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Data Science
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A Level-Set Approach for Solving Nonlinear Integer Optimization Problems
Working With What You’ve Got: Leveraging Mislabeled Datasets And Improving Imperfect P...
Multi-modal Models for Depression Screening
Intelligent and Resilient Radio Resource Allocation for 5G and Beyond Wireless Communi...
Data Driven University Capacity Analysis via Mathematical Optimization
Strategies and Structures for Biological Datasets Integration and Knowledge Discovery
Bespoke Neural Network Architectures for Rapid Multivariate Time Series Classification...
Exploring Neural Network Structure through Iterative Neural Networks: Connections to D...
Integrating Personalized Learning into Online Education through Content Aggregation, D...
Knowledge Amalgamation from Heterogeneous Pre-Trained Models
Evaluation of Repeated Colonel Blotto Games with Semi-Bandit Feedback
Assessing Individual Differences In Graphical Perception
LEVERAGING MULTI-TASK LEARNING GRAPH NEURAL NETWORKS FOR IMPROVING FRAUD DETECTION
Robust Representation Learning for Context Recognition on Weakly-supervised Mobile Sen...
Human Behavior Analysis via Generative Adversarial Imitation Learning
Data Science for Improving Operations in Organizations that Serve Vulnerable Populations
Towards an End-to-End Training Data Management System for Machine Learning Models
Predicting MXene Properties via Machine Learning
FACET: Counterfactual Explanation Analytics
Educational Data Mining toward Personalized Tutoring: Exploration of Facial Behaviors,...
An Empirical Study of Domain Adaptation: Are We Really Learning Transferable Represent...
A Food Network: A Graphical Exploration of Food Recipes
A Detailed Accounting of Error in Neural Networks: Applications to Electromagnetics
Ensemble CNNs in Transform Domains for Small Data Image Super-resolution
Robust Generative Models for Deep Learning and Applications
Entity Identification Based on Human Mobility Data
Biological Discovery via Data Science: Multigranular Artificial Intelligence Approache...
Spatial-Temporal Generative Adversarial Learning
Improving Mental Health Screening with Predictive and Generative Modeling of Text Mess...
Sparse Learning in Brain Networks and Brain-like Artificial Intelligence
Scalable Similarity Search over Big Data Series
Multi-modal Deep Learning
Utilizing Unimodal and Multimodal Deep Transfer Learning to Classify Mobile Speech Rec...
A Comparative Study of Multiple-Instance Regression Techniques With Data Augmentation ...
Synthetic Generation of Data for HCR using Image-to-Image Translation GANs
Analytics for Refugee Resettlement
Constraint-Aware Meta-Learning, with Applications to Traffic Flow Prediction
MANIRank: Multiple Attribute and Intersectional Fairness for Consensus Ranking
Prediction and Observation Timing in Time Series Classification
Explaining Deep Time Series Classifiers
Dimension Estimation and Application in Finance
Essays in Mixed-Integer Nonlinear Optimization for Matching Applications
Competitive Opinion Maximization in Social Networks
Analytics projects for key stakeholders in large scale online learning systems
Visual Analytics for Multi-Level Triage and Investigation of Incident Reports
Identifying Struggling Students by Comparing Online Tutor Clickstreams
Effectiveness of the Automatic Reassessment and Relearning System for Short- and Long-...
Cycles Improve Conditional Generators
NITELITE: Studying Student Language and Teacher Feedback Through Explanation and Async...
A Multi-stage Anti-blur Network for Unsupervised Deformable Image Registration
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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
1
Bahadur, Nitish
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Agu, Emmanuel O.
6
Cote, Danielle
1
Djamasbi, Soussan
1
Eltabakh, Mohamed Y.
3
Emdad, Fatemeh
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Agu, Emmanuel O.
6
Alkhateeb, Ahmed
1
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
83
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46
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https://creativecommons.org/licenses/by/4.0/
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https://creativecommons.org/licenses/by-nc/4.0/
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