Submissions from 2023
Application of Shallow Neural Networks to Retail Intermittent Demand Time Series, Urko Allende
The Vulnerability Through Cyberattacks Related to Technological Differences Between Centralized, Server-Based and Ethereum Based Smart Home Systems, Friederike Johanna Haberl
A Style-Based Approach for Detecting COVID-19 Fake News, Richard Madden
Development of a Hospital Discharge Planning System Augmented with a Neural Clinical Decision Support Engine, David Mulqueen
The Effects of Disinformation Upon National Attitudes Towards the EU and its Institutions, Alex Murphy
Exploring Gender Bias in Semantic Representations for Occupational Classification in NLP: Techniques and Mitigation Strategies, Joseph Michael O'Carroll
A Computational Model of Trust Based on Dynamic Interaction in the Stack Overflow Community, Patrick O’Neill
EXPLOITING ASSOCIATION RULES MINING TO INFORM THE USE OF NON-MANUAL FEATURES IN SIGN LANGUAGE PROCESSING, Robert G. Smith
Probability Expressions in AI Decision Support: Impacts on Human+AI Team Performance, Elias Spinn
Explaining Deep Q-Learning Experience Replay with SHapley Additive exPlanations, Robert S. Sullivan
Submissions from 2022
Dark Patterns: Effect on Overall User Experience and Site Revisitation, Deon Soul Calawen
Performance Evaluation of an Edge Computing Implementation of Hyperledger Sawtooth for IoT Data Security, Sean Connolly
Improving Dysarthric Speech Recognition by Enriching Training Datasets, Sophie Cullen
Hybridization of Biologically Inspired Algorithms for Discrete Optimisation Problems, Elihu Essian-Thompson
Evaluating the Performance of Vision Transformer Architecture for Deepfake Image Classification, Devesan Govindasamy
Scrolling vs Paging: Reading Performance and Preference of Reading Modes in Long-form Online News, Richard Herlihy
Ensemble Approach to the Semantic Segmentation of Satellite Images, Brendan Kent
Real-Time Stock Market Recommendation & Prediction using Multi Source Data, Kalpana Konety
Development of an Explainability Scale to Evaluate Explainable Artificial Intelligence (XAI) Methods, Stephen McCarthy
Development of an Explainability Scale to Evaluate Explainable Artificial Intelligence (XAI) Methods, Stephen McCarthy
COVID-19: A Review of Random Testing as an Augmentation of a Close-Contact Testing Regime in Response to the COVID-19 Pandemic, John McDonnell
Measuring and Comparing Social Bias in Static and Contextual Word Embeddings, Alan Cueva Mora
The Impact of Emotion Focused Features on SVM and MLR Models for Depression Detection, Alexandria Mulligan
KG-CNN: Augmenting Convolutional Neural Networks with Knowledge Graphs for Multi-Class Image Classification, Aidan O'Neill
An Analysis on Network Flow-Based IoT Botnet Detection Using Weka, Cian Porteous
Evaluation Of Automated Eye Blink Artefact Removal Using Stacked Dense Autoencoder, Matthew Rigney
Examining the Effects of Disabilities on VR Usage and Accessibility Issues for Persons with Disabilities, Sean Williams
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