Tomonobu Ozaki

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 23

Top Topics

Top Venues

ILP (Short Papers)

Publications

Yuta Tanaka, Tomonobu Ozaki
Interactive construction of personalized fashion capsule wardrobes with alternative item recommendations. ICICT (2024)
Yuta Tanaka, Tomonobu Ozaki
An extension of optimal fashion capsule wardrobe construction by considering visual dissimilarity and number of good coordinates. CANDARW (2022)
Ryu Hashimoto, Tomonobu Ozaki
Extraction of Preference and Classification Rules in Floor Plan Databases using Answer Set Programming. CANDARW (2022)
Rento Kurokochi, Tomonobu Ozaki
Rule-based role estimation in werewolf games using probabilistic logic programming. CANDARW (2022)
Kota Matsuyama, Tomonobu Ozaki
Heuristic extraction of co-occurrence patterns for effective construction of graph-based interpretable decision sets. CANDAR (Workshops) (2021)
Kenta Shimada, Tomonobu Ozaki
Adversarial attack detection on node classification by autoencoder-based analysis of hidden layers in graph convolutional networks. CANDAR (Workshops) (2021)
Kota Matsuyama, Tomonobu Ozaki
Extraction of Interpretable Decision Sets in Graph Databases. CANDAR (2020)
Akari Ninomiya, Tomonobu Ozaki
Cooking Recipe Analysis based on Sequences of Distributed Representation on Procedure Texts and Associated Images. CEA@ISMR (2020)
Tomonobu Ozaki
Extraction of Characteristic Subgraph Patterns with Support Threshold from Databases of Floor Plans. CANDAR (2019)
Tomonobu Ozaki, Randy Goebel, Katsumi Inoue
From Fifth Generation Computing to Skill Science - A Biographical Essay of Koichi Furukawa. New Gener. Comput. 37 (2) (2019)
Takuya Namiki, Tomonobu Ozaki
Representation of Recipe Flow Graphs in Succinct Data Structures. CEA@ICMR (2019)
Tomonobu Ozaki
Evaluation Measures for Extended Association Rules Based on Distributed Representations. AINA Workshops (2019)
Akari Ninomiya, Tomonobu Ozaki
Learning Distributed Representation of Recipe Flow Graphs via Frequent Subgraphs. CEA@ICMR (2019)
Kazuki Sato, Tomonobu Ozaki
Estimation of Emotion Type and Intensity in Japanese Tweets Using Multi-task Deep Learning. AINA Workshops (2019)
Saki Kawanobe, Tomonobu Ozaki
Experimental Study of Characterizing Frequent Itemsets Using Representation Learning. AINA Workshops (2018)
Tomonobu Ozaki
Evaluation Measures for Frequent Itemsets Based on Distributed Representations. CANDAR (2018)
Tomonobu Ozaki, Xia Gao, Mako Mizutani
Extraction of Characteristic Sets of Ingredients and Cooking Actions on Cuisine Type. AINA Workshops (2017)
Yosuke Suzuki, Tomonobu Ozaki
Stacked Denoising Autoencoder-Based Deep Collaborative Filtering Using the Change of Similarity. AINA Workshops (2017)
Saki Kawanobe, Tomonobu Ozaki
Extraction of Characteristic Frequent Visual Patterns by Distributed Representation. AINA Workshops (2017)
Tatsuya Toki, Tomonobu Ozaki
Discovery of δ-Tolerance Closed Subgraphs on GPGPU. CANDAR (2017)
Ema Nishizaki, Tomonobu Ozaki
Behavior Analysis of Executed and Attacked Players in Werewolf Game by ILP. ILP (Short Papers) (2016)
Saki Sakaguchi, Tomonobu Ozaki
An Experimental Analysis of Whispers' Effect in Werewolf BBS by Relational Association Rules. ILP (Short Papers) (2016)
Tatsuya Toki, Tomonobu Ozaki
Experimental Evaluation of a GPU-based Frequent Subgraph Miner Using Synthetic Databases. CANDAR (2016)
Koichi Furukawa, Keita Kinjo, Tomonobu Ozaki, Makoto Haraguchi
The Cognitive Role of Analogical Abduction in Skill Acquisition. JSAI-isAI Workshops (2015)
Koichi Furukawa, Keita Kinjo, Tomonobu Ozaki, Makoto Haraguchi
On Skill Acquisition Support by Analogical Rule Abduction. ISIP (2013)
Tomonobu Ozaki, Minoru Etoh
Social Network Discovery from Multiple Log Data through a Behavior Model. AINA Workshops (2012)
Tomonobu Ozaki, Minoru Etoh
Correlation and Contrast Link Formation Patterns in a Time Evolving Graph. ICDM Workshops (2011)
Tomonobu Ozaki, Minoru Etoh
Estimation of Implicit user Influence from Proxy Logs - An Empirical Study on the Effects of Time Difference and Popularity. KDIR (2011)
Riku Kyogoku, Ryo Fujimoto, Tomonobu Ozaki, Takenao Ohkawa
A method for supporting retrieval of articles on protein structure analysis considering users' intention. BMC Bioinform. 12 (S-1) (2011)
Tomonobu Ozaki, Minoru Etoh
Closed and Maximal Subgraph Mining in Internally and Externally Weighted Graph Databases. AINA Workshops (2011)
Hiroyuki Monji, Satoshi Koizumi, Tomonobu Ozaki, Takenao Ohkawa
Interaction site prediction by structural similarity to neighboring clusters in protein-protein interaction networks. BMC Bioinform. 12 (S-1) (2011)
Tomonobu Ozaki, Minoru Etoh
Social Network Inference of Smartphone Users Based on Information Diffusion Models. ADMA (2) (2011)
Kazunori Miyanishi, Tomonobu Ozaki, Takenao Ohkawa
A Method to Identify Protein Names with Iterative Extension of Training Data Set. BICoB (2010)
Yuuki Miyoshi, Tomonobu Ozaki, Takenao Ohkawa
Frequent Pattern Discovery from a Single Graph with Quantitative Itemsets. ICDM Workshops (2009)
Fumiya Nakagaito, Tomonobu Ozaki, Takenao Ohkawa
Discovery of Quantitative Sequential Patterns from Event Sequences. ICDM Workshops (2009)
Masaki Shinoda, Tomonobu Ozaki, Takenao Ohkawa
Weighted Frequent Subgraph Mining in Weighted Graph Databases. ICDM Workshops (2009)
Tomonobu Ozaki, Takenao Ohkawa
Efficient Discovery of Closed Hyperclique Patterns in Multidimensional Structured Databases. ICDM Workshops (2009)
Tomonobu Ozaki, Takenao Ohkawa
Discovery of Correlated Sequential Subgraphs from a Sequence of Graphs. ADMA (2009)
Tomonobu Ozaki, Takenao Ohkawa
Mining Correlated Subgraphs in Graph Databases. PAKDD (2008)
Tomonobu Ozaki, Takenao Ohkawa
Mining Correlated Pairs of Patterns in Multidimensional Structured Databases. ICDM Workshops (2008)
Tsubasa Yamamoto, Tomonobu Ozaki, Takenao Ohkawa
Discovery of Internal and External Hyperclique Patterns in Complex Graph Databases. ICDM Workshops (2008)
Satoshi Koizumi, Keisuke Imada, Tomonobu Ozaki, Takenao Ohkawa
Extraction of Binding Sites in Proteins by Searching for Similar Local Molecular Surfaces. PRIB (2008)
Tomonobu Ozaki, Takenao Ohkawa
Mining Mutually Dependent Ordered Subtrees in Tree Databases. PAKDD Workshops (2008)
Tsubasa Yamamoto, Tomonobu Ozaki, Takenao Ohkawa
Discovery of Frequent Graph Patterns that Consist of the Vertices with the Complex Structures. MCD (2007)
Yasuhiro Kiuchi, Tomonobu Ozaki, Takenao Ohkawa
Partial Geometric Hashing for Retrieving Similar Interaction Protein Using Profile. ITNG (2007)
Tomonobu Ozaki, Takenao Ohkawa
Efficiently Mining Closed Constrained Frequent Ordered Subtrees by Using Border Information. PAKDD (2007)
Hitohiro Shiozaki, Tomonobu Ozaki, Takenao Ohkawa
Mining Closed and Maximal Frequent Induced Free Subtrees. ICDM Workshops (2006)
Tomonobu Ozaki, Takenao Ohkawa
Efficient Mining of Closed Induced Ordered Subtrees in Tree-structured Databases. ICDM Workshops (2006)
Tomoki Watanuma, Tomonobu Ozaki, Takenao Ohkawa
Decision Tree Construction from Multidimensional Structured Data. ICDM Workshops (2006)
Soh Igarashi, Tomonobu Ozaki, Koichi Furukawa
Respiration Reflecting Musical Expression: Analysis of Respiration during Musical Performance by Inductive Logic Programming. ICMAI (2002)
Ikuo Kobayashi, Koichi Furukawa, Tomonobu Ozaki, Mutsumi Imai
A Computational Model for Children's Language Acquisition Using Inductive Logic Programming. Progress in Discovery Science (2002)
Tomonobu Ozaki, Koichi Furukawa
Application of Pruning Techniques for Propositional Learning to Progol. ILP (2001)
Ikuo Kobayashi, Koichi Furukawa, Tomonobu Ozaki, Mutsumi Imai
A Bootstrapping Model for Children's Vocabulary Acquisition using Inductive Logic Programming. Electron. Trans. Artif. Intell. 5 (B) (2001)
Koichi Furukawa, Tomonobu Ozaki
On the Completion of Inverse Entailment for Mutual Recursion and its Application to Self Recursion. ILP Work-in-progress reports (2000)
Koichi Furukawa, Ikuo Kobayashi, Tomonobu Ozaki, Mutsumi Imai
A Model of Children's Vocabulary Acquisition Using Inductive Logic Programming. Discovery Science (1999)
Koichi Furukawa, Tomonobu Ozaki, Tomoko Murakami, Ken Ueno, Keiko Shimazu
Query Evaluation of Deductive Database by MGTP and its Application to Data Mining. DDLP (1997)
Tomonobu Ozaki, Koichi Furukawa, Tomoko Murakami, Ken Ueno
Realizing Progol by Forward Reasoning. ILP (1997)
Koichi Furukawa, Tomoko Murakami, Ken Ueno, Tomonobu Ozaki, Keiko Shimazu
On a Sufficient Condition for the Existence of Most Specific Hypothesis in Progol. ILP (1997)
Hiroshi Fujita, Naoki Yagi, Tomonobu Ozaki, Koichi Furukawa
A New Design and Implementation of Progol by Bottom-Up Computation. Inductive Logic Programming Workshop (1996)