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Cited by in F6Publishing
For: Carslake C, Vázquez-Diosdado JA, Kaler J. Machine Learning Algorithms to Classify and Quantify Multiple Behaviours in Dairy Calves Using a Sensor: Moving beyond Classification in Precision Livestock. Sensors (Basel) 2020;21:E88. [PMID: 33375636 DOI: 10.3390/s21010088] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Buczinski S, Boccardo A, Pravettoni D. Clinical Scores in Veterinary Medicine: What Are the Pitfalls of Score Construction, Reliability, and Validation? A General Methodological Approach Applied in Cattle. Animals (Basel) 2021;11:3244. [PMID: 34827976 DOI: 10.3390/ani11113244] [Reference Citation Analysis]
2 Sun D, Webb L, van der Tol PPJ, van Reenen K. A Systematic Review of Automatic Health Monitoring in Calves: Glimpsing the Future From Current Practice. Front Vet Sci 2021;8:761468. [PMID: 34901250 DOI: 10.3389/fvets.2021.761468] [Reference Citation Analysis]
3 Gollapalli M. Ensemble Machine Learning Model to Predict the Waterborne Syndrome. Algorithms 2022;15:93. [DOI: 10.3390/a15030093] [Reference Citation Analysis]
4 Simanungkalit G, Barwick J, Cowley F, Dobos R, Hegarty R. A Pilot Study Using Accelerometers to Characterise the Licking Behaviour of Penned Cattle at a Mineral Block Supplement. Animals (Basel) 2021;11:1153. [PMID: 33920600 DOI: 10.3390/ani11041153] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Carslake C, Occhiuto F, Vázquez-diosdado JA, Kaler J. Repeatability and Predictability of Calf Feeding Behaviors—Quantifying Between- and Within-Individual Variation for Precision Livestock Farming. Front Vet Sci 2022;9:827124. [DOI: 10.3389/fvets.2022.827124] [Reference Citation Analysis]