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
55871974
Solution of incorrectly formaulated problems and the regularization method
AN Tikhonov
Dokl. Akad. Nauk. 151, 1035-1038, 1963
37271963
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
28381991
Tracking and data association
Y Bar‐Shalom, TE Fortmann, PG Cable
The journal of the acoustical society of America 87 (2), 918-919, 1990
28121990
Theoretical foundations of the potential function method in pattern recognition learning
MA Aizerman
Automation and remote control 25, 821-837, 1964
22451964
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
15292005
Interpolated estimation of Markov source parameters from sparse data
F Jelinek
Proc. Workshop on Pattern Recognition in Practice, 1980, 1980
12671980
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
1016*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
9272007
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
7342007
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
6892004
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
4551978
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
4302005
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
3901989
Readings in medical artificial intelligence: the first decade
WJ Clancey, EH Shortliffe
Addison-Wesley Longman Publishing Co., Inc., 1984
3901984
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
3271991
Prov-dm: The prov data model
L Moreau, P Missier, K Belhajjame, R B’Far, J Cheney, S Coppens, ...
W3C, 2013
3072013
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
2692008
The cognitive atlas: toward a knowledge foundation for cognitive neuroscience
RA Poldrack, A Kittur, D Kalar, E Miller, C Seppa, Y Gil, DS Parker, ...
Frontiers in neuroinformatics 5, 17, 2011
2232011
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Articles 1–20