Laurence Shalloo

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 16

Top Topics

Aggregating Algorithm

Decision Support

Knowledge Elicitation

Top Venues

Comput. Electron. Agric.

Publications

Fergal Buckley, John Upton, Ryan Prendergast, Laurence Shalloo, Michael D. Murphy
Farm electricity system simulator (FESS): A platform for simulating electricity utilisation on dairy farms. Comput. Electron. Agric. 221 (2024)
Eoin M. Kenny, Elodie Ruelle, Mark T. Keane, Laurence Shalloo
A Hybrid Model that Combines Machine Learning and Mechanistic Models for Useful Grass Growth Prediction. Comput. Electron. Agric. 219 (2024)
Xinyue Dai, Mark T. Keane, Laurence Shalloo, Elodie Ruelle, Ruth M. J. Byrne
Counterfactual Explanations for Prediction and Diagnosis in XAI. AIES (2022)
Oshana Dissanayake, Sarah McPherson, Emer Kennedy, Katie Sugrue, Muireann Conneely, Laurence Shalloo, Pádraig Cunningham, Lucile Riaboff
Identification of the Best Accelerometer Features and Time-Scale to Detect Disturbances in Calves. AALTD@ECML/PKDD (2022)
Eoin Delaney, Derek Greene, Laurence Shalloo, Michael Lynch, Mark T. Keane
Forecasting for Sustainable Dairy Produce: Enhanced Long-Term, Milk-Supply Forecasting Using k-NN for Data Augmentation, with Prefactual Explanations for XAI. ICCBR (2022)
Lucile Riaboff, Laurence Shalloo, Alan F. Smeaton, Sébastien Couvreur, Aurélien Madouasse, Mark T. Keane
Predicting livestock behaviour using accelerometers: A systematic review of processing techniques for ruminant behaviour prediction from raw accelerometer data. Comput. Electron. Agric. 192 (2022)
Mohammed Temraz, Eoin M. Kenny, Elodie Ruelle, Laurence Shalloo, Barry Smyth, Mark T. Keane
Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future. ICCBR (2021)
Mohammed Temraz, Eoin M. Kenny, Elodie Ruelle, Laurence Shalloo, Barry Smyth, Mark T. Keane
Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future. CoRR (2021)
Eoin M. Kenny, Elodie Ruelle, Anne Geoghegan, Laurence Shalloo, Micheál O'Leary, Michael O'Donovan, Mohammed Temraz, Mark T. Keane
Bayesian Case-Exclusion and Personalized Explanations for Sustainable Dairy Farming (Extended Abstract). IJCAI (2020)
Eoin M. Kenny, Elodie Ruelle, Anne Geoghegan, Laurence Shalloo, Micheál O'Leary, Michael O'Donovan, Mark T. Keane
Predicting Grass Growth for Sustainable Dairy Farming: A CBR System Using Bayesian Case-Exclusion and Post-Hoc, Personalized Explanation-by-Example (XAI). ICCBR (2019)
Fan Zhang, John Upton, Laurence Shalloo, Michael D. Murphy
Effect of parity weighting on milk production forecast models. Comput. Electron. Agric. 157 (2019)
Chamil Kulatunga, Laurence Shalloo, William Donnelly, Eric Robson, Stepan Ivanov
Opportunistic Wireless Networking for Smart Dairy Farming. IT Prof. 19 (2) (2017)
Liam Hanrahan, Anne Geoghegan, Michael O'Donovan, Vincent Griffith, Elodie Ruelle, Michael Wallace, Laurence Shalloo
PastureBase Ireland: A grassland decision support system and national database. Comput. Electron. Agric. 136 (2017)
Fan Zhang, Michael D. Murphy, Laurence Shalloo, Elodie Ruelle, John Upton
An automatic model configuration and optimization system for milk production forecasting. Comput. Electron. Agric. 128 (2016)
Caroline Fenlon, Luke O'Grady, John Dunnion, Laurence Shalloo, Stephen Butler, Michael Doherty
A Comparison of Machine Learning Techniques for Predicting Insemination Outcome in Irish Dairy Cows. AICS (2016)
Caroline Fenlon, Luke O'Grady, Michael Doherty, Stephen Butler, Laurence Shalloo, John Dunnion
Regression Techniques for Modelling Conception in Seasonally Calving Dairy Cows. ICDM Workshops (2016)