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Tetsuo Shibuya
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- affiliation: Human Genome Center, Institute of Medical Science, Tokyo, Japan
- affiliation: IBM Tokyo Research Laboratory, Kanagawa, Japan
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2020 – today
- 2024
- [j29]Robert D. Barish, Tetsuo Shibuya:
Proper colorability of segment intersection graphs. J. Comb. Optim. 47(4): 70 (2024) - [j28]Robert D. Barish, Tetsuo Shibuya:
String editing under pattern constraints. Theor. Comput. Sci. 1022: 114889 (2024) - [c46]Akito Yamamoto, Tetsuo Shibuya:
Privacy-Optimized Randomized Response for Sharing Multi-Attribute Data. ISCC 2024: 1-8 - [c45]Robert D. Barish, Tetsuo Shibuya:
Recognition and Proper Coloring of Unit Segment Intersection Graphs. SWAT 2024: 5:1-5:19 - [c44]Robert D. Barish, Tetsuo Shibuya:
Counting on Rainbow k-Connections. TAMC 2024: 272-283 - [i8]Akito Yamamoto, Tetsuo Shibuya:
Privacy-Optimized Randomized Response for Sharing Multi-Attribute Data. CoRR abs/2402.07584 (2024) - [i7]Quentin Hillebrand, Vorapong Suppakitpaisarn, Tetsuo Shibuya:
Cycle Counting under Local Differential Privacy for Degeneracy-bounded Graphs. CoRR abs/2409.16688 (2024) - [i6]Akito Yamamoto, Tetsuo Shibuya:
Differentially Private Selection using Smooth Sensitivity. CoRR abs/2410.10187 (2024) - 2023
- [j27]Zixuan Wang, Yi Zhou, Tatsuya Takagi, Jiangning Song, Yu-Shi Tian, Tetsuo Shibuya:
Genetic algorithm-based feature selection with manifold learning for cancer classification using microarray data. BMC Bioinform. 24(1): 139 (2023) - [j26]Akito Yamamoto, Tetsuo Shibuya:
Privacy-Preserving Statistical Analysis of Genomic Data Using Compressive Mechanism with Haar Wavelet Transform. J. Comput. Biol. 30(2): 176-188 (2023) - [c43]Akito Yamamoto, Eizen Kimura, Tetsuo Shibuya:
(ε, k)-Randomized Anonymization: ε-Differentially Private Data Sharing with k-Anonymity. HEALTHINF 2023: 287-297 - [c42]Robert D. Barish, Tetsuo Shibuya:
The Fine-Grained Complexity of Approximately Counting Proper Connected Colorings (Extended Abstract). COCOA (2) 2023: 123-136 - [c41]Akito Yamamoto, Tetsuo Shibuya:
Privacy-Preserving Genomic Statistical Analysis Under Local Differential Privacy. DBSec 2023: 40-48 - [c40]Akito Yamamoto, Tetsuo Shibuya:
A Joint Permute-and-Flip and Its Enhancement for Large-Scale Genomic Statistical Analysis. ICDM (Workshops) 2023: 217-226 - [c39]Quentin Hillebrand, Vorapong Suppakitpaisarn, Tetsuo Shibuya:
Unbiased Locally Private Estimator for Polynomials of Laplacian Variables. KDD 2023: 741-751 - [c38]Akito Yamamoto, Tetsuo Shibuya:
Privacy-Preserving Publication of GWAS Statistics using Smooth Sensitivity. PST 2023: 1-12 - [c37]Robert D. Barish, Tetsuo Shibuya:
Hardness of Bounding Influence via Graph Modification. SOFSEM 2023: 129-143 - [i5]Quentin Hillebrand, Vorapong Suppakitpaisarn, Tetsuo Shibuya:
Communication Cost Reduction for Subgraph Counting under Local Differential Privacy via Hash Functions. CoRR abs/2312.07055 (2023) - 2022
- [c36]Robert D. Barish, Tetsuo Shibuya:
Diamonds are Forever in the Blockchain: Geometric Polyhedral Point-Set Pattern Matching. CCCG 2022: 16-31 - [c35]Robert D. Barish, Tetsuo Shibuya:
Proper Colorability of Segment Intersection Graphs. COCOON 2022: 573-584 - [c34]Robert D. Barish, Tetsuo Shibuya:
Counting on a Rainbow Connection (text not included). ICTCS 2022 - [c33]Robert D. Barish, Tetsuo Shibuya:
String Editing Under Pattern Constraints. ICS 2022: 13-24 - [c32]Arda Akdemir, Yeojoo Jeon, Tetsuo Shibuya:
Developing Language Resources and NLP Tools for the North Korean Language. LREC 2022: 5595-5600 - [c31]Akito Yamamoto, Tetsuo Shibuya:
Efficient and Highly Accurate Differentially Private Statistical Genomic Analysis using Discrete Fourier Transform. TrustCom 2022: 525-532 - 2021
- [c30]Akito Yamamoto, Tetsuo Shibuya:
Differentially Private Linkage Analysis with TDT - the case of two affected children per family. BIBM 2021: 765-770 - [c29]Arda Akdemir, Tetsuo Shibuya:
UDON: Unsupervised Data SelectiON for Biomedical Entity Recognition. ICCBD 2021: 1-7 - [c28]Kazushi Kitaya, Tetsuo Shibuya:
Compression of Multiple k-Mer Sets by Iterative SPSS Decomposition. WABI 2021: 12:1-12:17 - 2020
- [j25]Yao-zhong Zhang, Arda Akdemir, Georg Tremmel, Seiya Imoto, Satoru Miyano, Tetsuo Shibuya, Rui Yamaguchi:
Nanopore basecalling from a perspective of instance segmentation. BMC Bioinform. 21-S(3): 136 (2020) - [c27]Arda Akdemir, Tetsuo Shibuya:
Transfer Learning for Biomedical Question Answering. CLEF (Working Notes) 2020 - [c26]Arda Akdemir, Tetsuo Shibuya, Tunga Güngör:
Subword Contextual Embeddings for Languages with Rich Morphology. ICMLA 2020: 994-1001 - [c25]Taku Onodera, Tetsuo Shibuya:
Wear Leveling Revisited. ISAAC 2020: 65:1-65:17 - [i4]Arda Akdemir, Tetsuo Shibuya, Tunga Güngör:
Hierarchical Multi Task Learning with Subword Contextual Embeddings for Languages with Rich Morphology. CoRR abs/2004.12247 (2020) - [i3]Arda Akdemir, Tetsuo Shibuya:
Analyzing the Effect of Multi-task Learning for Biomedical Named Entity Recognition. CoRR abs/2011.00425 (2020)
2010 – 2019
- 2019
- [j24]Yoichi Sasaki, Tetsuo Shibuya, Kimihito Ito, Hiroki Arimura:
Efficient Approximate 3-Dimensional Point Set Matching Using Root-Mean-Square Deviation Score. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 102-A(9): 1159-1170 (2019) - [j23]Naoki Katoh, Yuya Higashikawa, Hiro Ito, Shun Kataoka, Takuya Kida, Toshiki Saitoh, Tetsuo Shibuya, Kazuyuki Tanaka, Yushi Uno:
Preface for the Special Issue on the Project "Foundation of Innovative Algorithms for Big Data". Rev. Socionetwork Strateg. 13(2): 99-100 (2019) - [j22]Tetsuo Shibuya:
Application-Oriented Succinct Data Structures for Big Data. Rev. Socionetwork Strateg. 13(2): 227-236 (2019) - 2018
- [c24]Taku Onodera, Tetsuo Shibuya:
Succinct Oblivious RAM. STACS 2018: 52:1-52:16 - [i2]Taku Onodera, Tetsuo Shibuya:
Succinct Oblivious RAM. CoRR abs/1804.08285 (2018) - 2016
- [c23]Taku Onodera, Tetsuo Shibuya:
Fast Classification of Protein Structures by an Alignment-Free Kernel. SPIRE 2016: 68-79 - 2015
- [j21]Tetsuo Shibuya, Chuan Yi Tang, Paul Horton, Kiyoshi Asai:
Guest Editorial for the 25th International Conference on Genome Informatics (GIW/ISCB-Asia 2014). IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 761-762 (2015) - [j20]Wing-Kin Sung, Kunihiko Sadakane, Tetsuo Shibuya, Abha Belorkar, Iana Pyrogova:
An O(m, log m)-Time Algorithm for Detecting Superbubbles. IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 770-777 (2015) - [c22]Yang Li, Tetsuo Shibuya:
Malphite: A convolutional neural network and ensemble learning based protein secondary structure predictor. BIBM 2015: 1260-1266 - [c21]Mohammad A. Eita, Tetsuo Shibuya, Amin A. Shoukry:
Locating controlling regions of neural networks using constrained evolutionary computation. CEC 2015: 1581-1588 - [c20]Yoichi Sasaki, Tetsuo Shibuya, Kimihito Ito, Hiroki Arimura:
Efficient Approximate 3-Dimensional Point Set Matching Using Root-Mean-Square Deviation Score. SISAP 2015: 191-203 - 2014
- [j19]Tetsuo Shibuya, Chuan Yi Tang, Paul Horton, Kiyoshi Asai:
Editorial. J. Bioinform. Comput. Biol. 12(6) (2014) - [c19]Tomohiko Ohtsuki, Naoki Nariai, Kaname Kojima, Takahiro Mimori, Yukuto Sato, Yosuke Kawai, Yumi Yamaguchi-Kabata, Tetsuo Shibuya, Masao Nagasaki:
SVEM: A Structural Variant Estimation Method Using Multi-mapped Reads on Breakpoints. AlCoB 2014: 208-219 - [c18]Sherin M. ElGokhy, Tetsuo Shibuya, Amin A. Shoukry:
Improving miRNA Classification Using an Exhaustive Set of Features. PACBB 2014: 31-39 - 2013
- [c17]Taku Onodera, Tetsuo Shibuya:
The Gapped Spectrum Kernel for Support Vector Machines. MLDM 2013: 1-15 - [c16]Taku Onodera, Kunihiko Sadakane, Tetsuo Shibuya:
Detecting Superbubbles in Assembly Graphs. WABI 2013: 338-348 - [i1]Taku Onodera, Kunihiko Sadakane, Tetsuo Shibuya:
Detecting Superbubbles in Assembly Graphs. CoRR abs/1307.7925 (2013) - 2012
- [j18]Mohammed Sahli, Tetsuo Shibuya:
Max-Shift BM and Max-Shift Horspool: Practical Fast Exact String Matching Algorithms. Inf. Media Technol. 7(2): 721-727 (2012) - [j17]Ritsuko Onuki, Ryo Yamada, Rui Yamaguchi, Minoru Kanehisa, Tetsuo Shibuya:
Population Model-Based Inter-Diplotype Similarity Measure for Accurate Diplotype Clustering. J. Comput. Biol. 19(1): 55-67 (2012) - [j16]Genki Terashi, Tetsuo Shibuya, Mayuko Takeda-Shitaka:
LB3D: A Protein Three-Dimensional Substructure Search Program Based on the Lower Bound of a Root Mean Square Deviation Value. J. Comput. Biol. 19(5): 493-503 (2012) - [j15]Mohammed Sahli, Tetsuo Shibuya:
Max-Shift BM and Max-Shift Horspool: Practical Fast Exact String Matching Algorithms. J. Inf. Process. 20(2): 419-425 (2012) - [c15]Alexander Bowe, Taku Onodera, Kunihiko Sadakane, Tetsuo Shibuya:
Succinct de Bruijn Graphs. WABI 2012: 225-235 - [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] - 2011
- [c14]Taku Onodera, Tetsuo Shibuya:
An Index Structure for Spaced Seed Search. ISAAC 2011: 764-772 - [c13]Daisuke Kimura, Tetsuji Kuboyama, Tetsuo Shibuya, Hisashi Kashima:
A Subpath Kernel for Rooted Unordered Trees. PAKDD (1) 2011: 62-74 - 2010
- [j14]Tetsuo Shibuya, Jesper Jansson, Kunihiko Sadakane:
Linear-time protein 3-D structure searching with insertions and deletions. Algorithms Mol. Biol. 5: 7 (2010) - [j13]Tetsuo Shibuya:
Geometric suffix tree: Indexing protein 3-D structures. J. ACM 57(3): 15:1-15:17 (2010) - [j12]Tetsuo Shibuya:
Searching Protein 3-D Structures in Linear Time. J. Comput. Biol. 17(3): 203-219 (2010) - [j11]Tetsuo Shibuya:
Searching Protein Three-Dimensional Structures in Faster Than Linear Time. J. Comput. Biol. 17(4): 593-602 (2010) - [j10]Tetsuo Shibuya:
Fast Hinge Detection Algorithms for Flexible Protein Structures. IEEE ACM Trans. Comput. Biol. Bioinform. 7(2): 333-341 (2010)
2000 – 2009
- 2009
- [j9]Ben Hachimori, Tetsuo Shibuya:
Lazy Suffix Array: The Data Structure for Online Construction and Pattern Searching. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(8): 1750-1756 (2009) - [c12]Tetsuo Shibuya:
Searching Protein 3-D Structures in Linear Time. RECOMB 2009: 1-15 - [c11]Tetsuo Shibuya, Jesper Jansson, Kunihiko Sadakane:
Linear-Time Protein 3-D Structure Searching with Insertions and Deletions. WABI 2009: 310-320 - 2007
- [j8]Tetsuo Shibuya:
Efficient Substructure RMSD Query Algorithms. J. Comput. Biol. 14(9): 1201-1207 (2007) - [c10]Tetsuo Shibuya:
Prefix-Shuffled Geometric Suffix Tree. SPIRE 2007: 300-309 - 2006
- [c9]Tetsuo Shibuya:
Geometric Suffix Tree: A New Index Structure for Protein 3-D Structures. CPM 2006: 84-93 - 2004
- [j7]Tetsuo Shibuya:
Generalization of a Suffix Tree for RNA Structural Pattern Matching. Algorithmica 39(1): 1-19 (2004) - [j6]Tetsuo Shibuya, Hisashi Kashima, Akihiko Konagaya:
Efficient filtering methods for clustering cDNAs with spliced sequence alignment. Bioinform. 20(1): 29-39 (2004) - 2003
- [j5]Tetsuo Shibuya:
Constructing the Suffix Tree of a Tree with a Large Alphabet. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(5): 1061-1066 (2003) - [j4]Tien Huynh, Isidore Rigoutsos, Laxmi Parida, Daniel E. Platt, Tetsuo Shibuya:
The web server of IBM's Bioinformatics and Pattern Discovery group. Nucleic Acids Res. 31(13): 3645-3650 (2003) - [c8]Tetsuo Shibuya, Igor Kurochkin:
Match Chaining Algorithms for cDNA Mapping. WABI 2003: 462-475 - 2002
- [j3]Hiroshi Kawazoe, Tetsuo Shibuya, Takeshi Tokuyama:
Optimal Online Algorithms for an Electronic Commerce Money Distribution System. Algorithmica 33(3): 287-299 (2002) - 2000
- [j2]Tetsuo Shibuya:
Computing the nxm Shortest Paths Efficiently. ACM J. Exp. Algorithmics 5: 9 (2000) - [c7]Tetsuo Shibuya:
Generalization of a Suffix Tree for RNA Structural Pattern Matching. SWAT 2000: 393-406
1990 – 1999
- 1999
- [c6]Tetsuo Shibuya:
Computing the n × m Shortest Paths Efficently. ALENEX 1999: 210-225 - [c5]Tetsuo Shibuya:
Constructing the Suffix Tree of a Tree with a Large Alphabet. ISAAC 1999: 225-236 - [c4]Hiroshi Kawazoe, Tetsuo Shibuya, Takeshi Tokuyama:
Optimal On-line Algorithms for an Electronic Commerce Money Distribution System. SODA 1999: 527-536 - 1997
- [j1]Tetsuo Shibuya, Hiroshi Imai:
New Flexible Approaches for Multiple Sequence Alignment. J. Comput. Biol. 4(3): 385-413 (1997) - [c3]Tetsuo Shibuya, Hiroshi Imai:
New flexible approaches for multiple sequence alignment. RECOMB 1997: 267-276 - 1996
- [c2]Tetsuo Shibuya, Hiroshi Imai, Shigeki Nishimura, Hiroshi Shimoura, Kenji Tenmoku:
Detour Queries in Geographical Databases for Navigation and Related Algorithm Animations. CODAS 1996: 246- - [c1]Tsuyoshi Ono, Yoshiaki Kyoda, Tomonari Masada, Kazuyoshi Hayase, Tetsuo Shibuya, Motoki Nakade, Mary Inaba, Hiroshi Imai, Keiko Imai, David Avis:
A Package for Triangulations. SCG 1996: V-17-V-18
Coauthor Index
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