A growing number of colleges are embracing "womanist" theory and literature — books, essays and ideas centered on the experiences of Black women. Unlike white feminists, who struggle against male ...
This paper studies the fair influence maximization problem with efficient algorithms. In particular, given a graph G, a community structure C consisting of disjoint communities, and a budget k, the ...
Abstract: In the era of Artificial Intelligence and Machine Learning, data analysis is attracting higher attention in different areas which include finance, healthcare, weather systems and IOT ...
NEW YORK, Dec 3 (Reuters) - U.S. stocks advanced to close higher on Wednesday, as a flurry of economic data kept expectations elevated for an interest rate cut by the Federal Reserve next week, while ...
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From public health campaigns to information about social services, algorithms that identify “influencers” have been used to maximize reach. Vedran Sekara and colleagues used the independent cascade ...
ABSTRACT: Visual Sensor Networks (VSNs) focus on capturing data, extracting relevant information, and enabling communication. However, the presence of obstacles affects network efficiency, linking ...
Mikel Hernaez receives funding from the Spanish Ministry of Science, Innovation and Universities, the government of Navarra, the EU Department of Defence, the Carlos III Health Institute and the ...
Incomplete data significantly hampers risk analysis for high-sea maritime accidents (HSMAs). This paper introduces a novel multi-source data-driven Bayesian network (DDBN) framework to address this ...
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