Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Ekaterina Vladislavleva"'
Autor:
Lander Willem, Sean Stijven, Ekaterina Vladislavleva, Jan Broeckhove, Philippe Beutels, Niel Hens
Publikováno v:
PLoS Computational Biology, Vol 10, Iss 4, p e1003563 (2014)
Modeling plays a major role in policy making, especially for infectious disease interventions but such models can be complex and computationally intensive. A more systematic exploration is needed to gain a thorough systems understanding. We present a
Externí odkaz:
https://doaj.org/article/73f74cd4c41e4bc397be35bb27c6756d
Autor:
Fabienne Clement, Christophe Goncalves, Ekaterina Vladislavleva, Priscille Pradal, Ranveig Nåbo, Alex Landuyt, Geert D'Heer, Sonja Frommenwiler, Renata Januszewska, Elodie Giret, Hanspeter Haefliger, Isabelle Van Leuven
Publikováno v:
Food Research International. 137:109313
The sensory characteristics of white and milk chocolate with three origins of vanilla (Madagascar, Indonesia, Papua New Guinea) were investigated using a multi-analytical approach. The sensory tests included profiling using Quantitative Descriptive A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::248ab2e19c7fc73f46f4e7458fd50d1c
https://doi.org/10.1016/j.foodres.2020.109313
https://doi.org/10.1016/j.foodres.2020.109313
Autor:
Brecht Vermeulen, Dirk Deschrijver, Ekaterina Vladislavleva, Nicolas Staelens, Piet Demeester, Tom Dhaene
Publikováno v:
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
In order to ensure optimal quality of experience toward end users during video streaming, automatic video quality assessment becomes an important field-of-interest to video service providers. Objective video quality metrics try to estimate perceived
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e49551a2d4dff473e8a9e7e9af5ed63e
https://doi.org/10.1109/tcsvt.2013.2243052
https://doi.org/10.1109/tcsvt.2013.2243052
Publikováno v:
Genetic Programming and Evolvable Machines. 13:103-133
Knowledge mining sensory evaluation data is a challenging process due to extreme sparsity of the data, and a large variation in responses from different members (called assessors) of the panel. The main goals of knowledge mining in sensory sciences a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2031b2ea13bfdfd80baad6aaf732f7e1
https://doi.org/10.1007/s10710-011-9153-2
https://doi.org/10.1007/s10710-011-9153-2
Publikováno v:
Annals of Mathematics and Artificial Intelligence. 61:105-123
We demonstrate a means of knowledge discovery through feature extraction that exploits the search history of a search-based optimization run. We regress a symbolic model ensemble from optimization run search points and their objective scores. The fre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bef3b9d334c4570a1f8a7cc538084d83
https://doi.org/10.1007/s10472-011-9229-y
https://doi.org/10.1007/s10472-011-9229-y
Publikováno v:
IEEE transactions on evolutionary computation
IEEE Transactions on Evolutionary Computation, 14(2), 252-277. Institute of Electrical and Electronics Engineers Inc.
IEEE Transactions on Evolutionary Computation, 14(2), 252-277. Institute of Electrical and Electronics Engineers Inc.
Symbolic regression of input-output data conventionally treats data records equally. We suggest a framework for automatic assignment of weights to data samples, which takes into account the sample's relative importance. In this paper, we study the po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4594036cfaa74053299ea14236e4bc91
https://doi.org/10.1109/tevc.2009.2029697
https://doi.org/10.1109/tevc.2009.2029697
Publikováno v:
Genetic Programming Theory and Practice XIII ISBN: 9783319342214
In this chapter we review a number of real-world applications where symbolic regression was used recently and with great success. Industrial scale symbolic regression armed with the power to select right variables and variable combinations, build rob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de5e8c59c4700a5c8f4a3904f79741e1
https://doi.org/10.1007/978-3-319-34223-8_14
https://doi.org/10.1007/978-3-319-34223-8_14
These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of
Publikováno v:
Springer Handbook of Computational Intelligence ISBN: 9783662435045
Handbook of Computational Intelligence
Handbook of Computational Intelligence
In this chapter, we review the progress and the impact of computational intelligence for industrial applications sampled from the last 10 Open image in new window years of our personal careers and areas of research (all authors of this chapter do com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5328c52f5f4b80c4419f3f96ab7875d2
https://doi.org/10.1007/978-3-662-43505-2_57
https://doi.org/10.1007/978-3-662-43505-2_57
Publikováno v:
Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation.
It is our great pleasure to welcome you to the 6th 2014 GECCO Workshop on Symbolic Regression and Modeling. Over the past five workshops, we have had interesting presentations and fantastic discussions around symbolic regression, genetic programming,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0126e53f3b9f355b94f123c47df437b
https://doi.org/10.1145/3250294
https://doi.org/10.1145/3250294