1 |
Ahuja, A., Lu, J., and Potanin, A., Rheological Predictions of Sensory Attributes of Lotions, Journal of Texture Studies, 2019, Vol. 50, No. 4, pp. 295-305.
DOI
|
2 |
Alisa, E., Jasmina, H., Ognjenka, R., and Edina, V., Measuring the Feeling: Correlations of Sensorial to Instrumental Analyses of Cosmetic Products, 2017, Proceedings of the International Conference on Medical and Biological Engineering, 2017, pp. 425-428.
|
3 |
Baki, G., Szoboszlai, M., Liberatore, M.W., and Chandler, M., Application of Check-all-that-apply (CATA) Questions for Sensory Characterization of Cosmetic Emulsions by Untrained Consumers, Journal of Cosmetic Science, 2018, Vol. 69, No. 2, pp. 83-100.
|
4 |
Calixto, L.S., Infante, V.H.P., and Campos, P.M.B.G.M., Design and Characterization of Topical Formulations: Correlations between Instrumental and Sensorial Measurements, AAPS PharmSciTech, 2018, Vol. 19, pp. 1512-1519.
DOI
|
5 |
Fawaz, H.I., Forestier, G., Weber, J., Idoumghar, L., and Muller, P.-A., Deep Learning for Time Series Classification: a Review, Data Mining and Knowledge Discovery, 2019, Vol. 33, pp. 917-963.
DOI
|
6 |
Geng, Y. and Luo, X. Cost-Sensitive Convolution based Neural Networks for Imbalanced Time-Series Classification. ArXiv 1801.04396, 2018.
|
7 |
Huynh, A., Garcia A.G., Young, L. K., Szoboszlai, M., Liberatore, M. W., and Baki, G., Measurements meet Perceptions: Rheology-Texture-Sensory Relations when using Green, Bio-derived Emollients in Cosmetic Emulsions, International Journal of Cosmetic Science, 2021, Vol. 43, pp. 11-19.
DOI
|
8 |
Ryoo, J.-Y., Bae, J.-E., and Kang, N.-G., Optimization of In Vivo Stickiness Evaluation for Cosmetic Creams Using Texture Analyzer, Journal of the Society of Cosmetic Scientists of Korea, 2020, Vol. 46, No. 4, pp. 371-382.
DOI
|
9 |
Kwon, Y.-H., Kwon, H.-J., Rang, M.-J., and Lee, S.-M., A Study on Correlation between Frictional Coefficients and Subjective Evaluation while Rubbing Cosmetic Product on Skin, Science of Emotion and Sensibility, 2005, Vol. 8, No. 4, pp. 385-391.
|
10 |
He, K., Zhang, X., Ren, S., and Sun, J., Deep Residual Learning for Image Recognition, IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 770-778.
|
11 |
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., Berg, A.C., and Li, F.-F., ImageNet Large Scale Visual Recognition Challenge, International Journal of Computer Vision, 2015, Vol. 115, pp. 211-252.
DOI
|
12 |
Mittelman, R., Time-Series Modeling with Undecimated Fully Convolutional Neural Networks. ArXiv 1508.00317, 2015.
|
13 |
Nakano, K., Horiuchi, K., Soneda, T., Kashimoto, A., Tsuchiya, R., Yokoyama, M., A Neural Network Approach to Predict Tactile Comfort of Applying Cosmetic Foundation, Tribology International, 2010, Vol. 43, No. 11, pp. 1978-1990.
DOI
|
14 |
Nakano, K., Kobayashi, K., Nakao, K., Tsuchiya, R., Nagai, Y., Tribological Method to Objectify Similarity of Vague Tactile Sensations Experienced during Application of Liquid Cosmetic Foundations, Tribology International, 2013, Vol. 63, pp. 8-13.
DOI
|
15 |
Shin, Y.S. and Baek, D.H., A Methodology for Customer Core Requirement Analysis by Using Text Mining : Focused on Chinese Online Cosmetics Market, Journal of Society of Korea Industrial and Systems Engineering, 2021, Vol. 44, No. 2, pp. 66-77.
DOI
|
16 |
Vergilio, M. M., de Freitas, A. C. P., da Rocha-Filho, P. A., Comparative Sensory and Instrumental Analyses and Principal Components of Commercial Sunscreens, Journal of Cosmetic Dermatology, 2021, Early View (Online Version of Record before inclusion in an issue) as of 2021/09/17.
|
17 |
Zhao, B., Lu, H., Chen, S., Liu, J., and Wu, D., Convolutional Neural Networks for Time Series Classification, Journal of Systems Engineering and Electronics, 2017, Vol. 28, No. 1, pp. 162-169.
DOI
|
18 |
Adejokun, D.A. and Dodou, K., Quantitative Sensory Interpretation of Rheological Parameters of a Cream Formulation, Cosmetics, 2020,Vol. 7, No. 1, https://doi.org/10.3390/cosmetics7010002.
DOI
|
19 |
Cui, Z., Chen, W., and Chen, Y., Multi-Scale Convolutional Neural Networks for Time Series Classification, ArXiv 1603.06995, 2016.
|
20 |
Guest, S., McGlone, F., Hopkinson, A, Schendel, Z. A., Blot, K., and Essick, G., Perceptual and SensoryFunctional Consequences of Skin Care Products, Journal of Cosmetics, Dermatological Sciences and Applications, 2013, Vol. 3, No. 1, pp. 66-78.
DOI
|
21 |
Bae, J.-E., Ryoo, J.-Y., and Kang, N.-G., Effects of Linear and Nonlinear Shear Deformation on Measurement for Stickiness of Cosmetics Using Rotational Rheometer, Korea Journal of Cosmetic Science, 2020, Vol. 2, No. 1, pp. 33-46.
DOI
|
22 |
Lee, J.H. and Kim, J.J., A Study on the Influence of Package Design of Female Cosmetics on Purchasing Preference, Journal of the Society of Korea Industrial and Systems Engineering, 2004, Vol. 27, No. 3, pp. 52-58.
|
23 |
Moravkova, T. and Filip, P., Relation between Sensory Analysis and Rheology of Body Lotions, International Journal of Cosmetic Science, 2016, Vol. 38, No. 3, pp. 558-566.
DOI
|
24 |
Pense-Lheritier, A.-M., Recent Developments in the Sensorial Assessment of Cosmetic Products: a Review, International Journal of Cosmetic Science, 2015, Vol. 37, No. 5, pp. 465-473.
DOI
|
25 |
Savary, G., Gilbert, L., Grisel, M., and Picard C., Instrumental and Sensory Methodologies to Characterize the Residual Film of Topical Products Applied to Skin, Skin Research and Technology, 2019, Vol. 25, No. 4, pp. 415-423.
DOI
|
26 |
Wang, Z., Yan, W., and Oates, T., Time Series Classification from Scratch with Deep Neural Networks : A Strong Baseline, ArXiv: 1611.06455, 2016.
|
27 |
https://www.loreal-finance.com/en/annual-report-2018/cosmetics-market-2-1/ (2021.7.1 access).
|