Delphinids produce large numbers of short duration, broadband echolocation clicks which
may be useful for species classification in passive acoustic monitoring efforts. A challenge in …

Producing sports highlights is a labor-intensive work that requires some degree of
specialization. We propose a model capable of automatically generating sports highlights …

Methods A graph network was constructed from the publicly available COVID-19 Open
Research Dataset (CORD-19) of COVID-19-related publications using an engine leveraging …

The brain is one of the largest and most complex organs in the human body and EEG is a
noninvasive electrophysiological monitoring method that is used to record the electrical …

Existing task allocation algorithms often fail to consider communication load and do not meet
the scalability requirements of large-scale systems in practical applications. Furthermore …

DNA metabarcoding of faeces or gut contents has greatly increased our ability to construct
networks of predators and prey (food webs) by reducing the need to observe predation …

In this paper, we introduce a network-based methodology to study how political entities
evolve over time. We constructed networks of voting data from the Brazilian Chamber of …

Event-based egocentric dynamic networks are an important class of networks widely seen in
many domains. In this paper, we present a visual analytics approach for these networks by …

Pattern matching is a powerful graph analysis tool. Unfortunately, existing solutions have
limited scalability, support only a limited set of search patterns, and/or focus on only a subset …

To maximize the influence across multiple heterogeneous networks, we propose an
innovative cross-network learning model to study the influence maximization problem from …