References
[1]. Barnova, K., Mikolasova, M., Kahankova, R. V., Jaros, R., Kawala-Sterniuk, A., Snasel, V., Mirjalili, S., Pelc, M., & Martinek, R. (2023). Implementation of artificial intelligence and machine learning-based methods in brain-computer interaction. Computers in biology and medicine, 163, 107135. Advance online publication.
[2]. Deng, C., Ji, X., Rainey, C., Zhang, J., & Lu, W. (2020). Integrating Machine Learning with Human Knowledge. iScience, 23(11), 101656.
[3]. Jiang, T., Gradus, J. L., & Rosellini, A. J. (2020). Supervised Machine Learning: A Brief Primer. Behavior therapy, 51(5), 675–687.
[4]. Eckhardt, C. M., Madjarova, S. J., Williams, R. J., Ollivier, M., Karlsson, J., Pareek, A., & Nwachukwu, B. U. (2023). Unsupervised machine learning methods and emerging applications in healthcare. Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 31(2), 376–381.
[5]. Kunneman, F., Lambooij, M., Wong, A., Bosch, A. V. D., & Mollema, L. (2020). Monitoring stance towards vaccination in twitter messages. BMC medical informatics and decision making, 20(1), 33.
[6]. Deng, C., Ji, X., Rainey, C., Zhang, J., & Lu, W. (2020). Integrating Machine Learning with Human Knowledge. iScience, 23(11), 101656.
[7]. Peng X, Yang J, Hu Y, Li J, & Jia Z. (2008). An early warning method of flavistratus jumping armor based on semi-supervised learning. Agricultural Mechanization Research (3), 4.
[8]. Liang J, Gao J, & Chang Y. (2009). Progress in semi-supervised learning. Journal of Shanxi University: Natural Science Edition, 32(4), 7.
[9]. Matsuo, Y., LeCun, Y., Sahani, M., Precup, D., Silver, D., Sugiyama, M., Uchibe, E., & Morimoto, J. (2022). Deep learning, reinforcement learning, and world models. Neural networks : the official journal of the International Neural Network Society, 152, 267–275.
[10]. Maadi, M., Akbarzadeh Khorshidi, H., & Aickelin, U. (2021). A Review on Human-AI Interaction in Machine Learning and Insights for Medical Applications. International journal of environmental research and public health, 18(4), 2121.
[11]. Ni Mhurchu, C., Eyles, H., Jiang, Y., & Blakely, T. (2018). Do nutrition labels influence healthier food choices? Analysis of label viewing behaviour and subsequent food purchases in a labelling intervention trial. Appetite, 121, 360–365.
[12]. Çelikok, M. M., Murena, P. A., & Kaski, S. (2023). Modeling needs user modeling. Frontiers in artificial intelligence, 6, 1097891.
[13]. Peng Y. (2006). A novel ensemble machine learning for robust microarray data classification. Computers in biology and medicine, 36(6), 553–573.
[14]. King, A. J., Cooper, G. F., Clermont, G., Hochheiser, H., Hauskrecht, M., Sittig, D. F., & Visweswaran, S. (2019). Using machine learning to selectively highlight patient information. Journal of biomedical informatics, 100, 103327.
[15]. Martin, R. K., Ley, C., Pareek, A., Groll, A., Tischer, T., & Seil, R. (2022). Artificial intelligence and machine learning: an introduction for orthopaedic surgeons. Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 30(2), 361–364.
Cite this article
Cai,Y.;Lu,Y. (2024). Current study on human-computer interaction in machine learning. Applied and Computational Engineering,36,77-83.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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References
[1]. Barnova, K., Mikolasova, M., Kahankova, R. V., Jaros, R., Kawala-Sterniuk, A., Snasel, V., Mirjalili, S., Pelc, M., & Martinek, R. (2023). Implementation of artificial intelligence and machine learning-based methods in brain-computer interaction. Computers in biology and medicine, 163, 107135. Advance online publication.
[2]. Deng, C., Ji, X., Rainey, C., Zhang, J., & Lu, W. (2020). Integrating Machine Learning with Human Knowledge. iScience, 23(11), 101656.
[3]. Jiang, T., Gradus, J. L., & Rosellini, A. J. (2020). Supervised Machine Learning: A Brief Primer. Behavior therapy, 51(5), 675–687.
[4]. Eckhardt, C. M., Madjarova, S. J., Williams, R. J., Ollivier, M., Karlsson, J., Pareek, A., & Nwachukwu, B. U. (2023). Unsupervised machine learning methods and emerging applications in healthcare. Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 31(2), 376–381.
[5]. Kunneman, F., Lambooij, M., Wong, A., Bosch, A. V. D., & Mollema, L. (2020). Monitoring stance towards vaccination in twitter messages. BMC medical informatics and decision making, 20(1), 33.
[6]. Deng, C., Ji, X., Rainey, C., Zhang, J., & Lu, W. (2020). Integrating Machine Learning with Human Knowledge. iScience, 23(11), 101656.
[7]. Peng X, Yang J, Hu Y, Li J, & Jia Z. (2008). An early warning method of flavistratus jumping armor based on semi-supervised learning. Agricultural Mechanization Research (3), 4.
[8]. Liang J, Gao J, & Chang Y. (2009). Progress in semi-supervised learning. Journal of Shanxi University: Natural Science Edition, 32(4), 7.
[9]. Matsuo, Y., LeCun, Y., Sahani, M., Precup, D., Silver, D., Sugiyama, M., Uchibe, E., & Morimoto, J. (2022). Deep learning, reinforcement learning, and world models. Neural networks : the official journal of the International Neural Network Society, 152, 267–275.
[10]. Maadi, M., Akbarzadeh Khorshidi, H., & Aickelin, U. (2021). A Review on Human-AI Interaction in Machine Learning and Insights for Medical Applications. International journal of environmental research and public health, 18(4), 2121.
[11]. Ni Mhurchu, C., Eyles, H., Jiang, Y., & Blakely, T. (2018). Do nutrition labels influence healthier food choices? Analysis of label viewing behaviour and subsequent food purchases in a labelling intervention trial. Appetite, 121, 360–365.
[12]. Çelikok, M. M., Murena, P. A., & Kaski, S. (2023). Modeling needs user modeling. Frontiers in artificial intelligence, 6, 1097891.
[13]. Peng Y. (2006). A novel ensemble machine learning for robust microarray data classification. Computers in biology and medicine, 36(6), 553–573.
[14]. King, A. J., Cooper, G. F., Clermont, G., Hochheiser, H., Hauskrecht, M., Sittig, D. F., & Visweswaran, S. (2019). Using machine learning to selectively highlight patient information. Journal of biomedical informatics, 100, 103327.
[15]. Martin, R. K., Ley, C., Pareek, A., Groll, A., Tischer, T., & Seil, R. (2022). Artificial intelligence and machine learning: an introduction for orthopaedic surgeons. Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 30(2), 361–364.