Publications
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Balanced Designs for Deeper Learning in an Online Introductory CS Course for Middle School Students
This paper describes our efforts to use the design-based research methodology to design a 6-week middle school course on the OpenEdX platform for blended in-class learning.
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Softsad: Integrated frame-based speech confidence for speaker recognition
In this paper we propose softSAD: the direct integration of speech posteriors into a speaker recognition system instead of using speech activity detection (SAD).
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Design-Based Research for Deeper Learning in an Online Introductory CS Course for Middle School Students
This paper describes our efforts to use the design-based research methodology to design a 6-week middle school course on the OpenEdX platform for blended in-class learning.
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Discrete Vs. Dense Times in the Analysis of Cyber-Physical Security Protocols
This paper investigates the foundational differences and the impacts on the analysis when using models with discrete time and models with dense time.
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Advances in deep neural network approaches to speaker recognition
In this work, we report the same achievement in DNN-based SID performance on microphone speech. We consider two approaches to DNN-based SID: one that uses the DNN to extract features,…
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Using Technology and Evidence to Promote Cultures of Educational Innovation: The Example of Science and Mathematics Education
To increase the opportunities for students to learn the knowledge and skills that are valued in the 21st century, education must become more innovative.
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Improved speaker recognition using DCT coefficients as features
We recently proposed the use of coefficients extracted from the 2D discrete cosine transform (DCT) of log Mel filter bank energies to improve speaker recognition over the traditional Mel frequency…
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AKI in Hospitalized Children: Comparing the pRIFLE, AKIN, and KDIGO Definitions
This study applied the Pediatric RIFLE, AKI Network, and Kidney Disease Improving Global Outcomes criteria to a cohort of hospitalizations to compare AKI incidence and outcomes in ICU and non-ICU…
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Effects of feature type, learning algorithm and speaking style for depression detection from speech
We systematically study the effects of feature type, machine learning approach, and speaking style (read versus spontaneous) on depression prediction in the AVEC-2014 evaluation corpus.
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Cross-corpus depression prediction from speech
We study a new corpus of patient-clinician interactions recorded when patients are admitted to a hospital for suicide risk and again when they are released.
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Creating Writing Items of Graduated Complexity for Students with Significant Cognitive Disabilities
This paper presents: a design methodology for improving the validity of inferences about the performance of students with significant cognitive disabilities on large-scale ELA writing assessments...
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ICN Hop by Hop Fragmentation
This document describes a hop-by-hop fragmentation scheme for ICN and mappings to the CCNx 1.0 and to the NDNTLV packet format.