camera imagery, crowdsourcing, and deep learning to improve high-frequency automated monitoring of snow at continental-to-global scales.

PloS one Dec 27, 2018
Snow is important for local to global climate and surface hydrology, but spatial and temporal heterogeneity in the extent of snow cover make accurate, fine-scale mapping and monitoring of snow an enormous challenge. We took 184,453 daily near-surface...
Deep Learning Crowdsourcing Snow Satellite Imagery Humans Reproducibility of Results Sensitivity and Specificity
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Crowdsourcing image analysis for plant phenomics to generate ground truth data for machine learning.

PLoS computational biology Jul 30, 2018
The accuracy of machine learning tasks critically depends on high quality ground truth data. Therefore, in many cases, producing good ground truth data typically involves trained professionals; however, this can be costly in time, effort, and money. ...
Image Processing, Computer-Assisted Internet Data Accuracy Algorithms Phenotype Pilot Projects Crops, Agricultural Food Supply Crowdsourcing Humans Machine Learning
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OC-2-KB: integrating crowdsourcing into an obesity and cancer knowledge base curation system.

BMC medical informatics and decision making Jul 23, 2018
BACKGROUND: There is strong scientific evidence linking obesity and overweight to the risk of various cancers and to cancer survivorship. Nevertheless, the existing online information about the relationship between obesity and cancer is poorly organi...
Semantics Evidence-Based Medicine Data Curation Crowdsourcing PubMed Knowledge Bases Information Storage and Retrieval Software Neoplasms Obesity Humans Machine Learning
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Hybrid Semantic Analysis for Mapping Adverse Drug Reaction Mentions in Tweets to Medical Terminology.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Social networks, such as Twitter, have become important sources for active monitoring of user-reported adverse drug reactions (ADRs). Automatic extraction of ADR information can be crucial for healthcare providers, drug manufacturers, and consumers. ...
Pharmacovigilance Information Storage and Retrieval Semantics Terminology as Topic Unified Medical Language System Crowdsourcing Social Media Natural Language Processing Drug-Related Side Effects and Adverse Reactions Humans Software Algorithms
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Crowdsourcing dermatology: DataDerm, big data analytics, and machine learning technology.

Journal of the American Academy of Dermatology Oct 15, 2017
Humans Machine Learning Databases, Factual Electronic Health Records Dermatology Crowdsourcing
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Crowdsourced validation of a machine-learning classification system for autism and ADHD.

Translational psychiatry May 16, 2017
Autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) together affect >10% of the children in the United States, but considerable behavioral overlaps between the two disorders can often complicate differential diagnosis. ...
Crowdsourcing Attention Deficit Disorder with Hyperactivity Child Behavior United States Diagnosis, Differential Autistic Disorder Adolescent Child, Preschool Child Humans Female Male Risk Assessment Machine Learning Algorithms Autism Spectrum Disorder
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Refining Automatically Extracted Knowledge Bases Using Crowdsourcing.

Computational intelligence and neuroscience May 14, 2017
Machine-constructed knowledge bases often contain noisy and inaccurate facts. There exists significant work in developing automated algorithms for knowledge base refinement. Automated approaches improve the quality of knowledge bases but are far from...
Semantics Crowdsourcing Algorithms Knowledge Bases Automation
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