Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Panos Kalnis"'
Publikováno v:
Data, Vol 4, Iss 2, p 63 (2019)
One cannot help but classify the continuous birth and demise of Artificial Intelligence (AI) trends into the everlasting theme of the battle between connectionist and symbolic AI [...]
Externí odkaz:
https://doaj.org/article/7065bd722521439485b05fb9f61951c1
Autor:
Othman Soufan, Wail Ba-alawi, Moataz Afeef, Magbubah Essack, Valentin Rodionov, Panos Kalnis, Vladimir B Bajic
Publikováno v:
PLoS ONE, Vol 10, Iss 12, p e0144426 (2015)
High-throughput screening (HTS) experiments provide a valuable resource that reports biological activity of numerous chemical compounds relative to their molecular targets. Building computational models that accurately predict such activity status (a
Externí odkaz:
https://doaj.org/article/cc6e13ad6a3e406888d0657aca1d48e6
Publikováno v:
PLoS ONE, Vol 10, Iss 2, p e0117988 (2015)
Many scientific problems can be formulated as classification tasks. Data that harbor relevant information are usually described by a large number of features. Frequently, many of these features are irrelevant for the class prediction. The efficient i
Externí odkaz:
https://doaj.org/article/78412d566c1c4911a0b5686132e2d1cf
Publikováno v:
PLoS ONE, Vol 8, Iss 9, p e75505 (2013)
A fundamental problem in bioinformatics is genome assembly. Next-generation sequencing (NGS) technologies produce large volumes of fragmented genome reads, which require large amounts of memory to assemble the complete genome efficiently. With recent
Externí odkaz:
https://doaj.org/article/b3b514541bde4b77918fb3962631f788
Autor:
Shanshan Feng, Lisi Chen, Kaiqi Zhao, Wei Wei, Xuemeng Song, Shuo Shang, Panos Kalnis, Ling Shao
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4a2a1308112864a02be3969b702f735
https://doi.org/10.1109/tkde.2022.3221929
https://doi.org/10.1109/tkde.2022.3221929
Publikováno v:
World Wide Web.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f65c0cbe0580fe247f3ad2e00f5473e0
https://doi.org/10.1007/s11280-023-01162-2
https://doi.org/10.1007/s11280-023-01162-2
Motivation Protein–protein interactions drive many relevant biological events, such as infection, replication and recognition. To control or engineer such events, we need to access the molecular details of the interaction provided by experimental 3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef666d53ed584d57390b8aea6de5137d
https://doi.org/10.1101/2022.10.22.512683
https://doi.org/10.1101/2022.10.22.512683
Publikováno v:
34th International Conference on Scientific and Statistical Database Management.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f387ee046872473c2e2b1748a01f6ec
https://doi.org/10.1145/3538712.3538724
https://doi.org/10.1145/3538712.3538724
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
Infectious diseases have been recognized as major public health concerns for decades. Close contact discovery is playing an indispensable role in preventing epidemic transmission. In this light, we study the continuous exposure search problem: Given
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dd65831ec6629c4e96bbd4c38d08580
https://doi.org/10.24963/ijcai.2022/540
https://doi.org/10.24963/ijcai.2022/540
Publikováno v:
Neural Computing and Applications. 35:3585-3586
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db12440ca14b0eb963d7f63901b0a27b
https://doi.org/10.1007/s00521-022-08001-x
https://doi.org/10.1007/s00521-022-08001-x