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pro vyhledávání: '"Tom Arjannikov"'
Publikováno v:
IEEE Transactions on Computational Social Systems. 7:659-671
A social crowdsourcing community (SCC) is a moderated online community where members participate in activities designed to elicit their opinions concerning topics related to products or services. This emerging paradigm of human computation systems is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f49fe8ffcf12afbbae69d44c6e68c8a
https://doi.org/10.1109/tcss.2020.2981608
https://doi.org/10.1109/tcss.2020.2981608
Autor:
Tom Arjannikov, George Tzanetakis
Publikováno v:
ICHI
Reliably predicting the length of stay of patients in a hospital based on their demographic and clinical characteristics as well as the care they received can inform hospital planning, particularly in novel response scenarios such as Covid-19. Positi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::473891b3ec22adcacfeeb3a495da151d
https://doi.org/10.1109/ichi52183.2021.00019
https://doi.org/10.1109/ichi52183.2021.00019
Autor:
Tom Arjannikov, George Tzanetakis
Publikováno v:
BHI
Accurately predicting the in-hospital length of stay (LOS) at the time of admission can positively impact healthcare metrics. Machine learning (ML) techniques have been used to predict hospital patients’ LOS based on their demographic and clinical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eeac7c79897e39bf282a693aa2af3e1e
https://doi.org/10.1109/bhi50953.2021.9508596
https://doi.org/10.1109/bhi50953.2021.9508596
Publikováno v:
IEEE Transactions on Computational Social Systems. 7:1317-1317
In the above article [1] , the byline should have identified the second author with his ORCID (0000-0001-8762-6820). Also, the caption of Fig. 14 should have read as follows
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45276613f2421d43f8424f7e664c9283
https://doi.org/10.1109/tcss.2020.3026515
https://doi.org/10.1109/tcss.2020.3026515
Autor:
George Tzanetakis, Tom Arjannikov
Publikováno v:
ICMLA
In this paper, we demonstrate how to use asymmetric data relabeling based on feature histograms as a pre-processing step for improving the overall classification performance of different classifiers in situations when only positive and unlabeled data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::109915905e2b00b349665268a3539ebf
https://doi.org/10.1109/icmla.2017.000-8
https://doi.org/10.1109/icmla.2017.000-8
Publikováno v:
ARES
In the recent decades computing systems have become ubiquitous in our daily life. Due to wear and tear, limited component lifetime, and extraneous factors, among other reasons, all of the systems that we design and implement are subject to failure. O
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9027d9f52915a56b74c76208424aa8bd
https://doi.org/10.1145/3098954.3098979
https://doi.org/10.1145/3098954.3098979
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2016 ISBN: 9783319447803
ICANN (2)
ICANN (2)
Music plays an important role in many people’s lives. When listening to music, we usually choose those music pieces that best suit our current moods. However attractive, automating this task remains a challenge. To this end the approaches in the li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::519aaa0326740839b3aed93b101ba20a
https://doi.org/10.1007/978-3-319-44781-0_24
https://doi.org/10.1007/978-3-319-44781-0_24
Autor:
Tom Arjannikov, John Z. Zhang
Publikováno v:
ICMLA
Ensemble learning approaches have been gaining popularity in the non-trivial task of multi-class classification. Some of these, including 1-against-1, 1-against-all, and dichotomy-based methods, are based on decomposing the class space of a multi-cla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d4c45032ee1c9b007ec57348a851092
https://doi.org/10.1109/icmla.2015.180
https://doi.org/10.1109/icmla.2015.180