Improved DoA estimation with application to bearings-only acoustic source localization. - Juliano G. C. Ribeiro; Felipe G. Serrenho; José Antonio Apolinário; Antonio L. L. Ramos (ISSPIT, 2017)

Kernel interpolation of acoustic transfer function between regions considering reciprocity. - Juliano G. C. Ribeiro; Natsuki Ueno; Shoichi Koyama; Hiroshi Saruwatari (SAM, 2020)

Kernel Learning for Sound Field Estimation with L1 and L2 Regularizations. - Ryosuke Horiuchi; Shoichi Koyama; Juliano G. C. Ribeiro; Natsuki Ueno; Hiroshi Saruwatari (WASPAA, 2021)

Region-to-Region Kernel Interpolation of Acoustic Transfer Function with Directional Weighting. - Juliano G. C. Ribeiro; Shoichi Koyama; Hiroshi Saruwatari (ICASSP, 2022)

Region-to-Region Kernel Interpolation of Acoustic Transfer Functions Constrained by Physical Properties. - Juliano G. C. Ribeiro; Natsuki Ueno; Shoichi Koyama; Hiroshi Saruwatari (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Kernel Interpolation of Acoustic Transfer Functions with Adaptive Kernel for Directed and Residual Reverberations. - Juliano G. C. Ribeiro; Shoichi Koyama; Hiroshi Saruwatari (ICASSP, 2023)

Kernel Interpolation of Incident Sound Field in Region Including Scattering Objects. - Shoichi Koyama; Masaki Nakada; Juliano G. C. Ribeiro; Hiroshi Saruwatari (WASPAA, 2023)

Physics-Informed Machine Learning For Sound Field Estimation. - Shoichi Koyama; Juliano G. C. Ribeiro; Tomohiko Nakamura; Natsuki Ueno; Mirco Pezzoli (CoRR, 2024)

Sound Field Estimation Based on Physics-Constrained Kernel Interpolation Adapted to Environment. - Juliano G. C. Ribeiro; Shoichi Koyama; Ryosuke Horiuchi; Hiroshi Saruwatari (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Physics-Informed Machine Learning for Sound Field Estimation: Fundamentals, state of the art, and challenges [Special Issue On Model-Based and Data-Driven Audio Signal Processing]. - Shoichi Koyama; Juliano G. C. Ribeiro; Tomohiko Nakamura; Natsuki Ueno; Mirco Pezzoli (IEEE Signal Process. Mag., 2024)

Physics-constrained adaptive kernel interpolation for region-to-region acoustic transfer function: a Bayesian approach. - Juliano G. C. Ribeiro; Shoichi Koyama; Hiroshi Saruwatari (EURASIP J. Audio Speech Music. Process., 2024)