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Understanding Internal Feature Development in Deep Convolutional Neural Networks for T...
Speech-based Traumatic Brain Injury (TBI) Assessment using Deep Learning Methods with ...
Learning Deep Social Interactions to Identify Positive Classroom Climate
Text Representations of Math Tutorial Videos for Clustering, Retrieval, and Learning G...
Concurrent Deep Learning Workloads on NVIDIA GPUs
Protecting Model Confidentiality for Machine Learning as a Service
MIC-TOK: A Musical Live Coding Environment for Constrained Input
The Effects of Latency and Game Device on Moving Target Selection
Traumatic Brain Injury (TBI) detection and bioscore generation for ailment monitoring ...
Predicting TBI by using Smartphone-sensed mobility patterns, gait and balance
Smartphone TBI Sensing using Deep Embedded Clustering and Extreme Boosted Outlier Dete...
Appjudicator: Enhancing Android Network Analysis through UI Monitoring
PEGASUS: Powerful, Expressive, Graphical Analyzer for the Single-Use Server
Behavior Detectors to Support Feedback Generation using Problem-Solving Action Data
Improving Feedback Recommendation in Intelligent Tutoring Systems using NLP
Applying Reinforcement Learning Based Tutor Strategy Recommendation Service To The ASS...
Disrupting Attacker Value Propositions in Residential Networks
Aloja: Breaking IoT Software Homogeneity with Protocol Mutations
Examining Student Effort on Hint through Response Time Decomposition
Detecting Evasive Multiprocess Ransomware
Rethink Lighting Estimation for 3D Vision-enabled Mobile Augmented Reality
HDR-Like Image Generation to Mitigate Adverse Wound Illumination Using Deep Bi-directi...
Improvement on Hint and Explanation Crowdsourcing Method for an Online Learning Platform
Making Sense of Human-generated Spatial-temporal Data from Urban Environment
Towards Instantaneous Mental Health Screening From Voice Using Machine and Deep Learning
Automatic Emotion Detection in Text Messages using Supervised Learning
Display of Multi-Attribute Data Using a Presentation Description Language
A Study of Replicated and Distributed Web Content
Deterministic Object Management in Large Distributed Systems
Quantifying Resource Sharing, Resource Isolation and Agility for Web Applications with...
Using Network Application Behavior to Predict Performance
Network Performance Evaluation within the Web Browser Sandbox
Study on the Leakage of Private User Information Via a Range of Popular Websites
Predicting Network Performance for Internet Activities Using a Web Browser
Validating the Veracity of User Data Collected and Disclosed by Ad Networks
Exploiting Flow Relationships to Improve the Performance of Distributed Applications
Training Noise-Robust Spoken Phrase Detectors with Scarce and Private Data: An Applica...
The Influence of Automated Narrative Feedback on Student-Designed Gamified Research
Decoding Cognitive States from fNIRS Neuroimaging Data Using Machine Learning
SIFT: A Deep Network for Irregularly-Sampled Multivariate Time Series
Application of Function Matching Techniques to Determine Libraries in Embedded Firmware
Concurrent Programming in Education: Time for a Change
Test First Model-Driven Development
Improving Model Performance with Robust PCA
Constructing an Authoring Tool for Intelligent Tutoring Systems with Hierarchical Doma...
Tutorial Dialog in an Equation Solving Intelligent Tutoring System
Evaluating Predictions of Transfer and Analyzing Student Motivation
Using Association Rules to Guide a Search for Best Fitting Transfer Models of Student ...
Applying Machine Learning Techniques to Rule Generation in Intelligent Tutoring Systems
Collaborative Warrior Tutoring
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Adams, Daniel Alan
Adjei, Seth Akonor
Agbaji, Unekwuojo Esther
Aiello, Christina Jane
Agu, Emmanuel O.
Alvarez, Sergio A.
Baker, Ryan Shaun
Beck, Joseph E.
Agu, Emmanuel O.
Alvarez, Sergio A.
Worcester Polytechnic Institute