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Submissions from 2019

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Detection of Offensive YouTube Comments, a Performance Comparison of Deep Learning Approaches, PRIYAM BANSAL [Thesis]

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Predicting Violent Crime Reports from Geospatial and Temporal Attributes of US 911 Emergency Call Data, Vincent Corcoran [Thesis]

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Is there a Correlation Between Wikidata Revisions and Trending Hashtags on Twitter?, Paula Dooley [Thesis]

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An Investigation into the Predictive Capability of Customer Spending in Modelling Mortgage Default, Donal Finn [Thesis]

The Impact of Temporal Features in Music Genre Recognition, Víctor Santiago González

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Noise Reduction in EEG Signals using Convolutional Autoencoding Techniques, Conor Hanrahan [Thesis]

Incorporating Semantic Information to FastText Word Vectors for Improved Sentiment Analysis, Colin Hayden [Thesis]

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Predicting Customer Retention of an App-Based Business Using Supervised Machine Learning, Jeswin Jose

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Investigation into the Perceptually Informed Data for Environmental Sound Recognition, Chenglin Kang

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Analyzing Twitter Feeds to Facilitate Crises Informatics and Disaster Response During Mass Emergencies, Arshdeep Kaur

Validation of One-Class Classification in Pension Purchase Prediction, Eoin Kilbride [Thesis]

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Comparing Defeasible Argumentation and Non-Monotonic Fuzzy Reasoning Methods for a Computational Trust Problem with Wikipedia, Ryan Kirwan

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Forecasting Anomalous Events And Performance Correlation Analysis In Event Data, Sonya Leech [Thesis]

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Hierarchical Cluster Analysis: A New Type of Ranking Criteria Based on ARWU Ranking Data, Zhengshuo Li

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Augmenting American Fuzzy Lop to Increase the Speed of Bug Detection, Raviraj Mahajan

Unsupervised Early Detection of Fake News Articles Using Clustering Techniques, James McCarthy [Thesis]

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Enhancing Partially Labelled Data: Self Learning and Word Vectors in Natural Language Processing, Eamon McEntee [Thesis]

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Using Sentiment Analysis for Exploring the ‘Voice of Customer’ for AIB Banking., Brona McKnight [Thesis]

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Multi-Sensory Deep Learning Architectures for Slam Dunk Scene Classification, Paul Minogue [Thesis]

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Comparing Procedural Content Generation Algorithms for Creating Levels in Video Games, Zina Monaghan

Automated Machine Learning: Predicting Customer Churn for an Online Streaming Service, Stephen Naughton [Thesis]

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An Automated Negotiation System for eCommerce Store Owners to Enable Flexible Product Pricing, Jake O'Halloran

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An Evaluation of the Information Security Awareness of University Students, Alan Pike [Thesis]

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Performance Comparison of Hybrid CNN-SVM and CNN-XGBoost models in Concrete Crack Detection, Sahana Thiyagarajan [Thesis]

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An Evaluation Of Learning Employing Natural Language Processing And Cognitive Load Assessment, Mrunal Tipari

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An Investigation of Three Subjective Rating Scales of Mental Workload in Third Level Education, Nha Vu Thanh Nguyen

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Using Supervised Learning to Predict English Premier League Match Results From Starting Line-up Player Data, Runzuo Yang

Submissions from 2018

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From Business Understanding to Deployment: An application of Machine Learning Algorithms to Forecast Customer Visits per Hour to a Fast-Casual Restaurant in Dublin, Odunayo David Adedeji

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Using Machine Learning Techniques to Predict a Risk Score for New Members of a Chit Fund Group, Sinead Aherne

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Augmented Reality as a Potential Tool for Filmmaking, Paul Blachfield

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Can Machine Learning beat Physics at Modeling Car Crashes?, Gavin Byrne

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Automation of Authorisation Vulnerability Detection in Authenticated Web Applications, Niall Caffrey

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Can Threshold-Based Sensor Alerts be Analysed to Detect Faults in a District Heating Network?, Liam Cantwell

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An Application of Natural Language Processing for Triangulation of Cognitive Load Assessments in Third Level Education, Luis Alfredo Contreras

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A Comparison of Real Time Stream Processing Frameworks, Jonathan Curtis

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Beef Cattle Instance Segmentation Using Mask R-Convolutional Neural Network, Mohammad Danish

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Identifying and Scoping Context-Specific Use Cases For Blockchain-Enabled Systems in the Wild., Fiona Delaney

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Identifying Expert Investors on Financial Microblog via Artificial Neural Networks, Pierluca Del Buono

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Application of Synthetic Informative Minority Over-Sampling (SIMO) Algorithm Leveraging Support Vector Machine (SVM) On Small Datasets with Class Imbalance, Akshatha Fakkeriah Kallappanamatt

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A JavaScript Framework Comparison Based on Benchmarking Software Metrics and Environment Configuration, Jefferson Ferreira

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Exploring the Features to Classify the Musical Period of Western Classical Music, Arturo Martínez Gallardo

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A Demographic Analysis to Determine User Vulnerability among Several Categories of Phishing Attacks., Robert Griffin

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Image Classification Using Bag-of-Visual-Words Model, Kaiqiang Huang

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Use of Hyperspectral Images (HSI) and Convolutional Neural Network (CNN) To Identify Normal, Precancerous and Cancerous Tissues, Pallavi Jain

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Classification Using Association Rules, Colin Kane

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Investigation into the Predictive Power of Artificial Neural Networks and Logistic Regression for Predicting Default in Chit Funds, Ciara Kerrigan

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Intergrating the Fruin LOS into the Multi-Objective Ant Colony System, Tirdad Kiafar

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Automatic Table Extension with Open Data, Benedikt Kleppmann

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An Exploration of Parliamentary Speeches in the Irish Parliament Using Topic Modeling, Fiona Leheny

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An Investigation into Factors Which Explain the Scores and Voting Patterns of the Eurovision Song Contest., Oisín Leonard

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Elasticity Measurement in CaaS Environments - Extending the Existing BUNGEE Elasticity Benchmark to AWS's Elastic Container Service, Nora Limbourg

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That Seems Made Up: Deep Learning Classifiers for Fiction & Non Fiction Book Reviews, Clement Manger

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Analysing online user activity to implicitly infer the mental workload of web-based tasks using defeasible reasoning, Paul Mara

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Through the Net: Investigating How User Characteristics Influence Susceptibility to Phishing, Charlie Marriott

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Predicting Long Term Unemployment: an Exploration Using Customer Financial Data, John Mooney

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An Analysis of Software Testing Practices on Migrations From on Premise to Cloud Hosted Environments, Ronan Mullen

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Predicting Happiness - Comparison of Supervised Machine Learning Techniques Performance on a Multiclass Classification Problem, Dorota Nieciecka

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Assesing Completeness of Solvency and Financial Condition Reports through the use of Machine Learning and Text Classification, Ruairí Nugent

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Clicking into Mortgage Arrears: A Study into Arrears Prediction with Clickstream Data, Gavin O'Brien

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Comparing the Effectiveness of Support Vector Machines and Convolutional Neural Networks for Determining User Intent in Conversational Agents, Kieran O Sullivan

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Spoilage Detection in Raspberry Fruit Based on Spectral Imaging Using Convolutional Neural Networks, Karthik Kuchangi Jothi Prakash

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Supervised Learning Models to Predict Stock Direction Within Different Sectors in a Bull and Bear Market, Tiffany Razy

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Investigating the Application of Deep Convolutional Neural Networks in Semi-supervised Video Object Segmentation, Jayadeep Sasikumar

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A Performance Comparison of Neural Network and SVM Classifiers Using EEG Spectral Features to Predict Epileptic Seizures, Ian Thomas Tennant Watson

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Comparing the Effectiveness of Different Classification Techniques in Predicting DNS Tunnels, Patrick Walsh

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Visualization of Co-authorshipin DIT Arrow, Dan Xu

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Handwritten Digit Recognition and Classification Using Machine Learning, Ke Zhao

Submissions from 2017

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Can Phishing Education Enable Users To Recognize Phishing Attacks?, Hanaa Alghamdi

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A Model for Anomalies Detection in Internet of Things (IoT) Using Inverse Weight Clustering and Decision Tree, Ahod Alghuried

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An Exploration Study of using the Universities Performance and Enrolments Features for Predicting the International Quality, Aeshah Althagafi

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Exploring the Factors that Affect Secondary Student’s Mathematics and Portuguese Performance in Portugal, Lulu Cheng

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Comparison Study of The Most Common Virtual Machine Load Balancing Algorithms in Large-Scale Cloud Environment Using Cloud Simulator, Rowaa Filimban

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A Comparison of Supervised Machine Learning Classification Techniques and Theory-Driven Approaches for the Prediction of Subjective Mental Workload, Dmitrii Gmyzin

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Can Deep Learning Techniques Improve the Risk Adjusted Returns from Enhanced Indexing Investment Strategies, Anthony Grace

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Critical Comparison of the Classification Ability of Deep Convolutional Neural Network Frameworks with Support Vector Machine Techniques in the Image Classification Process, Robert Kelly

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Can a Strictly Defined Security Configuration for IoT Devices Mitigate the Risk of Exploitation by Botnet Malware?, David Kennefick

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Cybercrime: An Investigation of the Attitudes and Environmental Factors that Make People more Willing to Participate in Online Crime, Dearbhail Kirwan

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An Analysis of Predicting Job Titles Using Job Descriptions, John Lynch

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Evaluating the Effectiveness of the Gestalt Principles of Perceptual Observation for Virtual Reality User Interface Design, William MacNamara

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Benchmarking JavaScript Frameworks, Carl Lawrence Mariano

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“How Short is a Piece of String?”: An Investigation into the Impact of Text Length on Short-Text Classification Accuracy, Austin McCartney

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Investigation into the Application of Personality Insights and Language Tone Analysis in Spam Classification, Colm McGetrick

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Towards improving ViSQOL (Virtual Speech Quality Objective Listener) Using Machine Learning Techniques, Joseph McNally

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The Use of Persistent Explorer Artificial Ants to Solve the Car Sequencing Problem, Kieran O'Sullivan

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The Influence of Sensor-Based Intelligent Traffic Light Control On Traffic Flow In Dublin, Katja Rademacher

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An investigation of the correlation between Mental Workload and Web User’s Interaction, Joaquim Filipe Romero

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An Investigation of the Correlation Between Mental Workload and Web User’s Interaction, Joaquim Filipe Romero

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Application of Supervised Machine Learning to Predict the Mortality Risk in Elderly Using Biomarkers, Priyanka Sonkar

Modeling mortgage assessment with computational argumentation theory and defeasible reasoning, Henrik Szucs [Thesis]

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Modeling Mortgage Assessment with Computational Argumentation Theory and Defeasible Reasoning, Henrik Szucs

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Physical Human Activity Recognition Using Machine Learning Algorithms, Haritha Vellampalli

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The Evaluation of Ensemble Sentiment Classification Approach on Airline Services Using Twitter, Zechen Wang

Submissions from 2016

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How Do Teachers and Students Perceive The Utility of Blackboard as a Distance Learning Platform? (Case Study from Taibah University, Saudi Arabia), Suad Alaofi

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Measuring the Effectiveness of Software-Based Training to Improve the Spatial Visualization Skills of Students in STEM Disciplines in Higher Education Institutions, Peter Cole

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Support Vector Machines and Artificial Neural Networks: Assessing the Validity of Using Technical Features for Security Forecasting, James di Padua

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Support Vector Machines and Artificial Neural Networks: Assessing the Validity of Using Technical Features for Security Forecasting, James DiPadua

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An Evaluation of Gamification to Assess Students’ Learning on Their Understanding of First Year Computer Science Programming Module, Daniel Gebremichael

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Investigating the Impact of Unsupervised Feature-Extraction from Multi-Wavelength Image Data for Photometric Classification of Stars, Galaxies and QSOs, Annika Lindh

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Identifying Market Indicators and Content Quality from a Financial Micro-Blog Platform, Siobhán McNamara

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Investigation into the Predictive Capability of Macro-Economic Features in Modelling Credit Risk for Small Medium Enterprises, Kevin McTiernan