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Using Machine Learning in Veterinary Medical Education: An Introduction for Veterinary Medicine Educators.
Hooper, S.E., Hecker, K.G., & Artemiou, E. (2023). Using Machine Learning in Veterinary Medical Education: An Introduction for Veterinary...
Sep 20, 2024
Machine learning approaches to predict and detect early-onset of digital dermatitis in dairy cows using sensor data.
Magana J, Gavojdian D, Menahem Y, Lazebnik T, Zamansky A, Adams-Progar A. Machine learning approaches to predict and detect early-onset...
Sep 20, 2024
Using machine learning to understand neuromorphological change and image-based biomarker identification in Cavalier King Charles Spaniels with Chiari-like malformation-associated pain and syringomyeli
Spiteri M, Knowler SP, Rusbridge C, Wells K. Using machine learning to understand neuromorphological change and image-based biomarker...
Sep 20, 2024
Application of machine learning to improve dairy farm management: A systematic literature review.
Slob N, Catal C, Kassahun A. Application of machine learning to improve dairy farm management: A systematic literature review. Prev Vet...
Sep 20, 2024
Predicting early risk of chronic kidney disease in cats using routine clinical laboratory tests and machine learning.
Bradley, R., Tagkopoulos, I., Kim, M., Kokkinos, Y., Panagiotakos, T., Kennedy, J., De Meyer, G., Watson, P., & Elliott, J. (2019)....
Sep 20, 2024
Artificial Intelligence in Veterinary Imaging: An Overview
Pereira, A.I., Franco-Gonçalo, P., Leite, P., Ribeiro, A., Alves-Pimenta, M.S., Colaço, B., Loureiro, C., Gonçalves, L., Filipe, V., &...
Sep 20, 2024
Agency and extraction in emerging industrial drone applications: Imaginaries of Rwandan farm workers and community members
Hanrahan, B. V., Maitland, C., Brown, T., Chen, A., Kagame, F., & Birir, B. (2021). Agency and extraction in emerging industrial drone...
Sep 20, 2024
Understanding the behavior transparency of voice assistant applications using the ChatterBox framework.
Natatsuka, A., Iijima, R., Watanabe, T., Akiyama, M., Sakai, T., & Mori, T. (2022). Understanding the behavior transparency of voice...
Sep 20, 2024
Ignorance is bliss? The effect of explanations on perceptions of voice assistants.
Seymour, W., & Such, J. (2023). Ignorance is bliss? The effect of explanations on perceptions of voice assistants. Proceedings of the ACM...
Sep 20, 2024
Trustworthy AI and the logics of intersectional resistance.
Knowles, B., Fledderjohann, J., Richards, J. T., & Varshney, K. R. (2023). Trustworthy AI and the logics of intersectional resistance....
Sep 20, 2024
Managing bias in AI.
Roselli, D., Matthews, J., & Talagala, N. (2019). Managing bias in AI. WWW '19: Companion Proceedings of The 2019 World Wide Web...
Sep 20, 2024
An empirical study of older adult’s voice assistant use for health information seeking.
Brewer, R., Pierce, C., Upadhyay, P., & Park, L. (2022). An empirical study of older adult’s voice assistant use for health information...
Sep 20, 2024
Beyond transparency: a proposed framework for accountability in decision-making AI systems.
Berscheid J, Roewer-Despres F. Beyond transparency: a proposed framework for accountability in decision-making AI systems. AI Matters ....
Sep 20, 2024
Explaining in Time: Meeting Interactive Standards of Explanation for Robotic Systems.
Arnold T, Kasenberg D, Scheutz M. Explaining in Time: Meeting Interactive Standards of Explanation for Robotic Systems. ACM Transactions...
Sep 20, 2024
Envisioning Communities: A Participatory Approach Towards AI for Social Good.
Bondi E, Xu L, Acosta-Navas D, Killian JA. Envisioning Communities: A Participatory Approach Towards AI for Social Good. AIES '21:...
Sep 20, 2024
A Systematic Review of Ethical Concerns with Voice Assistants.
Seymour W, Zhan X, Coté M, Such J. A Systematic Review of Ethical Concerns with Voice Assistants. AIES '23: Proceedings of the 2023...
Sep 20, 2024
From Preference Elicitation to Participatory ML: A Critical Survey & Guidelines for Future Research.
Feffer M, Skirpan M, Lipton Z, Heidari H. From Preference Elicitation to Participatory ML: A Critical Survey & Guidelines for Future...
Sep 20, 2024
Reliable and Safe Use of Machine Translation in Medical Settings.
Mehandru N, Robertson S, Salehi N. Reliable and Safe Use of Machine Translation in Medical Settings. FAccT '22: Proceedings of the 2022...
Sep 20, 2024
Advancing Patient-Centered Shared Decision-Making with AI Systems for Older Adult Cancer Patients.
Hao Y, Liu Z, Riter RN, Kalantari S. Advancing Patient-Centered Shared Decision-Making with AI Systems for Older Adult Cancer Patients....
Sep 20, 2024
Responsible Adoption of Generative AI in Higher Education: Developing a “Points to Consider” Approach Based on Faculty Perspectives.
Dotan R, Parker LS, Radzilowicz J. Responsible Adoption of Generative AI in Higher Education: Developing a “Points to Consider” Approach...
Sep 20, 2024
Digital Twin as an Aid for Decision-Making in the Face of Uncertainty.
Kulkarni V, Barat S, Clark T, Barn BS. Digital Twin as an Aid for Decision-Making in the Face of Uncertainty. WSC '22: Proceedings of the...
Sep 20, 2024
The Fallacy of AI Functionality.
Raji ID, Kumar IE, Horowitz A, Selbst A. The Fallacy of AI Functionality. FAccT '22: Proceedings of the 2022 ACM Conference on Fairness,...
Sep 20, 2024
Rethinking open source generative AI: open-washing and the EU AI Act.
Liesenfeld A, Dingemanse M. Rethinking open source generative AI: open-washing and the EU AI Act. FAccT '24: Proceedings of the 2024 ACM...
Sep 20, 2024
Queer In AI: A Case Study in Community-Led Participatory AI.
Organizers Of Queerinai, Ovalle A, Subramonian A, Singh A, Voelcker C, Sutherland DJ, et al. Queer In AI: A Case Study in Community-Led...
Sep 20, 2024
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