María Óskarsdóttir

55 papers A 1B 3C 3Journal 37Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Data-Local Autonomous LLM-Guided Neural Architecture Search for Multiclass Multimodal Time-Series Classification.
CoRR
Emil Hardarson, Luka Biedebach, Ómar Bessi Ómarsson, Teitur Hrólfsson, Anna Sigridur Islind, María Óskarsdóttir
2025 J jnl
A Multimodal Approach to SME Credit Scoring Integrating Transaction and Ownership Networks.
CoRR
Sahab Zandi, Kamesh Korangi, Juan Carlos Paredes-Rojas, María Óskarsdóttir, Christophe Mues, Cristián Bravo
2025 J jnl
Attention-based dynamic multilayer graph neural networks for loan default prediction.
Eur. J. Oper. Res.
Sahab Zandi, Kamesh Korangi, María Óskarsdóttir, Christophe Mues, Cristián Bravo
2025 J jnl
Chaos into Order: Neural Framework for Expected Value Estimation of Stochastic Partial Differential Equations.
CoRR
Ísak Pétursson, María Óskarsdóttir
2025 — conf
Co-Designing Digital Health Applications: Unravelling the Importance of Mobile Bedside Documentation Practices.
AMCIS
Lilja Guðrún Jóhannsdóttir, Anna Halldóra N. Snorradóttir, Adeline Tracz, María Óskarsdóttir, Anna Sigríður Islind
2025 J jnl
Design principles for enhancing a digital health platform for patients with atrial fibrillation.
Health Informatics J.
Lilja Guðrún Jóhannsdóttir, Helga Ýr Erlingsdóttir, Sigfús Örvar Gizurarson, Kristján Guðmundsson, Herdís Kristjánsdóttir, Björn Jónsson, María Óskarsdóttir, Anna Sigríður Islind
2025 J jnl
Harnessing Social Media for Activism: A Case Study of Tweets Driving Change in Ghana.
Electron. J. Inf. Syst. Dev. Ctries.
Naana Darkwaa Nimako, Anna Sigriour Islind, María Óskarsdóttir
2025 J jnl
World of ScoreCraft: Novel Multi Scorer Experiment on the Impact of a Decision Support System in Sleep Staging.
CoRR
Benedikt Holm, Arnar Óskarsson, Björn Elvar Þorleifsson, Hörður Þór Hafsteinsson, Sigríður Sigurðardóttir, Heiður Grétarsdóttir, Kenan Hoelke, Gabriel Marc Marie Jouan, Thomas Penzel, Erna Sif Arnardóttir, María Óskarsdóttir
2024 J jnl
An Optimized Framework for Processing Large-scale Polysomnographic Data Incorporating Expert Human Oversight.
CoRR
Benedikt Holm, Gabriel Jouan, Emil Hardarson, Sigríður Sigurðardóttir, Kenan Hoelke, Conor Murphy, Erna Sif Arnardóttir, María Óskarsdóttir, Anna Sigríður Islind
2024 J jnl
An algorithmic approach to identification of gray areas: Analysis of sleep scoring expert ensemble non agreement areas using a multinomial mixture model.
Eur. J. Oper. Res.
Gabriel Jouan, Erna Sif Arnardóttir, Anna Sigridur Islind, María Óskarsdóttir
2024 J jnl
An optimized framework for processing multicentric polysomnographic data incorporating expert human oversight.
Frontiers Neuroinformatics
Benedikt Holm, Gabriel Jouan, Emil Hardarson, Sigríður Sigurðardóttir, Kenan Hoelke, Conor Murphy, Erna Sif Arnardóttir, María Óskarsdóttir, Anna Sigríður Islind
2024 J jnl
Anomaly detection in sleep: detecting mouth breathing in children.
Data Min. Knowl. Discov.
Luka Biedebach, María Óskarsdóttir, Erna Sif Arnardóttir, Sigríður Sigurðardóttir, Michael Clausen, Sigurveig Þóra Sigurardóttir, Marta Serwatko, Anna Sigridur Islind
2024 J jnl
Attention-based Dynamic Multilayer Graph Neural Networks for Loan Default Prediction.
CoRR
Sahab Zandi, Kamesh Korangi, María Óskarsdóttir, Christophe Mues, Cristián Bravo
2024 J jnl
Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda.
Eur. J. Oper. Res.
Koen W. De Bock, Kristof Coussement, Arno De Caigny, Roman Slowinski, Bart Baesens, Robert N. Boute, Tsan-Ming Choi, Dursun Delen, Mathias Kraus, Stefan Lessmann, Sebastián Maldonado, David Martens, María Óskarsdóttir, Carla Vairetti, Wouter Verbeke, Richard Weber
2024 J jnl
Explainable Learning Analytics: Assessing the stability of student success prediction models by means of explainable AI.
Decis. Support Syst.
Elena Tiukhova, Pavani Vemuri, Nidia Guadalupe López Flores, Anna Sigridur Islind, María Óskarsdóttir, Stephan Poelmans, Bart Baesens, Monique Snoeck
2024 J jnl
Generalized Distribution Prediction for Asset Returns.
CoRR
Ísak Pétursson, María Óskarsdóttir
2024 — conf
Human-AI Collaboration: From Explainable AI to Co-Creating Meaning.
ACIS
Emil Hardarson, Frida Ivarsson, Anna Sigríður Islind, Erna Sif Arnardóttir, María Óskarsdóttir
2024 J jnl
INFLECT-DGNN: Influencer Prediction With Dynamic Graph Neural Networks.
IEEE Access
Elena Tiukhova, Emiliano Penaloza, María Óskarsdóttir, Bart Baesens, Monique Snoeck, Cristián Bravo
2024 C conf
Insights from a Socio-Temporal Approach to Student Failure Prediction through Discussion Forum Dynamics.
FIE
Nidia Guadalupe López Flores, Víctor Uc-Cetina, Anna Sigridur Islind, María Óskarsdóttir
2024 J jnl
Special issue on feature engineering editorial.
Mach. Learn.
Tim Verdonck, Bart Baesens, María Óskarsdóttir, Seppe vanden Broucke
2024 A conf
The Quiet Power of Social Media: Impact on Fish-Oil Purchases in Iceland during COVID-19.
ICWSM
Camilla Carpinelli, Anna Sigridur Islind, María Óskarsdóttir
2024 B conf
Threads of Complexity: Lessons learnt from Predicting Student Failure through Discussion Forums' Social-Temporal Dynamics.
EDM
Nidia Guadalupe López Flores, Víctor Uc-Cetina, Anna Sigridur Islind, María Óskarsdóttir
2023 J jnl
INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks.
CoRR
Elena Tiukhova, Emiliano Penaloza, María Óskarsdóttir, Bart Baesens, Monique Snoeck, Cristián Bravo
2023 C conf
Two Sides of the Same Pillow: Unfolding the Relationship between Objective and Subjective Sleep Quality with Unsupervised Learning.
ICIS
Luka Biedebach, María Óskarsdóttir, Erna Sif Arnardóttir, Anna Sigríður Islind
2022 — conf
Analysis of Discussion Forum Interactions for Different Teaching Modalities based on Temporal Social Networks.
NetSciLA@LAK
Nidia Guadalupe López Flores, María Óskarsdóttir, Anna Sigridur Islind
2022 — conf
Collecting Data from a Mobile App and a Smartwatch Supports Treatment of Schizophrenia and Bipolar Disorder.
MIE
Steinunn Gróa Sigurðardóttir, Anna Sigridur Islind, María Óskarsdóttir
2022 — conf
Digital mental health: Co-designing a digital platform to support work in psychiatric healthcare.
STPIS
Steinunn Gróa Sigurðardóttir, María Óskarsdóttir, Oddur Ingimarsson, Anna Sigridur Islind
2022 J jnl
Influencer Detection with Dynamic Graph Neural Networks.
CoRR
Elena Tiukhova, Emiliano Penaloza, María Óskarsdóttir, Hernán García, Alejandro Correa Bahnsen, Bart Baesens, Monique Snoeck, Cristián Bravo
2022 J jnl
Social networks for enhanced player churn prediction in mobile free-to-play games.
Appl. Netw. Sci.
María Óskarsdóttir, Kristín Eva Gísladóttir, Ragnar Stefánsson, Damián E. Aleman, Carlos Sarraute
2022 — conf
Towards a Digital Sleep Diary Standard.
AMCIS
Lisa Schmitz, Bjarki Freyr Sveinbjarnarson, Guðni Nathan Gunnarsson, Ólafur Andri Davíðsson, Þór Breki Davíðsson, Erna Sif Arnardóttir, María Óskarsdóttir, Anna Sigríður Islind
2021 J jnl
Deep learning for credit scoring: Do or don't?
Eur. J. Oper. Res.
Björn Rafn Gunnarsson, Seppe vanden Broucke, Bart Baesens, María Óskarsdóttir, Wilfried Lemahieu
2021 J jnl
Effects of the COVID-19 Pandemic on Learning and Teaching: a Case Study from Higher Education.
CoRR
Nidia Guadalupe López Flores, Anna Sigridur Islind, María Óskarsdóttir
2021 B conf
Gaining Insights on Student Course Selection in Higher Education with Community Detection.
EDM
Erla Guðrún Sturludóttir, Eydís Arnardóttir, Gísli Hjálmtýsson, María Óskarsdóttir
2021 J jnl
Gaining Insights on Student Course Selection in Higher Education with Community Detection.
CoRR
Erla Guðrún Sturludóttir, Eydís Arnardóttir, Gísli Hjálmtýsson, María Óskarsdóttir
2021 — conf
Introduction to the Minitrack on Learning Analytics.
HICSS
Galina Deeva, Sara Willermark, Anna Sigridur Islind, María Óskarsdóttir
2020 J jnl
A Comparative Study of Social Network Classifiers for Predicting Churn in the Telecommunication Industry.
CoRR
María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen
2020 — conf
Analysis of Tainted Transactions in the Bitcoin Blockchain Transaction Network.
COMPLEX NETWORKS (2)
María Óskarsdóttir, Jacky Mallett, Arnþór Logi Arnarson, Alexander Snær Stefánsson
2020 J jnl
Changes in mobility patterns in Europe during the COVID-19 pandemic: Novel insights using open source data.
CoRR
Anna Sigridur Islind, María Óskarsdóttir, Harpa Steingrímsdóttir
2020 J jnl
Credit Scoring for Good: Enhancing Financial Inclusion with Smartphone-Based Microlending.
CoRR
María Óskarsdóttir, Cristián Bravo, Carlos Sarraute, Bart Baesens, Jan Vanthienen
2020 J jnl
Evaluation of customer behavior with temporal centrality metrics for churn prediction of prepaid contracts.
Expert Syst. Appl.
Laura Calzada-Infante, María Óskarsdóttir, Bart Baesens
2020 J jnl
Evolution of Credit Risk Using a Personalized Pagerank Algorithm for Multilayer Networks.
CoRR
Cristián Bravo, María Óskarsdóttir
2020 — conf
Interaction with Medical Venues in Megacities.
MIE
María Óskarsdóttir, Anna Sigríður Islind
2020 J jnl
Multilayer Network Analysis for Improved Credit Risk Prediction.
CoRR
María Óskarsdóttir, Cristián Bravo
2020 J jnl
Social Network Analytics for Churn Prediction in Telco: Model Building, Evaluation and Network Architecture.
CoRR
María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen
2020 J jnl
Social network analytics for supervised fraud detection in insurance.
CoRR
María Óskarsdóttir, Waqas Ahmed, Katrien Antonio, Bart Baesens, Rémi Dendievel, Tom Donas, Tom Reynkens
2020 J jnl
The Value of Big Data for Credit Scoring: Enhancing Financial Inclusion using Mobile Phone Data and Social Network Analytics.
CoRR
María Óskarsdóttir, Cristián Bravo, Carlos Sarraute, Jan Vanthienen, Bart Baesens
2019 J jnl
Closing the Gap Between Experts and Novices Using Analytics-as-a-Service: An Experimental Study.
Bus. Inf. Syst. Eng.
Jasmien Lismont, Tine Van Calster, María Óskarsdóttir, Seppe vanden Broucke, Bart Baesens, Wilfried Lemahieu, Jan Vanthienen
2019 — conf
Inductive Representation Learning on Feature Rich Complex Networks for Churn Prediction in Telco.
COMPLEX NETWORKS (1)
María Óskarsdóttir, Sander Cornette, Floris Deseure, Bart Baesens
2019 — conf
Mining Behavioural Patterns in Urban Mobility Sequences Using Foursquare Check-in Data from Tokyo.
COMPLEX NETWORKS (2)
Galina Deeva, Johannes De Smedt, Jochen De Weerdt, María Óskarsdóttir
2019 J jnl
The value of big data for credit scoring: Enhancing financial inclusion using mobile phone data and social network analytics.
Appl. Soft Comput.
María Óskarsdóttir, Cristián Bravo, Carlos Sarraute, Jan Vanthienen, Bart Baesens
2018 C conf
Credit Scoring for Good: Enhancing Financial Inclusion with Smartphone-Based Microlending.
ICIS
María Óskarsdóttir, Cristián Bravo, Carlos Sarraute, Bart Baesens, Jan Vanthienen
2018 J jnl
Profit-Based Model Selection for Customer Retention Using Individual Customer Lifetime Values.
Big Data
María Óskarsdóttir, Bart Baesens, Jan Vanthienen
2018 J jnl
Time series for early churn detection: Using similarity based classification for dynamic networks.
Expert Syst. Appl.
María Óskarsdóttir, Tine Van Calster, Bart Baesens, Wilfried Lemahieu, Jan Vanthienen
2017 J jnl
Social network analytics for churn prediction in telco: Model building, evaluation and network architecture.
Expert Syst. Appl.
María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen
2016 B conf
A comparative study of social network classifiers for predicting churn in the telecommunication industry.
ASONAM
María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen