Submissions from 2022
Dark Patterns: Effect on Overall User Experience and Site Revisitation, Deon Soul Calawen
Evaluating the Performance of Vision Transformer Architecture for Deepfake Image Classification, Devesan Govindasamy
Development of an Explainability Scale to Evaluate Explainable Artificial Intelligence (XAI) Methods, Stephen McCarthy
Measuring and Comparing Social Bias in Static and Contextual Word Embeddings, Alan Cueva Mora
An Analysis on Network Flow-Based IoT Botnet Detection Using Weka, Cian Porteous
Submissions from 2021
Evaluating the Performance of Transformer architecture over Attention architecture on Image Captioning, Deepti Balasubramaniam
A Hybrid Neural Network for Stock Price Direction Forecasting, Daniel Devine
Finetuning BERT and XLNet for Sentiment Analysis of Stock Market Tweets using Mixout and Dropout Regularization, Shubham Jangir
Human Age and Gender Classification using Convolutional Neural Networks, Eamon Kelliher
Event-driven servers using asynchronous, non-blocking network I/O: Performance evaluation of kqueue and epoll, Lorcan Leonard
Improving a Network Intrusion Detection System’s Efficiency Using Model-Based Data Augmentation, Vinicius Waterkemper Lodetti
Can Generative Adversarial Networks Help Us Fight Financial Fraud?, Sean McIver
Combination of Facebook Prophet and Attention-Based LSTM with Multi- Source data for Indian Stock Market Prediction, Pavan Nagesh
Exploiting BERT and RoBERTa to Improve Performance for Aspect Based Sentiment Analysis, Gagan Reddy Narayanaswamy
Performance comparison between a distributed particle swarm algorithm and a centralised algorithm, Ciarán O’Loughlin
An Evaluation on the Performance of Code Generated with WebAssembly Compilers, Raymond Phelan
Identifying Roles of Software Developers from their Answers on Stack Overflow, Dean Power
A Comparison of Instructional Efficiency Models in Third Level Education, Murali Rajendran
Comparing the Explainability of Different Crop Disease Identification Models Using LIME, Tamil Selvi Bancras Samuel
Feature Augmentation for Improved Topic Modeling of Youtube Lecture Videos using Latent Dirichlet Allocation, Nakul Srikumar
Adequately Generating Captions for an Image Using Adaptive and Global Attention Mechanisms., Shravan Kumar Talanki Venkatarathanaiahsetty
Identifying significant features for Player Evaluation in NFL comparing ANNs and Traditional Models, Ronan Walsh
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
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