Yolanda Gil
Title
Cited by
Cited by
Year
Beyond regression:" new tools for prediction and analysis in the behavioral sciences
P Werbos
Ph. D. dissertation, Harvard University, 1974
54911974
Solution of incorrectly formaulated problems and the regularization method
AN Tikhonov
Dokl. Akad. Nauk. 151, 1035-1038, 1963
36661963
Tracking and data association
Y Bar‐Shalom, TE Fortmann, PG Cable
The journal of the acoustical society of America 87 (2), 918-919, 1990
28371990
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
28131991
Theoretical foundations of the potential function method in pattern recognition learning
MA Aizerman
Automation and remote control 25, 821-837, 1964
22151964
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
15152005
Interpolated estimation of Markov source parameters from sparse data
F Jelinek
Proc. Workshop on Pattern Recognition in Practice, 1980, 1980
12591980
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
1003*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
9162007
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
7222007
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
6802004
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
6422003
Naming, necessity, and natural kinds
SP Schwartz
4471978
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
4262005
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
3881989
Readings in medical artificial intelligence: the first decade
WJ Clancey, EH Shortliffe
Addison-Wesley Longman Publishing Co., Inc., 1984
3881984
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
3261991
Prov-dm: The prov data model
L Moreau, P Missier, K Belhajjame, R B’Far, J Cheney, S Coppens, ...
W3C, 2013
2992013
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
2652008
Towards content trust of web resources
Y Gil, D Artz
Journal of Web Semantics 5 (4), 227-239, 2007
2162007
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Articles 1–20