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Data Science
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Utilizing Unimodal and Multimodal Deep Transfer Learning to Classify Mobile Speech Rec...
Exploring Neural Network Structure through Iterative Neural Networks: Connections to D...
Data Science for Improving Operations in Organizations that Serve Vulnerable Populations
Towards an End-to-End Training Data Management System for Machine Learning Models
Robust Representation Learning for Context Recognition on Weakly-supervised Mobile Sen...
LEVERAGING MULTI-TASK LEARNING GRAPH NEURAL NETWORKS FOR IMPROVING FRAUD DETECTION
Intelligent and Resilient Radio Resource Allocation for 5G and Beyond Wireless Communi...
Predicting MXene Properties via Machine Learning
Strategies and Structures for Biological Datasets Integration and Knowledge Discovery
A Level-Set Approach for Solving Nonlinear Integer Optimization Problems
Bespoke Neural Network Architectures for Rapid Multivariate Time Series Classification...
Knowledge Amalgamation from Heterogeneous Pre-Trained Models
Data Driven University Capacity Analysis via Mathematical Optimization
Assessing Individual Differences In Graphical Perception
Multi-modal Models for Depression Screening
Working With What You’ve Got: Leveraging Mislabeled Datasets And Improving Imperfect P...
Human Behavior Analysis via Generative Adversarial Imitation Learning
A Food Network: A Graphical Exploration of Food Recipes
Micro-Pattern Detection and Analysis in Gaze Data via Mathematical Optimization and Ma...
Kernel Methods for Collaborative Filtering
Robust Auto-encoders
Machine learning approaches to manufacturing and materials: Applications to semi-super...
Automated Fact Extraction and Verification for Detecting False Information
Incorporating Rich Features into Deep Knowledge Tracing
Essays in Mixed-Integer Nonlinear Optimization for Matching Applications
Detecting and Mitigating the Spread of Low-Quality Information in Social Media
Multi-modal Deep Learning
MARAS: Multi-Drug Adverse Reactions Analytics System
A Look Into Human Brain Activity with EEG DataSurface Reconstruction
NITELITE: Studying Student Language and Teacher Feedback Through Explanation and Async...
A Comparative Study of Multiple-Instance Regression Techniques With Data Augmentation ...
Similarity Search in Continuous Data with Evolving Distance Metric
Improving Mental Health Screening with Predictive and Generative Modeling of Text Mess...
Adaptively-Halting RNN for Tunable Early Classification of Time Series
An Approach for Deliberate Non-Compliance Detection during Opioid Abuse Surveillance b...
Patterns Detection on Multivariate High-Frequency Time Series
Shared Complex Event Trend Aggregation
Analytics projects for key stakeholders in large scale online learning systems
Exploration Framework For Detecting Outliers In Data Streams
Analysis and Prediction of Community Structure Using Unsupervised Learning
Mining Spatio-Temporal Reachable Regions over Massive Trajectory Data
Competitive Opinion Maximization in Social Networks
Robust State Estimation and Deep Learning for Time Series Analysis
A Detailed Accounting of Error in Neural Networks: Applications to Electromagnetics
Deep Learning Anomaly Detection methods to passively detect COVID-19 from Audio
Dimension Estimation and Application in Finance
Large Scale Matrix Completion and Recommender Systems
A Multi-stage Anti-blur Network for Unsupervised Deformable Image Registration
Spatial-Temporal Generative Adversarial Learning
Synthetic Generation of Data for HCR using Image-to-Image Translation GANs
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Masters Theses
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Ahani, Narges
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Alajaji, Abdulaziz
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Amadeo, Lily
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Aygul, Ozge
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Agu, Emmanuel O.
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Cote, Danielle
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Djamasbi, Soussan
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Eltabakh, Mohamed Y.
3
Emdad, Fatemeh
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Agu, Emmanuel O.
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Alkhateeb, Ahmed
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Cote, Danielle
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Dixon-Gordon, Katherine
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Djamasbi, Soussan
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Unit (Department)
Data Science
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83
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Worcester Polytechnic Institute
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