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ORCIDYoichi Takenaka
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2020 – today
- 2023
[c14]Tetsuya Hori, Yuki Sekiya, Yoichi Takenaka:
Rotational weight update in full-connection layers exceeds dropout in image recognition tasks. IIAI-AAI 2023: 343-348- 2021
- [c13]Kaito Koyama, Tomoya Sano, Yoichi Takenaka
:
Computer-Aided Comparative Law on Meiji Civil Code. JSAI-isAI Workshops 2021: 49-61
2010 – 2019
- 2019
- [j9]Viacheslav Kapilevich, Shigeto Seno, Hideo Matsuda, Yoichi Takenaka:
Chromatin 3D Reconstruction from Chromosomal Contacts Using a Genetic Algorithm. IEEE ACM Trans. Comput. Biol. Bioinform. 16(5): 1620-1626 (2019) - 2018
- [j8]Yoichi Takenaka, Kazuma Mikami, Shigeto Seno, Hideo Matsuda:
Automated transition analysis of activated gene regulation during diauxic nutrient shift in Escherichia coli and adipocyte differentiation in mouse cells. BMC Bioinform. 19-S(4): 49-59 (2018) - 2016
- [c12]Yoshiaki Sota, Shigeto Seno, Yoichi Takenaka, Shinzaburo Noguchi, Hideo Matsuda:
Comparative Analysis of Transformation Methods for Gene Expression Profiles in Breast Cancer Datasets. BIBE 2016: 328-333 - 2015
- [j7]Yoichi Takenaka, Shigeto Seno, Hideo Matsuda:
Detecting shifts in gene regulatory networks during time-course experiments at single-time-point temporal resolution. J. Bioinform. Comput. Biol. 13(5): 1543002:1-1543002:18 (2015) - [c11]Yoichi Takenaka, Takeshi Wakao:
Similarity Measure among Structures of Local Government Statute Books Based on Tree Edit Distance. KSE 2015: 49-54 - 2012
- [j6]Yukito Watanabe, Shigeto Seno, Yoichi Takenaka, Hideo Matsuda:
An estimation method for inference of gene regulatory net-work using Bayesian network with uniting of partial problems. BMC Genom. 13(S-1): S12 (2012) - [j5]Tomoshige Ohno, Shigeto Seno, Yoichi Takenaka, Hideo Matsuda:
A Method for Isoform Prediction from RNA-Seq Data by Iterative Mapping. Inf. Media Technol. 7(2): 921-927 (2012) - 2010
- [j4]Tatsuya Yoshikawa, Shigeto Seno, Yoichi Takenaka, Hideo Matsuda:
Improved Prediction Method for Protein Interactions Using Both Structural and Functional Characteristics of Proteins. Inf. Media Technol. 5(2): 489-502 (2010)
2000 – 2009
- 2007
- [j3]Sami Maekawa, Atsuko Matsumoto, Yoichi Takenaka, Hideo Matsuda:
Tissue-specific functions based on information content of gene ontology using cap analysis gene expression. Medical Biol. Eng. Comput. 45(11): 1029-1036 (2007) - 2004
- [j2]Hideya Kawaji, Yoichi Takenaka, Hideo Matsuda:
Graph-based clustering for finding distant relationships in a large set of protein sequences. Bioinform. 20(2): 243-252 (2004) - [c10]Kohei Taki, Reiji Teramoto, Yoichi Takenaka, Hideo Matsuda:
Inference of Gene Regulatory Network Based on Module Network Model with Gene Functional Classifications. CSB 2004: 632-633 - [c9]Shoko Miyake, Yoichi Takenaka, Hideo Matsuda:
A Graph Analysis Method to Detect Metabolic Sub-Networks Based on Phylogenetic Profile. CSB 2004: 634-635 - 2003
- [c8]Shoko Miyake, Yukako Tohsato, Yoichi Takenaka, Hideo Matsuda:
Clustering Method for Comparative Analysis between Genomes and Pathways. DASFAA 2003: 327-334 - 2002
- [c7]Yoichi Takenaka, Akihiro Hashimoto:
DNA computing by competitive hybridization for maximum satisfiability problem. IEEE Congress on Evolutionary Computation 2002: 472-476 - [c6]Yoichi Takenaka, Akihiro Hashimoto:
Shortening the Computational Time of the Fluorescent DNA Computing. DNA 2002: 85-94 - 2001
- [c5]Yoichi Takenaka, Akihiro Hashimoto:
A Proposal of DNA Computing on Beads with Application to SAT Problems. DNA 2001: 182-190
1990 – 1999
- 1999
- [c4]Yoichi Takenaka, Nobuo Funabiki:
A non-feedback neuron filter algorithm for separated board-level routing problems in FPGA-based logic emulation systems. IJCNN 1999: 3342-3347 - [c3]Nobuo Funabiki, Yoichi Takenaka, Teruo Higashino:
A gradual neural network approach for broadcast scheduling in packet radio networks. IJCNN 1999: 3952-3957 - 1998
- [c2]Yoichi Takenaka, Nobuo Funabiki:
An improved genetic algorithm using the convex hull for traveling salesman problem. SMC 1998: 2279-2284 - 1997
- [j1]Nobuo Funabiki, Yoichi Takenaka, Seishi Nishikawa:
A maximum neural network approach for N -queens problems. Biol. Cybern. 76(4): 251-255 (1997) - [c1]Yoichi Takenaka, Nobuo Funabiki, Seishi Nishikawa:
A proposal of "neuron mask" in neural network algorithm for combinatorial optimization problems. ICNN 1997: 1289-1294
Coauthor Index
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