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ORCID28th AICS 2020: Dublin, Ireland
- Luca Longo, Lucas Rizzo, Elizabeth Hunter, Arjun Pakrashi:
Proceedings of The 28th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Republic of Ireland, December 7-8, 2020. CEUR Workshop Proceedings 2771, CEUR-WS.org 2020
Full papers
- Eoghan Cunningham, Derek Greene:
Active Learning for the Text Classification of Rock Climbing Logbook Data. 1-12 - Kris McGlinn, Declan O'Sullivan, Christophe Debruyne, Eamonn Clinton, Rob Brennan:
Geoff: A Linked Data Vocabulary for Describing the Form and Function of Spatial Objects. 13-24 - Bruno Ambrozio, Luca Longo, Lucas Rizzo:
LightGWAS: A Novel Machine Learning Procedure for Genome-Wide Association Study. 25-36 - Lucas Rizzo, Pierpaolo Dondio, Luca Longo:
Exploring the potential of defeasible argumentation for quantitative inferences in real-world contexts: An assessment of computational trust. 37-48 - David Kilroy, Simon Caton, Graham Healy:
Finding Short Lived Events on Social Media. 49-60 - Vinaysheel K. Wagh, Pramod Pathak, Paul Stynes, Luis G. Nardin:
An Evacuation Route Model for Disaster Affected Areas. 61-72 - Vivek Mahato, Pádraig Cunningham:
Using Navigable Small Worlds to Speed Up Time-Series Classification. 73-84 - Giulia Vilone, Lucas Rizzo, Luca Longo:
A comparative analysis of rule-based, model-agnostic methods for explainable artificial intelligence. 85-96 - Filipe Souza, Diarmuid Grimes:
Combining Local Search and Genetic Algorithm for Two-Dimensional Guillotine Bin Packing Problems with partial sequence constraint. 97-108 - Suchana Datta, Derek Greene, Debasis Ganguly, Dwaipayan Roy, Mandar Mitra:
Where's the Why? In Search of Chains of Causes for Query Events. 109-120 - Ryan Donovan, Aoife Johnson, Ruairi O'Reilly:
Differentiation in Personality Emotion Mappings From Self Reported Emotion and Automatically Classified Emotion. 121-132 - Labhaoise NíFhaoláin, Andrew Hines, Vivek Nallur:
Assessing the Appetite for Trustworthiness and the Regulation of Artificial Intelligence in Europe. 133-144 - Davoud Shariat Panah, Andrew Hines, Susan McKeever:
Exploring Composite Dataset Biases for Heart Sound Classification. 145-156 - Reenu Mohandas, Mangolika Bhattacharya, Mihai Penica, Karl Van Camp, Martin J. Hayes:
TensorFlow Enabled Deep Learning Model Optimization for enhanced Realtime Person Detection using Raspberry Pi operating at the Edge. 157-168 - Urja Pawar, Donna O'Shea, Susan Rea, Ruairi O'Reilly:
Incorporating Explainable Artificial Intelligence (XAI) to aid the Understanding of Machine Learning in the Healthcare Domain. 169-180 - Ciarán O' Mara, Eoghan Mulcahy, Pepijn van de Ven, John Nelson:
Streetseek - Understanding Public Space Engagement Using Deep Learning & Thermal Imaging. 181-192
Student papers
- Simranjeet Singh, Rajneesh Sharma, Alan F. Smeaton:
Using GANs to Synthesise Minimum Training Data for Deepfake Generation. 193-204 - Oluwadurotimi Onibonoje, Kevin Djoussa, Mark Roantree:
Analysis of Machine Learning Methods for Predicting Stock Prices. 205-216 - Raghvendra Pratap Singh, Rejwanul Haque, Mohammed Hasanuzzaman, Andy Way:
Identifying Complaints from Product Reviews: A Case Study on Hindi. 217-228 - Séamus Lankford, Diarmuid Grimes:
Neural Architecture Search using Particle Swarm and Ant Colony Optimization. 229-240 - Dineshraj Gunasekaran, Gautham Venkatraj, Eoin Brophy, Tomás Ward:
Improved Speech Synthesis using Generative Adversarial Networks. 241-252 - Rudi Camilleri, Jeremy Debattista:
Demand Prediction for Shared Mobility Services using Time Series Modelling. 253-264 - Akanksha Rajpute, Tejal Nijai, Graham Healy:
An Investigation of Transfer Learning for a Lifelog Dataset. 265-276 - Andrew Hynes, Elena P. Sapozhnikova, Ivana Dusparic:
Optimising PID Control with Residual Policy Reinforcement Learning. 277-288 - Mani Vegupatti, Matthias Nickles, Bharathi Raja Chakravarthi:
Simple Question Answering Over a Domain-Specific Knowledge Graph using BERT by Transfer Learning. 289-300 - Yuvraj Sharma, Robert Ross:
Less is More when Applying Transfer Learning to Multi-Spectral Data. 301-312 - Alysha Higgins:
Intentional Forgetting: Investigating Interpretations and Future Potentials of Cognitive Control. 313-324 - Manhar Walia, Brendan Tierney, Susan McKeever:
Synthesising Tabular Data using Wasserstein Conditional GANs with Gradient Penalty (WCGAN-GP). 325-336 - Preeti Jagdish Sajjan, Frank G. Glavin:
A Multi-class Approach - Building a Visual Classifier based on Textual Descriptions using Zero-Shot Learning. 337-348
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