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Extraction of time-varying spatio-temporal networks using parameter-tuned constrained IVA
(IEEE Transaction on Medical Imaging, 2019-07)Dynamic functional connectivity (dFC) analysis is an effective way to capture the networks that are functionally associated and continuously changing over the scanning period. However, these methods mostly analyze the ... -
Making teacher PD effective using the PrimeD framework.
(New England Mathematics Journal, 2017) -
Inferring Robot Morphology from Observation of Unscripted Movement
(IEEE, 2019-05)Task sharing between heterogeneous robots currently requires a priori capability knowledge, a shared communication protocol, or a centralized planner. However, in practice, when two robots are brought together, the effort ... -
¿Es un platano? Exploring the Application of a Physically Grounded Language Acquisition System to Spanish
(Association for Computational Linguistics, 2019-06)In this paper we describe a multilingual grounded language learning system adapted from an English-only system. This system learns the meaning of words used in crowd-sourced descriptions by grounding them in the physical ... -
Deep Learning for Category-Free Grounded Language Acquisition
(Association for Computational Linguistics (ACL), 2019-06)We propose a learning system in which language is grounded in visual percepts without pre-defined category constraints. We present a unified generative method to acquire a shared semantic/visual embedding that enables a ... -
A comparative effective examination of asthma treatments
(2017-11-28) -
Mental Health Policy and FDA Warnings
(The Hilltop Institute, 2015-12-04) -
Evaluating the Impact of Managed Care on Service Use and Disparities in Care Among Children and Adolescents Receiving Medicaid
(The Hilltop Institute, 2007-02)This policy brief, based on research conducted by Dr. Todd Eberly for his dissertation, examines whether a transition from fee-for-service to a managed care Medicaid program improved access to preventive well care services, ... -
Minimizing Classification Energy of Binarized Neural Network Inference for Wearable Devices
(2019-03-25)In this paper, we propose a low-power hardware for efficient deployment of binarized neural networks (BNNs) that have been trained for physiological datasets. BNNs constrain weights and feature-map to 1 bit, can pack in ... -
The Crystal Structure of Klebsiella pneumoniae FeoA Reveals a Site For Protein-Protein Interactions
(2019-01-08)In order to establish infection, pathogenic bacteria must obtain essential nutrients such as iron. Under acidic and/or anaerobic conditions, most bacteria utilize the Feo system in order to acquire ferrous iron (Fe²⁺) from ... -
The SFS Summer Research Study at UMBC: Project-Based Learning Inspires Cybersecurity Students
(2018-11-12)May 30-June 2, 2017, Scholarship for Service (SFS) scholars at the University of Maryland, Baltimore County (UMBC) analyzed the security of a targeted aspect of the UMBC computer systems. During this hands-on study, with ... -
Towards Hiding Adversarial Examples from Network Interpretation
(2018-12-06)Deep networks have been shown to be fooled rather easily using adversarial attack algorithms. Practical methods such as adversarial patches have been shown to be extremely effective in causing misclassification. However, ... -
"Woe is me": Examining Older Adults' Perceptions of Privacy
(ACM, 2019-05-04)We conducted a study of n = 20 older adults to better understand their mental models for what the term 'privacy' means to them in both digital and non-digital contexts. Participants were asked to diagrammatically represent ... -
"Pretty Close to a Must-Have": Balancing Usability Desire and Security Concern in Biometric Adoption
(2019-05-09)We report on a qualitative inquiry among security-expert and non-expert mobile device users about the adoption of biometric authentication using semi-structured interviews(n=38, 19/19 expert/non-expert). Security experts ... -
RelExt: Relation Extraction using Deep Learning approaches for Cybersecurity Knowledge Graph Improvement
(2019-05-16)Security Analysts that work in a `Security Operations Center' (SoC) play a major role in ensuring the security of the organization. The amount of background knowledge they have about the evolving and new attacks makes a ... -
Effect of coil size on transcranial magnetic stimulation (TMS) focality
(SPIE, 2019-05-02)In recent years, there is an increasing interest in noninvasive treatments for neurological disorders like Alzheimer and Depression. Transcranial magnetic stimulation (TMS) is one of the most effective methods used for ... -
Importance of lotus effect on surface sensing
(SPIE, 2019-05-02)Superhydrophobic polymer films are a material of interest for aircraft deicing fluids to achieve the selfcleaning lotus effect. Hydrophobic polymer films were obtained by a solvent selective method composed of hydrophilic ... -
Thermally-induced optical reflection of sound (THORS) for photoacoustic sensing
(SPIE, 2019-05-02)The ability to precisely control and manipulate acoustic waves can be highly limiting in applications and environments where placement of physical barriers for acoustic steering cannot be employed (e.g. tissues, air, etc.) ... -
Effect of processing on morphology of hydroxyapatites: bioactive glasses and crystalline composites
(SPIE, 2019-05-02)Recent studies on multinary oxides for applications as laser hosts and high dielectric capacitors have shown that processing at high temperature provides glassy or crystalline materials based on thermal treatments and ... -
Flexible polyimide based 34-channel electrode arrays for mouse EEG measurement
(SPIE, 2019-05-02)Electroencephalogram (EEG) recording is a widely used method to measure electrical activity in the brain. Rodent EEG brain recording not only is noninvasive but also has the advantages to accomplish full brain monitoring, ...
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