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Using Deep Learning to Predict Demographics from Mobile Phone Metadata
4 references·5 citing·41 second hop
Using Deep Learning to Predict Demographics from Mobile Phone Metadata (2015)Using Deep Learning to Predict Demographi…BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits (2014)BayesOpt: A Bayesian Optimiza…Practical Bayesian Optimization of Machine Learning Algorithms (2012)Practical Bayesian Optimizati…Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data: A Post-Earthquake Geospatial Study in Haiti (2011)Improved Response to Disaster…A Gender-Centric Analysis of Calling Behavior in a Developing Economy Using Call Detail Records (2010)A Gender-Centric Analysis of …Towards Real-Time Prediction of Unemployment and Profession (2017)Towards Real-Time Prediction …Inferring Individual Social Capital Automatically via Phone Logs (2017)Inferring Individual Social C…DeepCity: A Feature Learning Framework for Mining Location Check-Ins (2017)DeepCity: A Feature Learning …Who Is Doing Computational Social Science? Trends in Big Data Research A SAGE White Paper (2016)Who Is Doing Computational So…Estimating individual employment status using mobile phone network data (2016)Estimating individual employm…Measuring the information society (1989)Understanding individual human mobility patterns (2008)Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake (2010)Predictability of population displacement after the 2010 Haiti earthquake (2012)Applications of artificial intelligence for disaster management (2020)Social physics (2022)Design and Analysis of Computer Experiments (1989)A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning (2010)Global optimization of Lipschitz functions (2017)Practical Bayesian support vector regression for financial time series prediction and market condition change detection (2017)A Multi-Stage Self-Adaptive Classifier Ensemble Model With Application in Credit Scoring (2019)The General Theory of Employment, Interest and Money. (1936)Dynamic population mapping using mobile phone data (2014)Predicting poverty and wealth from mobile phone metadata (2015)Mitigating the Risks of Financial Exclusion: Predicting Illiteracy with Standard Mobile Phone Logs (2017)Monitoring COVID-19-Induced Gender Differences in Teleworking Rates Using Mobile Network Data (2022)Productivity and the Density of Economic Activity (1993)Computational Social Science (2009)The Strength of Weak Ties (1973)Social Capital in the Creation of Human Capital (1988)Social Capital in the Creation of Human Capital (2000)Predicting financial trouble using call data—On social capital, phone logs, and financial trouble (2018)Fintech and Credit Scoring for the Millennials: Evidence using Mobile and Social Footprints (2019)The geography of connectivity: a review of mobile positioning data for economic geography (2022)You are where you tweet (2010)Friendship and mobility (2011)Private traits and attributes are predictable from digital records of human behavior (2013)LCE: A Location Category Embedding Model for Predicting the Category Labels of POIs (2017)Epidemic zone of COVID-19 from social media using hypergraph with weighting factor (HWF) (2021)Human Mobility Identification by Deep Behavior Relevant Location Representation (2022)The building blocks of economic complexity (2009)Experimental evidence of massive-scale emotional contagion through social networks (2014)Mobile Phone Use as Part of Young People's Consumption Styles (2003)Social ties and their relevance to churn in mobile telecom networks (2008)A study of age and gender seen through mobile phone usage patterns in Mexico (2014)MobiScore: Towards Universal Credit Scoring from Mobile Phone Data (2015)Power-law distributions in empirical data (2018)Computational socioeconomics (2019)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)A Tutorial on Bayesian Optimization (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)
this work references cited by second hop

References

  • 2012Practical Bayesian Optimization of Machine Learning Algorithms6,690 cited
  • 2011Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data: A Post-Earthquake Geospatial Study in Haiti634 cited
  • 2014BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits248 cited
  • 2010A Gender-Centric Analysis of Calling Behavior in a Developing Economy Using Call Detail Records44 cited

Cited by

  • 2016Who Is Doing Computational Social Science? Trends in Big Data Research A SAGE White Paper22 cited
  • 2017DeepCity: A Feature Learning Framework for Mining Location Check-Ins21 cited
  • 2017Inferring Individual Social Capital Automatically via Phone Logs20 cited
  • 2017Towards Real-Time Prediction of Unemployment and Profession10 cited
  • 2016Estimating individual employment status using mobile phone network data7 cited

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