Yolanda Gil
Titel
Zitiert von
Zitiert von
Jahr
Beyond regression:" new tools for prediction and analysis in the behavioral sciences
P Werbos
Ph. D. dissertation, Harvard University, 1974
59871974
Solution of incorrectly formulated problems and the regularization method
AN Tihonov
Soviet Math. 4, 1035-1038, 1963
38541963
Tracking and data association
Y Bar‐Shalom, TE Fortmann, PG Cable
The journal of the acoustical society of America 87 (2), 918-919, 1990
27381990
Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems
SM Weiss, CA Kulikowski
Morgan Kaufmann Publishers Inc., 1991
25861991
Theoretical foundations of the potential function method in pattern recognition learning
MA Aizerman
Automation and remote control 25, 821-837, 1964
23191964
Pegasus: A framework for mapping complex scientific workflows onto distributed systems
E Deelman, G Singh, MH Su, J Blythe, Y Gil, C Kesselman, G Mehta, ...
Scientific Programming 13 (3), 219-237, 2005
16462005
Interpolated estimation of Markov source parameters from sparse data
F Jelinek
Proc. Workshop on Pattern Recognition in Practice, 1980, 1980
13011980
The open provenance model core specification (v1. 1)
L Moreau, B Clifford, J Freire, J Futrelle, Y Gil, P Groth, N Kwasnikowska, ...
Future generation computer systems 27 (6), 743-756, 2011
1055*2011
A survey of trust in computer science and the semantic web
D Artz, Y Gil
Journal of Web Semantics 5 (2), 58-71, 2007
9752007
Examining the challenges of scientific workflows
Y Gil, E Deelman, M Ellisman, T Fahringer, G Fox, D Gannon, C Goble, ...
Computer 40 (12), 24-32, 2007
7802007
Pegasus: Mapping scientific workflows onto the grid
E Deelman, J Blythe, Y Gil, C Kesselman, G Mehta, S Patil, MH Su, K Vahi, ...
European Across Grids Conference, 11-20, 2004
7392004
Mapping abstract complex workflows onto grid environments
E Deelman, J Blythe, Y Gil, C Kesselman, G Mehta, K Vahi, K Blackburn, ...
Journal of Grid Computing 1 (1), 25-39, 2003
6822003
Naming, necessity, and natural kinds
SP Schwartz
4651978
Task scheduling strategies for workflow-based applications in grids
J Blythe, S Jain, E Deelman, Y Gil, K Vahi, A Mandal, K Kennedy
CCGrid 2005. IEEE International Symposium on Cluster Computing and the Grid …, 2005
4552005
Explanation-based learning: A problem solving perspective
S Minton, JG Carbonell, CA Knoblock, DR Kuokka, O Etzioni, Y Gil
Artificial Intelligence 40 (1-3), 63-118, 1989
3981989
Readings in medical artificial intelligence: the first decade
WJ Clancey, EH Shortliffe
Addison-Wesley Longman Publishing Co., Inc., 1984
3971984
Prodigy: An integrated architecture for planning and learning
J Carbonell, O Etzioni, Y Gil, R Joseph, C Knoblock, S Minton, M Veloso
ACM SIGART Bulletin 2 (4), 51-55, 1991
3381991
Prov-dm: The prov data model
L Moreau, P Missier, K Belhajjame, R B’Far, J Cheney, S Coppens, ...
w3c, 2013
2962013
The first provenance challenge
L Moreau, B Ludäscher, I Altintas, RS Barga, S Bowers, S Callahan, ...
Concurrency and computation: practice and experience 20 (5), 409-418, 2008
2762008
Enhancing reproducibility for computational methods
V Stodden, M McNutt, DH Bailey, E Deelman, Y Gil, B Hanson, ...
Science 354 (6317), 1240-1241, 2016
2342016
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