-
3
-
-
79951829331
-
KEEL data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework
-
J. Alcalá-Fdez, A. Fernández, J. Luengo, J. Derrac, S. García, L. Sánchez, and F. Herrera KEEL data-mining software tool: data set repository, integration of algorithms and experimental analysis framework Journal of Multi-Valued Logic and Soft Computing 17 2-3 2011 255 287
-
(2011)
Journal of Multi-Valued Logic and Soft Computing
, vol.17
, Issue.23
, pp. 255-287
-
-
Alcalá-Fdez, J.1
Fernández, A.2
Luengo, J.3
Derrac, J.4
García, S.5
Sánchez, L.6
Herrera, F.7
-
4
-
-
55549103698
-
KEEL: A software tool to assess evolutionary algorithms for data mining problems
-
J. Alcalá;-Fdez, L. Sánchez, S. García, M.J. del Jesus, S. Ventura, J.M. Garrell, J. Otero, C. Romero, J. Bacardit, V.M. Rivas, J.C. Fernández, and F. Herrera KEEL: a software tool to assess evolutionary algorithms for data mining problems Soft Computing 13 2009 307 318
-
(2009)
Soft Computing
, vol.13
, pp. 307-318
-
-
Alcalá-Fdez, J.1
Sánchez, L.2
García, S.3
Del Jesus, M.J.4
Ventura, S.5
Garrell, J.M.6
Otero, J.7
Romero, C.8
Bacardit, J.9
Rivas, V.M.10
Fernández, J.C.11
Herrera, F.12
-
5
-
-
78449268828
-
An approach for classification of highly imbalanced data using weighting and undersampling
-
A. Anand, G. Pugalenthi, G.B. Fogel, and P.N. Suganthan An approach for classification of highly imbalanced data using weighting and undersampling Amino Acids 39 5 2010 1385 1391
-
(2010)
Amino Acids
, vol.39
, Issue.5
, pp. 1385-1391
-
-
Anand, A.1
Pugalenthi, G.2
Fogel, G.B.3
Suganthan, P.N.4
-
7
-
-
0036522693
-
Strategies for learning in class imbalance problems
-
R. Barandela, J.S. Sánchez, V. García, and E. Rangel Strategies for learning in class imbalance problems Pattern Recognition 36 3 2003 849 851
-
(2003)
Pattern Recognition
, vol.36
, Issue.3
, pp. 849-851
-
-
Barandela, R.1
Sánchez, J.S.2
García, V.3
Rangel, E.4
-
9
-
-
27144531570
-
A study of the behaviour of several methods for balancing machine learning training data
-
G.E.A.P.A. Batista, R.C. Prati, and M.C. Monard A study of the behaviour of several methods for balancing machine learning training data SIGKDD Explorations 6 1 2004 20 29
-
(2004)
SIGKDD Explorations
, vol.6
, Issue.1
, pp. 20-29
-
-
Batista, G.E.A.P.A.1
Prati, R.C.2
Monard, M.C.3
-
11
-
-
64549116289
-
MicroPred: Effective classification of pre-miRNAs for human miRNA gene prediction
-
R. Batuwita, and V. Palade microPred: effective classification of pre-miRNAs for human miRNA gene prediction Bioinformatics 25 8 2009 989 995
-
(2009)
Bioinformatics
, vol.25
, Issue.8
, pp. 989-995
-
-
Batuwita, R.1
Palade, V.2
-
13
-
-
77953089698
-
FSVM-CIL: Fuzzy support vector machines for class imbalance learning
-
R. Batuwita, and V. Palade FSVM-CIL: fuzzy support vector machines for class imbalance learning IEEE Transactions on Fuzzy Systems 18 3 2010 558 571
-
(2010)
IEEE Transactions on Fuzzy Systems
, vol.18
, Issue.3
, pp. 558-571
-
-
Batuwita, R.1
Palade, V.2
-
14
-
-
84857022489
-
Adjusted geometric-mean: A novel performance measure for imbalanced bioinformatics datasets learning
-
R. Batuwita, and V. Palade Adjusted geometric-mean: a novel performance measure for imbalanced bioinformatics datasets learning Journal of Bioinformatics and Computational Biology 10 4 2012
-
(2012)
Journal of Bioinformatics and Computational Biology
, vol.10
, Issue.4
-
-
Batuwita, R.1
Palade, V.2
-
15
-
-
85076265982
-
Class imbalance learning methods for support vector machines
-
H. He, Y. Ma, Wiley
-
R. Batuwita, and V. Palade Class imbalance learning methods for support vector machines H. He, Y. Ma, Imbalanced Learning: Foundations, Algorithms, and Applications 2013 Wiley 83 96
-
(2013)
Imbalanced Learning: Foundations, Algorithms, and Applications
, pp. 83-96
-
-
Batuwita, R.1
Palade, V.2
-
17
-
-
79956285606
-
Integrating selective pre-processing of imbalanced data with ivotes ensemble
-
M. Szczuka, M. Kryszkiewicz, S. Ramanna, R. Jensen, Q. Hu, LNSC Springer Berlin/Heidelberg
-
J. Błaszczyński, M. Deckert, J. Stefanowski, and S. Wilk Integrating selective pre-processing of imbalanced data with ivotes ensemble M. Szczuka, M. Kryszkiewicz, S. Ramanna, R. Jensen, Q. Hu, Rough Sets and Current Trends in Computing LNSC vol. 6086 2010 Springer Berlin/Heidelberg 148 157
-
(2010)
Rough Sets and Current Trends in Computing
, vol.6086 VOL.
, pp. 148-157
-
-
Błaszczyński, J.1
Deckert, M.2
Stefanowski, J.3
Wilk, S.4
-
18
-
-
84957107950
-
Pruning decision trees with misclassification costs
-
J.P. Bradford, C. Kunz, R. Kohavi, C. Brunk, C.E. Brodley, Pruning decision trees with misclassification costs, in: Proceedings of the 10th European Conference on Machine Learning (ECML'98), 1998, pp. 131-136.
-
(1998)
Proceedings of the 10th European Conference on Machine Learning (ECML'98)
, pp. 131-136
-
-
Bradford, J.P.1
Kunz, C.2
Kohavi, R.3
Brunk, C.4
Brodley, C.E.5
-
19
-
-
0031191630
-
The use of the area under the roc curve in the evaluation of machine learning algorithms
-
A.P. Bradley The use of the area under the roc curve in the evaluation of machine learning algorithms Pattern Recognition 30 7 1997 1145 1159
-
(1997)
Pattern Recognition
, vol.30
, Issue.7
, pp. 1145-1159
-
-
Bradley, A.P.1
-
24
-
-
2442682055
-
A hybrid decision tree/genetic algorithm method for data mining
-
D.R. Carvalho, and A.A. Freitas A hybrid decision tree/genetic algorithm method for data mining Information Sciences 163 1-3 2004 13 35
-
(2004)
Information Sciences
, vol.163
, Issue.13
, pp. 13-35
-
-
Carvalho, D.R.1
Freitas, A.A.2
-
26
-
-
0344271699
-
Statistical learning for effective visual information retrieval
-
E.Y. Chang, B. Li, G. Wu, K. Goh, Statistical learning for effective visual information retrieval, in: Proceedings of the 2003 International Conference on Image Processing (ICIP'03), vol. 3, 2003, pp. 609-612.
-
(2003)
Proceedings of the 2003 International Conference on Image Processing (ICIP'03)
, vol.3
, pp. 609-612
-
-
Chang, E.Y.1
Li, B.2
Wu, G.3
Goh, K.4
-
28
-
-
50549101751
-
Automatically countering imbalance and its empirical relationship to cost
-
N.V. Chawla, D.A. Cieslak, L.O. Hall, and A. Joshi Automatically countering imbalance and its empirical relationship to cost Data Mining and Knowledge Discovery 17 2 2008 225 252
-
(2008)
Data Mining and Knowledge Discovery
, vol.17
, Issue.2
, pp. 225-252
-
-
Chawla, N.V.1
Cieslak, D.A.2
Hall, L.O.3
Joshi, A.4
-
29
-
-
27144549260
-
Editorial: Special issue on learning from imbalanced data sets
-
N.V. Chawla, N. Japkowicz, and A. Kotcz Editorial: special issue on learning from imbalanced data sets SIGKDD Explorations 6 1 2004 1 6
-
(2004)
SIGKDD Explorations
, vol.6
, Issue.1
, pp. 1-6
-
-
Chawla, N.V.1
Japkowicz, N.2
Kotcz, A.3
-
30
-
-
9444297357
-
SMOTEBoost: Improving prediction of the minority class in boosting
-
N.V. Chawla, A. Lazarevic, L.O. Hall, K.W. Bowyer, SMOTEBoost: Improving prediction of the minority class in boosting, in: Proceedings of 7th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'03), 2003, pp. 107-119.
-
(2003)
Proceedings of 7th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'03)
, pp. 107-119
-
-
Chawla, N.V.1
Lazarevic, A.2
Hall, L.O.3
Bowyer, K.W.4
-
31
-
-
78650905163
-
Graph-based feature selection for object-oriented classification in VHR airborne imagery
-
X. Chen, T. Fang, H. Huo, and D. Li Graph-based feature selection for object-oriented classification in VHR airborne imagery IEEE Transactions on Geoscience and Remote Sensing 49 1 2011 353 365
-
(2011)
IEEE Transactions on Geoscience and Remote Sensing
, vol.49
, Issue.1
, pp. 353-365
-
-
Chen, X.1
Fang, T.2
Huo, H.3
Li, D.4
-
32
-
-
44649133282
-
Analyzing pets on imbalanced datasets when training and testing class distributions differ
-
Osaka, Japan
-
D.A. Cieslak, N.V. Chawla, Analyzing pets on imbalanced datasets when training and testing class distributions differ, in: Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD08). Osaka, Japan, 2008, pp. 519-526.
-
(2008)
Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD08)
, pp. 519-526
-
-
Cieslak, D.A.1
Chawla, N.V.2
-
33
-
-
58549104329
-
A framework for monitoring classifiers' performance: When and why failure occurs?
-
D.A. Cieslak, and N.V. Chawla A framework for monitoring classifiers' performance: when and why failure occurs? Knowledge and Information Systems 18 1 2009 83 108
-
(2009)
Knowledge and Information Systems
, vol.18
, Issue.1
, pp. 83-108
-
-
Cieslak, D.A.1
Chawla, N.V.2
-
34
-
-
33646107181
-
Learning from imbalanced data in surveillance of nosocomial infection
-
G. Cohen, M. Hilario, H. Sax, S. Hugonnet, and A. Geissbuhler Learning from imbalanced data in surveillance of nosocomial infection Artificial Intelligence in Medicine 37 2006 7 18
-
(2006)
Artificial Intelligence in Medicine
, vol.37
, pp. 7-18
-
-
Cohen, G.1
Hilario, M.2
Sax, H.3
Hugonnet, S.4
Geissbuhler, A.5
-
37
-
-
77953752546
-
Overlap versus imbalance
-
M. Denil, T. Trappenberg, Overlap versus imbalance, in: Proceedings of the 23rd Canadian Conference on Advances in Artificial Intelligence (CCAI'10), Lecture Notes on Artificial Intelligence, vol. 6085, 2010, pp. 220-231.
-
(2010)
Proceedings of the 23rd Canadian Conference on Advances in Artificial Intelligence (CCAI'10), Lecture Notes on Artificial Intelligence
, vol.6085
, pp. 220-231
-
-
Denil, M.1
Trappenberg, T.2
-
39
-
-
69649092809
-
Evolutionary sampling and software quality modeling of high-assurance systems
-
D.J. Drown, T.M. Khoshgoftaar, and N. Seliya Evolutionary sampling and software quality modeling of high-assurance systems IEEE Transactions on Systems, Man, and Cybernetics, Part A 39 5 2009 1097 1107
-
(2009)
IEEE Transactions on Systems, Man, and Cybernetics, Part A
, vol.39
, Issue.5
, pp. 1097-1107
-
-
Drown, D.J.1
Khoshgoftaar, T.M.2
Seliya, N.3
-
40
-
-
33748991193
-
Cost curves: An improved method for visualizing classifier performance
-
C. Drummond, and R.C. Holte Cost curves: an improved method for visualizing classifier performance Machine Learning 65 1 2006 95 130
-
(2006)
Machine Learning
, vol.65
, Issue.1
, pp. 95-130
-
-
Drummond, C.1
Holte, R.C.2
-
41
-
-
77952875468
-
Multi-objective genetic fuzzy classifiers for imbalanced and cost-sensitive datasets
-
P. Ducange, B. Lazzerini, and F. Marcelloni Multi-objective genetic fuzzy classifiers for imbalanced and cost-sensitive datasets Soft Computing 14 7 2010 713 728
-
(2010)
Soft Computing
, vol.14
, Issue.7
, pp. 713-728
-
-
Ducange, P.1
Lazzerini, B.2
Marcelloni, F.3
-
43
-
-
1442356040
-
A multiple resampling method for learning from imbalanced data sets
-
A. Estabrooks, T. Jo, and N. Japkowicz A multiple resampling method for learning from imbalanced data sets Computational Intelligence 20 1 2004 18 36
-
(2004)
Computational Intelligence
, vol.20
, Issue.1
, pp. 18-36
-
-
Estabrooks, A.1
Jo, T.2
Japkowicz, N.3
-
44
-
-
0013316935
-
Adacost: Misclassification cost-sensitive boosting
-
Morgan Kaufmann Publishers Inc. San Francisco, CA, USA
-
W. Fan, S.J. Stolfo, J. Zhang, and P.K. Chan Adacost: misclassification cost-sensitive boosting Proceedings of the 16th International Conference on Machine Learning (ICML'96) 1999 Morgan Kaufmann Publishers Inc. San Francisco, CA, USA 97 105
-
(1999)
Proceedings of the 16th International Conference on Machine Learning (ICML'96)
, pp. 97-105
-
-
Fan, W.1
Stolfo, S.J.2
Zhang, J.3
Chan, P.K.4
-
45
-
-
75149159107
-
On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets
-
A. Fernández, M.J. del Jesus, and F. Herrera On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets Information Sciences 180 8 2010 1268 1291
-
(2010)
Information Sciences
, vol.180
, Issue.8
, pp. 1268-1291
-
-
Fernández, A.1
Del Jesus, M.J.2
Herrera, F.3
-
46
-
-
46849096083
-
A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets
-
A. Fernández, S. García, M.J. del Jesus, and F. Herrera A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets Fuzzy Sets and Systems 159 18 2008 2378 2398
-
(2008)
Fuzzy Sets and Systems
, vol.159
, Issue.18
, pp. 2378-2398
-
-
Fernández, A.1
García, S.2
Del Jesus, M.J.3
Herrera, F.4
-
47
-
-
78649815360
-
Genetics-based machine learning for rule induction: State of the art, taxonomy and comparative study
-
A. Fernandez, S. García, J. Luengo, E. Bernadó-Mansilla, and F. Herrera Genetics-based machine learning for rule induction: state of the art, taxonomy and comparative study IEEE Transactions on Evolutionary Computation 14 6 2010 913 941
-
(2010)
IEEE Transactions on Evolutionary Computation
, vol.14
, Issue.6
, pp. 913-941
-
-
Fernandez, A.1
García, S.2
Luengo, J.3
Bernadó-Mansilla, E.4
Herrera, F.5
-
48
-
-
84874667219
-
Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches
-
A. Fernández, V. López, M. Galar, M.J. del Jesus, and F. Herrera Analysing the classification of imbalanced data-sets with multiple classes: binarization techniques and ad-hoc approaches Knowledge-Based Systems 42 2013 97 110
-
(2013)
Knowledge-Based Systems
, vol.42
, pp. 97-110
-
-
Fernández, A.1
López, V.2
Galar, M.3
Del Jesus, M.J.4
Herrera, F.5
-
49
-
-
0030362553
-
Lazy decision trees
-
J.H. Friedman, R. Kohavi, Y. Yun, Lazy decision trees, in: Proceedings of the AAAI/IAAI, vol. 1, 1996, pp. 717-724.
-
(1996)
Proceedings of the AAAI/IAAI
, vol.1
, pp. 717-724
-
-
Friedman, J.H.1
Kohavi, R.2
Yun, Y.3
-
50
-
-
84862515469
-
A review on ensembles for class imbalance problem: Bagging, boosting and hybrid based approaches
-
M. Galar, A. Fernández, E. Barrenechea, H. Bustince, and F. Herrera A review on ensembles for class imbalance problem: bagging, boosting and hybrid based approaches IEEE Transactions on Systems, Man, and Cybernetics - part C: Applications and Reviews 42 4 2012 463 484
-
(2012)
IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications and Reviews
, vol.42
, Issue.4
, pp. 463-484
-
-
Galar, M.1
Fernández, A.2
Barrenechea, E.3
Bustince, H.4
Herrera, F.5
-
51
-
-
80052414830
-
Evolutionary-based selection of generalized instances for imbalanced classification
-
S. García, J. Derrac, I. Triguero, C.J. Carmona, and F. Herrera Evolutionary-based selection of generalized instances for imbalanced classification Knowledge Based Systems 25 1 2012 3 12
-
(2012)
Knowledge Based Systems
, vol.25
, Issue.1
, pp. 3-12
-
-
García, S.1
Derrac, J.2
Triguero, I.3
Carmona, C.J.4
Herrera, F.5
-
52
-
-
68849109676
-
Enhancing the effectiveness and interpretability of decision tree and rule induction classifiers with evolutionary training set selection over imbalanced problems
-
S. García, A. Fernández, and F. Herrera Enhancing the effectiveness and interpretability of decision tree and rule induction classifiers with evolutionary training set selection over imbalanced problems Applied Soft Computing 9 2009 1304 1314
-
(2009)
Applied Soft Computing
, vol.9
, pp. 1304-1314
-
-
García, S.1
Fernández, A.2
Herrera, F.3
-
53
-
-
70349617264
-
Evolutionary under-sampling for classification with imbalanced data sets: Proposals and taxonomy
-
S. García, and F. Herrera Evolutionary under-sampling for classification with imbalanced data sets: proposals and taxonomy Evolutionary Computation 17 3 2009 275 306
-
(2009)
Evolutionary Computation
, vol.17
, Issue.3
, pp. 275-306
-
-
García, S.1
Herrera, F.2
-
54
-
-
58349099658
-
A new performance evaluation method for two-class imbalanced problems
-
V. García, R.A. Mollineda, J.S. Sánchez, A new performance evaluation method for two-class imbalanced problems, in: Proceedings of the Structural and Syntactic Pattern Recognition (SSPR'08) and Statistical Techniques in Pattern Recognition (SPR'08), Lecture Notes on Computer Science, vol. 5342, 2008, pp. 917-925.
-
(2008)
Proceedings of the Structural and Syntactic Pattern Recognition (SSPR'08) and Statistical Techniques in Pattern Recognition (SPR'08), Lecture Notes on Computer Science
, vol.5342
, pp. 917-925
-
-
García, V.1
-
55
-
-
50549093573
-
On the k-NN performance in a challenging scenario of imbalance and overlapping
-
V. García, R.A. Mollineda, and J.S. Sánchez On the k-NN performance in a challenging scenario of imbalance and overlapping Pattern Analysis Applications 11 3-4 2008 269 280
-
(2008)
Pattern Analysis Applications
, vol.11
, Issue.34
, pp. 269-280
-
-
García, V.1
Mollineda, R.A.2
Sánchez, J.S.3
-
56
-
-
78149483936
-
Theoretical analysis of a performance measure for imbalanced data
-
V. García, R.A. Mollineda, J.S. Sánchez, Theoretical analysis of a performance measure for imbalanced data, in: 20th International Conference on Pattern Recognition (ICPR'10), 2010, pp. 617-620.
-
(2010)
20th International Conference on Pattern Recognition (ICPR'10)
, pp. 617-620
-
-
García, V.1
-
58
-
-
80052394779
-
On the effectiveness of preprocessing methods when dealing with different levels of class imbalance
-
V. García, J.S. Sánchez, and R.A. Mollineda On the effectiveness of preprocessing methods when dealing with different levels of class imbalance Knowledge Based Systems 25 1 2012 13 21
-
(2012)
Knowledge Based Systems
, vol.25
, Issue.1
, pp. 13-21
-
-
García, V.1
Sánchez, J.S.2
Mollineda, R.A.3
-
59
-
-
80052415991
-
Class imbalance methods for translation initiation site recognition in DNA sequences
-
N. García-Pedrajas, J. Pérez-Rodríguez, M. García-Pedrajas, D. Ortiz-Boyer, and C. Fyfe Class imbalance methods for translation initiation site recognition in DNA sequences Knowledge Based Systems 25 1 2012 22 34
-
(2012)
Knowledge Based Systems
, vol.25
, Issue.1
, pp. 22-34
-
-
García-Pedrajas, N.1
Pérez-Rodríguez, J.2
García-Pedrajas, M.3
Ortiz-Boyer, D.4
Fyfe, C.5
-
60
-
-
80052660213
-
An adversarial view of covariate shift and a minimax approach
-
J. Quiñonero Candela, M. Sugiyama, A. Schwaighofer, N.D. Lawrence, The MIT Press
-
A. Globerson, C.H. Teo, A. Smola, and S. Roweis An adversarial view of covariate shift and a minimax approach J. Quiñonero Candela, M. Sugiyama, A. Schwaighofer, N.D. Lawrence, Dataset Shift in Machine Learning 2009 The MIT Press 179 198
-
(2009)
Dataset Shift in Machine Learning
, pp. 179-198
-
-
Globerson, A.1
Teo, C.H.2
Smola, A.3
Roweis, S.4
-
61
-
-
27144479454
-
Learning from imbalanced data sets with boosting and data generation: The DataBoost-IM approach
-
H. Guo, and H.L. Viktor Learning from imbalanced data sets with boosting and data generation: the DataBoost-IM approach SIGKDD Explorations Newsletter 6 2004 30 39
-
(2004)
SIGKDD Explorations Newsletter
, vol.6
, pp. 30-39
-
-
Guo, H.1
Viktor, H.L.2
-
62
-
-
76749092270
-
The WEKA data mining software: An update
-
M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I.H. Witten The WEKA data mining software: an update SIGKDD Explorations 11 1 2009 10 18
-
(2009)
SIGKDD Explorations
, vol.11
, Issue.1
, pp. 10-18
-
-
Hall, M.1
Frank, E.2
Holmes, G.3
Pfahringer, B.4
Reutemann, P.5
Witten, I.H.6
-
63
-
-
27144501672
-
Borderline-SMOTE: A new over-sampling method in imbalanced data sets learning
-
H. Han, W.Y. Wang, B.H. Mao, Borderline-SMOTE: a new over-sampling method in imbalanced data sets learning, in: Proceedings of the 2005 International Conference on Intelligent Computing (ICIC'05), Lecture Notes in Computer Science, vol. 3644, 2005, pp. 878-887.
-
(2005)
Proceedings of the 2005 International Conference on Intelligent Computing (ICIC'05), Lecture Notes in Computer Science
, vol.3644
, pp. 878-887
-
-
Han, H.1
Wang, W.Y.2
Mao, B.H.3
-
65
-
-
56349089205
-
ADASYN: Adaptive synthetic sampling approach for imbalanced learning
-
H. He, Y. Bai, E.A. Garcia, S. Li, ADASYN: adaptive synthetic sampling approach for imbalanced learning, in: Proceedings of the 2008 IEEE International Joint Conference on Neural Networks (IJCNN'08), 2008, pp. 1322-1328.
-
(2008)
Proceedings of the 2008 IEEE International Joint Conference on Neural Networks (IJCNN'08)
, pp. 1322-1328
-
-
He, H.1
Bai, Y.2
Garcia, E.A.3
Li, S.4
-
68
-
-
0002448383
-
Concept learning and the problem of small disjuncts
-
R.C. Holte, L. Acker, B.W. Porter, Concept learning and the problem of small disjuncts, in: Proceedings of the International Joint Conferences on Artificial Intelligence, IJCAI'89, 1989, pp. 813-818.
-
(1989)
Proceedings of the International Joint Conferences on Artificial Intelligence, IJCAI'89
, pp. 813-818
-
-
Holte, R.C.1
Acker, L.2
Porter, B.W.3
-
69
-
-
77950231896
-
MSMOTE: Improving classification performance when training data is imbalanced
-
S. Hu, Y. Liang, L. Ma, Y. He, MSMOTE: improving classification performance when training data is imbalanced, in: Proceedings of the 2nd International Workshop on Computer Science and Engineering (WCSE'09), vol. 2, 2009, pp. 13-17.
-
(2009)
Proceedings of the 2nd International Workshop on Computer Science and Engineering (WCSE'09)
, vol.2
, pp. 13-17
-
-
Hu, S.1
Liang, Y.2
Ma, L.3
He, Y.4
-
71
-
-
84949479983
-
Concept-learning in the presence of between-class and within-class imbalances
-
E. Stroulia, S. Matwin, Lecture Notes in Computer Science Springer
-
N. Japkowicz Concept-learning in the presence of between-class and within-class imbalances E. Stroulia, S. Matwin, Proceedings of the 14th Canadian Conference on Advances in Artificial Intelligence (CCAI'08) Lecture Notes in Computer Science vol. 2056 2001 Springer 67 77
-
(2001)
Proceedings of the 14th Canadian Conference on Advances in Artificial Intelligence (CCAI'08)
, vol.2056 VOL.
, pp. 67-77
-
-
Japkowicz, N.1
-
74
-
-
51649085353
-
Evaluating boosting algorithms to classify rare classes: Comparison and improvements
-
IEEE Computer Society Washington, DC, USA
-
M.V. Joshi, V. Kumar, and R.C. Agarwal Evaluating boosting algorithms to classify rare classes: comparison and improvements Proceedings of the 2001 IEEE International Conference on Data Mining (ICDM'01) 2001 IEEE Computer Society Washington, DC, USA 257 264
-
(2001)
Proceedings of the 2001 IEEE International Conference on Data Mining (ICDM'01)
, pp. 257-264
-
-
Joshi, M.V.1
Kumar, V.2
Agarwal, R.C.3
-
75
-
-
79955468283
-
Comparing boosting and bagging techniques with noisy and imbalanced data
-
T.M. Khoshgoftaar, J. Van Hulse, and A. Napolitano Comparing boosting and bagging techniques with noisy and imbalanced data IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans 41 3 2011 552 568
-
(2011)
IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans
, vol.41
, Issue.3
, pp. 552-568
-
-
Khoshgoftaar, T.M.1
Van Hulse, J.2
Napolitano, A.3
-
77
-
-
84892854554
-
A weighted voting framework for classifiers ensembles
-
10.1007/s10115-012-0586-6 in press
-
L.I. Kuncheva, and J.J. Rodrguez A weighted voting framework for classifiers ensembles Knowledge and Information Systems 2013 10.1007/s10115-012-0586-6 in press
-
(2013)
Knowledge and Information Systems
-
-
Kuncheva, L.I.1
Rodrguez, J.J.2
-
78
-
-
38349102533
-
Feature extraction for classification problems and its application to face recognition
-
N. Kwak Feature extraction for classification problems and its application to face recognition Pattern Recognition 41 5 2008 1718 1734
-
(2008)
Pattern Recognition
, vol.41
, Issue.5
, pp. 1718-1734
-
-
Kwak, N.1
-
80
-
-
34248390180
-
Classifying imbalanced data using a bagging ensemble variation (BEV)
-
ACM-SE ACM New York, NY, USA
-
C. Li Classifying imbalanced data using a bagging ensemble variation (BEV) Proceedings of the 45th Annual Southeast Regional Conference vol. 45 2007 ACM-SE ACM New York, NY, USA 203 208
-
(2007)
Proceedings of the 45th Annual Southeast Regional Conference
, vol.45 VOL.
, pp. 203-208
-
-
Li, C.1
-
81
-
-
84875898112
-
Dynamic sampling approach to training neural networks for multiclass imbalance classification
-
M. Lin, K. Tang, and X. Yao Dynamic sampling approach to training neural networks for multiclass imbalance classification IEEE Transactions on Neural Networks and Learning Systems 24 4 2013 647 660
-
(2013)
IEEE Transactions on Neural Networks and Learning Systems
, vol.24
, Issue.4
, pp. 647-660
-
-
Lin, M.1
Tang, K.2
Yao, X.3
-
82
-
-
84872812260
-
Class-imbalanced classifiers for high-dimensional data
-
W. Lin, and J.J. Chen Class-imbalanced classifiers for high-dimensional data Briefings in Bioinformatics 14 1 2013 13 26
-
(2013)
Briefings in Bioinformatics
, vol.14
, Issue.1
, pp. 13-26
-
-
Lin, W.1
Chen, J.J.2
-
84
-
-
14344258878
-
Decision trees with minimal costs
-
C.E. Brodley, ACM International Conference Proceeding Series ACM
-
C.X. Ling, Q. Yang, J. Wang, and S. Zhang Decision trees with minimal costs C.E. Brodley, Proceedings of the 21st International Conference on Machine Learning (ICML'04) ACM International Conference Proceeding Series vol. 69 2004 ACM 69 77
-
(2004)
Proceedings of the 21st International Conference on Machine Learning (ICML'04)
, vol.69 VOL.
, pp. 69-77
-
-
Ling, C.X.1
Yang, Q.2
Wang, J.3
Zhang, S.4
-
85
-
-
64049108468
-
Exploratory undersampling for class-imbalance learning
-
X.-Y. Liu, J. Wu, and Z.-H. Zhou Exploratory undersampling for class-imbalance learning IEEE Transactions on System, Man and Cybernetics B 39 2 2009 539 550
-
(2009)
IEEE Transactions on System, Man and Cybernetics B
, vol.39
, Issue.2
, pp. 539-550
-
-
Liu, X.-Y.1
Wu, J.2
Zhou, Z.-H.3
-
86
-
-
75149154623
-
Learning to improve area-under-FROC for imbalanced medical data classification using an ensemble method
-
H.-Y. Lo, C.-M. Chang, T.-H. Chiang, C.-Y. Hsiao, A. Huang, T.-T. Kuo, W.-C. Lai, M.-H. Yang, J.-J. Yeh, C.-C. Yen, and S.-D. Lin Learning to improve area-under-FROC for imbalanced medical data classification using an ensemble method SIGKDD Explorations 10 2 2008 43 46
-
(2008)
SIGKDD Explorations
, vol.10
, Issue.2
, pp. 43-46
-
-
Lo, H.-Y.1
Chang, C.-M.2
Chiang, T.-H.3
Hsiao, C.-Y.4
Huang, A.5
Kuo, T.-T.6
Lai, W.-C.7
Yang, M.-H.8
Yeh, J.-J.9
Yen, C.-C.10
Lin, S.-D.11
-
87
-
-
84871621085
-
A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets
-
V. López, A. Fernández, M.J. del Jesus, and F. Herrera A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets Knowledge-Based Systems 38 2013 85 104
-
(2013)
Knowledge-Based Systems
, vol.38
, pp. 85-104
-
-
López, V.1
Fernández, A.2
Del Jesus, M.J.3
Herrera, F.4
-
88
-
-
84856964446
-
Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. open problems on intrinsic data characteristics
-
V. López, A. Fernández, J.G. Moreno-Torres, and F. Herrera Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. open problems on intrinsic data characteristics Expert Systems with Applications 39 7 2012 6585 6608
-
(2012)
Expert Systems with Applications
, vol.39
, Issue.7
, pp. 6585-6608
-
-
López, V.1
Fernández, A.2
Moreno-Torres, J.G.3
Herrera, F.4
-
89
-
-
79957915328
-
Addressing data complexity for imbalanced data sets: Analysis of SMOTE-based oversampling and evolutionary undersampling
-
J. Luengo, A. Fernández, S. García, and F. Herrera Addressing data complexity for imbalanced data sets: analysis of SMOTE-based oversampling and evolutionary undersampling Soft Computing 15 10 2011 1909 1936
-
(2011)
Soft Computing
, vol.15
, Issue.10
, pp. 1909-1936
-
-
Luengo, J.1
Fernández, A.2
García, S.3
Herrera, F.4
-
90
-
-
77955046700
-
On the suitability of combining feature selection and resampling to manage data complexity
-
R. Martín-Félez, R.A., Mollineda, On the suitability of combining feature selection and resampling to manage data complexity, in: Proceedings of the Conferencia de la Asociacin Espaola de Inteligencia Artificial (CAEPIA'09), Lecture Notes on Artificial Intelligence, vol. 5988, 2010, pp. 141-150.
-
(2010)
Proceedings of the Conferencia de la Asociacin Espaola de Inteligencia Artificial (CAEPIA'09), Lecture Notes on Artificial Intelligence
, vol.5988
, pp. 141-150
-
-
Martín-Félez, R.1
-
91
-
-
40649126091
-
Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance
-
M.A. Mazurowski, P.A. Habas, J.M. Zurada, J.Y. Lo, J.A. Baker, and G.D. Tourassi Training neural network classifiers for medical decision making: the effects of imbalanced datasets on classification performance Neural Networks 21 2-3 2008
-
(2008)
Neural Networks
, vol.21
, Issue.23
-
-
Mazurowski, M.A.1
Habas, P.A.2
Zurada, J.M.3
Lo, J.Y.4
Baker, J.A.5
Tourassi, G.D.6
-
93
-
-
65849151044
-
Symbolic one-class learning from imbalanced datasets: Application in medical diagnosis
-
L. Mena, and J.A. González Symbolic one-class learning from imbalanced datasets: application in medical diagnosis International Journal on Artificial Intelligence Tools 18 2 2009 273 309
-
(2009)
International Journal on Artificial Intelligence Tools
, vol.18
, Issue.2
, pp. 273-309
-
-
Mena, L.1
González, J.A.2
-
95
-
-
84870054779
-
Repairing fractures between data using genetic programming-based feature extraction: A case study in cancer diagnosis
-
J.G. Moreno-Torres, X. Llorà, D.E. Goldberg, and R. Bhargava Repairing fractures between data using genetic programming-based feature extraction: a case study in cancer diagnosis Information Sciences 222 2013 805 823
-
(2013)
Information Sciences
, vol.222
, pp. 805-823
-
-
Moreno-Torres, J.G.1
Llorà, X.2
Goldberg, D.E.3
Bhargava, R.4
-
96
-
-
80052714543
-
A unifying view on dataset shift in classification
-
J.G. Moreno-Torres, T. Raeder, R. Aláiz-Rodríguez, N.V. Chawla, and F. Herrera A unifying view on dataset shift in classification Pattern Recognition 45 1 2012 521 530
-
(2012)
Pattern Recognition
, vol.45
, Issue.1
, pp. 521-530
-
-
Moreno-Torres, J.G.1
Raeder, T.2
Aláiz-Rodríguez, R.3
Chawla, N.V.4
Herrera, F.5
-
97
-
-
79956276876
-
Learning from imbalanced data in presence of noisy and borderline examples
-
K. Napierala, J. Stefanowski, S. Wilk, Learning from imbalanced data in presence of noisy and borderline examples, in: Proceedings of the 7th International Conference on Rough Sets and Current Trends in Computing (RSCTC'10), Lecture Notes on Artificial Intelligence, vol. 6086, 2010, pp. 158-167.
-
(2010)
Proceedings of the 7th International Conference on Rough Sets and Current Trends in Computing (RSCTC'10), Lecture Notes on Artificial Intelligence
, vol.6086
, pp. 158-167
-
-
Napierala, K.1
Stefanowski, J.2
Wilk, S.3
-
98
-
-
55549116330
-
Evolutionary rule-based systems for imbalanced datasets
-
A. Orriols-Puig, and E. Bernadó-Mansilla Evolutionary rule-based systems for imbalanced datasets Soft Computing 13 3 2009 213 225
-
(2009)
Soft Computing
, vol.13
, Issue.3
, pp. 213-225
-
-
Orriols-Puig, A.1
Bernadó-Mansilla, E.2
-
99
-
-
70349882155
-
Facetwise analysis of XCS for problems with class imbalances
-
A. Orriols-Puig, E. Bernadó-Mansilla, D.E. Goldberg, K. Sastry, and P.L. Lanzi Facetwise analysis of XCS for problems with class imbalances IEEE Transactions on Evolutionary Computation 13 2009 260 283
-
(2009)
IEEE Transactions on Evolutionary Computation
, vol.13
, pp. 260-283
-
-
Orriols-Puig, A.1
Bernadó-Mansilla, E.2
Goldberg, D.E.3
Sastry, K.4
Lanzi, P.L.5
-
100
-
-
0003120218
-
Fast training of support vector machines using sequential minimal optimization
-
MIT Press Cambridge, MA
-
J. Platt Fast training of support vector machines using sequential minimal optimization Advances in Kernel Methods - Support Vector Learning 1998 MIT Press Cambridge, MA 42 65
-
(1998)
Advances in Kernel Methods - Support Vector Learning
, pp. 42-65
-
-
Platt, J.1
-
101
-
-
33748611921
-
Ensemble based systems in decision making
-
R. Polikar Ensemble based systems in decision making IEEE Circuits and Systems Magazine 6 3 2006 21 45
-
(2006)
IEEE Circuits and Systems Magazine
, vol.6
, Issue.3
, pp. 21-45
-
-
Polikar, R.1
-
105
-
-
84885636932
-
Learning from imbalanced data: Evaluation matters
-
D.E. Holmes, L.C. Jain, Springer-Verlag
-
T. Raeder, G. Forman, and N.V. Chawla Learning from imbalanced data: evaluation matters D.E. Holmes, L.C. Jain, Data Mining: Found. and Intell. Paradigms vol. ISRL 23 2012 Springer-Verlag 315 331
-
(2012)
Data Mining: Found. and Intell. Paradigms
, vol.23 VOL. ISRL
, pp. 315-331
-
-
Raeder, T.1
Forman, G.2
Chawla, N.V.3
-
106
-
-
0026120032
-
Small sample size effects in statistical pattern recognition: Recommendations for practitioners
-
S.J. Raudys, and A.K. Jain Small sample size effects in statistical pattern recognition: recommendations for practitioners IEEE Transactions on Pattern Analysis and Machine Intelligence 13 3 1991 252 264
-
(1991)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.13
, Issue.3
, pp. 252-264
-
-
Raudys, S.J.1
Jain, A.K.2
-
107
-
-
0028202408
-
Representation design and brute-force induction in a boeing manufacturing domain
-
P. Riddle, R. Segal, and O. Etzioni Representation design and brute-force induction in a boeing manufacturing domain Applied Artificial Intelligence 8 1994 125 147
-
(1994)
Applied Artificial Intelligence
, vol.8
, pp. 125-147
-
-
Riddle, P.1
Segal, R.2
Etzioni, O.3
-
111
-
-
84883450766
-
An empirical study of the classification performance of learners on imbalanced and noisy software quality data
-
10.1016/j.ins.2010.12.016 in press
-
C. Seiffert, T.M. Khoshgoftaar, J. Van Hulse, and A. Folleco An empirical study of the classification performance of learners on imbalanced and noisy software quality data Information Sciences 2013 10.1016/j.ins.2010.12.016 in press
-
(2013)
Information Sciences
-
-
Seiffert, C.1
Khoshgoftaar, T.M.2
Van Hulse, J.3
Folleco, A.4
-
112
-
-
72949118881
-
RUSBoost: A hybrid approach to alleviating class imbalance
-
C. Seiffert, T.M. Khoshgoftaar, J. Van Hulse, and A. Napolitano RUSBoost: a hybrid approach to alleviating class imbalance IEEE Transactions on System, Man and Cybernetics A 40 1 2010 185 197
-
(2010)
IEEE Transactions on System, Man and Cybernetics A
, vol.40
, Issue.1
, pp. 185-197
-
-
Seiffert, C.1
Khoshgoftaar, T.M.2
Van Hulse, J.3
Napolitano, A.4
-
113
-
-
84890829458
-
Modified sequentially rejective multiple test procedures
-
J.P. Shaffer Modified sequentially rejective multiple test procedures Journal of the American Statistical Association 81 395 1986 826 831
-
(1986)
Journal of the American Statistical Association
, vol.81
, Issue.395
, pp. 826-831
-
-
Shaffer, J.P.1
-
114
-
-
0037527188
-
Improving predictive inference under covariate shift by weighting the log-likelihood function
-
H. Shimodaira Improving predictive inference under covariate shift by weighting the log-likelihood function Journal of Statistical Planning and Inference 90 2 2000 227 244
-
(2000)
Journal of Statistical Planning and Inference
, vol.90
, Issue.2
, pp. 227-244
-
-
Shimodaira, H.1
-
115
-
-
52949096003
-
Improving rule based classifiers induced by MODLEM by selective pre-processing of imbalanced data
-
J. Stefanowski, S. Wilk, Improving rule based classifiers induced by MODLEM by selective pre-processing of imbalanced data, in: Proceedings of the RSKD Workshop at ECML/PKDD'07, 2007, pp. 54-65.
-
(2007)
Proceedings of the RSKD Workshop at ECML/PKDD'07
, pp. 54-65
-
-
Stefanowski, J.1
Wilk, S.2
-
116
-
-
52949093937
-
Selective pre-processing of imbalanced data for improving classification performance
-
J. Stefanowski, S. Wilk, Selective pre-processing of imbalanced data for improving classification performance, in: Proceedings of the 10th International Conference on Data Warehousing and Knowledge, Discovery (DaWaK08), 2008, pp. 283-292.
-
(2008)
Proceedings of the 10th International Conference on Data Warehousing and Knowledge, Discovery (DaWaK08)
, pp. 283-292
-
-
Stefanowski, J.1
Wilk, S.2
-
117
-
-
34547673383
-
Cost-sensitive boosting for classification of imbalanced data
-
Y. Sun, M.S. Kamel, A.K.C. Wong, and Y. Wang Cost-sensitive boosting for classification of imbalanced data Pattern Recognition 40 12 2007 3358 3378
-
(2007)
Pattern Recognition
, vol.40
, Issue.12
, pp. 3358-3378
-
-
Sun, Y.1
Kamel, M.S.2
Wong, A.K.C.3
Wang, Y.4
-
119
-
-
61549114384
-
SVMs modeling for highly imbalanced classification
-
Y. Tang, Y.-Q. Zhang, N.V. Chawla, and S. Kresser SVMs modeling for highly imbalanced classification IEEE Transactions on Systems, Man and Cybernetics, Part B 9 1 2009 281 288
-
(2009)
IEEE Transactions on Systems, Man and Cybernetics, Part B
, vol.9
, Issue.1
, pp. 281-288
-
-
Tang, Y.1
Zhang, Y.-Q.2
Chawla, N.V.3
Kresser, S.4
-
120
-
-
33746424489
-
Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval
-
D. Tao, X. Tang, X. Li, and X. Wu Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval IEEE Transactions on Pattern Analysis and Machine Intelligence 28 7 2006 1088 1099
-
(2006)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.28
, Issue.7
, pp. 1088-1099
-
-
Tao, D.1
Tang, X.2
Li, X.3
Wu, X.4
-
122
-
-
0002804620
-
A comparative study of cost-sensitive boosting algorithms
-
Stanford, CA, USA
-
K.M. Ting, A comparative study of cost-sensitive boosting algorithms, in: Proceedings of the 17th International Conference on Machine Learning (ICML'00), Stanford, CA, USA, 2000, pp. 983-990.
-
(2000)
Proceedings of the 17th International Conference on Machine Learning (ICML'00)
, pp. 983-990
-
-
Ting, K.M.1
-
123
-
-
0036565589
-
An instance-weighting method to induce cost-sensitive trees
-
K.M. Ting An instance-weighting method to induce cost-sensitive trees IEEE Transactions on Knowledge and Data Engineering 14 3 2002 659 665
-
(2002)
IEEE Transactions on Knowledge and Data Engineering
, vol.14
, Issue.3
, pp. 659-665
-
-
Ting, K.M.1
-
125
-
-
60249092433
-
Forecasting of ozone episode days by cost-sensitive neural network methods
-
C.-H. Tsai, L.-C. Chang, and H.-C. Chiang Forecasting of ozone episode days by cost-sensitive neural network methods Science of the Total Environment 407 6 2009 2124 2135
-
(2009)
Science of the Total Environment
, vol.407
, Issue.6
, pp. 2124-2135
-
-
Tsai, C.-H.1
Chang, L.-C.2
Chiang, H.-C.3
-
126
-
-
0000865580
-
Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm
-
P.D. Turney Cost-sensitive classification: empirical evaluation of a hybrid genetic decision tree induction algorithm Journal of Artificial Intelligence Research 2 1995 369 409
-
(1995)
Journal of Artificial Intelligence Research
, vol.2
, pp. 369-409
-
-
Turney, P.D.1
-
127
-
-
70449350596
-
An empirical comparison of repetitive undersampling techniques
-
J. Van Hulse, T.M. Khoshgoftaar, A. Napolitano, An empirical comparison of repetitive undersampling techniques, in: Proceedings of the 2009 IEEE International Conference on Information Reuse, Integration (IRI'09), 2009, pp. 29-34.
-
(2009)
Proceedings of the 2009 IEEE International Conference on Information Reuse, Integration (IRI'09)
, pp. 29-34
-
-
Van Hulse, J.1
Khoshgoftaar, T.M.2
Napolitano, A.3
-
129
-
-
80055010583
-
Extract minimum positive and maximum negative features for imbalanced binary classification
-
J. Wang, J. You, Q. Li, and Y. Xu Extract minimum positive and maximum negative features for imbalanced binary classification Pattern Recognition 45 3 2012 1136 1145
-
(2012)
Pattern Recognition
, vol.45
, Issue.3
, pp. 1136-1145
-
-
Wang, J.1
You, J.2
Li, Q.3
Xu, Y.4
-
131
-
-
84864119523
-
Relationships between diversity of classification ensembles and single-class performance measures
-
S. Wang, and X. Yao Relationships between diversity of classification ensembles and single-class performance measures IEEE Transactions on Knowledge and Data Engineering 25 1 2013 206 219
-
(2013)
IEEE Transactions on Knowledge and Data Engineering
, vol.25
, Issue.1
, pp. 206-219
-
-
Wang, S.1
Yao, X.2
-
132
-
-
79960857685
-
Building interpretable fuzzy models for high dimensional data analysis in cancer diagnosis
-
Z. Wang, and V. Palade Building interpretable fuzzy models for high dimensional data analysis in cancer diagnosis BMC Genomics 12 (S2):S5 2011
-
(2011)
BMC Genomics
, vol.12
-
-
Wang, Z.1
Palade, V.2
-
134
-
-
33847141517
-
Timeweaver: A genetic algorithm for identifying pre-dictive patterns in sequences of events
-
W. Banzhaf, J. Daida, A.E. Eiben, M.H. Garzon, V. Honavar, M. Jakiela, R.E. Smith, Morgan Kaufmann Orlando, Florida, USA
-
G.M. Weiss Timeweaver: a genetic algorithm for identifying pre-dictive patterns in sequences of events W. Banzhaf, J. Daida, A.E. Eiben, M.H. Garzon, V. Honavar, M. Jakiela, R.E. Smith, Proceedings of the Genetic and Evolutionary Computation Conference GECCO'99 vol. 1 1999 Morgan Kaufmann Orlando, Florida, USA 718 725
-
(1999)
Proceedings of the Genetic and Evolutionary Computation Conference GECCO'99
, vol.1 VOL.
, pp. 718-725
-
-
Weiss, G.M.1
-
135
-
-
20844458491
-
Mining with rarity: A unifying framework
-
G.M. Weiss Mining with rarity: a unifying framework SIGKDD Explorations 6 1 2004 7 19
-
(2004)
SIGKDD Explorations
, vol.6
, Issue.1
, pp. 7-19
-
-
Weiss, G.M.1
-
137
-
-
77956198600
-
The impact of small disjuncts on classifier learning
-
R. Stahlbock, S.F. Crone, S. Lessmann, Springer
-
G.M. Weiss The impact of small disjuncts on classifier learning R. Stahlbock, S.F. Crone, S. Lessmann, Data Mining: Annals of Information Systems vol. 8 2010 Springer 193 226
-
(2010)
Data Mining: Annals of Information Systems
, vol.8 VOL.
, pp. 193-226
-
-
Weiss, G.M.1
-
138
-
-
1442275185
-
Learning when training data are costly: The effect of class distribution on tree induction
-
G.M. Weiss, and F.J. Provost Learning when training data are costly: the effect of class distribution on tree induction Journal of Artificial Intelligence Research 19 2003 315 354
-
(2003)
Journal of Artificial Intelligence Research
, vol.19
, pp. 315-354
-
-
Weiss, G.M.1
Provost, F.J.2
-
139
-
-
50549089793
-
Maximizing classifier utility when there are data acquisition and modeling costs
-
G.M. Weiss, and Y. Tian Maximizing classifier utility when there are data acquisition and modeling costs Data Mining and Knowledge Discovery 17 2 2008 253 282
-
(2008)
Data Mining and Knowledge Discovery
, vol.17
, Issue.2
, pp. 253-282
-
-
Weiss, G.M.1
Tian, Y.2
-
140
-
-
0015361129
-
Asymptotic properties of nearest neighbor rules using edited data
-
D.L. Wilson Asymptotic properties of nearest neighbor rules using edited data IEEE Transactions on Systems, Man and Cybernetics 2 3 1972 408 421
-
(1972)
IEEE Transactions on Systems, Man and Cybernetics
, vol.2
, Issue.3
, pp. 408-421
-
-
Wilson, D.L.1
-
141
-
-
0141453538
-
On predicting rare classes with SVM ensembles in scene classification
-
R. Yan, Y. Liu, R. Jin, A. Hauptmann, On predicting rare classes with SVM ensembles in scene classification, in: Proceedings of the 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'03), vol. 3, 2003, pp. 21-24.
-
(2003)
Proceedings of the 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'03)
, vol.3
, pp. 21-24
-
-
Yan, R.1
Liu, Y.2
Jin, R.3
Hauptmann, A.4
-
142
-
-
71549117908
-
A particle swarm based hybrid system for imbalanced medical data sampling
-
art. no. S34.
-
P. Yang, L. Xu, B.B. Zhou, Z. Zhang, and A.Y. Zomaya A particle swarm based hybrid system for imbalanced medical data sampling BMC Genomics 10 Suppl. 3 2009 art. no. S34.
-
(2009)
BMC Genomics
, vol.10
, Issue.SUPPL. 3
-
-
Yang, P.1
Xu, L.2
Zhou, B.B.3
Zhang, Z.4
Zomaya, A.Y.5
-
144
-
-
54349101200
-
Conceptual equivalence for contrast mining in classification learning
-
Y. Yang, X. Wu, and X. Zhu Conceptual equivalence for contrast mining in classification learning Data & Knowledge Engineering 67 3 2008 413 429
-
(2008)
Data & Knowledge Engineering
, vol.67
, Issue.3
, pp. 413-429
-
-
Yang, Y.1
Wu, X.2
Zhu, X.3
-
145
-
-
33748947459
-
Under-sampling approaches for improving prediction of the minority class in an imbalanced dataset
-
S. Yen, Y. Lee, Under-sampling approaches for improving prediction of the minority class in an imbalanced dataset, in: Proceedings of the 2006 International Conference on Intelligent, Computing (ICIC06), 2006, pp. 731-740.
-
(2006)
Proceedings of the 2006 International Conference on Intelligent, Computing (ICIC06)
, pp. 731-740
-
-
Yen, S.1
Lee, Y.2
-
146
-
-
33846986488
-
An unsupervised learning approach to resolving the data imbalanced issue in supervised learning problems in functional genomics
-
K. Yoon, S. Kwek, An unsupervised learning approach to resolving the data imbalanced issue in supervised learning problems in functional genomics, in: Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS'05), 2005, pp. 303-308.
-
(2005)
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS'05)
, pp. 303-308
-
-
Yoon, K.1
Kwek, S.2
-
148
-
-
33749245586
-
Cost-sensitive learning by cost-proportionate example weighting
-
B. Zadrozny, J. Langford, N. Abe, Cost-sensitive learning by cost-proportionate example weighting, in: Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM'03), 2003, pp. 435-442.
-
(2003)
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM'03)
, pp. 435-442
-
-
Zadrozny, B.1
Langford, J.2
Abe, N.3
-
150
-
-
31344442851
-
Training cost-sensitive neural networks with methods addressing the class imbalance problem
-
Z.-H. Zhou, and X.-Y. Liu Training cost-sensitive neural networks with methods addressing the class imbalance problem IEEE Transactions on Knowledge and Data Engineering 18 1 2006 63 77
-
(2006)
IEEE Transactions on Knowledge and Data Engineering
, vol.18
, Issue.1
, pp. 63-77
-
-
Zhou, Z.-H.1
Liu, X.-Y.2
-
151
-
-
19544372918
-
Class noise vs. attribute noise: A quantitative study
-
X. Zhu, and X. Wu Class noise vs. attribute noise: a quantitative study Artificial Intelligence Review 22 3 2004 177 210
-
(2004)
Artificial Intelligence Review
, vol.22
, Issue.3
, pp. 177-210
-
-
Zhu, X.1
Wu, X.2
-
152
-
-
84868626655
-
Weighted extreme learning machine for imbalance learning
-
W. Zong, G.-B. Huang, and Y. Chen Weighted extreme learning machine for imbalance learning Neurocomputing 101 2013 229 242
-
(2013)
Neurocomputing
, vol.101
, pp. 229-242
-
-
Zong, W.1
Huang, G.-B.2
Chen, Y.3
|