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20112022
most citedNS 1987A in SN 1987A

72 citations · 187 across the 18 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.LG2019★ 18 cited

A Comprehensive Survey on Machine Learning Techniques and User Authentication Approaches for Credit Card Fraud Detection

Niloofar Yousefi, Marie Alaghband, Ivan Garibay

With the increase of credit card usage, the volume of credit card misuse also has significantly increased. As a result, financial organizations are working hard on developing and d…

cs.LG2019

Forecasting the Success of Television Series using Machine Learning

Ramya Akula, Zachary Wieselthier, Laura Martin +1

Television is an ever-evolving multi billion dollar industry. The success of a television show in an increasingly technological society is a vast multi-variable formula. The art of…

cs.SI2019★ 1 cited

DeepFork: Supervised Prediction of Information Diffusion in GitHub

Ramya Akula, Niloofar Yousefi, Ivan Garibay

Information spreads on complex social networks extremely fast, in other words, a piece of information can go viral within no time. Often it is hard to barricade this diffusion prio…

cs.SI2019

The Effects of Information Overload on Online Conversation Dynamics

Chathika Gunaratne, Nisha Baral, William Rand +3

The inhibiting effects of information overload on the behavior of online social media users, can affect the population-level characteristics of information dissemination through on…

econ.GN2019★ 5 cited

Growing green: the role of path dependency and structural jumps in the green economy expansion

Seyyedmilad Talebzadehhosseini, Steven R. Scheinert, Ivan Garibay

Existing research argues that countries increase their production basket by adding products which require similar capabilities to those they already produce, a process referred to…

cs.SI2019

A Cross-Repository Model for Predicting Popularity in GitHub

Neda Hajiakhoond Bidoki, Gita Sukthankar, Heather Keathley +1

Social coding platforms, such as GitHub, can serve as natural laboratories for studying the diffusion of innovation through tracking the pattern of code adoption by programmers. Th…