Industrial application of clone change management system. - Yuki Yamanaka; Eunjong Choi; Norihiro Yoshida; Katsuro Inoue; Tateki Sano (IWSC, 2012)

Applying clone change notification system into an industrial development process. - Yuki Yamanaka; Eunjong Choi; Norihiro Yoshida; Katsuro Inoue; Tateki Sano (ICPC, 2013)

Beyond ℓ1 norm minimization - High quality recovery of non-sparse compressible signals. - Aiko Nishiyama; Yuki Yamanaka; Akira Hirabayashi; Kazushi Mimura (APSIPA, 2014)

Supporting clone analysis with tag cloud visualization. - Manamu Sano; Eunjong Choi; Norihiro Yoshida; Yuki Yamanaka; Katsuro Inoue (InnoSWDev@SIGSOFT FSE, 2014)

Towards an Analysis of Who Creates Clone and Who Reuses it. - Takuya Moriwaki; Hiroshi Igaki; Yuki Yamanaka; Norihiro Yoshida; Shinji Kusumoto; Katsuro Inoue (Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2014)

How We Know the Practical Impact of Clone Analysis. - Norihiro Yoshida; Eunjong Choi; Yuki Yamanaka; Katsuro Inoue (Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2014)

Mass-Spring Damper Array as a Mechanical Medium for Computation. - Yuki Yamanaka; Takaharu Yaguchi; Kohei Nakajima; Helmut Hauser (ICANN (3), 2018)

Student-t Variational Autoencoder for Robust Density Estimation. - Hiroshi Takahashi; Tomoharu Iwata; Yuki Yamanaka; Masanori Yamada; Satoshi Yagi (IJCAI, 2018)

Sigsoftmax: Reanalysis of the Softmax Bottleneck. - Sekitoshi Kanai; Yasuhiro Fujiwara; Yuki Yamanaka; Shuichi Adachi (NeurIPS, 2018)

Variational Autoencoder with Implicit Optimal Priors. - Hiroshi Takahashi; Tomoharu Iwata; Yuki Yamanaka; Masanori Yamada; Satoshi Yagi (AAAI, 2019)

Autoencoding Binary Classifiers for Supervised Anomaly Detection. - Yuki Yamanaka; Tomoharu Iwata; Hiroshi Takahashi; Masanori Yamada; Sekitoshi Kanai (PRICAI (2), 2019)

Supervised Anomaly Detection based on Deep Autoregressive Density Estimators. - Tomoharu Iwata; Yuki Yamanaka (CoRR, 2019)

Joint Position Registration between OpenPose and Motion Analysis for Rehabilitation. - Kazuki Otsuka; Naomi Yagi; Yuki Yamanaka; Yutaka Hata; Yoshitada Sakai (ISMVL, 2020)

Generalized Negative Sampling for Implicit Feedback in Recommendation. - Yuki Yamanaka; Kazunari Sugiyama (WI/IAT, 2021)

Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression. - Masanori Yamada; Sekitoshi Kanai; Tomoharu Iwata; Tomokatsu Takahashi; Yuki Yamanaka; Hiroshi Takahashi; Atsutoshi Kumagai (CoRR, 2021)

Smoothness Analysis of Loss Functions of Adversarial Training. - Sekitoshi Kanai; Masanori Yamada; Hiroshi Takahashi; Yuki Yamanaka; Yasutoshi Ida (CoRR, 2021)

Learning Optimal Priors for Task-Invariant Representations in Variational Autoencoders. - Hiroshi Takahashi; Tomoharu Iwata; Atsutoshi Kumagai; Sekitoshi Kanai; Masanori Yamada; Yuki Yamanaka; Hisashi Kashima (KDD, 2022)

ARDIR: Improving Robustness using Knowledge Distillation of Internal Representation. - Tomokatsu Takahashi; Masanori Yamada; Yuki Yamanaka; Tomoya Yamashita (CoRR, 2022)

Toward Improvement and Evaluation of Reconstruction Capability of CapsNet-Based Wafer Map Defect Pattern Classifier. - Yuki Yamanaka; Masayuki Arai; Yoshikazu Nagamura; Satoshi Fukumoto (ITC-Asia, 2023)

Teleoperation of Mobile Robots Based on MPC with Time-Varying Delay. - Hodaka Aoyama; Yuki Yamanaka; Naoki Matsuura; Yutaka Uchimura (AMC, 2024)

LogELECTRA: Self-supervised Anomaly Detection for Unstructured Logs. - Yuki Yamanaka; Tomokatsu Takahashi; Takuya Minami; Yoshiaki Nakajima (CoRR, 2024)

Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data. - Hiroshi Takahashi; Tomoharu Iwata; Atsutoshi Kumagai; Yuki Yamanaka (CoRR, 2024)

Relationship Between Nonsmoothness in Adversarial Training, Constraints of Attacks, and Flatness in the Input Space. - Sekitoshi Kanai; Masanori Yamada; Hiroshi Takahashi; Yuki Yamanaka; Yasutoshi Ida (IEEE Trans. Neural Networks Learn. Syst., 2024)