54 citations · 83 across the 11 of their papers we have counts for
12 papers
A Multimodal Approach to SME Credit Scoring Integrating Transaction and Ownership Networks
Sahab Zandi, Kamesh Korangi, Juan C. Moreno-Paredes +3
Small and Medium-sized Enterprises (SMEs) are known to play a vital role in economic growth, employment, and innovation. However, they tend to face significant challenges in access…
Attention-based Dynamic Multilayer Graph Neural Networks for Loan Default Prediction
Sahab Zandi, Kamesh Korangi, María Óskarsdóttir +2
Whereas traditional credit scoring tends to employ only individual borrower- or loan-level predictors, it has been acknowledged for some time that connections between borrowers may…
INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks
Elena Tiukhova, Emiliano Penaloza, María Óskarsdóttir +3
Leveraging network information for predictive modeling has become widespread in many domains. Within the realm of referral and targeted marketing, influencer detection stands out a…
Influencer Detection with Dynamic Graph Neural Networks
Elena Tiukhova, Emiliano Penaloza, María Óskarsdóttir +5
Leveraging network information for prediction tasks has become a common practice in many domains. Being an important part of targeted marketing, influencer detection can potentiall…
Automatic Non-Invasive Isolation of Respiratory Cycles
Benedikt Holm, MarÍa ÓskarsdÓttir, Erna S. ArnardÓttir +3
In this paper, we introduce a novel algorithm designed to isolate individual respiratory cycles on a thoracic respiratory inductance plethysmography signal. The algorithm locates b…
Nordic vaccination strategies face/off via age range comparative analysis on key indicators of COVID-19 severity and healthcare stress level
Anna Sigridur Islind, María Óskarsdóttir, Corentin Cot +2
In this paper we analyze the impact of vaccinations on spread of the COVID-19 virus for different age groups. More specifically we examine the deployment of vaccines in the Nordic…
Gaining Insights on Student Course Selection in Higher Education with Community Detection
Erla Guðrún Sturludóttir, Eydís Arnardóttir, Gísli Hjálmtýsson +1
Gaining insight into course choices holds significant value for universities, especially those who aim for flexibility in their programs and wish to adapt quickly to changing deman…
Effects of the COVID-19 Pandemic on Learning and Teaching: a Case Study from Higher Education
Nidia Guadalupe López Flores, Anna Sigridur Islind, María Óskarsdóttir
In December 2019, the first case of SARS-CoV-2 infection was identified in Wuhan, China. Since that day, COVID-19 has spread worldwide, affecting 153 million people. Education, as…
You better watch out: US COVID-19 wave dynamics versus vaccination strategy
Giacomo Cacciapaglia, Corentin Cot, Anna Sigridur Islind +2
We employ the epidemic Renormalization Group (eRG) framework to understand, reproduce and predict the COVID-19 pandemic diffusion across the US. The human mobility across different…
Multilayer Network Analysis for Improved Credit Risk Prediction
María Óskarsdóttir, Cristián Bravo
We present a multilayer network model for credit risk assessment. Our model accounts for multiple connections between borrowers (such as their geographic location and their economi…
Social network analytics for supervised fraud detection in insurance
María Óskarsdóttir, Waqas Ahmed, Katrien Antonio +4
Insurance fraud occurs when policyholders file claims that are exaggerated or based on intentional damages. This contribution develops a fraud detection strategy by extracting insi…
Evolution of Credit Risk Using a Personalized Pagerank Algorithm for Multilayer Networks
Cristián Bravo, María Óskarsdóttir
In this paper we present a novel algorithm to study the evolution of credit risk across complex multilayer networks. Pagerank-like algorithms allow for the propagation of an influe…