Zobrazeno 1 - 10
of 2 962
pro vyhledávání: '"Kesselman, A."'
Increasingly, artificial intelligence (AI) and machine learning (ML) are used in eScience applications [9]. While these approaches have great potential, the literature has shown that ML-based approaches frequently suffer from results that are either
Externí odkaz:
http://arxiv.org/abs/2407.01608
Autor:
Mitra Lal, Ellina Kesselman, Ellen Wachtel, Olga Kleinerman, Yoav Peleg, Shira Albeck, Koushik Majhi, Mordechai Sheves, Guy Patchornik
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract The term supramolecular polymer has been applied to polymeric materials in which the individual units, i.e., building blocks—are bound to each other via noncovalent interactions, including electrostatic or hydrogen bonding, as well as meta
Externí odkaz:
https://doaj.org/article/6f9f53a9df83439ab23ed3da3e3f8bda
Autor:
Lal, Mitra1 (AUTHOR), Kesselman, Ellina2 (AUTHOR), Wachtel, Ellen3 (AUTHOR), Kleinerman, Olga2 (AUTHOR), Peleg, Yoav4 (AUTHOR), Albeck, Shira4 (AUTHOR), Majhi, Koushik5 (AUTHOR), Sheves, Mordechai5 (AUTHOR), Patchornik, Guy1 (AUTHOR) guyp@ariel.ac.il
Publikováno v:
Scientific Reports. 11/16/2024, Vol. 14 Issue 1, p1-9. 9p.
Autor:
Kesselman, Martin A., Esquivel, Wilson
Publikováno v:
Library Hi Tech News, 2023, Vol. 41, Issue 1, pp. 1-4.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/LHTN-11-2023-0196
Autor:
Foster, Ian, Kesselman, Carl
Publikováno v:
High Performance Computing: From Grids and Clouds to Exascale, IOS Press, pages 3-30, 2011
With the widespread availability of high-speed networks, it becomes feasible to outsource computing to remote providers and to federate resources from many locations. Such observations motivated the development, from the mid-1990s onwards, of a range
Externí odkaz:
http://arxiv.org/abs/2204.04312
IHMCIF: An Extension of the PDBx/mmCIF Data Standard for Integrative Structure Determination Methods
Autor:
Vallat, Brinda, Webb, Benjamin M., Westbrook, John D., Goddard, Thomas D., Hanke, Christian A., Graziadei, Andrea, Peisach, Ezra, Zalevsky, Arthur, Sagendorf, Jared, Tangmunarunkit, Hongsuda, Voinea, Serban, Sekharan, Monica, Yu, Jian, Bonvin, Alexander A.M.J.J., DiMaio, Frank, Hummer, Gerhard, Meiler, Jens, Tajkhorshid, Emad, Ferrin, Thomas E., Lawson, Catherine L., Leitner, Alexander, Rappsilber, Juri, Seidel, Claus A.M., Jeffries, Cy M., Burley, Stephen K., Hoch, Jeffrey C., Kurisu, Genji, Morris, Kyle, Patwardhan, Ardan, Velankar, Sameer, Schwede, Torsten, Trewhella, Jill, Kesselman, Carl, Berman, Helen M., Sali, Andrej
Publikováno v:
In Journal of Molecular Biology 1 September 2024 436(17)
Autor:
Foster, Ian, Kesselman, Carl
Publikováno v:
Computer, vol. 55, no. 8, pp. 20-30, Aug. 2022
Despite much creative work on methods and tools, reproducibility -- the ability to repeat the computational steps used to obtain a research result -- remains elusive. One reason for these difficulties is that extant tools for capturing research proce
Externí odkaz:
http://arxiv.org/abs/2201.08296
Publikováno v:
Harvard Data Science Review, Volume 4, Issue 3, 2022
The broad sharing of research data is widely viewed as of critical importance for the speed, quality, accessibility, and integrity of science. Despite increasing efforts to encourage data sharing, both the quality of shared data, and the frequency of
Externí odkaz:
http://arxiv.org/abs/2201.06564
Autor:
Roy, Animikh, Kesselman, Andor
Graph Theory and Topological Data Analytics, while powerful, have many drawbacks related to their sensitivity and consistency with TDA & Graph Network Analytics. In this paper, we aim to propose a novel approach for encoding vectorized associations b
Externí odkaz:
http://arxiv.org/abs/2201.06923
Autor:
Tangmunarunkit, Hongsuda, Shafaeibejestan, Aref, Chudy, Joshua, Czajkowski, Karl, Schuler, Robert, Kesselman, Carl
Discovery of new knowledge is increasingly data-driven, predicated on a team's ability to collaboratively create, find, analyze, retrieve, and share pertinent datasets over the duration of an investigation. This is especially true in the domain of sc
Externí odkaz:
http://arxiv.org/abs/2110.01781