Submissions from 2020
LightGWAS: A Novel Genome-Wide Association Study Procedure, Bruno Ambrozio
Transformer Neural Networks for Automated Story Generation, Kemal Araz
Noise Reduction of EEG Signals Using Autoencoders Built Upon GRU based RNN Layers, Esra Aynali
A Discrimination Aware Model to Predict Childhood Literacy Levels, Kate Byrne
Finetuning Pre-Trained Language Models for Sentiment Classification of COVID19 Tweets, Arjun Dussa
Machine Learning Assisted Gait Analysis for the Determination of Handedness in Able-bodied People, Hugh Gallagher
Content-based Filtering Recommendation Approach to Label Irish Legal Judgements, Sandesh Gangadhar
Stacked Convolutional Recurrent Auto-encoder for Noise Reduction in EEG, Eoghan Keegan
Investigating Effect of Amount of Augmented Data on Performance of Convolutional Neural Network for MultiClass Image Classification, Shivam Khandelwal
Evaluating BERT Embeddings for Text Classification in Bio-Medical Domain to Determine Eligibility of Patients in Clinical Trials, Saurabh Khodake
Identifying Online Sexual Predators Using Support Vector Machine, Yifan Li
Discover Influential Mental Workload Attributes Impacting Learners Performance in Third-Level Education, Amisha Mehta
Confusion Modelling - An Estimation by Semantic Embeddings, Praveen Mohanprasad
Image Instance Segmentation: Using the CIRSY System to Identify Small Objects in Low Resolution Images, Orghomisan William Omatsone
An Examination of the Smote and Other Smote-based Techniques That Use Synthetic Data to Oversample the Minority Class in the Context of Credit-Card Fraud Classification, Eduardo Parkinson de Castro
Adapting Microservices in the Cloud with FaaS, Mateusz Pietraszewski
Particle Swarm Optimization of Convolutional Neural Network for Human Activity Prediction, Gunishetty Devarakonda Preethi
Optimization of Home Mortgage Mover Predictive Model Applying Geo-Spatial Analysis and Machine Learning Techniques, Natalia Riscovaia
Improving Transfer Learning for Use in Multi-Spectral Data, Yuvraj Sharma
Detection of Pathological HFO Using Supervised Machine Learning and iEEG Data, Isabel L. Sicardi Rosell
Bimodal Emotion Classification Using Deep Learning, Ashutosh Kumar Singh
Classification of Animal Sound Using Convolutional Neural Network, Neha Singh
Synthetic Data Generation Using Wasserstein Conditional Gans With Gradient Penalty (WCGANS-GP), Manhar Singh Walia
A Comparative Study of Text Summarization on E-mail Data Using Unsupervised Learning Approaches, Tijo Thomas
Drug Reviews: Cross-condition and Cross-source Analysis by Review Quantification Using Regional CNN-LSTM Models, Ajith Mathew Thoomkuzhy
Customer Churn Prediction, Deepshikha Wadikar
Submissions from 2019
Detection of Offensive YouTube Comments, a Performance Comparison of Deep Learning Approaches, Priyam Bansal
Predicting Violent Crime Reports from Geospatial and Temporal Attributes of US 911 Emergency Call Data, Vincent Corcoran
Is there a Correlation Between Wikidata Revisions and Trending Hashtags on Twitter?, Paula Dooley [Thesis]
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
Noise Reduction in EEG Signals using Convolutional Autoencoding Techniques, Conor Hanrahan
Incorporating Semantic Information to FastText Word Vectors for Improved Sentiment Analysis, Colin Hayden
Predicting Customer Retention of an App-Based Business Using Supervised Machine Learning, Jeswin Jose
Investigation into the Perceptually Informed Data for Environmental Sound Recognition, Chenglin Kang
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
Forecasting Anomalous Events And Performance Correlation Analysis In Event Data, Sonya Leech [Thesis]
Hierarchical Cluster Analysis: A New Type of Ranking Criteria Based on ARWU Ranking Data, Zhengshuo Li
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
Enhancing Partially Labelled Data: Self Learning and Word Vectors in Natural Language Processing, Eamon McEntee
Multi-Sensory Deep Learning Architectures for Slam Dunk Scene Classification, Paul Minogue
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
An Automated Negotiation System for eCommerce Store Owners to Enable Flexible Product Pricing, Jake O'Halloran
Factor Analysis of Mixed Data (FAMD) and Multiple Linear Regression in R, Nestor Pereira
Using Machine Learning Classification Methods to Detect the Presence of Heart Disease, Nestor Pereira
An Evaluation of the Information Security Awareness of University Students, Alan Pike
Performance Comparison of Hybrid CNN-SVM and CNN-XGBoost models in Concrete Crack Detection, Sahana Thiyagarajan
An Evaluation Of Learning Employing Natural Language Processing And Cognitive Load Assessment, Mrunal Tipari
An Investigation of Three Subjective Rating Scales of Mental Workload in Third Level Education, Nha Vu Thanh Nguyen
Using Supervised Learning to Predict English Premier League Match Results From Starting Line-up Player Data, Runzuo Yang
Submissions from 2018
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
Using Machine Learning Techniques to Predict a Risk Score for New Members of a Chit Fund Group, Sinead Aherne
Augmented Reality as a Potential Tool for Filmmaking, Paul Blachfield
Can Machine Learning beat Physics at Modeling Car Crashes?, Gavin Byrne
Automation of Authorisation Vulnerability Detection in Authenticated Web Applications, Niall Caffrey
Can Threshold-Based Sensor Alerts be Analysed to Detect Faults in a District Heating Network?, Liam Cantwell
An Application of Natural Language Processing for Triangulation of Cognitive Load Assessments in Third Level Education, Luis Alfredo Contreras
A Comparison of Real Time Stream Processing Frameworks, Jonathan Curtis
Beef Cattle Instance Segmentation Using Mask R-Convolutional Neural Network, Mohammad Danish
Identifying and Scoping Context-Specific Use Cases For Blockchain-Enabled Systems in the Wild., Fiona Delaney
Identifying Expert Investors on Financial Microblog via Artificial Neural Networks, Pierluca Del Buono
Application of Synthetic Informative Minority Over-Sampling (SIMO) Algorithm Leveraging Support Vector Machine (SVM) On Small Datasets with Class Imbalance, Akshatha Fakkeriah Kallappanamatt
A JavaScript Framework Comparison Based on Benchmarking Software Metrics and Environment Configuration, Jefferson Ferreira
Exploring the Features to Classify the Musical Period of Western Classical Music, Arturo Martínez Gallardo
A Demographic Analysis to Determine User Vulnerability among Several Categories of Phishing Attacks., Robert Griffin
Image Classification Using Bag-of-Visual-Words Model, Kaiqiang Huang
Classification Using Association Rules, Colin Kane
Investigation into the Predictive Power of Artificial Neural Networks and Logistic Regression for Predicting Default in Chit Funds, Ciara Kerrigan
Intergrating the Fruin LOS into the Multi-Objective Ant Colony System, Tirdad Kiafar
Automatic Table Extension with Open Data, Benedikt Kleppmann
An Exploration of Parliamentary Speeches in the Irish Parliament Using Topic Modeling, Fiona Leheny
An Investigation into Factors Which Explain the Scores and Voting Patterns of the Eurovision Song Contest., Oisín Leonard
Elasticity Measurement in CaaS Environments - Extending the Existing BUNGEE Elasticity Benchmark to AWS's Elastic Container Service, Nora Limbourg
That Seems Made Up: Deep Learning Classifiers for Fiction & Non Fiction Book Reviews, Clement Manger
Through the Net: Investigating How User Characteristics Influence Susceptibility to Phishing, Charlie Marriott
An Analysis of Software Testing Practices on Migrations From on Premise to Cloud Hosted Environments, Ronan Mullen
Predicting Happiness - Comparison of Supervised Machine Learning Techniques Performance on a Multiclass Classification Problem, Dorota Nieciecka
Assesing Completeness of Solvency and Financial Condition Reports through the use of Machine Learning and Text Classification, Ruairí Nugent
Clicking into Mortgage Arrears: A Study into Arrears Prediction with Clickstream Data, Gavin O'Brien
Comparing the Effectiveness of Support Vector Machines and Convolutional Neural Networks for Determining User Intent in Conversational Agents, Kieran O Sullivan
Spoilage Detection in Raspberry Fruit Based on Spectral Imaging Using Convolutional Neural Networks, Karthik Kuchangi Jothi Prakash
Supervised Learning Models to Predict Stock Direction Within Different Sectors in a Bull and Bear Market, Tiffany Razy
Investigating the Application of Deep Convolutional Neural Networks in Semi-supervised Video Object Segmentation, Jayadeep Sasikumar
A Performance Comparison of Neural Network and SVM Classifiers Using EEG Spectral Features to Predict Epileptic Seizures, Ian Thomas Tennant Watson
Comparing the Effectiveness of Different Classification Techniques in Predicting DNS Tunnels, Patrick Walsh
Visualization of Co-authorshipin DIT Arrow, Dan Xu
Handwritten Digit Recognition and Classification Using Machine Learning, Ke Zhao
Submissions from 2017
Can Phishing Education Enable Users To Recognize Phishing Attacks?, Hanaa Alghamdi
A Model for Anomalies Detection in Internet of Things (IoT) Using Inverse Weight Clustering and Decision Tree, Ahod Alghuried
An Exploration Study of using the Universities Performance and Enrolments Features for Predicting the International Quality, Aeshah Althagafi
Exploring the Factors that Affect Secondary Student’s Mathematics and Portuguese Performance in Portugal, Lulu Cheng