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References Act on Health Care Services (Ustawa z dnia 27 sierpnia 2004 r. o ś wiadczeniach opieki zdrowotnej Dz. U. 2004, nr 210, poz. 2135). Aveyard H. (2010), Doing a literature review in health and social care: A practical guide (2 nd ed.). Berkshire, Great Britain: Open University Press. Ayoub P. M. (2016), When States Come Out: Europe's Sexual Minorities and the Politics of Visibility . Cambridge: Cambridge University Press. Council of Europe, Committee of Ministers (2010) Standards for legal gender recognition. Available at: https

F -score of 0.73, improving in 0.002 points the accuracy of previous classifiers ( Khazaei et al., 2016b ). This paper is organized as follows. In Section 2 , we present some of the related works that are the starting point of our research. In Section 3 , we describe our data sets, and process for labeling these data. In Section 4 , we explain our methodology for gender recognition. In Section 5 , we report our results related to gender and privacy concerns. We summarize our findings and conclude in Section 6 . Finally, Section 7 deals with future

Sunderland (Eds.). Amsterdam, Philadelphia: John Benjamins, pp. 1–39. Trans-Fuzja. 2014. Gender Recognition in Poland. A Report on Court and Administrative Procedures . Warsaw: Fundacja Trans-Fuzja. Weatherall, Ann and Gallois, Cindy. 2003. “Gender and Identity: Representation and Social Action” in The Handbook of Language and Gender . Janet Holmes and Miriam Meyerhoff (Eds.). Oxford: Blackwell Publishing, pp. 487–508.

References 1] M. Li, K. J. Han and S. Narayanan, ”Automatic Speaker Age and Gender Recognition Using Acoustic and Prosodic Level In formation Fusion”, Computer Speech and Language, vol. 27, 2013, 151-167. [2] T. Bocklet, A. Maier, J. G. Bauer, F. Burkhardt and E. N¨oth, ”Age and Gender Recognition for Telephone Applications Based on GMM Supervectors and Support Vector Machines”, IEEE International Conference on Acoustics, Speech, and Signal Pro- cessing, 31 March - 4 April 2008, 1605-1608, Las Vegas, NV: IEEE. [3] G. Dobry, R. M. Hecht, M. Avigal and Y. Zigel

communities. In his paper Media Accountability Meets Media Polarisation: A Case Study from Poland, he argued that weakness of media accountability might be seen as critical when explaining the low level of journalistic professionalization, leading to the undermining of standards, values and practices of professional media-making alongside polarisation of Polish society. Agnieszka Makarewicz-Marcinkiewicz took part in the panel titled Th e Challenges of LGBT Politics. In her presentation on Gender Recognition in Poland as a Process of Social Exclusion, Makarewicz

spatial factors in gait perception that influence gender recognition. Perception & Psychophysics 23, 2, 145–152. B azin , A. I. and N ixon , M. S. 2005. Gait verification using probabilistic methods. In Application of Computer Vision, 2005. WACV/MOTIONS ‘05 Volume 1. Seventh IEEE Workshops on . Vol. 1. 60–65. B org , I. and G roenen , P. 2013. Modern Multidimensional Scaling: Theory and Applications . Springer Series in Statistics. Springer New York. C hen , D., W actlar , H., y . C hen , M., G ao , C., B harucha , A., and H auptmann , A. 2008. Recognition of

., Wang Y., Gender recognition based on fusion on face and gait information, International Conference on Machine Learning and Cybernetics, IEEE, vol. 1, pp. 62-67, 2008 [22] Ahmed F., Paul P.P., Gavrilova M., DTW based Kernel and Rank Level Fusion for 3D Gait Recognition using Kinect, The Visual Computer, vol. 31, no 6, pp. 915-924, 2015 [23] Vondrick C. et. al. HOGgles: Visualizing Object Detection Features, International Journal on Computer Vision, pp. 1-9, 2013 [24] Last accessed: September 20, 2017 [25

References Atkinson, A. P. (2009). Impaired recognition of emotions from body movements is associated with elevated motion coherence thresholds in autism spectrum disorders. Neuropsychologia, 47, 3023-3029. Barclay, C. D., Cutting, J. E., Kozlowski, L. T. (1978). Temporal and spatial factors in gait perception that influence gender recognition. Percept. Psychophys., 23 (2), 145-152. Barrett, H. C., Todd, O. M., Miller, G. F., Blythe, P. W. (2005). Accurate judgments of intention from motion cues alone: A cross-cultural study. Evol. Hum. Behav., 26 (4), 313

images applied to gender recognition using RGB-D face data, Proceedings of the Asian Conference on Computer Vision, Tokyo, Japan , pp. 133–145. Janoch, A., Karayev, S., Jia, Y., Barron, J.T., Fritz, M., Saenko, K. and Darrell, T. (2013). A category-level 3d object dataset: Putting the kinect to work, in A. Fossati et al. (Eds), Consumer Depth Cameras for Computer Vision , Springer, London, pp. 141–165. Jiang, J. and Zhai, C.X. (2007). Instance weighting for domain adaptation in NLP, Meeting of the Association of Computational Linguistics, Prague, Czech Republic

, Sheng H. 2005. The effects of tones on speaking frequency and intensity ranges in Mandarin and Min dialects. The Journal of the Acoustical Society of America 117(5). 3225–3230. DOI: 10.1121/1.1872312 Childers, Donald G. & Ke Wu. 1991. Gender recognition from speech. Part II: Fine analysis. The Journal of the Acoustical society of America 90(4). 1841–1856. DOI: 10.1121/1.401664 Coleman, Robert F., Janet Henn Mabis & Joanne Kidd Hinson. 1977. Fundamental frequencysound pressure level profiles of adult male and female voices. Journal of Speech, Language, and Hearing