Zobrazeno 1 - 10
of 131
pro vyhledávání: '"ÓskarsdÓttir, MarÍa"'
Autor:
Pétursson, Ísak, Óskarsdóttir, María
We present a novel approach for predicting the distribution of asset returns using a quantile-based method with Long Short-Term Memory (LSTM) networks. Our model is designed in two stages: the first focuses on predicting the quantiles of normalized a
Externí odkaz:
http://arxiv.org/abs/2410.23296
Autor:
Holm, Benedikt, Jouan, Gabriel, Hardarson, Emil, Sigurðardottir, Sigríður, Hoelke, Kenan, Murphy, Conor, Arnardóttir, Erna Sif, Óskarsdóttir, María, Islind, Anna Sigríður
Polysomnographic recordings are essential for diagnosing many sleep disorders, yet their detailed analysis presents considerable challenges. With the rise of machine learning methodologies, researchers have created various algorithms to automatically
Externí odkaz:
http://arxiv.org/abs/2404.15313
Whereas traditional credit scoring tends to employ only individual borrower- or loan-level predictors, it has been acknowledged for some time that connections between borrowers may result in default risk propagating over a network. In this paper, we
Externí odkaz:
http://arxiv.org/abs/2402.00299
Autor:
Tiukhova, Elena, Penaloza, Emiliano, Óskarsdóttir, María, Baesens, Bart, Snoeck, Monique, Bravo, Cristián
Publikováno v:
IEEE Access, 12, 115026-115041 (2024)
Leveraging network information for predictive modeling has become widespread in many domains. Within the realm of referral and targeted marketing, influencer detection stands out as an area that could greatly benefit from the incorporation of dynamic
Externí odkaz:
http://arxiv.org/abs/2307.08131
Autor:
Sigurðardóttir, Steinunn Gróa, Óskarsdóttir, María, Ingimarsson, Oddur, Islind, Anna Sigridur
Publikováno v:
Journal of Workplace Learning, 2023, Vol. 36, Issue 3, pp. 209-222.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JWL-11-2022-0149
Autor:
Tiukhova, Elena, Penaloza, Emiliano, Óskarsdóttir, María, Garcia, Hernan, Bahnsen, Alejandro Correa, Baesens, Bart, Snoeck, Monique, Bravo, Cristián
Leveraging network information for prediction tasks has become a common practice in many domains. Being an important part of targeted marketing, influencer detection can potentially benefit from incorporating dynamic network representation. In this w
Externí odkaz:
http://arxiv.org/abs/2211.09664
Autor:
Holm, Benedikt, ÓskarsdÓttir, MarÍa, ArnardÓttir, Erna S., Serwatko, Marta, Mallett, Jacky, Borsky, Michal
In this paper, we introduce a novel algorithm designed to isolate individual respiratory cycles on a thoracic respiratory inductance plethysmography signal. The algorithm locates breaths using signal processing and statistical methods and enables the
Externí odkaz:
http://arxiv.org/abs/2203.01828
Publikováno v:
In European Journal of Operational Research 1 September 2024 317(2):352-365
Autor:
De Bock, Koen W., Coussement, Kristof, Caigny, Arno De, Słowiński, Roman, Baesens, Bart, Boute, Robert N., Choi, Tsan-Ming, Delen, Dursun, Kraus, Mathias, Lessmann, Stefan, Maldonado, Sebastián, Martens, David, Óskarsdóttir, María, Vairetti, Carla, Verbeke, Wouter, Weber, Richard
Publikováno v:
In European Journal of Operational Research 1 September 2024 317(2):249-272
Autor:
Islind, Anna Sigridur, Óskarsdóttir, María, Cot, Corentin, Cacciapaglia, Giacomo, Sannino, Francesco
In this paper we analyze the impact of vaccinations on spread of the COVID-19 virus for different age groups. More specifically we examine the deployment of vaccines in the Nordic countries in a comparative analysis where we analyze factors such as h
Externí odkaz:
http://arxiv.org/abs/2109.11517