Publications
ML-Labs
An updated list of all published papers is available from ML-Labs Google Scholar page
Assessing the Quality of Gridded Population Data for Quantifying the Population Living in Deprived Communities
Agatha Mattos, Gavin McArdle, Michela Bertolotto
Refereed Conference:
34th NeurIPS (Neural Information Processing Systems) Machine Learning for the Developing World workshop
A Feature Selection Method for Multi-Dimension Time-Series Data
Bahavathy Kathirgamanathan, Pádraig Cunningham
Refereed Conference
5th Workshop on Advanced Analytics and Learning on Temporal Data. at ECML/PKDD (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases).
Improving Document-Level Sentiment Analysis with User and Product Context
Chenyang Lyu, Jennifer Foster, Yvette Graham
Refereed Conference
COLING 2020
Providing Explainable Race-Time Predictions and Training Plan Recommendations to Marathon Runners
Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth
Refereed Conference
14th ACM Conference on Recommender Systems – RecSys 2020
Using Case-Based Reasoning to Predict Marathon Performance and Recommend Tailored Training Plans
Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth
Refereed Conference
28th International Conference on Case-Based Reasoning (ICCBR20)
Play MNIST For Me! User Studies on the Effects of Post-Hoc, Example-Based Explanations & Error Rates on Debugging a Deep Learning, Black-Box Classifier
Courtney Ford, Eoin Kenny, Mark Keane
Refereed Conference
IJCAI-20 Workshop on Explainable AI (XAI)
Creating and Characterising Electricity Load Profiles of Residential Buildings
James Fitzpatrick, Paula Carroll, Deepak Ajwani
Refereed Conference
5th Workshop on Advanced Analytics and Learning on Temporal Data. at ECML/PKDD
Assessing the Appetite for Trustworthiness and the Regulation of Artificial Intelligence in Europe
Labhaoise Ni Fhaolain, Andrew Hines, Vivek Nallur
Refereed Conference
Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2020)
Contrastive Representation Learning: A Framework and Review
Phuc H. Le-Khac, Graham Healy, Alan Smeaton
Journal
IEEE Access, Vol 8, Pages 193907 – 193934
Finding Short Lived Events on Social Media
David Kilroy, Simon Caton and Graham Healy
Refereed Conference
AICS 2020
3DSAL: An Efficient 3D-CNN Architecture for Video Saliency Prediction
Yasser Djilali,Mohamed Sayah, Kevin McGuinness, Noel O’Connor
Refereed Conference
15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP2020)
ATSal: An Attention Based Architecture for Saliency Prediction in 360 Videos
Yasser Dahou, Marouane Tliba, Kevin McGuinness, Noel O’Connor
Refereed Conference
25th International Conference on Pattern Recognition
A Model-Agnostic Approach to Quantifying the Informativeness of Explanation Methods for Time Series Classification
Thu Trang Nguyen, Thach Le Nguyen and Georgiana Ifrim
Refereed Conference
5th Workshop on Advanced Analytics and Learning on Temporal Data at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD)
The ADAPT Centre’s Neural MT Systems for the WAT 2020 Document-Level Translation Task
Wandri Jooste, Rejwanul Haque and Andy Way
Refereed Conference
7th Workshop on Asian Translation WAT 2020 Hosted by the AACL-IJCNLP 2020