A New Design and Implementation of Progol by Bottom-Up Computation. - Hiroshi Fujita; Naoki Yagi; Tomonobu Ozaki; Koichi Furukawa (Inductive Logic Programming Workshop, 1996)

Query Evaluation of Deductive Database by MGTP and its Application to Data Mining. - Koichi Furukawa; Tomonobu Ozaki; Tomoko Murakami; Ken Ueno; Keiko Shimazu (DDLP, 1997)

On a Sufficient Condition for the Existence of Most Specific Hypothesis in Progol. - Koichi Furukawa; Tomoko Murakami; Ken Ueno; Tomonobu Ozaki; Keiko Shimazu (ILP, 1997)

Realizing Progol by Forward Reasoning. - Tomonobu Ozaki; Koichi Furukawa; Tomoko Murakami; Ken Ueno (ILP, 1997)

A Model of Children's Vocabulary Acquisition Using Inductive Logic Programming. - Koichi Furukawa; Ikuo Kobayashi; Tomonobu Ozaki; Mutsumi Imai (Discovery Science, 1999)

On the Completion of Inverse Entailment for Mutual Recursion and its Application to Self Recursion. - Koichi Furukawa; Tomonobu Ozaki (ILP Work-in-progress reports, 2000)

Application of Pruning Techniques for Propositional Learning to Progol. - Tomonobu Ozaki; Koichi Furukawa (ILP, 2001)

A Bootstrapping Model for Children's Vocabulary Acquisition using Inductive Logic Programming. - Ikuo Kobayashi; Koichi Furukawa; Tomonobu Ozaki; Mutsumi Imai (Electron. Trans. Artif. Intell., 2001)

A Computational Model for Children's Language Acquisition Using Inductive Logic Programming. - Ikuo Kobayashi; Koichi Furukawa; Tomonobu Ozaki; Mutsumi Imai (Progress in Discovery Science, 2002)

Respiration Reflecting Musical Expression: Analysis of Respiration during Musical Performance by Inductive Logic Programming. - Soh Igarashi; Tomonobu Ozaki; Koichi Furukawa (ICMAI, 2002)

Efficient Mining of Closed Induced Ordered Subtrees in Tree-structured Databases. - Tomonobu Ozaki; Takenao Ohkawa (ICDM Workshops, 2006)

Mining Closed and Maximal Frequent Induced Free Subtrees. - Hitohiro Shiozaki; Tomonobu Ozaki; Takenao Ohkawa (ICDM Workshops, 2006)

Decision Tree Construction from Multidimensional Structured Data. - Tomoki Watanuma; Tomonobu Ozaki; Takenao Ohkawa (ICDM Workshops, 2006)

Discovery of Frequent Graph Patterns that Consist of the Vertices with the Complex Structures. - Tsubasa Yamamoto; Tomonobu Ozaki; Takenao Ohkawa (MCD, 2007)

Partial Geometric Hashing for Retrieving Similar Interaction Protein Using Profile. - Yasuhiro Kiuchi; Tomonobu Ozaki; Takenao Ohkawa (ITNG, 2007)

Efficiently Mining Closed Constrained Frequent Ordered Subtrees by Using Border Information. - Tomonobu Ozaki; Takenao Ohkawa (PAKDD, 2007)

Mining Correlated Pairs of Patterns in Multidimensional Structured Databases. - Tomonobu Ozaki; Takenao Ohkawa (ICDM Workshops, 2008)

Discovery of Internal and External Hyperclique Patterns in Complex Graph Databases. - Tsubasa Yamamoto; Tomonobu Ozaki; Takenao Ohkawa (ICDM Workshops, 2008)

Mining Correlated Subgraphs in Graph Databases. - Tomonobu Ozaki; Takenao Ohkawa (PAKDD, 2008)

Mining Mutually Dependent Ordered Subtrees in Tree Databases. - Tomonobu Ozaki; Takenao Ohkawa (PAKDD Workshops, 2008)

Extraction of Binding Sites in Proteins by Searching for Similar Local Molecular Surfaces. - Satoshi Koizumi; Keisuke Imada; Tomonobu Ozaki; Takenao Ohkawa (PRIB, 2008)

Discovery of Correlated Sequential Subgraphs from a Sequence of Graphs. - Tomonobu Ozaki; Takenao Ohkawa (ADMA, 2009)

Frequent Pattern Discovery from a Single Graph with Quantitative Itemsets. - Yuuki Miyoshi; Tomonobu Ozaki; Takenao Ohkawa (ICDM Workshops, 2009)

Discovery of Quantitative Sequential Patterns from Event Sequences. - Fumiya Nakagaito; Tomonobu Ozaki; Takenao Ohkawa (ICDM Workshops, 2009)

Efficient Discovery of Closed Hyperclique Patterns in Multidimensional Structured Databases. - Tomonobu Ozaki; Takenao Ohkawa (ICDM Workshops, 2009)

Weighted Frequent Subgraph Mining in Weighted Graph Databases. - Masaki Shinoda; Tomonobu Ozaki; Takenao Ohkawa (ICDM Workshops, 2009)

A Comparative Analysis of Metabolic Pathways Based on Metabolic Steady States. - Yuta Ashida; Tomonobu Ozaki; Takenao Ohkawa (Inf. Media Technol., 2009)

Selection of Effective Sentences from a Corpus to Improve the Accuracy of Identification of Protein Names. - Kazunori Miyanishi; Tomonobu Ozaki; Takenao Ohkawa (Inf. Media Technol., 2009)

A Method to Identify Protein Names with Iterative Extension of Training Data Set. - Kazunori Miyanishi; Tomonobu Ozaki; Takenao Ohkawa (BICoB, 2010)

A Method to Extract Sentences Containing Protein Function Information with Training Data Extension Based on User's Feedback. - Kazunori Miyanishi; Tomonobu Ozaki; Takenao Ohkawa (Inf. Media Technol., 2010)

Social Network Inference of Smartphone Users Based on Information Diffusion Models. - Tomonobu Ozaki; Minoru Etoh (ADMA (2), 2011)

Closed and Maximal Subgraph Mining in Internally and Externally Weighted Graph Databases. - Tomonobu Ozaki; Minoru Etoh (AINA Workshops, 2011)

Estimation of Implicit user Influence from Proxy Logs - An Empirical Study on the Effects of Time Difference and Popularity. - Tomonobu Ozaki; Minoru Etoh (KDIR, 2011)

Correlation and Contrast Link Formation Patterns in a Time Evolving Graph. - Tomonobu Ozaki; Minoru Etoh (ICDM Workshops, 2011)

A method for supporting retrieval of articles on protein structure analysis considering users' intention. - Riku Kyogoku; Ryo Fujimoto; Tomonobu Ozaki; Takenao Ohkawa (BMC Bioinform., 2011)

Interaction site prediction by structural similarity to neighboring clusters in protein-protein interaction networks. - Hiroyuki Monji; Satoshi Koizumi; Tomonobu Ozaki; Takenao Ohkawa (BMC Bioinform., 2011)

Social Network Discovery from Multiple Log Data through a Behavior Model. - Tomonobu Ozaki; Minoru Etoh (AINA Workshops, 2012)

On Skill Acquisition Support by Analogical Rule Abduction. - Koichi Furukawa; Keita Kinjo; Tomonobu Ozaki; Makoto Haraguchi (ISIP, 2013)

The Cognitive Role of Analogical Abduction in Skill Acquisition. - Koichi Furukawa; Keita Kinjo; Tomonobu Ozaki; Makoto Haraguchi (JSAI-isAI Workshops, 2015)

Experimental Evaluation of a GPU-based Frequent Subgraph Miner Using Synthetic Databases. - Tatsuya Toki; Tomonobu Ozaki (CANDAR, 2016)

Behavior Analysis of Executed and Attacked Players in Werewolf Game by ILP. - Ema Nishizaki; Tomonobu Ozaki (ILP (Short Papers), 2016)

An Experimental Analysis of Whispers' Effect in Werewolf BBS by Relational Association Rules. - Saki Sakaguchi; Tomonobu Ozaki (ILP (Short Papers), 2016)

Extraction of Characteristic Frequent Visual Patterns by Distributed Representation. - Saki Kawanobe; Tomonobu Ozaki (AINA Workshops, 2017)

Extraction of Characteristic Sets of Ingredients and Cooking Actions on Cuisine Type. - Tomonobu Ozaki; Xia Gao; Mako Mizutani (AINA Workshops, 2017)

Stacked Denoising Autoencoder-Based Deep Collaborative Filtering Using the Change of Similarity. - Yosuke Suzuki; Tomonobu Ozaki (AINA Workshops, 2017)

Discovery of δ-Tolerance Closed Subgraphs on GPGPU. - Tatsuya Toki; Tomonobu Ozaki (CANDAR, 2017)

Experimental Study of Characterizing Frequent Itemsets Using Representation Learning. - Saki Kawanobe; Tomonobu Ozaki (AINA Workshops, 2018)

Evaluation Measures for Frequent Itemsets Based on Distributed Representations. - Tomonobu Ozaki (CANDAR, 2018)

Evaluation Measures for Extended Association Rules Based on Distributed Representations. - Tomonobu Ozaki (AINA Workshops, 2019)

Estimation of Emotion Type and Intensity in Japanese Tweets Using Multi-task Deep Learning. - Kazuki Sato; Tomonobu Ozaki (AINA Workshops, 2019)

Representation of Recipe Flow Graphs in Succinct Data Structures. - Takuya Namiki; Tomonobu Ozaki (CEA@ICMR, 2019)

Learning Distributed Representation of Recipe Flow Graphs via Frequent Subgraphs. - Akari Ninomiya; Tomonobu Ozaki (CEA@ICMR, 2019)

Extraction of Characteristic Subgraph Patterns with Support Threshold from Databases of Floor Plans. - Tomonobu Ozaki (CANDAR, 2019)

From Fifth Generation Computing to Skill Science - A Biographical Essay of Koichi Furukawa. - Tomonobu Ozaki; Randy Goebel; Katsumi Inoue (New Gener. Comput., 2019)

Cooking Recipe Analysis based on Sequences of Distributed Representation on Procedure Texts and Associated Images. - Akari Ninomiya; Tomonobu Ozaki (CEA@ISMR, 2020)

Extraction of Interpretable Decision Sets in Graph Databases. - Kota Matsuyama; Tomonobu Ozaki (CANDAR, 2020)

Heuristic extraction of co-occurrence patterns for effective construction of graph-based interpretable decision sets. - Kota Matsuyama; Tomonobu Ozaki (CANDAR (Workshops), 2021)

Adversarial attack detection on node classification by autoencoder-based analysis of hidden layers in graph convolutional networks. - Kenta Shimada; Tomonobu Ozaki (CANDAR (Workshops), 2021)

Extraction of Preference and Classification Rules in Floor Plan Databases using Answer Set Programming. - Ryu Hashimoto; Tomonobu Ozaki (CANDARW, 2022)

Rule-based role estimation in werewolf games using probabilistic logic programming. - Rento Kurokochi; Tomonobu Ozaki (CANDARW, 2022)

An extension of optimal fashion capsule wardrobe construction by considering visual dissimilarity and number of good coordinates. - Yuta Tanaka; Tomonobu Ozaki (CANDARW, 2022)

Preliminary Study of Named Entity Recognition Techniques in Japanese Light Novels. - Daiki Inoue; Tomonobu Ozaki (CANDARW, 2024)

Recommendation of dinner menu sequences for small groups considering individual preferences and their lunch menu sequences. - Hiroki Takahashi; Tomonobu Ozaki (CANDARW, 2024)

Retrieving similar partial trajectories in soccer games considering surrounding player movements. - Tomonari Yoshida; Tomonobu Ozaki (CANDAR, 2024)

Interactive construction of personalized fashion capsule wardrobes with alternative item recommendations. - Yuta Tanaka; Tomonobu Ozaki (ICICT, 2024)