| SNIPER: Few-shot learning for anomaly detection to minimize false-negative rate with ensured true-positive rate Y Koizumi, S Murata, N Harada, S Saito, H Uematsu ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 32 | 2019 |
| Batch Uniformization for Minimizing Maximum Anomaly Score of DNN-based Anomaly Detection in Sounds Y Koizumi, S Saito, M Yamaguchi, S Murata, N Harada 2019 IEEE Workshop on Applications of Signal Processing to Audio and …, 2019 | 20 | 2019 |
| SPIDERnet: Attention Network For One-Shot Anomaly Detection In Sounds Y Koizumi, M Yasuda, S Murata, S Saito, H Uematsu, N Harada ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 19 | 2020 |
| Maximum tsunami height prediction using pressure gauge data by a Gaussian process at Owase in the Kii Peninsula, Japan Y Igarashi, T Hori, S Murata, K Sato, T Baba, M Okada Marine Geophysical Research 37 (4), 361-370, 2016 | 16 | 2016 |
| A two-class hyper-spherical autoencoder for supervised anomaly detection Y Kawachi, Y Koizumi, S Murata, N Harada ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 12 | 2019 |
| Analysis of coherent phonon signals by sparsity-promoting dynamic mode decomposition S Murata, S Aihara, S Tokuda, K Iwamitsu, K Mizoguchi, I Akai, M Okada Journal of the Physical Society of Japan 87 (5), 054003, 2018 | 7 | 2018 |
| Gaussian markov random field model without boundary conditions S Katakami, H Sakamoto, S Murata, M Okada Journal of the Physical Society of Japan 86 (6), 064801, 2017 | 7 | 2017 |
| Extraction of latent dynamical structure from time-series spectral data S Murata, K Nagata, M Uemura, M Okada Journal of the Physical Society of Japan 85 (10), 104003, 2016 | 7 | 2016 |
| Anomalous sound detection apparatus, anomaly model learning apparatus, anomaly detection apparatus, anomalous sound detection method, anomalous sound generation apparatus … Y KOIZUMI, Y KAWACHI, N Harada, S Saito, A Nakagawa, S Murata US Patent App. 16/643,916, 2020 | 2 | 2020 |
| Normal mode analysis of a relaxation process with Bayesian inference I Sakata, Y Nagano, Y Igarashi, S Murata, K Mizoguchi, I Akai, M Okada Science and Technology of Advanced Materials, 2020 | 2 | 2020 |
| A nonlinear parametric model based on a power law relationship for predicting the coastal tsunami height M Yoshikawa, Y Igarashi, S Murata, T Baba, T Hori, M Okada Marine Geophysical Research 40 (4), 467-477, 2019 | 2 | 2019 |
| Oscillations in spurious states of the associative memory model with synaptic depression S Murata, Y Otsubo, K Nagata, M Okada Journal of the Physical Society of Japan 83 (12), 124004, 2014 | 2 | 2014 |
| Anomaly detection apparatus, anomaly detection method, and program Y Kawachi, Y Koizumi, N Harada, S Murata US Patent App. 17/260,956, 2021 | 1 | 2021 |
| Finding Low-Dimensional Dynamical Structure Through Variational Auto-Encoding Dynamic Mode Decomposition S Murata, Y Koizumi, N Harada 2019 IEEE 29th International Workshop on Machine Learning for Signal …, 2019 | | 2019 |
| 動的モード分解と Bayesian LARS-OLS によるコヒーレントフォノンの固有振動モード選択 坂田逸志， 長野祥大， 五十嵐康彦， 村田伸， 溝口幸司， 赤井一郎， ... 日本物理学会講演概要集 74.1, 1487-1487, 2019 | | 2019 |
| [ポスター講演] Bayesian LARS-OLS によるコヒーレントフォノンの固有振動モード選択 坂田逸志， 長野祥大， 五十嵐康彦， 村田伸， 溝口幸司， 赤井一郎， ... IEICE Conferences Archives, IEICE-IBISML-255-IEICE-IBISML-262, 2018 | | 2018 |
| べき乗則をもとにした津波高予測のための非線形パラメトリックモデル (情報論的学習理論と機械学習) 吉川真史， 五十嵐康彦， 村田伸， 馬場俊孝， 堀高峰， 岡田真人 電子情報通信学会技術研究報告= IEICE technical report: 信学技報 117 (293 …, 2017 | | 2017 |
| SpDMD によるコヒーレントフォノンの減衰振動モード分解 岩満一功， 相原慎吾， 溝口幸司， 五十嵐康彦， 村田伸， 岡田真人， ... 人工知能学会全国大会論文集 第 31 回全国大会 (2017), 2I21-2I21, 2017 | | 2017 |
| 境界条件を持たないマルコフ確率場モデルのハイパーパラメータ分布推定 片上舜， 坂本浩隆， 村田伸， 岡田真人 日本物理学会講演概要集 72.1, 2769-2769, 2017 | | 2017 |
| Nonlinear parametric model based on power law for tsunami height prediction M Yoshikawa, S Murata, Y Igarashi, T Baba, T Hori, M Okada | | 2017 |
Noboru HaradaNTT Communication Science LaboratoriesVerified email at ieee.org
