Integrative, Rapid, Data Analysis
Methods that bring together data from many sources and turn it into timely, usable insight.
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ml4bio/CLEAR: CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis
W Han, Y Cheng, J Chen, H Zhong, Z Hu, S Chen, L Zong, L Hong, et al.
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Making Predictions for Sequentially Available Choices: A Semiparametric Gaussian Copula Approach (SGC)
M Hu, X Zhou, I King, J Cao
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Combination of Transfer Learning, Recursive Learning and Ensemble Learning for Multi-Day Ahead COVID-19 Cases Prediction in India using Gated Recurrent Unit Networks
D Chakraborty, D Goswami, S Ghosh, A Ghosh, JH Chan
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An approximate MIP-DoM calculation for multi-objective optimization using affinity propagation clustering algorithm
CLV Lopes, FVC Martins, EF Wanner, K Deb
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Mutagenic prediction for chemical compound discovery with partitioned graph convolution network
HJ Moon, SJ Bu, SB Cho. Cited by 1
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Machine learning method to discover the novel association of vaccine and vitamin a supplement on covid 19 infection: a biclustering approach
N Jain, S Ghosh. Cited by 1
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Extracting salient information from discarded features via attribute selection and pruning
AJ Tallón-Ballesteros, SB Cho. Cited by 2
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Anomaly detection for health monitoring of heavy equipment using hierarchical prediction with correlative feature learning
G Jang, SB Cho. Cited by 2
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An improved visual analytics framework for high-dimensional pareto-optimal front: a case for multi-objective portfolio optimization
AKMK Talukder, K Deb. Cited by 2
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Aggregation or selection? clustering many objectives for vehicle routing problem with demand responsive transport
RS Mendes, EF Wanner, FVC Martins, K Deb. Cited by 2
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Multi-source propagation aware network clustering
T He, YS Ong, P Hu. Cited by 3
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Learning from others: A data driven transfer learning based daily new COVID-19 case prediction in India using an ensemble of LSTM-RNNs
D Chakraborty, D Goswami, A Ghosh, J Chan, S Ghosh. Cited by 4