An Empirical Analysis of Racial Differences in Police Use of Force [PDF]
, 2016 This paper explores racial differences in police use of force. On non-lethal uses of force, blacks and Hispanics are more than fifty percent more likely to experience some form of force in interactions with police.
Roland G. Fryer, Jr
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iPSCORE: A Resource of 222 iPSC Lines Enabling Functional Characterization of Genetic Variation across a Variety of Cell Types. [PDF]
, 2017 Large-scale collections of induced pluripotent stem cells (iPSCs) could serve as powerful model systems for examining how genetic variation affects biology and disease.
Adler, Eric +47 more
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Proof Learning in PVS With Utility Pattern Mining
IEEE Access, 2020 Interactive theorem provers (ITPs) are software tools that allow human users to write and verify formal proofs. In recent years, an emerging research area in ITPs is proof mining, which consists of identifying interesting proof patterns that can be used ...
M. Saqib Nawaz +2 more
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Inferring a Transcriptional Regulatory Network from Gene Expression Data Using Nonlinear Manifold Embedding [PDF]
, 2010 Transcriptional networks consist of multiple regulatory layers corresponding to the activity of global regulators, specialized repressors and activators of transcription as well as proteins and enzymes shaping the DNA template.
Hossein Zare +2 more
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IEEE Access, 2022 The field of data mining is progressing rapidly presenting researchers with many opportunities for research. Sequential pattern mining is a popular and long established technique in data mining which extracts data in the form of sequential patterns ...
Ritika, Sunil Kumar Gupta
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Ecological validity of a simplified version of the multiple errands shopping test [PDF]
, 2003 Shallice and Burgess (1991) reported the utility of the Multiple Errands Test (MET) in discriminating executive deficits in three frontal lobe patients with preserved high IQ, who were otherwise unimpaired on tests of executive function.
Alderman, N +3 more
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Incrementally Updating the Discovered High Average-Utility Patterns With the Pre-Large Concept
IEEE Access, 2020 High average-utility itemset mining (HAUIM) is an extension of high-utility itemset mining (HUIM), which provides a reliable measure to reveal utility patterns by considering the length of the mined pattern.
Jimmy Ming-Tai Wu +3 more
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Efficient Algorithm for High Utility Pattern Mining Based on Top-k [PDF]
Jisuanji gongcheng, 2019 Getting the high utility pattern through user-specified threshold is inefficient,and the result of mining may not satisfy user’s needs.Therefore,an efficient Top-k pattern mining algorithm based on EFIM algorithm is proposed.The number of high utility ...
ZHAO Linliu,LV Xin,TAO Feifei
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Interpretable Classifier Models for Decision Support Using High Utility Gain Patterns
IEEE AccessEnsemble models such as gradient boosting and random forests are proven to offer the best predictive performance on a wide variety of supervised learning problems.
Srikumar Krishnamoorthy
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An Algorithm for Mining High Utility Sequential Patterns with Time Interval
Cybernetics and Information Technologies, 2019 Mining High Utility Sequential Patterns (HUSP) is an emerging topic in data mining which attracts many researchers. The HUSP mining algorithms can extract sequential patterns having high utility (importance) in a quantitative sequence database.
Duong Tran Huy +4 more
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