Zobrazeno 1 - 10
of 207
pro vyhledávání: '"Kenneth De Jong"'
Autor:
Siva Venkadesh, Alexander O. Komendantov, Stanislav Listopad, Eric O. Scott, Kenneth De Jong, Jeffrey L. Krichmar, Giorgio A. Ascoli
Publikováno v:
Frontiers in Neuroinformatics, Vol 12 (2018)
The diversity of intrinsic dynamics observed in neurons may enhance the computations implemented in the circuit by enriching network-level emergent properties such as synchronization and phase locking. Large-scale spiking network models of entire bra
Externí odkaz:
https://doaj.org/article/93f1c502ac814cdab8565f19c9b3c7e6
Publikováno v:
PLoS ONE, Vol 9, Iss 7, p e99982 (2014)
BackgroundMany open problems in bioinformatics involve elucidating underlying functional signals in biological sequences. DNA sequences, in particular, are characterized by rich architectures in which functional signals are increasingly found to comb
Externí odkaz:
https://doaj.org/article/2ded894b5ea545f58ac33024d1af601c
Autor:
Kenneth De Jong, Emma Hart
Publikováno v:
Evolutionary Computation. :1-6
We reflect on 30 years of the journal Evolutionary Computation. Taking the articles published in the first volume in 1993 as a springboard, as the founding and current Editors-in-Chief, we comment on the beginnings of the field, evaluate the extent t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0ec7c2738335f0e79c085a7e90bcfb9
https://doi.org/10.1162/evco_e_00324
https://doi.org/10.1162/evco_e_00324
Autor:
Kenneth De Jong
Publikováno v:
Proceedings of The 17th International Symposium on Computer and Information Sciences ISBN: 9780429332821
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4935a5df7b3e733976612e2ec8f6ffd2
https://doi.org/10.1201/9780429332821-52
https://doi.org/10.1201/9780429332821-52
Autor:
Yu-Jung Lin, Kenneth de Jong
Publikováno v:
Journal of Phonetics. 99:101245
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70638adba0a56725aa886534e32e7a56
https://doi.org/10.1016/j.wocn.2023.101245
https://doi.org/10.1016/j.wocn.2023.101245
Publikováno v:
ANZ Journal of Surgery. 91:392-397
Background Post-operative imaging aims to assess fracture reduction and fixation with better resolution than intraoperative fluoroscopy (IF). However, this routine practice may increase costs and delay the discharge of patients. The aim of this study
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f783c561d9c642b881469c1a034a42f2
https://doi.org/10.1111/ans.16610
https://doi.org/10.1111/ans.16610
Publikováno v:
EPiC Series in Computing.
Deep learning research, from ResNet to AlphaFold2, convincingly shows that deep learning can predict the native conformation of a given protein sequence with high accu- racy. Accounting for the plasticity of protein molecules remains challenging, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb606a87f99a6f95cd902cb81cd67032
https://doi.org/10.29007/gfdc
https://doi.org/10.29007/gfdc
Publikováno v:
IEEE/ACM transactions on computational biology and bioinformatics.
We have long known that characterizing protein structures structure is key to understanding protein function. Computational approaches have largely addressed a narrow formulation of the problem, seeking to compute one native structure from an amino-a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::580f95a6b7de78a971b4d8036c23a749
https://pubmed.ncbi.nlm.nih.gov/34882562
https://pubmed.ncbi.nlm.nih.gov/34882562
Autor:
Kenneth de Jong, Mark Coletti, Maryam Parsa, Catherine D. Schuman, Shruti R. Kulkarni, Eric O. Scott, Bill Kay
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030870935
UKCI
UKCI
Asynchronous evolutionary algorithms are becoming increasingly popular as a means of making full use of many processors while solving computationally expensive search and optimization problems. These algorithms excel at keeping large clusters fully u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92a8a3ed3c82c18684e210641ce5a41a
https://doi.org/10.1007/978-3-030-87094-2_7
https://doi.org/10.1007/978-3-030-87094-2_7
Publikováno v:
The Journal of the Acoustical Society of America. 146:EL444-EL450
English [ɫ] exhibits retracted tongue dorsum and low F2 frequencies compared to Korean [l], but is frequently asserted to be perceptually similar to Korean [l] and therefore difficult for Korean learners to acquire due to articulatory transfer. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fabcb2982b31691aab571aca626ce50
https://doi.org/10.1121/1.5134656
https://doi.org/10.1121/1.5134656