Articles in Scholarly Journals [Incomplete List]

1. Optimal Constrained Stationary Intervention in Gene Regulatory Networks
   EURASIP Journal on Bioinformatics and Systems Biology, vol. 2008, Article ID 620767, 10 pages, 2008
2. Inference of Boolean Networks Using Sensitivity Regularization
   EURASIP Journal on Bioinformatics and Systems Biology, vol. 2008, Article ID 780541, 12 pages, 2008
3. Inference of a Probabilistic Boolean Network from a Single Observed Temporal Sequence
   EURASIP Journal on Bioinformatics and Systems Biology, vol. 2007, Article ID 32454, 15 pages, 2007
4. Comparison of Gene Regulatory Networks via Steady-State Trajectories
   EURASIP Journal on Bioinformatics and Systems Biology, vol. 2007, Article ID 82702, 11 pages, 2007
5. Decorrelation of the True and Estimated Classifier Errors in High-Dimensional Settings
   EURASIP Journal on Bioinformatics and Systems Biology, vol. 2007, Article ID 38473, 12 pages, 2007
6. Validation of Computational Methods in Genomics
   Current Genomics, vol. 8, no. 1, pp. 1–19, 2007
7. Quantification of the Impact of Feature Selection on the Variance of Cross-Validation Error Estimation
   EURASIP Journal on Bioinformatics and Systems Biology, vol. 2007, Article ID 16354, 11 pages, 2007
8. Genetic Regulatory Networks
   EURASIP Journal on Bioinformatics and Systems Biology, vol. 2007, Article ID 17321, 2 pages, 2007
9. Model-based evaluation of clustering validation measures
   Pattern Recognition, vol. 40, no. 3, pp. 807–824, 2007
10. The impact of function perturbations in Boolean networks
    Bioinformatics, vol. 23, no. 10, pp. 1265–1273, 2007
11. Dynamics Preserving Size Reduction Mappings for Probabilistic Boolean Networks
    IEEE Transactions on Signal Processing, vol. 55, no. 5, pp. 2310–2322, 2007
12. Optimizing Consistency-Based Design of Context-Sensitive Gene Regulatory Networks
    IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 53, no. 11, pp. 2431–2437, 2006
13. IEEE Transactions on Signal Processing, vol. 54, no. 6, pp. 2375–2387, 2006
14. Guest Editorial Genomic Signal Processing
    IEEE Transactions on Signal Processing, vol. 54, no. 6, pp. 2373–2374, 2006
15. Design of Probabilistic Boolean Networks Under the Requirement of Contextual Data Consistency
    IEEE Transactions on Signal Processing, vol. 54, no. 9, pp. 3603–3613, 2006
16. Genetic test bed for feature selection
    Bioinformatics, vol. 22, no. 7, pp. 837–842, 2006
17. What should be expected from feature selection in small-sample settings
    Bioinformatics, vol. 22, no. 19, pp. 2430–2436, 2006
18. Inferring gene regulatory networks from time series data using the minimum description length principle
    Bioinformatics, vol. 22, no. 17, pp. 2129–2135, 2006
19. SNiPer-HD: improved genotype calling accuracy by an expectation-maximization algorithm for high-density SNP arrays
    Bioinformatics, vol. 23, no. 1, pp. 57–63, 2006
20. Optimal convex error estimators for classification
    Pattern Recognition, vol. 39, no. 9, pp. 1763–1780, 2006
21. Multi-class cancer classification using multinomial probit regression with Bayesian gene selection
    IEE Proceedings - Systems Biology, vol. 153, no. 2, p. 70, 2006
22. BMC Bioinformatics, vol. 7, no. 1, p. 274, 2006
23. Journal of Biological Systems, vol. 14, no. 1, p. 65, 2006
24. Normalization Benefits Microarray-Based Classification
    EURASIP Journal on Bioinformatics and Systems Biology, vol. 2006, Article ID 43056, 13 pages, 2006
25. Journal of Biological Systems, vol. 14, no. 2, p. 219, 2006
26. Feature selection algorithms to find strong genes
    Pattern Recognition Letters, vol. 26, no. 10, pp. 1444–1453, 2005
27. Exact performance of error estimators for discrete classifiers
    Pattern Recognition, vol. 38, no. 11, pp. 1799–1814, 2005
28. The fundamental role of pattern recognition for gene-expression/microarray data in bioinformatics
    Pattern Recognition, vol. 38, no. 12, pp. 2226–2228, 2005
29. Impact of error estimation on feature selection
    Pattern Recognition, vol. 38, no. 12, pp. 2472–2482, 2005
30. Steady-state probabilities for attractors in probabilistic Boolean networks
    Signal Processing, vol. 85, no. 10, pp. 1993–2013, 2005
31. Determination of the optimal number of features for quadratic discriminant analysis via the normal approximation to the discriminant distribution
    Pattern Recognition, vol. 38, no. 3, pp. 403–421, 2005
32. The coefficient of intrinsic dependence (feature selection using el CID)
    Pattern Recognition, vol. 38, no. 5, pp. 623–636, 2005
33. Optimal robust classifiers
    Pattern Recognition, vol. 38, no. 10, pp. 1520–1532, 2005
34. Generating Boolean networks with a prescribed attractor structure
    Bioinformatics, vol. 21, no. 21, pp. 4021–4025, 2005
35. Intervention in a family of Boolean networks
    Bioinformatics, vol. 22, no. 2, pp. 226–232, 2005
36. IEEE Signal Processing Magazine, vol. 22, no. 1, pp. 107–112, 2005
37. How many samples are needed to build a classifier: a general sequential approach
    Bioinformatics, vol. 21, no. 1, pp. 63–70, 2005
38. IEEE Signal Processing Magazine, vol. 22, no. 6, pp. 46–68, 2005
39. Noise factor analysis for cDNA microarrays
    Journal of Biomedical Optics, vol. 9, no. 4, p. 663, 2004
40. Automatic design of morphological operators
    Journal of Electronic Imaging, vol. 13, no. 3, p. 486, 2004
41. Intervention in context-sensitive probabilistic Boolean networks
    Bioinformatics, vol. 21, no. 7, pp. 1211–1218, 2004
42. Optimal number of features as a function of sample size for various classification rules
    Bioinformatics, vol. 21, no. 8, pp. 1509–1515, 2004
43. External control in Markovian genetic regulatory networks: the imperfect information case
    Bioinformatics, vol. 20, no. 6, pp. 924–930, 2004
44. Is cross-validation better than resubstitution for ranking genes?
    Bioinformatics, vol. 20, no. 2, pp. 253–258, 2004
45. Is cross-validation valid for small-sample microarray classification?
    Bioinformatics, vol. 20, no. 3, pp. 374–380, 2004
46. Growing genetic regulatory networks from seed genes
    Bioinformatics, vol. 20, no. 8, pp. 1241–1247, 2004
47. Which is better for cDNA-microarray-based classification: ratios or direct intensities
    Bioinformatics, vol. 20, no. 16, pp. 2513–2520, 2004
48. Boolean relationships among genes responsive to ionizing radiation in the NCI 60 ACDS
    Bioinformatics, vol. 21, no. 8, pp. 1542–1549, 2004
49. Gene Clustering Based on Clusterwide Mutual Information
    Journal of Computational Biology, vol. 11, no. 1, pp. 147–161, 2004
50. Superior feature-set ranking for small samples using bolstered error estimation
    Bioinformatics, vol. 21, no. 7, pp. 1046–1054, 2004
51. Optimal Filters with Multiresolution Apertures
    Journal of Mathematical Imaging and Vision, vol. 20, no. 3, pp. 237–250, 2004
52. A Lattice-Based Minimal Gray-Scale Switching Algorithm for Obtaining the Optimal Increasing Filter from the Optimal Filter
    Journal of Mathematical Imaging and Vision, vol. 21, no. 1, pp. 43–52, 2004
53. Nonlinear Filter Design Using Envelopes
    Journal of Mathematical Imaging and Vision, vol. 21, no. 1, pp. 81–97, 2004
54. A Bayesian approach to nonlinear probit gene selection and classification
    Journal of the Franklin Institute, vol. 341, no. 1-2, pp. 137–156, 2004
55. Bolstered error estimation
    Pattern Recognition, vol. 37, no. 6, pp. 1267–1281, 2004
56. A probabilistic theory of clustering
    Pattern Recognition, vol. 37, no. 5, pp. 917–925, 2004
57. Classifier performance as a function of distributional complexity
    Pattern Recognition, vol. 37, no. 8, pp. 1641–1651, 2004
58. A Bayesian connectivity-based approach to constructing probabilistic gene regulatory networks
    Bioinformatics, vol. 20, no. 17, pp. 2918–2927, 2004
59. Editorial
    EURASIP Journal on Applied Signal Processing, vol. 2004, no. 1, pp. 3–4, 2004
60. Gene Prediction Using Multinomial Probit Regression with Bayesian Gene Selection
    EURASIP Journal on Applied Signal Processing, vol. 2004, no. 1, pp. 115–124, 2004
61. Reduction Mappings between Probabilistic Boolean Networks
    EURASIP Journal on Applied Signal Processing, vol. 2004, no. 1, pp. 125–131, 2004
62. Genomic Signal Processing: The Salient Issues
    EURASIP Journal on Applied Signal Processing, vol. 2004, no. 1, pp. 146–153, 2004
63. Chemopreventive n-3 Polyunsaturated Fatty Acids Reprogram Genetic Signatures during Colon Cancer Initiation and Progression in the Rat
    Cancer Research, vol. 64, no. 18, pp. 6797–6804, 2004
64. Journal of Biological Systems, vol. 12, no. 3, p. 371, 2004
65. International Journal of Pattern Recognition and Artificial Intelligence, vol. 17, no. 2, p. 167, 2003
66. Morphological quantification of surface roughness
    Optical Engineering, vol. 42, no. 6, p. 1795, 2003
67. Machine Learning, vol. 52, no. 1/2, pp. 169–191, 2003
68. Genomic signal processing
    Signal Processing, vol. 83, no. 4, pp. 691–694, 2003
69. Efficient selection of feature sets possessing high coefficients of determination based on incremental determinations
    Signal Processing, vol. 83, no. 4, pp. 695–712, 2003
70. Construction of genomic networks using mutual-information clustering and reversible-jump Markov-chain-Monte-Carlo predictor design
    Signal Processing, vol. 83, no. 4, pp. 745–761, 2003
71. Mappings between probabilistic Boolean networks
    Signal Processing, vol. 83, no. 4, pp. 799–809, 2003
72. Design of multi-mask aperture filters
    Signal Processing, vol. 83, no. 9, pp. 1961–1971, 2003
73. Steady-state analysis of genetic regulatory networks modelled by probabilistic Boolean networks
    Comparative and Functional Genomics, vol. 4, no. 6, pp. 601–608, 2003
74. Gene selection: a Bayesian variable selection approach
    Bioinformatics, vol. 19, no. 1, pp. 90–97, 2003
75. Missing-value estimation using linear and non-linear regression with Bayesian gene selection
    Bioinformatics, vol. 19, no. 17, pp. 2302–2307, 2003
76. Design of optimal binary filters under joint multiresolution–envelope constraint
    Pattern Recognition Letters, vol. 24, no. 7, pp. 937–945, 2003
77. Granulometric parametric estimation for the random Boolean model using optimal linear filters and optimal structuring elements
    Pattern Recognition Letters, vol. 24, no. 1-3, pp. 283–293, 2003
78. Application of image-based granulometry to siliceous and calcareous estuarine and marine sediments
    Estuarine, Coastal and Shelf Science, vol. 58, no. 2, pp. 227–239, 2003
79. The role of certain Post classes in Boolean network models of genetic networks
    Proceedings of the National Academy of Sciences, vol. 100, no. 19, pp. 10734–10739, 2003
80. Machine Learning, vol. 52, no. 1/2, pp. 11–30, 2003
81. Corrected small-sample estimation of the Bayes error
    Bioinformatics, vol. 19, no. 8, pp. 944–951, 2003
82. RNAi Microarray Analysis in Cultured Mammalian Cells
    Genome Research, vol. 13, no. 10, pp. 2341–2347, 2003
83. Simulation of cDNA microarrays via a parameterized random signal model
    Journal of Biomedical Optics, vol. 7, no. 3, p. 507, 2002
84. From Boolean to probabilistic Boolean networks as models of genetic regulatory networks
    Proceedings of the IEEE, vol. 90, no. 11, pp. 1778–1792, 2002
85. Gene perturbation and intervention in probabilistic Boolean networks
    Bioinformatics, vol. 18, no. 10, pp. 1319–1331, 2002
86. Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks
    Bioinformatics, vol. 18, no. 2, pp. 261–274, 2002
87. Journal of Mathematical Imaging and Vision, vol. 16, no. 3, pp. 179–180, 2002
88. Simulation Toolbox for 3D-FISH Spot-Counting Algorithms
    Real-Time Imaging, vol. 8, no. 3, pp. 203–212, 2002
89. Inference from Clustering with Application to Gene-Expression Microarrays
    Journal of Computational Biology, vol. 9, no. 1, pp. 105–126, 2002
90. Strong Feature Sets from Small Samples
    Journal of Computational Biology, vol. 9, no. 1, pp. 127–146, 2002
91. Ratio statistics of gene expression levels and applications to microarray data analysis
    Bioinformatics, vol. 18, no. 9, pp. 1207–1215, 2002
92. Journal of Mathematical Imaging and Vision, vol. 17, no. 3, pp. 271–281, 2002
93. Journal of Mathematical Imaging and Vision, vol. 16, no. 3, pp. 199–222, 2002
94. Journal of Mathematical Imaging and Vision, vol. 16, no. 3, pp. 181–197, 2002
95. Optimal linear granulometric estimation for random sets
    Pattern Recognition, vol. 35, no. 6, pp. 1315–1325, 2002
96. Morphological spot counting from stacked images for automated analysis of gene copy numbers by fluorescence in situ hybridization
    Journal of Biomedical Optics, vol. 7, no. 1, p. 109, 2002
97. Journal of Biological Systems, vol. 10, no. 4, p. 431, 2002
98. Journal of Biological Systems, vol. 10, no. 4, p. 337, 2002
99. Asymptotic joint normality of the granulometric moments
    Pattern Recognition Letters, vol. 22, no. 14, pp. 1537–1543, 2001
100. Robust optimal granulometric bandpass filters
     Signal Processing, vol. 81, no. 7, pp. 1357–1372, 2001
101. Optimization of linear filters under power-spectral-density stabilization
     IEEE Transactions on Signal Processing, vol. 49, no. 10, pp. 2292–2300, 2001
102. Small sample issues for microarray-based classification
     Comparative and Functional Genomics, vol. 2, no. 1, pp. 28–34, 2001
103. Morphological granulometric estimation of random patterns in the context of parameterized random sets
     Pattern Recognition, vol. 34, no. 6, pp. 1207–1217, 2001
104. Non-homothetic granulometric mixing theory with application to blood cell counting
     Pattern Recognition, vol. 34, no. 12, pp. 2547–2560, 2001
105. Journal of Mathematical Imaging and Vision, vol. 14, no. 1, pp. 53–72, 2001
106. Bayesian robust optimal linear filters
     Signal Processing, vol. 81, no. 12, pp. 2503–2521, 2001
107. Multivariate Measurement of Gene Expression Relationships
     Genomics, vol. 67, no. 2, pp. 201–209, 2000
108. A Constant-time Algorithm for Erosions/Dilations with Applications to Morphological Texture Feature Computation
     Real-Time Imaging, vol. 6, no. 3, pp. 223–239, 2000
109. Coefficient of determination in nonlinear signal processing
     Signal Processing, vol. 80, no. 10, pp. 2219–2235, 2000
110. Aperture filters
     Signal Processing, vol. 80, no. 4, pp. 697–721, 2000
111. Heterogeneous morphological granulometries
     Pattern Recognition, vol. 33, no. 6, pp. 1047–1057, 2000
112. A switching algorithm for design of optimal increasing binary filters over large windows
     Pattern Recognition, vol. 33, no. 6, pp. 1059–1081, 2000
113. Hybrid human–machine binary morphological operator design. An independent constraint approach
     Signal Processing, vol. 80, no. 8, pp. 1469–1487, 2000
114. Nature, vol. 406, no. 6795, pp. 536–540, 2000
115. Multiresolution Bayesian design of binary filters
     Journal of Electronic Imaging, vol. 9, no. 3, p. 283, 2000
116. General nonlinear framework for the analysis of gene interaction via multivariate expression arrays
     Journal of Biomedical Optics, vol. 5, no. 4, p. 411, 2000
117. Iterative design of morphological binary image operators
     Optical Engineering, vol. 39, no. 12, p. 3106, 2000
118. Unsupervised morphological granulometric texture segmentation of digital mammograms
     Journal of Electronic Imaging, vol. 8, no. 1, p. 65, 1999
119. Two-stage binary filters
     Journal of Electronic Imaging, vol. 8, no. 3, p. 219, 1999
120. Maximum-likelihood estimation and optimal filtering in the nondirectional, one-dimensional binomial germ-grain model
     Pattern Recognition, vol. 32, no. 9, pp. 1529–1541, 1999
121. Journal of Mathematical Imaging and Vision, vol. 11, no. 3, pp. 239–254, 1999
122. Journal of Mathematical Imaging and Vision, vol. 10, no. 3, pp. 253–267, 1999
123. Probability distributions for discrete one-dimensional coverage processes
     Signal Processing, vol. 69, no. 2, pp. 163–168, 1999
124. Robustness of granulometric moments
     Pattern Recognition, vol. 32, no. 9, pp. 1657–1665, 1999
125. Secondarily constrained Boolean filters
     Signal Processing, vol. 71, no. 3, pp. 247–263, 1998
126. Asymptotic granulometric mixing theorem: Morphological estimation of sizing parameters and mixture proportions
     Pattern Recognition, vol. 31, no. 1, pp. 53–61, 1998
127. Robustness of optimal binary filters
     Journal of Electronic Imaging, vol. 7, no. 1, p. 117, 1998
128. Logical structural filters
     Optical Engineering, vol. 37, no. 6, p. 1668, 1998
129. Automatic programming of binary morphological machines by design of statistically optimal operators in the context of computational learning theory
     Journal of Electronic Imaging, vol. 6, no. 1, p. 54, 1997
130. Size distributions for multivariate morphological granulometries: texture classification and statistical properties
     Optical Engineering, vol. 36, no. 5, p. 1518, 1997
131. Design and analysis of fuzzy morphological algorithms for image processing
     IEEE Transactions on Fuzzy Systems, vol. 5, no. 4, pp. 570–584, 1997
132. Journal of Mathematical Imaging and Vision, vol. 7, no. 2, pp. 175–192, 1997
133. Optimal reconstructive t-openings for disjoint and statistically modeled nondisjoint grains
     Signal Processing, vol. 56, no. 1, pp. 45–58, 1997
134. Maximum-Likelihood Estimation for the Two-Dimensional Discrete Boolean Random Set and Function Models Using Multidimensional Linear Samples
     Graphical Models and Image Processing, vol. 59, no. 4, pp. 221–231, 1997
135. Optimal and adaptive reconstructive granulometric bandpass filters
     Signal Processing, vol. 61, no. 1, pp. 65–81, 1997
136. Logically Efficient Spatial Resolution Conversion Using Paired Increasing Operators
     Real-Time Imaging, vol. 3, no. 1, pp. 7–16, 1997
137. Existence and synthesis of minimal-basis morphological solutions for a restoration-based boundary-value problem
     Journal of Mathematical Imaging and Vision, vol. 6, no. 4, pp. 315–333, 1996
138. Bayesian morphological peak estimation and its application to chromosome counting via fluorescence In situ hybridization
     Pattern Recognition, vol. 29, no. 6, pp. 987–996, 1996
139. Optimal nonlinear filter for signal-union-noise and runlength analysis in the directional one-dimensional discrete Boolean random set model
     Signal Processing, vol. 51, no. 3, pp. 147–166, 1996
140. Optimal iterative increasing binary morphological filters
     Optical Engineering, vol. 35, no. 12, p. 3495, 1996
141. Optimal binary differencing filters: design, logic complexity, precision analysis, and application to digital document processing
     Journal of Electronic Imaging, vol. 5, no. 1, p. 66, 1996
142. Adaptive reconstructive tau-openings: convergence and the steady-state distribution
     Journal of Electronic Imaging, vol. 5, no. 3, p. 266, 1996
143. A general axiomatic theory of intrinsically fuzzy mathematical morphologies
     IEEE Transactions on Fuzzy Systems, vol. 3, no. 4, pp. 389–403, 1995
144. Mean-Absolute-Error Representation and Optimization of Computational-Morphological Filters
     Graphical Models and Image Processing, vol. 57, no. 1, pp. 27–37, 1995
145. Model-Based Morphology: The Opening Spectrum
     Graphical Models and Image Processing, vol. 57, no. 1, pp. 1–12, 1995
146. Recursive maximum-likelihood estimation in the one-dimensional discrete Boolean random set model
     Signal Processing, vol. 43, no. 1, pp. 1–15, 1995
147. Morphological pattern-spectrum classification of noisy shapes: Exterior granulometries
     Pattern Recognition, vol. 28, no. 1, pp. 81–98, 1995
148. Representation of Linear Granulometric Moments for Deterministic and Random Binary Euclidean Images
     Journal of Visual Communication and Image Representation, vol. 6, no. 1, pp. 69–79, 1995
149. Computational Gray-scale Mathematical Morphology on Lattices (A Comparator-based Image Algebra) Part 1: Architecture
     Real-Time Imaging, vol. 1, no. 1, pp. 69–85, 1995
150. Optimal mean-absolute-error filtering of gray-scale signals by the morphological hit-or-miss transform
     Journal of Mathematical Imaging and Vision, vol. 4, no. 3, pp. 255–271, 1994
151. Computational mathematical morphology
     Signal Processing, vol. 38, no. 1, pp. 21–29, 1994
152. Precision of morphological-representation estimators for translation-invariant binary filters: Increasing and nonincreasing
     Signal Processing, vol. 40, no. 2-3, pp. 129–154, 1994
153. Minimal representation of t-openings via pattern bases
     Pattern Recognition Letters, vol. 15, no. 10, pp. 1029–1033, 1994
154. Gray-scale morphological granulometric texture classification
     Optical Engineering, vol. 33, no. 8, p. 2713, 1994
155. Size-distribution estimation in process fluids by ultrasound for particle sizes in the wavelength range
     Optical Engineering, vol. 32, no. 8, p. 1967, 1993
156. Classification of trabecular structure in magnetic resonance images based on morphological granulometries
     Magnetic Resonance in Medicine, vol. 29, no. 3, pp. 358–370, 1993
157. Linear granulometric moments of noisy binary images
     Journal of Mathematical Imaging and Vision, vol. 3, no. 3, pp. 299–319, 1993
158. Gray-scale granulometries compatible with spatial scalings
     Signal Processing, vol. 34, no. 1, pp. 1–17, 1993
159. Estimation of optimal morphological t-opening parameters based on independent observation of signal and noise pattern spectra
     Signal Processing, vol. 29, no. 3, pp. 265–281, 1992
160. Morphological texture-based maximum-likelihood pixel classification based on local granulometric moments
     Pattern Recognition, vol. 25, no. 10, pp. 1181–1198, 1992
161. Morphological pseudoconvolutions: One-parameter families of derived filters with increased invariant classes
     Circuits Systems and Signal Processing, vol. 11, no. 1, pp. 195–228, 1992
162. Euclidean gray-scale granulometries: Representation and umbra inducement
     Journal of Mathematical Imaging and Vision, vol. 1, no. 1, pp. 7–21, 1992
163. Hole-spectrum representation and model-based optimal morphological restoration of binary images degraded by subtractive noise
     Journal of Mathematical Imaging and Vision, vol. 1, no. 3, pp. 257–278, 1992
164. Statistics of the morphological pattern-spectrum moments for a random-grain model
     Journal of Mathematical Imaging and Vision, vol. 1, no. 2, pp. 121–135, 1992
165. Unification of nonlinear filtering in the context of binary logical calculus, part II: Gray-scale filters
     Journal of Mathematical Imaging and Vision, vol. 2, no. 2-3, pp. 185–192, 1992
166. Unification of nonlinear filtering in the context of binary logical calculus, part I: Binary filters
     Journal of Mathematical Imaging and Vision, vol. 2, no. 2-3, pp. 173–183, 1992
167. Optimal mean-square N-observation digital morphological filters I. Optimal binary filters
     CVGIP: Image Understanding, vol. 55, no. 1, pp. 36–54, 1992
168. Optimal mean-square N-observation digital morphological filters II. Optimal gray-scale filters
     CVGIP: Image Understanding, vol. 55, no. 1, pp. 55–72, 1992
169. SIAM Journal on Applied Mathematics, vol. 51, no. 6, Article ID 0151090, 1991
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