AIMC Topic: Crowdsourcing

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Efficient crowdsourcing of crowd-generated microtasks.

PloS one Dec 17, 2020
Allowing members of the crowd to propose novel microtasks for one another is an effective way to combine the efficiencies of traditional microtask work with the inventiveness and hypothesis generation potential of human workers. However, microtask pr...
Crowdsourcing Computer Simulation Task Performance and Analysis Problem Solving Humans Machine Learning Algorithms
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Human Sentiment and Activity Recognition in Disaster Situations Using Social Media Images Based on Deep Learning.

Sensors (Basel, Switzerland) Dec 11, 2020
A rapidly increasing growth of social networks and the propensity of users to communicate their physical activities, thoughts, expressions, and viewpoints in text, visual, and audio material have opened up new possibilities and opportunities in senti...
Human Activities Crowdsourcing Disasters Social Networking Humans Deep Learning Social Media
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State-Transition Modeling of Human-Robot Interaction for Easy Crowdsourced Robot Control.

Sensors (Basel, Switzerland) Nov 15, 2020
Robotic salespeople are often ignored by people due to their weak social presence, and thus have difficulty facilitating sales autonomously. However, for robots that are remotely controlled by humans, there is a need for experienced and trained opera...
Consumer Behavior Commerce Crowdsourcing Humans User-Computer Interface Robotics
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Citation screening using crowdsourcing and machine learning produced accurate results: Evaluation of Cochrane's modified Screen4Me service.

Journal of clinical epidemiology Sep 30, 2020
OBJECTIVES: To assess the feasibility of a modified workflow that uses machine learning and crowdsourcing to identify studies for potential inclusion in a systematic review.
Biomedical Research Machine Learning Randomized Controlled Trials as Topic Humans Algorithms Systematic Reviews as Topic Research Design Data Collection Data Accuracy Crowdsourcing
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Assessing Public Opinion on CRISPR-Cas9: Combining Crowdsourcing and Deep Learning.

Journal of medical Internet research Aug 31, 2020
BACKGROUND: The discovery of the CRISPR-Cas9-based gene editing method has opened unprecedented new potential for biological and medical engineering, sparking a growing public debate on both the potential and dangers of CRISPR applications. Given the...
Humans Deep Learning CRISPR-Cas Systems Public Opinion Crowdsourcing
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Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics.

Cell systems Jul 24, 2020
Cancer is driven by genomic alterations, but the processes causing this disease are largely performed by proteins. However, proteins are harder and more expensive to measure than genes and transcripts. To catalyze developments of methods to infer pro...
Neoplasms Transcriptome Genomics Machine Learning Female Male Crowdsourcing Proteomics Proteins Phosphoproteins Humans
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Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study.

Journal of medical Internet research Jun 30, 2020
BACKGROUND: Tinnitus is often described as the phantom perception of a sound and is experienced by 5.1% to 42.7% of the population worldwide, at least once during their lifetime. The symptoms often reduce the patient's quality of life. The TrackYourT...
Telemedicine Tinnitus Crowdsourcing Surveys and Questionnaires Humans Longitudinal Studies Male Machine Learning Quality of Life Female
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Multi-Institutional Assessment and Crowdsourcing Evaluation of Deep Learning for Automated Classification of Breast Density.

Journal of the American College of Radiology : JACR Jun 24, 2020
OBJECTIVE: We developed deep learning algorithms to automatically assess BI-RADS breast density.
Breast Neoplasms Deep Learning Mammography Crowdsourcing Breast Density Humans Artificial Intelligence Female
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DDBJ Data Analysis Challenge: a machine learning competition to predict Arabidopsis chromatin feature annotations from DNA sequences.

Genes & genetic systems Mar 26, 2020
Recently, the prospect of applying machine learning tools for automating the process of annotation analysis of large-scale sequences from next-generation sequencers has raised the interest of researchers. However, finding research collaborators with ...
Genome, Plant Arabidopsis Chromatin Machine Learning Molecular Sequence Annotation Computational Biology Data Analysis Crowdsourcing Japan Databases, Nucleic Acid High-Throughput Nucleotide Sequencing
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Machine learning-based motor assessment of Parkinson's disease using postural sway, gait and lifestyle features on crowdsourced smartphone data.

Biomedical physics & engineering express Mar 4, 2020
OBJECTIVES: Remote assessment of gait in patients' homes has become a valuable tool for monitoring the progression of Parkinson's disease (PD). However, these measurements are often not as accurate or reliable as clinical evaluations because it is ch...
Parkinson Disease Area Under Curve Postural Balance Remote Sensing Technology Walking Gait Wearable Electronic Devices Smartphone Posture Middle Aged Disease Progression Diagnosis, Computer-Assisted Reproducibility of Results Motor Skills Aged Crowdsourcing Humans Tremor Pattern Recognition, Automated Machine Learning Accelerometry Female Life Style Male
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