Results 21 to 30 of about 4,233,926 (393)
Facebook FAIR’s WMT19 News Translation Task Submission [PDF]
Conference on Machine Translation, 2019 This paper describes Facebook FAIR’s submission to the WMT19 shared news translation task. We participate in four language directions, English German and English Russian in both directions.
Nathan Ng +5 more
semanticscholar +1 more source
The FAIR Cookbook - the essential resource for and by FAIR doers
Scientific Data, 2023 The notion that data should be Findable, Accessible, Interoperable and Reusable, according to the FAIR Principles, has become a global norm for good data stewardship and a prerequisite for reproducibility.
P. Rocca-Serra +31 more
semanticscholar +1 more source
BMC Medical Research Methodology, 2017 Background More patient-specific medical care is expected as more is learned about variations in patient responses to medical treatments. Analytical tools enable insights by linking treatment responses from different types of studies, such as randomized ...
Joe Alexander +9 more
doaj +1 more source
Analysis and simulation of a fair queueing algorithm
Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, 1989 We discuss gateway queueing algorithms and their role in controlling congestion in datagram networks. A fair queueing algorithm, based on an earlier suggestion by Nagle, is proposed.
A. Demers, S. Keshav, S. Shenker
semanticscholar +1 more source
Publication of Atmospheric Model Data using the ATMODAT Standard
Meteorologische Zeitschrift, 2022 Scientific data should be published in a way so that other scientists can benefit from these data, enabling further research. The FAIR Data Principles are defining the basic prerequisite for a good data publication: data should be Findable, Accessible ...
Anette Ganske +4 more
doaj +1 more source
FA*IR: A Fair Top-k Ranking Algorithm [PDF]
International Conference on Information and Knowledge Management, 2017 In this work, we define and solve the Fair Top-k Ranking problem, in which we want to determine a subset of k candidates from a large pool of n » k candidates, maximizing utility (i.e., select the "best" candidates) subject to group fairness criteria ...
Meike Zehlike +5 more
semanticscholar +1 more source
Quality Management Framework for Climate Datasets
Data Science Journal, 2022 Data from a variety of research programmes are increasingly used by policy makers, researchers, and private sectors to make data-driven decisions related to climate change and variability.
Carlo Lacagnina +22 more
doaj +1 more source
FAIR Principles: Interpretations and Implementation Considerations
Data Intelligence, 2020 The FAIR principles have been widely cited, endorsed and adopted by a broad range of stakeholders since their publication in 2016. By intention, the 15 FAIR guiding principles do not dictate specific technological implementations, but provide guidance ...
Annika Jacobsen +43 more
semanticscholar +1 more source
Delayed Impact of Fair Machine Learning [PDF]
International Conference on Machine Learning, 2018 Static classification has been the predominant focus of the study of fairness in machine learning. While most models do not consider how decisions change populations over time, it is conventional wisdom that fairness criteria promote the long-term well ...
Lydia T. Liu +4 more
semanticscholar +1 more source
East Asian Economic Review, 2012 This paper examines how a Korean automobile firm price-discriminates between the Korean and the U.S. markets. We argue that a Korean automobile firm's pricing behavior depends on the differences in price elasticity over the segmented markets between the ...
Woong Lee , Hyung Ju Hong
doaj +1 more source