Institution
Mitre Corporation
Company•Bedford, Massachusetts, United States•
About: Mitre Corporation is a company organization based out in Bedford, Massachusetts, United States. It is known for research contribution in the topics: Air traffic control & National Airspace System. The organization has 4884 authors who have published 6053 publications receiving 124808 citations. The organization is also known as: Mitre & MITRE.
Topics: Air traffic control, National Airspace System, Information system, Air traffic management, Communications system
Papers published on a yearly basis
Papers
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07 Jul 2001TL;DR: A set of guidelines for annotating time expressions with a canonicalized representation of the times they refer to, and methods for extracting such time expressions from multiple languages are described.
Abstract: This paper introduces a set of guidelines for annotating time expressions with a canonicalized representation of the times they refer to, and describes methods for extracting such time expressions from multiple languages.
51 citations
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TL;DR: Analyzing the structure and dynamics of the origin and destination of core air travel market demand using 1995–2006 US quarterly time-series data finds that super-thin markets have lost services while other markets gained.
51 citations
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04 Nov 1996TL;DR: Attributes of both the software maintenance process and the resulting product were measured to direct management and engineering attention toward improvement areas, track the improvement over time, and help make choices among alternatives.
Abstract: Software maintenance is central to the mission of many organizations. Thus, it is natural for managers to characterize and measure those aspects of products and processes that seem to affect the cost, schedule, quality and functionality of software maintenance delivery. This paper answers basic questions about software maintenance for a single organization and discusses some of the decisions made based on the answers. Attributes of both the software maintenance process and the resulting product were measured to direct management and engineering attention toward improvement areas, track the improvement over time, and help make choices among alternatives.
50 citations
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09 Nov 2007TL;DR: This work correctly identifies the content portion of web-pages anywhere from 80-97% of the time depending on experimental factors such as ensuring the absence of duplicate documents and application of the model against unseen sources.
Abstract: Identifying which parts of a Web-page contain target content (e.g., the portion of an online news page that contains the actual article) is a significant problem that must be addressed for many Web-based applications. Most approaches to this problem involve crafting hand-tailored rules or scripts to extract the content, customized separately for particular Web sites. Besides requiring considerable time and effort to implement, hand-built extraction routines are brittle: they fail to properly extract content in some cases and break when the structure of a site's Web-pages changes. In this work we treat the problem of identifying content as a sequence labeling problem, a common problem structure in machine learning and natural language processing. Using a Conditional Random Field sequence labeling model, we correctly identify the content portion of web-pages anywhere from 80-97% of the time depending on experimental factors such as ensuring the absence of duplicate documents and application of the model against unseen sources.
50 citations
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TL;DR: A high capacity (twelve-channel) fiber optic wavelength demultiplexer incorporating a large diameter GRIN rod lens and grating was developed and fully characterized.
Abstract: A high capacity (twelve-channel) fiber optic wavelength demultiplexer incorporating a large diameter GRIN rod lens and grating was developed and fully characterized. The demultiplexer operates over the 740–930-nm wavelength range with an average channel spacing of 17 nm. The insertion loss, measured and averaged over all twelve channels, was ~3 dB, and the average adjacent channel optical cross talk was 32 dB.
50 citations
Authors
Showing all 4896 results
Name | H-index | Papers | Citations |
---|---|---|---|
Sushil Jajodia | 101 | 664 | 35556 |
Myles R. Allen | 82 | 295 | 32668 |
Barbara Liskov | 76 | 204 | 25026 |
Alfred D. Steinberg | 74 | 295 | 20974 |
Peter T. Cummings | 69 | 521 | 18942 |
Vincent H. Crespi | 63 | 287 | 20347 |
Michael J. Pazzani | 62 | 183 | 28036 |
David Goldhaber-Gordon | 58 | 192 | 15709 |
Yeshaiahu Fainman | 57 | 648 | 14661 |
Jonathan Anderson | 57 | 195 | 10349 |
Limsoon Wong | 55 | 367 | 13524 |
Chris Clifton | 54 | 160 | 11501 |
Paul Ward | 52 | 408 | 12400 |
Richard M. Fujimoto | 52 | 290 | 13584 |
Bhavani Thuraisingham | 52 | 563 | 10562 |