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Tomoyuki Uchida

dblp:87/2446 · DBLP profile ↗
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34ranked-venue papers
3as first author
0since 2021 · last 2017
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 19 · 2 first-authorDatabases, data management, data science and information retrieval · 11 · 1 first-authorTheory of computation · 10Applied, interdisciplinary, general and emerging computing · 4Systems, architecture and hardware · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Bioinformatics and computational biology · 100%
Theoretical computer science
1 paper
Computational complexity · 50% Automata and formal languages · 50%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational complexity
inductive inference
0.012002
Polynomial Time Inductive Inference of Ordered Tree Patterns with Internal Structured Variables from Positive Data · COLT 2002
Automata and formal languages
tree languages
0.012002
Polynomial Time Inductive Inference of Ordered Tree Patterns with Internal Structured Variables from Positive Data · COLT 2002
Bioinformatics and computational biology › protein structure analysis › intrinsically disordered protein
intrinsically disordered protein database
0.012001
ProDDO: a database of disordered proteins from the Protein Data Bank (PDB) · Bioinform. 2001
Bioinformatics and computational biology › structural bioinformatics
protein structure database
0.012001
ProDDO: a database of disordered proteins from the Protein Data Bank (PDB) · Bioinform. 2001
Bioinformatics and computational biology
structural bioinformatics
0.012001
ProDDO: a database of disordered proteins from the Protein Data Bank (PDB) · Bioinform. 2001
Bioinformatics and computational biology
sequence analysis
0.011995
BONSAI Garden: Parallel Knowledge Discovery System for Amino Acid Sequences · ISMB 1995

Methods — techniques the papers use, named apart from their topics

inductive inference from positive data · 0.0parallel computing · 0.0knowledge discovery · 0.0
YearPublicationVenuePosition
2017 A Context-Aware Fitness Function Based on Feature Selection for Evolutionary Learning of Characteristic Graph Patterns
Fumiya Tokuhara, Tetsuhiro Miyahara, Tetsuji Kuboyama, Yusuke Suzuki, Tomoyuki Uchida
ACIIDS (1)5
2012 Polynomial Time Pattern Matching Algorithm for Ordered Graph Patterns
Takahiro Hino, Yusuke Suzuki, Tomoyuki Uchida, Yuko Itokawa
ILP3
2011 Polynomial Time Inductive Inference of Cograph Pattern Languages from Positive Data
Yuta Yoshimura, Takayoshi Shoudai, Yusuke Suzuki, Tomoyuki Uchida, Tetsuhiro Miyahara
ILP4
2009 Learning block-preserving graph patterns and its application to data mining
Hitoshi Yamasaki, Yosuke Sasaki, Takayoshi Shoudai, Tomoyuki Uchida, Yusuke Suzuki
Mach. Learn.4
2008 Fabrication of biodegradable scaffolds by use of self-assembled magnetic sugar particles as a casting template
abstract
Technologies to develop scaffolds with controlled pore layout and porosity have great significance in tissue engineering. As one method of scaffold fabrication, porogen leaching has been commonly used to control pore size, pore structure and porosity in the scaffold. In this paper, we describe a novel approach to fabricate 2D and 3D porous biodegradable scaffolds made of poly(L-lactide-co-ε-caprolactone) by using magnetic sugar particles as porogens. First, ferrite micro/nano particles were encapsulated in sugar microspheres to make them magnetized. After sieving magnetic sugar particles, those diameter-controlled particles were attracted by a magnetic force to form an assembled template for polymer casting. A magnetic field with polka-dot pattern was also utilized to align particles on desired positions. After polymer casting and removal of the sugar template, spherical pores were generated inside scaffold. For future application in vascular tissue engineering, we extended the scaffold fabrication to straight tubular scaffolds by winding 2D porous sheets on sacrificial molds. The biocompatibility of the developed scaffold was confirmed by viable cells after 4-day culture.
Tomoyuki Uchida, Hiroyuki Oura, Seiichi Ikeda, Fumihito Arai, Makoto Negoro, Toshio Fukuda
ICRA1
2008 Learning Block-Preserving Outerplanar Graph Patterns and Its Application to Data Mining
Hitoshi Yamasaki, Yosuke Sasaki, Takayoshi Shoudai, Tomoyuki Uchida, Yusuke Suzuki
ILP4
2007 Exact Learning of Finite Unions of Graph Patterns from Queries
Rika Okada, Satoshi Matsumoto, Tomoyuki Uchida, Yusuke Suzuki, Takayoshi Shoudai
ALT3
2007 Mining of Frequent Block Preserving Outerplanar Graph Structured Patterns
Yosuke Sasaki, Hitoshi Yamasaki, Takayoshi Shoudai, Tomoyuki Uchida
ILP4
2006 Ordered term tree languages which are polynomial time inductively inferable from positive data
Yusuke Suzuki, Takayoshi Shoudai, Tomoyuki Uchida, Tetsuhiro Miyahara
Theor. Comput. Sci.3
2005 A Polynomial Time Matching Algorithm of Ordered Tree Patterns Having Height-Constrained Variables
Kazuhide Aikou, Yusuke Suzuki, Takayoshi Shoudai, Tomoyuki Uchida, Tetsuhiro Miyahara
CPM4
2005 Polynomial Time Inductive Inference of TTSP Graph Languages from Positive Data
Ryoji Takami, Yusuke Suzuki, Tomoyuki Uchida, Takayoshi Shoudai, Yasuaki Nakamura
ILP3
2004 Discovery of Maximally Frequent Tag Tree Patterns with Contractible Variables from Semistructured Documents
Tetsuhiro Miyahara, Yusuke Suzuki, Takayoshi Shoudai, Tomoyuki Uchida, Kenichi Takahashi, Hiroaki Ueda
PAKDD4
2004 Finding Frequent Structural Features among Words in Tree-Structured Documents
Tomoyuki Uchida, Tomonori Mogawa, Yasuaki Nakamura
PAKDD1
2003 Learning of Finite Unions of Tree Patterns with Repeated Internal Structured Variables from Queries
Satoshi Matsumoto, Yusuke Suzuki, Takayoshi Shoudai, Tetsuhiro Miyahara, Tomoyuki Uchida
ALT5
2003 Efficient Learning of Ordered and Unordered Tree Patterns with Contractible Variables
Yusuke Suzuki, Takayoshi Shoudai, Satoshi Matsumoto, Tomoyuki Uchida, Tetsuhiro Miyahara
ALT4
2003 Efficient Learning of Unlabeled Term Trees with Contractible Variables from Positive Data
Yusuke Suzuki, Takayoshi Shoudai, Satoshi Matsumoto, Tomoyuki Uchida
ILP4
2003 An Effective Grammar-Based Compression Algorithm for Tree Structured Data
Kazunori Yamagata, Tomoyuki Uchida, Takayoshi Shoudai, Yasuaki Nakamura
ILP2
2003 Finding Frequent Subgraphs from Graph Structured Data with Geometric Information and Its Application to Lossless Compression
Yuko Itokawa, Tomoyuki Uchida, Takayoshi Shoudai, Tetsuhiro Miyahara, Yasuaki Nakamura
PAKDD2
2003 Extraction of Tag Tree Patterns with Contractible Variables from Irregular Semistructured Data
Tetsuhiro Miyahara, Yusuke Suzuki, Takayoshi Shoudai, Tomoyuki Uchida, Sachio Hirokawa, Kenichi Takahashi, Hiroaki Ueda
PAKDD4
2002 Ordered Term Tree Languages which Are Polynomial Time Inductively Inferable from Positive Data
Yusuke Suzuki, Takayoshi Shoudai, Tomoyuki Uchida, Tetsuhiro Miyahara
ALT3
2002 Polynomial Time Inductive Inference of Ordered Tree Patterns with Internal Structured Variables from Positive Data
Yusuke Suzuki, Ryuta Akanuma, Takayoshi Shoudai, Tetsuhiro Miyahara, Tomoyuki Uchida
COLT5
2002 A Polynomial Time Matching Algorithm of Structured Ordered Tree Patterns for Data Mining from Semistructured Data
Yusuke Suzuki, Kohtaro Inomae, Takayoshi Shoudai, Tetsuhiro Miyahara, Tomoyuki Uchida
ILP5
2002 Extracting Characteristic Structures among Words in Semistructured Documents
Kazuyoshi Furukawa, Tomoyuki Uchida, Kazuya Yamada, Tetsuhiro Miyahara, Takayoshi Shoudai, Yasuaki Nakamura
PAKDD2
2002 Discovery of Frequent Tag Tree Patterns in Semistructured Web Documents
Tetsuhiro Miyahara, Yusuke Suzuki, Takayoshi Shoudai, Tomoyuki Uchida, Kenichi Takahashi, Hiroaki Ueda
PAKDD4
2001 Polynomial Time Algorithms for Finding Unordered Tree Patterns with Internal Variables
Takayoshi Shoudai, Tomoyuki Uchida, Tetsuhiro Miyahara
FCT2
2001 Discovery of Frequent Tree Structured Patterns in Semistructured Web Documents
Tetsuhiro Miyahara, Takayoshi Shoudai, Tomoyuki Uchida, Kenichi Takahashi, Hiroaki Ueda
PAKDD3
2001 ProDDO: a database of disordered proteins from the Protein Data Bank (PDB)
abstract
Abstract Summary: ProDDO represents a ‘pre-screened’ database that denotes disorder (or possible disorder) in proteins from the PDB. Availability: ProDDO is available at http://bonsai.ims.u-tokyo.ac.jp/~klsim/database.html Contact: [email protected] * To whom correspondence should be addressed. Present address: Kentucky Center for Structural Biology, Department of Biochemistry, University of Kentucky, 800 Rose Street, Lexington, KY 40536-0298, USA.
Kim Lan Sim, Tomoyuki Uchida, Satoru Miyano
Bioinform.2
2000 A New Framework for Discovering Knowledge from Two-Dimensional Structured Data Using Layout Formal Graph System
Tomoyuki Uchida, Yuko Itokawa, Takayoshi Shoudai, Tetsuhiro Miyahara, Yasuaki Nakamura
ALT1
2000 Polynomial Time Matching Algorithms for Tree-Like Structured Patterns in Knowledge Discovery
Tetsuhiro Miyahara, Takayoshi Shoudai, Tomoyuki Uchida, Kenichi Takahashi, Hiroaki Ueda
PAKDD3
1999 Designing Views in HypothesisCreator: System for Assisting in Discovery
Osamu Maruyama, Tomoyuki Uchida, Kim Lan Sim, Satoru Miyano
Discovery Science2
1999 Inductive Inference of Regular Term Free Languages and Its Application to Knowledge Discovery
Takayoshi Shoudai, Tetsuhiro Miyahara, Tomoyuki Uchida, Satoshi Matsumoto
EJC3
1999 KD-FGS: A Knowledge Discovery System from Graph Data Using Formal Graph System
Tetsuhiro Miyahara, Tomoyuki Uchida, Tetsuji Kuboyama, Tasuya Yamamoto, Kenichi Takahashi, Hiroaki Ueda
PAKDD2
1998 Toward Genomic Hypothesis Creator: View Designer for Discovery
Osamu Maruyama, Tomoyuki Uchida, Takayoshi Shoudai, Satoru Miyano
Discovery Science2
1995 BONSAI Garden: Parallel Knowledge Discovery System for Amino Acid Sequences
Takayoshi Shoudai, Michael Lappe, Satoru Miyano, Ayumi Shinohara, Takeo Okazaki, Setsuo Arikawa, Tomoyuki Uchida, Shinichi Shimozono, Takeshi Shinohara, Satoru Kuhara
ISMB7