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Lin Xu
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SATzilla: portfolio-based algorithm selection for SAT
L Xu, F Hutter, HH Hoos, K Leyton-Brown
Journal of Artificial Intelligence Research 32 (1), 565-606, 2008
10372008
Algorithm runtime prediction: Methods & evaluation
F Hutter, L Xu, HH Hoos, K Leyton-Brown
Artificial Intelligence 206, 79-111, 2014
4742014
Fault diagnosis for rotating machinery using multiple sensors and convolutional neural networks
M Xia, T Li, L Xu, L Liu, CW De Silva
IEEE/ASME transactions on mechatronics 23 (1), 101-110, 2017
4602017
Hydra: Automatically configuring algorithms for portfolio-based selection
L Xu, H Hoos, K Leyton-Brown
Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 210-216, 2010
2182010
SATenstein: Automatically building local search SAT solvers from components
AR KhudaBukhsh, L Xu, HH Hoos, K Leyton-Brown
Artificial Intelligence 232, 20-42, 2016
2102016
SATzilla-07: The design and analysis of an algorithm portfolio for SAT
L Xu, F Hutter, HH Hoos, K Leyton-Brown
Principles and Practice of Constraint Programming–CP 2007: 13th …, 2007
1662007
Evaluating component solver contributions to portfolio-based algorithm selectors
L Xu, F Hutter, H Hoos, K Leyton-Brown
Theory and Applications of Satisfiability Testing–SAT 2012: 15th …, 2012
1192012
Hydra-MIP: Automated algorithm configuration and selection for mixed integer programming
L Xu, F Hutter, HH Hoos, K Leyton-Brown
RCRA workshop on experimental evaluation of algorithms for solving problems …, 2011
1162011
A new efficient algorithm for solving the simple temporal problem
L Xu, BY Choueiry
1102003
SATzilla2012: Improved algorithm selection based on cost-sensitive classification models
L Xu, F Hutter, J Shen, HH Hoos, K Leyton-Brown
Proceedings of SAT Challenge, 57-58, 2012
1032012
Intelligent fault diagnosis approach with unsupervised feature learning by stacked denoising autoencoder
M Xia, T Li, L Liu, L Xu, CW de Silva
IET Science, Measurement & Technology 11 (6), 687-695, 2017
962017
SATzilla2009: an automatic algorithm portfolio for SAT
L Xu, F Hutter, HH Hoos, K Leyton-Brown
SAT 4, 53-55, 2009
692009
Hierarchical hardness models for SAT
L Xu, HH Hoos, K Leyton-Brown
Principles and Practice of Constraint Programming–CP 2007: 13th …, 2007
642007
Understanding the empirical hardness of NP-complete problems
K Leyton-Brown, HH Hoos, F Hutter, L Xu
Communications of the ACM 57 (5), 98-107, 2014
512014
Predicting satisfiability at the phase transition
L Xu, H Hoos, K Leyton-Brown
Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 584-590, 2012
282012
Colorectal cancer detection based on deep learning
L Xu, B Walker, PI Liang, Y Tong, C Xu, YC Su, A Karsan
Journal of Pathology Informatics 11 (1), 28, 2020
262020
Algorithm runtime prediction: The state of the art
F Hutter, L Xu, HH Hoos, K Leyton-Brown
CoRR, abs/1211.0906 11, 2012
252012
Features for SAT
L Xu, F Hutter, H Hoos, K Leyton-Brown
University of British Columbia,, Tech. Rep, 2012
232012
Remaining useful life prediction of rotating machinery using hierarchical deep neural network
M Xia, T Li, L Liu, L Xu, S Gao, CW De Silva
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017
122017
An efficient consistency algorithm for the temporal constraint satisfaction problem
BY Choueiry, L Xu
AI Communications 17 (4), 213-221, 2004
122004
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