Yuta Kawakami

According to our database, Yuta Kawakami authored at least 18 papers between 2013 and 2026.

Collaborative distances:

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

2026

Nonlinear Data Integration via Kernel Methods for Data Collaboration Analysis.

Yamato Suetake, Yuta Kawakami, Shunnosuke Ikeda, Yuichi Takano

CoRR, May, 2026

Bounds and Identification of Joint Probabilities of Potential Outcomes and Observed Variables under Monotonicity Assumptions.

Naoya Hashimoto, Yuta Kawakami, Jin Tian

CoRR, February, 2026

New solutions based on the generalized eigenvalue problem for the data collaboration analysis.

Yuta Kawakami, Yuichi Takano, Akira Imakura

Inf. Sci., 2026

Potential Outcome Rankings for Counterfactual Decision Making.

Yuta Kawakami, Jin Tian

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Decomposition of Probabilities of Causation with Two Mediators.

Yuta Kawakami, Jin Tian

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Moments of Causal Effects.

Yuta Kawakami, Jin Tian

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Mediation Analysis for Probabilities of Causation.

Yuta Kawakami, Jin Tian

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Identification and Estimation of Conditional Average Partial Causal Effects via Instrumental Variable.

Yuta Kawakami, Manabu Kuroki, Jin Tian

Proceedings of the Uncertainty in Artificial Intelligence, 2024

Probabilities of Causation for Continuous and Vector Variables.

Yuta Kawakami, Manabu Kuroki, Jin Tian

Proceedings of the Uncertainty in Artificial Intelligence, 2024

2023

Instrumental Variable Estimation of Average Partial Causal Effects.

Yuta Kawakami, Manabu Kuroki, Jin Tian

Proceedings of the International Conference on Machine Learning, 2023

Identification and Estimation of the Probabilities of Potential Outcome Types Using Covariate Information in Studies with Non-compliance.

Yuta Kawakami, Ryusei Shingaki, Manabu Kuroki

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Instrumental Variable-based Identification for Causal Effects using Covariate Information.

Yuta Kawakami

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2018

Pitch Synchronized Relative Phase with Peak Error Detection For Noise-robust Speaker Recognition.

Meng Ge, Longbiao Wang, Seiichi Nakagawa, Yuta Kawakami, Jianwu Dang, Xiangang Li

Proceedings of the 11th International Symposium on Chinese Spoken Language Processing, 2018

2017

Spoofing Speech Detection Using Modified Relative Phase Information.

Longbiao Wang, Seiichi Nakagawa, Zhaofeng Zhang, Yohei Yoshida, Yuta Kawakami

IEEE J. Sel. Top. Signal Process., 2017

2016

DNN-Based Amplitude and Phase Feature Enhancement for Noise Robust Speaker Identification.

Zeyan Oo, Yuta Kawakami, Longbiao Wang, Seiichi Nakagawa, Xiong Xiao, Masahiro Iwahashi

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

2015

Relative phase information for detecting human speech and spoofed speech.

Longbiao Wang, Yohei Yoshida, Yuta Kawakami, Seiichi Nakagawa

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

2014

Speaker Identification by Combining Various Vocal Tract and Vocal Source Features.

Yuta Kawakami, Longbiao Wang, Atsuhiko Kai, Seiichi Nakagawa

Proceedings of the Text, Speech and Dialogue - 17th International Conference, 2014

2013

Speaker identification using pseudo pitch synchronized phase information in noisy environments.

Yuta Kawakami, Longbiao Wang, Seiichi Nakagawa

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013