Publications
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Channel and Noise Robustness of Articulatory Features in a Deep Neural Net Based Speech Recognition System
This work presents a deep neural network (DNN)—hidden Markov model (HMM) based acoustic model where articulatory features are used in addition to mel-frequency cepstral coefficients (MFCC) for the Aurora-4 speech recognition task.
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Conflict-Directed Graph Coverage
In this paper, we open the black box and devise a new algorithm for this problem domain that we call conflict-directed graph coverage.
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Dynamic Responses of Selective Brain White Matter Fiber Tracts to Binge Alcohol and Recovery in the Rat
To determine the dynamics of white matter vulnerability to excessive alcohol consumption, diffusion tensor imaging (DTI) was used in an animal model of alcohol exposure.
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Neural network joint modeling via context-dependent projection
We propose a context-dependent linear projection approach which considers neighboring words. Experimental results showed that the proposed approach further improves NNJM by 0.5 BLEU for English-Iraqi Arabic translation in N-best…
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Unravelling Glucan Recognition Systems by Glycome Microarrays Using the Designer Approach and Mass Spectrometry
We describe construction of a "glucome" microarray, the first sequence-defined glycome-scale microarray, using a "designer" approach from targeted ligand-bearing glucans in conjunction with a novel high-sensitivity mass spectrometric sequencing method.
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Discovery of the First Small-Molecule Opioid Pan Antagonist with Nanomolar Affinity at Mu, Delta, Kappa, and Nociceptin Opioid Receptors
Since this is the first ligand containing the trans-(3R,4R)-dimethyl-4-(3-hydroxyphenyl)piperidine opioid antagonist pharmacophore to have affinity for the NOP receptor, we explored the structural determinants of its NOP binding affinity.
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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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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.
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Creating Value Together: The Emerging Design Space of Peer-to-Peer Currency and Exchange
We consider alternative and complementary currency and exchange innovations, including local/community currencies, timebanks, crypto-currencies, and person-to-person collaborative economy microenterprises, as a technology design space for currency and exchange
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The SRI biofrustration corpus: Audio, video and physiological signals for continuous user modeling
We describe the SRI BioFrustration Corpus, an inprogress corpus of time-aligned audio, video, and autonomic nervous system signals recorded while users interact with a dialog system to make returns of…
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Blueswitch: Enabling Provably Consistent Configuration of Network Switches
In this paper, we focus on the behavior of individual switches, and demonstrate that even simple rule updates result in inconsistent packet switching in multi-table datapaths.