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 (AICS, 2016)

Regression Techniques for Modelling Conception in Seasonally Calving Dairy Cows. - Caroline Fenlon; Luke O'Grady; Michael Doherty; Stephen Butler; Laurence Shalloo; John Dunnion (ICDM Workshops, 2016)

An automatic model configuration and optimization system for milk production forecasting. - Fan Zhang 039; Michael D. Murphy; Laurence Shalloo; Elodie Ruelle; John Upton (Comput. Electron. Agric., 2016)

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)

Opportunistic Wireless Networking for Smart Dairy Farming. - Chamil Kulatunga; Laurence Shalloo; William Donnelly; Eric Robson; Stepan Ivanov (IT Prof., 2017)

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 (ICCBR, 2019)

Effect of parity weighting on milk production forecast models. - Fan Zhang 039; John Upton; Laurence Shalloo; Michael D. Murphy (Comput. Electron. Agric., 2019)

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 (IJCAI, 2020)

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 (ICCBR, 2021)

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 (AALTD@ECML/PKDD, 2022)

Counterfactual Explanations for Prediction and Diagnosis in XAI. - Xinyue Dai; Mark T. Keane; Laurence Shalloo; Elodie Ruelle; Ruth M. J. Byrne (AIES, 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 (ICCBR, 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)

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)

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)