MS Theses - DO NOT EDIT
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A PARALLEL IMPLEMENTATION OF APRIORI ALGORITHM FOR MINING FREQUENT ITEMSETS IN HADOOP MAPREDUCE FRAMEWORK
With explosive growth of data in past few years, discovering previously unknown, frequent patterns within the huge transactional data sets has been one of the most challenging and ventured fields in data mining. Apriori ... -
A Probabilistic Approach to Crowdsourcing Pareto-Optimal Object Finding by Pairwise Comparisons
This is an extended study on crowdsourcing Pareto-Optimal Object Finding by Pairwise Comparisons. The prior study on the same topic demonstrate the framework and algorithms used to determine all the Pareto-Optimal objects ... -
Crowdsourcing for Decision Making with Analytic Hierarchy Process
Analytic Hierarchy Process (AHP) is a Multiple-Criteria Decision-Making MCDM) technique devised by Thomas L. Saaty. In AHP, all the pairwise comparisons between criteria and alternatives in terms of each criterion are used ... -
A DEEP LEARNING BASED PIPELINE FOR METASTATIC BREAST CANCER CLASSIFICATION FROM WHOLE SLIDE IMAGES (WSI)
Pathology is a 150-year-old medical specialty that has seen a paradigm shift over the past few years with the advent of Digital Pathology. Digital Pathology is a very promising approach to diagnostic medicine to accomplish ... -
Intuitive Robot Integration via Virtual Reality Workspaces
(2022-11-30)As robots become increasingly prominent in diverse industrial settings, the desire for an accessible and reliable system has correspondingly increased. Yet, the task of meaningfully assessing the feasibility of introducing ... -
Context-Aware Gaze-Based Interface for Smart Wheelchair
(2023-05-22)Human-Computer Interfaces (HCI) is an essential aspect of modern technology that has revolutionized the way we interact with machines. With the revolution of computers and smart devices and the advent of autonomous vehicles ... -
EMAuth: A USABLE CONTINUOUS AUTHENTICATION SCHEME
(2023-05-18)**Please note that the full text is embargoed until 05/12/2025** ABSTRACT: In recent years, wearables have become an integral part of daily life for most users. Wearables provide a seamless supplement to their main ... -
Enhancing Health Tweet Classification: An evaluation of Transformer-based models for Comprehensive Analysis
(2023-05-10)The task of health tweet classification entails identifying whether a given tweet is health-related or not. While existing research in this area has made significant progress in classifying tweets into specific sub-domains ... -
Data Discovery Analysis on Complex Time Series Data
(2022-12-20)Complex time series are a ubiquitous form of data in the modern world. They have wide application across many different fields of scientific inquiry and business endeavor. Time series are used to understand and forecast ... -
GLAZE EPOCHS: EXTERNALIZING MATERIAL KNOWLEDGE THROUGH TANGIBLE DATA RECORDS IN A CERAMICS STUDIO
(2021-05-11)The "material turn" in HCI has placed a renewed focus on informing design from the relationships found in material-based interactions. While several ethnographic works provide insight into how practitioners converse with ... -
TaPIN: A Two-Factor User Authentication Scheme for Smartwatches through Secret Finger Tapping
(2020-05-11)Nowadays, smartwatches have become one of the most common wearable gadgets as they are small and portable. As more and more personal information is managed and processed inside smartwatches, it is important to have a secure ... -
DISTRACTION DETECTION AND INTENTION RECOGNITION FOR GESTURE-CONTROLLED UNMANNED AERIAL VEHICLE OPERATION
(2022-05-17)Gesture Control as a way to replace more conventional remote-control operations has been pursued for a significant period of time with different levels of success. The use of gestures to control different types of human ... -
Detection and classification of object presence and characteristics in a water container using high frequency ultrasound
(2022-05-17)Detection and characterization of soluble, diffuse, and solid objects and their characteristics in water has important implications in various applications, including water quality assessment and incontinence monitoring ... -
A NON-CONTACT BASED SYSTEM TO MEASURE SPO2 AND SYSTOLIC/DIASTOLIC BLOOD PRESSURE USING RGB-NIR CAMERA
(2022-05-18)In recent times, people have increasingly self-assessed their health using different devices on their bodies that monitor physiological attributes such as their oxygen level and blood pressure (BP) to monitor their health. ... -
“Strict Moderation?” The Impact of Increased Moderation on Parler Content and User Behavior
(2022-05-18)Social media platforms have brought people from different backgrounds, ethnicity, race, gender, etc together to form a platform to share ideas and opinions and discuss news events among other social events. Unfortunately, ... -
A COMBINATORIAL APPROACH TO FAIRNESS TESTING OF MACHINE LEARNING MODELS
(2022-05-16)Machine Learning (ML) models could exhibit biased behavior, or algorithmic discrimination, resulting in unfair or discriminatory outcomes. The bias in the ML model could emanate from various factors such as the training ... -
LEARNING TOPOLOGY PRESERVING EMBEDDINGS FOR SPEEDING UP NEAREST NEIGHBOR RETRIEVAL
(2022-05-06)Given a database of objects and a query object, it’s possible to gather a number of the closest neighbors to the query object. This operation is important to a number of diverse fields such as computer vision, content- based ... -
ADAPTIVE HUMAN-ROBOT MOTION TRANSFER FOR COMPLETE BODY IMITATION
(2022-01-06)Programming robot systems to perform certain tasks is a big challenge especially if such programming is to be performed by persons who are not experts in robotics. For example, when programming a robot to serve as an ... -
Language Pre-Training and Auxiliary Tasks for Vision and Language Navigation
(2022-01-06)The Vision and Language Navigation task came to life from the idea that we can build a robot or an autonomous system that can be instructed in human language and that will navigate using the instructions given. For example, ... -
DECOUPLING-BASED APPROACH TO CENTRALITY DETECTION IN HETEROGENEOUS MULTILAYER NETWORKS
(2021-08-13)Graph analysis is one of the techniques widely used for data analysis. It is used extensively on single graphs. Its ability to capture entities and relationships makes it an attractive data model. Search on graphs, such ...