Nozomi Akashi, Yasuo Kuniyoshi, Jo, Taketomo, Mitsuhiro Nishida, Ryo Sakurai, Yasumichi Wakao, Kohei Nakajima, Embedding Bifurcations into Pneumatic Artificial Muscle, Advanced Science, link
Kota Okamoto, Nozomi Akashi, Ippei Obayashi, Kohei Nakajima, Hiroshi Kokubu, Kei Senda, Kazuo Tsuchiya, Shinya Aoi, Sharp changes in fractal basin of attraction in passive dynamic walking, Nonlinear Dynamics, 111, 21941–21955, 2023. link
Siqi Peng, Akihiro Yamamoto, Kimihito Ito, Link prediction on bipartite networks using matrix factorization with negative sample selection, PloS ONE 18(8): e0289658, 2023. link
Kei Amii, Masaaki Nishino, Akihiro Yamamoto, On Representing the Set of All Parse Trees with a Decision Diagram, 人工知能学会論文誌, Vol. 34(6), 1-12, 2019.
Seishi Ouchi, Tomohiko Okayama, Keisuke Otaki, Ryo Yoshinaka, Akihiro Yamamoto, Learning concepts and their unions from positive data with refinement operators, Annals of Mathematics and Artificial Intelligence, Vol. 79(1-3), 181-203, 2017.
Takuro Kutsuna, Akihiro Yamamoto, Outlier detection using binary decision diagrams, Data Mining and Knowledge Discovery, Vol. 31(2), 548-572, 2017.
Takuro Kutsuna, Yoshinao Ishii, Akihiro Yamamoto, Abstraction and refinement of mathematical functions toward SMT-based test-case generation, International Journal on Software Tools for Technology Transfer, Vol. 18(1), 109-120, 2016.
Yasuaki Kobayashi, Hisao Tamaki, Computing the pathwidth of directed graphs with small vertex cover, Information Processing Letters, Vol. 116(19), 547-549, 2016.
Tam Le, Marco Cuturi, Adaptive Euclidean Maps for Histograms: Generalized Aitchison Embeddings, Machine Learning Journal (MLJ), Vol. 99, Issue 2, 169-187, 2014.
Alexander Clark, Ryo Yoshinaka, Distributional learning of parallel multiple context-free grammars, Machine Learning, 96(1-2), 5-31, 2014.
Chihiro Shibata, Ryo Yoshinaka, A comparison of collapsed Bayesian methods for probabilistic finite automata, Machine Learning, 96(1-2), 155-188, 2014.
Makoto Kanazawa, Gregory M. Kobele, Jens Michaelis, Sylvain Salvati, Ryo Yoshinaka, The Failure of the Strong Pumping Lemma for Multiple Context-Free Languages, Theory Comput. Syst., 55(1), 250-278, 2014.
Takeru Inoue, Keiji Takano, Takayuki Watanabe, Jun Kawahara, Ryo Yoshinaka, Akihiro Kishimoto, Koji Tsuda, Shin-ichi Minato, Yasuhiro Hayashi, Distribution Loss Minimization With Guaranteed Error Bound, IEEE Trans. Smart Grid, 5(1), 102-111, 2014.
Tam Le, Yousun Kang, Akihiro Sugimoto, Image Categorization Using Hierarchical Spatial Matching Kernel, Journal of the Institute of Image Electronics Engineers of Japan, Vol. 42, No. 2, 2013.
Sugiyama, M., Hirowatari, E., Tsuiki, H., Yamamoto, A., Learning Figures with the Hausdorff Metric by Fractals – Towards Computable Binary Classification, Machine Learning, (to appear), 2013.
Sugiyama, M., Yamamoto, A. Semi-Supervised Learning on Closed Set Lattices, Intelligent Data Analysis, 17(3), 2013.
Nguyen Viet Anh, Akihiro Yamamoto, Mining of Closed Frequent Subtrees from Frequently Updated Databases, Intelligent Data Analysis, 16(6), 953-967, 2012.
Nguyen Viet Anh, Akihiro Yamamoto, Efficient Mining of Closed Tree Patterns from Large Tree Databases with Subtree Constraint, International Journal on Artificial Intelligence Tools, 21(6), 1250026-1–26, 2012.
Ryo Yoshinaka, Jun Kawahara, Shuhei Denzumi, Hiroaki Arimura, Shin-ichi Minato, Counterexamples to the Long-Standing Conjecture on the Complexity of BDD Binary Operations, Information Processing Letters, 112(16), 636-640, 2012.
Ryo Yoshinaka, Toshiki Saitoh, Jun Kawahara, Koji Tsuruma, Hiroaki Iwashita, Shin-ichi Minato, Finding All Solutions and Instances of Numberlink and Slitherlink by ZDDs, Algorithms, 5(2), 176-213, 2012.
Otaki, K., Sugiyama, M., Yamamoto, A., Privacy Preserving Using Dummy Data for Set Operations in Itemset Mining Implemented with ZDDs, IEICE transactions on information and systems, vol. E95-D No.12, 3017–3025, 2012.
Sugiyama, M., Imajo, K., Otaki, K., Yamamoto, A., Semi-Supervised Ligand Finding Using Formal Concept Analysis, IPSJ Transactions on Mathematical Modeling and Its Applications (TOM), 2012.
Nguyen Viet Anh, Akihiro Yamamoto, Learning from Graph Data by Putting Graphs on the Lattice, Expert Systems with Applications, 39(12), 11172-11182, 2012.
de Brecht, M, Yamamoto, A, Topological properties of concept spaces (full version), Information and Computation, 208(4), 327-340, 2010.
de Brecht, M, Yamamoto, A, Mind change complexity of inferring unbounded unions of restricted pattern languages from positive data, Theoretical Computer Science, 411(7-9), 976-985 , 2010.
Thomas G de Jong, Nozomi Akashi, Tomohiro Taniguchi, Hirofumi Notsu, Kohei Nakajima, Virtual reservoir acceleration for CPU and GPU: Case study for coupled spin-torque oscillator reservoir, Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023) Workshop on Machine Learning with New Compute Paradigms (MLNCP), 2023 link
Siqi Peng, Akihiro Yamamoto, Shinsuke Mori, Tatsuki Sekino, Event Time Extraction from Japanese News Archives, 2022 IEEE International Conference on Big Data (Big Data) (pp. 2556-2564) 2022. link
Hikaru Shindo, Masaaki Nishino, Akihiro Yamamoto, Differentiable Inductive Logic Programming for Structured Examples, 35th AAAI Conference on Artificial Intelligence (AAAI 2021). link
Siqi Peng, Akihiro Yamamoto, Mining Disjoint Sequential Pattern Pairs from Tourist Trajectory Data, Proceedings of 23rd International Conference of Discovery Science (DS 2020), LNAI 12323, 645-658, 2020.
Hikaru Shindo, Masaaki Nishino, Yasuaki Kobayashi, Akihiro Yamamoto, Metric Learning for Ordered Labeled Trees with pq-grams, Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), FAIA 325, 1475-1482, 2020.
Tesshu Hanaka, Yasuaki Kobayashi, Taiga Sone, An Optimal Algorithm for Bisection for Bounded-Treewidth Graph, Proceedings of the 14th International Frontiers of Algorithmics Workshop (FAW 2020), LNCS 12340, 25-36, 2020.
Yasuaki Kobayashi, Kensuke Kojima, Norihide Matsubara, Taiga Sone, Akihiro Yamamoto, Algorithms and hardness results for the maximum balanced connected subgraph problem, Proceedings of the 13th Annual International Conference on Combinatorial Optimization and Applications (COCOA 2019), LNCS 11949, 303-315, 2019.
Yasuaki Kobayashi, Koki Suetsugu, Hideki Tsuiki, Ryuhei Uehara, On the complexity of lattice puzzles, Proceedings of the 30th International Symposium on Algorithms and Computation (ISAAC 2019), LIPICS 149, 32:1-32:12, 2019.
Eto Hiroshi, Tesshu Hanaka, Yasuaki Kobayashi, Yusuke Kobayashi, Parameterized Algorithmis for Maximum Cut with Connectivity Constraints, Proceedings of the 14th International Symposium on Parameterized and Exact Computation (IPEC 2019), LIPICS 148, 13:1-13:15, 2019.
Yasuaki Kobayashi, Yusuke Kobayashi, Shuichi Miyazaki, Suguru Tamaki, An Improved Fixed-Parameter Algorithm for Max-Cut Parameterized by Crossing Number, Proceedings of the 30th International Workshop on Combinatorial Algorithms (IWOCA 2019), LNCS 11638, 327-338, 2019.
Yusuke Shido, Yasuaki Kobayashi, Akihiro Yamamoto, Atsushi Miyamoto, Tadayuki Matsumura, Automatic source code summarization with extended tree-LSTM, Proceedings of the 2019 International Joint Conference on Neural Networks (IJCNN 2019), 1-8, 2019.
Hikaru Shindo, Masaaki Nishino, Akihiro Yamamoto, Using Binary Dicision Diagrams to Enumerate Inductive Logic Programming Solutions, Proceedings of the 28th International Conference on Inductive Logic Programming (ILP 2018), 53-67, 2018.
Eunpyeong Hong, Yasuaki Kobayashi, Akihiro Yamamoto, Improved Methods for Computing Distances between Unordered Trees Using Integer Programming, Proceedings of the 11th Annual International Conference on Combinatorial Optimization and Applications (COCOA 2017), LNCS 10628, 45-60, 2017.
Thi Thanh Thuy Phan, Takenao Ohkawa, Akihiro Yamamoto, Protein-Protein Interaction Extraction from Text by Selecting Linguistic Features, Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2017), 181-187, 2017.
Masaaki Nishino, Kei Amii, Akihiro Yamamoto, On the Sizes of Decision Diagrams Representing the Set of All Parse Trees of a Context-free Grammar, Proceedings of the 3rd Workshop on Advanced Methodologies for Bayesian Networks (AMBN 2017), PMLR 73, 153-164, 2017.
Yasuaki Kobayashi, Hisao Tamaki, Treedepth parameterized by vertex cover number, Proceedings of the 11th International Symposium on Parameterized and Exact Computation (IPEC 2016), LIPICS 63, 18:1-18:11, 2016.
Antoine Rolet, Marco Cuturi, Gabriel Peyré, Fast Dictionary Learning with a Smoothed Wasserstein Loss, Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, (AISTATS 2016), 630-638, 2016.
Tomoya Yamazaki, Akihiro Yamamoto, Tetsuji Kuboyama, Tree PCA for Extracting Dominant Substructures from Labeled Rooted Trees, Proceedings of the 18th International Conference on Discovery Science (DS2015), LNCS 9356, 316-323, 2015.
Keisuke Otaki, Akihiro Yamamoto, Periodical Skeletonization for Partially Periodic Pattern Mining, Proceedings of the 18th International Conference on Discovery Science (DS2015), LNCS 9356, 186-200, 2015.
Keisuke Otaki, Akihiro Yamamoto, Edit Operations on Lattices for MDL-based Pattern Summarization, Proceedings of the International Workshop on Formal Concept Analysis and Applications, FCA&A 2015, co-located with 13th International Conference on Formal Concept Analysis (ICFCA 2015), CEUR Workshop Proceedings Vol. 1434, 17-32, 2015.
Vivien Seguy, Marco Cuturi, Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric, Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015 (NIPS 2015), 3312-3320, 2015.
Tam Le, Marco Cuturi, Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Transformations, International Conference on Machine Learning (ICML), 2015.
Ryo Yoshinaka, Learning Conjunctive Grammars and Contextual Binary Feature Grammars, Proceedings of the 9th International Conference on Language and Automata Theory and Applications, LNCS 8977, 623-635, 2015.
Alexander Clark, Ryo Yoshinaka, An Algebraic Approach to Multiple Context-Free Grammars, Proceedings of the 8th International Conference on Logical Aspects of Computational Linguistics, LNCS 8535, 57-69, 2014.
Binou, M., Otaki, K., Ikeda, M., Yoshinaka, R., Yamamoto, A., Constructing a Grammar for Infering Common Structure of Two Strings and Its Application to Compression, In Proc. of Workshop on Graph-based Algorithms for Big Data and its Applications (GABA2014), 2014.
Sugiyama, M., Otaki, K., Detecting Anomalous Subgraphs on Attributed Graphs Using Graph Cuts, In Proc. of Workshop on Graph-based Algorithms for Big Data and its Applications (GABA2014), 2014.
Yamaguchi, S., Ikeda, M., Otaki, K., Yoshinaka, R., Yamamoto, A., Finding All Premises of A Propositional Formula using Binary Decision Diagrams, In Proc. of Workshop on Graph-based Algorithms for Big Data and its Applications (GABA2014), 2014.
Nishimura, S., Otaki, K., Ikeda, M., Yoshinaka, R., Yamamoto, A., Uno, T., Updating a Closed Itemset Family Based on Inclusion Relations, In Proc. of Workshop on Graph-based Algorithms for Big Data and its Applications (GABA2014), 2014.
Yamazaki, T., Otaki, K., Ikeda, M., Yamamoto, A., Kuboyama, T., Local Similarity between Semi-Ordered Trees by Finding the Constrained Mapping, In Proc. of Workshop on Graph-based Algorithms for Big Data and its Applications (GABA2014), 2014.
Keisuke Otaki, Madori Ikeda, Akihiro Yamamoto, Pattern Structures for Understanding Episode Patterns, Proceedings of the 11th International Conference on Concept Lattices and Their Applications, CEUR Workshop Proceedings Vol. 1252, 47-58, 2014.
Madori Ikeda, Keisuke Otaki, Akihiro Yamamoto, Formal Concept Analysis for Process Enhancement Based on a Pair of Perspectives, Proceedings of the 11th International Conference on Concept Lattices and Their Applications, CEUR Workshop Proceedings Vol. 1252, 59-70, 2014.
Seiichi Kondo, Keisuke Otaki, Madori Ikeda, Akihiro Yamamoto, Fast Computation of The Tree Edit Distance Between Unordered Trees Using IP Solvers, Proceedings of the 17th International Conference on Discovery Science, LNCS 8777, 156-167, 2014.
Tomohiko Okayama, Ryo Yoshinaka, Keisuke Otaki, Akihiro Yamamoto, A Sufficient Condition for Learning Unbounded Unions of Languages with Refinement Operators, Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2014.
Chihiro Shibata, Ryo Yoshinaka, PAC Learning of Some Subclasses of Context-Free Grammars with Basic Distributional Properties from Positive Data, Proceedings of the 24th International Conference on Algorithmic Learning Theory, LNCS 8139, 143-157, 2013.
Tam Le, Marco Cuturi, Generalized Aitchison Embeddings for Histograms, The 5th Asian Conference for Machine Learning (ACML), JMLR v.29, 2013.
Ikeda, M., Yamamoto, A., Classification by Selecting Plausible Formal Concepts in a Concept Lattice, Proceedings of Workshop on Formal Concept Analysis meets Information Retrieval (FCAIR2013), 22-35, 2013.
Tamás Horváth, Keisuke Otaki, Jan Ramon, Efficient Frequent Connected Induced Subgraph Mining in Graphs of Bounded Tree-Width, Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2013), LNAI 8188, 622-637, 2013.
Ryo Yoshinaka, An Attempt Towards Learning Semantics: Distributional Learning of IO Context-Free Tree Grammars, Proceedings of the 11th International Workshop on Tree Adjoining Grammars and Related Formalisms, 90-98, 2012.
Chihiro Shibata, Ryo Yoshinaka, Marginalizing Out Transition Probabilities for Several Subclasses of PFAs, Proceedings of the 11th International Conference on Grammatical Inference, JMLR Workshop and Conference Proceedings, Vol. 21, 259-263, 2012.
Alexander Clark, Ryo Yoshinaka, Beyond Semilinearity: Distributional Learning of Parallel Multiple Context-free Grammars, Proceedings of the 11th International Conference on Grammatical Inference, JMLR Workshop and Conference Proceedings, Vol. 21, 84-96, 2012.
Ryo Yoshinaka, Integration of the Dual Approaches in the Distributional Learning of Context-Free Grammars, Proceedings of the 6th International Conference on Language and Automata Theory and Applications, LNCS 7183, 538-550, 2012.
Imajo, K., Otaki, K., Yamamoto, A., Binary Classification Using Fast Gaussian Filtering Algorithm, Proceedings of Third Workshop on Algorithms for Large-Scale Information Processing in Knowledge Discovery (ALSIP 2012), 2012.
Otaki, K., Yamamoto, A., Estimation of Generating Processes of Strings Represented with Patterns and Substitutions, Proceedings of the 11th International Conference on Grammatical Inference (ICGI 2012), 21:177-182, 2012.
Anna Kasprzik, Ryo Yoshinaka, Distributional Learning of Simple Context-Free Tree Grammars, Proceedings of the 22nd International Conference on Algorithmic Learning Theory, LNAI 6925, 398-412, 2011.
Otaki, K., Yamamoto, A., Preserving Privacy with Dummy Data in Set Operations on Itemsets, Proceedings of Second Workshop on Algorithms for Large-Scale Information Processing in Knowledge Discovery (ALSIP 2011), 2011.
Sugiyama, M., Yamamoto, A., A Fast and Flexible Clustering Algorithm Using Binary Discretization, Proceedings of the 2011 11th IEEE International Conference on Data Mining (ICDM 2011), 1212-1217, 2011.
Sugiyama, M., Yoshioka, T., Yamamoto, A., High-throughput Data Stream Classification on Trees, Proceedings of Second Workshop on Algorithms for Large-Scale Information Processing in Knowledge Discovery (ALSIP 2011), 2011.
Sugiyama, M., Yamamoto, A., The Minimum Code Length for Clustering Using the Gray Code, Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2011), LNAI 6913, 365-380, 2011.
Sugiyama, M., Yamamoto, A., Semi-Supervised Learning for Mixed-Type Data via Formal Concept Analysis, Proceedings of the 19th International Conference on Conceptual Structures (ICCS2011), LNAI 6828, 284-297, 2011.
Mahito Sugiyama, Akihiro Yamamoto, Fast Clustering Based on the Gray-Code, Seventh Workshop on Learning with Logics and Logics for Learning (LLLL2011), 2011.
Kameda, Y., Yamamoto, A., Mining Closed Weighted Itemsets for Numerical Transaction Databases, Proc. of JSAI-isAI 2011 Workshop ALSIP, 197-210, 2011.
Ikeda, M., Nishino, M., Doi, K., Yamamoto, A., Hayashi, S., Semantics of a Graphical Model for Representing Hypotheses and a System Supporting Management of Hypotheses, Proceedings of the Fifth International Conference on Knowledge, Information and Creativity Support Systems (KICSS2010), 159-166, 2010.
Ouchi, S., Yamamoto, A., Learning from Positive Data based on the MINL Strategy with Refinement Operators, Revised Selected Papers of LLLL 2009 (Lecture Notes in Artificial Intelligence 6284), 345-357, 2010.
Viet Anh Nguyen, Akihiro Yamamoto, Incremental Mining of Closed Frequent Subtrees, Proceedings of the 12th International Conference on Discovery Science (Lecture Notes in Artificial Intelligence 6332), 356-370, 2010.
Shin-ya Kuno, Koichiro Doi, Akihiro Yamamoto, Frequent Closed Itemset Mining with Privacy Preserving for Distributed Databases, Proceedings of the 10th ICDM Workshop on Privacy Aspects of Data Mining (PADM 2010), 483-490, 2010.
Sugiyama, M., Yamamoto, A., The Coding Divergence for Measuring the Complexity of Separating Two Sets, Proceedings of the 2nd Asian Conference on Machine Learning (ACML2010), JMLR: Workshop and Conference Proceedings 13, 127-143, 2010.
Sugiyama, M., Hirowatari, E., Tsuiki, H., Yamamoto, A., Learning Figures with the Hausdorff Metric by Fractals, Proceedings of the 21th International Conference on Algorithmic Learning Theory (ALT 2010), Lecture Notes in Artificial Intelligence 6331, 315-329, 2010.
Nguyen, D. A., Doi, K., Yamamoto, A., Discovering the Structures of Open Source Programs from Their Developer Mailing Lists, Proceedings of the 12th International Conference on Discovery Science, (Lecture Notes in Artificial Intelligence 5808), 227-241, 2009.
de Brecht, M., Yamamoto, A., Σ 0α-Admissible Representations, the Sixth International Conference on Computability and Complexity in Analysis, 2009.
Ouchi, S., Yamamoto, A., Learning from Positive Data based on the MINL Strategy with Refinement Operators, Proc. of LLLL 2009, Kyoto, 88-95, 2009.
Sugiyama, M., Hirowatari, E., Tsuiki, H., Yamamoto, A., Learning Figures with the Hausdorff Metric by Self-similar Sets, Proc. of LLLL 2009, Kyoto, 27-34, 2009.
Doi, K., Yamamoto, A., Kernel Functions Based on Derivation, New Frontiers in Applied Data Mining, (Lecture Notes in Artificial Intelligence 5433), 111-122, 2009.
Takamatsu, I. , Kobayashi, M. , Tokunaga, H. , Yamamoto, A., Computing Characteristic Sets of Bounded Unions of Polynomial Ideals, New Frontiers in Artificial Intelligence, LNAI 4914, 318-329, 2008.
Kameda, Y., Tokunaga, H. , Yamamoto,.A, Learning Bounded Unions of Noetherian Closed Set Systems Via Characteristic Sets, Proc. ICGI 2008, LNAI 5278, 98-110, 2008.
Murakami, S., Doi, K., Yamamoto, A., Finding Frequent Patterns from Compressed Tree-Structured Data, Proceedings of the 11th International Conference on Discovery Science, (Lecture Notes in Artificial Intelligence 5255), 284-295, 2008.
de Brecht, M., Yamamoto A., Topological Properties of Concept Spaces, Proceedings of the 19th International Conference on Algorithmic Learning Theory, (Lecture Notes in Artificial Intelligence 5254), 374-388, 2008.
Doi, K., Yamamoto, A., Kernel Functions Based on Derivation, Proceedings of the First International Workshop on Algorithms for Large-Scale Information Processing in Knowledge Discovery (ALSIP2008), 124-134, 2008.
Sankoh, H., Doi, K., Yamamoto, A., An Intentional Kernel Function for RNA Classification, Proceedings of the 10th International Conference on Discovery Science, (Lecture Notes in Artificial Intelligence 4755), 281-285, 2007.
Doi, K., Yamashita, T., Yamamoto, A., An Efficient Algorithm for Computing Kernel Function Defined with Anti-unification, Post-proceedings of the 16th International Conference of Inductive Logic Programming, (Lecture Notes in Artificial Intelligence 4455), 139-153, 2007.
de Brecht, M., Kobayashi, M., Tokunaga, H., Yamamoto, A., Inferability of Closed Set Systems From Positive Data, New Fromtiers in Artificial Intelligence (Lecture Notes in Artificial Intelligence 4384), Springer, 265-275, 2007.
de Brecht, M, Yamamoto A., Mind Change Complexity of Inferring Unbounded Unions of Pattern Languages from Positive Data, Proceedings of the 17th International Conference on Algorithmic Learning Theory (Lecture Notes in Artificial Intelligence 4264), Springer, 158-168, 2006.
Sugiyama, M., Hirowatari, E., Tsuiki, H., Yamamoto, A., Learning from Real-Valued Data with the Model Inference Mechanism through the Gray-Code Embedding, Proc. of LLLL 2006, JSAI , Tokyo, 31-37, 2006.
de Brecht, M., Kobayashi, M., Tokunaga, H., Yamamoto, A., Inferability of Closed Set Systems From Positive Data, Proc. of LLLL 2006, JSAI , Tokyo, 11-17, 2006.
国際会議発表
Nozomi Akashi, Yasuo Kuniyoshi, Taketomo Jo, Mitsuhiro Nishida, Ryo Sakurai, Yasumichi Wakao, Kohei Nakajima, Embedding bifurcation structures into a soft robotic actuator, 10th International Congresson Industrial and Applied Mathematics (ICIAM2023), 2023.
Kota Okamoto, Nozomi Akashi, Ippei Obayashi, Hiroshi Kokubu, Kohei Nakajima, Kei Senda, Kazuo Tsuchiya, Shinya Aoi, Sudden change in fractality of basin boundary in passive dynamic walking, The 11th International Symposium on Adaptive Motion of Animals and Machines (AMAM2023), 2023.
Yasuaki Kobayashi, On Structural Parameterization of Node Kayles, The 21st Japan Conference on Discrete and Computational Geometry, Graphs, and Games (JCDCGGG 2018), 2018.
Yasuaki Kobayashi, Koki Suetsugu, Hideki Tsuiki, On the complexity of lattice puzzles, The 21st Japan Conference on Discrete and Computational Geometry, Graphs, and Games (JCDCGGG 2018), 2018.
Sugiyama, M., Imajo, K., Otaki, K., Yamamoto, A., Discovering Ligands for TRP Ion Channels Using Formal Concept Analysis, The 21st International Conference on Inductive Logic Programming (ILP 2011), 2011.
Yudai Kawai, Mahito Sugiyama, Akihiro Yamamoto, Mining RNA Families with Structure Histograms, The 5th International Workshop on Data-Mining and Statistical Science (DMSS2011), 2011.
Masaaki Nishino, Madori Ikeda, Akihiro Yamamoto, Integrating Probabilistic Reasoning and Logic for Expressing Human Inference with Uncertainty, 1st International Workshop on Advanced Methodologies for Bayesian Networks (AMBN 2010), 2010.
Nguyen, V. A., Doi, K., Yamamoto, A., Mining Maximal Tree Patterns with Subtree Constraint, The Third International Workshop on Data-Mining and Statistical Science (DMSS2008), 5-8, 2008.
Baba, J., Yamamoto, A., Text Localization in Scene Images by Using Character Energy and Maximally Stable Extremal Regions, 2013年度人工知能学会全国大会(第27回), 2013.
Sugiyama, M., Imajo, K., Otaki, K., Yamamoto, A., Semi-Supervised Ligand Finding Using Formal Concept Analysis, 第86回MPS・第27回BIO合同研究発表会, IPSJ SIG Technical Report, vol.2011-MPS-86, no.28, 2011.
Nguyen, V. A. , Yamamoto, A, Incremental Mining of Closed Frequent Subtrees, 第12回 データマイニングと統計数理研究会資料, SIG-DMSM, 2010.
Nguyen, D. A., Doi, K., Yamamoto, A., Discovering Structures of Open Source Programs from Relationship between Emails and Source Codes, 日本ソフトウェア科学会第26回大会, 2009.
Keisuke Otaki, Pattern Structure Analysis of Episodes for Sequence Analysis via Extracting Pattern Concepts, 計算理論とビッグデータワークショップ, 2015.
Keisuke Otaki, Akihiro Yamamoto, Probabilistic Models Based on Regular Pattern Languages and Their Learning Problems, Work in Progress Track, Proceedings of the 12th International Conference on Grammatical Inference (ICGI 2014), 2014.
Ikeda, M., Yamamoto, A., Classification by Formal Concept Analysis, Workshop on Data Discretization and Segmentation for Knowledge Discovery (DDS2013), 2013.
杉山 麿人, Learning Figures with the Hausdorff Metric by Self-similar Sets, SLACS 2009, 2009.
de Brecht, M., Yamamoto, A., Mind Change Complexity More Than ω ω in Inductive Inference from Positive Data, SLACS 2007, 2007.
de Brecht, M., 小林 正典, 徳永 浩雄, 山本 章博, 多項式環におけるイデアルの正データからの帰納推論, SLACS 2007, 2007.
書籍
Shinichi Hirai, Hiromi Mochiyama, Kohei Nakajima, Nozomi Akashi, Modeling and Control of Continuum Body, The Science of Soft Robots: Design, Materials and Information Processing, Springer Singapore, 279-318, 2023.
Kohei Nakajima, Hideyuki Sawada, Nozomi Akashi, Information Processing Using Soft Body Dynamics, The Science of Soft Robots: Design, Materials and Information Processing, Springer Singapore, 357-392, 2023.
受賞
Siqi Peng, Akihiro Yamamoto, Specially Selected PaperSpecially Selected Paper FY2023, Information Processing Society of Japan, Z-tca: Fast algorithm for triadic concept analysis using zero-suppressed decision diagrams.Journal of Information Processing, 31, 722-733. link
学位論文
博士論文
2018年度
Vivien Pierre François Seguy, Measure Transport Approaches for Data Visualization and Learning（データの可視化と機械学習に対する測度変換によるアプローチ）
2015年度
Takuro KUTSUNA (沓名 拓郎), Enhancing System Reliability using Abstraction and Efficient Logical Computation（抽象化技術と高速な論理演算を利用したシステムの高信頼化）
Tam Le, Geometry-Aware Learning Algorithms for Histogram Data Using Adaptive Metric Embeddings and Kernel Functions（距離の適応埋込みとカーネル関数を用いたヒストグラムデータからの幾何認識 学習アルゴリズム）
Keisuke OTAKI (大滝 啓介), Algorithmic Approaches to Pattern Mining from Structured Data（構造データからのパターン発見におけるアルゴリズム論的アプローチ）
2014年度
Masaaki NISHINO (西野 正彬), Numerical Optimization Methods based on Discrete Structure for Text Summarization and Relational Learning (文書要約と関係学習のための離散構造に基づいた数値最適化法)
2012年度
Nguyen Viet Anh, Studies on Efficient Methods to Learn from Structured Data（構造データを対象とした学習のための効率的手法に関する研究）
2011年度
Mahito SUGIYAMA (杉山 麿人), Studies on Computational Learning via Discretization（離散化に基づく計算論的学習に関する研究）
2009年度
Matthew de Brecht, Topological and Algebraic Aspects of Algorithmic Learning Theory（計算理論的学習理論の位相的及び代数的な性質）
修士論文
2023年度
石倉 優資, 大規模言語モデルによるプログラム自動修正の摂動を用いた信頼性検証
藤永 淳太, DFA を用いた非マルコフ強化学習における反例解析と SAT による補完
MA JIALI, Non-subgraph Counterfactual Explanation for Node Classification Graph Neural Networks
2022年度
友成 光, 数理最適化を用いたテキスト分類モデルの頑健性検証と敵対的学習への応用
植松 温大, 知識グラフを用いた多肢選択問題に対する選択肢と根拠の生成方法
松原 徳秀, 類似度指標のラベル付き有向グラフへの拡張
2021年度
See Woo Lee, Finding Diverse Solutions in Combinatorial Problems: A Theoretical and Empirical Study
2020年度
Siqi Peng, Improvement of Sequential Pattern Mining Based Trajectory Data Mining to Make the Outputs More Comprehensible
河村 和紀, Tree-LSTMを応用したHTMLデータにおける表構造からの情報抽出
日野 遼人, Farr-Gaoのアルゴリズムを用いた非線形データに対する学習の評価
2019年度
久保田 稜, 可換マッチング問題の固定パラメーター容易性に関する研究
Hikaru Shindo, Metric Learning for Ordered Labeled Trees with pq-grams
2018年度
Ketian Wu, An Extension of Frequent Closed Itemsets and their Enumeration
紫藤 佑介, Tree-LSTMの拡張を用いたソースコード要約
2017年度
Kei Amii (網井 圭), Representing the Set of Parse Trees with a Dicision Diagram (決定グラフを用いた構文木の集合の表現)
越智 朋子, 一貫性指標に基づく特徴選択のための貪欲法が求める解の性質
森 光太郎, 部分木制約下での頻出飽和属性木の列挙手法
2016年度
Chikako YAMAURA (山浦 智佳子), Analysis of Biclustering Algorithms Assuming Several Types of Cluster Structure (クラスタ構造を仮定した場合の双クラスタリングアルゴリズムの解析)
2015年度
Atsuhiro MIYACHIKA (宮近 充裕), Approximate Dictionary Searching Based on Extending Levenshtein Automata for Tries (Levenshteinオートマトンのトライへの拡張を基にした近似的な辞書検索)
Shoichi NISHIMURA (西村 翔一), An Efficient Algorithm to Recalculate Graph Polishing for Change of Threshold (グラフ研磨の閾値の変化に対する高速な再計算手法)
Hasanov Vagif, Activation based regulation of co-adaptation between neurons in deep neural networks (アクティベーションによるディープニューラルネットワーク内ニューロン間の共適応の調整)
Munehito BINOU (尾納 宗仁), Answering Questions on Japanese History for the National Center Test for University Admissions by Comparing Tuples Generated From Texts
Satoru YAMAGUCHI (山口 慧), Parameter Estimation of Stochastic Grammars with Probabilistic Logic Programs (確率論理プログラムを用いた確率文法のパラメータ推定)
Tomoya YAMAZAKI (山崎 朋哉), Tree PCA for Extracting Dominant Substructures from Labeled Rooted Trees (ラベル付き根付き木から特徴的な構造を抽出するためのTree PCA)
2014年度
Kazuaki KARIYAMA (狩山 和亮), Biclustering Binary Matrices Based on Density-first Search for Extracting Communities
2013年度
Tomohiko OKAYAMA (岡山 智彦), A Sufficient Condition for Learning Unbounded Unions of Languages with Refinement Operators
Jun BABA (馬場惇), Detecting Texts in Natural Images: An Approach Applicable to Various Writing Systems and Text Orientations
Yushiro ONO (小野 祐志朗), Identifying How Difficult to Play the Piano from Original Sheet Music Based on Optimal Fingering Movement
Seiichi KONDO (近藤 誠一), Computing Edit Distances between Unordered Trees Using an Integer Programming Solver
2012年度
Kentaro IMAJO (今城 健太郎), A Fast Approximation Algorithm for the Gaussian Filter and Its Application
Keisuke OTAKI (大滝 啓介), Estimation of Generating Processes Represented with Patterns and Substitutions for String Data
Tao JIN (金 涛), Text Classification based on Transportation Distance with Topic Models and Ground Metric Learning
2011年度
北野 貴之, 述語項構造から生成されるタプル集合の比較による歴史事件の説明文書評価
橋谷 祐司, 節論理における不確実性を表す確率モデルと帰結発見のための確率推論
舩戸 一将, 昔話の構成を表現する機能列の推定手法とその評価
2010年度
秦 亮一, 仮想クエリを用いた質問学習による文字列画像検索
福村 貴志, 木構造を利用した自然画像の部分領域検索とフラクタル圧縮・マイニングへの応用
川合 雄大, RNA配列の二次構造候補の列挙アルゴリズムの改善とその応用
本間 毅史, モデル検査法への詳細化概念の導入に基づくソフトウェア信頼性担保手法
2009年度
Nguyen Anh Dinh, Extracting the Structures of Open Source Programs from Their Developer Mailing Lists
池田 真土里, グラフ表現された仮説の管理支援手法とその実装
久野 慎弥, 分散データベースからの頻出飽和アイテム集合の発見
2008年度
木村 誠, 構造を持つ楽曲データを対象とした質問を用いた学習
村上 征嗣, 木文法により圧縮された木構造データからの頻出木パターンの発見
2007年度
大内 聖紫, 正データからの極限同定における極小言語戦略への精密化の適用
三功 浩嗣, RNA 配列を識別する内包カーネルの設計
西野 正彬, 妥当な推測を表すためのグラフモデルとそれに基づく仮説構築支援システム
2006年度
津江 遼子, 頻度付き反単一化による仮説生成と分散情報源への応用
Matthew de Brecht, 正データからの帰納推論と閉包演算
藤井 崇介, 区間クラスタリングによる物語構造の抽出
4回生特別研究 (卒業研究)
2023年度
下田 直樹, 知識グラフを利用した多肢選択問題での解答選択手法
筒井 智哉, 大規模言語モデルを活用した推理小説読み解きのための知識獲得と含意論理式の生成
論田 康平, 形式概念分析におけるオブジェクトの修正に伴う概念束の更新手法
2022年度
向後 拓真, ディープラーニングと自由エネルギーを用いたシュードノットを含むRNAの二次構造予測
林 健吾, 埋め込み理論を用いた新型コロナウイルス新規陽性者数のモデル化
2021年度
田中 大翔, 推理小説と辞書における単語の共起を用いた含意論理式の生成
奥村 光貴, モルフォロジー変換による前処理を用いた染めの型紙データへの自動タグ付け
長野 駿介, 最短非分離パス問題のパラメータ化計算複雑度に関する研究
2020年度
吉村 仁志, 多段階頂点被覆集合問題とその一般化に対する固定パラメータ容易性の研究
窪田 一誠, WordNetを用いたデータ拡張による知識グラフに対する質問応答精度の向上
2019年度
馬越 雅人, 抽象構文木の関係に基づく条件付き確率場を用いた変数名予測
曽根 大雅, 最大平衡連結部分グラフ問題に対するアルゴリズムと計算複雑性
松原 徳秀, 出現頻度に対する定義を緩和した飽和アイテム集合とその列挙アルゴリズム
2018年度
里見 琢聞, 動的計画法による文字列データの線形最小汎化問題の求解アルゴリズム
松田 浩幸, 前後のトークン列と抽象構文木のパスからの学習による変数名の復元
Woo Jeongwoo, Bottom-up距離を用いる木構造データ集合からの特徴抽出
白川 祐成, 染めの型紙データへの自動タグ付けに対する画像切り出しにより前処理
2017年度
新藤 光, 二分決定グラフを用いた帰納論理プログラミングの解の列挙
増田 秀斗, 双クラスタリングに置ける目的関数としての符号化コストの改良
江良 佳朗, ドライブデータからの運転手間相違を表す属性のDTWによる発見
向井 達郎, トークンのN-gramによるプログラムの表現を用いたコードクローン検出手法
久保田 稜, 整数計画法による木構造データ間のアラインメント距離の計算
神谷 元太, 畳み込みニューラルネットワークを用いた型紙データの分類
2016年度
飯塚 義徳, 主成分分析と強化学習を用いた離散値データに対する半教師ありクラスタリング
佐藤 壮磨, 共同開発プログラムに対してメールを用いて生成されたクラスタへのラベル付け
紫藤 佑介, モジュラ性を基準とした関係データに対する特徴選択
Eunpyeong Hong, 整数計画法による木間距離の計算の高速化
2015年度
網井 圭, DTW距離の平滑化による時系列データの因子分析
越智 朋子, 非交叉パターン言語の多項式時間帰納推論の拡張と順序木パターンへの一般化
前川 政司, 単語ベクトルを用いた文書におけるトピック検出
2014年度
各務 将士, 対象の属性を考慮した構造的行列因子分解による推薦システム
森 光太朗, バンディットアルゴリズムを用いた近似的最大共通部分木の計算
安達 弘憲, 最適輸送距離を用いた古典和歌集における母音列の頻度分布の変化点検出
2013年度
西村 翔一, アイテム集合間の包含関係に基づく飽和アイテム集合族の更新手法
尾納 宗仁, 二つの文字列に共通する構造を表現する文法の構成とそれを用いた文字列圧縮
畠山 貴行, 新聞記事に出現する語彙を利用した株価変動におけるフェーズの同定手法
山崎 朋哉, 二つの前順序木からの制約マッピングに基づく類似局所構造の抽出
山口 慧, 二分決定グラフを用いた命題論理式の前提の列挙
2012年度
宮近 充裕, クラスタリングと文字列比較を用いた文書画像検索
狩山 和亮, 文字列パターンとMathMLによる構造を利用した数学問題文の検索
小浜翔太郎, 述語項構造の包摂関係に基づいたテキスト間の含意関係の認識
圡井 雅人, 食材混合順序に着目した複数レシピ間の共通構造の抽出
2011年度
小野 祐志朗, シーケンシャルマイニングを利用した楽譜の特徴抽出と分類
近藤 誠一, SATソルバーを用いた帰納論理プログラミング
西浦 祐弥, 開発者メーリングリストのシーケンシャルマイニングによるソフトウェアの特徴抽出
2010年度
大滝 啓介, 分散データベースからのプライバシー保護頻出飽和パターン発見手法の提案
吉岡 正志, 符号化ダイバージェンスを用いたクラス分類のためのオンラインアルゴリズム
吉田 康平, 係り受け構造を用いた応答発話規則の帰納的学習
2009年度
國見 武史, 内包カーネル関数に基づいたRNA配列中のシュードノット構造の識別手法
西崎 錬平, 単旋律の記号列的扱いに基づいた作曲家の特徴抽出
舩戸 一将, 形式概念分析を利用した短編小説の文脈可視化
牧垣 秀一朗, 文字列データマイニング手法を用いた文献画像からの知識発見手法
2008年度
川合 雄大, RNA配列が持ち得る二次構造の候補の列挙
石田 保輝, 形式概念解析と決定木の組合せとそのネットワーク攻撃検知への適用
本間 毅史, 仕様の説明と検証用データを付加したソースコード公開のための枠組みの提案
2007年度
久野 慎弥, MusicXMLデータを対象とした頻出フレーズパターンの発見
澤田石 翔太, RNA構造予測を目的としたカーネルの選択と配列分割法
2006年度
木村 誠, 機械学習システムにおける精密化を表現するための言語
Nguyen Anh Dinh, BDIフレームワーク への履歴の導入とマルコフモデルによる解の選択