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ECCE: Entity-centric Corpus Exploration Using Contextual Implicit Networks

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In the Digital Age, the analysis and exploration of unstructured document collections is of central importance to members of investigative professions, whether they might be scholars, journalists, paralegals, or analysts. In many of their domains, entities ...

ACM Digital Press2022

SPICA: Swiss portal for immune cell analysis

Christian Iseli, Nicolas Jean Philippe Guex

Single-cell transcriptomics allows the study of immune cell heterogeneity at an unprecedented level of resolution. The Swiss portal for immune cell analysis (SPICA) is a web resource dedicated to the exploration and analysis of single-cell RNA-seq data of ...

OXFORD UNIV PRESS2022

Materials Cloud, a platform for open computational science

Berend Smit, Nicola Marzari, Giovanni Pizzi, Martin Uhrin, Fernando Gargiulo, Aliaksandr Yakutovich, Christoph Leopold Talirz, Sebastiaan Philippe Huber, Snehal Pramod Kumbhar, Casper Welzel Andersen

Materials Cloud is a platform designed to enable open and seamless sharing of resources for computational science, driven by applications in materials modelling. It hosts (1) archival and dissemination services for raw and curated data, together with their ...

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ResQ: Enabling SLOs in Network Function Virtualization

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Network Function Virtualization is allowing carriers to replace dedicated middleboxes with Network Functions (NFs) consolidated on shared servers, but the question of how (and even whether) one can achieve performance SLOs with software packet processing r ...

USENIX ASSOC2018

Multimedia Terminal Architecture: An Inter-Operable Approach

Marco Mattavelli, Beilu Shao

This paper addresses the inter-operability problem of multimedia terminal in media content delivery over heterogeneous networks and devices. We design and implement a terminal which includes a content browser providing presentation, navigation and interact ...

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A Rapid Bootstrap Algorithm for the RAxML Web Servers

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Despite recent advances achieved by application of high-performance computing methods and novel algorithmic techniques to maximum likelihood (ML)-based inference programs, the major computational bottleneck still consists in the computation of bootstrap su ...

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