Automated video analysis for social science research

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Veröffentlicht in:Handbook of computational social science ; Volume 2: Data science, statistical modelling, and machine learning methods
1. Verfasser: Nyhuis, Dominic (VerfasserIn)
Weitere Verfasser: Ringwald, Tobias (VerfasserIn), Rittmann, Oliver (VerfasserIn), Gschwend, Thomas (VerfasserIn), Stiefelhagen, Rainer (VerfasserIn)
Pages:2
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2022
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Titel Jahr Verfasser
Application Programming Interfaces and web data for social research 2022 Nyhuis, Dominic
Analyzing data streams for social scientists 2022 Ippel, Lianne
Handling missing data in large database 2022 Spieß, Martin
Reproducibility and principled data processing 2022 McLevey, John
Agent-based modelling for cultural networks : tagging by artifical intelligent cultural agents 2022 Sancho-Caparrini, Fernando
Disaggregation via gaussian regression for robust analysis of heterogeneous data 2022 Alipourfard, Nazanin
Crowdsourcing in observational and experimental research 2022 Zallot, Camilla
Unsupervised methods : clustering methods 2022 Bacher, Johann
Automated video analysis for social science research 2022 Nyhuis, Dominic
Web data mining : collecting textual data from web pages using R 2022 Bosse, Stefan
Large-scale agent-based simulation and crowd sensing with mobile agents 2022 Bosse, Stefan
Introduction to the Handbook of Computational Social Science 2022 Engel, Uwe
A primer on probabilistic record linkage 2022 Enamorado, Ted
Inference from probability and nonprobability samples 2022 Andridge, Rebecca
Using subgroup discovery and latent growth curve modelling to identify unusual developmental trajectories 2022 Mayer, Axel
A brief history of APIS : limitations and opportunities for online research 2022 Jünger, Jakob
Applying a total error framework for digital traces to social media research 2022 Sen, Indira
Challenges of online non-propability surveys 2022 Bethlehem, Jelke G.
Machine Learning methods for computational social science 2022 De Veaux, Richard D.
Principal component analysis 2022 Pöge, Andreas
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