15 citations · 36 across the 10 of their papers we have counts for
13 papers
CartoVec: General-Purpose Location Embeddings from Open Map Data
Furkan Gursoy
Geographic coordinates are common inputs in applied machine learning, but latitude and longitude describe position rather than the surrounding environment. Image-grounded location…
Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision Systems
Furkan Gursoy, Ioannis A. Kakadiaris
As artificial intelligence plays an increasingly substantial role in decisions affecting humans and society, the accountability of automated decision systems has been receiving inc…
Accuracy, Fairness, and Interpretability of Machine Learning Criminal Recidivism Models
Eric Ingram, Furkan Gursoy, Ioannis A. Kakadiaris
Criminal recidivism models are tools that have gained widespread adoption by parole boards across the United States to assist with parole decisions. These models take in large amou…
Error Parity Fairness: Testing for Group Fairness in Regression Tasks
Furkan Gursoy, Ioannis A. Kakadiaris
The applications of Artificial Intelligence (AI) surround decisions on increasingly many aspects of human lives. Society responds by imposing legal and social expectations for the…
System Cards for AI-Based Decision-Making for Public Policy
Furkan Gursoy, Ioannis A. Kakadiaris
Decisions impacting human lives are increasingly being made or assisted by automated decision-making algorithms. Many of these algorithms process personal data for predicting recid…
Investigating internal migration with network analysis and latent space representations: An application to Turkey
Furkan Gürsoy, Bertan Badur
Human migration patterns influence the redistribution of population characteristics over the geography and since such distributions are closely related to social and economic outco…
An Agent-Based Modelling Approach to Brain Drain
Furkan Gürsoy, Bertan Badur
The phenomenon of brain drain, that is the emigration of highly skilled people, has many undesirable effects, particularly for developing countries. In this study, an agent-based m…
Machine-Generated Hierarchical Structure of Human Activities to Reveal How Machines Think
Mahsun Altın, Furkan Gürsoy, Lina Xu
Deep-learning based computer vision models have proved themselves to be ground-breaking approaches to human activity recognition (HAR). However, most existing works are dedicated t…
Alignment and stability of embeddings: measurement and inference improvement
Furkan Gürsoy, Mounir Haddad, Cécile Bothorel
Representation learning (RL) methods learn objects' latent embeddings where information is preserved by distances. Since distances are invariant to certain linear transformations,…
Extracting the signed backbone of intrinsically dense weighted networks
Furkan Gursoy, Bertan Badur
Networks provide useful tools for analyzing diverse complex systems from natural, social, and technological domains. Growing size and variety of data such as more nodes and links a…
Community Detection in the Hyperbolic Space
Matteo Bruno, Sandro Ferreira Sousa, Furkan Gursoy +4
Embedding a network in hyperbolic space can reveal interesting features for the network structure, especially in terms of self-similar characteristics. The hidden metric space, whi…
Predicting Diffusion Reach Probabilities via Representation Learning on Social Networks
Furkan Gursoy, Ahmet Onur Durahim
Diffusion reach probability between two nodes on a network is defined as the probability of a cascade originating from one node reaching to another node. An infinite number of casc…
A Community-aware Network Growth Model for Synthetic Social Network Generation
Furkan Gursoy, Bertan Badur
This study proposes a novel network growth model named ComAwareNetGrowth which aims to mimic evolution of real-world social networks. The model works in discrete time. At each time…