Publications
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Machine Learning Methods for Metabolic Pathway Prediction
ML methods for pathway prediction perform as well as existing methods, and have qualitative advantages in terms of extensibility, tunability, and explainability.
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Observations of Ozone Production in a Dissipating Tropical Convective Cell During TC4
From 13 July–9 August 2007, 25 ozonesondes were launched from Las Tablas, Panama as part of the Tropical Composition, Cloud, and Climate Coupling (TC4) mission.
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Comprehensive Evaluation of Let-Dependence of Chromosome Aberrations After Particle Radiation Exposure in Vivo
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Distinguishing Methicillin-Resistant and Sensitive Staphylococcus Aureus Using Volatile Headspace Metabolites
This proof-of-concept study used solid-phase microextraction fibers (SPME) to collect headspace vapors from a methicillin sensitive Staphylococcus aureus (MSSA) and a methicillin-resistant Staphylococcus aureus (MRSA) strain grown in vitro in liquid growth medium.
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Dual Enrollment: Lessons Learned on School‐Level Implementation
This paper is based on a synthesis of findings from prior research. After first reviewing the status of Dual Enrollment across the Nation, we identify lessons learned and potential solutions…
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Engaging Youth with STEM Professionals in Afterschool Programs
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Fixpoints and Search in PVS
We use a mechanically checked proof of the Knaster–Tarski theorem to illustrate several features of the Prototype Verification System (PVS).
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Integrated Genomic Analysis Identifies Clinically Relevant Subtypes of Glioblastoma Characterized By Abnormalities in PDGFRA, IDH1, EGFR, and NF1
We provide a framework that unifies transcriptomic and genomic dimensions for GBM molecular stratification with important implications for future studies.
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Interactive Retrieval of Targets for Wide Area Surveillance
We address the problem of interactive search for a target of interest in surveillance imagery.
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Language Analytics for Assessing Brain Health: Cognitive Impairment, Depression and Pre-Symptomatic Alzheimers Disease
We present data demonstrating how brain health may be assessed by applying data-mining and text analytics to patient language.
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Leveraging speaker diarization for meeting recognition from distant microphones
We investigate using state-of-the-art speaker diarization output for speech recognition purposes.
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Absorption Angstrom Exponent in Aeronet and Related Data as an Indicator of Aerosol Composition
The main purpose of this paper is to show that AAE values for an Aerosol Robotic Network (AERONET) set of retrievals from Sun-sky measurements describing full aerosol vertical columns are…