ref [73] · 2608.21205 · notice #10788 · dispute
Raw extraction · citation context
activities of an employee of an organization," in2023 IEEE 25th Conf. Bus. Informat. (CBI), 2023.DOI: 10.1109/CBI58679.2023.10187419 [73] 'E. Charbonneau and C. Doberstein, "An empirical assessment of the intrusiveness and reasonableness of emerging work surveillance technologies in the public sector,"Public Administration Review, vol. 80, no. 5, pp. 780-791, 2020.DOI: 10.1111/puar.13278 [74] B. Bin Sarhan and N. Altwaijry, "Insider threat detection using machine learning approach,"Applied Sciences, vol. 13, no. 1, p. 259, 2023.DOI: 10.3390/app13010259 [75] P. G. Gopal, N. S. Subhash, and R. A. Anil, "Analysis of employee surveillance system using deep learning models," in2022 6th Int. Conf. Comput., Commun., Control Autom. (ICCUBEA), IEEE, 2022,
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activities of an employee of an organization," in2023 IEEE 25th Conf. Bus. Informat. (CBI), 2023.DOI: 10.1109/CBI58679.2023.10187419 [73] 'E. Charbonneau and C. Doberstein, "An empirical assessment of the intrusiveness and reasonableness of emerging work surveillance technologies in the public sector,"Public Administration Review, vol. 80, no. 5, pp. 780-791, 2020.DOI: 10.1111/puar.13278 [74] B. Bin Sarhan and N. Altwaijry, "Insider threat detection using machine learning approach,"Applied Sciences, vol. 13, no. 1, p. 259, 2023.DOI: 10.3390/app13010259 [75] P. G. Gopal, N. S. Subhash, and R. A. Anil, "Analysis of employee surveillance system using deep learning models," in2022 6th Int. Conf. Comput., Commun., Control Autom. (ICCUBEA), IEEE, 2022