425 results on '"Lawrence O. Hall"'
Search Results
52. Effect of Texture Features in Computer Aided Diagnosis of Pulmonary Nodules in Low-Dose Computed Tomography.
53. A Texture Feature Ranking Model for Predicting Survival Time of Brain Tumor Patients.
54. A novel algorithm for automated counting of stained cells on thick tissue sections.
55. Comparison of scalable fuzzy clustering methods.
56. Label-noise reduction with support vector machines.
57. Exploring Big Data with Scalable Soft Clustering.
58. Anomaly Detection Using Ensembles.
59. Increased classification accuracy and speedup through pair-wise feature selection for support vector machines.
60. Detection of Anomalous Particles from the Deepwater Horizon Oil Spill Using the SIPPER3 Underwater Imaging Platform.
61. Developing a classifier model for lung tumors in CT-scan images.
62. Procedure for stability analysis of gene selection from cross-site gene expression data.
63. Stability of deep features across CT scanners and field of view using a physical phantom.
64. Scalable fuzzy neighborhood DBSCAN.
65. Filtering for improved gene selection on microarray data.
66. Evaluating scalable fuzzy clustering.
67. Ant Clustering Using Ensembles of Partitions.
68. Automatic Red Tide Detection from MODIS Satellite Images.
69. Feature selection for microarray data by AUC analysis.
70. Noise-Based Feature Perturbation as a Selection Method for Microarray Data.
71. Boosting Lite - Handling Larger Datasets and Slower Base Classifiers.
72. Ensembles of Fuzzy Classifiers.
73. Single Pass Fuzzy C Means.
74. Clinical deployment of a medical expert system to increase accruals for clinical trials: Challenges.
75. A fuzzy c means variant for clustering evolving data streams.
76. Multivariate Feature Selection using Random Subspace Classifiers for Gene Expression Data.
77. Kernel Based Fuzzy Ant Clustering with Partition Validity.
78. Learning to Predict Salient Regions from Disjoint and Skewed Training Sets.
79. Mining for Implications in Medical Data.
80. A Cluster Ensemble Framework for Large Data sets.
81. Predicting Juvenile Diabetes from Clinical Test Results.
82. Horizon Detection Using Machine Learning Techniques.
83. Ensembles of Classifiers from Spatially Disjoint Data.
84. Swarm Based Fuzzy Clustering with Partition Validity.
85. Bit Reduction Support Vector Machine.
86. Sequence tolerant segmentation system of brain MRI.
87. Scalable Swarm Based Fuzzy Clustering.
88. A Radiogenomics Ensemble to Predict EGFR and KRAS Mutations in NSCLC
89. A Comparison of Ensemble Creation Techniques.
90. Scalable clustering: a distributed approach.
91. Fuzzy ant clustering by centroid positioning.
92. Active Learning to Recognize Multiple Types of Plankton.
93. Decision trees work better than feed-forward back-prop neural nets for a specific class of problems.
94. Learning a model from spatially disjoint data.
95. A New Ensemble Diversity Measure Applied to Thinning Ensembles.
96. Learning from soft partitions of data: reducing the variance.
97. Comparing Pure Parallel Ensemble Creation Techniques Against Bagging.
98. SMOTEBoost: Improving Prediction of the Minority Class in Boosting.
99. Why are neural networks sometimes much more accurate than decision trees: an analysis on a bio-informatics problem.
100. Learning to recognize plankton.
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.