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2020 – today
- 2024
[j15]Elena Tiukhova
, Emiliano Penaloza, María Óskarsdóttir, Bart Baesens, Monique Snoeck, Cristián Bravo:
INFLECT-DGNN: Influencer Prediction With Dynamic Graph Neural Networks. IEEE Access 12: 115026-115041 (2024)- [j14]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): 976-1005 (2024) - [j13]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: 114229 (2024) - [j12]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): 249-272 (2024) - [j11]Gabriel Jouan, Erna Sif Arnardóttir, 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): 352-365 (2024) - [j10]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 multicentric polysomnographic data incorporating expert human oversight. Frontiers Neuroinformatics 18 (2024) - [j9]Tim Verdonck, Bart Baesens, María Óskarsdóttir, Seppe vanden Broucke:
Special issue on feature engineering editorial. Mach. Learn. 113(7): 3917-3928 (2024) - [c25]Nidia Guadalupe López Flores, Víctor Uc-Cetina, Anna Sigridur Islind, María Óskarsdóttir:
Threads of Complexity: Lessons learnt from Predicting Student Failure through Discussion Forums' Social-Temporal Dynamics. EDM 2024 - [c24]Sara Willermark, Galina Deeva, Maria Óskarsdóttir, Anna Sigridur Islind:
Introduction to the Minitrack on Learning Analytics. HICSS 2024: 1415-1416 - [c23]Elena Tiukhova, Pavani Vemuri, Maria Óskarsdóttir, Stephan Poelmans, Bart Baesens, Monique Snoeck:
Discovering Unusual Study Patterns Using Anomaly Detection and XAI. HICSS 2024: 1427-1436 - [c22]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: 203-213 - [i14]Sahab Zandi, Kamesh Korangi, María Óskarsdóttir, Christophe Mues, Cristián Bravo:
Attention-based Dynamic Multilayer Graph Neural Networks for Loan Default Prediction. CoRR abs/2402.00299 (2024) - [i13]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 abs/2404.15313 (2024) - 2023
- [c21]Anna Sigridur Islind, Sara Willermark, Maria Óskarsdóttir, Galina Deeva:
Introduction to the Minitrack on Learning Analytics. HICSS 2023: 1269-1270 - [c20]Nidia Guadalupe López Flores, Maria Óskarsdóttir, Anna Sigridur Islind:
Making the Most of Slides and Lecture Captures for Better Performance: A Learning Analytics Case Study in Higher Education. HICSS 2023: 1291-1300 - [c19]Benedikt Thordarson, Anna Sigridur Islind, Erna Sif Arnardóttir, Maria Óskarsdóttir:
Exploration of Sleep Events in the Latent Space of Variational Autoencoders on a Breath-by-Breath Basis. HICSS 2023: 3091-3100 - [c18]Luka Biedebach, Matias Rusanen, Timo Leppänen, Anna Sigridur Islind, Benedikt Thordarson, Erna Sif Arnardóttir, Maria Óskarsdóttir, Henri Korkalainen, Sami Nikkonen, Samu Kainulainen, Juha Töyräs, Sami Myllymaa:
Towards a Deeper Understanding of Sleep Stages through their Representation in the Latent Space of Variational Autoencoders. HICSS 2023: 3111-3120 - [c17]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 - [i12]Elena Tiukhova, Emiliano Penaloza, María Óskarsdóttir, Bart Baesens, Monique Snoeck, Cristián Bravo:
INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks. CoRR abs/2307.08131 (2023) - 2022
- [j8]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): 82 (2022) - [c16]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 - [c15]Nidia Guadalupe López Flores, Anna Sigridur Islind, Maria Óskarsdóttir:
Exploring study profiles of Computer Science students with Social Network Analysis. HICSS 2022: 1-10 - [c14]Hilmar Páll Stefánsson, Huginn Sær Grímsson, Jón Kristinn Þórðarson, Maria Óskarsdóttir:
Detecting potential money laundering addresses in the Bitcoin blockchain using unsupervised machine learning. HICSS 2022: 1-10 - [c13]Tim Verdonck, Wouter Verbeke, Maria Óskarsdóttir, Bart Baesens:
Introduction to the Minitrack on Fraud Detection Using Machine Learning. HICSS 2022: 1-2 - [c12]Sara Willermark, Maria Óskarsdóttir, Anna Sigridur Islind, Galina Deeva:
Introduction to the Minitrack on Learning Analytics. HICSS 2022: 1-2 - [c11]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: 23-32 - [c10]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: 239-243 - [c9]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: 41-51 - [i11]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 abs/2211.09664 (2022) - 2021
- [j7]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): 292-305 (2021) - [c8]Erla Guðrún Sturludóttir, Eydís Arnardóttir, Gísli Hjálmtýsson, María Óskarsdóttir:
Gaining Insights on Student Course Selection in Higher Education with Community Detection. EDM 2021 - [c7]Galina Deeva, Sara Willermark, Anna Sigridur Islind, María Óskarsdóttir:
Introduction to the Minitrack on Learning Analytics. HICSS 2021: 1-2 - [i10]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 abs/2105.01432 (2021) - [i9]Erla Guðrún Sturludóttir, Eydís Arnardóttir, Gísli Hjálmtýsson, María Óskarsdóttir:
Gaining Insights on Student Course Selection in Higher Education with Community Detection. CoRR abs/2105.01589 (2021) - 2020
- [j6]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: 113553 (2020) - [c6]María Óskarsdóttir, Jacky Mallett, Arnþór Logi Arnarson, Alexander Snær Stefánsson:
Analysis of Tainted Transactions in the Bitcoin Blockchain Transaction Network. COMPLEX NETWORKS (2) 2020: 571-581 - [c5]María Óskarsdóttir, Anna Sigríður Islind:
Interaction with Medical Venues in Megacities. MIE 2020: 996-1000 - [i8]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 abs/2001.06700 (2020) - [i7]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 abs/2001.06701 (2020) - [i6]María Óskarsdóttir, Cristián Bravo, Carlos Sarraute, Bart Baesens, Jan Vanthienen:
Credit Scoring for Good: Enhancing Financial Inclusion with Smartphone-Based Microlending. CoRR abs/2001.10994 (2020) - [i5]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 abs/2002.09931 (2020) - [i4]Cristián Bravo, María Óskarsdóttir:
Evolution of Credit Risk Using a Personalized Pagerank Algorithm for Multilayer Networks. CoRR abs/2005.12418 (2020) - [i3]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 abs/2008.10505 (2020) - [i2]María Óskarsdóttir, Waqas Ahmed, Katrien Antonio, Bart Baesens, Rémi Dendievel, Tom Donas, Tom Reynkens:
Social network analytics for supervised fraud detection in insurance. CoRR abs/2009.08313 (2020) - [i1]María Óskarsdóttir, Cristián Bravo:
Multilayer Network Analysis for Improved Credit Risk Prediction. CoRR abs/2010.09559 (2020)
2010 – 2019
- 2019
- [j5]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: 26-39 (2019) - [j4]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): 679-693 (2019) - [c4]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: 845-853 - [c3]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: 931-943 - 2018
- [j3]María Óskarsdóttir, Bart Baesens, Jan Vanthienen:
Profit-Based Model Selection for Customer Retention Using Individual Customer Lifetime Values. Big Data 6(1): 53-65 (2018) - [j2]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: 55-65 (2018) - [c2]María Óskarsdóttir, Cristián Bravo, Carlos Sarraute, Bart Baesens, Jan Vanthienen:
Credit Scoring for Good: Enhancing Financial Inclusion with Smartphone-Based Microlending. ICIS 2018 - 2017
- [j1]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: 204-220 (2017) - 2016
- [c1]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: 1151-1158
Coauthor Index
aka: Anna Sigríður Islind
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last updated on 2024-10-31 20:18 CET by the dblp team
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