Conceptual Synopses of Semantics in Social Networks Sharing Structured Data

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Motivation: Finding biosynthetic pathways is essential for metabolic engineering of organisms to produce chemicals, biodegradation prediction of pollutants and drugs, and for the elucidation of bioproduction pathways of secondary metabolites. A key step in ...

Stroke patients vary considerably in terms of outcomes: some patients present ‘natural’ recovery proportional to their initial impairment (fitters), while others do not (non-fitters). Thus, a key challenge in stroke rehabilitation is to identify individual ...

A common assumption in the social learning literature is that agents exchange information in an unselfish manner. In this work, we consider the scenario where a subset of agents aims at driving the network beliefs to the wrong hypothesis. The adversaries a ...

Ever since the links between the development of new technologies and economic growth became evident, researchers have attempted to study how the creation of knowledge fosters progress. If pushing the frontier of knowledge has an impact on progress and well ...

Datacenters are the heart of our digital lives. Online applications, such as social-networking and e-commerce, run inside datacenters under strict Service Level Objectives for their tail latency. Tight latency SLOs are necessary for such services to remain ...

We present an efficient and accurate people detection approach based on deep learning to detect people attacks and intrusion in video surveillance scenarios Unlike other approaches using background segmentation and pre-processing techniques, which are not ...

The articles in this special section focus on graph signal processing. Generically, the networks that sustain our societies can be understood as complex systems formed by multiple nodes, where global network behavior arises from local interactions between ...

Braided rivers form some of the most fascinating fluvial patterns found on Earth. They are identifiable by their unique morphology of complex networks of intertwined channels that spread across wide floodplains. Detailed knowledge of their dynamics is need ...

Studying real-world networks such as social networks or web networks is a challenge. These networks often combine a complex, highly connected structure together with a large size. We propose a new approach for large scale networks that is able to automatic ...

Network travel time reliability can be represented by a relationship between network space-mean travel time and the standard deviation of network travel time. The primary objective of this paper is to improve estimation of the network travel time reliabili ...

Conceptual Synopses of Semantics in Social Networks Sharing Structured Data

Chattez avec Graph Search

NICEpath: Finding metabolic pathways in large networks through atom-conserving substrate-product pairs

The structural connectome and motor recovery after stroke: predicting natural recovery

Social Learning Under Inferential Attacks

The organisation of science: topics, incentives and funding

Operating System and Network Co-Design for Latency-Critical Datacenter Applications

WatchNet plus plus : efficient and accurate depth-based network for detecting people attacks and intrusion

Graph Signal Processing: Foundations and Emerging Directions [From the Guest Editors]

Morphology and morphodynamics of braided rivers: an experimental investigation

Spikyball Sampling: Exploring Large Networks via an Inhomogeneous Filtered Diffusion

Estimating network travel time reliability with network partitioning