Conference contributions
Papers in proceedings, posters and presentations
Corporate Career Mobility Patterns: A Data Driven Perspective
María Óskarsdóttir, Lára Margrét Holm Hólmfrídardóttir, Yuhao Zhou, Cristían Bravo
Scientific Meeting of the Italian Statistical Society
2025
2024
Camilla Carpinelli, Anna Sigridur Islind, María Óskarsdóttir
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media - ICWSM
Corporate Credit Rating Prediction using Multi-Modal Temporal Neural Networks
Magnús Morthens, Mahsa Tavakoli, Cristian Bravo, María Óskarsdóttir
KDD Workshop on Machine Learning in Finance at KDD
[presentation]
Credit Rating Prediction using multi-Modal Temporal Neural Networks
Magnús Morthens, Mahsa Tavakoli, Cristian Bravo, María Óskarsdóttir
Conplext Networks in Banking and Finance (CoNBaf 2024)
Network Characteristics and their Impact on Graph Neural Network Performance
Feature Set Aggregation using Community Detection in Networks
Uncovering The Network Power Gap: A Deep Learning Approach To Investigating Gender Disparities In The Boardrooms Of Canadian Public Firms
Yuhao Zhou, Collins Ntim, María Óskarsdóttir, Matt Davison, Cristián Bravo
AAAI 2024 workshop on AI in Finance for Social Impact
Awarded with the best poster of the workshop
[poster]
Extreme climate events and credit risk: a stress testing approach for loans to SMEs based
on multilayer network analysis
AAAI 2024 workshop on AI in Finance for Social Impact
Camilla Carpinelli, Cristián Bravo, Raffaella Calabrese, María Óskarsdóttir
[poster]
Threads of Complexity: Lessons learnt from Predicting Student Failure through Discussion Forums’ Social-Temporal Dynamics
Nidia Guadalupe López Flores, Viktor Uc-Cetina, Anna Sigridur Islind, María Óskarsdóttir
17th International Conference on Educational Data Mining
Human-AI Collaboration: From Explainable AI to Co-Creating Meaning
Emil Hardarson, Frida Ivarsson, Anna Sigridur Islind, Erna Sif Arnardóttir, María Óskarsdóttir
Australasian Conference on Information Systems (ACIS)
Discovering Unusual Study Patterns Using Anomaly Detection and XAI
Elena Tiukhova, Pavani Vemuri, María Óskarsdóttir, Stephan Poelmans, Bart Baesens, Monique Snoeck
57th Hawaii International Conference on System Sciences
2024
Two Sides of the Same Pillow: Unfolding the Relationship between Objective and Subjective Sleep Quality with Unsupervised Learning
Luka Biedebach, María Óskarsdóttir, Erna Sif Arnardóttir, Anna Sigridur Islind
International Conference on Information Systems
The Friendly Chatbot: Revealing why People use Chatbots through a Study of User Experience of Conversational Agents
Anna Sigridur Islind, María Óskarsdóttir, Svanhvít Ásta Smith, Erna Sif Arnard.ttir
Scandinavian Conference on Information Systems
Exploration of Sleep Events in the Latent Space of Variational Autoencoders on a Breath-by-Breath Basis​
Benedikt Holm, Anna Sigridur Islind, Erna Sif Arnard.ttir, María Óskarsdóttir
56th Hawaii International Conference on System Science
Making the Most of Slides and Lecture Captures for Better Performance: A Learning Analytics Case Study in Higher Education
Nidia Guadalupe López Flores, Anna Sigridur Islind, María Óskarsdóttir
56th Hawaii International Conference on System Science
Towards a Deeper Understanding of Sleep Stages through their Representation in the Latent Space of Variational Autoencoders
Luka Biedebach, Matias Rusanen, Benedikt Holm, Erna Sif Arnard.ttir, María Óskarsdóttir, Sami Nikkonen, Henri Korkalainen, Sami Myllymaa, Juha Töyräs, Samu Kainulainen, Timo Leppänen, Anna Sigridur Islind
Proceedings of the 56th Hawaii International Conference on System Science
2023
Influencer Detection with Dynamic Graph Neural Networks
Elena Tiukhova, Emiliano Penaloza, María Óskarsdóttir, Hernan Garcia, Alejandro Correa Bahnsen, Bart Baesens, Monique Snoek, Cristián Bravo
In NeurIPS 2022 Temporal Graph Learning Workshop
[poster]
Analysis of Discussion Forum Interactions for Different Teaching Modalities based on Temporal Social Networks
Nidia Guadalope López Flores, Anna Sigridur Islind, María Óskarsdóttir
Networks and Learning Analytics: Addressing Educational Challenges: NetSciLA
Towards a Digital Sleep Diary Standard
Lisa Schmitz, Bjarki Freyr Sveinbjarnarson, Gudni Natan Gunnarsson, Ólafur Andri Davíðsson, Þór Breki Davíðsson, Erna Sif Arnardottir, María Óskarsdóttir, Anna Sigridur Islind
American Conference on Information System
Collecting Data from a Mobile App and a Smartwatch Supports Treatment of Schizophrenia and Bipolar Disorder
Steinunn Gróa Sigurðardóttir, Anna Sigridur Islind, María Óskarsdóttir
Challenges of Trustable AI and Added-Value on Health
Exploring study profiles of Computer Science students with Social Network Analysis
Nidia Guadalupe López Flores, Anna Sigridur Islind, María Óskarsdóttir
55th Hawaii International Conference on System Science
Detecting potential money laundering addresses in the Bitcoin blockchain using unsupervised machine learning
Hilmar Stefánsson, Huginn Sær Grímsson, Jón Kristinn Þórðarson, María Óskarsdóttir
55th Hawaii International Conference on System Science
2022
Gaining Insights on Student Course Selection in Higher Education with Community Detection
Erla Guðrún Sturludóttir, Eydís Arnardóttir, Gísli Hjálmtýsson, María Óskarsdóttir
International Conference on Educational Data Mining
2021
Analysis of Tainted Transactions in the Bitcoin Blockchain Transaction Network
María Óskarsdóttir, Jacky Mallett, Arnþór Logi Arnarson, Alexander Snær Stefánsson
International Conference on Complex Networks and Their Applications
Interaction with Medical Venues in Megacities
María Óskarsdóttir, Anna Sigridur Islind
Studies in health technology and informatics
Evolution of credit risk using a personalized pagerank algorithm for multilayer networks
Cristián Bravo, María Óskarsdóttir
KDD Workshop on Machine Learning in Finance at KDD
[spotlight presentation, arxiv]
2020
Mining Behavioural Patterns in Urban Mobility Sequences Using Foursquare Check-in Data from Tokyo
Galina Deeva, Johannes De Smedt, Jochen De Weerdt, Maria Óskarsdóttirtir
International Conference on Complex Networks and Their Applications
Inductive representation learning on feature rich complex networks for churn prediction in telco
María Óskarsdóttir, Sander Cornette, Floris Deseure, Bart Baesens
International Conference on Complex Networks and Their Applications.
2019
Credit scoring for good: enhancing financial inclusion with smartphone-based microlending
María Óskarsdóttir, Crisitán Bravo, Carlos Sarraute, Bart Baesens, Jan Vanthienen
.International Conference on Information Systems
2018
A comparative study of social network classifiers for predicting churn in the telecommunication industry
María Óskarsdóttir, Crisitián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen
Advances in Social Networks Analysis and Mining (ASONAM), 2016 IEEE/ACM International Conference​
Automated analytics: The organizational impact of Analytics-as-a-Service
Tine Van Calster, Jasmien Lismont, María Óskarsdóttir, Seppe vanden Broucke, Bart Baesens, Jan Vanthienen,Wilfried Lemahieu
EI-KDD-16 workshop
[poster]
2016
Camilla Carpinelli, Anna Sigridur Islind, María Óskarsdóttir
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media - ICWSM
Corporate Credit Rating Prediction using Multi-Modal Temporal Neural Networks
Magnús Morthens, Mahsa Tavakoli, Cristian Bravo, María Óskarsdóttir
KDD Workshop on Machine Learning in Finance at KDD
[presentation]
Credit Rating Prediction using multi-Modal Temporal Neural Networks
Magnús Morthens, Mahsa Tavakoli, Cristian Bravo, María Óskarsdóttir
Conplext Networks in Banking and Finance (CoNBaf 2024)
Network Characteristics and their Impact on Graph Neural Network Performance
Feature Set Aggregation using Community Detection in Networks
Uncovering The Network Power Gap: A Deep Learning Approach To Investigating Gender Disparities In The Boardrooms Of Canadian Public Firms
Yuhao Zhou, Collins Ntim, María Óskarsdóttir, Matt Davison, Cristián Bravo
AAAI 2024 workshop on AI in Finance for Social Impact
Awarded with the best poster of the workshop
[poster]
Extreme climate events and credit risk: a stress testing approach for loans to SMEs based
on multilayer network analysis
AAAI 2024 workshop on AI in Finance for Social Impact
Camilla Carpinelli, Cristián Bravo, Raffaella Calabrese, María Óskarsdóttir
[poster]
Threads of Complexity: Lessons learnt from Predicting Student Failure through Discussion Forums’ Social-Temporal Dynamics
Nidia Guadalupe López Flores, Viktor Uc-Cetina, Anna Sigridur Islind, María Óskarsdóttir
17th International Conference on Educational Data Mining
Human-AI Collaboration: From Explainable AI to Co-Creating Meaning
Emil Hardarson, Frida Ivarsson, Anna Sigridur Islind, Erna Sif Arnardóttir, María Óskarsdóttir
Australasian Conference on Information Systems (ACIS)
Discovering Unusual Study Patterns Using Anomaly Detection and XAI
Elena Tiukhova, Pavani Vemuri, María Óskarsdóttir, Stephan Poelmans, Bart Baesens, Monique Snoeck
57th Hawaii International Conference on System Sciences
2024
Two Sides of the Same Pillow: Unfolding the Relationship between Objective and Subjective Sleep Quality with Unsupervised Learning
Luka Biedebach, María Óskarsdóttir, Erna Sif Arnardóttir, Anna Sigridur Islind
International Conference on Information Systems
The Friendly Chatbot: Revealing why People use Chatbots through a Study of User Experience of Conversational Agents
Anna Sigridur Islind, María Óskarsdóttir, Svanhvít Ásta Smith, Erna Sif Arnard.ttir
Scandinavian Conference on Information Systems
Exploration of Sleep Events in the Latent Space of Variational Autoencoders on a Breath-by-Breath Basis​
Benedikt Holm, Anna Sigridur Islind, Erna Sif Arnard.ttir, María Óskarsdóttir
56th Hawaii International Conference on System Science
Making the Most of Slides and Lecture Captures for Better Performance: A Learning Analytics Case Study in Higher Education
Nidia Guadalupe López Flores, Anna Sigridur Islind, María Óskarsdóttir
56th Hawaii International Conference on System Science
Towards a Deeper Understanding of Sleep Stages through their Representation in the Latent Space of Variational Autoencoders
Luka Biedebach, Matias Rusanen, Benedikt Holm, Erna Sif Arnard.ttir, María Óskarsdóttir, Sami Nikkonen, Henri Korkalainen, Sami Myllymaa, Juha Töyräs, Samu Kainulainen, Timo Leppänen, Anna Sigridur Islind
Proceedings of the 56th Hawaii International Conference on System Science
2023
Influencer Detection with Dynamic Graph Neural Networks
Elena Tiukhova, Emiliano Penaloza, María Óskarsdóttir, Hernan Garcia, Alejandro Correa Bahnsen, Bart Baesens, Monique Snoek, Cristián Bravo
In NeurIPS 2022 Temporal Graph Learning Workshop
[poster]
Analysis of Discussion Forum Interactions for Different Teaching Modalities based on Temporal Social Networks
Nidia Guadalope López Flores, Anna Sigridur Islind, María Óskarsdóttir
Networks and Learning Analytics: Addressing Educational Challenges: NetSciLA
Towards a Digital Sleep Diary Standard
Lisa Schmitz, Bjarki Freyr Sveinbjarnarson, Gudni Natan Gunnarsson, Ólafur Andri Davíðsson, Þór Breki Davíðsson, Erna Sif Arnardottir, María Óskarsdóttir, Anna Sigridur Islind
American Conference on Information System
Collecting Data from a Mobile App and a Smartwatch Supports Treatment of Schizophrenia and Bipolar Disorder
Steinunn Gróa Sigurðardóttir, Anna Sigridur Islind, María Óskarsdóttir
Challenges of Trustable AI and Added-Value on Health
Exploring study profiles of Computer Science students with Social Network Analysis
Nidia Guadalupe López Flores, Anna Sigridur Islind, María Óskarsdóttir
55th Hawaii International Conference on System Science
Detecting potential money laundering addresses in the Bitcoin blockchain using unsupervised machine learning
Hilmar Stefánsson, Huginn Sær Grímsson, Jón Kristinn Þórðarson, María Óskarsdóttir
55th Hawaii International Conference on System Science
2022
Gaining Insights on Student Course Selection in Higher Education with Community Detection
Erla Guðrún Sturludóttir, Eydís Arnardóttir, Gísli Hjálmtýsson, María Óskarsdóttir
International Conference on Educational Data Mining
2021
Analysis of Tainted Transactions in the Bitcoin Blockchain Transaction Network
María Óskarsdóttir, Jacky Mallett, Arnþór Logi Arnarson, Alexander Snær Stefánsson
International Conference on Complex Networks and Their Applications
Interaction with Medical Venues in Megacities
María Óskarsdóttir, Anna Sigridur Islind
Studies in health technology and informatics
Evolution of credit risk using a personalized pagerank algorithm for multilayer networks
Cristián Bravo, María Óskarsdóttir
KDD Workshop on Machine Learning in Finance at KDD
[spotlight presentation, arxiv]
2020
Mining Behavioural Patterns in Urban Mobility Sequences Using Foursquare Check-in Data from Tokyo
Galina Deeva, Johannes De Smedt, Jochen De Weerdt, Maria Óskarsdóttirtir
International Conference on Complex Networks and Their Applications
Inductive representation learning on feature rich complex networks for churn prediction in telco
María Óskarsdóttir, Sander Cornette, Floris Deseure, Bart Baesens
International Conference on Complex Networks and Their Applications.
2019
Credit scoring for good: enhancing financial inclusion with smartphone-based microlending
María Óskarsdóttir, Crisitán Bravo, Carlos Sarraute, Bart Baesens, Jan Vanthienen
.International Conference on Information Systems
2018
A comparative study of social network classifiers for predicting churn in the telecommunication industry
María Óskarsdóttir, Crisitián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen
Advances in Social Networks Analysis and Mining (ASONAM), 2016 IEEE/ACM International Conference​
Automated analytics: The organizational impact of Analytics-as-a-Service
Tine Van Calster, Jasmien Lismont, María Óskarsdóttir, Seppe vanden Broucke, Bart Baesens, Jan Vanthienen,Wilfried Lemahieu
EI-KDD-16 workshop
[poster]
2016
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