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