This collection includes theses and dissertations from the Department of Computer Engineering and Computer Science, in the J.B. Speed School of Engineering. It is not exhaustive since most paper theses and dissertations have not been digitized. Generally, paper copies of theses and dissertations published prior to 2014 (Master of Engineering, prior to 2005) can be accessed in the University of Louisville Libraries. If you would like to add your thesis or dissertation to this collection, please fill out the Electronic Theses & Dissertations form.
Theses/Dissertations from 2024
In-training explainability frameworks to make black-box machine learning models more explainable., Asuman Cagla Acun
Multimodal stylometry: A novel approach for authorship identification., Glory O. Adebayo
Multithreaded applications on the heterogeneous research computing environment., Sungbo Jung
Using dynamic schemas for query optimization over JSON data., Tomas Felipe Llano-Rios
Context dependent training data selection for automatic target detection., Tylman Michael
Theses/Dissertations from 2023
Dynamic scene understanding: Pedestrian tracking from aerial devices., Abdelhamid Bouzid
A data-driven multi-regime approach for predicting real-time energy consumption of industrial machines., Abdulgani Kahraman
Guided data augmentation for improved semi-supervised image classification in low data regime., Fadoua Khmaissia
CAD system for early diagnosis of diabetic retinopathy based on 3D extracted imaging markers., Ahmed Sleman
Evaluating chatGPT for recommendation: how does the ability to converse impact recommendation?, Kyle Spurlock
Cannabidiol tweet miner: a framework for identifying misinformation In CBD tweets., Jason Turner
Theses/Dissertations from 2022
Beyond accuracy in machine learning., Aneseh Alvanpour
Computer aided diagnosis system for breast cancer using deep learning., Asma Baccouche
New debiasing strategies in collaborative filtering recommender systems: modeling user conformity, multiple biases, and causality., Mariem Boujelbene
New accurate, explainable, and unbiased machine learning models for recommendation with implicit feedback., Khalil Damak
Solving the challenges of concept drift in data stream classification., Hanqing Hu
Machine learning approaches for early prediction of hypertension., Heba Elsayed Mohamed Kandil
Modeling and debiasing feedback loops in collaborative filtering recommender systems., Sami Khenissi
Role of machine learning in early diagnosis of kidney diseases., Mohamed Nazih Mohamed Ibrahim Shehata
IoT in smart communities, technologies and applications., Muhammad Zaigham Abbas Shah Syed
Theses/Dissertations from 2021
Restaurant style prediction using Word2vec and support vector machine., Saleh Abdullah Almohaimeed
Linking social media, medical literature, and clinical notes using deep learning., Mohsen Asghari
Multilateration index., Chip Lynch
Lightweight mutual authentication and privacy preservation schemes for IOT systems., Samah Mansour
Signal fingerprinting and machine learning framework for UAV detection and identification., Olusiji Oloruntobi Medaiyese
Lung nodules identification in CT scans using multiple instance learning., Wiem Safta
Cosine-based explainable matrix factorization for collaborative filtering recommendation., Pegah Sagheb Haghighi
Computational frameworks for microRNA functional analysis of inter-kingdom and indirect targeting., Mohammed Sayed
Multi-style explainable matrix factorization techniques for recommender systems., Olurotimi Nugbepo Seton
Machine learning approaches for lung cancer diagnosis., Ahmed Mahmoud Ahmed Shaffie
Local feature selection for multiple instance learning with applications., Aliasghar Shahrjooihaghighi
Understanding and Avoiding AI Failures: A Practical Guide., Robert Max C Williams
Theses/Dissertations from 2020
Automatic target recognition with convolutional neural networks., Nada Baili
Automatic target recognition with deep metric learning., Abdelhamid Bouzid
Computational techniques in medical image analysis application for white blood cells classification., Omar Dekhil
Computational behavioral analytics: estimating psychological traits in foreign languages., Kristopher Wayne Reese
Exploring Information for Quantum Machine Learning Models, Michael Telahun
Imparting 3D representations to artificial intelligence for a full assessment of pressure injuries., Sofia Zahia
Theses/Dissertations from 2019
An explainable recommender system based on semantically-aware matrix factorization., Mohammed Sanad Alshammari
Clustering heterogeneous autism spectrum disorder data., Mariem Boujelbene
An explainable sequence-based deep learning predictor with applications to song recommendation and text classification., Khalil Damak
Segmentation and classification of lung nodules from Thoracic CT scans : methods based on dictionary learning and deep convolutional neural networks., Mohammad Mehdi Farhangi
Clustering of multiple instance data., Andrew D. Karem
Modeling and counteracting exposure bias in recommender systems., Sami Khenissi
Classification of the 4 stages of diabetic retinopathy using a low complexity convolutional neural network., Zeliha Ogur
Formally designing and implementing cyber security mechanisms in industrial control networks., Mehdi Sabraoui
Studying and handling iterated algorithmic biases in human and machine learning interaction., Wenlong Sun
Theses/Dissertations from 2018
A transfer learning approach for sentiment classification., Omar Abdelwahab
Automatic IQ estimation using stylometry methods., Polina Shafran Abramov
End-to-end learning framework for circular RNA classification from other long non-coding RNAs using multi-modal deep learning., Mohamed Chaabane
Network science algorithms for mobile networks., Heba Mohamed Elgazzar
Cognitive performance application., Shade EL-Hadik
Horse racing prediction using graph-based features., Mehmet Akif Gulum
Maintainability analysis of mining trucks with data analytics., Abdulgani Kahraman
Designing interactive virtual environments with feedback in health applications., Yi Li
Spam elimination and bias correction : ensuring label quality in crowdsourced tasks., Lingyu Lyu
A framework for cardio-pulmonary resuscitation (CPR) scene retrieval from medical simulation videos based on object and activity detection., Anju Panicker Madhusoodhanan Sathik
Landmine detection using semi-supervised learning., Graham Reid
Region based gene expression via reanalysis of publicly available microarray data sets., Ernur Saka
Machine learning for omics data analysis., Ameni Trabelsi
Robust fuzzy clustering for multiple instance regression., Mohamed Trabelsi
Theses/Dissertations from 2017
Accurate and justifiable : new algorithms for explainable recommendations., Behnoush Abdollahi
A data science pipeline for educational data : a case study using learning catalytics in the active learning classroom., Asuman Cagla Acun Sener
Uncovering exceptional predictions using exploratory analysis of second stage machine learning., Aneseh Alvanpour
Peeking into the other half of the glass : handling polarization in recommender systems., Mahsa Badami
Data driven discovery of materials properties., Fadoua Khmaissia
Developing computer vision technology to automate pitch analysis in baseball., Mahdi Moalla
Authorship identification of translation algorithms., Keishin Nishiyama
A framework for clustering and adaptive topic tracking on evolving text and social media data streams., Gopi Chand Nutakki
An interactive interface for nursing robots., Ankita Sahu
Dynamic adversarial mining - effectively applying machine learning in adversarial non-stationary environments., Tegjyot Singh Sethi
Vehicle make and model recognition for intelligent transportation monitoring and surveillance., Faezeh Tafazzoli
Using a multi variate pattern analysis (MVPA) approach to decode FMRI responses to fear and anxiety., Sajjad Torabian Esfahani
Theses/Dissertations from 2016
A reduced labeled samples (RLS) framework for classification of imbalanced concept-drifting streaming data., Elaheh Arabmakki
An adaptable fuzzy-based model for predicting link quality in robot networks., Christopher J. Lowrance
Theses/Dissertations from 2015
A forensics software toolkit for DNA steganalysis., Marc Bjoern Beck
Multiple instance fuzzy inference., Amine Ben Khalifa
Exclusive-or preprocessing and dictionary coding of continuous-tone images., Takiyah K. Cooper
An island-based approach for RNA-SEQ differential expression analysis., Abdallah Eteleeb
Speech data analysis for semantic indexing of video of simulated medical crises., Shuangshuang Jiang
Theses/Dissertations from 2014
Text stylometry for chat bot identification and intelligence estimation., Nawaf Ali
Temporal contextual descriptors and applications to emotion analysis., Haythem Balti
Avatar captcha : telling computers and humans apart via face classification and mouse dynamics., Darryl Felix D’Souza
A non-invasive image based system for early diagnosis of prostate cancer., Ahmad Abdusalam Firjani Firjani Naef
Ensemble learning method for hidden markov models., Anis Hamdi
Context dependent spectral unmixing., Hamdi Jenzri
A novel NMF-based DWI CAD framework for prostate cancer., Patrick McClure
Privacy protection in context aware systems., Anala Aniruddha Pandit
SDSF : social-networking trust based distributed data storage and co-operative information fusion., Phani Chakravarthy Polina
Identification, indexing, and retrieval of cardio-pulmonary resuscitation (CPR) video scenes of simulated medical crisis., Surangkana Rawungyot
Image based approach for early assessment of heart failure., Hisham Z. Sliman
Theses/Dissertations from 2013
An inter-domain supervision framework for collaborative clustering of data with mixed types., Artur Abdullin
Unsupervised and semi-supervised fuzzy clustering with multiple kernels., Naouel Baili
Stream-dashboard : a big data stream clustering framework with applications to social media streams., Basheer Hawwash 1984-
Network tomography application in mobile ad-hoc networks., Mohammad Shoeb Saeed Khan
Face recognition using statistical adapted local binary patterns., Abdallah Abd-Elghafar Mohamed
Modified half-edge data structure and its applications to 3D mesh generation for complex tube networks., Richard Paris
The GC3 framework : grid density based clustering for classification of streaming data with concept drift., Tegjyot Singh Sethi
