-
1
-
-
84905661637
-
Economic implications of type 2 diabetes management
-
McAdam Marx C. Economic implications of type 2 diabetes management. Am J Manag Care 2013, 19:143-148.
-
(2013)
Am J Manag Care
, vol.19
, pp. 143-148
-
-
McAdam Marx, C.1
-
3
-
-
84875251123
-
Understanding the nature of information seeking behavior in critical care: Implications for the design of health information technology
-
Kannampallil T.G., Franklin A., Mishra R., Almoosa K.F., Cohen T., Patel V.L. Understanding the nature of information seeking behavior in critical care: Implications for the design of health information technology. Artif Intell Med 2013, 57:21-29.
-
(2013)
Artif Intell Med
, vol.57
, pp. 21-29
-
-
Kannampallil, T.G.1
Franklin, A.2
Mishra, R.3
Almoosa, K.F.4
Cohen, T.5
Patel, V.L.6
-
4
-
-
78149476267
-
Localized supervised metric learning on temporal physiological data
-
IEEE Computer Society, Washington, DC, USA
-
Sun J., Sow D., Hu J., Ebadollahi S. Localized supervised metric learning on temporal physiological data. Proceedings of the 2010 20th International Conference on Pattern Recognition, ICPR '10 2010, 4149-4152. IEEE Computer Society, Washington, DC, USA.
-
(2010)
Proceedings of the 2010 20th International Conference on Pattern Recognition, ICPR '10
, pp. 4149-4152
-
-
Sun, J.1
Sow, D.2
Hu, J.3
Ebadollahi, S.4
-
5
-
-
84879940846
-
Supervised patient similarity measure of heterogeneous patient records
-
Sun J., Wang F., Hu J., Edabollahi S. Supervised patient similarity measure of heterogeneous patient records. SIGKDD Explor 2012, 14:16-24.
-
(2012)
SIGKDD Explor
, vol.14
, pp. 16-24
-
-
Sun, J.1
Wang, F.2
Hu, J.3
Edabollahi, S.4
-
6
-
-
77958396896
-
Nearest neighbour searches and the curse of dimensionality
-
Marimont R.B., Shapiro M.B. Nearest neighbour searches and the curse of dimensionality. IMA J Appl Math 1979, 24:59-70.
-
(1979)
IMA J Appl Math
, vol.24
, pp. 59-70
-
-
Marimont, R.B.1
Shapiro, M.B.2
-
7
-
-
84908022891
-
Bag-of-words representation for biomedical time series classification
-
CoRR abs/1212.2262
-
Wang J, Liu P, She MF, Nahavandi S, Kouzani AZ. Bag-of-words representation for biomedical time series classification. CoRR abs/1212.2262; 2012.
-
(2012)
-
-
Wang, J.1
Liu, P.2
She, M.F.3
Nahavandi, S.4
Kouzani, A.Z.5
-
8
-
-
84870466073
-
Supervised learning and codebook optimization for bag of words models
-
Jiu M., Wolf C., Garcia C., Baskurt A. Supervised learning and codebook optimization for bag of words models. Cognitive Comput 2012, 4:409-419.
-
(2012)
Cognitive Comput
, vol.4
, pp. 409-419
-
-
Jiu, M.1
Wolf, C.2
Garcia, C.3
Baskurt, A.4
-
9
-
-
84857163395
-
Using modified multivariate bag-of-words models to classify physiological data
-
Spiliopoulou M, Wang H, Cook DJ, Pei J, Wang W, Zaïane OR, et al. editors.
-
Ordóñez P, Armstrong T, Oates T, Fackler J. Using modified multivariate bag-of-words models to classify physiological data. In: Spiliopoulou M, Wang H, Cook DJ, Pei J, Wang W, Zaïane OR, et al. editors. ICDM workshops. IEEE; 2011. p. 534-39.
-
(2011)
ICDM workshops. IEEE
, pp. 534-539
-
-
Ordóñez, P.1
Armstrong, T.2
Oates, T.3
Fackler, J.4
-
10
-
-
84861617363
-
An extensive experimental comparison of methods for multi-label learning
-
Madjarov G., Kocev D., Gjorgjevikj D., Dzeroski S. An extensive experimental comparison of methods for multi-label learning. Pattern Recognit 2012, 45:3084-3104.
-
(2012)
Pattern Recognit
, vol.45
, pp. 3084-3104
-
-
Madjarov, G.1
Kocev, D.2
Gjorgjevikj, D.3
Dzeroski, S.4
-
12
-
-
77953179079
-
Linear dimensionality reduction for multi-label classification
-
Morgan Kaufman Publishers Inc., San Francisco, CA, USA
-
Ji S., Ye J. Linear dimensionality reduction for multi-label classification. Proceedings of the 21st international jont conference on Artificial intelligence, IJCAI'09 2009, 1077-1082. Morgan Kaufman Publishers Inc., San Francisco, CA, USA.
-
(2009)
Proceedings of the 21st international jont conference on Artificial intelligence, IJCAI'09
, pp. 1077-1082
-
-
Ji, S.1
Ye, J.2
-
13
-
-
84867671576
-
Improving multi-label classification using semi-supervised learning and dimensionality reduction
-
Springer, P. Anthony, M. Ishizuka, D. Lukose (Eds.) PRICAI
-
Pacharawongsakda E., Nattee C., Theeramunkong T. Improving multi-label classification using semi-supervised learning and dimensionality reduction. Lecture notes in computer science 2012, vol. 7458:423-434. Springer. P. Anthony, M. Ishizuka, D. Lukose (Eds.).
-
(2012)
Lecture notes in computer science
, vol.7458
, pp. 423-434
-
-
Pacharawongsakda, E.1
Nattee, C.2
Theeramunkong, T.3
-
14
-
-
79960318399
-
Semi-supervised dimension reduction for multi-label classification
-
AAAI Press, M. Fox, D. Poole (Eds.)
-
Qian B., Davidson I. Semi-supervised dimension reduction for multi-label classification. AAAI 2010, AAAI Press. M. Fox, D. Poole (Eds.).
-
(2010)
AAAI
-
-
Qian, B.1
Davidson, I.2
-
15
-
-
85031008452
-
A shared task involving multi-label classification of clinical free text
-
BioNLP '07, association for computational linguistics. Stroudsburg, PA, USA;.
-
Pestian JP, Brew C, Matykiewicz P, Hovermale DJ, Johnson N, Cohen KB, et al. A shared task involving multi-label classification of clinical free text. In: Proceedings of the workshop on BioNLP 2007: biological, translational, and clinical language processing, BioNLP '07, association for computational linguistics. Stroudsburg, PA, USA; 2007. p. 97-104.
-
(2007)
Proceedings of the workshop on BioNLP 2007: biological, translational, and clinical language processing
, pp. 97-104
-
-
Pestian, J.P.1
Brew, C.2
Matykiewicz, P.3
Hovermale, D.J.4
Johnson, N.5
Cohen, K.B.6
-
16
-
-
55849133043
-
Diabetes-related microvascular and macrovascular diseases in the physical therapy setting
-
Cade W.T. Diabetes-related microvascular and macrovascular diseases in the physical therapy setting. Phys Ther 2008, 88:1322-1335.
-
(2008)
Phys Ther
, vol.88
, pp. 1322-1335
-
-
Cade, W.T.1
-
17
-
-
79955479858
-
Multiparameter intelligent monitoring in intensive care II (MIMIC-II): a public-access intensive care unit database
-
Saeed M., Villarroel M., Reisner A.T., Clifford G., Lehman L.-W., Moody G., et al. Multiparameter intelligent monitoring in intensive care II (MIMIC-II): a public-access intensive care unit database. Crit Care Med 2011, 39:952-960.
-
(2011)
Crit Care Med
, vol.39
, pp. 952-960
-
-
Saeed, M.1
Villarroel, M.2
Reisner, A.T.3
Clifford, G.4
Lehman, L.-W.5
Moody, G.6
-
18
-
-
33947681316
-
ML-KNN: a lazy learning approach to multi-label learning
-
Zhang M.-L., Zhou Z.-H. ML-KNN: a lazy learning approach to multi-label learning. Pattern Recognit 2007, 40:2038-2048.
-
(2007)
Pattern Recognit
, vol.40
, pp. 2038-2048
-
-
Zhang, M.-L.1
Zhou, Z.-H.2
-
20
-
-
0345134164
-
Histogram intersection kernel for image classification
-
Barla A, Odone F, Verri A. Histogram intersection kernel for image classification. In: ICIP (3). p. 513-16.
-
ICIP
, Issue.3
, pp. 513-516
-
-
Barla, A.1
Odone, F.2
Verri, A.3
-
21
-
-
13444286179
-
Locality preserving projections
-
MIT Press, Cambridge, MA, S. Thrun, L. Saul, B. Schölkopf (Eds.)
-
He X., Niyogi P. Locality preserving projections. Advances in neural information processing systems, vol. 16 2004, MIT Press, Cambridge, MA. S. Thrun, L. Saul, B. Schölkopf (Eds.).
-
(2004)
Advances in neural information processing systems, vol. 16
-
-
He, X.1
Niyogi, P.2
-
22
-
-
0032097263
-
-
Academic Press Professional, Inc., San Diego, CA, USA
-
Fukunaga K. Introduction to statistical pattern recognition 1990, Academic Press Professional, Inc., San Diego, CA, USA. 2nd ed.
-
(1990)
Introduction to statistical pattern recognition
-
-
Fukunaga, K.1
-
23
-
-
34249086815
-
Dimensionality reduction of multimodal labeled data by local fisher discriminant analysis
-
Sugiyama M. Dimensionality reduction of multimodal labeled data by local fisher discriminant analysis. J Mach Learning Res 2007, 8:1027-1061.
-
(2007)
J Mach Learning Res
, vol.8
, pp. 1027-1061
-
-
Sugiyama, M.1
-
24
-
-
84867183673
-
The prevention and treatment of missing data in clinical trials
-
Little R.J., D'Agostino R., Cohen M.L., Dickersin K., Emerson S.S., Farrar J.T., et al. The prevention and treatment of missing data in clinical trials. N Engl J Med 2012, 367:1355-1360.
-
(2012)
N Engl J Med
, vol.367
, pp. 1355-1360
-
-
Little, R.J.1
D'Agostino, R.2
Cohen, M.L.3
Dickersin, K.4
Emerson, S.S.5
Farrar, J.T.6
-
25
-
-
84884486714
-
Strategies for dealing with missing data in clinical trials: from design to analysis
-
Dziura J.D., Post L.A., Zhao Q., Fu Z., Peduzzi P. Strategies for dealing with missing data in clinical trials: from design to analysis. Yale J Biol Med 2013, 86:343-358.
-
(2013)
Yale J Biol Med
, vol.86
, pp. 343-358
-
-
Dziura, J.D.1
Post, L.A.2
Zhao, Q.3
Fu, Z.4
Peduzzi, P.5
-
26
-
-
77954801383
-
How much can we learn about missing data? An exploration of a clinical trial in psychiatry
-
Jackson D., White I.R., Leese M. How much can we learn about missing data? An exploration of a clinical trial in psychiatry. J R Stat Soc Ser A Stat Soc 2010, 173:593-612.
-
(2010)
J R Stat Soc Ser A Stat Soc
, vol.173
, pp. 593-612
-
-
Jackson, D.1
White, I.R.2
Leese, M.3
-
27
-
-
0000764772
-
The use of multiple measurements in taxonomic problems
-
Fisher R.A. The use of multiple measurements in taxonomic problems. Ann Eugenics 1936, 7:179-188.
-
(1936)
Ann Eugenics
, vol.7
, pp. 179-188
-
-
Fisher, R.A.1
-
28
-
-
79959252247
-
A dependent multilabel classification method derived from the k-nearest neighbor rule
-
Younes Z., Abdallah F., Denoeux T., Snoussi H. A dependent multilabel classification method derived from the k-nearest neighbor rule. EURASIP J Adv Sig Proc 2011, 2011.
-
(2011)
EURASIP J Adv Sig Proc
, vol.2011
-
-
Younes, Z.1
Abdallah, F.2
Denoeux, T.3
Snoussi, H.4
-
29
-
-
33748366796
-
Multilabel neural networks with applications to functional genomics and text categorization
-
Zhang M.-L., Zhou Z.-H. Multilabel neural networks with applications to functional genomics and text categorization. IEEE Trans Knowl Data Eng 2006, 18:1338-1351.
-
(2006)
IEEE Trans Knowl Data Eng
, vol.18
, pp. 1338-1351
-
-
Zhang, M.-L.1
Zhou, Z.-H.2
-
30
-
-
34249753618
-
Support-vector networks
-
Cortes C., Vapnik V. Support-vector networks. Mach Learning 1995, 20:273-297.
-
(1995)
Mach Learning
, vol.20
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
31
-
-
84866624983
-
A study of term weighting schemes using class information for text classification
-
ACM, New York, NY, USA
-
Ko Y. A study of term weighting schemes using class information for text classification. Proceedings of the 35th international ACM SIGIR conference on research and development in information retrieval, SIGIR'12 2012, 1029-1030. ACM, New York, NY, USA.
-
(2012)
Proceedings of the 35th international ACM SIGIR conference on research and development in information retrieval, SIGIR'12
, pp. 1029-1030
-
-
Ko, Y.1
-
32
-
-
62249222499
-
Efficient visual search of videos cast as text retrieval
-
Sivic J., Zisserman A. Efficient visual search of videos cast as text retrieval. IEEE Trans Pattern Anal Mach Intell 2009, 31:591-606.
-
(2009)
IEEE Trans Pattern Anal Mach Intell
, vol.31
, pp. 591-606
-
-
Sivic, J.1
Zisserman, A.2
-
33
-
-
35048835661
-
Efficient visual content retrieval and mining in videos
-
Springer, Berlin Heidelberg, K. Aizawa, Y. Nakamura, S. Satoh (Eds.) Advances in multimedia information processing - PCM 2004
-
Sivic J., Zisserman A. Efficient visual content retrieval and mining in videos. Lecture notes in computer science 2005, vol. 3332:471-478. Springer, Berlin Heidelberg. K. Aizawa, Y. Nakamura, S. Satoh (Eds.).
-
(2005)
Lecture notes in computer science
, vol.3332
, pp. 471-478
-
-
Sivic, J.1
Zisserman, A.2
-
35
-
-
77956163078
-
Mining multi-label data
-
Springer, O. Maimon, L. Rokach (Eds.)
-
Tsoumakas G., Katakis I., Vlahavas I.P. Mining multi-label data. Data mining and knowledge discovery handbook 2010, 667-685. Springer. O. Maimon, L. Rokach (Eds.).
-
(2010)
Data mining and knowledge discovery handbook
, pp. 667-685
-
-
Tsoumakas, G.1
Katakis, I.2
Vlahavas, I.P.3
-
36
-
-
0033905095
-
Boostexter: a boosting-based system for text categorization
-
Schapire R.E., Singer Y. Boostexter: a boosting-based system for text categorization. Mach Learning 2000, 39:135-168.
-
(2000)
Mach Learning
, vol.39
, pp. 135-168
-
-
Schapire, R.E.1
Singer, Y.2
-
37
-
-
77951132171
-
A methodology for training and validating a CAD system and potential pitfalls
-
[CARS 2004 - Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition]
-
Dundar M., Fung G., Bogoni L., Macari M., Megibow A., Rao B. A methodology for training and validating a CAD system and potential pitfalls. Int Congr Ser 2004, 1268:1010-1014. [CARS 2004 - Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition].
-
(2004)
Int Congr Ser
, vol.1268
, pp. 1010-1014
-
-
Dundar, M.1
Fung, G.2
Bogoni, L.3
Macari, M.4
Megibow, A.5
Rao, B.6
-
38
-
-
63249112814
-
Dimensionality and sample size considerations
-
In: Krishnaiah P, Kanal L. editors.
-
Jain A, Chandrasekaran B. Dimensionality and sample size considerations. In: Krishnaiah P, Kanal L. editors. Pattern recognition in practice; 1982. p. 835-55.
-
(1982)
Pattern recognition in practice
, pp. 835-855
-
-
Jain, A.1
Chandrasekaran, B.2
-
39
-
-
0023987733
-
On the sensitivity of linear discriminant analysis to sampling variation and analytical errors
-
Linnet K. On the sensitivity of linear discriminant analysis to sampling variation and analytical errors. Comput Biomed Res 1988, 21:158-168.
-
(1988)
Comput Biomed Res
, vol.21
, pp. 158-168
-
-
Linnet, K.1
-
40
-
-
84875259046
-
Multiple kernel local Fisher discriminant analysis for face recognition
-
[Special issue on Machine Learning in Intelligent Image Processing]
-
Wang Z., Sun X. Multiple kernel local Fisher discriminant analysis for face recognition. Signal Process 2013, 93:1496-1509. [Special issue on Machine Learning in Intelligent Image Processing].
-
(2013)
Signal Process
, vol.93
, pp. 1496-1509
-
-
Wang, Z.1
Sun, X.2
-
41
-
-
40849120440
-
On applying linear discriminant analysis for multi-labeled problems
-
Park C.H., Lee M. On applying linear discriminant analysis for multi-labeled problems. Pattern Recognit Lett 2008, 29:878-887.
-
(2008)
Pattern Recognit Lett
, vol.29
, pp. 878-887
-
-
Park, C.H.1
Lee, M.2
|