Publications
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Efficient online learning and prediction of users’ desktop actions
We investigate prediction of users’ desktop activities in the Unix domain. We show that simple efficient many-class learning can perform well for action prediction, significantly improving over previously published results…
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Frizzled 8 Activation By WNT-2 and Synergistic Up-Regulation in Lung Cancer
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Gradient-Type Minimization Methods for Initializing State Variables in GPS/Ins Integration
This paper describes an alternative to linear filtering methods for processing a combination of IMU data and GPS data when there is only a limited time to estimate state variables.
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Micro-Propulsion System of a Thermospheric Explorer Cubesat
The major design driver for the Dipping Thermospheric Explorer (DipTE) CubeSat mission is that the satellite shall fly a significant amount of orbit arcs at altitudes of 300km and below.…
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Processing of Emotional and Alcohol Stimuli in Chronic Alcoholism
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Studying the Salt Dependence of the Binding of Sigma 70 and Sigma 32 to Core RNA Polymerase Using Luminescence Resonance Energy Transfer
Here we describe an LRET binding assay used to monitor the interaction of E. coli σ70 and σ32 with core RNA polymerase along with the controls to verify the system.
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Testing Aerosol Properties in MODIS Collection 4 and 5 Using Airborne Sunphotometer Observations in INTEX-B/MILAGRO
We compare AATS retrievals of spectral aerosol optical depth (AOD) and related aerosol properties with corresponding spatially coincident and temporally near-coincident measurements acquired by the MODIS-Aqua and MODIS-Terra satellite sensors.
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The Impact of Smoking Cessation and Pharmacotherapy on Sleep Assessed Across the First 10 Days After Quitting
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BLADE: Slashing the Invisible Channel of Drive-By Download Malware
We present BLADE (Block All Drive-by download Exploits), a browser-independent system that seeks to eliminate the threat of drive-by downloads, one of the dominant means through which mass malware infections…
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Designing for Usability of an Adaptive Time Management Assistant
This case study article describes the iterative design process of an adaptive, mixed-initiative calendaring tool with embedded artificial intelligence.
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Detection of Imperative and Declarative Question-Answer Pairs in Email Conversations
Building on prior work, our methods are based on learned models over a set of features that include the content, context, and structure of email threads.
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Evolutionary Sequence Modeling for Discovery of Peptide Hormones
We describe a computational framework that models spatial structure along the genomic sequence simultaneously with the temporal evolutionary path structure across species and show how such models can be used to discover…