Department of Computer Science and Engineering: Recent submissions
Now showing items 21-40 of 606
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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 ... -
A Real-time Activity Recognition in a Congested Wireless Environment
(2022-08-16)**Please note that the full text is embargoed until 8/16/2024** ABSTRACT: This dissertation reports on how to achieve real-time activity recognition in a congested wireless environment. Recently, human activity recognition ... -
Graph Representation Learning for Heterogeneous Multimodal Biomedical Data
(2022-12-20)The emergence of high-throughput sequencing technology has generated a wealth of “multi-omics” data, capturing information about different types of biomolecules at multiple levels. Since large-scale genomics, transcriptomics, ... -
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 ... -
Human Behavior Modeling in Long Videos: Drowsiness Detection and Action Segmentation
(2022-05-09)"In this thesis we focus on two instances of human behavior modeling in long untrimmed videos: drowsiness detection, and action segmentation. In the first section, we focus on drowsiness detection. Specifically, we introduce ... -
LEARNING CAUSAL BOUNDS USING MARGINAL INDEPENDENCE INFORMATION WITH APPLICATIONS TO GENE EXPRESSION ANALYSIS
(2022-03-14)Discovering causal relations is a fundamental goal of science. Randomized controlled experiments were often considered to be the only reliable method for tackling this task. However, in recent years, various causal discovery ... -
REPRESENTATION AND STRATEGY LEARNING FOR VARIABLE-SIZE TREE TRANSFORMATION USING REINFORCEMENT LEARNING
(2021-08-12)Trees as acyclic graphs are ubiquitous in representing different context where they encode connectivity patterns at all scales of organization, from biological systems to social networks. Trees are powerful resources which ... -
MACHINE LEARNING WITH GRAPHS
(2021-05-09)In recent years, graph-based machine learning methods have attracted great attention because of their effectiveness and efficiency. Inspired by this trend, this thesis summarizes my research topics on machine learning ... -
EXTEND THE SENSING BOUNDARY OF MOBILE SYSTEMS: SECURITY AND NEW APPLICATIONS
(2021-04-28)The exploding growth of mobile devices like smartphones and wearables has envisioned various applications, which are developed to collect a wide spectrum of data using on-board device sensors and process them to serve ... -
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 ... -
Neural Network Architecture Optimization Using Reinforcement Learning
(2023-05-19)Deep learning has emerged as an increasingly valuable tool, employed across a myriad of applications. However, the intricacies of deep learning systems, stemming from their sensitivity to specific network architectures, ... -
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 ... -
Toward a deeper integration of low-fidelity sketches into mobile application development
(2023-05-18)Mobile application development often starts with creating low-fidelity sketches of user interfaces. Integrating these sketches into the software development process can reduce repetition, narrow the gap between user ... -
Practical Indirect Control Flow Analysis for Binary Executables
(2023-04-27)Resolving indirect control flow is one of the fundamental challenges in binary analysis. Improving the accuracy of the indirect control flow analysis is vital to the binary analysis domain. Many analysis algorithms and ... -
Optimizing Resource Utilization, Efficiency and Scalability in Deep Learning Systems
(2023-05-01)This thesis addresses the challenges of utilization, efficiency, and scalability faced by deep learning systems, which are essential for high-performance training and serving of deep learning models. Deep learning systems ... -
TOWARD DIGITAL PHENOTYPING: HUMAN ACTIVITY REPRESENTATION FOR EMBODIED COGNITION ASSESSMENT
(2023-02-23)Cognition is the mental process of acquiring knowledge and understanding through thought, experience and senses. Based on Embodied Cognition theory, physical activities are an important manifestation of cognitive functions. ... -
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 ... -
Approximate Query Processing Using Deep Learning and Database Techniques
(2022-12-15)Data is generated at an unprecedented rate surpassing our ability to analyze them. In real applications, it is often impractical to find an exact answer by traversing the entire data. As a result, Approximate Query ...