• Dynamo

  • Referenced in 30 articles [sw27495]
  • amazon’s highly available key-value store. Reliability at massive scale ... network components located in many datacenters around the world. At this scale, small and large ... face of these failures drives the reliability and scalability of the software systems. This paper...
  • Data2Dynamics

  • Referenced in 12 articles [sw25272]
  • networks for large datasets and complex experimental conditions and to perform efficient and reliable parameter...
  • DeepFool

  • Referenced in 21 articles [sw20937]
  • deep classifiers to such perturbations on large-scale datasets. In this paper, we fill this ... compute perturbations that fool deep networks, and thus reliably quantify the robustness of these classifiers...
  • Euk-PLoc

  • Referenced in 24 articles [sw22420]
  • PLoc: an ensemble classifier for large-scale eukaryotic protein subcellular location prediction. With the avalanche ... develop an automated method for fast and reliably identifying their subcellular locations because knowledge thus ... they interact with each other in cellular networking. However, predicting subcellular location of eukaryotic proteins ... annotated as being uncertain. The large-scale results will be updated twice a year...
  • MicroGrid

  • Referenced in 11 articles [sw09654]
  • dynamics. Large-scale Grids that aggregate and share resources over wide-area networks present major ... resource, and networks. The MicroGrid creates a virtual Grid environment – accurately modeling networks, resources ... resources and networks. The MicroGrid includes the MaSSF online network simulator which provides packet-level ... part of the online network simulator to the simulation of large networks. These techniques employ...
  • GasLib

  • Referenced in 35 articles [sw17977]
  • reliable and efficient operation of these pipeline networks is a permanent challenge ... difficult planning problems for gas transmission network operators. They are obliged to offer as much ... realized by the given gas transmission network. This requirement can hardly be verified with existing ... promote research on gas networks by providing a set of large and realistic benchmark instances...
  • VON

  • Referenced in 9 articles [sw07901]
  • virtual environments. The scalability of large-scale networked virtual environments (NVEs) such as today ... direction that applies peer-to-peer (P2P) networks in order to realize more scalable ... also propose the Voronoi-based overlay network (VON), a simple and efficient design that maintains ... methods while achieving high topology consistency and reliability...
  • REVEAL

  • Referenced in 29 articles [sw36999]
  • large data sets. Is it possible, in principle, to completely infer a complex regulatory network ... this possibility using binary models of genetic networks. Trajectories, or state transition tables of Boolean ... controlling each element or gene in the network. This process is unequivocal and exact ... pairs out of a possible 10(15)) reliably produced the original rule and wiring sets...
  • NeMoFinder

  • Referenced in 5 articles [sw29732]
  • large whole-genome S. cerevisiae (Yeast) PPI network. We also show that such network motifs ... systematically exploited for indexing the reliability of PPI data that were generated via highly erroneous...
  • SPIDER

  • Referenced in 5 articles [sw14387]
  • next generation of backbone and enterprise networks. Optical routers, dense wavelength division multiplexing (DWDM) systems ... unprecedented capacities are on the verge of large-scale commercial deployment. This massive buildup ... range of techniques for efficient and reliable optical network design, covering decentralized dedicated protection...
  • SYNTHIA Dataset

  • Referenced in 8 articles [sw35060]
  • SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes. Vision ... deep convolutional neural networks (DCNNs) foreshadow the advent of reliable classifiers to perform such visual...
  • GeSOp

  • Referenced in 1 article [sw36888]
  • method, called GeSOp, to optimize large gene network structures. The method is able to perform ... irrelevant relationships comprising the input network. To do so, the method is based ... means of two experiments on gene networks obtained from different organisms. The first experiment shows ... reliable method to optimize and improve the structure of large gene networks...
  • MI-GRAAL

  • Referenced in 3 articles [sw08318]
  • detecting molecular interactions have produced large sets of biological network data with much more ... Analogous to sequence alignment, efficient and reliable network alignment methods are expected to improve ... Unlike sequence alignment, network alignment is computationally intractable. Hence, devising efficient network alignment heuristics ... between network nodes (e.g. proteins), including, but not limited to, any topological network similarity measure...
  • UNA

  • Referenced in 3 articles [sw31603]
  • analysis outcomes, yielding more accurate and reliable results to any of the specified measures ... scale and detailed networks of dense urban areas, as well as large-scale regional networks...
  • ReactomeFIViz

  • Referenced in 1 article [sw25625]
  • network contexts is a powerful way to unravel patterns embedded in seemingly scattered large data ... ReactomeFIViz”, which utilizes a highly reliable gene functional interaction network combined with human curated pathways...
  • Situs

  • Referenced in 4 articles [sw09515]
  • Electron Microscopy. Three-dimensional image reconstructions of large-scale protein aggregates are routinely determined ... resolution data. Topology-representing neural networks are employed to vector-quantize and to correlate features ... macromolecules and is limited only by the reliability of the underlying structural data...
  • D2-Net

  • Referenced in 3 articles [sw42672]
  • work we address the problem of finding reliable pixel-level correspondences under difficult imaging conditions ... approach where a single convolutional neural network plays a dual role: It is simultaneously ... using pixel correspondences extracted from readily available large-scale SfM reconstructions, without any further annotations...
  • RETURNN

  • Referenced in 2 articles [sw26580]
  • optimized for fast and reliable training of recurrent neural networks in a multi-GPU environment ... forward neural networks; Sequence-chunking based batch training for recurrent; neural networks; Long short-term ... memory recurrent neural networks including our own fast CUDA kernel; Multidimensional LSTM (GPU only, there ... version); Memory management for large data sets; Work distribution across multiple devices; Flexible and fast...
  • netReg

  • Referenced in 1 article [sw42649]
  • netReg: network-regularized linear models for biological association studies. Modelling biological associations or dependencies using ... that this information will lead to more reliable estimates for regression coefficients. However, none ... graph-penalized regression models that use large networks and thousands of variables. netReg incorporates...
  • REV2

  • Referenced in 3 articles [sw40657]
  • Prediction in Rating Platforms. Rating platforms enable large-scale collection of user opinion about items ... user, reliability of a rating and goodness of a product. The fairness and reliability quantify ... user is fair if it provides reliable scores that are close to the goodness ... most unfair users in the Flipkart network to their review fraud investigators, and 127 users...