Results 131 to 140 of about 52,603 (333)

A crowdsourcing evaluation of the NIH chemical probes [PDF]

, 2009
Tudor I. Oprea, Cristian Bologa, Scott Boyer, Ramona Curpăn, Robert C. Glen, Andrew L. Hopkins, Christopher A. Lipinski, Garland R. Marshall, Yvonne C. Martin, Liliana Halip, Gilbert M. Rishton, Oleg Ursu, Roy J. Vaz, Chris Waller, Herbert Waldmann, Larry A. Sklar   +15 more
openalex   +1 more source

Sustainability in Radiology: Position Paper and Call to Action From ACR, AOSR, ASR, CAR, CIR, ESR, ESRNM, ISR, IS3R, RANZCR, and RSNA

Journal of Medical Imaging and Radiation Oncology, EarlyView.
ABSTRACT The urgency for climate action is recognised by international government and healthcare organisations, including the United Nations (UN) and World Health Organisation (WHO). Climate change, biodiversity loss, and pollution negatively impact all life on earth. All populations are impacted but not equally; the most vulnerable are at highest risk,
Andrea G. Rockall, Bibb Allen, Maura J. Brown, Tarek El‐Diasty, Jan Fletcher, Rachel F. Gerson, Stacy Goergen, Amanda P. Marrero González, Thomas M. Grist, Kate Hanneman, Christopher P. Hess, Evelyn Lai Ming Ho, Dina H. Salama, Julia Schoen, Sarah Sheard   +14 more
wiley   +1 more source

Before and Beyond Anticipatory Intelligence: Assessing the Potential for Crowdsourcing and Intelligence Studies

Journal of Strategic Security, 2015
Crowdsourcing is a new tool for businesses, academics, and now intelligence analysts. Enabled by recent technology, crowdsourcing allows researchers to harness the wisdom of crowds and provide recommendations and insight into complex problems. This paper
Alexander Halman
doaj   +1 more source

Data quality from crowdsourcing [PDF]

, 2009
Pei-Yun Hsueh, Prem Melville, Vikas Sindhwani   +2 more
openalex   +1 more source

Cooperative learning of Pl@ntNet's Artificial Intelligence algorithm: How does it work and how can we improve it?

Methods in Ecology and Evolution, EarlyView.
Abstract Deep learning models for plant species identification rely on large annotated datasets. The Pl@ntNet system enables global data collection by allowing users to upload and annotate plant observations, leading to noisy labels due to diverse user skills.
Tanguy Lefort, Antoine Affouard, Benjamin Charlier, Jean‐Christophe Lombardo, Mathias Chouet, Hervé Goëau, Joseph Salmon, Pierre Bonnet, Alexis Joly   +8 more
wiley   +1 more source

Red Box, Green Box: Psychometric evaluation of a self‐report behavioral frequency measurement approach for behavioral addictions research

Addiction, EarlyView.
Abstract Aims The behavioral addictions field lacks clinically useful behavior frequency measures. This study evaluated the psychometric performance of the new ‘Red Box, Green Box’ method for measuring gaming behavior with a focus on its utility for gaming disorder (GD) screening.
Matthew W. R. Stevens, Marcela Radünz, Christina Galanis, Blake Quinney, Ian Zajac, Joël Billieux, Paul H. Delfabbro, Daniel L. King   +7 more
wiley   +1 more source

How reliable are annotations via crowdsourcing [PDF]

, 2010
Stefanie Nowak, Stefan Rüger
openalex   +1 more source

Impact of Production‐ and Consumption‐Oriented Interventions on Crop Varietal Adoption: Cluster‐Randomized Controlled Trial Evidence From Northern Nigeria

Agricultural Economics, EarlyView.
ABSTRACT This paper evaluates the impact of three interventions (seed trial packs, consumption‐oriented interventions, and agricultural training, either individually or bundled) in improving varietal turnover in northern Nigeria via a 3‐year cluster‐randomized controlled trial.
Catherine Ragasa, Oyakhilomen Oyinbo, Ning Ma   +2 more
wiley   +1 more source

Shirky and Sanger, or the costs of crowdsourcing [PDF]

, 2010
Mathieu O’Neil
openalex   +1 more source

Can norm‐based information campaigns reduce corruption?

American Journal of Political Science, EarlyView.
Abstract Can norm‐based information campaigns reduce corruption? Such campaigns use messaging about how people typically behave (descriptive norms) or ought to behave (injunctive norms). Drawing on survey and lab experiments in Ukraine, we unpack and evaluate the distinct effects of these two types of social norms.
Aaron Erlich, Jordan Gans‐Morse
wiley   +1 more source