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Remove constraint Unit: Computer Science
Remove constraint Collections: PhD Dissertations
Remove constraint Resource type: Dissertation
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Modern Computer Science Approaches in Biology: From Predicting Molecular Functions to ...
Residential Network Security: Using Software-defined Networking to Inspect and Label T...
Redesigning Deep Neural Networks for Resource-Efficient Inference
Understanding Internal Feature Development in Deep Convolutional Neural Networks for T...
Automatic Emotion Detection in Text Messages using Supervised Learning
Towards Instantaneous Mental Health Screening From Voice Using Machine and Deep Learning
Making Sense of Human-generated Spatial-temporal Data from Urban Environment
Improvement on Hint and Explanation Crowdsourcing Method for an Online Learning Platform
Decoding Cognitive States from fNIRS Neuroimaging Data Using Machine Learning
Attention-based Deep Learning Models for Text Classification and their Interpretability
Ranking for Decision Making: Fairness and Usability
Contextual Outlier Detection from Heterogeneous Data Sources
Development of a Data-Grounded Theory of Program Design in HTDP
Time Series Data Analytics
Quantifying, Modeling and Managing How People Interact with Visualizations on the Web
Sequential Data Mining and its Applications to Pharmacovigilance
Deep Learning on Graph-structured Data
How's My Network - Incentives and Impediments of Home Network Measurements
Exploiting Flow Relationships to Improve the Performance of Distributed Applications
Deep Learning on Attributed Sequences
Event stream analytics
Pattern Mining and Sense-Making Support for Enhancing the User Experience
Recurring Query Processing on Big Data
Detecting Data Manipulation Attacks on Physiological Sensor Measurements in Wearable M...
Refining Prerequisite Skill Structure Graphs Using Randomized Controlled Trials
Towards Personalized Learning using Counterfactual Inference for Randomized Controlled...
Outlier Detection In Big Data
Theory and Practice: Improving Retention Performance through Student Modeling and Syst...
Software-defined Networking: Improving Security for Enterprise and Home Networks
Affective Motivational Collaboration Theory
Tutoring Students with Adaptive Strategies
Targeted Prioritized Processing in Overloaded Data Stream Systems
Contributions to Collective Dynamical Clustering-Modeling of Discrete Time Series
Spatial and Temporal Learning in Robotic Pick-and-Place Domains via Demonstrations and...
A Model-driven Visual Analytic Framework for Local Pattern Analysis
Similarity Reasoning over Semantic Context-Graphs
Student Modeling within a Computer Tutor for Mathematics: Using Bayesian Networks and ...
Hybrid and Coordinated 3D Interaction in Immersive Virtual Environments
A Framework for Exploring Finite Models
Treatment-Based Classication in Residential Wireless Access Points
Student Modeling in Intelligent Tutoring Systems
Evaluation of Multi-sensory Feedback in Virtual and Real Remote Environments in a USAR...
Supporting Multi-Criteria Decision Support Queries over Disparate Data Sources
Extending Complex Event Processing for Advanced Applications
First-Order Models for Configuration Analysis
Practical and Theoretical Applications of the Regularity Lemma
Programmable Image-Based Light Capture for Previsualization
Visually Mining Interesting Patterns in Multivariate Datasets
Layout Optimization for Distributed Relational Databases Using Machine Learning
Predictive Models of Student Learning
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Adjei, Seth Akonor
Balazs, Marton E.
Burge, Janet E
Agu, Emmanuel O.
Alvarez, Sergio A.
Beck, Joseph E.
Becker, Lee A.
Brown, David C.
Agu, Emmanuel O.
Alvarez, Sergio A.
Worcester Polytechnic Institute