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