Explainable Drug Repurposing in Context via Deep Reinforcement Learning

Autor: Lise Stork, Ilaria Tiddi, René Spijker, Annette ten Teije

Publikováno v: The Semantic Web ISBN: 9783031334542

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e166fba09e310df468a7b7ef185067af
https://doi.org/10.1007/978-3-031-33455-9_1

Ten years of knowledge representation for health care (2009–2018)

Autor: Annette ten Teije, David Riaño, Mor Peleg

Publikováno v: Riaño, D, Peleg, M & ten Teije, A 2019, ' Ten years of knowledge representation for health care (2009–2018) : Topics, trends, and challenges ', Artificial Intelligence in Medicine, vol. 100, 101713, pp. 1-12 . https://doi.org/10.1016/j.artmed.2019.101713

Background In the last ten years, the international workshop on knowledge representation for health care (KR4HC) has hosted outstanding contributions of the artificial intelligence in medicine community pertaining to the formalization and representat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f0127ae214d01713f416d71ff9e1823
http://www.scopus.com/inward/record.url?scp=85072038269&partnerID=8YFLogxK

Storchastic: A Framework for General Stochastic Automatic Differentiation

Autor: Emile van Krieken, Jakub Tomczak, Annette ten Teije

Publikováno v: Vrije Universiteit Amsterdam
van Krieken, E, Tomczak, J M & ten Teije, A 2021, Storchastic: A Framework for General Stochastic Automatic Differentiation . in MA Ranzato, A Beygelzimer, Y Dauphin, P S Liang & J Wortman Vaughan (eds), Advances in Neural Information Processing Systems 34 (NeurIPS 2021) . Advances in Neural Information Processing Systems, Neural information processing systems foundation, pp. 7574-7587, 35th Conference on Neural Information Processing Systems, NeurIPS 2021, Virtual, Online, 6/12/21 . < https://papers.nips.cc/paper/2021/hash/3dfe2f633108d604df160cd1b01710db-Abstract.html >

Modelers use automatic differentiation (AD) of computation graphs to implement complex Deep Learning models without defining gradient computations. Stochastic AD extends AD to stochastic computation graphs with sampling steps, which arise when modele

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc04b8e2da2a05542dbfbe5851ee4d7b

Analyzing interactions on combining multiple clinical guidelines

Autor: Edwin Geleijn, Cédric Pruski, Veruska Zamborlini, Frank van Harmelen, Annette ten Teije, Martijn M. Stuiver, Marike van der Leeden, Marcos Da Silveira

Publikováno v: Artificial Intelligence in Medicine, 81, 78-93. Elsevier
Artificial intelligence in medicine, 81, 78-93. Elsevier
Zamborlini, V, Da Silveira, M, Pruski, C, ten Teije, A, Geleijn, E, van der Leeden, M, Stuiver, M & van Harmelen, F 2017, ' Analyzing interactions on combining multiple clinical guidelines ', Artificial Intelligence in Medicine, vol. 81, pp. 78-93 . https://doi.org/10.1016/j.artmed.2017.03.012
Zamborlini, V, da Silveira, M, Pruski, C, ten Teije, A, Geleijn, E, van der Leeden, M, Stuiver, M & van Harmelen, F 2017, ' Analyzing interactions on combining multiple clinical guidelines ', Artificial Intelligence in Medicine, vol. 81, pp. 78-93 . https://doi.org/10.1016/j.artmed.2017.03.012

Accounting for patients with multiple health conditions is a complex task that requires analysing potential interactions among recommendations meant to address each condition. Although some approaches have been proposed to address this issue, importa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd2e0bde43c308c623a9756815a135a6
https://doi.org/10.1016/j.artmed.2017.03.012

A Boxology of Design Patterns for Hybrid Learning and Reasoning Systems

Autor: Frank van Harmelen, Annette ten Teije

Publikováno v: van Harmelen, F & ten Teije, A 2019, ' A Boxology of Design Patterns for Hybrid Learning and Reasoning Systems ', JOURNAL OF WEB ENGINEERING, vol. 18, no. 1-3, 3, pp. 97-124 . https://doi.org/10.13052/jwe1540-9589.18133
JOURNAL OF WEB ENGINEERING, 18(1-3):3, 97-124. River Publishers
Vrije Universiteit Amsterdam
van Harmelen, F & Ten Teije, A 2019, A boxology of design patterns for hybrid learning and reasoning systems . in K Beuls, B Bogaerts, G Bontempi, P Geurts, N Harley, B Lebichot, T Lenaerts, G Louppe & P Van Eecke (eds), BNAIC/BENELEARN 2019 Proceedings of the Reference AI & ML Conference for Belgium, Netherlands & Luxemburg : Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019) Brussels, Belgium, November 6-8, 2019 . CEUR Workshop Proceedings, vol. 2491, CEUR-WS, pp. 1-2, 31st Benelux Conference on Artificial Intelligence and the 28th Belgian Dutch Conference on Machine Learning, BNAIC/BENELEARN 2019, Brussels, Belgium, 6/11/19 . < http://ceur-ws.org/Vol-2491/abstract63.pdf >

We propose a set of compositional design patterns to describe a large variety of systems that combine statistical techniques from machine learning with symbolic techniques from knowledge representation. As in other areas of computer science (knowledg

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35ac0ba451d73f7a97c9139027107826
https://hdl.handle.net/1871.1/544f6893-59ca-4b4c-b7bf-75e28aec6078