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Now showing items 11-20 of 44
Simple Score Follower: A Contextual Switching Approach to Polyphonic Score Following on the Web using Deep-Learning Pitch Detection
(2022-01-20)
In this thesis we propose a contextual switching approach that combines modern deep-learning-based pitch detection technology with chroma-based chord recognition methods for the purpose of real-time, polyphonic score ...
Tumor Profiling from Pathology Images using Deep Learning
(2021-11-23)
Pathologists diagnose tumor biopsies under the microscope, navigating different levels of magnification to survey cellular composition, local glands, and global tissue landscapes across a slide. Recently, digital whole ...
The Impact of Security Configuration on Public Cloud Connectivity
(2023-01-11)
Cloud computing technology has brought enormous changes to how the IT industry works over the past few years. As the many cloud service providers (CSPs) are deploying more indispensable and complicated applications, cloud ...
Natural Language Processing for Health System Messages: Deep Transfer Learning Approach to Aspect-Based Sentiment Analysis of COVID-19 Content
(2022-02-07)
Recent efforts in clinical natural language processing research have focused on mining social media data and other user-generated data relevant to COVID-19. An increasing number of machine learning tools have been developed ...
AI for Dementia Detection: Open AI Health Diagnostic (OAHD)
(2023-05-02)
Alzheimer’s Disease (AD) delivers a heavy burden to many patients and caregivers. This weight is widespread and its toll, carried by many, adds financial and emotional distress to the list of its effects. Diagnosis typically ...
Sports Analytics with Natural Language Processing: Using Crowd Sentiment to Help Pick Winners in Fantasy Football
(2022-05-12)
We develop a method for maximizing potential in the sports analytics picking winners problem. We do so by: i) leveraging BERT-based, large-scale sentiment anal- ysis of tweets about players. ii) statistical modeling ...
Extending the Tillinghast Reflector Echelle Spectrograph (TRES) Pipeline and Analysis Tools
(2022-05-12)
This thesis further develops a suite of tools designed for calculating stellar parameters and measuring radial velocities using spectra obtained with the Tillinghast Reflector Echelle Spectrograph (TRES). The standard ...
Machine Learning for Financial Market Forecasting
(2023-05-03)
Stock market forecasting continues to be an active area of research. In recent years machine learning algorithms have been applied to achieve better predictions. Using natural language processing (NLP), contextual information ...
Dynamical.JS: A composable framework for online exploratory visualization of arbitrarily-complex multivariate networks
(2023-01-10)
Multivariate networks (henceforth, graphs) represent entities (vertices or nodes), their relationships to each other (edges), and manifest or derived data about both (attributes). Graphs easily map onto real-world entities ...
Predictive Maintenance in the Internet of Things: Survival Analysis and Deep Learning on Time Series Data from a Large Scale Wireless Sensor Network
(2021-05-24)
A major challenge in deploying battery powered sensors for the Internet of Things (IoT) involves making accurate predictions for when the batteries in the sensors will reach the end of their life. Maintenance of large ...