1 |
Christian Szegedy et al., (2015) "Going Deeper with Convolutions," Proc. IEEE Conference Computer Vision and Pattern Recognition (CVPR), 2015, pp. 1-9, http://mng.bz/JzGv.
|
2 |
Large Scale Visual Recognition Challenge 2017 (ILSVRC2017) results, http://image-net.org/ challenges/LSVRC/2017/results.
|
3 |
Yunpeng Chen et al., "Dual Path Networks," https://arxiv.org/pdf/1707.01629.pdf.
|
4 |
Yonghui Wu et al.,(2016) "Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation," submitted 26 Sept. 2016, https://arxiv.org/ abs/1609.08144.
|
5 |
Chung-Cheng Chiu et al.,(2017) "State-of-the- Art Speech Recognition with Sequence-to- Sequence Models," submitted 5 Dec. 2017, https://arxiv.org/abs/1712.01769.
|
6 |
Volodymyr Mnih et al., (2013) "Playing Atari with Deep Reinforcement Learning," NIPS Deep Learning Workshop 2013, https://arxiv.org/ abs/1312.5602.
|
7 |
David Silver et al., "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm," submitted 5 Dec. 2017, https://arxiv.org/abs/1712.01815.
|
8 |
Varun Gulshan et al., "Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs," JAMA, vol. 316, no. 22, 2016, pp. 2402-2410, http://mng.bz/wlDQ.
DOI
|
9 |
J. Bosse, M. Burnett, (2015). European Public Sector Award 2015: The public sector as partner for a better society European Institute of Public Administration, Maastricht, the Netherlands.
|
10 |
Accenture (2016). Digital government: Your digital citizens are ready, willing… and wait in Retrieved March
|
11 |
R. Ayachi, I. (2016). Proactive and reactive e-government services recommendation Universal Access in the Information Society, 15 (4) pp. 681-697
|
12 |
European Commission 2016). eGovernment benchmark 2016: A turning point for eGovernment development in Europe? Final insight report Vol. 1.
|
13 |
Hendrik Scholta et al (2019). From one-stop shop to no-stop shop: An e-government stage model, Government Information Quarterly 36(1), pp. 11-26.
DOI
|
14 |
Initiative D21, & fortiss eGovernment Monitor (2018). Nutzung und Akzeptanz digitaler Verwaltungsangebote-Deutschland, Osterreich und Schweiz im Vergleich Retrieved March 30, 2018.
|
15 |
Kaiming He et al., (2016) "Deep Residual Learning for Image Recognition," Proc. IEEE Conference Computer Vision and Pattern Recognition (CVPR), 2016, pp. 770-778, http://mng.bz/PO5P.
|
16 |
D. Linders, et al. (2018). Proactive e-governance: Flipping the service delivery model from pull to push in Taiwan, Government Information Quarterly 35(4) S68-S76
DOI
|
17 |
Sirendi and Taveter (2016). Bringing service design thinking into the public sector to create proactive and user-friendly public services, Proceedings of the 3rd International Conference on HCI in Business, Government and Organizations (2016), pp. 221-230
|