Zobrazeno 1 - 10
of 166
pro vyhledávání: '"Lars, Carlsson"'
Autor:
Staffan Arvidsson McShane, Ulf Norinder, Jonathan Alvarsson, Ernst Ahlberg, Lars Carlsson, Ola Spjuth
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-17 (2024)
Abstract Conformal prediction has seen many applications in pharmaceutical science, being able to calibrate outputs of machine learning models and producing valid prediction intervals. We here present the open source software CPSign that is a complet
Externí odkaz:
https://doaj.org/article/5bc293f6d66346fca78338f8c969d309
Autor:
Egon L. Willighagen, John W. Mayfield, Jonathan Alvarsson, Arvid Berg, Lars Carlsson, Nina Jeliazkova, Stefan Kuhn, Tomáš Pluskal, Miquel Rojas-Chertó, Ola Spjuth, Gilleain Torrance, Chris T. Evelo, Rajarshi Guha, Christoph Steinbeck
Publikováno v:
Journal of Cheminformatics, Vol 9, Iss 1, Pp 1-19 (2017)
Abstract Background The Chemistry Development Kit (CDK) is a widely used open source cheminformatics toolkit, providing data structures to represent chemical concepts along with methods to manipulate such structures and perform computations on them.
Externí odkaz:
https://doaj.org/article/04d9c1e269724925b7979d21a9dd3f92
Publikováno v:
Logistics, Vol 5, Iss 1, p 10 (2021)
Loading and unloading rolling cargo in roll-on/roll-off are important and very recurrent operations in maritime logistics. In this paper, we apply state-of-the-art deep reinforcement learning algorithms to automate these operations in a complex and r
Externí odkaz:
https://doaj.org/article/f84723fcce2c490c9866be7c0a08c229
On the selection of relevant historical demand data for revenue management applied to transportation
Publikováno v:
Journal of Revenue and Pricing Management.
The success of revenue management models depends to a large extent on the quality of historical data used to forecast future bookings. Several theoretical models and best practices of handing historical data have been developed over the years, that a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49a32181e2db96b7f98aeb1795704af6
https://doi.org/10.1057/s41272-022-00371-0
https://doi.org/10.1057/s41272-022-00371-0
Autor:
Egon L. Willighagen, John W. Mayfield, Jonathan Alvarsson, Arvid Berg, Lars Carlsson, Nina Jeliazkova, Stefan Kuhn, Tomáš Pluskal, Miquel Rojas-Chertó, Ola Spjuth, Gilleain Torrance, Chris T. Evelo, Rajarshi Guha, Christoph Steinbeck
Publikováno v:
Journal of Cheminformatics, Vol 9, Iss 1, Pp 1-1 (2017)
Externí odkaz:
https://doaj.org/article/d29f0d164e91454a8645a5397063550f
Autor:
Jiangming Sun, Nina Jeliazkova, Vladimir Chupakhin, Jose-Felipe Golib-Dzib, Ola Engkvist, Lars Carlsson, Jörg Wegner, Hugo Ceulemans, Ivan Georgiev, Vedrin Jeliazkov, Nikolay Kochev, Thomas J. Ashby, Hongming Chen
Publikováno v:
Journal of Cheminformatics, Vol 9, Iss 1, Pp 1-1 (2017)
Externí odkaz:
https://doaj.org/article/00fb40ad662d4386a5f5984ec361fb38
Publikováno v:
Logistics, Vol 5, Iss 10, p 10 (2021)
Logistics
Volume 5
Issue 1
Logistics
Volume 5
Issue 1
Loading and unloading rolling cargo in roll-on/roll-off are important and very recurrent operations in maritime logistics. In this paper, we apply state-of-the-art deep reinforcement learning algorithms to automate these operations in a complex and r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a27ee0f67101b2358116d33bf696bc19
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-442609
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-442609
Publikováno v:
Mutagenesis. 34:33-40
Valid and predictive models for classifying Ames mutagenicity have been developed using conformal prediction. The models are Random Forest models using signature molecular descriptors. The investigation indicates, on excluding not-strongly mutagenic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::540a9349544fb83758fa2dc862faf421
https://doi.org/10.1093/mutage/gey038
https://doi.org/10.1093/mutage/gey038
Autor:
Ulf Norinder, Natália Aniceto, Fredrik Svensson, Ola Spjuth, Isidro Cortes-Ciriano, Andreas Bender, Lars Carlsson
Publikováno v:
Journal of Chemical Information and Modeling. 58:1132-1140
Making predictions with an associated confidence is highly desirable as it facilitates decision making and resource prioritization. Conformal regression is a machine learning framework that allows the user to define the required confidence and delive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::535a98c4af8d77a2a48f6d06e6c1bcf9
https://doi.org/10.1021/acs.jcim.8b00054
https://doi.org/10.1021/acs.jcim.8b00054
Autor:
Ida S. Lindman, Lars Carlsson
Publikováno v:
The Journal of Arthroplasty. 33:51-54
BACKGROUND Considerable blood loss which requires transfusion is frequently reported after total hip and knee arthroplasties (THA and TKA). The purpose of this study is to review the transfusion rates in contemporary THA and TKA with optimized periop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::194abbd6e76410f6f82af698bf17df42
https://doi.org/10.1016/j.arth.2017.07.034
https://doi.org/10.1016/j.arth.2017.07.034