| Vol-2563 urn:nbn:de:0074-2563-0 Copyright © 2019 for the individual papers by the papers' authors. Copyright © 2019 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 2019
27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science

### Proceedings for the 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science
NUI Galway

### Galway, Ireland, December 5-6th, 2019.

Edited by

### Edward Curry *
Mark Keane **
Adegboyega Ojo *
Dhaval Salwala *

* Data Science Institute, NUI Galway, Ireland
** School of Computer Science, University College Dublin, Ireland

## Table of Contents

- Preface

### Keynote Speaker

- Beyond DBpedia & YAGO - The New Kids on the Knowledge Graph Block 1-2
  Heiko Paulheim
- Automatic Differentiation and Ubiquitous Adaptive Computing 3-3
  Barak A. Pearlmutter

### Full Papers

- NaïveRole: Author-Contribution Extraction and Parsing from Biomedical Manuscripts 4-15
  Dominika Tkaczyk, Andrew Collins, Joeran Beels
- Using Magnetic Resonance Imaging to Distinguish a Healthy Brain from a Bipolar Brain: A Transfer Learning Approach 16-27
  Philip Martyn, Genevieve McPhilemy, Leila Nabulsi, Fiona Martyn, Colm McDonald, Dara Cannon, Michael Schukat
- Analysis of Cryptocurrency Commodities with Motifs and LSTM 28-39
  Benjamin Barry, Martin Crane
- Advanced Deep Learning Methodologies for Skin Cancer Classification in Prodromal Stages 40-51
  Muhammad Ali Farooq, Asma Khatoon, Viktor Varkarakis, Peter Corcoran
- Unsupervised Learning Approach for Identifying Sub-genres in Music Scores 52-63
  Girija Shingte, Mathieu D'Aquin
- A Topic-Based Approach to Multiple Corpus Comparison 64-75
  Jinghui Lu, Maeve Henchion, Brian Mac Namee
- Deep Learning Human Activity Recognition 76-87
  David Browne, Michael Gierin, Steven Prestwich
- Deconvolutional Pixel Layer Model for Road segmentation without Human Assistance 88-94
  Abdul Wahid, Muhammad Intizar Ali
- Using Text Classification Methods to Detect Malware 95-103
  Eoghan Cunningham, Oisin Boydell, Cormac Doherty, Benjamin Roques, Quan Le
- Conversational AI: Social and Ethical Considerations 104-115
  Elayne Ruane, Abeba Birhane, Anthony Ventresqueo
- Detecting Hacker Threats: Performance of Word and Sentence Embedding Models in Identifying Hacker Communications 116-127
  Andrei Lima Queiroz, Susan Mckeever, Brian Keegan
- Back-translation Approach for Code-switching Machine Translation: A Case Study 128-139
  Maraim Masoud, Daniel Torregrosa, Paul Buitelaar, Mihael Arcan
- On the Validity of Bayesian Neural Networks for Uncertainty Estimation 140-151
  John Mitros, Brian Mac Namee
- Towards a Temporal Deep Learning Model to Support Sustainable Agricultural Practices 152-163
  Agustín García Pereira, Lukasz Porwol, Adegboyega Ojo, Edward Curry
- Investigating Company Logo Memorability with Convolutional Neural Embedding Models 164-175
  Eoghan Keany, James McDermott
- Perception Deception: Audio-Visual Mismatch in Virtual Reality Using The McGurk Effect 176-187
  Abubakr Siddig, Pheobe Wenyi Sun, Matthew Parker, Andrew Hines
- Towards the Control of Epidemic Spread: Designing Reinforcement Learning Environments 188-199
  Andrea Yanez, Conor Hayes, Frank Glavin
- A Psychologist Chatbot Developing Experience 200-211
  Abubakr Siddig, Andrew Hines
- A Comparison of Deep Learning Models in Human Activity Recognition and Behavioural Prediction on the MHEALTH Dataset 212-223
  Jamie O'Halloran, Edward Curry
- From VR-Participation Back to Reality – an AI&VR-driven Approach for Building Models for Effective Communication in e-Participation 224-235
  Lukasz Porwol, Agustin Garcia Pereira, Adegboyega Ojo
- Machine Learning Methods Applied to Building Energy Production and Consumption Prediction 236-247
  Paulo Lissa, Dayanne Peretti, Michael Schukat, Enda Barrett, Federico Seri, Marcus Keane

### Student Papers

- Impact of Different Levels of Difficulty on Immersion in Video Games 248-259
  Jim Sigailov-Lanfranchi
- GIANT: The 1-Billion Annotated Synthetic Bibliographic-Reference-String Dataset for Deep Citation Parsing 260-271
  Mark Grennan, Martin Schibel, Andrew Collins, Joeran Beel
- Predicting the Outcome of Judicial Decisions made by the European Court of Human Rights 272-283
  Conor O'Sullivans, Joeran Beel
- Multi-stream Data Analytics for Enhanced Performance Prediction in Fantasy Football 284-292
  Nicholas Bonello, Joeran Beel, Séamus Lawless, Jeremy Debattista
- Identifying Extra-terrestrial Intelligence Using Machine Learning 293-304
  Małgorzata Gutowska, Michael Scriney, Andrew McCarren
- Smart Speaker Design and Implementation with Biometric Authentication and Advanced Voice Interaction Capability 305-316
  Bharath Sudharsan, Peter Corcoran, Muhammad Intizar Ali
- Mitigation of Unintended Biases against Non-Native English Texts in Sentiment Analysis 317-328
  Alina Zhiltsova, Simon Caton, Catherine Mulway
- A Framework for Generating Aviation Risk Information Mobile User Interfaces from Knowledge Graphs 329-340
  Junli Liang, Yalemisew Abgaz, Rob Brennan
- An Intelligent Linked Data Quality Dashboard 341-352
  Ramneesh Vaidyambath, Jeremy Debattista, Neha Srivatsa, Rob Brennan
- Arrhythmia Detection in ECG Signals Using a Multilayer Perceptron Network 353-364
  Gaurav Kumar, Urja Pawar, Ruairi O'Reilly
- Using WGAN for Improving Imbalanced Classification Performance 365-375
  Snehal Bhatia, Rozenn Dahyot
- Detecting Bot Behaviour in Social Media using Digital DNA Compression 376-387
  Nivranshu Pasricha, Conor Hayes
- The Digital Transformation of Irish Non-Profit Organisations 388-399
  John O'Grady, Paula Roberts
- A Comparative Analysis of Classification Techniques for Cervical Cancer Utilising At Risk Factors and Screening Test Results 400-411
  Sean Quinlan, Haithem Afli, Ruairi O'Reilly
- An Evaluation of the Impact of Training Data Locality on the Effectiveness of Knowledge Graph Embeddings Models 412-423
  Marc Mellotte, Conor Hayes
- Enabling Multi-Party Consensual Data Exchange Through Blockchain 424-433
  Jack Hickey, Ruairi O'Reilly
- Interpretable Machine Learning Models for Assisting Clinicians in the Analysis of Physiological Data 434-445
  P. Nisha, Urja Pawar, Ruairi O'Reilly
- A Comparative Study of SVM and LSTM Deep Learning Algorithms for Stock Market Prediction 446-457
  Sai Krishna Lakshminarayanan, John McCrae
- Convolutional Neural Network-based Automatic Prediction of Judgments of the European Court of Human Rights 458-469
  Arshdeep Kaur, Bojan Bozic
- Temporal Word Embeddings for Dynamic User Profiling in Twitter 470-479
  Breandán Kerin, Annalina Caputo, Seamus Lawless

2020-02-29: submitted by Dhaval Salwala, metadata incl. bibliographic data published under Creative Commons CC0
2020-03-01: published on CEUR-WS.org |valid HTML5|