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pro vyhledávání: '"Jagadish, HV"'
Algorithmic decisions often result in scoring and ranking individuals to determine credit worthiness, qualifications for college admissions and employment, and compatibility as dating partners. While automatic and seemingly objective, ranking algorit
Externí odkaz:
http://arxiv.org/abs/1804.07890
Publikováno v:
Proceedings of the 2022 International Conference on Management of Data.
Data integration has been extensively studied by the data management community and is a core task in the data pre-processing step of ML pipelines. When the integrated data is used for analysis and model training, responsible data science requires add
Autor:
Nagafuchi, Yoko, Lin, Yin, Mamgain, Kaushal, Asudeh, Abolfazl, Jagadish, HV, Wu, You, Yu, Cong
Given a data set, misleading conclusions can be drawn from it by cherry-picking selected samples. One important class of conclusions is a trend derived from a data set of values over time. Our goal is to evaluate whether the 'trends' described by the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0de6c17ed8ec32bbf05657407d9c9752
Autor:
Jagadish HV, Saxman Paul, Martini Sebastian, Eichinger Felix, Bhavnani Suresh K, Kretzler Matthias
Publikováno v:
BMC Bioinformatics, Vol 10, Iss Suppl 9, p S3 (2009)
Abstract Background Chronic renal diseases are currently classified based on morphological similarities such as whether they produce predominantly inflammatory or non-inflammatory responses. However, such classifications do not reliably predict the c
Externí odkaz:
https://doaj.org/article/9f2163b4873c44ccaa64e35ee0a956e1
Autor:
Asudeh, Abolfazl, Jagadish, HV
Human decision-makers often receive assistance from data-driven algorithmic systems that provide a score for evaluating objects, including individuals. The scores are generated by a function (mechanism) that takes a set of features as input and gener
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc799277cc795bbf5c7e2710f6808acb
http://arxiv.org/abs/1911.10073
http://arxiv.org/abs/1911.10073
Publikováno v:
BMC Bioinformatics, Vol 12, Iss 1, p 81 (2011)
Abstract Background Gene set enrichment testing has helped bridge the gap from an individual gene to a systems biology interpretation of microarray data. Although gene sets are defined a priori based on biological knowledge, current methods for gene
Externí odkaz:
https://doaj.org/article/cc7c716290fe4e418c4d16beafa0c49c
Publikováno v:
Proceedings of the VLDB Endowment; August 2018, Vol. 11 Issue: 12 p2165-2167, 3p
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