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Rundensteiner, Elke A.
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Working With What You’ve Got: Leveraging Mislabeled Datasets And Improving Imperfect P...
Multi-modal Models for Depression Screening
Strategies and Structures for Biological Datasets Integration and Knowledge Discovery
Knowledge Amalgamation from Heterogeneous Pre-Trained Models
Robust Representation Learning for Context Recognition on Weakly-supervised Mobile Sen...
Towards an End-to-End Training Data Management System for Machine Learning Models
Frequent Pattern Mining Analytics
FACET: Counterfactual Explanation Analytics
An Empirical Study of Domain Adaptation: Are We Really Learning Transferable Represent...
Big Time Series Analytics Using a Distributed Infrastructure
Visual Analytics for Smartphone Health Phenotyping
Improving Mental Health Screening with Predictive and Generative Modeling of Text Mess...
Scalable Similarity Search over Big Data Series
Utilizing Unimodal and Multimodal Deep Transfer Learning to Classify Mobile Speech Rec...
A Comparative Study of Multiple-Instance Regression Techniques With Data Augmentation ...
MANIRank: Multiple Attribute and Intersectional Fairness for Consensus Ranking
Prediction and Observation Timing in Time Series Classification
Explaining Deep Time Series Classifiers
Visual Analytics for Multi-Level Triage and Investigation of Incident Reports
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
Speech-based Traumatic Brain Injury (TBI) Assessment using Deep Learning Methods with ...
Deep Learning Anomaly Detection methods to passively detect COVID-19 from Audio
Adverse Drug Event Information Extraction from Medical Narratives using Ensemble Learn...
SIFT: A Deep Network for Irregularly-Sampled Multivariate Time Series
Detecting and Mitigating the Spread of Low-Quality Information in Social Media
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
Shared Complex Event Trend Aggregation
Variational Open Set Recognition
Time Series Data Analytics
Deep Learning Approach to Trespass Detection using Video Surveillance Data
Sequential Data Mining and its Applications to Pharmacovigilance
Versatile Anomaly Detection with Outlier Preserving Distribution Mapping Autoencoders
Deep Learning on Attributed Sequences
Event stream analytics
Similarity Search in Continuous Data with Evolving Distance Metric
Pattern Mining and Sense-Making Support for Enhancing the User Experience
Adaptively-Halting RNN for Tunable Early Classification of Time Series
Recurring Query Processing on Big Data
Outlier Detection In Big Data
Pivot-based Data Partitioning for Distributed k Nearest Neighbor Mining
Targeted Prioritized Processing in Overloaded Data Stream Systems
MARAS: Multi-Drug Adverse Reactions Analytics System
Exploration Framework For Detecting Outliers In Data Streams
A Model-driven Visual Analytic Framework for Local Pattern Analysis
High Performance Analytics in Complex Event Processing
Supporting Multi-Criteria Decision Support Queries over Disparate Data Sources
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PhD Dissertations
53
Masters Theses
43
Masters Reports
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2023
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Creator
Ahsan, Ramoza
1
Alajaji, Abdulaziz
1
Alghamdi, Noura
1
Bashir, Muzammil
1
Buquicchio, Luke J.
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Agu, Emmanuel O.
7
Cote, Danielle
1
Eltabakh, Mohamed Y.
3
Harrison, Lane T.
1
Heffernan, Neil
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Agu, Emmanuel O.
11
Ari, Ismail
1
Athitsos, Vassilis
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Beck, Joseph E.
1
Brown, Christopher A.
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Unit (Department)
Computer Science
70
Data Science
26
Manufacturing Engineering
1
Publisher
Worcester Polytechnic Institute
97
Resource type
Dissertation
53
Thesis
43
Report
1
License
https://creativecommons.org/licenses/by/4.0/
5