AICS 2020
Artificial Intelligence and Cognitive Science

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