María Óskarsdóttir
Orcid: 0000-0001-5095-5356
According to our database1,
María Óskarsdóttir
authored at least 35 papers
between 2016 and 2024.
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Bibliography
2024
Attention-based Dynamic Multilayer Graph Neural Networks for Loan Default Prediction.
CoRR, 2024
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
2023
Exploration of Sleep Events in the Latent Space of Variational Autoencoders on a Breath-by-Breath Basis.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023
Making the Most of Slides and Lecture Captures for Better Performance: A Learning Analytics Case Study in Higher Education.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023
Towards a Deeper Understanding of Sleep Stages through their Representation in the Latent Space of Variational Autoencoders.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023
2022
Appl. Netw. Sci., 2022
Digital mental health: Co-designing a digital platform to support work in psychiatric healthcare.
Proceedings of the 8th International Workshop on Socio-Technical Perspective in Information Systems Development (STPIS 2022), 2022
Collecting Data from a Mobile App and a Smartwatch Supports Treatment of Schizophrenia and Bipolar Disorder.
Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022
Analysis of Discussion Forum Interactions for Different Teaching Modalities based on Temporal Social Networks.
Proceedings of the NetSciLA 2022 Workshop "Networks and Learning Analytics: Addressing Educational Challenges" co-located with Learning Analytics and Knowledge (LAK 2022), 2022
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
Detecting potential money laundering addresses in the Bitcoin blockchain using unsupervised machine learning.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
Proceedings of the 28th Americas Conference on Information Systems, 2022
2021
Effects of the COVID-19 Pandemic on Learning and Teaching: a Case Study from Higher Education.
CoRR, 2021
Gaining Insights on Student Course Selection in Higher Education with Community Detection.
Proceedings of the 14th International Conference on Educational Data Mining, 2021
2020
Evaluation of customer behavior with temporal centrality metrics for churn prediction of prepaid contracts.
Expert Syst. Appl., 2020
Changes in mobility patterns in Europe during the COVID-19 pandemic: Novel insights using open source data.
CoRR, 2020
Evolution of Credit Risk Using a Personalized Pagerank Algorithm for Multilayer Networks.
CoRR, 2020
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020
Proceedings of the Complex Networks & Their Applications IX, 2020
2019
Closing the Gap Between Experts and Novices Using Analytics-as-a-Service: An Experimental Study.
Bus. Inf. Syst. Eng., 2019
The value of big data for credit scoring: Enhancing financial inclusion using mobile phone data and social network analytics.
Appl. Soft Comput., 2019
Inductive Representation Learning on Feature Rich Complex Networks for Churn Prediction in Telco.
Proceedings of the Complex Networks and Their Applications VIII, 2019
Mining Behavioural Patterns in Urban Mobility Sequences Using Foursquare Check-in Data from Tokyo.
Proceedings of the Complex Networks and Their Applications VIII, 2019
2018
Time series for early churn detection: Using similarity based classification for dynamic networks.
Expert Syst. Appl., 2018
Profit-Based Model Selection for Customer Retention Using Individual Customer Lifetime Values.
Big Data, 2018
Credit Scoring for Good: Enhancing Financial Inclusion with Smartphone-Based Microlending.
Proceedings of the International Conference on Information Systems, 2018
2017
Social network analytics for churn prediction in telco: Model building, evaluation and network architecture.
Expert Syst. Appl., 2017
2016
A comparative study of social network classifiers for predicting churn in the telecommunication industry.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016