Lee Sael - RankMe

58 papers A* 4A 2Journal 37Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Document Re-Ranking With Evidential Neural Networks. IEEE Access JeongNoh Yoon, Lee Sael
2023	J	`jnl`	Evidential meta-model for molecular property prediction. Bioinform. KyungPyo Ham, Lee Sael
2022	—	`conf`	Benchmarking Deep Graph Models for Large Molecular Generation. BigComp Jin-Jun Park, Lee Sael
2022	—	`conf`	Cross-Attention Model for Multi-modal Bio-Signal Processing. BigComp Son Heesoo, Lee Sangseok, Lee Sael
2022	J	`jnl`	Knowledge distillation meets recommendation: collaborative distillation for top-N recommendation. Knowl. Inf. Syst. Jae-woong Lee, Minjin Choi, Lee Sael, Hyunjung Shim, Jongwuk Lee
2022	J	`jnl`	Large-scale tucker Tensor factorization for sparse and accurate decomposition. J. Supercomput. Jun-Gi Jang, MoonJeong Park, Jongwuk Lee, Lee Sael
2022	—	`conf`	Towards Accurate and Certain Molecular Properties Prediction. ICTC KyungPyo Ham, JeongNoh Yoon, Lee Sael
2022	A	`conf`	Transition Matrix Representation of Trees with Transposed Convolutions. SDM Jaemin Yoo, Lee Sael
2022	J	`jnl`	Transition Matrix Representation of Trees with Transposed Convolutions. CoRR Jaemin Yoo, Lee Sael
2021	J	`jnl`	Correction to: Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach. Mach. Learn. Jinhong Jung, Lee Sael
2021	J	`jnl`	Correction to: Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach. Mach. Learn. Jinhong Jung, Lee Sael
2021	—	`conf`	Gaussian Soft Decision Trees for Interpretable Feature-Based Classification. PAKDD (2) Jaemin Yoo, Lee Sael
2021	—	`conf`	VEST: Very Sparse Tucker Factorization of Large-Scale Tensors. BigComp MoonJeong Park, Jun-Gi Jang, Lee Sael
2020	J	`jnl`	Fast and Accurate Pseudoinverse with Sparse Matrix Reordering and Incremental Approach. CoRR Jinhong Jung, Lee Sael
2020	J	`jnl`	Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach. Mach. Learn. Jinhong Jung, Lee Sael
2020	J	`jnl`	SNeCT: Scalable Network Constrained Tucker Decomposition for Multi-Platform Data Profiling. IEEE ACM Trans. Comput. Biol. Bioinform. Dongjin Choi, Lee Sael
2019	A*	`conf`	EDiT: Interpreting Ensemble Models via Compact Soft Decision Trees. ICDM Jaemin Yoo, Lee Sael
2019	J	`jnl`	High-Performance Tucker Factorization on Heterogeneous Platforms. IEEE Trans. Parallel Distributed Syst. Sejoon Oh, Namyong Park, Jun-Gi Jang, Lee Sael, U Kang
2019	J	`jnl`	PS-MCL: parallel shotgun coarsened Markov clustering of protein interaction networks. BMC Bioinform. Yongsub Lim, In-Jae Yu, Dongmin Seo, U Kang, Lee Sael
2019	J	`jnl`	VeST: Very Sparse Tucker Factorization of Large-Scale Tensors. CoRR MoonJeong Park, Jun-Gi Jang, Lee Sael
2018	J	`jnl`	GIFT: Guided and Interpretable Factorization for Tensors - An Application to Large-Scale Multi-platform Cancer Analysis. CoRR Jungwoo Lee, Sejoon Oh, Lee Sael
2018	J	`jnl`	GIFT: Guided and Interpretable Factorization for Tensors with an application to large-scale multi-platform cancer analysis. Bioinform. Jungwoo Lee, Sejoon Oh, Lee Sael
2018	J	`jnl`	Introduction to Selected Papers from GIW2017. J. Bioinform. Comput. Biol. Lee Sael
2018	A*	`conf`	Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries. ICDE Sejoon Oh, Namyong Park, Lee Sael, U Kang
2017	—	`conf`	BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart. SIGMOD Conference Jinhong Jung, Namyong Park, Lee Sael, U Kang
2017	J	`jnl`	CTD: Fast, Accurate, and Interpretable Method for Static and Dynamic Tensor Decompositions. CoRR Jungwoo Lee, Dongjin Choi, Lee Sael
2017	—	`conf`	DP-miRNA: An improved prediction of precursor microRNA using deep learning model. BigComp Jaya Thomas, Sonia Thomas, Lee Sael
2017	J	`jnl`	Deep Neural Network Based Precursor microRNA Prediction on Eleven Species. CoRR Jaya Thomas, Lee Sael
2017	J	`jnl`	Feature versus Raw Sequence: Deep Learning Comparative Study on Predicting Pre-miRNA. CoRR Jaya Thomas, Sonia Thomas, Lee Sael
2017	J	`jnl`	Fully Scalable Methods for Distributed Tensor Factorization. IEEE Trans. Knowl. Data Eng. Kijung Shin, Lee Sael, U Kang
2017	J	`jnl`	Multi-kernel LS-SVM based integration bio-clinical data analysis and application to ovarian cancer. Int. J. Data Min. Bioinform. Jaya Thomas, Lee Sael
2017	J	`jnl`	Next Generation Business Intelligence and Analytics: A Survey. CoRR Quoc Duy Vo, Jaya Thomas, Shinyoung Cho, Pradipta De, Bong Jun Choi, Lee Sael
2017	J	`jnl`	Prior Knowledge based mutation prioritization towards causal variant finding in rare disease. CoRR Vasundhara Dehiya, Jaya Thomas, Lee Sael
2017	J	`jnl`	SNeCT: Scalable network constrained Tucker decomposition for integrative multi-platform data analysis. CoRR Dongjin Choi, Lee Sael
2017	J	`jnl`	Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries. CoRR Sejoon Oh, Namyong Park, Lee Sael, U Kang
2016	J	`jnl`	A mutation profile for top- Bioinform. Sungchul Kim, Lee Sael, Hwanjo Yu
2016	—	`conf`	Maximizing information through multiple kernel-based heterogeneous data integration and applications to ovarian cancer. EDB Jaya Thomas, Lee Sael
2016	J	`jnl`	Mining billion-scale tensors: algorithms and discoveries. VLDB J. Inah Jeon, Evangelos E. Papalexakis, Christos Faloutsos, Lee Sael, U Kang
2016	A*	`conf`	Personalized Ranking in Signed Networks Using Signed Random Walk with Restart. ICDM Jinhong Jung, Woojeong Jin, Lee Sael, U Kang
2016	J	`jnl`	Random Walk with Restart on Large Graphs Using Block Elimination. ACM Trans. Database Syst. Jinhong Jung, Kijung Shin, Lee Sael, U Kang
2016	A*	`conf`	SCouT: Scalable coupled matrix-tensor factorization - algorithm and discoveries. ICDE Byungsoo Jeon, Inah Jeon, Lee Sael, U Kang
2015	J	`jnl`	A mutation profile for top- Bioinform. Sungchul Kim, Lee Sael, Hwanjo Yu
2015	—	`conf`	BEAR: Block Elimination Approach for Random Walk with Restart on Large Graphs. SIGMOD Conference Kijung Shin, Jinhong Jung, Lee Sael, U Kang
2015	J	`jnl`	LMDS-based approach for efficient top-k local ligand-binding site search. Int. J. Data Min. Bioinform. Sungchul Kim, Lee Sael, Hwanjo Yu
2015	—	`conf`	Overview of integrative analysis methods for heterogeneous data. BigComp Jaya Thomas, Lee Sael
2015	J	`jnl`	Scalable Tensor Mining. Big Data Res. Lee Sael, Inah Jeon, U Kang
2014	A	`conf`	Data/Feature Distributed Stochastic Coordinate Descent for Logistic Regression. CIKM Dongyeop Kang, Woosang Lim, Kijung Shin, Lee Sael, U Kang
2014	—	`conf`	Identifying Cancer Subtypes based on Somatic Mutation Profile. DTMBIO@CIKM Sungchul Kim, Lee Sael, Hwanjo Yu
2013	—	`conf`	Breast and prostate cancer expression similarity analysis by iterative SVM based ensemble gene selection. DTMBIO Darius Coelho, Lee Sael
2013	—	`conf`	Efficient local ligand-binding site search using landmark mds. DTMBIO Sungchul Kim, Lee Sael, Hwanjo Yu
2013	J	`jnl`	Efficient protein structure search using indexing methods. BMC Medical Informatics Decis. Mak. Sungchul Kim, Lee Sael, Hwanjo Yu
2013	—	`conf`	Fast protein 3D surface search. ICUIMC Sungchul Kim, Lee Sael, Hwanjo Yu
2012	J	`jnl`	Constructing patch-based ligand-binding pocket database for predicting function of proteins. BMC Bioinform. Lee Sael, Daisuke Kihara
2012	—	`conf`	Indexing methods for efficient protein 3D surface search. DTMBIO@CIKM Sungchul Kim, Lee Sael, Hwanjo Yu
2010	J	`jnl`	Characterization and Classification of Local Protein Surfaces Using Self-Organizing Map. Int. J. Knowl. Discov. Bioinform. Lee Sael, Daisuke Kihara
2010	J	`jnl`	Improved protein surface comparison and application to low-resolution protein structure data. BMC Bioinform. Lee Sael, Daisuke Kihara
2009	J	`jnl`	3D-SURFER: software for high-throughput protein surface comparison and analysis. Bioinform. David La, Juan Esquivel-Rodríguez, Vishwesh Venkatraman, Bin Li, Lee Sael, Stephen Ueng, Steven Ahrendt, Daisuke Kihara
2009	J	`jnl`	Protein-protein docking using region-based 3D Zernike descriptors. BMC Bioinform. Vishwesh Venkatraman, Yifeng D. Yang, Lee Sael, Daisuke Kihara