218 citations · 886 across the 47 of their papers we have counts for
47 papers
Snel: SQL Native Execution for LLVM
Marcelo Mottalli, Alejo Sanchez, Gustavo Ajzenman +1
Snel is a relational database engine featuring Just-In-Time (JIT) compilation of queries and columnar data representation. Snel is designed for fast on-line analytics by leveraging…
The Value of Big Data for Credit Scoring: Enhancing Financial Inclusion using Mobile Phone Data and Social Network Analytics
María Óskarsdóttir, Cristián Bravo, Carlos Sarraute +2
Credit scoring is without a doubt one of the oldest applications of analytics. In recent years, a multitude of sophisticated classification techniques have been developed to improv…
Fair and Decentralized Exchange of Digital Goods
Ariel Futoransky, Carlos Sarraute, Daniel Fernandez +2
We construct a privacy-preserving, distributed and decentralized marketplace where parties can exchange data for tokens. In this market, buyers and sellers make transactions in a b…
WibsonTree: Efficiently Preserving Seller's Privacy in a Decentralized Data Marketplace
Ariel Futoransky, Carlos Sarraute, Ariel Waissbein +2
We present a cryptographic primitive called WibsonTree designed to preserve users' privacy by allowing them to demonstrate predicates on their personal attributes, without revealin…
BatPay: a gas efficient protocol for the recurrent micropayment of ERC20 tokens
Hartwig Mayer, Ismael Bejarano, Daniel Fernandez +5
BatPay is a proxy scaling solution for the transfer of ERC20 tokens. It is suitable for micropayments in one-to-many and few-to-many scenarios, including digital markets and the di…
Wibson Protocol for Secure Data Exchange and Batch Payments
Daniel Fernandez, Ariel Futoransky, Gustavo Ajzenman +2
Wibson is a blockchain-based, decentralized data marketplace that provides individuals a way to securely and anonymously sell information in a trusted environment. The combination…
Credit Scoring for Good: Enhancing Financial Inclusion with Smartphone-Based Microlending
María Óskarsdóttir, Cristián Bravo, Carlos Sarraute +2
Globally, two billion people and more than half of the poorest adults do not use formal financial services. Consequently, there is increased emphasis on developing financial techno…
Social Network Analytics for Churn Prediction in Telco: Model Building, Evaluation and Network Architecture
María Óskarsdóttir, Cristián Bravo, Wouter Verbeke +3
Social network analytics methods are being used in the telecommunication industry to predict customer churn with great success. In particular it has been shown that relational lear…
A Comparative Study of Social Network Classifiers for Predicting Churn in the Telecommunication Industry
Maria Óskarsdóttir, Cristián Bravo, Wouter Verbeke +3
Relational learning in networked data has been shown to be effective in a number of studies. Relational learners, composed of relational classifiers and collective inference method…
Detecting Areas of Potential High Prevalence of Chagas in Argentina
Antonio Vazquez Brust, Tomas Olego, German Rosati +6
A map of potential prevalence of Chagas disease (ChD) with high spatial disaggregation is presented. It aims to detect areas outside the Gran Chaco ecoregion (hyperendemic for the…
Computing Accessibility Metrics for Argentina
Carolina Lang, Tobias Carreira, German Cesar Dima +2
We present a tool to calculate distances and travel times between a set of origins and a set of destinations, using different modes of transport in Argentina. The input data for th…
Segregated interactions in urban and online space
Xiaowen Dong, Alfredo J. Morales, Eaman Jahani +6
Urban income segregation is a widespread phenomenon that challenges societies across the globe. Classical studies on segregation have largely focused on the geographic distribution…
Secure Exchange of Digital Goods in a Decentralized Data Marketplace
Ariel Futoransky, Carlos Sarraute, Ariel Waissbein +3
We are tackling the problem of trading real-world private information using only cryptographic protocols and a public blockchain to guarantee honest transactions. In this project,…
Inference of Demographic Attributes based on Mobile Phone Usage Patterns and Social Network Topology
Carlos Sarraute, Jorge Brea, Javier Burroni +1
Mobile phone usage provides a wealth of information, which can be used to better understand the demographic structure of a population. In this paper, we focus on the population of…
Wibson: A Decentralized Data Marketplace
Matias Travizano, Carlos Sarraute, Gustavo Ajzenman +1
Our aim is for Wibson to be a blockchain-based, decentralized data marketplace that provides individuals a way to securely and anonymously sell information in a trusted environment…
Brief survey of Mobility Analyses based on Mobile Phone Datasets
Carlos Sarraute, Martin Minnoni
This is a brief survey of the research performed by Grandata Labs in collaboration with numerous academic groups around the world on the topic of human mobility. A driving theme in…
Comparison of Feature Extraction Methods and Predictors for Income Inference
Martin Fixman, Martin Minnoni, Carlos Sarraute
Patterns of mobile phone communications, coupled with the information of the social network graph and financial behavior, allow us to make inferences of users' socio-economic attri…
A Bayesian Approach to Income Inference in a Communication Network
Martin Fixman, Ariel Berenstein, Jorge Brea +3
The explosion of mobile phone communications in the last years occurs at a moment where data processing power increases exponentially. Thanks to those two changes in a global scale…
Uncovering the Spread of Chagas Disease in Argentina and Mexico
Juan de Monasterio, Alejo Salles, Carolina Lang +4
Chagas disease is a neglected disease, and information about its geographical spread is very scarse. We analyze here mobility and calling patterns in order to identify potential ri…
Inference of Users Demographic Attributes based on Homophily in Communication Networks
Jorge Brea, Javier Burroni, Carlos Sarraute
Over the past decade, mobile phones have become prevalent in all parts of the world, across all demographic backgrounds. Mobile phones are used by men and women across a wide age r…
Point Process Models for Distribution of Cell Phone Antennas
Ezequiel Fattori, Pablo Groisman, Carlos Sarraute
We introduce a model for the spatial distribution of cell phone antennas in a urban environment. After showing that the complete spatial randomness (homogeneous Poisson distributio…
Correlations and dynamics of consumption patterns in social-economic networks
Yannick Leo, Márton Karsai, Carlos Sarraute +1
We analyse a coupled dataset collecting the mobile phone communications and bank transactions history of a large number of individuals living in a Latin American country. After map…
The City Pulse of Buenos Aires
Carlos Sarraute, Carolina Lang, Nicolas B. Ponieman +1
Cell phone technology generates massive amounts of data. Although this data has been gathered for billing and logging purposes, today it has a much higher value, because its volume…
Analyzing the Spread of Chagas Disease with Mobile Phone Data
Juan de Monasterio, Alejo Salles, Carolina Lang +4
We use mobile phone records for the analysis of mobility patterns and the detection of possible risk zones of Chagas disease in two Latin American countries. We show that geolocali…