| Vol-3105 urn:nbn:de:0074-3105-7 Copyright © 2021 for the individual papers by the papers' authors. Copyright © 2021 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 2021
Artificial Intelligence and Cognitive Science 2021

### The 29th Irish Conference on Artificial Intelligence and Cognitive Science 2021

### Dublin, Republic of Ireland, December 9-10, 2021.

Edited by

### Arjun Pakrashi
Ellen Rushe
Mehran Hossein Zadeh Bazargani
Brian Mac Namee

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

## Table of Contents

- Preface
  Summary: There were 44 papers submitted for peer-review to this workshop. Out of these, 24 papers were accepted for this volume, 17 regular papers and 7 student papers.

### Full Papers

- Modelling the COVID-19 Virus Evolution With Incremental Machine Learning 1-12
  Andrés L. Suárez-Cetrulo, Ankit Kumar, Luis Miralles-Pechuán
- Virtual Tutor Personality in Computer Assisted Language Learning 13-24
  Johanna Dobbriner, Cathy Ennis, Robert Ross
- Domain Randomization for Object Counting 25-35
  Enric Moreu, Kevin McGuinness, Diego Ortego, Noel E. O'Connor
- Robust 3D U-Net Segmentation of Macular Holes 36-47
  Jonathan Frawley, Chris G. Willcocks, Maged Habib, Caspar Geenen, David H. Steel, Boguslaw Obara
- Malware Classification Using Static Disassembly and Machine Learning 48-59
  Zhenshuo Chen, Eoin Brophy, Tomas Ward
- Nearest Neighbour-Based Data Augmentation for Time Series Forecasting 60-71
  Duncan Wallace, Eoin Delaney, Mark T. Keane, Derek Greene
- Machine Learning in Space: A Review of Machine Learning Algorithms and Hardware for Space Applications 72-83
  James Murphy, John E Ward, Brian Mac Namee
- Sign Language Fingerspelling Recognition using Synthetic Data 84-95
  Frank Fowley, Anthony Ventresque
- Synthetic Data for Unsupervised Polyp Segmentation 96-105
  Enric Moreu, Kevin McGuinness, Noel E. O'Connor
- Panta Rhei: Curiosity-Driven Exploration to Learn the Image-Schematic Affordances of Pouring Liquids 106-117
  Mihai Pomarlan, Maria M. Hedblom, Robert Porzel
- Loan Default Prediction Using Spark Machine Learning Algorithms 118-129
  Aiman Muhammad Uwais, Hamidreza Khaleghzadeh
- Sentiment Analysis: Using Detrended Fluctation Analysis of EEG Signals in Natural Reading 130-140
  Boi Mai Quach, Cathal Gurrin, Graham Healy
- Linguistic and Gender Variation in Speech Emotion Recognition Using Spectral Features 141-152
  Zachary Dair, Ryan Donovan, Ruairi O'Reilly
- Bias Bubbles: Using Semi-Supervised Learning to Measure How Many Biased News Articles Are Around Us 153-164
  Qin Ruan, Brian Mac Namee, Ruihai Dong
- Solving the Real Robot Challenge Using Deep Reinforcement Learning 165-175
  Robert McCarthy, Francsico Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel O'Connor, Stephen Redmond
- Adaptation of Compositional Data Analysis in Deep Learning to Predict Pasture Biomass Proportions 176-187
  Badri Narayanan, Mohamed Saadeldin, Paul Albert, Kevin McGuinness, Noel E. O'Connor, Brian Mac Namee
- Combining Ensembles of Multi-Input Multi-Output Subnetworks and Data Augmentation Does not Harm Your Calibration 188-199
  Çağrı Demir, Simon Caton, Pierpaolo Dondio

### Student Papers

- Towards an Optimised Vehicle Detection Algorithm for Multi-Object Tracking in Traffic Surveillance 200-211
  Soumi Mitra, Nandhini Reddy Aileni, Irina Tal, Malika Bendechache
- Evaluation of Interest and Coherence in Machine Generated Stories 212-223
  Dominic Callan, Jennifer Foster
- Representational and Embodied Accounts of Abstract Concepts: A Framework for Prelinguistic Acquisition of Numerical Cognition 224-235
  Jules Wax
- Image Segmentation to Identify Safe Landing Zones for Unmanned Aerial Vehicles 235-247
  Joe Kinahan, Alan F. Smeaton
- Forecasting Gold Prices Using Temporal Convolutional Networks 248-259
  Justin Fajou, Andrew McCarren
- Debated Backpropagation 260-271
  Isaac James, Christopher Stone, Alice Toniolo
- Detection of Covid-19 From an Imbalanced Chest X-ray Image Data Set 272-283
  Sharath Madhu Manjunath, Manju Gurjar, Neil O'Kane, Andrew McCarren, Leonardo Gualano

2022-02-27: submitted by Arjun Pakrashi, metadata incl. bibliographic data published under Creative Commons CC0
2022-03-10: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|