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Repurposing Benchmark Corpora for Reconstructing Provenance

by Sara Magliacane, Paul Groth
"... Abstract. Provenance is a critical aspect in evaluating scientific output, yet, it is still often overlooked or not comprehensively produced by practitioners. This incomplete and partial nature of provenance has been recognized in the literature, which has led to the development of new methods for r ..."
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for reconstructing missing provenance. Unfortunately, there is currently no agreed upon evaluation framework for testing these methods. Moreover, there is a paucity of datasets that these methods can be applied to. To begin to address this gap, we present a survey of existing benchmark corpora from other computer

Using Provenance Patterns to Vet Sensitive Behaviors in Android Apps

by Chao Yang, Guangliang Yang, Ashish Gehani, Vinod Yegneswaran Dawood Tariq
"... Summary. We propose Dagger, a lightweight system to dynamically vet sens-itive behaviors in Android apps. Dagger avoids costly instrumentation of virtual machines or modifications to the Android kernel. Instead, Dagger reconstructs the program semantics by tracking provenance relationships and obser ..."
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Summary. We propose Dagger, a lightweight system to dynamically vet sens-itive behaviors in Android apps. Dagger avoids costly instrumentation of virtual machines or modifications to the Android kernel. Instead, Dagger reconstructs the program semantics by tracking provenance relationships

Remembering over the short-term: The case against the standard model.

by James S Nairne - Annual Review of Psychology, , 2002
"... s Abstract Psychologists often assume that short-term storage is synonymous with activation, a mnemonic property that keeps information in an immediately accessible form. Permanent knowledge is activated, as a result of on-line cognitive processing, and an activity trace is established "in&quo ..."
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interference by using different items on every trial and reconstruction of order as the retention measure; in a reconstruction test the just-presented items are given back in random order and the task is to place the items into their original presentation order. Under these conditions very little evidence

Harnessing Diversity towards the Reconstructing of Large Scale Gene Regulatory Networks

by Takeshi Hase, Samik Ghosh, Ryota Yamanaka, Hiroaki Kitano
"... Elucidating gene regulatory network (GRN) from large scale experimental data remains a central challenge in systems biology. Recently, numerous techniques, particularly consensus driven approaches combining different algorithms, have become a potentially promising strategy to infer accurate GRNs. He ..."
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. Here, we develop a novel consensus inference algorithm, TopkNet that can integrate multiple algorithms to infer GRNs. Comprehensive performance benchmarking on a cloud computing framework demonstrated that (i) a simple strategy to combine many algorithms does not always lead to performance improvement

A Nanopublication Framework for Biological Networks using Cytoscape.js

by James P. Mccusker, Rui Yan, Kusum Solanki, John Erickson, Cynthia Chang, Michel Dumontier, Jonathan S. Dordick, Deborah L. Mcguinness
"... Abstract—We leverage semantic technologies and Cytoscape.js to create a provenance-aware, probabilistic analysis platform for systems biology and evaluate its usefulness in discovering links between drugs and diseases. In our efforts to create a system-atic approach to discovering new uses for exist ..."
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Abstract—We leverage semantic technologies and Cytoscape.js to create a provenance-aware, probabilistic analysis platform for systems biology and evaluate its usefulness in discovering links between drugs and diseases. In our efforts to create a system-atic approach to discovering new uses

and Media Informatics,

by Illés Solt, Roman Klinger Ulf Leser, Unter Den Linden, Magyar Tudósok Körútja
"... Most relation extraction methods, especially in the domain of biology, rely on machine learning methods to classify a cooccurring pair of entities in a sentence to be related or not. Such an approach requires a training corpus, which involves expert annotation and is tedious, timeconsuming, and expe ..."
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results on several publicly available benchmark corpora. 1

Medieval perspectives in Europe: Oral culture and bodily practices 1. Oral culture in the Middle Ages 2. Bodily signs: Structure and semantics 3. Areas of application

by unknown authors
"... Prior to the invention of book printing, Western culture had no efficient storage medium that served to unburden human memory. Instead of writing a mnemotechnics based on the visual perception of bodily movements, took over the functions of orienting, identify-ing, and stabilizing the social order i ..."
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of various source corpora, could not encompass all the motion sequences that took place in the context of different interactions. Nevertheless, it has proven useful to treat socially meaningful actions as communicative acts within the contexts of 1) religion, 2) law, 3) ceremonial and 4) etiquette.

Robust Face Recognition by Hierarchical Kernel Associative Memory Models Based on Spatial Domain Gabor Transforms

by Bai-ling Zhang, Pietro Cerone, Yongsheng Gao
"... Abstract — Face recognition can be studied as an associative memory (AM) problem and kernel-based AM models have been proven efficient. In this paper, a hierarchical Kernel Associative Memory (KAM) face recognition scheme with a multiscale Gabor transform, is proposed. The pyramidal multiscale Gabor ..."
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Abstract — Face recognition can be studied as an associative memory (AM) problem and kernel-based AM models have been proven efficient. In this paper, a hierarchical Kernel Associative Memory (KAM) face recognition scheme with a multiscale Gabor transform, is proposed. The pyramidal multiscale

Learning Speaker-Specific Characteristics with a Deep Neural Architecture

by Ke Chen, Ahmad Salman , 2011
"... Speech signals convey various yet mixed information ranging from linguistic to speaker-specific information. However, most of acoustic representations characterize all different kinds of information as whole, which could hinder either a speech or a speaker recognition (SR) system from producing a b ..."
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) benchmarks and two non-English corpora, we demonstrate that our overcomplete representation is robust in characterizing various speakers, no matter whether their utterances have been used in training our DNA, and highly insensitive to text and languages spoken. Extensive comparative studies suggest that our

Systems biology Advance Access publication November 12, 2010 Inference of gene networks—application to Bifidobacterium

by Darong Lai, Xinyi Yang, Gang Wu, Yuanhua Liu, Christine Nardini, Joaquin Dopazo , 2010
"... Motivation: The reliable and reproducible identification of gene interaction networks represents one of the grand challenges of both modern molecular biology and computational sciences. Approaches based on careful collection of literature data and network topological analysis, applied to unicellular ..."
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the interactions occurring among genes, starting from gene expression steady state data. Results: The algorithm was first validated on synthetic and real benchmarks. It was then applied to the reconstruction of the core of the amino acids metabolism in Bifidobacterium longum, an essential, yet poorly known player
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