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[1] J. H. Wilson, P. R. Daugherty and N. Morini-Bianzino, “The Jobs That Artificial Intelligence Will Create,” MIT Sloan Management Review, 2017.
[2] M. A. Hanif, F. Khalid, R. Putra, M. T. Teimoori, F. Kriebel, J. Zhang, S. Rehman, T. Theocharides, A. Artusi, S. Garg and M. Shafique, “Robust Computing for Machine Learning-Based Systems,” in Dependable Embedded Systems, Springer International Publishing, 2021, pp. 479-503.
[3] J. J. Zhang, K. Liu, F. Khalid, M. A. Hanif, S. Rehman, T. Theocharides, A. Artusi, M. Shafique and S. Garg, “Building Robust Machine Learning Systems: Current Progress, Research Challenges, and Opportunities,” in Proceedings of the 56th Annual Design Automation Conference, Las Vegas, NV, USA, 2019.
[4] D. Beniaguev, I. Segev and M. London, “Single cortical neurons as deep artificial neural networks,” Neuron, vol. 109, no. 17, 2021.
[5] P. Lewis, P. Stenetorp and S. Riedel, “Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets,” in Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics, 2021.
[6] A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. Gomez, L. Kaiser and I. Polosukhin, “Attention is all you need,” in Proceedings of the 31st International Conference on Neural Information Processing Systems, Long Beach, California, USA, 2017.
[7] I. Jang, P. Kudumakis, M. Sandler and K. Kang, “The MPEG Interactive Music Application Format Standard [Standards in a Nutshell],” IEEE Signal Processing Magazine, vol. 28, no. 1, pp. 150-154, 2011.

[8]

ISO/IEC, “23008-3:2015, Information Technology – High Efficiency Coding and Media Delivery in Heterogeneous Environments – Part 3: 3D Audio,” 2015.
[9] M. Bosi, K. Brandenburg, S. Quackenbush, L. Fielder, K. Akagiri, H. Fuchs and M. Dietz, “ISO/IEC MPEG-2 Advanced Audio Coding,” Journal of the Audio Engineering Society, pp. 789-814, 1997.
[10] M. Noisternig, T. Musil, A. Sontacchi and R. Holdrich, “3D binaural sound reproduction using a virtual ambisonic approach,” in IEEE International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems, VECIMS ’03, 2003.
[11] T. Chen, H. Liu, Q. Shen, T. Yue, X. Cao and Z. Ma, “DeepCoder: A deep neural network based video compression,” in IEEE Visual Communications and Image Processing (VCIP ’17), 2017.
[12] W. H. Beaver, “Financial Ratios As Predictors of Failure,” Journal of Accounting Research, vol. 4, pp. 71–111, 1966.
[13] E. I. Altman, “Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy,” The Journal of Finance, vol. 23, no. 4, pp. 589–609, 1968.
[14] J. A. Ohlson, “Financial Ratios and the Probabilistic Prediction of Bankruptcy,” Journal of Accounting Research, vol. 18, no. 1, pp. 109–131, 1980.
[15] M. E. Zmijewski, “Methodological Issues Related to the Estimation of Financial Distress Prediction Models,” Journal of Accounting Research, vol. 22, pp. 59-82, 1984.
[16] E. I. Altman, M. Iwanicz-Drozdowska, E. Laitinen and A. Suvas, “Financial and Nonfinancial Variables As Long-Horizon Predictors of Bankruptcy,” Journal of Credit Risk, vol. 12, no. 4, 2016.
[17] E. I. Altman, “Predicting financial distress of companies: revisiting the Z-Score and ZETA® models,” in Handbook of Research Methods and Applications in Empirical Finance, ElgarOnline, 2013, pp. 428–456.
[18] S. A. Hillegeist, E. K. Keating, D. P. Cram and K. G. Lundstedt, “Assessing the Probability of Bankruptcy,” Review of Accounting Studies, vol. 9, pp. 5-34, 2004.
[19] A. Upneja and M. C. Dalbor , “An examination of capital structure in the restaurant industry,” International Journal of Contemporary Hospitality Management, vol. 13, no. 2, pp. 54-59, 2001.
[20] J. Chen, L. Chollete and R. Ray, “Financial distress and idiosyncratic volatility: An empirical investigation,” Journal of Financial Markets, vol. 13, no. 2, pp. 249-267, 2010.
[21] H. Son, C. Hyun, D. Phan and H. J. Hwang, “Data analytic approach for bankruptcy prediction,” Expert Systems with Applications, vol. 138, 2019.

[22]

European Commission, “OArtificial Intelligence – A European approach to excellence and trust,” 2020. [Online]. Available: https://ec.europa.eu/info/sites/default/files/commission-white-paper-artificial-intelligence-feb2020_en.pdf. [Accessed 17 December 2021].
[23] D. J. Trump, “Executive order on maintaining American leadership in artificial intelligence,” Federal Register: White House, vol. 84, no. 31, pp. 3967-3972, 2019.

[24]

L. Parker, “The American AI Initiative: The U.S. strategy for leadership in artificial intelligence,” 11 June 2020. [Online]. Available: https://oecd.ai/en/wonk/the-american-ai-initiative-the-u-s-strategy-for-leadership-in-rtificial-intelligence. [Accessed 17 December 2021].
[25] H. Roberts, J. Cowls, J. Morley, M. Taddeo, V. Wang and L. Floridi, “The Chinese approach to artificial intelligence: an analysis of policy, ethics, and regulation,” AI & SOCIETY , vol. 36, pp. 59-77, 2021.
[26]

L. Chiariglione, A. Basso, P. Ribeca, M. Bosi, N. Pretto, C. G., M. Guarise, M. Choi, F. Yassa, R. Iacoviello, A. Artusi, F. Banterle, G. Saccardi, A. Fiandrotti, G. Ballocca, M. Mazzaglia, M. Rosano and S. Moskowitz, “AI-Based media coding and beyond,” in International Broadcasting Conference (IBC), 2021.

[27]

M. Tsinberg, M. Bosi, A. Luthra and R. Iacoviello, “Basic Applications, Technologies and Benefits for Video Coding by means of Artificial Intelligence,” in HPA Tech Retreat, 2021.

[28]

M. Bosi, N. Pretto, M. Guarise and S. Canazza, “Sound and Music Computing using AI: Designing a Standard,” in 18th Sound and Music Computing Conference (SMC ’21), Virtual, 2021.
[29] N. Pretto, C. Fantozzi, E. Micheloni, V. Burini and S. Canazza, “Computing Methodologies Supporting the Preservation of Electroacoustic Music from Analog Magnetic Tape,” Computer Music Journal , vol. 42, no. 4, pp. 59-74, 2019.
[30] M. B. Çöteli and H. Hacıhabiboğlu, “Sparse Representations With Legendre Kernels for DOA Estimation and Acoustic Source Separation,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 29, pp. 2296-2309, 2021.
[31] G. Perboli, A. Tronzano, M. Rosano, L. Tarantino and F. Velardocchia, “Using machine learning to assess public policies: a real case study for supporting SMEs development in Italy,” in IEEE Technology Engineering Management Conference – Europe (TEMSCON-EUR), 2021.

[32]

R. Dini, “FRAND forever? Or are there other business models possible?,” 2021. [Online]. Available: https://mpai.community/2021/01/05/frand-forever-or-are-there-other-business-models-possible/. [Accessed 17 December 2021].
[33] ISO/IEC , “23008-3:2015 Information Technology – High Efficiency Coding and Media Delivery in Heterogeneous Environments – Part 3: 3D Audio,” 2015.

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