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Jun Sese
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2020 – today
- 2022
- [c23]Masaki Onuki, Makito Sato, Jun Sese:
Estimating Physical/Mental Health Condition Using Heart Rate Data from a Wearable Device. EMBC 2022: 4465-4468 - 2020
- [j20]Tony C. Y. Kuo, Masaomi Hatakeyama, Toshiaki Tameshige, Kentaro K. Shimizu, Jun Sese:
Homeolog expression quantification methods for allopolyploids. Briefings Bioinform. 21(2): 395-407 (2020)
2010 – 2019
- 2019
- [j19]Masashi Tsubaki, Kentaro Tomii, Jun Sese:
Compound-protein interaction prediction with end-to-end learning of neural networks for graphs and sequences. Bioinform. 35(2): 309-318 (2019) - [j18]Risa Kawaguchi, Hisanori Kiryu, Junichi Iwakiri, Jun Sese:
reactIDR: evaluation of the statistical reproducibility of high-throughput structural analyses towards a robust RNA structure prediction. BMC Bioinform. 20-S(3): 15-24 (2019) - 2017
- [j17]Tomoki Matsuzawa, Eisuke Ito, Raissa Relator, Jun Sese, Tsuyoshi Kato:
Stochastic Dykstra Algorithms for Distance Metric Learning with Covariance Descriptors. IEICE Trans. Inf. Syst. 100-D(4): 849-856 (2017) - [j16]Shingo Okuno, Tasuku Hiraishi, Hiroshi Nakashima, Masahiro Yasugi, Jun Sese:
Parallelization of Extracting Connected Subgraphs with Common Itemsets in Distributed Memory Environments. J. Inf. Process. 25: 256-267 (2017) - [j15]Kei Hirose, Hironori Fujisawa, Jun Sese:
Robust sparse Gaussian graphical modeling. J. Multivar. Anal. 161: 172-190 (2017) - 2016
- [j14]Aika Terada, Ryo Yamada, Koji Tsuda, Jun Sese:
LAMPLINK: detection of statistically significant SNP combinations from GWAS data. Bioinform. 32(22): 3513-3515 (2016) - [c22]Tomoki Matsuzawa, Raissa Relator, Jun Sese, Tsuyoshi Kato:
Stochastic Dykstra Algorithms for Metric Learning with Positive Definite Covariance Descriptors. ECCV (6) 2016: 786-799 - [c21]Shingo Okuno, Tasuku Hiraishi, Hiroshi Nakashima, Masahiro Yasugi, Jun Sese:
Reducing Redundant Search in Parallel Graph Mining Using Exceptions. IPDPS Workshops 2016: 328-337 - [i1]Tomoki Matsuzawa, Raissa Relator, Jun Sese, Tsuyoshi Kato:
Stochastic Dykstra Algorithms for Metric Learning on Positive Semi-Definite Cone. CoRR abs/1601.01422 (2016) - 2015
- [c20]Aika Terada, Hanyoung Kim, Jun Sese:
High-speed westfall-young permutation procedure for genome-wide association studies. BCB 2015: 17-26 - 2014
- [j13]Shingo Okuno, Tasuku Hiraishi, Hiroshi Nakashima, Masahiro Yasugi, Jun Sese:
Parallelization of Extracting Connected Subgraphs with Common Itemsets. Inf. Media Technol. 9(3): 233-250 (2014) - [j12]Makoto Yamada, Masashi Sugiyama, Jun Sese:
Least-squares independence regression for non-linear causal inference under non-Gaussian noise. Mach. Learn. 96(3): 249-267 (2014) - [c19]Jun Sese, Aika Terada, Yuki Saito, Koji Tsuda:
Statistically significant subgraphs for genome-wide association study. SSDM@ECML/PKDD 2014: 29-36 - [c18]Shin-ichi Minato, Takeaki Uno, Koji Tsuda, Aika Terada, Jun Sese:
A Fast Method of Statistical Assessment for Combinatorial Hypotheses Based on Frequent Itemset Enumeration. ECML/PKDD (2) 2014: 422-436 - 2013
- [j11]Akiko Izawa, Jun Sese:
A tool for the coordinate transformation of next-generation sequencing reads for comparative genomics and transcriptomics. Source Code Biol. Medicine 8: 6 (2013) - [c17]Aika Terada, Jun Sese:
Bonferroni correction hides significant motif combinations. BIBE 2013: 1-4 - [c16]Aika Terada, Koji Tsuda, Jun Sese:
Fast Westfall-Young permutation procedure for combinatorial regulation discovery. BIBM 2013: 153-158 - 2012
- [c15]Mutsumi Fukuzaki, Masa-Aki Yoshida, Atsushi Ogura, Jun Sese:
Systematic measurement of missmatch effect for designing inter-species microarray. BIBM 2012: 1-4 - [c14]Rina Nakazawa, Takayuki Itoh, Jun Sese, Aika Terada:
Integrated Visualization of Gene Network and Ontology Applying a Hierarchical Graph Visualization Technique. IV 2012: 81-86 - [e1]Tetsuo Shibuya, Hisashi Kashima, Jun Sese, Shandar Ahmad:
Pattern Recognition in Bioinformatics - 7th IAPR International Conference, PRIB 2012, Tokyo, Japan, November 8-10, 2012. Proceedings. Lecture Notes in Computer Science 7632, Springer 2012, ISBN 978-3-642-34122-9 [contents] - 2010
- [j10]Natsumi Abe, Jun Sese:
Constructing an yeast Phenotypic Gene Network Using Morphological Inclusion Relations. Int. J. Artif. Intell. Tools 19(3): 235-250 (2010) - [j9]Masashi Sugiyama, Tsuyoshi Idé, Shinichi Nakajima, Jun Sese:
Semi-supervised local Fisher discriminant analysis for dimensionality reduction. Mach. Learn. 78(1-2): 35-61 (2010) - [c13]Jun Sese, Mio Seki, Mutsumi Fukuzaki:
Mining networks with shared items. CIKM 2010: 1681-1684 - [c12]Mutsumi Fukuzaki, Mio Seki, Hisashi Kashima, Jun Sese:
Finding Itemset-Sharing Patterns in a Large Itemset-Associated Graph. PAKDD (2) 2010: 147-159
2000 – 2009
- 2009
- [j8]Taiji Suzuki, Masashi Sugiyama, Takafumi Kanamori, Jun Sese:
Mutual information estimation reveals global associations between stimuli and biological processes. BMC Bioinform. 10(S-1) (2009) - [j7]Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Shohei Hido, Jun Sese, Ichiro Takeuchi, Liwei Wang:
A Density-ratio Framework for Statistical Data Processing. Inf. Media Technol. 4(4): 962-987 (2009) - [j6]Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Shohei Hido, Jun Sese, Ichiro Takeuchi, Liwei Wang:
A Density-ratio Framework for Statistical Data Processing. IPSJ Trans. Comput. Vis. Appl. 1: 183-208 (2009) - [c11]Takayuki Itoh, Chris Muelder, Kwan-Liu Ma, Jun Sese:
A hybrid space-filling and force-directed layout method for visualizing multiple-category graphs. PacificVis 2009: 121-128 - [c10]Natsumi Abe, Jun Sese:
Constructing Yeast Phenotypic Gene Network Using Morphological Inclusion Relations. BIBE 2009: 30-37 - [c9]Mutsumi Fukuzaki, Mio Seki, Hisashi Kashima, Jun Sese:
Side Effect Prediction Using Cooperative Pathways. BIBM 2009: 142-147 - 2008
- [c8]Eriko Mizutani, Jun Sese:
GOMA: Web utility for direct finding of enriched Gene Ontology terms from gene expression profile. BIBE 2008: 1-6 - [c7]Mio Seki, Jun Sese:
Identification of active biological networks and common expression conditions. BIBE 2008: 1-6 - [c6]Masashi Sugiyama, Tsuyoshi Idé, Shinichi Nakajima, Jun Sese:
Semi-Supervised Local Fisher Discriminant Analysis for Dimensionality Reduction. PAKDD 2008: 333-344 - [c5]Taiji Suzuki, Masashi Sugiyama, Jun Sese, Takafumi Kanamori:
Approximating Mutual Information by Maximum Likelihood Density Ratio Estimation. FSDM 2008: 5-20 - 2005
- [j5]Yasuhiro Kasai, Shin-ichi Hashimoto, Tomoyuki Yamada, Jun Sese, Sumio Sugano, Kouji Matsushima, Shinichi Morishita:
5'SAGE: 5'-end Serial Analysis of Gene Expression database. Nucleic Acids Res. 33(Database-Issue): 550-552 (2005) - [j4]Taro L. Saito, Jun Sese, Yoichiro Nakatani, Fumi Sano, Masashi Yukawa, Yoshikazu Ohya, Shinichi Morishita:
Data mining tools for the Saccharomyces cerevisiae morphological database. Nucleic Acids Res. 33(Web-Server-Issue): 753-757 (2005) - 2004
- [j3]Jun Sese, Yukinori Kurokawa, Morito Monden, Kikuya Kato, Shinichi Morishita:
Constrained clusters of gene expression profiles with pathological features. Bioinform. 20(17): 3137-3145 (2004) - [c4]Jun Sese, Shinichi Morishita:
Itemset Classified Clustering. PKDD 2004: 398-409 - 2002
- [j2]Jie Cheng, Christos Hatzis, Hisashi Hayashi, Mark-A. Krogel, Shinichi Morishita, David Page, Jun Sese:
KDD Cup 2001 Report. SIGKDD Explor. 3(2): 47-64 (2002) - [c3]Jun Sese, Shinichi Morishita:
Answering the Most Correlated N Association Rules Efficiently. PKDD 2002: 410-422 - 2001
- [j1]Jun Sese, Hitoshi Nikaidou, Shoko Kawamoto, Yuichi Minesaki, Shinichi Morishita, Kousaku Okubo:
BodyMap incorporated PCR-based expression profiling data and a gene ranking system. Nucleic Acids Res. 29(1): 156-158 (2001) - 2000
- [c2]Shinichi Morishita, Jun Sese:
Traversing Itemset Lattice with Statistical Metric Pruning. PODS 2000: 226-236
1990 – 1999
- 1999
- [c1]Junichi Akita, Jun Sese, Tochihide Saka, Masahiro Aono, Tomomi Kawarabayashi, Junji Nishino:
Linked99. RoboCup 1999: 671-674
Coauthor Index
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