With the growth of cryptocurrency ecosystem, there is expanding evidence that counterfeit has also appeared. In this paper, we empirically explore presence cryptocurrencies on Ethereum and measure their impact. By analyzing over 190K ERC-20 tokens (or cryptocurrencies) Ethereum, have identified 2,117 target 94 100 most popular cryptocurrencies. We perform an end-to-end characterization token in...

An interdisciplinary team of scientists is collaborating to enhance the understanding of the uncertainty in the ocean environment, including the sea bottom, and characterize its impact on tactical system performance. To accomplish these goals quantitatively an end-to-end system approach is necessary. The conceptual basis of this approach and the framework of the end-to-end system, including its...

The overall goals of this research are: 1. To define and characterize the variabilities and uncertainties in the components and linkages of the general physical-geo-acoustical system relevant to the support of naval operations. 2. To transfer quantitatively the spatial-temporal environmental variabilities and uncertainties through the interdisciplinary system, including coupled interactions, in...

Computational story telling has sparked great interest in artificial intelligence, partly because of its relevance to educational and gaming applications. Traditionally, story generators rely on a large repository of background knowledge containing information about the story plot and its characters. This information is detailed and usually hand crafted. In this paper we propose a data-driven a...

Much work in Information Integration and the Semantic Web assumes that rich semantic models of sources exist. In practice, there is a tremendous amount of data on the Web, but it is typically hard to find, has little or no explicit structure, and there is rarely any semantic description of the data. We describe an integrated end-to-end system that can automatically discover web sources, invoke ...

We describe a supervised approach to predicting the set of all inflected forms of a lexical item. Our system automatically acquires the orthographic transformation rules of morphological paradigms from labeled examples, and then learns the contexts in which those transformations apply using a discriminative sequence model. Because our approach is completely data-driven and the model is trained ...

The 2016 Clinical TempEval challenge addresses temporal information extraction from clinical notes. The challenge is composed of six sub-tasks, each of which is to identify: (1) event mention spans, (2) time expression spans, (3) event attributes, (4) time attributes, (5) events’ temporal relations to the document creation times (DocTimeRel), and (6) narrative container relations among events a...

A framework for studying the end-to-end QOS mapping between the various levels of the transport protocol stack is presented. A platform for evaluating end-to-end QOS that supports concurrent network, transport and application level measurements is described. QOS measurements for various video clips indicate that the loss bound obtained under the assumption of uniformly distributed cell losses w...

● Architecture allows us to induce rules of predefined structure ● We can, for instance, incorporate the inductive bias of a transitivity relationship in the knowledge base θ1(X,Y) :θ2(X,Z), θ3(Z,Y). ● θi are vector representations for unknown predicates ● They can be learned like all other vector representations ● They can be decoded at test time by finding the closest known relation using the...

This paper describes the WHU IRLAB participation to the Total Recall Track in TREC 2015. We implement an end-to-end system to deal with the total recall task. We propose an iterative query expansion method, which construct queries using iteratively selected terms. We choose to participate the "Play-at-home" evaluation. Results are presented and discussed.