A Bayesian Framework for Reputation in Citizen Science

A Bayesian Framework for Reputation in Citizen Science

Proceedings of the Second Workshop on Data Science for Social Good co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Dicovery in Databases (ECML-PKDD 2017), 18 September 2017, Skopje, Macedonia.—18 pages, 6 figures, 8 tables

Saved in:

Bibliographic Details
Main Authors:	Garriga, Joan, Piera, Jaume, Bartumeus, Frederic
Other Authors:	Ministerio de Economía y Competitividad (España)
Format:	comunicación de congreso biblioteca
Language:	English
Published:	CEUR Workshop Proceedings 2017
Subjects:	Reputation system, Bayesian networks, Citizen science,
Online Access:	http://hdl.handle.net/10261/157884 http://dx.doi.org/10.13039/501100003329
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Global invasion history of the agricultural pest butterfly Pieris rapae revealed with genomics and citizen science
by: Ryan, Sean F., et al.
Published: (2019-10-01)

The Political Economy of Citizen Security: A Conceptual Framework
by: Inter-American Development Bank

A Bayesian network to simulate macroinvertebrate responses to multiple stressors in lowland streams
by: de Vries, Jip, et al.

Designing optimal food safety monitoring schemes using Bayesian network and Integer programming: the case of dioxins and DL-PCBs monitoring
by: Wang, Zhengcong, et al.

Application of Bayesian networks for hazard ranking of nanomaterials to support human health risk assessment
by: Marvin, H.J.P., et al.

Application of Bayesian networks for hazard ranking of nanomaterials to support human health risk assessment
by: Marvin, Hans J.P., et al.

Reputation management in agro-food industries: safety first
by: van Woerkum, C.M.J., et al.

Applying Bayesian belief networks (BBNs) with stakeholders to explore and codesign options for water resource interventions
by: Singto, Chakaphon, et al.

Designing optimal food safety monitoring schemes using Bayesian network and integer programming : The case of monitoring dioxins and DL-PCBs
by: Wang, Z., et al.

Do Dutch farmers invest in expansion despite increased policy uncertainty? A participatory Bayesian network approach
by: Yanore, Lotte, et al.

A comparison of two sensitivity analysis techniques based on four bayesian models representing ecosystem services provision in the Argentine Pampas
by: Rositano, Florencia, et al.

Weighted Bayesian network for the classification of unbalanced food safety data : Case study of risk-based monitoring of heavy metals
by: Wang, Xinxin, et al.

Bayesian methods : a social and behavioral sciences approach /
by: Gill, Jeff
Published: (2002)

Impact of drivers of change, including climatic factors, on the occurrence of chemical food safety hazards in fruits and vegetables : A Bayesian Network approach
by: Bouzembrak, Yamine, et al.

Getting Practical with Causal Mechanisms
by: Raimondo, Estelle
Published: (2020-10-06)

Using General linear model, Bayesian networks and Naive Bayes classifier for prediction of Karenia selliformis occurrences and blooms.
by: Feki-Sahnoun, Wafa, et al.
Published: (2018)

Unraveling the combined effects of sociopolitical and climate change scenarios for an artisanal small-scale fishery in the Western Mediterranean
by: Rambo, Henrike, et al.
Published: (2022)

Participatory Development and Analysis of a Fuzzy Cognitive Map of the Establishment of a Bio-Based Economy in the Humber Region.
by: Penn, A.S., et al.

Application of machine learning to the monitoring and prediction of food safety : A review
by: Wang, Xinxin, et al.

Food fraud data based on the European Rapid Alert System for Food and Feed (RASFF)
by: Hoenderdaal, Wouter

Genome-enabled prediction of genetic values using radial basis function neural networks
by: González-Camacho, J.M., et al.
Published: (2012)

Evaluating the effects of climate change and chemical, physical, and biological stressors on nearshore coral reefs : A case study in the Great Barrier Reef, Australia
by: Mentzel, Sophie, et al.

Bayesian modelling of phosphorus content in wheat grain using hyperspectral reflectance data
by: Pacheco Gil, R.A., et al.
Published: (2023)

Bayesian functional regression as an alternative statistical analysis of high‑throughput phenotyping data of modern agriculture
by: Montesinos-Lopez, A., et al.
Published: (2018)

Speckle noise and soil heterogeneities as error sources in a bayesian soil moisture retrieval scheme for SAR data
by: Barber, Matías, et al.

Application of Fuzzy Cognitive Mapping in Livelihood Vulnerability Analysis
by: Murungweni, C., et al.

Predicting Nitrogen Excretion of Dairy Cattle with Machine Learning
by: Mollenhorst, Herman, et al.

Integrating climate model projections into environmental risk assessment : A probabilistic modeling approach
by: Moe, S.J., et al.

A system approach towards prediction of food safety hazards : Impact of climate and agrichemical use on the occurrence of food safety hazards
by: Marvin, Hans J.P., et al.

Communicating the fair trade message: the roles of reputation and fit
by: Bartels, Jos, et al.

Scientific reasoning : the Bayesian approach /
by: Howson, Colin
Published: (1993)

Bayesian regularized quantile regression: a robust alternative for genome-based prediction of skewed data
by: Perez-Rodriguez, P., et al.
Published: (2020)

A Bayesian decision theory approach for genomic selection
by: Villar-Hernandez, B.d.J., et al.
Published: (2018)

Multi-omic data integration for the study of production, carcass, and meat quality traits in Nellore cattle.
by: NOVAIS, F. J. DE, et al.
Published: (2022-11-17)

A singular value decomposition Bayesian multiple-trait and multiple-environment genomic model
by: Montesinos-Lopez, O.A., et al.
Published: (2019)

The impact of perceived CSR on corporate reputation and purchase intention
by: Bianchi, Enrique Carlos, et al.
Published: (2019)

Pricing Dynamics of Network Utilities in Developing Countries
by: Chisari, Omar, et al.
Published: (2009)

Analysis of a gaussian process and feed-forward neural networks based filter for forecasting short rainfall time series
by: Rodriguez Rivero, C., et al.
Published: (2013)

BGLRR - Bayesian Generalized Linear Regression in R. V 2.1
by: Rodríguez, Francisco, et al.
Published: (2017)

A general Bayesian estimation method of linear-bilinear models applied to plant breeding trials with genotype × environment interaction
by: Pérez-Elizalde, S., et al.
Published: (2012)

Resource Map