Zobrazeno 1 - 4
of 4
pro vyhledávání: '"van Stijn, Jip"'
Autor:
van Stijn, Jip
Increasing automation in the healthcare sector calls for a Hybrid Intelligence (HI) approach to closely study and design the collaboration of humans and autonomous machines. Ensuring that medical HI systems' decision-making is ethical is key. The use
Externí odkaz:
http://arxiv.org/abs/2102.11211
Autor:
van Stijn, Jip J., Neerincx, Mark A., ten Teije, Annette, Vethman, Steven, Martin, Andreas, Hinkelmann, Knut, Fill, Hans-Georg, Gerber, Aurona, Lenat, Doug, Stolle, Reinhard, van Harmelen, Frank
Publikováno v:
AAAI-MAKE 2021 Combining Machine Learning and Knowledge Engineering: Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021) Stanford University, Palo Alto, California, USA, March 22-24, 2021, 1-12
STARTPAGE=1;ENDPAGE=12;TITLE=AAAI-MAKE 2021 Combining Machine Learning and Knowledge Engineering
STARTPAGE=1;ENDPAGE=12;TITLE=AAAI-MAKE 2021 Combining Machine Learning and Knowledge Engineering
Increasing automation in the healthcare sector calls for a Hybrid Intelligence (HI) approach to closely study and design the collaboration of humans and autonomous machines. Ensuring that medical HI systems' decision-making is ethical is key. The use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::b58b7cdd5b7e7d03b6a3bef6a48188d6
https://research.vu.nl/en/publications/7bd06c0e-21f6-4156-88cb-578effd8bf14
https://research.vu.nl/en/publications/7bd06c0e-21f6-4156-88cb-578effd8bf14
Publikováno v:
van Stijn, J J, Neerincx, M A, ten Teije, A & Vethman, S 2021, Team design patterns for moral decisions in hybrid intelligent systems : A case study of bias mitigation . in A Martin, K Hinkelmann, H-G Fill, A Gerber, D Lenat, R Stolle & F van Harmelen (eds), AAAI-MAKE 2021 Combining Machine Learning and Knowledge Engineering : Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021) Stanford University, Palo Alto, California, USA, March 22-24, 2021 . CEUR Workshop Proceedings, vol. 2846, CEUR-WS, pp. 1-12, 2021 AAAI Spring Symposium on Combining Machine Learning and Knowledge Engineering, AAAI-MAKE 2021, Palo Alto, United States, 22/03/21 . < http://ceur-ws.org/Vol-2846/paper15.pdf >
Increasing automation in the healthcare sector calls for a Hybrid Intelligence (HI) approach to closely study and design the collaboration of humans and autonomous machines. Ensuring that medical HI systems' decision-making is ethical is key. The use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4246acfdb47064b33b50ac2af05a2e74
https://research.vu.nl/en/publications/7bd06c0e-21f6-4156-88cb-578effd8bf14
https://research.vu.nl/en/publications/7bd06c0e-21f6-4156-88cb-578effd8bf14
Autor:
Heijmans, Pieke, van Stijn, Jip, Treur, Jan, Yang, Xin-She, Sherratt, Simon, Dey, Nilanjan, Joshi, Amit
Publikováno v:
Heijmans, P, van Stijn, J & Treur, J 2020, Modeling Cultural Segregation of the Queer Community Through an Adaptive Social Network Model . in X-S Yang, S Sherratt, N Dey & A Joshi (eds), Fourth International Congress on Information and Communication Technology : ICICT 2019, London, Volume 2 . vol. 2, Advances in Intelligent Systems and Computing, vol. 1027, Springer, pp. 233-248, 4th International Congress on Information and Communication Technology, ICICT 2019, London, United Kingdom, 27/02/19 . https://doi.org/10.1007/978-981-32-9343-4_19
Fourth International Congress on Information and Communication Technology: ICICT 2019, London, Volume 2, 2, 233-248
Advances in Intelligent Systems and Computing ISBN: 9789813293427
ICICT (2)
Fourth International Congress on Information and Communication Technology: ICICT 2019, London, Volume 2, 2, 233-248
Advances in Intelligent Systems and Computing ISBN: 9789813293427
ICICT (2)
In this study, the forming of social communities and segregation is examined through a case study on the involvement in the queer community. This is examined using a temporal-causal network model. In this study, several scenarios are proposed to mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::191ce4fe599c07dd318cdab1685d6553
https://hdl.handle.net/1871.1/aaba3ff8-89a2-482a-b374-578bfbd15bcf
https://hdl.handle.net/1871.1/aaba3ff8-89a2-482a-b374-578bfbd15bcf