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Efficient and Sustainable Neural Architecture Search
Machine Learning Models for Passive Pre-symptomatic Detection of Covid-19 from Smart W...
Exploring Internal Representations Learned by Autoencoders for Sleep EEG
Scan2BIM: An Integrated Platform for 3D Reconstruction of Indoor Environment
Machine Learning for Optimizing Cognitive Radar Waveforms
Logic For Exploit Detection: Utilizing Proof Search for Exploitability Detection in Co...
A Deep Semantic Segmentation Framework for Digitizing Paper Electrocardiograms with Da...
Building Infrastructure Support for Organizational Security: An Approach to Network Mo...
Mobile Paralinguistic Health Assessment from Speech: Energy-Efficient and Privacy-Pres...
Creating Signed Language Resources to Increase Access and Representation of the Deaf C...
Modeling User Behaviors in Online Systems and Ubiquitous Devices
A Foundation for Orchestrating Multiple Security Environments in Endpoint Systems
Pressure Injury Stage Image Classification using Cross-Shaped Window Attention Vision ...
Evaluating the Influence of Surprise and Suppression Techniques in Map Visualizations
Regular Session Types
Data-Driven Optimization of Wire Arc Directed Energy Deposition Manufacturing Conditio...
ReArch: A Reactive Approach to Application Architecture Supporting Side Effects
Knowledge Triplets Derivation from Scientific Publications via Dual-Graph Resonance
Accelerating Software Development Through Integrated Domain-Driven Program Synthesis
Using Autoencoder Feature Residuals to Improve Network Intrusion Detection
Abstractions for Third-Party Extensibility of Educational Programming Environments
Epsilon Optimal Path Planning for Active Vision for Grasping
Using Visualization to Counteract Discounting
Homotopy Type Theory for Sewn Quilts
Beyond Typosquatting: An In-depth Look at Package Confusability
Calendar Visualizations of Money Earlier or Later Questions
Help or Hinder? Evaluating Fairness Metrics and Algorithms in Visualization Systems fo...
Leveraging Android OS to Secure Diverse Devices in Residential Networks
Mitigating Temporal Memory Safety Errors in the Linux Kernel
Memory Efficient Shadow Stacks for Real-Time Embedded Systems
Programming Abstractions for GPU-Accelerated Agent-Based Simulations
Neural Networks Models for Multi-Attribute Assessment of Fine Grained Wound Images
Towards Mental Workload Time Series Classification and Interpretation for Real-Time Fe...
Frequent Pattern Mining Analytics
Learning From Small Samples: A Machine Learning Model of Belief Polarization
The Impact of Latency on Players in First-person Shooter Games
MiseEnPlace : Fine- and Coarse-grained Approaches for Mobile-Oriented Deep Learning In...
Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance From Authors in O...
Probablement, Likely, Wahrscheinlich? A Cross-Language Study of the Verbalization of P...
Big Time Series Analytics Using a Distributed Infrastructure
Compositional Embeddings and Their Applications in Speaker Diarization
Effects of Digital Jury Moderation on the Polarization of Social Media Users
Defect Characterization and Classification for Metal Additive Manufacturing Process Op...
Visual Analytics for Smartphone Health Phenotyping
The Learning and Communication Complexity of Subsequence Containment
Leveraging Auxiliary Data from Similar Problems to Improve Automatic Open Response Sco...
Improving Automated Assessment for Student Open-responses in Mathematics
Modern Computer Science Approaches in Biology: From Predicting Molecular Functions to ...
Evaluating SGX’s Remote Attestation Security Through the Analysis of Copland Phrases
Human-In-The-Loop Person Re-Id for Sensitive Datasets
Searching for Contextual Subtasks for Semantic Segmentation
ClinicalICDBERT: Predicting Re-Admission Risk from Clinical Notes, Vital Signs and ICD...
Artistic Reflection Through Co-Creative Support Tool Curation
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
HDR-Like Image Generation to Mitigate Adverse Wound Illumination Using Deep Bi-directi...
Making Sense of Human-generated Spatial-temporal Data from Urban Environment
Rethink Lighting Estimation for 3D Vision-enabled Mobile Augmented Reality
Detecting Evasive Multiprocess Ransomware
Speech-based Traumatic Brain Injury (TBI) Assessment using Deep Learning Methods with ...
Text Representations of Math Tutorial Videos for Clustering, Retrieval, and Learning G...
Examining Student Effort on Hint through Response Time Decomposition
Improvement on Hint and Explanation Crowdsourcing Method for an Online Learning Platform
Protecting Model Confidentiality for Machine Learning as a Service
Aloja: Breaking IoT Software Homogeneity with Protocol Mutations
Disrupting Attacker Value Propositions in Residential Networks
Concurrent Deep Learning Workloads on NVIDIA GPUs
Applying Reinforcement Learning Based Tutor Strategy Recommendation Service To The ASS...
Improving Feedback Recommendation in Intelligent Tutoring Systems using NLP
Learning Deep Social Interactions to Identify Positive Classroom Climate
Behavior Detectors to Support Feedback Generation using Problem-Solving Action Data
PEGASUS: Powerful, Expressive, Graphical Analyzer for the Single-Use Server
Appjudicator: Enhancing Android Network Analysis through UI Monitoring
Smartphone TBI Sensing using Deep Embedded Clustering and Extreme Boosted Outlier Dete...
Predicting TBI by using Smartphone-sensed mobility patterns, gait and balance
MIC-TOK: A Musical Live Coding Environment for Constrained Input
Traumatic Brain Injury (TBI) detection and bioscore generation for ailment monitoring ...
The Effects of Latency and Game Device on Moving Target Selection
Application of Function Matching Techniques to Determine Libraries in Embedded Firmware
Decoding Cognitive States from fNIRS Neuroimaging Data Using Machine Learning
SIFT: A Deep Network for Irregularly-Sampled Multivariate Time Series
The Influence of Automated Narrative Feedback on Student-Designed Gamified Research
Developing Automated Audio Assessment Tools for a Chinese Language Course
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
Single-Use Servers: A Generalized Design for Eliminating the Confused Deputy Problem i...
Live Performance and Emotional Analysis of MathSpring Intelligent Tutor System Students
Unsupervised Semantic Segmentation through Cross-Instance Representation Similarity
Towards Better Kernel and Network Monitoring of Software Actions
Improving Model Performance with Robust PCA
The effect of prompted self-revision on student performance in the context of open-end...
Alloy-Guided Verification of Cooperative Autonomous Driving Behavior
Detecting Various Types of Malicious Users at One Sitting in Online Social Networks
Time Series Data Analytics
Deep Learning Approach to Trespass Detection using Video Surveillance Data
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Masters Theses
298
PhD Dissertations
100
Masters Reports
2
PhD Reports
1
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Current results range from
1999
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2024
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Creator
Adamjee, Merzia Naeem
1
Adams, Daniel Alan
1
Adjei, Seth Akonor
2
Agbaji, Unekwuojo Esther
1
Ahsan, Ramoza
1
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Advisor
Agu, Emmanuel O.
24
Alvarez, Sergio A.
3
Arroyo, Ivon
4
Baker, Ryan S.
1
Beck, Joseph E.
8
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Agu, Emmanuel O.
36
Alvarez, Sergio A.
3
Ari, Ismail
1
Arrington, Catherine
1
Arroyo, Ivon
7
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Unit (Department)
Computer Science
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401
Publisher
Worcester Polytechnic Institute
401
UN SDG
3 - Good Health and Well-being
2
9 - Industry, Innovation and Infrastructure
1
Resource type
Thesis
298
Dissertation
100
Report
2
Phd Report
1
License
https://creativecommons.org/licenses/by/4.0/
15
https://creativecommons.org/licenses/by-nc/4.0/
5