-
1
-
-
0036275180
-
An evolutionary artificial neural networks approach for breast cancer diagnosis
-
H. A. Abbass. An evolutionary artificial neural networks approach for breast cancer diagnosis. Artificial Intelligence in Medicine, 25:265-281, 2002.
-
(2002)
Artificial Intelligence in Medicine
, vol.25
, pp. 265-281
-
-
Abbass, H.A.1
-
2
-
-
33744548422
-
Classification of breast masses in mammograms using neural networks with shape, edge sharpness, and texture features
-
T. C. S. S. André and R. M. Rangayyan. Classification of breast masses in mammograms using neural networks with shape, edge sharpness, and texture features. J. Electronic Imaging, 15(1):013019, 2006.
-
(2006)
J. Electronic Imaging
, vol.15
, Issue.1
, pp. 013019
-
-
André, T.C.S.S.1
Rangayyan, R.M.2
-
3
-
-
2142711004
-
Mass lesion detection with a fuzzy neural network
-
H. D. Cheng and M. Cui. Mass lesion detection with a fuzzy neural network. Pattern Recognition, 37(6):1189-1200, 2004.
-
(2004)
Pattern Recognition
, vol.37
, Issue.6
, pp. 1189-1200
-
-
Cheng, H.D.1
Cui, M.2
-
4
-
-
80051977275
-
Artificial neural network synthesis by means of artificial bee colony (abc) algorithm
-
B. A. Garro, H. Sossa, and R. A. Vázquez. Artificial neural network synthesis by means of artificial bee colony (abc) algorithm. In IEEE Congress on Evolutionary Computation, pages 331-338, 2011.
-
(2011)
IEEE Congress on Evolutionary Computation
, pp. 331-338
-
-
Garro, B.A.1
Sossa, H.2
Vázquez, R.A.3
-
5
-
-
44649193889
-
Accelerated neural evolution through cooperatively coevolved synapses
-
F. Gomez, J. Schmidhuber, and R. Miikkulainen. Accelerated neural evolution through cooperatively coevolved synapses. J. Mach. Learn. Res., 9:937-965, 2008.
-
(2008)
J. Mach. Learn. Res.
, vol.9
, pp. 937-965
-
-
Gomez, F.1
Schmidhuber, J.2
Miikkulainen, R.3
-
6
-
-
33244460050
-
Breast cancer diagnosis using genetic programming generated feature
-
H. Guo and A. K. Nandi. Breast cancer diagnosis using genetic programming generated feature. Pattern Recognition, 39(5):980-987, 2006.
-
(2006)
Pattern Recognition
, vol.39
, Issue.5
, pp. 980-987
-
-
Guo, H.1
Nandi, A.K.2
-
7
-
-
0034593063
-
UleViz: A model for visualizing knowledge discovery process
-
J. Han and N. Cercone. uleViz: a model for visualizing knowledge discovery process. In KDD, pages 244-253, 2000.
-
(2000)
KDD
, pp. 244-253
-
-
Han, J.1
Cercone, N.2
-
8
-
-
1842587806
-
Design of accurate classifiers with a compact fuzzy-rule base using an evolutionary scatter partition of feature space
-
S. Ho, H. Chen, S. Ho, and T. Chen. Design of accurate classifiers with a compact fuzzy-rule base using an evolutionary scatter partition of feature space. IEEE Trans. Syst. Man Cybern., 34 (2):1031-1044, 2004.
-
(2004)
IEEE Trans. Syst. Man Cybern.
, vol.34
, Issue.2
, pp. 1031-1044
-
-
Ho, S.1
Chen, H.2
Ho, S.3
Chen, T.4
-
9
-
-
1842587806
-
Design of accurate classifiers with a compact fuzzy-rule base using an evolutionary scatter partition of feature space
-
S.-Y. Ho, H.-M. Chen, S.-J. Ho, and T.-K. Chen. Design of accurate classifiers with a compact fuzzy-rule base using an evolutionary scatter partition of feature space. IEEE Transactions on Systems, Man, and Cybernetics, Part B, 34(2):1031-1044, 2004.
-
(2004)
IEEE Transactions on Systems, Man, and Cybernetics, Part B
, vol.34
, Issue.2
, pp. 1031-1044
-
-
Ho, S.-Y.1
Chen, H.-M.2
Ho, S.-J.3
Chen, T.-K.4
-
11
-
-
77954626012
-
Intelligent Decision Support System for Breast Cancer
-
chapter 46, Springer Berlin Heidelberg, Berlin, Heidelberg
-
R. Janghel, A. Shukla, R. Tiwari, and R. Kala. Intelligent Decision Support System for Breast Cancer. In Advances in Swarm Intelligence, volume 6146, chapter 46, pages 351-358. Springer Berlin Heidelberg, Berlin, Heidelberg, 2010.
-
(2010)
Advances in Swarm Intelligence
, vol.6146
, pp. 351-358
-
-
Janghel, R.1
Shukla, A.2
Tiwari, R.3
Kala, R.4
-
13
-
-
84866062894
-
Evolution of optimal anns for non-linear control problems using cartesian genetic programming
-
M. Khan, G. Khan, and J. F. Miller. Evolution of optimal anns for non-linear control problems using cartesian genetic programming. In Proc. IEEE. ICAI'2010, 2010.
-
(2010)
Proc. IEEE. ICAI'2010
-
-
Khan, M.1
Khan, G.2
Miller, J.F.3
-
14
-
-
79851491485
-
Efficient representation of recurrent neural networks for markovian/non-markovian non-linear control problems
-
M. Khan, G. Khan, and J. Miller. Efficient representation of recurrent neural networks for markovian/non-markovian non-linear control problems. In Proc. ISDA'2010, pages 615-620, 2010.
-
(2010)
Proc. ISDA'2010
, pp. 615-620
-
-
Khan, M.1
Khan, G.2
Miller, J.3
-
17
-
-
0036643351
-
Learning good prototypes for classification using filtering and abstraction of instances
-
W. Lam, C.-K. Keung, and C. X. Ling. Learning good prototypes for classification using filtering and abstraction of instances. Pattern Recognition, 35(7):1491-1506, 2002.
-
(2002)
Pattern Recognition
, vol.35
, Issue.7
, pp. 1491-1506
-
-
Lam, W.1
Keung, C.-K.2
Ling, C.X.3
-
18
-
-
85007276999
-
Evolution of neural networks for the detection of breast cancer
-
W. H. Land Jr, L. Albertelli, Y. Titkov, P. Kaltsatis, and G. Seburyano. Evolution of neural networks for the detection of breast cancer. In Proc. IEEE. Int. Joint Symposia on Intelligence and Systems, INTSYS '98, pages 34-40, 1998.
-
(1998)
Proc. IEEE. Int. Joint Symposia on Intelligence and Systems, INTSYS '98
, pp. 34-40
-
-
Land Jr., W.H.1
Albertelli, L.2
Titkov, Y.3
Kaltsatis, P.4
Seburyano, G.5
-
19
-
-
70449408976
-
Design of artificial neural networks using a modified particle swarm optimization algorithm
-
B. A. G. Licon, J. H. S. Azuela, and R. A. Vázquez. Design of artificial neural networks using a modified particle swarm optimization algorithm. In IJCNN, pages 938-945, 2009.
-
(2009)
IJCNN
, pp. 938-945
-
-
Licon, B.A.G.1
Azuela, J.H.S.2
Vázquez, R.A.3
-
20
-
-
0037291502
-
Self-organizing map for cluster analysis of a breast cancer database
-
M. K. Markey, J. Y. Lo, G. D. Tourassi, and C. E. Floyd. Self-organizing map for cluster analysis of a breast cancer database. Artificial Intelligence in Medicine, 27:113-127, 2003.
-
(2003)
Artificial Intelligence in Medicine
, vol.27
, pp. 113-127
-
-
Markey, M.K.1
Lo, J.Y.2
Tourassi, G.D.3
Floyd, C.E.4
-
21
-
-
84946491745
-
Cartesian genetic programming
-
J. F. Miller and P. Thomson. Cartesian genetic programming. In Proc. EuroGP'2000, volume 1802, pages 121-132, 2000.
-
(2000)
Proc. EuroGP'2000
, vol.1802
, pp. 121-132
-
-
Miller, J.F.1
Thomson, P.2
-
23
-
-
33947492207
-
Breast cancer detection from FNA using SVM with different parameter tuning systems and SOM-RBF classifier
-
T. Mu and A. K. Nandi. Breast cancer detection from FNA using SVM with different parameter tuning systems and SOM-RBF classifier. Journal of the Franklin Institute, 344:285-311, 2007.
-
(2007)
Journal of the Franklin Institute
, vol.344
, pp. 285-311
-
-
Mu, T.1
Nandi, A.K.2
-
24
-
-
33746947798
-
Classification of breast masses in mammograms using genetic programming and feature selection
-
R. Nandi, A. Nandi, R. Rangayyan, and D. Scutt. Classification of breast masses in mammograms using genetic programming and feature selection. Medical Biological Engineering & Computing, 44(8):683-94, 2006.
-
(2006)
Medical Biological Engineering & Computing
, vol.44
, Issue.8
, pp. 683-694
-
-
Nandi, R.1
Nandi, A.2
Rangayyan, R.3
Scutt, D.4
-
25
-
-
0242269079
-
Comparison of multi excitation fluorescence and diffuse reflectance spectroscopy for the diagnosis of breast cancer
-
G. Palmer, C. Zhu, T. Breslin, F. Xu, K. Gilchrist, and N. Ramanujam. Comparison of multi excitation fluorescence and diffuse reflectance spectroscopy for the diagnosis of breast cancer. IEEE Trans Biomed Eng., 50(11):1233-42, 2003.
-
(2003)
IEEE Trans Biomed Eng.
, vol.50
, Issue.11
, pp. 1233-1242
-
-
Palmer, G.1
Zhu, C.2
Breslin, T.3
Xu, F.4
Gilchrist, K.5
Ramanujam, N.6
-
26
-
-
0031651078
-
Evolving the topology and the weights of neural networks using a dual representation
-
J. Pujol and R. Poli. Evolving the topology and the weights of neural networks using a dual representation. Applied Intelligence Journal, 8:73-84, 1998.
-
(1998)
Applied Intelligence Journal
, vol.8
, pp. 73-84
-
-
Pujol, J.1
Poli, R.2
-
27
-
-
35048879142
-
Evolving reusable neural modules
-
Proceedings of the Genetic and Evolutionary Computation Conference, Springer
-
J. Reisinger, K. O. Stanley, and R. Miikkulainen. Evolving reusable neural modules. In Proceedings of the Genetic and Evolutionary Computation Conference, volume 3103 of Lecture Notes in Computer Science, pages 69-81. Springer, 2004.
-
(2004)
Lecture Notes in Computer Science
, vol.3103
, pp. 69-81
-
-
Reisinger, J.1
Stanley, K.O.2
Miikkulainen, R.3
-
28
-
-
84864672519
-
Classification of mammographic masses using radial basis functions and simulated annealing with shape, acutance, and texture features
-
R. Santo, R. Lopes, and R. Rangayyan. Classification of mammographic masses using radial basis functions and simulated annealing with shape, acutance, and texture features. In Proceedings of the IASTED Conference on Biomedical Engineering, pages 458-175, 2005.
-
(2005)
Proceedings of the IASTED Conference on Biomedical Engineering
, pp. 458-1175
-
-
Santo, R.1
Lopes, R.2
Rangayyan, R.3
-
31
-
-
0036594106
-
Evolving neural network through augmenting topologies
-
K. O. Stanley and R. Miikkulainen. Evolving neural network through augmenting topologies. Evolutionary Computation, 10(2):99-127, 2002.
-
(2002)
Evolutionary Computation
, vol.10
, Issue.2
, pp. 99-127
-
-
Stanley, K.O.1
Miikkulainen, R.2
-
32
-
-
19044383038
-
A study on several machine-learning methods for classification of malignant and benign clustered microcalcifications
-
L. Wei, Y. Yang, R. M. Nishikawa, and Y. Jiang. A study on several machine-learning methods for classification of malignant and benign clustered microcalcifications. IEEE Transactions on Medical Imaging, 24:371-380, 2005.
-
(2005)
IEEE Transactions on Medical Imaging
, vol.24
, pp. 371-380
-
-
Wei, L.1
Yang, Y.2
Nishikawa, R.M.3
Jiang, Y.4
-
34
-
-
0034333656
-
Model selection for a medical diagnostic decision support system: A breast cancer detection case
-
D. West and V. West. Model selection for a medical diagnostic decision support system: a breast cancer detection case. Artificial Intelligence in Medicine, 20(3):183-204, 2000.
-
(2000)
Artificial Intelligence in Medicine
, vol.20
, Issue.3
, pp. 183-204
-
-
West, D.1
West, V.2
-
35
-
-
33646714634
-
Evolutionary function approximation for reinforcement learning
-
S. Whiteson and P. Stone. Evolutionary function approximation for reinforcement learning. Journal of Machine Learning Research, 7:877-917, 2006.
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 877-917
-
-
Whiteson, S.1
Stone, P.2
-
36
-
-
0028935859
-
Image analysis and machine learning applied to breast cancer diagnosis and prognosis
-
W. Wolberg, W. Street, and O. Mangasarian. Image analysis and machine learning applied to breast cancer diagnosis and prognosis. Pubmid:Anal Quant Cytol Histol., 17(2):77-87, 1995.
-
(1995)
Pubmid:Anal Quant Cytol Histol.
, vol.17
, Issue.2
, pp. 77-87
-
-
Wolberg, W.1
Street, W.2
Mangasarian, O.3
-
38
-
-
0033362601
-
Evolving artificial neural networks
-
X. Yao. Evolving artificial neural networks. In Proceedings of the IEEE, volume 87(9), pages 1423-1447, 1999.
-
(1999)
Proceedings of the IEEE
, vol.87
, Issue.9
, pp. 1423-1447
-
-
Yao, X.1
|