Lee Sael

Orcid: 0000-0002-9066-5756

According to our database1, Lee Sael authored at least 50 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Evidential meta-model for molecular property prediction.
Bioinform., October, 2023

2022
Large-scale tucker Tensor factorization for sparse and accurate decomposition.
J. Supercomput., 2022

Knowledge distillation meets recommendation: collaborative distillation for top-N recommendation.
Knowl. Inf. Syst., 2022

Transition Matrix Representation of Trees with Transposed Convolutions.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Towards Accurate and Certain Molecular Properties Prediction.
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

Benchmarking Deep Graph Models for Large Molecular Generation.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2022

Cross-Attention Model for Multi-modal Bio-Signal Processing.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2022

2021
Correction to: Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach.
Mach. Learn., 2021

Gaussian Soft Decision Trees for Interpretable Feature-Based Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

VEST: Very Sparse Tucker Factorization of Large-Scale Tensors.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021

2020
SNeCT: Scalable Network Constrained Tucker Decomposition for Multi-Platform Data Profiling.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach.
Mach. Learn., 2020

2019
High-Performance Tucker Factorization on Heterogeneous Platforms.
IEEE Trans. Parallel Distributed Syst., 2019

PS-MCL: parallel shotgun coarsened Markov clustering of protein interaction networks.
BMC Bioinform., 2019

EDiT: Interpreting Ensemble Models via Compact Soft Decision Trees.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Introduction to Selected Papers from GIW2017.
J. Bioinform. Comput. Biol., 2018

GIFT: Guided and Interpretable Factorization for Tensors with an application to large-scale multi-platform cancer analysis.
Bioinform., 2018

Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

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

Multi-kernel LS-SVM based integration bio-clinical data analysis and application to ovarian cancer.
Int. J. Data Min. Bioinform., 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

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-<i>k</i> patient search exploiting Gene-Ontology and orthogonal non-negative matrix factorization.
Bioinform., 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.
Int. J. Data Min. Bioinform., 2015

Scalable Tensor Mining.
Big Data Res., 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 Medical Informatics Decis. Mak., 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 Bioinform., 2012

Indexing methods for efficient protein 3D surface search.
Proceedings of the ACM sixth international workshop on Data and text mining in biomedical informatics, 2012

2010
Characterization and Classification of Local Protein Surfaces Using Self-Organizing Map.
Int. J. Knowl. Discov. Bioinform., 2010

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

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

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


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