Laurence Shalloo

According to our database, Laurence Shalloo authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Hybrid Model that Combines Machine Learning and Mechanistic Models for Useful Grass Growth Prediction.

Eoin M. Kenny, Elodie Ruelle, Mark T. Keane, Laurence Shalloo

Comput. Electron. Agric., 2024

Farm electricity system simulator (FESS): A platform for simulating electricity utilisation on dairy farms.

Fergal Buckley, John Upton, Ryan Prendergast, Laurence Shalloo, Michael D. Murphy

Comput. Electron. Agric., 2024

2022

Predicting livestock behaviour using accelerometers: A systematic review of processing techniques for ruminant behaviour prediction from raw accelerometer data.

Lucile Riaboff, Laurence Shalloo, Alan F. Smeaton, Sébastien Couvreur, Aurélien Madouasse, Mark T. Keane

Comput. Electron. Agric., 2022

Forecasting for Sustainable Dairy Produce: Enhanced Long-Term, Milk-Supply Forecasting Using k-NN for Data Augmentation, with Prefactual Explanations for XAI.

Eoin Delaney, Derek Greene, Laurence Shalloo, Michael Lynch, Mark T. Keane

Proceedings of the Case-Based Reasoning Research and Development, 2022

Counterfactual Explanations for Prediction and Diagnosis in XAI.

Xinyue Dai, Mark T. Keane, Laurence Shalloo, Elodie Ruelle, Ruth M. J. Byrne

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

Identification of the Best Accelerometer Features and Time-Scale to Detect Disturbances in Calves.

Oshana Dissanayake, Sarah McPherson, Emer Kennedy, Katie Sugrue, Muireann Conneely, Laurence Shalloo, Pádraig Cunningham, Lucile Riaboff

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2022

2021

Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future.

Mohammed Temraz, Eoin M. Kenny, Elodie Ruelle, Laurence Shalloo, Barry Smyth, Mark T. Keane

Proceedings of the Case-Based Reasoning Research and Development, 2021

2020

Bayesian Case-Exclusion and Personalized Explanations for Sustainable Dairy Farming (Extended Abstract).

Eoin M. Kenny, Elodie Ruelle, Anne Geoghegan, Laurence Shalloo, Micheál O'Leary, Michael O'Donovan, Mohammed Temraz, Mark T. Keane

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Effect of parity weighting on milk production forecast models.

Fan Zhang, John Upton, Laurence Shalloo, Michael D. Murphy

Comput. Electron. Agric., 2019

Predicting Grass Growth for Sustainable Dairy Farming: A CBR System Using Bayesian Case-Exclusion and Post-Hoc, Personalized Explanation-by-Example (XAI).

Eoin M. Kenny, Elodie Ruelle, Anne Geoghegan, Laurence Shalloo, Micheál O'Leary, Michael O'Donovan, Mark T. Keane

Proceedings of the Case-Based Reasoning Research and Development, 2019

2017

Opportunistic Wireless Networking for Smart Dairy Farming.

Chamil Kulatunga, Laurence Shalloo, William Donnelly, Eric Robson, Stepan Ivanov

IT Prof., 2017

PastureBase Ireland: A grassland decision support system and national database.

Liam Hanrahan, Anne Geoghegan, Michael O'Donovan, Vincent Griffith, Elodie Ruelle, Michael Wallace, Laurence Shalloo

Comput. Electron. Agric., 2017

2016

An automatic model configuration and optimization system for milk production forecasting.

Fan Zhang, Michael D. Murphy, Laurence Shalloo, Elodie Ruelle, John Upton

Comput. Electron. Agric., 2016

Regression Techniques for Modelling Conception in Seasonally Calving Dairy Cows.

Caroline Fenlon, Luke O'Grady, Michael Doherty, Stephen Butler, Laurence Shalloo, John Dunnion

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

A Comparison of Machine Learning Techniques for Predicting Insemination Outcome in Irish Dairy Cows.

Caroline Fenlon, Luke O'Grady, John Dunnion, Laurence Shalloo, Stephen Butler, Michael Doherty

Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, 2016