-
1
-
-
22944452794
-
Applying support vector machines to imbalanced datasets
-
Machine Learning: ECML 2004 - 15th European Conference on Machine Learning
-
R. Akbani, S. Kwek, and N. Japkowicz Applying support vector machines to imbalanced datasets J.-F. Boulicaut, F. Esposito, F. Giannotti, D. Pedreschi, Machine Learning ECML Lecture Notes in Computer Science vol. 3201 2004 Springer 39 50 (Pubitemid 41050079)
-
(2004)
Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
, vol.3201
, pp. 39-50
-
-
Akbani, R.1
Kwek, S.2
Japkowicz, N.3
-
2
-
-
0033954256
-
The protein data bank
-
H.M. Berman, J. Westbrook, Z. Feng, G. Gilliland, T.N. Bhat, H. Weissig, I.N. Shindyalov, and P.E. Bourne The protein data bank Nucleic Acids Res. 28 1 2000 235 242 (Pubitemid 30047768)
-
(2000)
Nucleic Acids Research
, vol.28
, Issue.1
, pp. 235-242
-
-
Berman, H.M.1
Westbrook, J.2
Feng, Z.3
Gilliland, G.4
Bhat, T.N.5
Weissig, H.6
Shindyalov, I.N.7
Bourne, P.E.8
-
3
-
-
0017879183
-
The protein data bank: A computer-based archival file for macromolecular structures
-
F.C. Bernstein, T.F. Koetzle, G.J. Williams, E.F. Meyer Jr., M.D. Brice, J.R. Rodgers, O. Kennard, T. Shimanouchi, and M. Tasumi The protein data bank: a computer-based archival file for macromolecular structures Arch. Biochem. Biophys. 185 2 1978 584 591 (Pubitemid 8291122)
-
(1978)
Archives of Biochemistry and Biophysics
, vol.185
, Issue.2
, pp. 584-591
-
-
Bernstein, F.C.1
Koetzle, T.F.2
Williams, G.J.B.3
-
4
-
-
0032479179
-
Anatomy of hot spots in protein interfaces
-
DOI 10.1006/jmbi.1998.1843
-
A.A. Bogan, and K.S. Thorn Anatomy of hot spots in protein interfaces J. Mol. Biol. 280 1998 1 9 (Pubitemid 28312802)
-
(1998)
Journal of Molecular Biology
, vol.280
, Issue.1
, pp. 1-9
-
-
Bogan, A.A.1
Thorn, K.S.2
-
6
-
-
79953742845
-
PPI-SVM: Prediction of protein-protein interactions using machine learning, domain-domain affinities and frequency tables
-
P. Chatterjee, S. Basu, M. Kundu, M. Nasipuri, and D. Plewczynski PPI-SVM: Prediction of protein-protein interactions using machine learning, domain-domain affinities and frequency tables Cell. Mol. Biol. Lett. 16 2 2011 264 278
-
(2011)
Cell. Mol. Biol. Lett.
, vol.16
, Issue.2
, pp. 264-278
-
-
Chatterjee, P.1
Basu, S.2
Kundu, M.3
Nasipuri, M.4
Plewczynski, D.5
-
7
-
-
78049476225
-
Prediction of protein interaction hot spots using rough set-based multiple criteria linear programming
-
R. Chen, Z. Zhang, D. Wu, P. Zhang, X. Zhang, Y. Wang, and Y. Shi Prediction of protein interaction hot spots using rough set-based multiple criteria linear programming J. Theor. Biol. 269 2011 174 180
-
(2011)
J. Theor. Biol.
, vol.269
, pp. 174-180
-
-
Chen, R.1
Zhang, Z.2
Wu, D.3
Zhang, P.4
Zhang, X.5
Wang, Y.6
Shi, Y.7
-
8
-
-
65849158839
-
A feature-based approach to modeling protein-protein interaction hot spots
-
K.I. Cho, D. Kim, and D. Lee A feature-based approach to modeling protein-protein interaction hot spots Nucleic Acids Res. 37 2009 2672 2687
-
(2009)
Nucleic Acids Res.
, vol.37
, pp. 2672-2687
-
-
Cho, K.I.1
Kim, D.2
Lee, D.3
-
9
-
-
0028916599
-
A hot spot of binding energy in a hormone receptor interface
-
T. Clackson, and J.A. Wells A hot spot of binding energy in a hormone receptor interface Science 267 1995 383 386
-
(1995)
Science
, vol.267
, pp. 383-386
-
-
Clackson, T.1
Wells, J.A.2
-
11
-
-
0038355084
-
Fuzzy least squares support vector machines for multiclass problems
-
T. Daisuke, and A. Shigeo Fuzzy least squares support vector machines for multiclass problems Neural Netw. 16 5-6 2003 785 792
-
(2003)
Neural Netw.
, vol.16
, Issue.56
, pp. 785-792
-
-
Daisuke, T.1
Shigeo, A.2
-
12
-
-
34548764386
-
An automated decision-tree approach to predicting protein interaction hot spots
-
DOI 10.1002/prot.21474
-
S.J. Darnell, D. Page, and J.C. Mitchell An automated decision-tree approach to predicting protein interaction hot spots Proteins 68 4 2007 813 823 (Pubitemid 47434706)
-
(2007)
Proteins: Structure, Function and Genetics
, vol.68
, Issue.4
, pp. 813-823
-
-
Darnell, S.J.1
Page, D.2
Mitchell, J.C.3
-
13
-
-
0036469060
-
Unraveling hot spots in binding interfaces: Progress and challenges
-
W.L. DeLano Unraveling hot spots in binding interfaces: progress and challenges Curr. Opin. Struct. Biol. 12 2002 14 20
-
(2002)
Curr. Opin. Struct. Biol.
, vol.12
, pp. 14-20
-
-
Delano, W.L.1
-
14
-
-
34548697717
-
Prediction of protein structure classes with pseudo amino acid composition and fuzzy support vector machine network
-
DOI 10.2174/092986607781483778
-
Y. Ding, T. Zhang, and K. Chou Prediction of protein structure classes with pseudo amino acid composition and fuzzy support vector machine network Protein Pept. Lett. 14 8 2007 811 815 (Pubitemid 47416405)
-
(2007)
Protein and Peptide Letters
, vol.14
, Issue.8
, pp. 811-815
-
-
Ding, Y.-S.1
Zhang, T.-L.2
Chou, K.-C.3
-
15
-
-
84945197353
-
A neural network method to improve prediction of protein-protein interaction sites in heterocomplexes
-
P. Fariselli, A. Zauli, I. Rossi, M. Finelli, P.L. Martelli, and R. Casadio A neural network method to improve prediction of protein-protein interaction sites in heterocomplexes Neural Netw. Sign. Process. 2004 33 41
-
(2004)
Neural Netw. Sign. Process.
, pp. 33-41
-
-
Fariselli, P.1
Zauli, A.2
Rossi, I.3
Finelli, M.4
Martelli, P.L.5
Casadio, R.6
-
16
-
-
0019565499
-
Simple but powerful goal programming models for discriminant problems
-
DOI 10.1016/0377-2217(81)90048-5
-
N. Freed, and F. Glover Simple but powerful goal programming models for discriminant problems Eur. J. Oper. Res. 7 1981 44 60 (Pubitemid 11415067)
-
(1981)
European Journal of Operational Research
, vol.7
, Issue.1
, pp. 44-60
-
-
Freed Ned1
Glover Fred2
-
18
-
-
84985847276
-
Improved linear programming models for discriminant analysis
-
F. Glover Improved linear programming models for discriminant analysis Decision Sci. 21 1990 771 785
-
(1990)
Decision Sci.
, vol.21
, pp. 771-785
-
-
Glover, F.1
-
19
-
-
44349159560
-
Using support vector machine combined with auto covariance to predict protein-protein interactions from protein sequences
-
DOI 10.1093/nar/gkn159
-
Y. Guo, L. Yu, Z. Wen, and M. Li Using support vector machine combined with auto covariance to predict protein-protein interactions from protein sequences Nucleic Acids Res. 36 9 2008 3025 3030 (Pubitemid 351737194)
-
(2008)
Nucleic Acids Research
, vol.36
, Issue.9
, pp. 3025-3030
-
-
Guo, Y.1
Yu, L.2
Wen, Z.3
Li, M.4
-
20
-
-
33746180698
-
Classifications of credit cardholder behavior by using fuzzy linear programming
-
J. He, X. Liu, Y. Shi, W. Xu, and N. Yan Classifications of credit cardholder behavior by using fuzzy linear programming Int. J. Inf. Technol. Decis. Mak. 3 4 2004 633 650
-
(2004)
Int. J. Inf. Technol. Decis. Mak.
, vol.3
, Issue.4
, pp. 633-650
-
-
He, J.1
Liu, X.2
Shi, Y.3
Xu, W.4
Yan, N.5
-
21
-
-
0034213559
-
Conservation of polar residues as hot spots at protein interfaces
-
DOI 10.1002/(SICI)1097-0134(20000601)39:4 <331::AID-PROT60>3.0. CO;2-A
-
Z. Hu, B. Ma, H. Wolfson, and R. Nussinov Conservation of polar residues as hot spots at protein interfaces Proteins 39 2000 331 342 (Pubitemid 30414171)
-
(2000)
Proteins: Structure, Function and Genetics
, vol.39
, Issue.4
, pp. 331-342
-
-
Hu, Z.1
Ma, B.2
Wolfson, H.3
Nussinov, R.4
-
22
-
-
0142052944
-
A bayesian networks approach for predicting protein-protein interactions from genomic data
-
DOI 10.1126/science.1087361
-
R. Jansen et al. A Bayesian networks approach for predicting protein-protein interactions from genomic data Science 302 5644 2003 449 453 (Pubitemid 37296271)
-
(2003)
Science
, vol.302
, Issue.5644
, pp. 449-453
-
-
Jansen, R.1
Yu, H.2
Greenbaum, D.3
Kluger, Y.4
Krogan, N.J.5
Chung, S.6
Emili, A.7
Snyder, M.8
Greenblatt, J.F.9
Gerstein, M.10
-
23
-
-
33745198718
-
Fuzzy SVM with a new fuzzy membership function
-
DOI 10.1007/s00521-006-0028-z
-
X. Jiang, Z. Yi, and C. Jian Fuzzy SVM with a new fuzzy membership function Neural Comput. Appl. 15 3-4 2006 268 276 (Pubitemid 43909928)
-
(2006)
Neural Computing and Applications
, vol.15
, Issue.3-4
, pp. 268-276
-
-
Jiang, X.1
Yi, Z.2
Lv, J.C.3
-
24
-
-
77951182959
-
Improving SVM classification on imbalanced data sets in distance space
-
S. Koknar-Tezel, and L.J. Latecki Improving SVM classification on imbalanced data sets in distance space Data Mining 2009 2009 259 267
-
(2009)
Data Mining
, vol.2009
, pp. 259-267
-
-
Koknar-Tezel, S.1
Latecki, L.J.2
-
26
-
-
40649106290
-
MCLP-based methods for improving "bad" catching rate in credit cardholder behavior analysis
-
A. Li, Y. Shi, and J. He MCLP-based methods for improving "bad" catching rate in credit cardholder behavior analysis Appl. Soft Comput. 8 3 2008 1259 1265
-
(2008)
Appl. Soft Comput.
, vol.8
, Issue.3
, pp. 1259-1265
-
-
Li, A.1
Shi, Y.2
He, J.3
-
27
-
-
7944225979
-
Protein-protein interactions: Hot spots and structurally conserved residues often locate in complemented pockets that pre-organized in the unbound states: Implications for docking
-
DOI 10.1016/j.jmb.2004.09.051, PII S0022283604012070
-
X. Li, O. Keskin, B. Ma, R. Nussinov, and J. Liang Protein-protein interactions: hot spots and structurally conserved residues often locate in complemented pockets that pre-organized in the unbound states: implications for docking J. Mol. Biol. 344 2004 781 795 (Pubitemid 39469220)
-
(2004)
Journal of Molecular Biology
, vol.344
, Issue.3
, pp. 781-795
-
-
Li, X.1
Keskin, O.2
Ma, B.3
Nussinov, R.4
Liang, J.5
-
28
-
-
0036505650
-
Fuzzy support vector machines
-
DOI 10.1109/72.991432, PII S1045922702018076
-
C. Lin, and S. Wang Fuzzy support vector machines IEEE Trans. Neural Netw. 13 2 2002 464 471 (Pubitemid 34475047)
-
(2002)
IEEE Transactions on Neural Networks
, vol.13
, Issue.2
, pp. 464-471
-
-
Lin, C.-F.1
Wang, S.-D.2
-
29
-
-
33845342122
-
Granular computing and rough sets, an incremental development
-
O. Maimon, L. Rokach, Springer
-
T.Y. Lin, and C. Liau Granular computing and rough sets, an incremental development O. Maimon, L. Rokach, Data Mining and Knowledge Discovery Handbook 2005 Springer 535 558
-
(2005)
Data Mining and Knowledge Discovery Handbook
, pp. 535-558
-
-
Lin, T.Y.1
Liau, C.2
-
31
-
-
0037609791
-
Protein-protein interactions: Structurally conserved residues distinguish between binding sites and exposed protein surfaces
-
DOI 10.1073/pnas.1030237100
-
B. Ma, T. Elkayam, H. Wolfson, and R. Nussinov Protein-protein interactions: structurally conserved residues distinguish between binding sites and exposed protein surfaces Proc. Natl. Acad. Sci. U.S.A. 100 2003 5772 5777 (Pubitemid 36576883)
-
(2003)
Proceedings of the National Academy of Sciences of the United States of America
, vol.100
, Issue.10
, pp. 5772-5777
-
-
Ma, B.1
Elkayam, T.2
Wolfson, H.3
Nussinov, R.4
-
32
-
-
34547573955
-
Protein-protein interaction hot spots carved into sequences
-
Y. Ofran, and B. Rost Protein-protein interaction hot spots carved into sequences PLoS Comput. Biol. 3 7 2007 e119
-
(2007)
PLoS Comput. Biol.
, vol.3
, Issue.7
, pp. 119
-
-
Ofran, Y.1
Rost, B.2
-
34
-
-
38649085309
-
Multi-criteria convex quadratic programming model for credit data analysis
-
Y. Peng, G. Kou, Y. Shi, and Z. Chen Multi-criteria convex quadratic programming model for credit data analysis Decis. Support Syst. 44 2008 1016 1030
-
(2008)
Decis. Support Syst.
, Issue.44
, pp. 1016-1030
-
-
Peng, Y.1
Kou, G.2
Shi, Y.3
Chen, Z.4
-
35
-
-
0037332841
-
Rough set methods in feature selection and recognition
-
W.S. Roman, and S. Andrzej Rough set methods in feature selection and recognition Pattern Recogn. Lett. 24 2003 833 849
-
(2003)
Pattern Recogn. Lett.
, vol.24
, pp. 833-849
-
-
Roman, W.S.1
Andrzej, S.2
-
36
-
-
75149183709
-
Virtual screening of bioassay data. Smart Technology Research Centre, Bournemouth University, Talbot Campus, Poole, Dorset, BH12 5BB, UK
-
Schierz, and C. Amanda Virtual screening of bioassay data. Smart Technology Research Centre, Bournemouth University, Talbot Campus, Poole, Dorset, BH12 5BB, UK J. Cheminform. 1 21. 2009
-
(2009)
J. Cheminform.
, vol.1
, Issue.21
-
-
Schierz1
Amanda, C.2
-
37
-
-
12444306275
-
Data mining in credit card portfolio management: A multiple criteria decision making approach
-
Multiple Criteria Decision Making in the New Millennium
-
Y. Shi, M. Wise, M. Luo, and Y. Lin Data mining in credit card portfolio management: a multiple criteria decision making approach M. Koksalan, S. Zionts, Advance in Multiple Criteria Decision Making in the New Millennium 2001 Springer Berlin 427 436 (Pubitemid 33355636)
-
(2001)
Lecture Notes in Economics And Mathematical Systems
, Issue.507
, pp. 427-436
-
-
Shi, Y.1
Wise, M.2
Luo, M.3
Lin, Y.4
-
38
-
-
24144479105
-
Data mining via multiple criteria linear programming: Applications in credit card portfolio management
-
Y. Shi, Y. Peng, W. Xu, and X. Tang Data mining via multiple criteria linear programming: applications in credit card portfolio management Int. J. Inf. Technol. Decis. Mak. 1 2002 131 151
-
(2002)
Int. J. Inf. Technol. Decis. Mak.
, vol.1
, pp. 131-151
-
-
Shi, Y.1
Peng, Y.2
Xu, W.3
Tang, X.4
-
39
-
-
77956686251
-
Multiple criteria optimization based data mining methods and applications: A systematic survey
-
Y. Shi Multiple criteria optimization based data mining methods and applications: a systematic survey Knowl. Inf. Syst. 24 3 2010 369 391
-
(2010)
Knowl. Inf. Syst.
, vol.24
, Issue.3
, pp. 369-391
-
-
Shi, Y.1
-
41
-
-
84894060301
-
Machine learning classifiers for human protein function prediction
-
M. Singh, G. Singh, and K.S. Kahlon Machine learning classifiers for human protein function prediction Int. J. Comput. Sci. Telecommun. 3 10 2012 21 25
-
(2012)
Int. J. Comput. Sci. Telecommun.
, vol.3
, Issue.10
, pp. 21-25
-
-
Singh, M.1
Singh, G.2
Kahlon, K.S.3
-
42
-
-
0003652453
-
-
MIT Press Cambridge, MA
-
A. Smola, P. Bartlett, B. Scholkopf, and D. Schuurmans Advances in Large Margin Classifiers 1999 MIT Press Cambridge, MA 158 180
-
(1999)
Advances in Large Margin Classifiers
, pp. 158-180
-
-
Smola, A.1
Bartlett, P.2
Scholkopf, B.3
Schuurmans, D.4
-
44
-
-
84860876514
-
SVMs modeling for highly imbalanced classification
-
Y. Tang, Y.-Q. Zhang, and N.V. Chawla SVMs modeling for highly imbalanced classification J. LATEX Class Files 1 11 2002 1 9
-
(2002)
J. LATEX Class Files
, vol.1
, Issue.11
, pp. 1-9
-
-
Tang, Y.1
Zhang, Y.-Q.2
Chawla, N.V.3
-
47
-
-
33746446754
-
Feature selection using fuzzy support vector machines
-
DOI 10.1007/s10700-006-7336-8
-
H. Xia, and B. Hu Feature selection using fuzzy support vector machines Fuzzy Optim. Decis. Mak. 5 2006 187 192 (Pubitemid 44124486)
-
(2006)
Fuzzy Optimization and Decision Making
, vol.5
, Issue.2
, pp. 187-192
-
-
Xia, H.1
Hu, B.Q.2
-
48
-
-
59149089263
-
-
ISNN2008, Part I, LNCS 5263 Springer
-
C. Yang, J. Wang, J. Yang, and G. Yu Imbalanced SVM Learning with Margin Compensation ISNN2008, Part I, LNCS 5263 2008 Springer 636 644
-
(2008)
Imbalanced SVM Learning with Margin Compensation
, pp. 636-644
-
-
Yang, C.1
Wang, J.2
Yang, J.3
Yu, G.4
-
50
-
-
60849114074
-
Knowledge acquisition and uncertainty in fault diagonsis
-
E. Triantaphyllou, G Felici, Springer
-
L. Zhai, L. Khoo, and S. Fok Knowledge acquisition and uncertainty in fault diagonsis E. Triantaphyllou, G Felici, Data mining and Knowledge Discovery Approaches based on Rule Induction 2006 Springer 359 394
-
(2006)
Data Mining and Knowledge Discovery Approaches Based on Rule Induction
, pp. 359-394
-
-
Zhai, L.1
Khoo, L.2
Fok, S.3
-
51
-
-
77649164810
-
Yong Shi: Multiple criteria programming models for VIP E-Mail behavior analysis
-
P. Zhang, X. Zhu, and Z. Zhang Yong Shi: multiple criteria programming models for VIP E-Mail behavior analysis Web Intell. Agent Syst. 8 1 2010 69 78
-
(2010)
Web Intell. Agent Syst.
, vol.8
, Issue.1
, pp. 69-78
-
-
Zhang, P.1
Zhu, X.2
Zhang, Z.3
-
52
-
-
78650292628
-
Kernel-based multiple criteria linear programming classifier
-
Z. Zhang, D. Zhang, and Y. Tian Kernel-based multiple criteria linear programming classifier Procedia Comput. Sci. 1 2010 2401 2409
-
(2010)
Procedia Comput. Sci.
, vol.1
, pp. 2401-2409
-
-
Zhang, Z.1
Zhang, D.2
Tian, Y.3
-
53
-
-
84894026474
-
An effective classification approach based on fuzzy set and multiple criteria linear programming
-
Z. Zhang, Y. Shi, and Y. Tian An effective classification approach based on fuzzy set and multiple criteria linear programming J. Data Anal. (Chung-hwa Data Mining Soc.) 4 2 2009 105 122
-
(2009)
J. Data Anal. (Chung-hwa Data Mining Soc.)
, vol.4
, Issue.2
, pp. 105-122
-
-
Zhang, Z.1
Shi, Y.2
Tian, Y.3
-
54
-
-
60849139385
-
A rough set-based multiple criteria linear programming approach for the medical diagnosis and prognosis
-
Z. Zhang, Y. Shi, and G. Gao A rough set-based multiple criteria linear programming approach for the medical diagnosis and prognosis Int. J. Expert Syst. Appl. 36 5 2009 8932 8937
-
(2009)
Int. J. Expert Syst. Appl.
, vol.36
, Issue.5
, pp. 8932-8937
-
-
Zhang, Z.1
Shi, Y.2
Gao, G.3
|