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Mulfari, D., & Mulfari, S. (2018, November). Assistive Technologies to Support Distance Learning for Students with Disabilities. In Proceedings of the 4th EAI International Conference on Smart Objects and Technologies for Social Good (pp. 312-313).

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Mulfari, D., Meoni, G., & Fanucci, L. (2018, November). Machine Learning in Assistive Te-chnology: a Solution for People with Dysarthria. In Proceedings of the 4th EAI International Conference on Smart Objects and Technologies for Social Good (pp. 3

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Mulfari, D., Meoni, G., Marini, M., & Fanucci, L. (2019). A Machine Learning Assistive Solution for Users with Dysarthria, Technology and Disability, 31, S137-S146.

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Bruneo, D., Distefano, S., Giacobbe, M., Minnolo, A. L., Longo, F., Mulfari, D., et al. (2019). An iot service ecosystem for smart cities: The# smartme project. Internet of Things, 5, 12-33.

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D. Mulfari, G.Meoni, M.Marini, L. Fanucci (2018) - Towards a Deep Learning Based ASR System for Users with Dysarthria, 16th International Conference on Computers Helping People with Special Needs, University

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Davide Mulfari. 2018. A TensorFlow-based Assistive Technology System for Users with Visual Impairments. In W4A ’18: W4A ’18: The Internet of Accessible Things, April 23–25, 2018, Lyon, France. ACM, New York, NY, USA, 2 pages. https://doi.org/10. 1145

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D. Mulfari, A. Palla, L. Fanucci - Using TensorFlow to design assistive technologies for people with visual impairments - 11th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing

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D. Mulfari, A. Palla, L. Fanucci: "Embedded systems and TensorFlow frameworks as Assistive Technology solutions", AAATE 2017 conference

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