María Óskarsdóttir

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 41

Top Topics

Behavioural Patterns

Student Success

Top Venues

Expert Syst. Appl.

Eur. J. Oper. Res.

COMPLEX NETWORKS (2)

Publications

Gabriel Jouan, Erna Sif Arnardottir, Anna Sigridur Islind, María Óskarsdóttir
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. 317 (2) (2024)
Camilla Carpinelli, Anna Sigridur Islind, María Óskarsdóttir
The Quiet Power of Social Media: Impact on Fish-Oil Purchases in Iceland during COVID-19. ICWSM (2024)
Sahab Zandi, Kamesh Korangi, María Óskarsdóttir, Christophe Mues, Cristián Bravo
Attention-based Dynamic Multilayer Graph Neural Networks for Loan Default Prediction. CoRR (2024)
Benedikt Holm, Gabriel Jouan, Emil Hardarson, Sigríður Sigurðardóttir, Kenan Hoelke, Conor Murphy, Erna Sif Arnardóttir, María Óskarsdóttir, Anna Sigríður Islind
An Optimized Framework for Processing Large-scale Polysomnographic Data Incorporating Expert Human Oversight. CoRR (2024)
Elena Tiukhova, Pavani Vemuri, Nidia Guadalupe López Flores, Anna Sigridur Islind, María Óskarsdóttir, Stephan Poelmans, Bart Baesens, Monique Snoeck
Explainable Learning Analytics: Assessing the stability of student success prediction models by means of explainable AI. Decis. Support Syst. 182 (2024)
Tim Verdonck, Bart Baesens, María Óskarsdóttir, Seppe vanden Broucke
Special issue on feature engineering editorial. Mach. Learn. 113 (7) (2024)
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
Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda. Eur. J. Oper. Res. 317 (2) (2024)
Luka Biedebach, María Óskarsdóttir, Erna Sif Arnardóttir, Sigríður Sigurðardóttir, Michael Clausen, Sigurveig Þóra Sigurardóttir, Marta Serwatko, Anna Sigridur Islind
Anomaly detection in sleep: detecting mouth breathing in children. Data Min. Knowl. Discov. 38 (3) (2024)
Elena Tiukhova, Emiliano Penaloza, María Óskarsdóttir, Bart Baesens, Monique Snoeck, Cristián Bravo
INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks. CoRR (2023)
Luka Biedebach, María Óskarsdóttir, Erna Sif Arnardóttir, Anna Sigríður Islind
Two Sides of the Same Pillow: Unfolding the Relationship between Objective and Subjective Sleep Quality with Unsupervised Learning. ICIS (2023)
Steinunn Gróa Sigurðardóttir, María Óskarsdóttir, Oddur Ingimarsson, Anna Sigridur Islind
Digital mental health: Co-designing a digital platform to support work in psychiatric healthcare. STPIS (2022)
Steinunn Gróa Sigurðardóttir, Anna Sigridur Islind, María Óskarsdóttir
Collecting Data from a Mobile App and a Smartwatch Supports Treatment of Schizophrenia and Bipolar Disorder. MIE (2022)
María Óskarsdóttir, Kristín Eva Gísladóttir, Ragnar Stefánsson, Damián E. Aleman, Carlos Sarraute
Social networks for enhanced player churn prediction in mobile free-to-play games. Appl. Netw. Sci. 7 (1) (2022)
Nidia Guadalupe López Flores, María Óskarsdóttir, Anna Sigridur Islind
Analysis of Discussion Forum Interactions for Different Teaching Modalities based on Temporal Social Networks. NetSciLA@LAK (2022)
Lisa Schmitz, Bjarki Freyr Sveinbjarnarson, Guðni Nathan Gunnarsson, Ólafur Andri Davíðsson, Þór Breki Davíðsson, Erna Sif Arnardóttir, María Óskarsdóttir, Anna Sigríður Islind
Towards a Digital Sleep Diary Standard. AMCIS (2022)
Elena Tiukhova, Emiliano Penaloza, María Óskarsdóttir, Hernán García, Alejandro Correa Bahnsen, Bart Baesens, Monique Snoeck, Cristián Bravo
Influencer Detection with Dynamic Graph Neural Networks. CoRR (2022)
Björn Rafn Gunnarsson, Seppe vanden Broucke, Bart Baesens, María Óskarsdóttir, Wilfried Lemahieu
Deep learning for credit scoring: Do or don't? Eur. J. Oper. Res. 295 (1) (2021)
Nidia Guadalupe López Flores, Anna Sigridur Islind, María Óskarsdóttir
Effects of the COVID-19 Pandemic on Learning and Teaching: a Case Study from Higher Education. CoRR (2021)
Erla Guðrún Sturludóttir, Eydís Arnardóttir, Gísli Hjálmtýsson, María Óskarsdóttir
Gaining Insights on Student Course Selection in Higher Education with Community Detection. CoRR (2021)
Galina Deeva, Sara Willermark, Anna Sigridur Islind, María Óskarsdóttir
Introduction to the Minitrack on Learning Analytics. HICSS (2021)
Erla Guðrún Sturludóttir, Eydís Arnardóttir, Gísli Hjálmtýsson, María Óskarsdóttir
Gaining Insights on Student Course Selection in Higher Education with Community Detection. EDM (2021)
María Óskarsdóttir, Jacky Mallett, Arnþór Logi Arnarson, Alexander Snær Stefánsson
Analysis of Tainted Transactions in the Bitcoin Blockchain Transaction Network. COMPLEX NETWORKS (2) (2020)
María Óskarsdóttir, Cristián Bravo, Carlos Sarraute, Jan Vanthienen, Bart Baesens
The Value of Big Data for Credit Scoring: Enhancing Financial Inclusion using Mobile Phone Data and Social Network Analytics. CoRR (2020)
María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen
A Comparative Study of Social Network Classifiers for Predicting Churn in the Telecommunication Industry. CoRR (2020)
María Óskarsdóttir, Cristián Bravo
Multilayer Network Analysis for Improved Credit Risk Prediction. CoRR (2020)
Anna Sigridur Islind, María Óskarsdóttir, Harpa Steingrímsdóttir
Changes in mobility patterns in Europe during the COVID-19 pandemic: Novel insights using open source data. CoRR (2020)
María Óskarsdóttir, Waqas Ahmed, Katrien Antonio, Bart Baesens, Rémi Dendievel, Tom Donas, Tom Reynkens
Social network analytics for supervised fraud detection in insurance. CoRR (2020)
María Óskarsdóttir, Cristián Bravo, Carlos Sarraute, Bart Baesens, Jan Vanthienen
Credit Scoring for Good: Enhancing Financial Inclusion with Smartphone-Based Microlending. CoRR (2020)
María Óskarsdóttir, Anna Sigríður Íslind
Interaction with Medical Venues in Megacities. MIE (2020)
María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen
Social Network Analytics for Churn Prediction in Telco: Model Building, Evaluation and Network Architecture. CoRR (2020)
Laura Calzada-Infante, María Óskarsdóttir, Bart Baesens
Evaluation of customer behavior with temporal centrality metrics for churn prediction of prepaid contracts. Expert Syst. Appl. 160 (2020)
Cristián Bravo, María Óskarsdóttir
Evolution of Credit Risk Using a Personalized Pagerank Algorithm for Multilayer Networks. CoRR (2020)
Galina Deeva, Johannes De Smedt, Jochen De Weerdt, María Óskarsdóttir
Mining Behavioural Patterns in Urban Mobility Sequences Using Foursquare Check-in Data from Tokyo. COMPLEX NETWORKS (2) (2019)
María Óskarsdóttir, Cristián Bravo, Carlos Sarraute, Jan Vanthienen, Bart Baesens
The value of big data for credit scoring: Enhancing financial inclusion using mobile phone data and social network analytics. Appl. Soft Comput. 74 (2019)
María Óskarsdóttir, Sander Cornette, Floris Deseure, Bart Baesens
Inductive Representation Learning on Feature Rich Complex Networks for Churn Prediction in Telco. COMPLEX NETWORKS (1) (2019)
Jasmien Lismont, Tine Van Calster, María Óskarsdóttir, Seppe vanden Broucke, Bart Baesens, Wilfried Lemahieu, Jan Vanthienen
Closing the Gap Between Experts and Novices Using Analytics-as-a-Service: An Experimental Study. Bus. Inf. Syst. Eng. 61 (6) (2019)
María Óskarsdóttir, Bart Baesens, Jan Vanthienen
Profit-Based Model Selection for Customer Retention Using Individual Customer Lifetime Values. Big Data 6 (1) (2018)
María Óskarsdóttir, Cristián Bravo, Carlos Sarraute, Bart Baesens, Jan Vanthienen
Credit Scoring for Good: Enhancing Financial Inclusion with Smartphone-Based Microlending. ICIS (2018)
María Óskarsdóttir, Tine Van Calster, Bart Baesens, Wilfried Lemahieu, Jan Vanthienen
Time series for early churn detection: Using similarity based classification for dynamic networks. Expert Syst. Appl. 106 (2018)
María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen
Social network analytics for churn prediction in telco: Model building, evaluation and network architecture. Expert Syst. Appl. 85 (2017)
María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen
A comparative study of social network classifiers for predicting churn in the telecommunication industry. ASONAM (2016)