Publications
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Regional Manifold Learning for Disease Classification
We use the regional manifolds as low-dimensional descriptors of high-dimensional morphological image features, which are then fed into a classifier to identify regions affected by disease.
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Design and Synthesis of Molecular Probes for the Determination of the Target of the Anthelmintic Drug Praziquantel
In this Letter, we report an efficient protocol for the small-scale separation of enantiomers of 2 (hydrolyzed PZQ) using supercritical fluid chromatography (SFC).
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Evidence of Recovery in Cortico-Cardiac Activity During Sleep in Recently Detoxified Alcoholics
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Sobriety Length and Lifetime Alcohol Consumption Modulate Brain Response to Emotional Faces and Alcohol Pictures in Abstinent Alcoholics
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Association between Personality Traits and DSM-IV Diagnosis of Insomnia in Peri- and Postmenopausal Women
The aim of this study was to determine the role of personality factors in the development of DSM-IV insomnia coincident with perimenopause.
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Trial-Based Calibration for Speaker Recognition in Unseen Conditions
This work presents Trial-Based Calibration (TBC), a novel, automated calibration technique robust to both unseen and widely varying conditions.
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Radiation induced defects in poly(3-alkylthiophene)
We therefore will discuss density functional calculations of the energy barriers that must be surmounted to form hydrogen related defects in polymers such as poly(3-alkylthiophene).
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Constrained Optimal Selection for Multi-Sensor Robot Navigation Using Plug-and-Play Factor Graphs
This paper proposes a real-time navigation approach that is able to integrate many sensor types while fulfilling performance needs and system constraints.
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Additive Printing and Assembly for Large Area Electronic Systems
An example flexible hybrid system that wirelessly transmits data from multiple printed sensors will be described along with the considerations associated with fabrication of such a system (particularly mechanical and…
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Bayesian network model for predicting insider threats
This paper introduces a Bayesian network model for the motivation and psychology of the malicious insider.
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From Printed Devices to Printed Hybrid Systems
In order to combine the benefits of digitally manufactured, mechanically flexible, distributed sensors and the high performance of silicon electronics we have developed a hybrid fabrication platform that allows for…
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Ganging Up on Big Data: Computer-Intermediated Collaborative Analysis
In this paper we consider opportunities for next generation analysis systems for teams, focusing on the computer-intermediated functions that support and coordinate analytic activities around big data.