| Vol-3910 urn:nbn:de:0074-3910-X Copyright © 2024 for the individual papers by the papers' authors. Copyright © 2024 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# AICS 2024
Artificial Intelligence and Cognitive Science 2024

### Proceedings of The 32nd Irish Conference on Artificial Intelligence and Cognitive Science

### Dublin, Republic of Ireland, December 9-10, 2024.

Edited by

### Arjun Pakrashi
Ellen Rushe
Brian Mac Namee
Rob Brennan
Beyza Yaman

School of Computer Science, University College Dublin, Dublin, Ireland
School of Computer Science, Dublin City University, Dublin, Ireland

## Table of Contents

- Preface
  Summary: There were 80 papers submitted for peer-review to this conference. Out of these, 40 papers were accepted for this volume.

### Papers

- Tangentially Aligned Integrated Gradients for User-Friendly Explanations 1-12
  Lachlan Simpson, Federico Costanza, Kyle Millar, Adriel Cheng, Cheng-Chew Lim, Hong Gunn Chew
- Towards Understanding Deep Representations in CNN: from Concepts to Relations Extraction via Knowledge Graphs 13-25
  Eric Ferreira dos Santos, Alessandra Mileo
- A Global Post Hoc XAI Method For Interpreting LSTM Using Deterministic Finite State Automata 26-38
  Gargi Gupta, Luca Longo, M. Atif Qureshi
- An Explainable Genetic Programming Approach to Safely Predict Cyberbullying Occurrence in Ireland 39-50
  Aidan Murphy, Mahsa Mahdinejad, Saeed Ahmad Syed, Joe Kenny, Anthony Ventresque
- Exploring the Potential of Bilevel Optimization for Calibrating Neural Networks 51-63
  Gabriele Sanguin, Arjun Pakrashi, Marco Viola, Francesco Rinaldi
- Data Poisoning Attacks in the Training Phase of Machine Learning Models: A Review 64-75
  Mugdha Srivastava, Abhishek Kaushik, Róisín Loughran, Kevin Mc Daid
- Extending TWIG: Zero-Shot Predictive Hyperparameter Selection for KGEs based on Graph Structure 76-88
  Jeffrey Sardina, John Kelleher, Declan O'Sullivan
- An Investigation into the Application of Anomaly Detection and the Meijering Filter in the eKYC Process to Detect Recaptured Identity Documents 89-101
  John Magee, Stephen Sheridan, Christina Thorpe
- Handling Class Imbalance via Counterfactual Generation in Medical Datasets 102-113
  Asifa Qureshi, Abhishek Kaushik, Gilbert Regan, Kevin Mc Daid, Fergal Mc Caffery
- Exploring Chronic Disease Trends among Adults in the USA: A Statistical Analysis with Visual Insights 114-126
  Vuong Ngo, Geetika Sood, Fionnuala Donohue, Patricia Kearney, Jennifier Pallin, Mark Roantree
- Automatic Speech Recognition Models for Pathological Speech: Challenges and Insights 127-137
  Kesego Mokgosi, Cathy Ennis, Robert Ross
- How do Employees Engage Within an Online Wellbeing Platform? Insights From Association Rule Mining Analysis 138-150
  Gillian Cameron, Maurice Mulvenna, Raymond Bond, Edel Ennis, Siobhan O'Neill, David Cameron, Alex Bunting
- On the Benefits of Bluntness in Virtual Characters for Motivational Interviews 151-163
  Michael O'Mahony, Cathy Ennis, Robert Ross
- AICat: An AI Cataloguing Approach to Support the EU AI Act 164-176
  Delaram Golpayegani, Harshvardhan J. Pandit, Dave Lewis
- Modeling Implicit Attitudes with Natural Language Data: A Comparison of Language Models 177-188
  Alexander Porshnev, Kevin Dirk Kiy, Diarmuid O'Donoghue, Manokamna Singh, Cai Wingfield, Dermot Lynott
- An Examination of Embedding Methods for Entity Comparison in Text-Rich Knowledge Graphs 189-201
  Huan Chen, Gareth Jones, Rob Brennan
- “An bhfuil Gaeilge agat?”: Differences in user interaction and assistant responses across languages of European origin in large-scale conversational datasets 202-214
  Aldan Creo
- Mapping Upper Secondary Computer Science Specifications Against UNESCO’s Framework of AI Learning Outcomes 215-227
  Joyce Mahon, Brian Mac Namee, Brett Becker
- NLP-Based Analysis of Annual Reports: Asset Volatility Prediction and Portfolio Strategy Application 228-240
  Xiao Li, Yang Xu, Linyi Yang, Yue Zhang, Ruihai Dong
- Multi-Objective Mixed Bus Fleet Charging Schedule Problem with Time-of-Use for real-world data-sets 241-253
  Padraigh Jarvis, Laura Climent, Alejandro Arbelaez
- Characterizing Multi-Source Data for Effective Urban Mobility Modelling: The Case of New York City 254-265
  Tonny Rutayisire, Jun Liu, Samuel Moore, Carlos Balsas
- The Impact of CLIP Encoders and CNN Architectures on Model Efficiency: A Case Study on Hate Speech Detection 266-278
  Christof Kälin, Ellen Rushe, Stefan Kull, Andrew McCarren
- Autonomous Satellite Health Monitoring using EIRSAT-1 Telemetry 279-289
  James Murphy, Muhammad Deedahwar Mazhar Qureshi, Jake O'Brien, Brian Mac Namee
- A Real-Time Prediction System for Restaurant Orders Using Time Series and Behavioural Analytics: A Conceptual Framework 290-300
  Amir Arzy, Fereshteh Khodaparast, Ruairi O'Reilly
- Identifying Subject Bias in WiFi-based Human Activity Recognition Evaluation Methods 301-313
  Amany Elkelany, Robert Ross, Susan Mckeever
- Investigating the Impact of Internal Inputs on Mmultisensory Integration: A ‎Study of External ‎Multisensory Inputs and Internal Arousal 314-322
  Zahra Azizi, Jason Chan, Tomas Ward, Annalisa Setti
- An Evaluation of Features Extracted from Facial Images in the Context of Accurate Age Estimation 323-335
  Malik Awais Khan, Aurelia Power, Peter Corcoran, Christina Thorpe
- Modelling Expected Threat in Gaelic Football using a Markov Chain Approach 336-347
  Ciaran Sheelan, Kevin McDaid, Jack McDonnell
- Mitigating Bias in Medical Datasets: A Comparative Analysis of Generative Adversarial Networks (GANs) Based Data Generation Techniques 348-360
  Mohamed Ashik Shahul Hameed, Asifa Qureshi, Abhishek Kaushik
- Back-filling Missing Data When Predicting Domestic Electricity Consumption From Smart Meter Data 361-373
  Xianjuan Chen, Shuxiang Cai, Alan Smeaton
- The Impact of Feature Quantity on Recommendation Algorithm Performance 374-383
  Lukas Wegmeth
- Neural Architecture Search for Crop Yield Prediction using Multimodal Data 384-396
  Heera Lal Khatri, Paul Greaney, Jade Lyons, Thomas Dowling
- Image Retrieval with Short Text Queries 397-407
  Ojas Rane, Brian Mac Namee, Conor Nugent
- Generative AI-Enabled Chatbot for Improving Students Understanding and Awareness of Academic Integrity Policies 408-420
  Claudio Gonzalez, Faithful Onwuegbuche
- k-Most-Influential Neighbours: Noise-Resistant kNN 421-433
  Matt Mallen, Derek Bridge
- AI-Informed Development for a Lactate Measurement Tool 434-446
  Cian Kiely, Nicola Rossberg, Shree Krishnamoorth, Andrea Visentin
- Street Navigation for Visual Impairment using CNN and Transformer Models 447-459
  Hasan Ali, Faithful Onwuegbuche
- Deep Learning Pipeline for Blood Cell Segmentation, Classification and Counting 460-472
  Abhijeet Rao, Kiang Wei Kho, Vitaliy Mykytiv, Andrea Visentin
- Datasheets for Healthcare AI: A Framework for Transparency and Bias Mitigation 473-485
  Marjia Siddik, Harshvardhan Pandit
- Machine Learning Physical Fatigue Estimation Approach Based on IMU and EMG Wearable Sensors 486-498
  Suraj Prasannan Nair, Marco Sica, Salvatore Tedesco, Andrea Visentin

2025-03-11: submitted by Arjun Pakrashi, metadata incl. bibliographic data published under Creative Commons CC0
2025-03-21: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|