Publications
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Error-Driven Generalist+Experts (EDGE): a Multi-Stage Ensemble Framework for Text Categorization
We introduce a multi-stage ensemble framework, Error-Driven Generalist+ Expert or Edge, for improved classification on large-scale text categorization problems.
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Generating Box Invariants
This paper also shows that the class of multiaffine systems, which has been used successfully for modeling and analyzing regulatory and biochemical reaction networks, can be generalized to the class…
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Genetics of Nicotine Dependence and Pharmacotherapy
Despite significant strides in the understanding of the relative contribution of genetic and environmental factors to nicotine dependence and treatment, emergent challenges necessitate interdisciplinary coordinated effort for effective problem solving
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Inspiratory Contrast for in Vivo Optical Imaging
We demonstrate the use of inspired oxygen and carbon dioxide as a possible route to increase contrast in optical imaging of cancerous tissue.
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Observations of Artificial and Natural Optical Emissions at the HAARP Facility
Extensive optical observations have been carried out at the High Frequency Active Auroral Research Program (HAARP) ionospheric heating facility since it began operations in 1999.
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RADAR: a Personal Assistant That Learns to Reduce Email Overload
This paper describes the integration of diverse AI technologies and presents results from human evaluation studies comparing RADAR user performance to unaided COTS tool users and users partnered with a…
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The Impact of Smoking Cessation on Sleep
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Usable Artificial Intelligence
The AI and HCI communities have often been characterized as having opposing views of how humans and computers should interact" observes Winograd in "Shifting Viewpoints". Reconciling these views requires a…
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End-Resonance Clock and All-Photonic Clock
Here, we report the most recent result of the end-resonance clock. In addition, we report a whole new technique, push-pull laser-atomic oscillator, which can be thought as all-photonic clock.
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High-Time Resolution Dayside Convection Monitoring By Incoherent Scatter Radar and a Sample Application
In this paper, we demonstrate that Sondrestrom incoherent scatter radar (ISR) observations have the ability to accurately monitor the dayside convection with ∼2.5 min temporal resolution.
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Improving NER in Arabic using a morphological tagger
We discuss a named entity recognition system for Arabic, and show how we incorporated the information provided by MADA, a full morphological tagger which uses a morphological analyzer.
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On Updates That Constrain the Features’ Connections During Learning
We investigate two online update techniques that share a sparsity preservation capacity: they allow for constraining the number of prediction connections that each feature can make.