研究成果を検索

検索結果

• DeepProp: Extracting deep features from a single image for edit propagation

  Endo, Y., Iizuka, S., Kanamori, Y. & Mitani, J., 2016 5月 1, In: Computer Graphics Forum. 35, 2, p. 189-201 13 p.

  研究成果: Article › 査読
  39 被引用数 (Scopus)

• Deep Pedestrian Distance Estimation from Single-shot Image

  Murayama, K., Kanai, K., Takeuchi, M. & Katto, J., 2020 10月 13, 2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020. Institute of Electrical and Electronics Engineers Inc., p. 276-277 2 p. 9291915. (2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020).

  研究成果: Conference contribution
  1 被引用数 (Scopus)

• DEEP PEDESTRIAN DENSITY ESTIMATION FOR SMART CITY MONITORING

  Murayama, K., Kanai, K., Takeuchi, M., Sun, H. & Katto, J., 2021, 2021 IEEE International Conference on Image Processing, ICIP 2021 - Proceedings. IEEE Computer Society, p. 230-234 5 p. (Proceedings - International Conference on Image Processing, ICIP; vol. 2021-September).

  研究成果: Conference contribution

• Deep packet inspection based application-aware traffic control for software defined networks

  Li, G., Dong, M., Ota, K., Wu, J., Li, J. & Ye, T., 2016, 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 7841721. (2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings).

  研究成果: Conference contribution
  31 被引用数 (Scopus)

• Deep neural networks with mixture of experts layers for complex event recognition from images

  Li, M. & Kamata, S. I., 2019 2月 12, 2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018. Institute of Electrical and Electronics Engineers Inc., p. 410-415 6 p. 8641027. (2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018).

  研究成果: Conference contribution
  2 被引用数 (Scopus)

• Deep neural networks with flexible complexity while training based on neural ordinary differential equations

  Luo, Z., Kamata, S. I., Sun, Z. & Zhou, W., 2021, In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2021-June, p. 1690-1694 5 p.

  研究成果: Conference article › 査読

• Deep Neural Network Pruning Using Persistent Homology

  Watanabe, S. & Yamana, H., 2020 12月, Proceedings - 2020 IEEE 3rd International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2020. Institute of Electrical and Electronics Engineers Inc., p. 153-156 4 p. 9355454. (Proceedings - 2020 IEEE 3rd International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2020).

  研究成果: Conference contribution
  3 被引用数 (Scopus)

• Deep-Neural-Network-based Process Data Simulation Model for Production Well of a Geothermal Power Plant

  Imagawa, A., Yoshida, A. & Amano, Y., 2021, ECOS 2021 - 34th International Conference on Efficency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems. ECOS 2021 Program Organizer, p. 531-542 12 p. (ECOS 2021 - 34th International Conference on Efficency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems).

  研究成果: Conference contribution

• Deep Neural Backdoor in Semi-Supervised Learning: Threats and Countermeasures

  Yan, Z., Wu, J., Li, G., Li, S. & Guizani, M., 2021, In: IEEE Transactions on Information Forensics and Security. 16, p. 4827-4842 16 p.

  研究成果: Article › 査読
  5 被引用数 (Scopus)

• Deep Neural Architectures for Joint Named Entity Recognition and Disambiguation

  Wang, Q. & Iwaihara, M., 2019 4月 1, 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8679233. (2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings).

  研究成果: Conference contribution
  12 被引用数 (Scopus)

• Deep metric learning with online hard and soft selection for person re-identification

  Yu, M. & Kamata, S. I., 2019 2月 12, 2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018. Institute of Electrical and Electronics Engineers Inc., p. 426-431 6 p. 8641037. (2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018).

  研究成果: Conference contribution

• DeepM6ASeq: Prediction and characterization of m6A-containing sequences using deep learning

  Zhang, Y. & Hamada, M., 2018 12月 31, In: BMC Bioinformatics. 19, 524.

  研究成果: Article › 査読

  Open Access
  64 被引用数 (Scopus)

• Deep long short-term memory adaptive beamforming networks for multichannel robust speech recognition

  Meng, Z., Watanabe, S., Hershey, J. R. & Erdogan, H., 2017 6月 16, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 271-275 5 p. 7952160. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

  研究成果: Conference contribution
  61 被引用数 (Scopus)

• Deep level transient spectroscopy of interface and bulk trap states in InP metal/oxide/semiconductor structures

  Inuishi, M. & Wessels, B. W., 1983, In: Thin Solid Films. 103, 1-3, p. 141-153 13 p.

  研究成果: Article › 査読
  20 被引用数 (Scopus)

• Deep level transient spectroscopy analysis of an anatase epitaxial film grown by metal organic chemical vapor deposition

  Miyagi, T., Ogawa, T., Kamei, M., Wada, Y., Mitsuhashi, T., Yamazaki, A., Ohta, E. & Sato, T., 2001 4月 15, In: Japanese Journal of Applied Physics, Part 2: Letters. 40, 4 B, p. L404-L406

  研究成果: Article › 査読
  18 被引用数 (Scopus)

• Deep levels in Ga-doped ZnSe grown by molecular-beam epitaxy

  Venkatesan, S., Pierret, R. F., Qiu, J., Kobayashi, M., Gunshor, R. L. & Kolodziejski, L. A., 1989 12月 1, In: Journal of Applied Physics. 66, 8, p. 3656-3660 5 p.

  研究成果: Article › 査読
  20 被引用数 (Scopus)

• Deep learning with data augmentation to add data around classification boundaries

  Fujinami, H., Kumoi, G. & Goto, M., 2021 9月, In: Industrial Engineering and Management Systems. 20, 3, p. 384-397 14 p.

  研究成果: Article › 査読

• Deep Learning of the Eddington Tensor in Core-collapse Supernova Simulation

  Harada, A., Nishikawa, S. & Yamada, S., 2022 2月 1, In: Astrophysical Journal. 925, 2, 117.

  研究成果: Article › 査読

  Open Access
  1 被引用数 (Scopus)

• Deep-Learning-Enhanced Human Activity Recognition for Internet of Healthcare Things

  Zhou, X., Liang, W., Wang, K. I. K., Wang, H., Yang, L. T. & Jin, Q., 2020 7月, In: IEEE Internet of Things Journal. 7, 7, p. 6429-6438 10 p., 9055403.

  研究成果: Article › 査読
  167 被引用数 (Scopus)

• Deep-Learning-Empowered Digital Forensics for Edge Consumer Electronics in 5G HetNets

  DIng, F., Zhu, G., Alazab, M., Li, X. & Yu, K., 2022 3月 1, IEEE Consumer Electronics Magazine, 11, 2, p. 42-50 9 p.

  研究成果: Article
  59 被引用数 (Scopus)

• Deep-Learning-Empowered Breast Cancer Auxiliary Diagnosis for 5GB Remote E-Health

  Yu, K., Tan, L., Lin, L., Cheng, X., Yi, Z. & Sato, T., 2021 6月, In: IEEE Wireless Communications. 28, 3, p. 54-61 8 p., 9490590.

  研究成果: Article › 査読
  139 被引用数 (Scopus)

• Deep-learning-empowered 3D reconstruction for dehazed images in IoT-Enhanced smart cities

  Zhang, J., Qi, X., Myint, S. H. & Wen, Z., 2021 4月 13, In: Computers, Materials and Continua. 68, 2, p. 2807-2824 18 p.

  研究成果: Article › 査読

  Open Access
  6 被引用数 (Scopus)

• Deep Learning-Embedded Social Internet of Things for Ambiguity-Aware Social Recommendations

  Guo, Z., Yu, K., Li, Y., Srivastava, G. & Lin, J. C. W., 2022, In: IEEE Transactions on Network Science and Engineering. 9, 3, p. 1067-1081 15 p.

  研究成果: Article › 査読
  57 被引用数 (Scopus)

• Deep Learning-Based Traffic Safety Solution for a Mixture of Autonomous and Manual Vehicles in a 5G-Enabled Intelligent Transportation System

  Yu, K., Lin, L., Alazab, M., Tan, L. & Gu, B., 2020, (Accepted/In press) In: IEEE Transactions on Intelligent Transportation Systems.

  研究成果: Article › 査読
  87 被引用数 (Scopus)

• Deep Learning-based R-R Interval Estimation by Using Smartphone Sensors during Exercise

  Shirasaki, S., Kanai, K. & Katto, J., 2021 1月 10, 2021 IEEE International Conference on Consumer Electronics, ICCE 2021. Institute of Electrical and Electronics Engineers Inc., 9427634. (Digest of Technical Papers - IEEE International Conference on Consumer Electronics; vol. 2021-January).

  研究成果: Conference contribution

• Deep Learning Based Resource Allocation Method to Control System Capacity and Fairness for MU-MIMO THP

  Shimbo, Y., Suganuma, H., Tomeba, H., Onodera, T. & Maehara, F., 2021 4月, 2021 IEEE 93rd Vehicular Technology Conference, VTC 2021-Spring - Proceedings. Institute of Electrical and Electronics Engineers Inc., 9449018. (IEEE Vehicular Technology Conference; vol. 2021-April).

  研究成果: Conference contribution

• Deep Learning Based One-Class Detection System for Fake Faces Generated by GAN Network

  Li, S., Dutta, V., He, X. & Matsumaru, T., 2022 10月, In: Sensors. 22, 20, 7767.

  研究成果: Article › 査読

  Open Access

• Deep learning based multi-source localization with source splitting and its effectiveness in multi-talker speech recognition

  Subramanian, A. S., Weng, C., Watanabe, S., Yu, M. & Yu, D., 2022 9月, In: Computer Speech and Language. 75, 101360.

  研究成果: Article › 査読
  9 被引用数 (Scopus)

• Deep Learning-based Management for Wastewater Treatment Plants under Blockchain Environment

  Wan, K., Guo, Z., Wang, J., Zeng, W., Gao, X., Shen, Y. & Yu, K., 2020 8月, 2020 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2020. Institute of Electrical and Electronics Engineers Inc., p. 106-110 5 p. 9209927. (2020 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2020).

  研究成果: Conference contribution
  1 被引用数 (Scopus)

• Deep learning-based in vivo dose verification from proton-induced secondary-electron-bremsstrahlung images with various count level

  Yabe, T., Yamaguchi, M., Liu, C. C., Toshito, T., Kawachi, N. & Yamamoto, S., 2022 7月, In: Physica Medica. 99, p. 130-139 10 p.

  研究成果: Article › 査読

  Open Access
  3 被引用数 (Scopus)

• Deep Learning Based Hybrid Multiple Access Consisting of SCMA and OFDMA Using User Position Information

  Kumagai, Y., Gonda, N., Shimbo, Y., Suganuma, H. & Maehara, F., 2021 4月 13, 3rd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2021. Institute of Electrical and Electronics Engineers Inc., p. 10-13 4 p. 9415180. (3rd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2021).

  研究成果: Conference contribution

• Deep Learning Based Concealed Object Recognition in Active Millimeter Wave Imaging

  Myint, S. H., Katsuyama, Y., Sato, T., Qi, X., Tamesue, K., Wen, Z., Yu, K., Tokuda, K. & Sato, T., 2021, 2021 IEEE Asia-Pacific Microwave Conference, APMC 2021. Institute of Electrical and Electronics Engineers Inc., p. 434-436 3 p. (Asia-Pacific Microwave Conference Proceedings, APMC; vol. 2021-November).

  研究成果: Conference contribution
  1 被引用数 (Scopus)

• Deep Learning Based CoMP Transmission Method Using Vehicle Position Information for Taxi Radio Systems

  Kojima, K., Shimbo, Y., Suganuma, H. & Maehara, F., 2020 2月, 2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020. Institute of Electrical and Electronics Engineers Inc., p. 253-256 4 p. 9065193. (2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020).

  研究成果: Conference contribution
  3 被引用数 (Scopus)

• DeepIS: Susceptibility Estimation on Social Networks

  Xia, W., Li, Y., Wu, J. & Li, S., 2021 8月 3, WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 761-769 9 p. (WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining).

  研究成果: Conference contribution
  6 被引用数 (Scopus)

• Deep Inverse Tone Mapping Optimized for High Dynamic Range Display

  Hirao, K., Cheng, Z., Takeuchi, M. & Katto, J., 2018 11月 16, 9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018. Institute of Electrical and Electronics Engineers Inc., p. 472-474 3 p. 8539648

  研究成果: Conference contribution
  1 被引用数 (Scopus)

• Deep image compression based on multi-scale deformable convolution

  Li, D., Li, Y., Sun, H. & Yu, L., 2022 8月, In: Journal of Visual Communication and Image Representation. 87, 103573.

  研究成果: Article › 査読
  1 被引用数 (Scopus)

• Deep hole traps in VPE p-type InP

  Inuishi, M. & Wessels, B. W., 1981 9月 17, In: Electronics Letters. 17, 19, p. 685-686 2 p.

  研究成果: Article › 査読
  6 被引用数 (Scopus)

• Deep-hole drilling of amorphous silica glass by extreme ultraviolet femtosecond pulses

  Shibuya, T., Takahashi, T., Sakaue, K., Dinh, T. H., Hara, H., Higashiguchi, T., Ishino, M., Koshiba, Y., Nishikino, M., Ogawa, H., Tanaka, M., Washio, M., Kobayashi, Y. & Kuroda, R., 2018 10月 8, In: Applied Physics Letters. 113, 15, 151901.

  研究成果: Article › 査読
  12 被引用数 (Scopus)

• Deep GRU-ensembles for active tactile texture recognition with soft, distributed skin sensors in dynamic contact scenarios

  Geier, A., Yan, G., Tomo, T. P., Somlor, S. & Sugano, S., 2020 1月, Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, SII 2020. Institute of Electrical and Electronics Engineers Inc., p. 127-132 6 p. 9025993. (Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, SII 2020).

  研究成果: Conference contribution
  2 被引用数 (Scopus)

• Deep Griffin-Lim Iteration: Trainable Iterative Phase Reconstruction Using Neural Network

  Masuyama, Y., Yatabe, K., Koizumi, Y., Oikawa, Y. & Harada, N., 2021 1月, In: IEEE Journal on Selected Topics in Signal Processing. 15, 1, p. 37-50 14 p., 9242279.

  研究成果: Article › 査読

  Open Access
  10 被引用数 (Scopus)

• Deep Griffin-Lim Iteration

  Masuyama, Y., Yatabe, K., Koizumi, Y., Oikawa, Y. & Harada, N., 2019 5月, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 61-65 5 p. 8682744. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

  研究成果: Conference contribution
  35 被引用数 (Scopus)

• Deep Graph neural network-based spammer detection under the perspective of heterogeneous cyberspace

  Guo, Z., Tang, L., Guo, T., Yu, K., Alazab, M. & Shalaginov, A., 2021 4月, In: Future Generation Computer Systems. 117, p. 205-218 14 p.

  研究成果: Article › 査読
  49 被引用数 (Scopus)

• Deep face recognition under eyeglass and scale variation using extended siamese network

  Qiu, F., Kamata, S. I. & Ma, L., 2018 12月 13, Proceedings - 4th Asian Conference on Pattern Recognition, ACPR 2017. Institute of Electrical and Electronics Engineers Inc., p. 471-476 6 p. 8575869. (Proceedings - 4th Asian Conference on Pattern Recognition, ACPR 2017).

  研究成果: Conference contribution
  1 被引用数 (Scopus)

• Deep dielectric charging characteristics of ring structure irradiated by energetic electrons

  Li, G., Li, S., Min, D., Zheng, X., Yang, S., Tang, D., Shi, L. & Zhao, C., 2015 8月 1, In: IEEE Transactions on Dielectrics and Electrical Insulation. 22, 4, p. 2349-2358 10 p., 7179199.

  研究成果: Article › 査読
  14 被引用数 (Scopus)

• Deep cross-project software reliability growth model using project similarity-based clustering

  San, K. K., Washizaki, H., Fukazawa, Y., Honda, K., Taga, M. & Matsuzaki, A., 2021 11月 1, In: Mathematics. 9, 22, 2945.

  研究成果: Article › 査読

  Open Access
  1 被引用数 (Scopus)

• Deep Convolutional AutoEncoder-based Lossy Image Compression

  Cheng, Z., Sun, H., Takeuchi, M. & Katto, J., 2018 9月 5, 2018 Picture Coding Symposium, PCS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 253-257 5 p. 8456308. (2018 Picture Coding Symposium, PCS 2018 - Proceedings).

  研究成果: Conference contribution
  75 被引用数 (Scopus)

• Deep clustering: Discriminative embeddings for segmentation and separation

  Hershey, J. R., Chen, Z., Le Roux, J. & Watanabe, S., 2016 5月 18, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2016-May. p. 31-35 5 p. 7471631

  研究成果: Conference contribution
  814 被引用数 (Scopus)

• Deep-blue light emission with a wide-bandgap naphthalene-derivative liquid organic semiconductor host

  Kobayashi, N., Kuwae, H., Oshima, J., Ishimatsu, R., Tashiro, S., Imato, T., Adachi, C., Shoji, S. & Mizuno, J., 2017, Organic Photonic Materials and Devices XIX 2017. SPIE, Vol. 10101. 101011B

  研究成果: Conference contribution
  2 被引用数 (Scopus)

• Deep beamforming networks for multi-channel speech recognition

  Xiao, X., Watanabe, S., Erdogan, H., Lu, L., Hershey, J., Seltzer, M. L., Chen, G., Zhang, Y., Mandel, M. & Yu, D., 2016 5月 18, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 5745-5749 5 p. 7472778. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2016-May).

  研究成果: Conference contribution
  124 被引用数 (Scopus)

• Deep Active Visual Attention for Real-Time Robot Motion Generation: Emergence of Tool-Body Assimilation and Adaptive Tool-Use

  Hiruma, H., Ito, H., Mori, H. & Ogata, T., 2022 7月 1, In: IEEE Robotics and Automation Letters. 7, 3, p. 8550-8557 8 p.

  研究成果: Article › 査読