Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Gediminas Adomavicius"'
Publikováno v:
Lietuvos Matematikos Rinkinys, Vol 44, Iss spec. (2004)
The secondary outcome of implementing the computerized application process for -studies at Lithuania's institutions of higher education is the availability of the collected data. An important problem is how to use this data effectively, e.g., how to
Externí odkaz:
https://doaj.org/article/9da5bc58bae241e0bb410f9caa7f9662
Autor:
Julian Wolfson, David M. Vock, Sunayan Bandyopadhyay, Thomas Kottke, Gabriela Vazquez‐Benitez, Paul Johnson, Gediminas Adomavicius, Patrick J. O'Connor
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 6, Iss 4 (2017)
BackgroundClinicians who are using the Framingham Risk Score (FRS) or the American College of Cardiology/American Heart Association Pooled Cohort Equations (PCE) to estimate risk for their patients based on electronic health data (EHD) face 4 questio
Externí odkaz:
https://doaj.org/article/cf61a2ff88ef4e0187a69ed34dcd8d5f
Publikováno v:
Sensors, Vol 17, Iss 9, p 2058 (2017)
We propose and compare combinations of several methods for classifying transportation activity data from smartphone GPS and accelerometer sensors. We have two main objectives. First, we aim to classify our data as accurately as possible. Second, we a
Externí odkaz:
https://doaj.org/article/d70901df28414a0dbb1d9eecf561ca6e
Publikováno v:
Information Systems Research. 33:1174-1195
Combinatorial auctions have seen limited applications in large-scale consumer-oriented marketplaces, partly due to the substantial complexity to keep track of auction status and formulate informed bidding strategies. We study the bidder support probl
Autor:
Gediminas Adomavicius, Mochen Yang
Publikováno v:
ACM Transactions on Management Information Systems. 13:1-27
Many important decisions are increasingly being made with the help of information systems that use artificial intelligence and machine learning models. These computational models are designed to discover useful patterns from large amounts of data, wh
Autor:
Yaqiong Wang, Gediminas Adomavicius
Publikováno v:
INFORMS Journal on Computing. 34:503-521
Numerical predictive modeling is widely used in different application domains. Although many modeling techniques have been proposed, and a number of different aggregate accuracy metrics exist for evaluating the overall performance of predictive model
Publikováno v:
SSRN Electronic Journal.
Autor:
Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
Publikováno v:
Sixteenth ACM Conference on Recommender Systems.
Publikováno v:
AI Magazine; Vol. 43 No. 2: Summer 2022; 177-189
Interactions between individuals and recommender systems can be viewed as a continuous feedback loop, consisting of pre-consumption and post-consumption phases. Pre-consumption, systems provide recommendations that are typically based on predictions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b45e6e61f3270d255eb84bbff0c37e30
https://ojs.aaai.org/index.php/aimagazine/article/view/18144
https://ojs.aaai.org/index.php/aimagazine/article/view/18144
Publikováno v:
ACM Transactions on Information Systems. 39:1-38
Prior research has shown a robust effect of personalized product recommendations on user preference judgments for items. Specifically, the display of system-predicted preference ratings as item recommendations has been shown in multiple studies to bi