| 2025 | PKAW | Visibility Improvement in Grad-CAM via High-Resolution Feature Maps with FeatUp. | Kentaro Kadowaki, Yoshitaka Kameya |
| 2021 | MVA | Understanding the Reason for Misclassification by Generating Counterfactual Images. | Muneaki Suzuki, Yoshitaka Kameya, Takuro Kutsuna, Naoki Mitsumoto |
| 2019 | IJCNN | Contrastive Relevance Propagation for Interpreting Predictions by a Single-Shot Object Detector. | Hideomi Tsunakawa, Yoshitaka Kameya, Hanju Lee, Yosuke Shinya, Naoki Mitsumoto |
| 2016 | DaWaK | An Exhaustive Covering Approach to Parameter-Free Mining of Non-redundant Discriminative Itemsets. | Yoshitaka Kameya |
| 2016 | TrustBus | Bottom-Up Cell Suppression that Preserves the Missing-at-random Condition. | Yoshitaka Kameya, Kentaro Hayashi |
| 2013 | DaWaK | Depth-First Traversal over a Mirrored Space for Non-redundant Discriminative Itemsets. | Yoshitaka Kameya, Hiroki Asaoka |
| 2012 | SDM | RP-growth: Top-k Mining of Relevant Patterns with Minimum Support Raising. | Yoshitaka Kameya, Taisuke Sato |
| 2011 | CEC | Pattern-based preservation of building blocks in genetic algorithms. | Yoshitaka Kameya, Chativit Prayoonsri |
| 2011 | ILP | Variational Bayes Inference for Logic-Based Probabilistic Models on BDDs. | Masakazu Ishihata, Yoshitaka Kameya, Taisuke Sato |
| 2011 | ICTAI | Time Series Discretization via MDL-Based Histogram Density Estimation. | Yoshitaka Kameya |
| 2011 | ICTAI | Verbal Characterization of Probabilistic Clusters Using Minimal Discriminative Propositions. | Yoshitaka Kameya, Satoru Nakamura, Tatsuya Iwasaki, Taisuke Sato |
| 2010 | ICTAI | Mode-Directed Tabling for Dynamic Programming, Machine Learning, and Constraint Solving. | Neng-Fa Zhou, Yoshitaka Kameya, Taisuke Sato |
| 2009 | IJCAI | Evaluating Abductive Hypotheses using an EM Algorithm on BDDs. | Katsumi Inoue, Taisuke Sato, Masakazu Ishihata, Yoshitaka Kameya, Hidetomo Nabeshima |
| 2008 | GECCO | Accelerating genetic programming by frequent subtree mining. | Yoshitaka Kameya, Junichi Kumagai, Yoshiaki Kurata |
| 2005 | IJCAI | Generative Modeling with Failure in PRISM. | Taisuke Sato, Yoshitaka Kameya, Neng-Fa Zhou |
| 2004 | ECAI | Yet More Efficient EM Learning for Parameterized Logic Programs by Inter-Goal Sharing. | Yoshitaka Kameya, Taisuke Sato, Neng-Fa Zhou |
| 2004 | LOPSTR | Negation Elimination for Finite PCFGs. | Taisuke Sato, Yoshitaka Kameya |
| 1999 | DIS | A Graphical Method for Parameter Learning of Symbolic-Statistical Models. | Yoshitaka Kameya, Nobuhisa Ueda, Taisuke Sato |
| 1998 | DIS | Abstracting a Human's Decision Process by PRISM. | Yoshitaka Kameya, Taisuke Sato |
| 1997 | IJCAI | PRISM: A Language for Symbolic-Statistical Modeling. | Taisuke Sato, Yoshitaka Kameya |