Zobrazeno 1 - 10
of 581
pro vyhledávání: '"Adomavicius, A."'
Despite increasing popularity in empirical studies, the integration of machine learning generated variables into regression models for statistical inference suffers from the measurement error problem, which can bias estimation and threaten the validi
Externí odkaz:
http://arxiv.org/abs/2303.02820
Today's research in recommender systems is largely based on experimental designs that are static in a sense that they do not consider potential longitudinal effects of providing recommendations to users. In reality, however, various important and int
Externí odkaz:
http://arxiv.org/abs/2108.11068
Autor:
Auksorius, Egidijus, Borycki, Dawid, Wegrzyn, Piotr, Sikorski, Bartosz L., Zickiene, Ieva, Lizewski, Kamil, Rapolu, Mounika, Adomavicius, Karolis, Tomczewski, Slawomir, Wojtkowski, Maciej
Publikováno v:
iScience, 25, 12, 105513, (2022)
One of the greatest needs in modern ophthalmology is access to the eye choroid in vivo. Without it, it is difficult to introduce new therapies and to understand most of the pathological changes in the eye, because of the total blood flow in the eye i
Externí odkaz:
http://arxiv.org/abs/2107.10672
Autor:
Borycki, Dawid, Auksorius, Egidijus, Węgrzyn, Piotr, Liżewski, Kamil, Tomczewski, Sławomir, Žičkienė, Ieva, Adomavičius, Karolis, Karnowski, Karol, Wojtkowski, Maciej
Publikováno v:
In Biocybernetics and Biomedical Engineering January-March 2024 44(1):264-275
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to 'mine' variables of interest from availab
Externí odkaz:
http://arxiv.org/abs/2012.10790
Due to accessible big data collections from consumers, products, and stores, advanced sales forecasting capabilities have drawn great attention from many companies especially in the retail business because of its importance in decision making. Improv
Externí odkaz:
http://arxiv.org/abs/2011.03452
Autor:
Adomavicius, Vytautas1 vytautas.adomavicius@ktu.lt, Simkoniene, Gintvile2 gintvile.simkoniene@ktu.lt, Dedenok, Artem1 artem.dedenok@ktu.edu
Publikováno v:
Engineering for Rural Development - International Scientific Conference. 2024, p601-607. 7p.
Autor:
Adomavicius, Vytautas1 vytautas.adomavicius@ktu.lt, Simkoniene, Gintvile2 gintvile.simkoniene@ktu.lt, Dedenok, Artem1 artem.dedenok@ktu.edu
Publikováno v:
Engineering for Rural Development - International Scientific Conference. 2024, p594-600. 7p.
Autor:
Abdollahpouri, Himan, Adomavicius, Gediminas, Burke, Robin, Guy, Ido, Jannach, Dietmar, Kamishima, Toshihiro, Krasnodebski, Jan, Pizzato, Luiz
Publikováno v:
User Model User-Adap Inter 30, 127-158 (2020)
Recommender systems are personalized information access applications; they are ubiquitous in today's online environment, and effective at finding items that meet user needs and tastes. As the reach of recommender systems has extended, it has become a
Externí odkaz:
http://arxiv.org/abs/1905.01986
Autor:
Adomavicius, Gediminas1 gedas@umn.edu, Bockstedt, Jesse C.2 bockstedt@emory.edu, Curley, Shawn P.1 curley@umn.edu, Jingjing Zhang3 jjzhang@indiana.edu
Publikováno v:
MIS Quarterly. Mar2022, Vol. 46 Issue 1, p627-643. 17p. 2 Color Photographs, 3 Diagrams, 4 Charts.