[1]
2016: The Year That Deep Learning Took Over the Internet | WIRED: https://www.wired.com/2016/12/2016-year-deep-learning-took-internet/.
[2]
Adadi. (2018). Peeking inside the black-box: A survey on Explainable Artificial Intelligence (XAI).: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8466590.
[3]
BBC - iWonder - AI: 15 key moments in the story of artificial intelligence: http://www.bbc.co.uk/timelines/zq376fr.
[4]
Biran, (2017). Explanation and justification in machine learning: A survey.: http://www.intelligentrobots.org/files/IJCAI2017/IJCAI-17_XAI_WS_Proceedings.pdf#page=8.
[5]
Gavalas, D. et al. 2014. A personalized multimodal tourist tour planner. Proceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia - MUM ’14 (2014), 73–80.
[6]
Greenwald, H.S. and Oertel, C.K. 2017. Greenwald    Future Directions in Machine Learning. Frontiers in Robotics and AI. 3, (Jan. 2017). DOI:https://doi.org/10.3389/frobt.2016.00079.
[7]
Jumping NLP Curves: A Review of Natural Language Processing Research [Review Article] - IEEE Journals & Magazine: https://ieeexplore.ieee.org/document/6786458.
[8]
Kato, N. et al. (2018). DeepWear: a case study of collaborative design between human and artificial intelligence.: http://delivery.acm.org/10.1145/3180000/3173302/p529-kato.pdf?ip=128.16.28.25&id=3173302&acc=ACTIVE+SERVICE&key=BF07A2EE685417C5.D93309013A15C57B.4D4702B0C3E38B35.4D4702B0C3E38B35&__acm__=1554729727_1f11564cf649f4da6a8f92db4a8183fe.
[9]
Kato, N. et al. (2018). DeepWear: a case study of collaborative design between human and artificial intelligence.: http://delivery.acm.org/10.1145/3180000/3173302/p529-kato.pdf?ip=128.16.28.25&id=3173302&acc=ACTIVE%20SERVICE&key=BF07A2EE685417C5%2ED93309013A15C57B%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&__acm__=1554729727_1f11564cf649f4da6a8f92db4a8183fe.
[10]
Kato, N. et al. (2018). DeepWear: a case study of collaborative design between human and artificial intelligence. In: Proceedings of the Twelfth International Conference on Tangible, Embedded, and Embodied Interaction (TEI 2018), 529-536.: http://delivery.acm.org/10.1145/3180000/3173302/p529-kato.pdf?ip=128.16.28.25&id=3173302&acc=ACTIVE%20SERVICE&key=BF07A2EE685417C5%2ED93309013A15C57B%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&__acm__=1554730062_4ca06d2d47af435009aeb5d1d5d0fca0.
[11]
Levinson (2011). Towards Fully Autonomous Driving: Systems and Algorithms.: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=5940562.
[12]
Ngai, E.W.T. et al. 2014. Ngai, Decision support and intelligent systems in the textile and apparel supply chain. Expert Systems with Applications. 41, 1 (Jan. 2014), 81–91. DOI:https://doi.org/10.1016/j.eswa.2013.07.013.
[13]
Wang, H. et al. 2016. Style-Me – An Experimental AI Fashion Stylist. Trends in Applied Knowledge-Based Systems and Data Science. H. Fujita et al., eds. Springer International Publishing. 553–561.
[14]
Abdul (2018). Trends and trajectories for explainable, accountable and intelligible systems.
[15]
Al-Halah. (2017). Fashion forward: forecasting visual style in fashion. .
[16]
An Overview of Search Techniques in Multi-Player Games.
[17]
Hassabis, Neuroscience-Inspired Artificial Intelligence |.
[18]
Human Swarming, a real-time method for Parallel Distributed Intelligence.
[19]
Ros (2012, June). Visual slam for driverless cars.
[20]
Russell& Norvig Chap 2 Intelligent Agents.
[21]
The Joy of AI. BBC4.
[22]
Waldrop (2015). No drivers required.