Yoshitaka Kameya

According to our database, Yoshitaka Kameya authored at least 41 papers between 1997 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Kidney Cancer Detection from CT Images by Transformer-Based Classifiers.

Toru Tanaka, Takaki Fukazawa, Yoshitaka Kameya, Keiichi Yamada, Kazuhiro Hotta, Tomoichi Takahashi, Naoto Sassa, Yoshihisa Matsukawa, Shingo Iwano, Tokunori Yamamoto

Proceedings of the 14th IIAI International Congress on Advanced Applied Informatics, 2023

Ante- and Post-Hoc Explanations for Prediction Models of Cisplatin-Induced Acute Kidney Injury: A Comparative Study.

Tatsuya Nishizawa, Shogo Hanabusa, Yoshitaka Kameya, Kazuo Takahashi, Naotake Tsuboi, Tomohiro Mizuno

Proceedings of the 7th International Conference on Medical and Health Informatics, 2023

2021

Understanding the Reason for Misclassification by Generating Counterfactual Images.

Muneaki Suzuki, Yoshitaka Kameya, Takuro Kutsuna, Naoki Mitsumoto

Proceedings of the 17th International Conference on Machine Vision and Applications, 2021

Shared-Memory Parallelization of FP-growth with Dynamic Load Estimation and Balancing.

Kentaro Sakurai, Yoshitaka Kameya

Proceedings of the 12th IEEE International Workshop on Computational Intelligence and Applications, 2021

2019

Towards Efficient Discriminative Pattern Mining in Hybrid Domains.

Yoshitaka Kameya

CoRR, 2019

Associative Classification using Common Instances among Conflicting Discriminative Patterns.

Kentaro Maeda, Yoshitaka Kameya

Proceedings of the 2019 International Conference on Technologies and Applications of Artificial Intelligence, 2019

Contrastive Relevance Propagation for Interpreting Predictions by a Single-Shot Object Detector.

Hideomi Tsunakawa, Yoshitaka Kameya, Hanju Lee, Yosuke Shinya, Naoki Mitsumoto

Proceedings of the International Joint Conference on Neural Networks, 2019

2017

Dynamic Re-ordering in Mining Top-k Productive Discriminative Patterns.

Yoshitaka Kameya, Ken'ya Ito

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2017

2016

Bottom-Up Cell Suppression that Preserves the Missing-at-random Condition.

Yoshitaka Kameya, Kentaro Hayashi

Proceedings of the Trust, Privacy and Security in Digital Business, 2016

An Exhaustive Covering Approach to Parameter-Free Mining of Non-redundant Discriminative Itemsets.

Yoshitaka Kameya

Proceedings of the Big Data Analytics and Knowledge Discovery, 2016

2015

A Cloud Education Environment to Support Self-Learning at Home - Analysis of Self-Learning Styles from Log Data.

Tomoichi Takahashi, Kensaku Asahi, Hidekazu Suzuki, Mikiko Kawasumi, Yoshitaka Kameya

Proceedings of the IIAI 4th International Congress on Advanced Applied Informatics, 2015

2014

Using WFSTs for Efficient EM Learning of Probabilistic CFGs and Their Extensions.

Yoshitaka Kameya, Takashi Mori, Taisuke Sato

Inf. Media Technol., 2014

A Logic-based Approach to Generatively Defined Discriminative Modeling.

Taisuke Sato, Keiichi Kubota, Yoshitaka Kameya

CoRR, 2014

2013

Depth-First Traversal over a Mirrored Space for Non-redundant Discriminative Itemsets.

Yoshitaka Kameya, Hiroki Asaoka

Proceedings of the Data Warehousing and Knowledge Discovery, 2013

2012

RP-growth: Top-k Mining of Relevant Patterns with Minimum Support Raising.

Yoshitaka Kameya, Taisuke Sato

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

2011

Variational Bayes Inference for Logic-Based Probabilistic Models on BDDs.

Masakazu Ishihata, Yoshitaka Kameya, Taisuke Sato

Proceedings of the Inductive Logic Programming - 21st International Conference, 2011

Verbal Characterization of Probabilistic Clusters Using Minimal Discriminative Propositions.

Yoshitaka Kameya, Satoru Nakamura, Tatsuya Iwasaki, Taisuke Sato

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Time Series Discretization via MDL-Based Histogram Density Estimation.

Yoshitaka Kameya

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Pattern-based preservation of building blocks in genetic algorithms.

Yoshitaka Kameya, Chativit Prayoonsri

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Discretized Kinetic Models for Abductive Reasoning in Systems Biology.

Gabriel Synnaeve, Katsumi Inoue, Andrei Doncescu, Hidetomo Nabeshima, Yoshitaka Kameya, Masakazu Ishihata, Taisuke Sato

Proceedings of the Biomedical Engineering Systems and Technologies, 2011

Kinetic Models and Qualitative Abstraction for Relational Learning in Systems Biology.

Gabriel Synnaeve, Katsumi Inoue, Andrei Doncescu, Hidetomo Nabeshima, Yoshitaka Kameya, Masakazu Ishihata, Taisuke Sato

Proceedings of the BIOINFORMATICS 2011, 2011

2010

CHR(PRISM)-based probabilistic logic learning.

Jon Sneyers, Wannes Meert, Joost Vennekens, Yoshitaka Kameya, Taisuke Sato

Theory Pract. Log. Program., 2010

An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models.

Masakazu Ishihata, Yoshitaka Kameya, Taisuke Sato, Shin-ichi Minato

Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Mode-Directed Tabling for Dynamic Programming, Machine Learning, and Constraint Solving.

Neng-Fa Zhou, Yoshitaka Kameya, Taisuke Sato

Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

2009

Evaluating Abductive Hypotheses using an EM Algorithm on BDDs.

Katsumi Inoue, Taisuke Sato, Masakazu Ishihata, Yoshitaka Kameya, Hidetomo Nabeshima

Proceedings of the IJCAI 2009, 2009

2008

Variational Bayes via propositionalized probability computation in PRISM.

Taisuke Sato, Yoshitaka Kameya, Kenichi Kurihara

Ann. Math. Artif. Intell., 2008

New Advances in Logic-Based Probabilistic Modeling by PRISM.

Taisuke Sato, Yoshitaka Kameya

Proceedings of the Probabilistic Inductive Logic Programming - Theory and Applications, 2008

Accelerating genetic programming by frequent subtree mining.

Yoshitaka Kameya, Junichi Kumagai, Yoshiaki Kurata

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007

Discovering Concepts from Word Co-occurrences with a Relational Model.

Kenichi Kurihara, Yoshitaka Kameya, Taisuke Sato

Inf. Media Technol., 2007

Variational Bayes via Propositionalization.

Taisuke Sato, Yoshitaka Kameya, Kenichi Kurihara

Proceedings of the Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04., 2007

2005

Generative Modeling with Failure in PRISM.

Taisuke Sato, Yoshitaka Kameya, Neng-Fa Zhou

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Learning through failure.

Taisuke Sato, Yoshitaka Kameya

Proceedings of the Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January, 2005

2004

Negation Elimination for Finite PCFGs.

Taisuke Sato, Yoshitaka Kameya

Proceedings of the Logic Based Program Synthesis and Transformation, 2004

Yet More Efficient EM Learning for Parameterized Logic Programs by Inter-Goal Sharing.

Yoshitaka Kameya, Taisuke Sato, Neng-Fa Zhou

Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2002

Statistical Abduction with Tabulation.

Taisuke Sato, Yoshitaka Kameya

Proceedings of the Computational Logic: Logic Programming and Beyond, 2002

2001

Parameter Learning of Logic Programs for Symbolic-Statistical Modeling.

Taisuke Sato, Yoshitaka Kameya

J. Artif. Intell. Res., 2001

A Separate-and-Learn Approach to EM Learning of PCFGs.

Taisuke Sato, Shigeru Abe, Yoshitaka Kameya, Kiyoaki Shirai

Proceedings of the Sixth Natural Language Processing Pacific Rim Symposium, 2001

2000

Efficient EM Learning with Tabulation for Parameterized Logic Programs.

Yoshitaka Kameya, Taisuke Sato

Proceedings of the Computational Logic, 2000

1999

A Graphical Method for Parameter Learning of Symbolic-Statistical Models.

Yoshitaka Kameya, Nobuhisa Ueda, Taisuke Sato

Proceedings of the Discovery Science, 1999

1998

Abstracting a Human's Decision Process by PRISM.

Yoshitaka Kameya, Taisuke Sato

Proceedings of the Discovery Science, 1998

1997

PRISM: A Language for Symbolic-Statistical Modeling.

Taisuke Sato, Yoshitaka Kameya

Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997