Results 161 to 170 of about 2,470,941 (295)
ABSTRACT With the aim to explore the potential of machine learning for nonprofit research, this article contrasts traditional linear regression with four contemporary supervised machine learning approaches. Concretely, we predict (1) reputation ratings and (2) the total number of volunteers for 4021 non‐profit organizations in the U.S.
Moritz Schmid +2 more
wiley +1 more source
Intent Arabic text categorisation based on different machine learning and term frequency
Abstract The complexity of Internet network configurations has made managing networks a complicated undertaking. Intent‐Based Networking (IBN) is a potential solution to this issue. In contrast to conventional networks, where a concrete description of the settings typically conveys a network administrator's goal kept on each device, an administrator's ...
Mohammad Fadhil Mahdi +1 more
wiley +1 more source
Population-scale network embeddings expose educational divides in network structure related to right-wing populist voting. [PDF]
Lüken M +4 more
europepmc +1 more source
Does Confidential Proxy Voting Matter? [PDF]
Confidential voting in corporate proxies is a principal recommendation in activist institutional investors' guidelines for corporate governance reforms. This paper examines the impact of the adoption of confidential voting on proposal outcomes through a ...
Roberta Romano
core
Turning Practices Into Performance: The Role of Implementation in Board Recruitment and Selection
ABSTRACT Recruiting and selecting board members in nonprofit organizations poses distinct challenges, given their reliance on volunteers and the difficulty of securing individuals who are both committed and capable of contributing to organizational performance.
William A. Brown, Nara Yoon, Mark Engle
wiley +1 more source
This work aims to improve the comprehensive role of big data technology in promoting social development and reduce the continuous emergence of social problems under the background of big data application. Abstract The purpose is to improve the security of the application of big data technology and ensure the stable development of society in the context
Xuejie Zhao
wiley +1 more source
Enhancing IoT botnet detection with explainable ensemble learning. [PDF]
Joseph L, M S, M V.
europepmc +1 more source
No‐analogue futures are characteristic of the Anthropocene, but how global change, and societies' responses, will affect plant invasions remains unclear. Conducting research now to address future needs is crucial for guiding invasion management and policy.
Jennifer L. Bufford +12 more
wiley +1 more source
XAI-Driven Intrusion Detection for Internet of Things Networks. [PDF]
Alqahtani A, Alakeel F, Abuhaimed L.
europepmc +1 more source
Efficient algorithm for designing weighted voting games [PDF]
Weighted voting games are mathematical models, used to analyse situations where voters with variable voting weight vote in favour of or against a decision. They have been applied in various political and economic organizations.
Paterson, Michael S. +2 more
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