| Vol-2771 urn:nbn:de:0074-2771-3 Copyright © 2020 for the individual papers by the papers' authors. Copyright © 2020 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 2020
Artificial Intelligence and Cognitive Science

### Proceedings of The 28th Irish Conference on Artificial Intelligence and Cognitive Science

### Dublin, Republic of Ireland, December 7-8, 2020.

Edited by

### Luca Longo
Lucas Rizzo
Elizabeth Hunter
Arjun Pakrashi

Technological University Dublin, School of Computer Science, Dublin, Republic of Ireland

## Table of Contents

- Preface
  Summary: There were 71 papers submitted for peer-review to this workshop. Out of these, 29 papers were accepted for this volume,

### Full papers

- Active Learning for the Text Classification of Rock Climbing Logbook Data 1-12
  Eoghan Cunningham, Derek Greene
- Geoff: A Linked Data Vocabulary for Describing the Form and Function of Spatial Objects 13-24
  Kris McGlinn, Declan O’ Sullivan, Christophe Debruyne, Eamonn Clinton, Rob Brennan
- LightGWAS: A Novel Machine Learning Procedure for Genome-Wide Association Study 25-36
  Bruno Ambrozio, Luca Longo, Lucas Rizzo
- Exploring the potential of defeasible argumentation for quantitative inferences in real-world contexts: An assessment of computational trust 37-48
  Lucas Rizzo, Pierpaolo Dondio, Luca Longo
- Finding Short Lived Events on Social Media 49-60
  David Kilroy, Simon Caton, Graham Healy
- An Evacuation Route Model for Disaster Affected Areas 61-72
  Vinaysheel K. Wagh, Pramod Pathak, Paul Stynes, Luis G. Nardin
- Using Navigable Small Worlds to Speed Up Time-Series Classification 73-84
  Vivek Mahato, Pádraig Cunningham
- A comparative analysis of rule-based, model-agnostic methods for explainable artificial intelligence 85-96
  Giulia Vilone, Lucas Rizzo, Luca Longo
- Combining Local Search and Genetic Algorithm for Two-Dimensional Guillotine Bin Packing Problems with partial sequence constraint 97-108
  Filipe Souza, Diarmuid Grimes
- Where’s the Why? In Search of Chains of Causes for Query Events 109-120
  Suchana Datta, Derek Greene, Debasis Ganguly, Dwaipayan Roy, Mandar Mitra
- Differentiation in Personality Emotion Mappings From Self Reported Emotion and Automatically Classified Emotion 121-132
  Ryan Donovan, Aoife Johnson, Ruairi O’ Reilly
- Assessing the Appetite for Trustworthiness and the Regulation of Artificial Intelligence in Europe 133-144
  Labhaoise NíFhaoláin, Andrew Hines, Vivek Nallur
- Exploring Composite Dataset Biases for Heart Sound Classification 145-156
  Davoud Shariat Panah, Andrew Hines, Susan Mckeever
- TensorFlow Enabled Deep Learning Model Optimization for enhanced Realtime Person Detection using Raspberry Pi operating at the Edge 157-168
  Reenu Mohandas, Mangolika Bhattacharya, Mihai Penica, Karl Van Camp, Martin J. Hayes
- Incorporating Explainable Artificial Intelligence (XAI) to aid the Understanding of Machine Learning in the Healthcare Domain 169-180
  Urja Pawar, Donna O’ Shea, Susan Rea, Ruairi O’Reilly
- Streetseek - Understanding Public Space Engagement Using Deep Learning & Thermal Imaging 181-192
  Ciarán O’ Mara, Eoghan Mulcahy, Pepijn Van de Ven, John Nelson

### Student papers

- Using GANs to Synthesise Minimum Training Data for Deepfake Generation 193-204
  Simranjeet Singh, Rajneesh Sharma, Alan F. Smeaton
- Analysis of Machine Learning Methods for Predicting Stock Prices 205-216
  Oluwadurotimi Onibonoje, Kevin Djoussa, Mark Roantree
- Identifying Complaints from Product Reviews: A Case Study on Hindi 217-228
  Raghvendra Pratap Singh, Rejwanul Haque, Mohammed Hasanuzzaman, Andy Way
- Neural Architecture Search using Particle Swarm and Ant Colony Optimization 229-240
  Séamus Lankford, Diarmuid Grimes
- Improved Speech Synthesis using Generative Adversarial Networks 241-252
  Dineshraj Gunasekaran, Gautham Venkatraj, Eoin Brophy, Tomas Ward
- Demand Prediction for Shared Mobility Services using Time Series Modelling 253-264
  Rudi Camilleri, Jeremy Debattista
- An Investigation of Transfer Learning for a Lifelog Dataset 265-276
  Akanksha Rajpute, Tejal Nijai, Graham Healy
- Optimising PID Control with Residual Policy Reinforcement Learning 277-288
  Andrew Hynes, Elena Sapozhnikova, Ivana Dusparic
- Simple Question Answering Over a Domain-Specific Knowledge Graph using BERT by Transfer Learning 289-300
  Mani Vegupatti, Matthias Nickles, Bharathi Raja Chakravarthi
- Less is More when Applying Transfer Learning to Multi-Spectral Data 301-312
  Yuvraj Sharma, Robert Ross
- Intentional Forgetting: Investigating Interpretations and Future Potentials of Cognitive Control 313-324
  Alysha Higgins
- Synthesising Tabular Data using Wasserstein Conditional GANs with Gradient Penalty (WCGAN-GP) 325-336
  Manhar Walia, Brendan Tierney, Susan McKeever
- A Multi-class Approach – Building a Visual Classifier based on Textual Descriptions using Zero-Shot Learning 337-348
  Preeti Jagdish Sajjan, Frank G. Glavin

2020-12-18: submitted by Luca Longo, metadata incl. bibliographic data published under Creative Commons CC0
2020-12-18: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|