Lee Sael

According to our database1, Lee Sael
  • authored at least 32 papers between 2009 and 2017.
  • has a "Dijkstra number"2 of five.

Timeline

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Links

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Bibliography

2017
Fully Scalable Methods for Distributed Tensor Factorization.
IEEE Trans. Knowl. Data Eng., 2017

SNeCT: Scalable network constrained Tucker decomposition for integrative multi-platform data analysis.
CoRR, 2017

Feature versus Raw Sequence: Deep Learning Comparative Study on Predicting Pre-miRNA.
CoRR, 2017

CTD: Fast, Accurate, and Interpretable Method for Static and Dynamic Tensor Decompositions.
CoRR, 2017

Prior Knowledge based mutation prioritization towards causal variant finding in rare disease.
CoRR, 2017

Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries.
CoRR, 2017

Next Generation Business Intelligence and Analytics: A Survey.
CoRR, 2017

Deep Neural Network Based Precursor microRNA Prediction on Eleven Species.
CoRR, 2017

BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

DP-miRNA: An improved prediction of precursor microRNA using deep learning model.
Proceedings of the 2017 IEEE International Conference on Big Data and Smart Computing, 2017

2016
Mining billion-scale tensors: algorithms and discoveries.
VLDB J., 2016

Random Walk with Restart on Large Graphs Using Block Elimination.
ACM Trans. Database Syst., 2016

A mutation profile for top-k patient search exploiting Gene-Ontology and orthogonal non-negative matrix factorization.
Bioinformatics, 2016

Personalized Ranking in Signed Networks Using Signed Random Walk with Restart.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

SCouT: Scalable coupled matrix-tensor factorization - algorithm and discoveries.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Maximizing information through multiple kernel-based heterogeneous data integration and applications to ovarian cancer.
Proceedings of the Sixth International Conference on Emerging Databases: Technologies, 2016

2015
LMDS-based approach for efficient top-k local ligand-binding site search.
IJDMB, 2015

A mutation profile for top-k patient search exploiting Gene-Ontology and orthogonal non-negative matrix factorization.
Bioinformatics, 2015

Scalable Tensor Mining.
Big Data Research, 2015

BEAR: Block Elimination Approach for Random Walk with Restart on Large Graphs.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Overview of integrative analysis methods for heterogeneous data.
Proceedings of the 2015 International Conference on Big Data and Smart Computing, 2015

2014
Identifying Cancer Subtypes based on Somatic Mutation Profile.
Proceedings of the ACM 8th International Workshop on Data and Text Mining in Bioinformatics, 2014

Data/Feature Distributed Stochastic Coordinate Descent for Logistic Regression.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Efficient protein structure search using indexing methods.
BMC Med. Inf. & Decision Making, 2013

Fast protein 3D surface search.
Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication, 2013

Efficient local ligand-binding site search using landmark mds.
Proceedings of the Proceeding of the 7rd International Workshop on Data and Text Mining in Bioinformatics, 2013

Breast and prostate cancer expression similarity analysis by iterative SVM based ensemble gene selection.
Proceedings of the Proceeding of the 7rd International Workshop on Data and Text Mining in Bioinformatics, 2013

2012
Constructing patch-based ligand-binding pocket database for predicting function of proteins.
BMC Bioinformatics, 2012

2010
Characterization and Classification of Local Protein Surfaces Using Self-Organizing Map.
IJKDB, 2010

Improved protein surface comparison and application to low-resolution protein structure data.
BMC Bioinformatics, 2010

2009
Protein-protein docking using region-based 3D Zernike descriptors.
BMC Bioinformatics, 2009

3D-SURFER: software for high-throughput protein surface comparison and analysis.
Bioinformatics, 2009


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