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)

Personalized Weighted AdaBoost for Animal Behavior Recognition from Sensor Data. - Oshana Dissanayake; Sarah McPherson; Joseph Allyndree; Emer Kennedy; Pádraig Cunningham; Lucile Riaboff (AICS, 2023)

Evaluating ROCKET and Catch22 features for calf behaviour classification from accelerometer data using Machine Learning models. - Oshana Dissanayake; Sarah E. McPherson; Joseph Allyndree; Emer Kennedy; Padraig Cunningham; Lucile Riaboff (CoRR, 2024)

Development of a digital tool for monitoring the behaviour of pre-weaned calves using accelerometer neck-collars. - Oshana Dissanayake; Sarah McPherson; Joseph Allyndree; Emer Kennedy; Pádraig Cunningham; Lucile Riaboff (CoRR, 2024)

A Comparison of Deep Learning and Established Methods for Calf Behaviour Monitoring. - Oshana Dissanayake; Lucile Riaboff; Sarah E. McPherson; Emer Kennedy; Pádraig Cunningham (CoRR, 2024)

Accelerometer-Based Multivariate Time-Series Dataset for Calf Behavior Classification. - Oshana Dissanayake; Sarah E. McPherson; Joseph Allyndree; Emer Kennedy; Padraig Cunningham; Lucile Riaboff (CoRR, 2024)

Accelerometer-Based Multivariate Time-Series Dataset for Calf Behavior Classification. - Oshana Dissanayake; Sarah E. McPherson; Joseph Allyndree; Emer Kennedy; Padraig Cunningham; Lucile Riaboff (Zenodo, 2024)