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• Deep-Sea Bioluminescence Blooms after Dense Water Formation at the Ocean Surface

  Tamburini, C., Canals, M., Durrieu de Madron, X., Houpert, L., Lefèvre, D., Martini, S., D'Ortenzio, F., Robert, A., Testor, P., Aguilar, J. A., Samarai, I. A., Albert, A., André, M., Anghinolfi, M., Anton, G., Anvar, S., Ardid, M., Jesus, A. C. A., Astraatmadja, T. L., Aubert, J. J. & 136 others, Baret, B., Basa, S., Bertin, V., Biagi, S., Bigi, A., Bigongiari, C., Bogazzi, C., Bou-Cabo, M., Bouhou, B., Bouwhuis, M. C., Brunner, J., Busto, J., Camarena, F., Capone, A., Cârloganu, C., Carminati, G., Carr, J., Cecchini, S., Charif, Z., Charvis, P., Chiarusi, T., Circella, M., Coniglione, R., Costantini, H., Coyle, P., Curtil, C., Decowski, P., Dekeyser, I., Deschamps, A., Donzaud, C., Dornic, D., Dorosti, H. Q., Drouhin, D., Eberl, T., Emanuele, U., Ernenwein, J. P., Escoffier, S., Fermani, P., Ferri, M., Flaminio, V., Folger, F., Fritsch, U., Fuda, J. L., Galatà, S., Gay, P., Giacomelli, G., Giordano, V., Gómez-González, J. P., Graf, K., Guillard, G., Halladjian, G., Hallewell, G., van Haren, H., Hartman, J., Heijboer, A. J., Hello, Y., Hernández-Rey, J. J., Herold, B., Hößl, J., Hsu, C. C., de Jong, M., Kadler, M., Kalekin, O., Kappes, A., Katz, U., Kavatsyuk, O., Kooijman, P., Kopper, C., Kouchner, A., Kreykenbohm, I., Kulikovskiy, V., Lahmann, R., Lamare, P., Larosa, G., Lattuada, D., Lim, G., Presti, D. L., Loehner, H., Loucatos, S., Mangano, S., Marcelin, M., Margiotta, A., Martinez-Mora, J. A., Meli, A., Montaruli, T., Moscoso, L., Motz, H., Neff, M., Nezri, E. N., Palioselitis, D., Pǎvǎlaş, G. E., Payet, K., Payre, P., Petrovic, J., Piattelli, P., Picot-Clemente, N., Popa, V., Pradier, T., Presani, E., Racca, C., Reed, C., Riccobene, G., Richardt, C., Richter, R., Rivière, C., Roensch, K., Rostovtsev, A., Ruiz-Rivas, J., Rujoiu, M., Russo, V. G., Salesa, F., Sánchez-Losa, A., Sapienza, P., Schöck, F., Schuller, J. P., Schussler, F., Shanidze, R., Simeone, F., Spies, A., Spurio, M., Steijger, J. J. M., Stolarczyk, T., Taiuti, M. G. F., Toscano, S., Vallage, B., Van Elewyck, V., Vannoni, G., Vecchi, M., Vernin, P., Wijnker, G., Wilms, J., de Wolf, E., Yepes, H., Zaborov, D., De Dios Zornoza, J. & Zúñiga, J., 2013 Jul 10, In: PloS one. 8, 7, e67523.

  Research output: Contribution to journal › Article › peer-review
  52 Citations (Scopus)

• Deep reservoir architecture for short-term residential load forecasting: An online learning scheme for edge computing

  Fujimoto, Y., Fujita, M. & Hayashi, Y., 2021 Sep 15, In: Applied Energy. 298, 117176.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• DeepRemaster: Temporal source-reference attention networks for comprehensive video enhancement

  Iizuka, S. & Simo-Serra, E., 2019 Nov, In: ACM Transactions on Graphics. 38, 6, 176.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  6 Citations (Scopus)

• Deep Reinforcement Learning based Smart Mitigation of DDoS Flooding in Software-Defined Networks

  Liu, Y., Dong, M., Ota, K., Li, J. & Wu, J., 2018 Oct 29, 2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2018. Institute of Electrical and Electronics Engineers Inc., 8514971. (IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD; vol. 2018-September).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  10 Citations (Scopus)

• Deep-Reinforcement-Learning-Based Cybertwin Architecture for 6G IIoT: An Integrated Design of Control, Communication, and Computing

  Xu, H., Wu, J., Li, J. & Lin, X., 2021 Nov 15, In: IEEE Internet of Things Journal. 8, 22, p. 16337-16348 12 p.

  Research output: Contribution to journal › Article › peer-review

• Deep-red-emitting electrochemical cells based on heteroleptic bis-chelated ruthenium(II) complexes

  Bolink, H. J., Coronado, E., Costa, R. D., Gaviña, P., Ortí, E. & Tatay, S., 2009 May 4, In: Inorganic Chemistry. 48, 9, p. 3907-3909 3 p.

  Research output: Contribution to journal › Article › peer-review
  54 Citations (Scopus)

• Deep recurrent de-noising auto-encoder and blind de-reverberation for reverberated speech recognition

  Weninger, F., Watanabe, S., Tachioka, Y. & Schuller, B., 2014, 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014. Institute of Electrical and Electronics Engineers Inc., p. 4623-4627 5 p. 6854478. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  64 Citations (Scopus)

• Deep Protein Subcellular Localization Predictor Enhanced with Transfer Learning of GO Annotation

  Yuan, X., Pang, E., Lin, K. & Hu, J., 2021 Apr, In: IEEJ Transactions on Electrical and Electronic Engineering. 16, 4, p. 559-567 9 p.

  Research output: Contribution to journal › Article › peer-review
  1 Citation (Scopus)

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

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

  Research output: Contribution to journal › Article › peer-review
  30 Citations (Scopus)

• Deep Pedestrian Distance Estimation from Single-shot Image

  Murayama, K., Kanai, K., Takeuchi, M. & Katto, J., 2020 Oct 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).

  Research output: Chapter in Book/Report/Conference proceeding › 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).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  25 Citations (Scopus)

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

  Li, M. & Kamata, S. I., 2019 Feb 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).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (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.

  Research output: Contribution to journal › Conference article › peer-review

• Deep Neural Network Pruning Using Persistent Homology

  Watanabe, S. & Yamana, H., 2020 Dec, 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).

  Research output: Chapter in Book/Report/Conference proceeding › 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.

  Research output: Contribution to journal › Article › peer-review

• Deep Neural Architectures for Joint Named Entity Recognition and Disambiguation

  Wang, Q. & Iwaihara, M., 2019 Apr 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).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  6 Citations (Scopus)

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

  Yu, M. & Kamata, S. I., 2019 Feb 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).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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

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

  Research output: Contribution to journal › Article › peer-review
  39 Citations (Scopus)

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

  Meng, Z., Watanabe, S., Hershey, J. R. & Erdogan, H., 2017 Jun 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).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  49 Citations (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.

  Research output: Contribution to journal › Article › peer-review
  19 Citations (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 Apr 15, In: Japanese Journal of Applied Physics, Part 2: Letters. 40, 4 B, p. L404-L406

  Research output: Contribution to journal › Article › peer-review
  18 Citations (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 Dec 1, In: Journal of Applied Physics. 66, 8, p. 3656-3660 5 p.

  Research output: Contribution to journal › Article › peer-review
  20 Citations (Scopus)

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

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

  Research output: Contribution to journal › Article › peer-review

• 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 Jul, In: IEEE Internet of Things Journal. 7, 7, p. 6429-6438 10 p., 9055403.

  Research output: Contribution to journal › Article › peer-review
  71 Citations (Scopus)

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

  Ding, F., Zhu, G., Alazab, M., Li, X. & Yu, K., 2020, (Accepted/In press) IEEE Consumer Electronics Magazine.

  Research output: Contribution to specialist publication › Article
  5 Citations (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 Jun, In: IEEE Wireless Communications. 28, 3, p. 54-61 8 p., 9490590.

  Research output: Contribution to journal › Article › peer-review
  16 Citations (Scopus)

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

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

  Research output: Contribution to journal › Article › peer-review

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

  Guo, Z., Yu, K., Li, Y., Srivastava, G. & Lin, J. C. W., 2021, (Accepted/In press) In: IEEE Transactions on Network Science and Engineering.

  Research output: Contribution to journal › Article › peer-review
  22 Citations (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.

  Research output: Contribution to journal › Article › peer-review
  37 Citations (Scopus)

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

  Shirasaki, S., Kanai, K. & Katto, J., 2021 Jan 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).

  Research output: Chapter in Book/Report/Conference proceeding › 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 Apr, 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).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• 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 Aug, 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).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• 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 Apr 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).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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

  Kojima, K., Shimbo, Y., Suganuma, H. & Maehara, F., 2020 Feb, 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).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)

• DeepIS: Susceptibility Estimation on Social Networks

  Xia, W., Li, Y., Wu, J. & Li, S., 2021 Aug 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).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)

• Deep Inverse Tone Mapping Optimized for High Dynamic Range Display

  Hirao, K., Cheng, Z., Takeuchi, M. & Katto, J., 2018 Nov 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

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)

• Deep hole traps in VPE p-type InP

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

  Research output: Contribution to journal › Article › peer-review
  6 Citations (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 Oct 8, In: Applied Physics Letters. 113, 15, 151901.

  Research output: Contribution to journal › Article › peer-review
  8 Citations (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 Jan, 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).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Citations (Scopus)

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

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

  Research output: Contribution to journal › Article › peer-review

  Open Access
  5 Citations (Scopus)

• Deep Griffin-Lim Iteration

  Masuyama, Y., Yatabe, K., Koizumi, Y., Oikawa, Y. & Harada, N., 2019 May, 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).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  25 Citations (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 Apr, In: Future Generation Computer Systems. 117, p. 205-218 14 p.

  Research output: Contribution to journal › Article › peer-review
  9 Citations (Scopus)

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

  Qiu, F., Kamata, S. I. & Ma, L., 2018 Dec 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).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (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 Aug 1, In: IEEE Transactions on Dielectrics and Electrical Insulation. 22, 4, p. 2349-2358 10 p., 7179199.

  Research output: Contribution to journal › Article › peer-review
  11 Citations (Scopus)

• Deep Convolutional AutoEncoder-based Lossy Image Compression

  Cheng, Z., Sun, H., Takeuchi, M. & Katto, J., 2018 Sep 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).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  39 Citations (Scopus)

• Deep clustering: Discriminative embeddings for segmentation and separation

  Hershey, J. R., Chen, Z., Le Roux, J. & Watanabe, S., 2016 May 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

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  596 Citations (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

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (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 May 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).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  99 Citations (Scopus)

• Deep 3D pose dictionary: 3D human pose estimation from single RGB image using deep convolutional neural network

  Elbasiony, R., Gomaa, W. & Ogata, T., 2018, Artificial Neural Networks and Machine Learning – ICANN 2018 - 27th International Conference on Artificial Neural Networks, 2018, Proceedings. Manolopoulos, Y., Hammer, B., Kurkova, V., Iliadis, L. & Maglogiannis, I. (eds.). Springer Verlag, p. 310-320 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11141 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Deep 3D Object Detection Networks Using LiDAR Data: A Review

  Wu, Y., Wang, Y., Zhang, S. & Ogai, H., 2021 Jan 15, In: IEEE Sensors Journal. 21, 2, p. 1152-1171 20 p., 9181591.

  Research output: Contribution to journal › Review article › peer-review
  10 Citations (Scopus)