-
1
-
-
74949125948
-
Grounding cooccurrence: Identifying features in a lexical co-occurrence model of semantic memory
-
PMID:19897830
-
Durda K, Buchanan L, Caron R. Grounding cooccurrence: Identifying features in a lexical co-occurrence model of semantic memory. Behav Res Methods 2009; 41:1210-23; PMID:19897830; http://dx.doi. org/10.3758/BRM.41.4.1210.
-
(2009)
Behav Res Methods
, vol.41
, pp. 1210-1223
-
-
Durda, K.1
Buchanan, L.2
Caron, R.3
-
3
-
-
84875052509
-
Using machine learning to classify image features from canine pelvic radiographs: Evaluation of partial least squares discriminant analysis and artificial neural network models
-
PMID:23228122
-
McEvoy FJ, Amigo JM. Using machine learning to classify image features from canine pelvic radiographs: evaluation of partial least squares discriminant analysis and artificial neural network models. Vet Radiol Ultrasound 2012; 54:122-6; PMID:23228122; http://dx.doi.org/10.1111/vru.12003.
-
(2012)
Vet Radiol Ultrasound
, vol.54
, pp. 122-126
-
-
McEvoy, F.J.1
Amigo, J.M.2
-
4
-
-
84884566354
-
Diagnosis of Hashimoto's thyroiditis in ultrasound using tissue characterization and pixel classification
-
PMID:23636761
-
Acharya UR, Vinitha Sree S, Mookiah MR, Yantri R, Molinari F, Zieleznik W, Małyszek-Tumidajewicz J, Stepien B, Bardales RH, Witkowska A, et al. Diagnosis of Hashimoto's thyroiditis in ultrasound using tissue characterization and pixel classification. Proc Inst Mech Eng H 2013; 227:788-98; PMID:23636761; http://dx.doi.org/10.1177/0954411913483637.
-
(2013)
Proc Inst Mech Eng H
, vol.227
, pp. 788-798
-
-
Acharya, U.R.1
Vinitha Sree, S.2
Mookiah, M.R.3
Yantri, R.4
Molinari, F.5
Zieleznik, W.6
Małyszek-Tumidajewicz, J.7
Stepien, B.8
Bardales, R.H.9
Witkowska, A.10
-
5
-
-
84881095700
-
EEG segmentation for improving automatic CAP detection
-
PMID:23643311
-
Mariani S, Grassi A, Mendez MO, Milioli G, Parrino L, Terzano MG, Bianchi AM. EEG segmentation for improving automatic CAP detection. Clin Neurophysiol 2013; 124:1815-23; PMID:23643311; http://dx.doi.org/10.1016/j.clinph.2013.04.005.
-
(2013)
Clin Neurophysiol
, vol.124
, pp. 1815-1823
-
-
Mariani, S.1
Grassi, A.2
Mendez, M.O.3
Milioli, G.4
Parrino, L.5
Terzano, M.G.6
Bianchi, A.M.7
-
6
-
-
84888206091
-
Segmentation, feature extraction, and multiclass brain tumor classification
-
PMID:23645344
-
Sachdeva J, Kumar V, Gupta I, Khandelwal N, Ahuja CK. Segmentation, feature extraction, and multiclass brain tumor classification. J Digit Imaging 2013; 26:1141-50; PMID:23645344; http://dx.doi. org/10.1007/s10278-013-9600-0.
-
(2013)
J Digit Imaging
, vol.26
, pp. 1141-1150
-
-
Sachdeva, J.1
Kumar, V.2
Gupta, I.3
Khandelwal, N.4
Ahuja, C.K.5
-
7
-
-
84878099465
-
A microfluidic system for cell type classification based on cellular size-independent electrical properties
-
PMID:23640025
-
Zhao Y, Chen D, Luo Y, Li H, Deng B, Huang SB, Chiu TK, Wu MH, Long R, Hu H, et al. A microfluidic system for cell type classification based on cellular size-independent electrical properties. Lab Chip 2013; 13:2272-7; PMID:23640025; http://dx.doi. org/10.1039/c3lc41361f.
-
(2013)
Lab Chip
, vol.13
, pp. 2272-2277
-
-
Zhao, Y.1
Chen, D.2
Luo, Y.3
Li, H.4
Deng, B.5
Huang, S.B.6
Chiu, T.K.7
Wu, M.H.8
Long, R.9
Hu, H.10
-
8
-
-
84892587881
-
Scaled free-energy based reinforcement learning for robust and efficient learning in high-dimensional state spaces
-
PMID:23450126
-
Elfwing S, Uchibe E, Doya K. Scaled free-energy based reinforcement learning for robust and efficient learning in high-dimensional state spaces. Front Neurorobot 2013; 7:3; PMID:23450126
-
(2013)
Front Neurorobot
, vol.7
, pp. 3
-
-
Elfwing, S.1
Uchibe, E.2
Doya, K.3
-
9
-
-
84872691614
-
An efficient piecewise linear model for predicting activity of caspase-3 inhibitors
-
PMID:23351435
-
Firoozpour L, Sadatnezhad K, Dehghani S, Pourbasheer E, Foroumadi A, Shafiee A, Amanlou M. An efficient piecewise linear model for predicting activity of caspase-3 inhibitors. Daru 2012; 20:31; PMID:23351435
-
(2012)
Daru
, vol.20
, pp. 31
-
-
Firoozpour, L.1
Sadatnezhad, K.2
Dehghani, S.3
Pourbasheer, E.4
Foroumadi, A.5
Shafiee, A.6
Amanlou, M.7
-
10
-
-
84870233667
-
Evolving granular neural networks from fuzzy data streams
-
PMID:23201554
-
Leite D, Costa P, Gomide F. Evolving granular neural networks from fuzzy data streams. Neural Netw 2013; 38:1-16; PMID:23201554; http://dx.doi. org/10.1016/j.neunet.2012.10.006.
-
(2013)
Neural Netw
, vol.38
, pp. 1-16
-
-
Leite, D.1
Costa, P.2
Gomide, F.3
-
11
-
-
33750006879
-
AliBaba: PubMed as a graph
-
PMID:16870931
-
Plake C, Schiemann T, Pankalla M, Hakenberg J, Leser U. AliBaba: PubMed as a graph. Bioinformatics 2006; 22:2444-5; PMID:16870931; http://dx.doi. org/10.1093/bioinformatics/btl408.
-
(2006)
Bioinformatics
, vol.22
, pp. 2444-2445
-
-
Plake, C.1
Schiemann, T.2
Pankalla, M.3
Hakenberg, J.4
Leser, U.5
-
12
-
-
0035895205
-
PubMed Central: The GenBank of the published literature
-
PMID:11209037
-
Roberts RJ. PubMed Central: The GenBank of the published literature. Proc Natl Acad Sci USA 2001; 98:381-2; PMID:11209037; http://dx.doi. org/10.1073/pnas.98.2.381.
-
(2001)
Proc Natl Acad Sci USA
, vol.98
, pp. 381-382
-
-
Roberts, R.J.1
-
13
-
-
84868587432
-
Digital biology: A new era has begun
-
PMID:23099453
-
Sleator RD. Digital biology: a new era has begun. Bioengineered 2012; 3:311-2; PMID:23099453; http://dx.doi.org/10.4161/bioe.22367.
-
(2012)
Bioengineered
, vol.3
, pp. 311-312
-
-
Sleator, R.D.1
-
15
-
-
65549136186
-
An introduction to artificial neural networks in bioinformatics--application to complex microarray and mass spectrometry datasets in cancer studies
-
PMID:19307287
-
Lancashire LJ, Lemetre C, Ball GR. An introduction to artificial neural networks in bioinformatics--application to complex microarray and mass spectrometry datasets in cancer studies. Brief Bioinform 2009; 10:315-29; PMID:19307287; http://dx.doi. org/10.1093/bib/bbp012.
-
(2009)
Brief Bioinform
, vol.10
, pp. 315-329
-
-
Lancashire, L.J.1
Lemetre, C.2
Ball, G.R.3
-
16
-
-
77952763424
-
Neural Networks
-
In: Carugo O, Eisenhaber F, eds Humana Press
-
Yang Z. Neural Networks. In: Carugo O, Eisenhaber F, eds. Data Mining Techniques for the Life Sciences: Humana Press, 2010:197-222.
-
(2010)
Data Mining Techniques for the Life Sciences
, pp. 197-222
-
-
Yang, Z.1
-
17
-
-
0037862841
-
A comprehensive review for industrial applicability of artificial neural networks. Industrial Electronics
-
Meireles MR, Almeida PE, Simões MG. A comprehensive review for industrial applicability of artificial neural networks. Industrial Electronics. IEEE Transactions on 2003; 50:585-601
-
(2003)
IEEE Transactions on
, vol.50
, pp. 585-601
-
-
Meireles, M.R.1
Almeida, P.E.2
Simões, M.G.3
-
18
-
-
0022471098
-
Learning representations by back-propagating errors
-
Rumelhart DE, Hintont GE, Williams RJ. Learning representations by back-propagating errors. Nature 1986; 323:533-6; http://dx.doi. org/10.1038/323533a0.
-
(1986)
Nature
, vol.323
, pp. 533-536
-
-
Rumelhart, D.E.1
Hintont, G.E.2
Williams, R.J.3
-
19
-
-
0026351408
-
Locating protein-coding regions in human DNA sequences by a multiple sensor-neural network approach
-
PMID:1763041
-
Uberbacher EC, Mural RJ. Locating protein-coding regions in human DNA sequences by a multiple sensor-neural network approach. Proc Natl Acad Sci USA 1991; 88:11261-5; PMID:1763041; http:// dx.doi.org/10.1073/pnas.88.24.11261.
-
(1991)
Proc Natl Acad Sci USA
, vol.88
, pp. 11261-11265
-
-
Uberbacher, E.C.1
Mural, R.J.2
-
20
-
-
0023803244
-
Predicting the secondary structure of globular proteins using neural network models
-
PMID:3172241
-
Qian N, Sejnowski TJ. Predicting the secondary structure of globular proteins using neural network models. J Mol Biol 1988; 202:865-84; PMID:3172241; http://dx.doi.org/10.1016/0022-2836(88)90564-5.
-
(1988)
J Mol Biol
, vol.202
, pp. 865-884
-
-
Qian, N.1
Sejnowski, T.J.2
-
24
-
-
0024931167
-
A new approach for finding the global minimum of error function of neural networks
-
Baba N. A new approach for finding the global minimum of error function of neural networks. Neural Netw 1989; 2:367-73; http://dx.doi. org/10.1016/0893-6080(89)90021-X.
-
(1989)
Neural Netw
, vol.2
, pp. 367-373
-
-
Baba, N.1
-
25
-
-
0026017007
-
Creating artificial neural networks that generalize
-
Sietsma J, Dow RJ. Creating artificial neural networks that generalize. Neural Netw 1991; 4:67-79; http://dx.doi.org/10.1016/0893-6080(91)90033-2.
-
(1991)
Neural Netw
, vol.4
, pp. 67-79
-
-
Sietsma, J.1
Dow, R.J.2
-
26
-
-
80053625918
-
A new formulation for feedforward neural networks
-
PMID:21859600
-
Razavi S, Tolson BA. A new formulation for feedforward neural networks. IEEE Trans Neural Netw 2011; 22:1588-98; PMID:21859600; http://dx.doi. org/10.1109/TNN.2011.2163169.
-
(2011)
IEEE Trans Neural Netw
, vol.22
, pp. 1588-1598
-
-
Razavi, S.1
Tolson, B.A.2
-
27
-
-
0032146239
-
Artificial neural networks (the multilayer perceptron)-a review of applications in the atmospheric sciences
-
Gardner M, Dorling S. Artificial neural networks (the multilayer perceptron)-a review of applications in the atmospheric sciences. Atmos Environ 1998; 32:2627-36; http://dx.doi.org/10.1016/ S1352-2310(97)00447-0.
-
(1998)
Atmos Environ
, vol.32
, pp. 2627-2636
-
-
Gardner, M.1
Dorling, S.2
-
28
-
-
11144273669
-
The perceptron: A probabilistic model for information storage and organization in the brain
-
PMID:13602029
-
Rosenblatt F. The perceptron: a probabilistic model for information storage and organization in the brain. Psychol Rev 1958; 65:386-408; PMID:13602029; http://dx.doi.org/10.1037/h0042519.
-
(1958)
Psychol Rev
, vol.65
, pp. 386-408
-
-
Rosenblatt, F.1
-
29
-
-
0025488663
-
30 years of adaptive neural networks: Perceptron, madaline, and backpropagation
-
Widrow B, Lehr MA. 30 years of adaptive neural networks: perceptron, madaline, and backpropagation. Proc IEEE 1990; 78:1415-42; http://dx.doi. org/10.1109/5.58323.
-
(1990)
Proc IEEE
, vol.78
, pp. 1415-1442
-
-
Widrow, B.1
Lehr, M.A.2
-
30
-
-
0031128330
-
On fault tolerant training of feedforward neural networks
-
Arad BS, El-Amawy A. On fault tolerant training of feedforward neural networks. Neural Netw 1997; 10:539-53; http://dx.doi.org/10.1016/ S0893-6080(96)00089-5.
-
(1997)
Neural Netw
, vol.10
, pp. 539-553
-
-
Arad, B.S.1
El-Amawy, A.2
-
31
-
-
0034970056
-
Clinical validation of an artificial neural network trained to identify acute allograft rejection in liver transplant recipients
-
PMID:11443576
-
Hughes VF, Melvin DG, Niranjan M, Alexander GA, Trull AK. Clinical validation of an artificial neural network trained to identify acute allograft rejection in liver transplant recipients. Liver Transpl 2001; 7:496-503; PMID:11443576; http://dx.doi.org/10.1053/ jlts.2001.24642.
-
(2001)
Liver Transpl
, vol.7
, pp. 496-503
-
-
Hughes, V.F.1
Melvin, D.G.2
Niranjan, M.3
Alexander, G.A.4
Trull, A.K.5
-
32
-
-
0002932077
-
Backpropagation can give rise to spurious local minima even for networks without hidden layers
-
Sontag ED, Sussmann HJ. Backpropagation can give rise to spurious local minima even for networks without hidden layers. AIP Conf Proc 1989; 3:91-106
-
(1989)
AIP Conf Proc
, vol.3
, pp. 91-106
-
-
Sontag, E.D.1
Sussmann, H.J.2
-
33
-
-
0037083655
-
Novel artificial neural network for early detection of prostate cancer
-
PMID:11844812
-
Djavan B, Remzi M, Zlotta A, Seitz C, Snow P, Marberger M. Novel artificial neural network for early detection of prostate cancer. J Clin Oncol 2002; 20:921-9; PMID:11844812; http://dx.doi. org/10.1200/JCO.20.4.921.
-
(2002)
J Clin Oncol
, vol.20
, pp. 921-929
-
-
Djavan, B.1
Remzi, M.2
Zlotta, A.3
Seitz, C.4
Snow, P.5
Marberger, M.6
-
34
-
-
0024866495
-
On the approximate realization of continuous mappings by neural networks
-
Funahashi K-I. On the approximate realization of continuous mappings by neural networks. Neural Netw 1989; 2:183-92; http://dx.doi. org/10.1016/0893-6080(89)90003-8.
-
(1989)
Neural Netw
, vol.2
, pp. 183-192
-
-
Funahashi, K.-I.1
-
35
-
-
0028563264
-
Design and evolution of modular neural network architectures
-
Happel BL, Murre JM. Design and evolution of modular neural network architectures. Neural Netw 1994; 7:985-1004; http://dx.doi.org/10.1016/ S0893-6080(05)80155-8.
-
(1994)
Neural Netw
, vol.7
, pp. 985-1004
-
-
Happel, B.L.1
Murre, J.M.2
-
36
-
-
84994831838
-
Design a PID controller for suspension system by back propagation neural network
-
Homaei H. Design a PID controller for suspension system by back propagation neural network. J Eng 2013; 2013:421543
-
(2013)
J Eng
, vol.2013
, pp. 421543
-
-
Homaei, H.1
-
37
-
-
0024861871
-
Approximation by superpositions of a sigmoidal function
-
Cybenko G. Approximation by superpositions of a sigmoidal function. Math Contr Signals Syst 1989; 2:303-14; http://dx.doi.org/10.1007/BF02551274.
-
(1989)
Math Contr Signals Syst
, vol.2
, pp. 303-314
-
-
Cybenko, G.1
-
39
-
-
33745858913
-
Implementation of a fast artificial neural network library (fann)
-
Department of Computer Science University of Copenhagen (DIKU)
-
Nissen S. Implementation of a fast artificial neural network library (fann). Report, Department of Computer Science University of Copenhagen (DIKU) 2003; 31.
-
(2003)
Report
, pp. 31
-
-
Nissen, S.1
-
40
-
-
84859127815
-
A recurrent neural network for closed-loop intracortical brain-machine interface decoders
-
PMID:22427488
-
Sussillo D, Nuyujukian P, Fan JM, Kao JC, Stavisky SD, Ryu S, Shenoy K. A recurrent neural network for closed-loop intracortical brain-machine interface decoders. J Neural Eng 2012; 9:026027; PMID:22427488; http://dx.doi.org/10.1088/1741-2560/9/2/026027.
-
(2012)
J Neural Eng
, vol.9
, pp. 026027
-
-
Sussillo, D.1
Nuyujukian, P.2
Fan, J.M.3
Kao, J.C.4
Stavisky, S.D.5
Ryu, S.6
Shenoy, K.7
-
41
-
-
79955599894
-
CAST: Using neural networks to improve trading systems based on technical analysis by means of the RSI financial indicator
-
Rodríguez-González A, García-Crespo Á, Colomo-Palacios R, Guldrís Iglesias F, Gómez-Berbís JM. CAST: Using neural networks to improve trading systems based on technical analysis by means of the RSI financial indicator. Expert Syst Appl 2011; 38:11489-500; http://dx.doi.org/10.1016/j.eswa.2011.03.023.
-
(2011)
Expert Syst Appl
, vol.38
, pp. 11489-11500
-
-
Rodríguez-González, A.1
García-Crespo, Á.2
Colomo-Palacios, R.3
Guldrís Iglesias, F.4
Gómez-Berbís, J.M.5
-
42
-
-
18744438529
-
Artificial neural network-aided image analysis system for cell counting
-
PMID:10331623, (SICI)1097-0320(19990501)36:1<18::AID-CYTO3>3.0. CO;2-J
-
Sjöström PJ, Frydel BR, Wahlberg LU. Artificial neural network-aided image analysis system for cell counting. Cytometry 1999; 36:18-26; PMID:10331623; http://dx.doi.org/10.1002/
-
(1999)
Cytometry
, vol.36
, pp. 18-26
-
-
Sjöström, P.J.1
Frydel, B.R.2
Wahlberg, L.U.3
-
43
-
-
84871868177
-
Feedback-dependent generalization
-
PMID:23054603
-
Taylor JA, Hieber LL, Ivry RB. Feedback-dependent generalization. J Neurophysiol 2013; 109:202-15; PMID:23054603; http://dx.doi.org/10.1152/ jn.00247.2012.
-
(2013)
J Neurophysiol
, vol.109
, pp. 202-215
-
-
Taylor, J.A.1
Hieber, L.L.2
Ivry, R.B.3
-
44
-
-
0024137490
-
Increased rates of convergence through learning rate adaptation
-
Jacobs RA. Increased rates of convergence through learning rate adaptation. Neural Netw 1988; 1:295-307; http://dx.doi. org/10.1016/0893-6080(88)90003-2.
-
(1988)
Neural Netw
, vol.1
, pp. 295-307
-
-
Jacobs, R.A.1
-
45
-
-
10944238040
-
The improvements of BP neural network learning algorithm
-
Jin W, Li ZJ, Wei LS, Zhen H. The improvements of BP neural network learning algorithm. Signal Processing Proceedings, 2000 WCCC-ICSP 2000 5th International Conference on: IEEE, 2000:1647-9.
-
(2000)
Signal Processing Proceedings, 2000 WCCC-ICSP 2000 5th International Conference on: IEEE
, pp. 1647-1649
-
-
Jin, W.1
Li, Z.J.2
Wei, L.S.3
Zhen, H.4
-
46
-
-
0033116881
-
Analysis of learning rate and momentum term in backpropagation neural network algorithm trained to predict pavement performance
-
Attoh-Okine NO. Analysis of learning rate and momentum term in backpropagation neural network algorithm trained to predict pavement performance. Adv Eng Software 1999; 30:291-302; http://dx.doi. org/10.1016/S0965-9978(98)00071-4.
-
(1999)
Adv Eng Software
, vol.30
, pp. 291-302
-
-
Attoh-Okine, N.O.1
-
47
-
-
0004235910
-
-
2nd ed. Basingstoke: Palgrave
-
Picton P. Neural networks. 2nd ed. Basingstoke: Palgrave; 2000.
-
(2000)
Neural networks
-
-
Picton, P.1
-
49
-
-
84892588892
-
-
eds. 1988 Jun 17-26. Carnegie Mellon University, Pittsburgh, PA. San Mateo, CA: Morgan Kauffman
-
Touretzky DS, Sejnowski TJ, Hinton GE, eds. Proceedings of the 1988 Connectionist Models Summer School; 1988 Jun 17-26. Carnegie Mellon University, Pittsburgh, PA. San Mateo, CA: Morgan Kauffman; 1988
-
(1988)
Proceedings of the 1988 Connectionist Models Summer School
-
-
Touretzky, D.S.1
Sejnowski, T.J.2
Hinton, G.E.3
-
50
-
-
0030297904
-
Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes
-
PMID:8892489
-
Tu JV. Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes. J Clin Epidemiol 1996; 49:1225-31; PMID:8892489; http://dx.doi. org/10.1016/S0895-4356(96)00002-9.
-
(1996)
J Clin Epidemiol
, vol.49
, pp. 1225-1231
-
-
Tu, J.V.1
-
51
-
-
0026119038
-
Symbolic and neural learning algorithms: An experimental comparison
-
Shavlik JW, Mooney RJ, Towell GG. Symbolic and neural learning algorithms: An experimental comparison. Mach Learn 1991; 6:111-43; http://dx.doi. org/10.1007/BF00114160.
-
(1991)
Mach Learn
, vol.6
, pp. 111-143
-
-
Shavlik, J.W.1
Mooney, R.J.2
Towell, G.G.3
-
52
-
-
0001447184
-
Neural network studies. 1. Comparison of overfitting and overtraining
-
Tetko IV, Livingstone DJ, Luik AI. Neural network studies. 1. Comparison of overfitting and overtraining. J Chem Inf Comput Sci 1995; 35:826-33; http:// dx.doi.org/10.1021/ci00027a006.
-
(1995)
J Chem Inf Comput Sci
, vol.35
, pp. 826-833
-
-
Tetko, I.V.1
Livingstone, D.J.2
Luik, A.I.3
-
53
-
-
0031105739
-
Introduction neural networks in remote sensing
-
Atkinson PM, Tatnall A. Introduction neural networks in remote sensing. Int J Remote Sens 1997; 18:699-709; http://dx.doi.org/10.1080/014311697218700.
-
(1997)
Int J Remote Sens
, vol.18
, pp. 699-709
-
-
Atkinson, P.M.1
Tatnall, A.2
-
54
-
-
0004042460
-
Proben1: A set of neural network benchmark problems and benchmarking rules
-
Prechelt L. Proben1: A set of neural network benchmark problems and benchmarking rules. Fakultät für Informatik, Univ Karlsruhe, Karlsruhe, Germany, Tech Rep 1994; 21:94.
-
(1994)
Fakultät für Informatik, Univ Karlsruhe, Karlsruhe, Germany, Tech Rep
, vol.21
, pp. 94
-
-
Prechelt, L.1
-
55
-
-
84884153831
-
An effective, practical and low computational cost framework for the integration of heterogeneous data to predict functional associations between proteins by means of artificial neural networks
-
Florido J, Pomares H, Rojas I, Guillén A, Ortuno F, Urquiza J. An effective, practical and low computational cost framework for the integration of heterogeneous data to predict functional associations between proteins by means of artificial neural networks. Neurocomputing 2013; 121:64-78; http://dx.doi. org/10.1016/j.neucom.2012.11.040.
-
(2013)
Neurocomputing
, vol.121
, pp. 64-78
-
-
Florido, J.1
Pomares, H.2
Rojas, I.3
Guillén, A.4
Ortuno, F.5
Urquiza, J.6
-
56
-
-
33645825183
-
Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer
-
PMID:16585533
-
Ein-Dor L, Zuk O, Domany E. Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer. Proc Natl Acad Sci USA 2006; 103:5923-8; PMID:16585533; http://dx.doi. org/10.1073/pnas.0601231103.
-
(2006)
Proc Natl Acad Sci USA
, vol.103
, pp. 5923-5928
-
-
Ein-Dor, L.1
Zuk, O.2
Domany, E.3
-
57
-
-
35348891430
-
Network-based classification of breast cancer metastasis
-
PMID:17940530
-
Chuang H-Y, Lee E, Liu Y-T, Lee D, Ideker T. Network-based classification of breast cancer metastasis. Mol Syst Biol 2007; 3:140; PMID:17940530; http://dx.doi.org/10.1038/msb4100180.
-
(2007)
Mol Syst Biol
, vol.3
, pp. 140
-
-
Chuang, H.-Y.1
Lee, E.2
Liu, Y.-T.3
Lee, D.4
Ideker, T.5
-
58
-
-
79952423666
-
Subnetwork state functions define dysregulated subnetworks in cancer
-
PMID:21385033
-
Chowdhury SA, Nibbe RK, Chance MR, Koyutürk M. Subnetwork state functions define dysregulated subnetworks in cancer. J Comput Biol 2011; 18:263-81; PMID:21385033; http://dx.doi.org/10.1089/ cmb.2010.0269.
-
(2011)
J Comput Biol
, vol.18
, pp. 263-281
-
-
Chowdhury, S.A.1
Nibbe, R.K.2
Chance, M.R.3
Koyutürk, M.4
-
59
-
-
45949121309
-
Fast simulated annealing
-
Szu H, Hartley R. Fast simulated annealing. Phys Lett A 1987; 122:157-62; http://dx.doi. org/10.1016/0375-9601(87)90796-1.
-
(1987)
Phys Lett A
, vol.122
, pp. 157-162
-
-
Szu, H.1
Hartley, R.2
-
60
-
-
33644877879
-
A modified error backpropagation algorithm for complex-value neural networks
-
PMID:16385633
-
Chen X, Tang Z, Variappan C, Li S, Okada T. A modified error backpropagation algorithm for complex-value neural networks. Int J Neural Syst 2005; 15:435-43; PMID:16385633; http://dx.doi. org/10.1142/S0129065705000426.
-
(2005)
Int J Neural Syst
, vol.15
, pp. 435-443
-
-
Chen, X.1
Tang, Z.2
Variappan, C.3
Li, S.4
Okada, T.5
-
61
-
-
0026745182
-
On the problem of local minima in backpropagation
-
Gori M, Tesi A. On the problem of local minima in backpropagation. IEEE Trans Pattern Anal Mach Intell 1992; 14:76-86; http://dx.doi. org/10.1109/34.107014.
-
(1992)
IEEE Trans Pattern Anal Mach Intell
, vol.14
, pp. 76-86
-
-
Gori, M.1
Tesi, A.2
-
62
-
-
0001698980
-
Backpropagation is sensitive to initial conditions
-
Pollack JB. Backpropagation is sensitive to initial conditions. Complex Systems 1990; 4:269-80
-
(1990)
Complex Systems
, vol.4
, pp. 269-280
-
-
Pollack, J.B.1
-
63
-
-
0036594106
-
Evolving neural networks through augmenting topologies
-
PMID:12180173
-
Stanley KO, Miikkulainen R. Evolving neural networks through augmenting topologies. Evol Comput 2002; 10:99-127; PMID:12180173; http://dx.doi. org/10.1162/106365602320169811.
-
(2002)
Evol Comput
, vol.10
, pp. 99-127
-
-
Stanley, K.O.1
Miikkulainen, R.2
-
64
-
-
84875792376
-
Understanding and detecting misfire in an HCCI engine fuelled with ethanol
-
Bahri B, Aziz AA, Shahbakhti M, Muhamad Said MF. Understanding and detecting misfire in an HCCI engine fuelled with ethanol. Appl Energy 2013; 108:24-33; http://dx.doi.org/10.1016/j. apenergy.2013.03.004.
-
(2013)
Appl Energy
, vol.108
, pp. 24-33
-
-
Bahri, B.1
Aziz, A.A.2
Shahbakhti, M.3
Muhamad Said, M.F.4
-
65
-
-
84890020619
-
Artificial intelligence vs. classical approaches: A new look at the prediction of flux decline in wastewater treatment
-
Mashhadi Meighani H, Dehghani A, Rekabdar F, Hemmati M, Goodarznia I. Artificial intelligence vs. classical approaches: a new look at the prediction of flux decline in wastewater treatment. Desalin Water Treat 2013; 51:7476-89; http://dx.doi.org/10.1080/1 9443994.2013.773861
-
(2013)
Desalin Water Treat
, vol.51
, pp. 7476-7489
-
-
Mashhadi Meighani, H.1
Dehghani, A.2
Rekabdar, F.3
Hemmati, M.4
Goodarznia, I.5
-
67
-
-
67649216412
-
A novel approach for determining the optimal number of hidden layer neurons for FNN's and its application in data mining
-
Xu S, Chen L. A novel approach for determining the optimal number of hidden layer neurons for FNN's and its application in data mining. International Conference on Information Technology and Applications: iCITA, 2008:683-6.
-
(2008)
International Conference on Information Technology and Applications: ICITA
, pp. 683-686
-
-
Xu, S.1
Chen, L.2
-
68
-
-
0342506462
-
Application of a neural network technique to rainfall-runoffmodelling
-
Shamseldin AY. Application of a neural network technique to rainfall-runoffmodelling. J Hydrol (Amst) 1997; 199:272-94; http://dx.doi.org/10.1016/ S0022-1694(96)03330-6.
-
(1997)
J Hydrol (Amst)
, vol.199
, pp. 272-294
-
-
Shamseldin, A.Y.1
-
69
-
-
33744505100
-
SExtractor: Software for source extraction
-
Bertin E, Arnouts S. SExtractor: Software for source extraction. Astron Astrophys Suppl Ser 1996; 117:393-404; http://dx.doi.org/10.1051/ aas:1996164.
-
(1996)
Astron Astrophys Suppl Ser
, vol.117
, pp. 393-404
-
-
Bertin, E.1
Arnouts, S.2
-
71
-
-
84878755856
-
Naturally selecting solutions: The use of genetic algorithms in bioinformatics
-
PMID:23222169
-
Manning T, Sleator RD, Walsh P. Naturally selecting solutions: the use of genetic algorithms in bioinformatics. Bioengineered 2013; 4:266-78; PMID:23222169; http://dx.doi.org/10.4161/ bioe.23041.
-
(2013)
Bioengineered
, vol.4
, pp. 266-278
-
-
Manning, T.1
Sleator, R.D.2
Walsh, P.3
-
76
-
-
4444262024
-
Why neural networks should not be used for HIV-1 protease cleavage site prediction
-
PMID:14988129
-
Rögnvaldsson T, You L. Why neural networks should not be used for HIV-1 protease cleavage site prediction. Bioinformatics 2004; 20:1702-9; PMID:14988129; http://dx.doi.org/10.1093/bioinformatics/ bth144.
-
(2004)
Bioinformatics
, vol.20
, pp. 1702-1709
-
-
Rögnvaldsson, T.1
You, L.2
-
77
-
-
84880458786
-
Design and analysis of classifier learning experiments in bioinformatics: Survey and case studies
-
PMID:22908127
-
Irsoy O, Yildiz OT, Alpaydin E. Design and analysis of classifier learning experiments in bioinformatics: survey and case studies. IEEE/ACM Trans Comput Biol Bioinform 2012; 9:1663-75; PMID:22908127
-
(2012)
IEEE/ACM Trans Comput Biol Bioinform
, vol.9
, pp. 1663-1675
-
-
Irsoy, O.1
Yildiz, O.T.2
Alpaydin, E.3
-
78
-
-
0036721272
-
Comparison of machine learning and traditional classifiers in glaucoma diagnosis
-
PMID:12214886
-
Chan K, Lee T-W, Sample PA, Goldbaum MH, Weinreb RN, Sejnowski TJ. Comparison of machine learning and traditional classifiers in glaucoma diagnosis. IEEE Trans Biomed Eng 2002; 49:963-74; http://dx.doi.org/10.1109/TBME.2002.802012; PMID:12214886
-
(2002)
IEEE Trans Biomed Eng
, vol.49
, pp. 963-974
-
-
Chan, K.1
Lee, T.-W.2
Sample, P.A.3
Goldbaum, M.H.4
Weinreb, R.N.5
Sejnowski, T.J.6
-
79
-
-
0141686299
-
Classifying gene expression data of cancer using classifier ensemble with mutually exclusive features
-
Cho S-B, Ryu J. Classifying gene expression data of cancer using classifier ensemble with mutually exclusive features. Proc IEEE 2002; 90:1744-53; http:// dx.doi.org/10.1109/JPROC.2002.804682.
-
(2002)
Proc IEEE
, vol.90
, pp. 1744-1753
-
-
Cho, S.-B.1
Ryu, J.2
-
81
-
-
0037306384
-
Support vector machines for diagnosis of breast tumors on US images
-
PMID:12583571
-
Chang R-F, Wu W-J, Moon WK, Chou Y-H, Chen D-R. Support vector machines for diagnosis of breast tumors on US images. Acad Radiol 2003; 10:189-97; PMID:12583571; http://dx.doi.org/10.1016/S1076-6332(03)80044-2.
-
(2003)
Acad Radiol
, vol.10
, pp. 189-197
-
-
Chang, R.-F.1
Wu, W.-J.2
Moon, W.K.3
Chou, Y.-H.4
Chen, D.-R.5
-
82
-
-
84555195983
-
Prediction of protein functions
-
PMID:22130980
-
Sleator RD. Prediction of protein functions. Methods Mol Biol 2012; 815:15-24; PMID:22130980; http:// dx.doi.org/10.1007/978-1-61779-424-7_2.
-
(2012)
Methods Mol Biol
, vol.815
, pp. 15-24
-
-
Sleator, R.D.1
-
83
-
-
79952365986
-
Comparative modelling of LysB from the mycobacterial bacteriophage Ardmore
-
PMID:21636995
-
Henry M, Coffey A, O'Mahony J, Sleator RD. Comparative modelling of LysB from the mycobacterial bacteriophage Ardmore. Bioeng Bugs 2011; 2:88-95; PMID:21636995; http://dx.doi.org/10.4161/ bbug.2.2.14138.
-
(2011)
Bioeng Bugs
, vol.2
, pp. 88-95
-
-
Henry, M.1
Coffey, A.2
O'Mahony, J.3
Sleator, R.D.4
-
84
-
-
0035961329
-
The structural basis of protein folding and its links with human disease
-
PMID:11260793
-
Dobson CM. The structural basis of protein folding and its links with human disease. Philos Trans R Soc Lond B Biol Sci 2001; 356:133-45; PMID:11260793; http://dx.doi.org/10.1098/rstb.2000.0758.
-
(2001)
Philos Trans R Soc Lond B Biol Sci
, vol.356
, pp. 133-145
-
-
Dobson, C.M.1
-
85
-
-
84861789038
-
Proteins: Form and function
-
PMID:22095055
-
Sleator RD. Proteins: form and function. Bioeng Bugs 2012; 3:80-5; PMID:22095055; http://dx.doi. org/10.4161/bbug.18303.
-
(2012)
Bioeng Bugs
, vol.3
, pp. 80-85
-
-
Sleator, R.D.1
-
86
-
-
84864436301
-
KoBaMIN: A knowledge-based minimization web server for protein structure refinement
-
PMID:22564897
-
Rodrigues JP, Levitt M, Chopra G. KoBaMIN: a knowledge-based minimization web server for protein structure refinement. Nucleic Acids Res 2012; 40:W323-8; PMID:22564897; http://dx.doi. org/10.1093/nar/gks376.
-
(2012)
Nucleic Acids Res
, vol.40
, pp. 323-328
-
-
Rodrigues, J.P.1
Levitt, M.2
Chopra, G.3
-
87
-
-
0031663369
-
The green fluorescent protein
-
PMID:9759496
-
Tsien RY. The green fluorescent protein. Annu Rev Biochem 1998; 67:509-44; PMID:9759496; http:// dx.doi.org/10.1146/annurev.biochem.67.1.509.
-
(1998)
Annu Rev Biochem
, vol.67
, pp. 509-544
-
-
Tsien, R.Y.1
-
88
-
-
84861204029
-
Protein secondary structure prediction using pattern recognition neural network
-
Rao PNDT, Kaladhar D, Sridhar G, Appa A. Protein secondary structure prediction using pattern recognition neural network. Int J Eng Sci 2010; 2:1752-7
-
(2010)
Int J Eng Sci
, vol.2
, pp. 1752-1757
-
-
Rao, P.N.D.T.1
Kaladhar, D.2
Sridhar, G.3
Appa, A.4
-
89
-
-
0027205884
-
A scaled conjugate gradient algorithm for fast supervised learning
-
Møller MF. A scaled conjugate gradient algorithm for fast supervised learning. Neural Netw 1993; 6:525-33; http://dx.doi.org/10.1016/S0893-6080(05)80056-5.
-
(1993)
Neural Netw
, vol.6
, pp. 525-533
-
-
Møller, M.F.1
-
90
-
-
0020997912
-
Dictionary of protein secondary structure: Pattern recognition of hydrogenbonded and geometrical features
-
PMID:6667333
-
Kabsch W, Sander C. Dictionary of protein secondary structure: pattern recognition of hydrogenbonded and geometrical features. Biopolymers 1983; 22:2577-637; PMID:6667333; http://dx.doi. org/10.1002/bip.360221211.
-
(1983)
Biopolymers
, vol.22
, pp. 2577-2637
-
-
Kabsch, W.1
Sander, C.2
-
91
-
-
0025183708
-
Basic local alignment search tool
-
PMID:2231712
-
Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. J Mol Biol 1990; 215:403-10; PMID:2231712.
-
(1990)
J Mol Biol
, vol.215
, pp. 403-410
-
-
Altschul, S.F.1
Gish, W.2
Miller, W.3
Myers, E.W.4
Lipman, D.J.5
-
92
-
-
0030801002
-
Gapped BLAST and PSI-BLAST: A new generation of protein database search programs
-
PMID:9254694
-
Altschul SF, Madden TL, Schäffer AA, Zhang J, Zhang Z, Miller W, Lipman DJ. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res 1997; 25:3389-402; PMID:9254694; http://dx.doi.org/10.1093/ nar/25.17.3389.
-
(1997)
Nucleic Acids Res
, vol.25
, pp. 3389-3402
-
-
Altschul, S.F.1
Madden, T.L.2
Schäffer, A.A.3
Zhang, J.4
Zhang, Z.5
Miller, W.6
Lipman, D.J.7
-
93
-
-
0034044314
-
The PSIPRED protein structure prediction server
-
PMID:10869041
-
McGuffin LJ, Bryson K, Jones DT. The PSIPRED protein structure prediction server. Bioinformatics 2000; 16:404-5; PMID:10869041; http://dx.doi. org/10.1093/bioinformatics/16.4.404.
-
(2000)
Bioinformatics
, vol.16
, pp. 404-405
-
-
McGuffin, L.J.1
Bryson, K.2
Jones, D.T.3
-
94
-
-
0027291015
-
Prediction of protein secondary structure at better than 70% accuracy
-
PMID:8345525
-
Rost B, Sander C. Prediction of protein secondary structure at better than 70% accuracy. J Mol Biol 1993; 232:584-99; PMID:8345525; http://dx.doi. org/10.1006/jmbi.1993.1413.
-
(1993)
J Mol Biol
, vol.232
, pp. 584-599
-
-
Rost, B.1
Sander, C.2
-
95
-
-
0033578684
-
Protein secondary structure prediction based on position-specific scoring matrices
-
PMID:10493868
-
Jones DT. Protein secondary structure prediction based on position-specific scoring matrices. J Mol Biol 1999; 292:195-202; PMID:10493868; http:// dx.doi.org/10.1006/jmbi.1999.3091.
-
(1999)
J Mol Biol
, vol.292
, pp. 195-202
-
-
Jones, D.T.1
-
96
-
-
0032606039
-
Critical assessment of methods of protein structure prediction (CASP): Round III
-
PMID:10526346
-
Moult J, Hubbard T, Fidelis K, Pedersen JT. Critical assessment of methods of protein structure prediction (CASP): round III. Proteins 1999; 37(Suppl 3):2-6; PMID:10526346
-
(1999)
Proteins
, vol.37
, Issue.SUPPL. 3
, pp. 2-6
-
-
Moult, J.1
Hubbard, T.2
Fidelis, K.3
Pedersen, J.T.4
-
97
-
-
0035702809
-
Critical assessment of methods of protein structure prediction (CASP): Round IV
-
PMID:11835476
-
Moult J, Fidelis K, Zemla A, Hubbard T. Critical assessment of methods of protein structure prediction (CASP): round IV. Proteins 2001; 45(Suppl 5):2-7; PMID:11835476
-
(2001)
Proteins
, vol.45
, Issue.SUPPL. 5
, pp. 2-7
-
-
Moult, J.1
Fidelis, K.2
Zemla, A.3
Hubbard, T.4
-
98
-
-
77954818578
-
An overview of the current status of eukaryote gene prediction strategies
-
PMID:20430068
-
Sleator RD. An overview of the current status of eukaryote gene prediction strategies. Gene 2010; 461:1-4; PMID:20430068; http://dx.doi. org/10.1016/j.gene.2010.04.008.
-
(2010)
Gene
, vol.461
, pp. 1-4
-
-
Sleator, R.D.1
-
99
-
-
85008025286
-
Gene identification: Classical and computational intelligence approaches
-
Bandyopadhyay S, Maulik U, Roy D. Gene identification: classical and computational intelligence approaches. IEEE SYS MAN CYBERN C Appl Rev 2008; 38:55-68; http://dx.doi.org/10.1109/ TSMCC.2007.906066
-
(2008)
IEEE SYS MAN CYBERN C Appl Rev
, vol.38
, pp. 55-68
-
-
Bandyopadhyay, S.1
Maulik, U.2
Roy, D.3
-
101
-
-
0027059264
-
Assessment of protein coding measures
-
PMID:1480466
-
Fickett JW, Tung C-S. Assessment of protein coding measures. Nucleic Acids Res 1992; 20:6441-50; PMID:1480466; http://dx.doi.org/10.1093/ nar/20.24.6441.
-
(1992)
Nucleic Acids Res
, vol.20
, pp. 6441-6450
-
-
Fickett, J.W.1
Tung, C.-S.2
-
102
-
-
0025312750
-
Codon usage tabulated from the GenBank genetic sequence data
-
PMID:2333226
-
Wada K, Aota S, Tsuchiya R, Ishibashi F, Gojobori T, Ikemura T. Codon usage tabulated from the GenBank genetic sequence data. Nucleic Acids Res 1990; 18(Suppl):2367-411; PMID:2333226; http:// dx.doi.org/10.1093/nar/18.suppl.2367.
-
(1990)
Nucleic Acids Res
, vol.18
, Issue.SUPPL.
, pp. 2367-2411
-
-
Wada, K.1
Aota, S.2
Tsuchiya, R.3
Ishibashi, F.4
Gojobori, T.5
Ikemura, T.6
-
103
-
-
0020480512
-
Recognition of protein coding regions in DNA sequences
-
PMID:7145702
-
Fickett JW. Recognition of protein coding regions in DNA sequences. Nucleic Acids Res 1982; 10:5303-18; PMID:7145702; http://dx.doi.org/10.1093/ nar/10.17.5303.
-
(1982)
Nucleic Acids Res
, vol.10
, pp. 5303-5318
-
-
Fickett, J.W.1
-
104
-
-
0030585734
-
Evaluation of gene structure prediction programs
-
PMID:8786136
-
Burset M, Guigó R. Evaluation of gene structure prediction programs. Genomics 1996; 34:353-67; PMID:8786136; http://dx.doi.org/10.1006/ geno.1996.0298.
-
(1996)
Genomics
, vol.34
, pp. 353-367
-
-
Burset, M.1
Guigó, R.2
-
105
-
-
0024634603
-
Phoneme recognition using time-delay neural networks
-
Waibel A, Hanazawa T, Hinton G, Shikano K, Lang KJ. Phoneme recognition using time-delay neural networks. IEEE Trans Acoust Speech Signal Process 1989; 37:328-39; http://dx.doi. org/10.1109/29.21701
-
(1989)
IEEE Trans Acoust Speech Signal Process
, vol.37
, pp. 328-339
-
-
Waibel, A.1
Hanazawa, T.2
Hinton, G.3
Shikano, K.4
Lang, K.J.5
-
106
-
-
84935413199
-
Modular construction of time-delay neural networks for speech recognition
-
Waibel A. Modular construction of time-delay neural networks for speech recognition. Neural Comput 1989; 1:39-46; http://dx.doi.org/10.1162/ neco.1989.1.1.39.
-
(1989)
Neural Comput
, vol.1
, pp. 39-46
-
-
Waibel, A.1
-
107
-
-
0034740227
-
Application of a time-delay neural network to promoter annotation in the Drosophila melanogaster genome
-
PMID:11765852
-
Reese MG. Application of a time-delay neural network to promoter annotation in the Drosophila melanogaster genome. Comput Chem 2001; 26:51-6; PMID:11765852; http://dx.doi.org/10.1016/S0097-8485(01)00099-7.
-
(2001)
Comput Chem
, vol.26
, pp. 51-56
-
-
Reese, M.G.1
-
108
-
-
84875297571
-
Identification of diverse full-length endogenous betaretroviruses in megabats and microbats
-
PMID:23537098
-
Hayward JA, Tachedjian M, Cui J, Field H, Holmes EC, Wang L-F, Tachedjian G. Identification of diverse full-length endogenous betaretroviruses in megabats and microbats. Retrovirology 2013; 10:35; PMID:23537098; http://dx.doi.org/10.1186/1742-4690-10-35.
-
(2013)
Retrovirology
, vol.10
, pp. 35
-
-
Hayward, J.A.1
Tachedjian, M.2
Cui, J.3
Field, H.4
Holmes, E.C.5
Wang, L.-F.6
Tachedjian, G.7
-
109
-
-
84874318428
-
Comparative genomics identifies the mouse Bmp3 promoter and an upstream evolutionary conserved region (ECR) in mammals
-
PMID:23451274
-
Lowery JW, Lavigne AW, Kokabu S, Rosen V. Comparative genomics identifies the mouse Bmp3 promoter and an upstream evolutionary conserved region (ECR) in mammals. PLoS ONE 2013; 8:e57840; PMID:23451274; http://dx.doi. org/10.1371/journal.pone.0057840.
-
(2013)
PLoS ONE
, vol.8
-
-
Lowery, J.W.1
Lavigne, A.W.2
Kokabu, S.3
Rosen, V.4
-
110
-
-
84877701691
-
Computational identification of operon-like transcriptional loci in eukaryotes
-
PMID:23668349
-
Nannapaneni K, Ben-Shahar Y, Keen HL, Welsh MJ, Casavant TL, Scheetz TE. Computational identification of operon-like transcriptional loci in eukaryotes. Comput Biol Med 2013; 43:738-43; PMID:23668349; http://dx.doi.org/10.1016/j.compbiomed. 2013.03.004.
-
(2013)
Comput Biol Med
, vol.43
, pp. 738-743
-
-
Nannapaneni, K.1
Ben-Shahar, Y.2
Keen, H.L.3
Welsh, M.J.4
Casavant, T.L.5
Scheetz, T.E.6
-
111
-
-
84874608066
-
Ribosomal protein SA and its pseudogenes in ruminants: An extremely conserved gene family
-
Van den Broeke A, Van Poucke M, Van Zeveren A, Peelman L. Ribosomal protein SA and its pseudogenes in ruminants: an extremely conserved gene family. Czech J Anim Sci 2013; 58:79-90
-
(2013)
Czech J Anim Sci
, vol.58
, pp. 79-90
-
-
Van den Broeke, A.1
Van Poucke, M.2
Van Zeveren, A.3
Peelman, L.4
-
112
-
-
84874093664
-
Promoter element arising from the fusion of standard BioBrick parts
-
PMID:23656374
-
Yao AI, Fenton TA, Owsley K, Seitzer P, Larsen DJ, Sit H, Lau J, Nair A, Tantiongloc J, Tagkopoulos I, et al. Promoter element arising from the fusion of standard BioBrick parts. ACS Synth Biol 2013; 2:111-20; PMID:23656374; http://dx.doi.org/10.1021/ sb300114d
-
(2013)
ACS Synth Biol
, vol.2
, pp. 111-120
-
-
Yao, A.I.1
Fenton, T.A.2
Owsley, K.3
Seitzer, P.4
Larsen, D.J.5
Sit, H.6
Lau, J.7
Nair, A.8
Tantiongloc, J.9
Tagkopoulos, I.10
-
113
-
-
77957171378
-
ATHENA: A knowledge-based hybrid backpropagation-grammatical evolution neural network algorithm for discovering epistasis among quantitative trait Loci
-
PMID:20875103
-
Turner SD, Dudek SM, Ritchie MD. ATHENA: A knowledge-based hybrid backpropagation-grammatical evolution neural network algorithm for discovering epistasis among quantitative trait Loci. BioData Min 2010; 3:5; PMID:20875103
-
(2010)
BioData Min
, vol.3
, pp. 5
-
-
Turner, S.D.1
Dudek, S.M.2
Ritchie, M.D.3
-
114
-
-
84892595452
-
-
eds. 2012 Apr 11-13. University of Málaga, Málaga, Spain. Heidelberg, Berlin: Springer
-
Giacobini M, Vanneschi L, Bush W, eds. Proceedings of the 10th European conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2012; 2012 Apr 11-13. University of Málaga, Málaga, Spain. Heidelberg, Berlin: Springer; 2012
-
(2012)
Proceedings of the 10th European conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2012
-
-
Giacobini, M.1
Vanneschi, L.2
Bush, W.3
-
115
-
-
84891437816
-
ATHENA: A tool for meta-dimensional analysis applied to genotypes and gene expression data to predict HDL cholesterol levels
-
World Scientific
-
Holzinger ER, Dudek SM, Frase AT, Krauss RM, Medina MW, Ritchie MD. ATHENA: A tool for meta-dimensional analysis applied to genotypes and gene expression data to predict HDL cholesterol levels. Pacific Symposium on Biocomputing Pacific Symposium on Biocomputing: World Scientific, 2013:385.
-
(2013)
Pacific Symposium on Biocomputing Pacific Symposium on Biocomputing
, pp. 385
-
-
Holzinger, E.R.1
Dudek, S.M.2
Frase, A.T.3
Krauss, R.M.4
Medina, M.W.5
Ritchie, M.D.6
-
116
-
-
77955883431
-
Initialization parameter sweep in ATHENA: Optimizing neural networks for detecting gene-gene interactions in the presence of small main effects
-
Holzinger ER, Buchanan CC, Dudek SM, Torstenson EC, Turner SD, Ritchie MD. Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of small main effects. Proceedings of the 12th annual conference on Genetic and evolutionary computation: ACM, 2010:203-10.
-
(2010)
Proceedings of the 12th annual conference on Genetic and evolutionary computation: ACM
, pp. 203-210
-
-
Holzinger, E.R.1
Buchanan, C.C.2
Dudek, S.M.3
Torstenson, E.C.4
Turner, S.D.5
Ritchie, M.D.6
-
118
-
-
66149131381
-
Sequence memory for prediction, inference and behaviour
-
PMID:19528001
-
Hawkins J, George D, Niemasik J. Sequence memory for prediction, inference and behaviour. Philos Trans R Soc Lond B Biol Sci 2009; 364:1203-9; PMID:19528001; http://dx.doi.org/10.1098/ rstb.2008.0322.
-
(2009)
Philos Trans R Soc Lond B Biol Sci
, vol.364
, pp. 1203-1209
-
-
Hawkins, J.1
George, D.2
Niemasik, J.3
-
119
-
-
84855358050
-
Hierarchical temporal memory including HTM cortical learning algorithms
-
Numenta, Inc, Palto Alto
-
Hawkins J, Ahmad S, Dubinsky D. Hierarchical temporal memory including HTM cortical learning algorithms. Techical report, Numenta, Inc, Palto Alto 2010.
-
(2010)
Techical report
-
-
Hawkins, J.1
Ahmad, S.2
Dubinsky, D.3
-
120
-
-
85032751458
-
Deep neural networks for acoustic modeling in speech recognition: The Shared Views of Four Research Groups
-
Hinton G, Deng L, Yu D, Dahl GE, Mohamed A-R, Jaitly N, Senior A, Vanhoucke V, Nguyen P, Sainath TN. Deep neural networks for acoustic modeling in speech recognition: the Shared Views of Four Research Groups. Signal Processing Magazine, IEEE 2012; 29:82-97
-
(2012)
Signal Processing Magazine, IEEE
, vol.29
, pp. 82-97
-
-
Hinton, G.1
Deng, L.2
Yu, D.3
Dahl, G.E.4
Mohamed, A.-R.5
Jaitly, N.6
Senior, A.7
Vanhoucke, V.8
Nguyen, P.9
Sainath, T.N.10
-
123
-
-
33745805403
-
A fast learning algorithm for deep belief nets
-
PMID:16764513
-
Hinton GE, Osindero S, Teh Y-W. A fast learning algorithm for deep belief nets. Neural Comput 2006; 18:1527-54; PMID:16764513; http://dx.doi. org/10.1162/neco.2006.18.7.1527.
-
(2006)
Neural Comput
, vol.18
, pp. 1527-1554
-
-
Hinton, G.E.1
Osindero, S.2
Teh, Y.-W.3
-
124
-
-
84055211743
-
Acoustic modeling using deep belief networks
-
Mohamed A-R, Dahl GE, Hinton G. Acoustic modeling using deep belief networks. IEEE T Audio Speech 2012; 20:14-22; http://dx.doi.org/10.1109/ TASL.2011.2109382
-
(2012)
IEEE T Audio Speech
, vol.20
, pp. 14-22
-
-
Mohamed, A.-R.1
Dahl, G.E.2
Hinton, G.3
-
125
-
-
80051654263
-
Deep belief networks using discriminative features for phone recognition. Acoustics, Speech and Signal Processing (ICASSP)
-
Mohamed A-R, Sainath TN, Dahl G, Ramabhadran B, Hinton GE, Picheny MA. Deep belief networks using discriminative features for phone recognition. Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on: IEEE, 2011:5060-3.
-
(2011)
2011 IEEE International Conference on: IEEE
, pp. 5060-5063
-
-
Mohamed, A.-R.1
Sainath, T.N.2
Dahl, G.3
Ramabhadran, B.4
Hinton, G.E.5
Picheny, M.A.6
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