Publications

Enrico Casella (2024). Forecasting Beef Cattle Growth using Computer Vision and Machine Learning. In SPSAS PLF School 2024.

Enrico Casella (2024). Evaluating a foundation model for animal body segmentation based on few-shot learning against a domain-specific deep neural network. In ASAS 2024.

Enrico Casella (2024). Phenotyping mammary gland of dairy cows through histological image analysis. In ADSA 2024.

Enrico Casella (2024). Exploring symbolic regression for body weight prediction in dairy calves. In ADSA 2024.

Enrico Casella (2024). A Human-Centered Power Conservation Framework based on Reverse Auction Theory and Machine Learning. In ACM Transactions on Cyber-Physical Systems, 2024.

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Enrico Casella (2024). RuralAI in Tomato Farming: Integrated Sensor System, Distributed Computing, and Hierarchical Federated Learning for Crop Health Monitoring. In EEE Sensors Letters, 2024.

Enrico Casella (2023). A machine learning and optimization framework for the early diagnosis of bovine respiratory disease. In IEEE Access 2023.

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Enrico Casella (2022). Dissecting the Problem of Individual Home Power Consumption Prediction using Machine Learning. In IEEE International Conference on Smart Computing (SMARTCOMP) 2022 - WiP.

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Enrico Casella (2022). Using machine learning and precision livestock farming technology for early indication of health status in preweaned dairy calves. In Proceedings of the European Conference on Precision Livestock Farming (ECPLF), 2022.

Enrico Casella (2022). Using machine learning and behavioral patterns observed by automated feeders and accelerometers for the early indication of clinical Bovine Respiratory Disease status in preweaned dairy calves. In Frontiers in Animal Science, 2022.

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Enrico Casella (2022). Cost-aware Inference of Bovine Respiratory Disease in Calves using Precision Livestock Technology. In Proceedings of the IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), 2022.

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Enrico Casella (2022). HVAC Power Conservation through Reverse Auctions and Machine Learning. In Proceedings of the International Conference on Pervasive Computing and Communications (PerCom), 2022 - 18/178 accepted papers.

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Enrico Casella (2020). Hierarchical syntactic models for human activity recognition through mobility traces. In Springer Personal and Ubiquitous Computing, Vol. 24 Issue 4, Pages 451-464, 2020.

Enrico Casella (2020). A framework for the recognition of horse gaits through wearable devices. In Elsevier Pervasive and Mobile Computing, Vol. 67, Pages 101213, 2020.

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Enrico Casella (2019). Smartwatch application for horse gaits activity recognition. In Proceedings of the IEEE International Conference on Smart Computing (SMARTCOMP), 2019.

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