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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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last updated on 2024-10-07 21:22 CEST by the dblp team
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