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Takashi Endo
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2020 – today
- 2024
- [i15]Tomoya Nishida, Noboru Harada, Daisuke Niizumi, Davide Albertini, Roberto Sannino, Simone Pradolini, Filippo Augusti, Keisuke Imoto, Kota Dohi, Harsh Purohit, Takashi Endo, Yohei Kawaguchi:
Description and Discussion on DCASE 2024 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring. CoRR abs/2406.07250 (2024) - 2023
- [c30]Tomoya Nishida, Takashi Endo, Yohei Kawaguchi:
Zero-Shot Domain Adaptation of Anomalous Samples for Semi-Supervised Anomaly Detection. ICASSP 2023: 1-5 - [i14]Tomoya Nishida, Takashi Endo, Yohei Kawaguchi:
Zero-shot domain adaptation of anomalous samples for semi-supervised anomaly detection. CoRR abs/2304.02221 (2023) - [i13]Kota Dohi, Keisuke Imoto, Noboru Harada
, Daisuke Niizumi, Yuma Koizumi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Yohei Kawaguchi:
Description and Discussion on DCASE 2023 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring. CoRR abs/2305.07828 (2023) - 2022
- [c29]Saoriko Koyama, Yushi Tsuji, Ryuta Masuda, Hikaru Onoda, Hayate Ono, Madoka Natsuyama, Takashi Endo, Kazuki Iwasa, Shuichiro Yamamoto:
A Technique to Integrate Service Business Models with ArchiMate. CENTERIS/ProjMAN/HCist 2022: 479-485 - [c28]Kota Dohi, Keisuke Imoto, Noboru Harada, Daisuke Niizumi, Yuma Koizumi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi:
Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques. DCASE 2022 - [c27]Kota Dohi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Masaaki Yamamoto, Yuki Nikaido, Yohei Kawaguchi:
MIMII DG: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection for Domain Ggeneralization Task. DCASE 2022 - [c26]Tomoya Nishida, Kota Dohi, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi:
Anomalous Sound Detection Based on Machine Activity Detection. EUSIPCO 2022: 269-273 - [c25]Harsh Purohit, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi:
Hierarchical Conditional Variational Autoencoder Based Acoustic Anomaly Detection. EUSIPCO 2022: 274-278 - [c24]Kota Dohi, Takashi Endo, Yohei Kawaguchi:
Disentangling physical parameters for anomalous sound detection under domain shifts. EUSIPCO 2022: 279-283 - [i12]Tomoya Nishida, Kota Dohi, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi:
Anomalous Sound Detection Based on Machine Activity Detection. CoRR abs/2204.07353 (2022) - [i11]Kota Dohi, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Masaaki Yamamoto, Yuki Nikaido, Yohei Kawaguchi:
MIMII DG: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection for Domain Generalization Task. CoRR abs/2205.13879 (2022) - [i10]Harsh Purohit, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi:
Hierarchical Conditional Variational Autoencoder Based Acoustic Anomaly Detection. CoRR abs/2206.05460 (2022) - [i9]Kota Dohi, Keisuke Imoto, Noboru Harada
, Daisuke Niizumi, Yuma Koizumi, Tomoya Nishida, Harsh Purohit, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi:
Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques. CoRR abs/2206.05876 (2022) - 2021
- [c23]Yohei Kawaguchi, Keisuke Imoto, Yuma Koizumi, Noboru Harada, Daisuke Niizumi, Kota Dohi, Ryo Tanabe, Harsh Purohit, Takashi Endo:
Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Detection for Machine Condition Monitoring Under Domain Shifted Conditions. DCASE 2021: 186-190 - [c22]Kota Dohi, Takashi Endo, Harsh Purohit, Ryo Tanabe, Yohei Kawaguchi:
Flow-Based Self-Supervised Density Estimation for Anomalous Sound Detection. ICASSP 2021: 336-340 - [c21]Ryo Tanabe, Harsh Purohit, Kota Dohi, Takashi Endo, Yuki Nikaido, Toshiki Nakamura, Yohei Kawaguchi:
MIMII Due: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection with Domain Shifts Due to Changes in Operational and Environmental Conditions. WASPAA 2021: 21-25 - [i8]Kota Dohi, Takashi Endo, Harsh Purohit, Ryo Tanabe, Yohei Kawaguchi:
Flow-based Self-supervised Density Estimation for Anomalous Sound Detection. CoRR abs/2103.08801 (2021) - [i7]Ryo Tanabe, Harsh Purohit, Kota Dohi, Takashi Endo, Yuki Nikaido, Toshiki Nakamura, Yohei Kawaguchi:
MIMII DUE: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection with Domain Shifts due to Changes in Operational and Environmental Conditions. CoRR abs/2105.02702 (2021) - [i6]Yohei Kawaguchi, Keisuke Imoto, Yuma Koizumi, Noboru Harada, Daisuke Niizumi, Kota Dohi, Ryo Tanabe, Harsh Purohit, Takashi Endo:
Description and Discussion on DCASE 2021 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring under Domain Shifted Conditions. CoRR abs/2106.04492 (2021) - [i5]Kota Dohi, Takashi Endo, Yohei Kawaguchi:
Disentangling Physical Parameters for Anomalous Sound Detection Under Domain Shifts. CoRR abs/2111.06539 (2021) - 2020
- [c20]Yuma Koizumi, Yohei Kawaguchi, Keisuke Imoto, Toshiki Nakamura, Yuki Nikaido, Ryo Tanabe, Harsh Purohit, Kaori Suefusa, Takashi Endo, Masahiro Yasuda, Noboru Harada:
Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring. DCASE 2020: 81-85 - [c19]Harsh Purohit, Ryo Tanabe, Takashi Endo, Kaori Suefusa, Yuki Nikaido, Yohei Kawaguchi:
Deep Autoencoding GMM-Based Unsupervised Anomaly Detection in Acoustic Signals and its Hyper-Parameter Optimization. DCASE 2020: 175-179 - [c18]Kaori Suefusa, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Yohei Kawaguchi:
Anomalous Sound Detection Based on Interpolation Deep Neural Network. ICASSP 2020: 271-275 - [i4]Kaori Suefusa, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Yohei Kawaguchi:
Anomalous sound detection based on interpolation deep neural network. CoRR abs/2005.09234 (2020) - [i3]Yuma Koizumi, Yohei Kawaguchi, Keisuke Imoto, Toshiki Nakamura, Yuki Nikaido, Ryo Tanabe, Harsh Purohit, Kaori Suefusa, Takashi Endo, Masahiro Yasuda, Noboru Harada:
Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring. CoRR abs/2006.05822 (2020) - [i2]Harsh Purohit, Ryo Tanabe, Takashi Endo, Kaori Suefusa, Yuki Nikaido, Yohei Kawaguchi:
Deep Autoencoding GMM-based Unsupervised Anomaly Detection in Acoustic Signals and its Hyper-parameter Optimization. CoRR abs/2009.12042 (2020)
2010 – 2019
- 2019
- [c17]Ryo Tanabe, Takashi Endo, Yuki Nikaido, Kenji Ichige, Nguyen Phong, Yohei Kawaguchi
, Koichi Hamada:
Location-Independent Multi-Channel Acoustic Scene Classification Using Blind Dereverberation, Blind Source Separation, and Model Ensemble. APSIPA 2019: 279-283 - [c16]Harsh Purohit, Ryo Tanabe, Takeshi Ichige, Takashi Endo, Yuki Nikaido, Kaori Suefusa, Yohei Kawaguchi:
MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection. DCASE 2019: 209-213 - [c15]Yohei Kawaguchi
, Ryo Tanabe, Takashi Endo, Kenji Ichige, Koichi Hamada:
Anomaly Detection Based on an Ensemble of Dereverberation and Anomalous Sound Extraction. ICASSP 2019: 865-869 - [i1]Harsh Purohit, Ryo Tanabe, Kenji Ichige, Takashi Endo, Yuki Nikaido, Kaori Suefusa, Yohei Kawaguchi
:
MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection. CoRR abs/1909.09347 (2019) - 2018
- [c14]Yohei Kawaguchi
, Takashi Endo, Kenji Ichige, Koichi Hamada:
Non-Negative Novelty Extraction: A New Non-Negativity Constraint for NMF. IWAENC 2018: 256-260 - 2017
- [c13]Yohei Kawaguchi
, Ryoichi Takashima, Takashi Endo, Masahito Togami:
Time-domain subsampling and reconstruction for microphone array. APSIPA 2017: 370-374 - [c12]Yohei Kawaguchi
, Sandra Ramaswami, Ryoichi Takashima, Takashi Endo, Rintaro Ikeshita:
Sub-Nyquist non-uniform sampling for low-cost sound monitoring. APSIPA 2017: 452-456 - [c11]Sandra Ramaswami, Yohei Kawaguchi
, Ryoichi Takashima, Takashi Endo, Masahito Togami:
ADMM-based audio reconstruction for low-cost-sound-monitoring. EUSIPCO 2017: 1260-1264 - [c10]Yohei Kawaguchi
, Takashi Endo:
How can we detect anomalies from subsampled audio signals? MLSP 2017: 1-6 - [c9]Keisuke Kasai, Masataka Nakazawa, Yasunori Tomomatsu, Takashi Endo:
Full C-band, mode-hop-free wavelength-tunable laser diode with a linewidth of 8 kHz and a RIN of -130 dB/Hz. OFC 2017: 1-3 - 2015
- [c8]Yusuke Fujita, Ryoichi Takashima, Takeshi Homma
, Rintaro Ikeshita, Yohei Kawaguchi
, Takashi Sumiyoshi, Takashi Endo, Masahito Togami:
Unified ASR system using LGM-based source separation, noise-robust feature extraction, and word hypothesis selection. ASRU 2015: 416-422 - 2012
- [c7]Camille Vuillaume, Takashi Endo, Paul Wooderson:
RSA Key Generation: New Attacks. COSADE 2012: 105-119 - 2010
- [j5]Yukiko Yamazaki, Ryo Akashi, Yutaka Banno, Takashi Endo, Hiroshi Ezura, Kaoru Fukami-Kobayashi, Kazuo Inaba, Tadashi Isa, Katsuhiko Kamei, Fumie Kasai, Masatomo Kobayashi, Nori Kurata, Makoto Kusaba, Tetsuro Matuzawa, Shohei Mitani, Taro Nakamura
, Yukio Nakamura, Norio Nakatsuji, Kiyoshi Naruse, Hironori Niki
, Eiji Nitasaka, Yuichi Obata, Hitoshi Okamoto
, Moriya Okuma, Kazuhiro Sato
, Tadao Serikawa, Toshihiko Shiroishi, Hideaki Sugawara, Hideko Urushibara, Masatoshi Yamamoto, Yoshio Yaoita, Atsushi Yoshiki
, Yuji Kohara:
NBRP databases: databases of biological resources in Japan. Nucleic Acids Res. 38(Database-Issue): 26-32 (2010)
2000 – 2009
- 2008
- [j4]Masahiro Kaminaga, Takashi Watanabe, Takashi Endo, Toshio Okochi:
Logic-Level Analysis of Fault Attacks and a Cost-Effective Countermeasure Design. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 91-A(7): 1816-1819 (2008) - 2006
- [j3]Ali Masoudi-Nejad
, Koichiro Tonomura, Shuichi Kawashima
, Yuki Moriya
, Masanori Suzuki, Masumi Itoh, Minoru Kanehisa, Takashi Endo, Susumu Goto:
EGassembler: online bioinformatics service for large-scale processing, clustering and assembling ESTs and genomic DNA fragments. Nucleic Acids Res. 34(Web-Server-Issue): 459-462 (2006) - 2005
- [j2]Takashi Endo:
The Future of High-Speed Train. IEICE Trans. Inf. Syst. 88-D(12): 2625-2629 (2005)
1990 – 1999
- 1999
- [c6]Satoshi Nakamura, Kazuo Hiyane, Futoshi Asano, Takeshi Yamada, Takashi Endo:
Data collection in real acoustical environments for sound scene understanding and hands-free speech recognition. EUROSPEECH 1999 - [c5]Shigeaki Sakurai, Takashi Endo, Ryuichi Oka:
Automatic model construction for a user oriented task using speech utterances. KES 1999: 74-77 - 1998
- [c4]Takashi Endo, Jianxin Zhang, Masayuki Nakazawa, Ryuichi Oka:
Mutual Spotting Retrieval between Speech and Video Image Using Self-Organized Network Databases. AMCP 1998: 103-118 - 1997
- [c3]Kiyoshi Furukawa, Masayuki Nakazawa, Takashi Endo, Ryuichi Oka:
Referring in long term speech by using orientation patterns obtained from vector field of spectrum pattern. EUROSPEECH 1997: 1071-1074 - [c2]Takashi Endo, Shigeki Nagaya, Masayuki Nakazawa, Kiyoshi Furukawa, Ryuichi Oka:
Speech recognition module for CSCW using a microphone array. EUROSPEECH 1997: 1527-1530 - 1994
- [j1]Yoshitaka Okada, Shoichi Kusano, Takashi Endo:
Double-contrast barium enema study with computed radiography: assessment in detection of colorectal polyps. J. Digit. Imaging 7(3): 154-159 (1994) - [c1]Takashi Endo, Shun'ichi Yajima:
New spectrum interpolation method for improving quality of synthesized speech. ICSLP 1994: 1635-1638
Coauthor Index
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