Lee Sael

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Papers (10)

1. VeST: Very Sparse Tucker Factorization of Large-Scale Tensors cs.NA · 2019 · author #3
2. GIFT: Guided and Interpretable Factorization for Tensors - An Application to Large-Scale Multi-platform Cancer Analysis q-bio.GN · 2018 · author #3
3. SNeCT: Scalable network constrained Tucker decomposition for integrative multi-platform data analysis cs.LG · 2017 · author #2
4. Feature versus Raw Sequence: Deep Learning Comparative Study on Predicting Pre-miRNA cs.LG · 2017 · author #3
5. Prior Knowledge based mutation prioritization towards causal variant finding in rare disease q-bio.GN · 2017 · author #3
6. CTD: Fast, Accurate, and Interpretable Method for Static and Dynamic Tensor Decompositions cs.NA · 2017 · author #3
7. Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries cs.NA · 2017 · author #3
8. Next Generation Business Intelligence and Analytics: A Survey cs.AI · 2017 · author #6
9. Deep Neural Network Based Precursor microRNA Prediction on Eleven Species q-bio.QM · 2017 · author #2
10. Multi-Kernel LS-SVM Based Bio-Clinical Data Integration: Applications to Ovarian Cancer q-bio.GN · 2017 · author #2

Mentions

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Frequent Coauthors

• Jaya Thomas 5 shared papers
• Dongjin Choi 2 shared papers
• Jungwoo Lee 2 shared papers
• Sejoon Oh 2 shared papers
• Bong Jun Choi 1 shared papers
• Jun-Gi Jang 1 shared papers
• Moonjeong Park 1 shared papers
• Namyong Park 1 shared papers
• Pradipta De 1 shared papers
• Quoc Duy Vo 1 shared papers
• Shinyoung Cho 1 shared papers
• Sonia Thomas 1 shared papers
• U Kang 1 shared papers
• Vasundhara Dehiya 1 shared papers