| * | 2009 |
| 15 | EE | Kengo Sato,
Michiaki Hamada,
Toutai Mituyama,
Kiyoshi Asai,
Yasubumi Sakakibara:
A Non-parametric Bayesian Approach for Predicting RNA Secondary Structures.
WABI 2009: 286-297 |
| 14 | EE | Michiaki Hamada,
Kengo Sato,
Hisanori Kiryu,
Toutai Mituyama,
Kiyoshi Asai:
Predictions of RNA secondary structure by combining homologous sequence information.
Bioinformatics 25(12): (2009) |
| 13 | EE | Michiaki Hamada,
Hisanori Kiryu,
Kengo Sato,
Toutai Mituyama,
Kiyoshi Asai:
Prediction of RNA secondary structure using generalized centroid estimators.
Bioinformatics 25(4): 465-473 (2009) |
| 12 | EE | Kengo Sato,
Michiaki Hamada,
Kiyoshi Asai,
Toutai Mituyama:
CENTROIDFOLD: a web server for RNA secondary structure prediction.
Nucleic Acids Research 37(Web-Server-Issue): 277-280 (2009) |
| 2008 |
| 11 | EE | Kengo Sato,
Toutai Mituyama,
Kiyoshi Asai,
Yasubumi Sakakibara:
Directed acyclic graph kernels for structural RNA analysis.
BMC Bioinformatics 9: (2008) |
| 10 | EE | Kiyoshi Asai,
Hisanori Kiryu,
Michiaki Hamada,
Yasuo Tabei,
Kengo Sato,
Hiroshi Matsui,
Yasubumi Sakakibara,
Goro Terai,
Toutai Mituyama:
Software.ncrna.org: web servers for analyses of RNA sequences.
Nucleic Acids Research 36(Web-Server-Issue): 75-78 (2008) |
| 2007 |
| 9 | EE | Yasubumi Sakakibara,
Kiyoshi Asai,
Kengo Sato:
Stem Kernels for RNA Sequence Analyses.
BIRD 2007: 278-291 |
| 8 | EE | Yasubumi Sakakibara,
Kris Popendorf,
Nana Ogawa,
Kiyoshi Asai,
Kengo Sato:
Stem Kernels for RNA Sequence Analyses.
J. Bioinformatics and Computational Biology 5(5): 1103-1122 (2007) |
| 2006 |
| 7 | | Yasubumi Sakakibara,
Satoshi Kobayashi,
Kengo Sato,
Tetsuro Nishino,
Etsuji Tomita:
Grammatical Inference: Algorithms and Applications, 8th International Colloquium, ICGI 2006, Tokyo, Japan, September 20-22, 2006, Proceedings
Springer 2006 |
| 2005 |
| 6 | EE | Kengo Sato,
Yasubumi Sakakibara:
RNA secondary structural alignment with conditional random fields.
ECCB/JBI 2005: 242 |
| 5 | EE | Hiroshi Matsui,
Kengo Sato,
Yasubumi Sakakibara:
Pair stochastic tree adjoining grammars for aligning and predicting pseudoknot RNA structures.
Bioinformatics 21(11): 2611-2617 (2005) |
| 2004 |
| 4 | EE | Hiroshi Matsui,
Kengo Sato,
Yasubumi Sakakibara:
Pair Stochastic Tree Adjoining Grammars for Aligning and Predicting Pseudoknot RNA Structures.
CSB 2004: 290-299 |
| 2002 |
| 3 | EE | Kengo Sato,
Hiroaki Saito:
Extracting Word Sequence Correspondences with Support Vector Machines.
COLING 2002 |
| 1998 |
| 2 | | Kengo Sato,
Masakazu Nakanishi:
Maximum Entropy Model Learning of the Translation Rules.
COLING-ACL 1998: 1171-1175 |
| 1996 |
| 1 | EE | Shiho Nobesawa,
Junya Tsutsumi,
Sun Da Jiang,
Tomohisa Sano,
Kengo Sato,
Masakazu Nakanishi:
Segmenting Sentences into Linky Strings Using D-bigram Statistics.
COLING 1996: 586-591 |