Integrative, Rapid, Data Analysis
Methods that bring together data from many sources and turn it into timely, usable insight.
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Mo1243 PREDICTION OF GASTRIC CANCER DEVELOPMENT FROM INTESTINAL METAPLASIA USING DEEP LEARNING MODEL IN GASTRIC BIOPSIES
C Xiong, CKR Chan, H Chen, LHS Lau, I King, JJY Sung
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MICLUST: A Clustering Algorithm for High Dimensional Data
N Jain, S Ghosh, EJ Ientilucci
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Learning from Others: Daily COVID-19 Cases Prediction in India using Ensembles of LSTM-RNNs
D Chakraborty, D Goswami, S Ghosh, JH Chan, A Ghosh
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A Combination of Mutual and Neighborhood Information for Band Selection in Hyperspectral Images
A Dey, S Ghosh, EJ Ientilucci. Cited by 2
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Data-Driven Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications
X Li, S Liu, J Wang, X Chen, YS Ong, K Tang. Cited by 1
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A Relative Density Based Biclustering Method for Identifying Non-Linear Feature Relations
N Jain, S Ghosh, CA Murthy, A Ghosh. Cited by 1
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A Data-Driven Approach to Detect Dehydration in Afghan Children Using Deep Learning
Z Momand, D Pal, P Mongkolnam. Cited by 1
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An Edge-Based Approach to Partitioning and Overlapping Graph Clustering with User-Specified Density
R Tariq, K Lavangnananda, P Bouvry, P Mongkolnam. Cited by 2
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Predicting three types of freezing of gait events using deep learning models
WT Mo, JH Chan. Cited by 3
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Partitioning graph clustering with user-specified density
R Tariq, K Lavangnananda, P Bouvry, P Mongkolnam. Cited by 3
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Freezing of gait prediction using deep learning
WT Mo, JH Chan. Cited by 5
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A data mining model for predicting diarrhea in Afghan children
A Zahirzda, G Chanmas, JH Chan. Cited by 3