Other Publications in International Conference Proceedings

Papers where “GI-CoRE” is stated as an affiliated institution of a Japanese or overseas researcher, or those mentioning “Hokkaido University” in the acknowledgements, are marked with a “ * (asterisk)” and the applicable author name is underlined.
*i) Papers where “GI-CoRE” is stated as an affiliated institution
*ii) Papers which mention “Hokkaido University” in the acknowledgements.

Journals in English published by Japanese publishers are listed as “International Journals”.
[JP] Japanese Publishers
[OV] Overseas Publishers
[Proc] International Conference Proceedings

Collaborative papers between HU and overseas GI-CoRE members are marked with “@GI-CoRE”.

2020 – 2019201820172016
2020-2019
  1. Jie Li and Matteo Convertino, “Taming Network Inference: Optimal Transfer Entropy Model”, ICCS 2020 (International Conference on Computational Science), Amsterdam [OV][Proc]
  2. Elroy Galbraith and Matteo Convertino, “On Structure, Function and Services of Ocean Bacterioplankton”, ICCS 2020 (International Conference on Computational Science), Amsterdam [OV][Proc]
  3. Louis Chan and Matteo Convertino, “Macroecological Characterization of Syndemic Risk”, ICCS 2020 (International Conference on Computational Science), Amsterdam [OV][Proc]
  4. Kenji Hirata, Hiroyuki Iizuka, Masahito Yamamoto, “Reinforcement Learning Method with Internal World Model Training”, Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, 201–204, 2020. [OV] [Proc]
  5. Hayato Terao, Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto, “MixMatch based semi-supervised learning for video action recognition using 3D convolutional neural networks”, Proceedings of the twenty-fifth international symposium on Artificial life and Robotics, 305–310, 2020 [OV] [Proc]
  6. Hiroshi Tsutsui, Kentaro Yamada, Akihiro Sudou, Yoshikazu Miyanaga, “An Evaluation of Stack Light Indicator Color Detection System Using Web Cameras for Automatic Production Lines,” Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 1423-1426, Nov. 2019. [OV] [Proc]
  7. Riku Takanashi, Tatsuya Nakagoshi, Noboru Hayasaka, Yoshikazu Miyanaga, Hiroshi Tsutsui, “Voice Activity Detection Using Running Spectrum Analysis for Noise Robust Speech Recognition,” Proceedings of International Symposium on Multimedia and Communication Technology (ISMAC), Aug. 2019. [OV] [Proc]*i)
  8. Jiayue Tang, Yu Tian, Hiroshi Tsutsui, Yoshikazu Miyanaga, “Robust Isolated Speech Recognition for Keyword Detection System Using Hidden Markov Model,” Proceedings of International Symposium on Multimedia and Communication Technology (ISMAC), Aug. 2019. [OV] [Proc]
  9. Yu Tian, Jiayue Tang, Hiroshi Tsutsui, Yoshikazu Miyanaga, “Improvement on Children Speech Recognition under Low Signal-to-Noise Ratio Environment,” Proceedings of International Symposium on Multimedia and Communication Technology (ISMAC), Aug. 2019. [OV] [Proc]
  10. Yusaku Kaneta, Takeaki Uno and Hiroki Arimura, “Fast Identification of Heavy Hitters by Cached and Packed Group Testing”, The 26th International Symposium on String Processing and Information Retrieval, Lecture Notes in Computer Science, Springer, pp., October 2019. (Segovia, Spain, 7-9 October 2019) [OV] [Proc]
  11. Kazuhiro Kurita, Kunihiro Wasa, Takeaki Uno, Hiroki Arimura, “An Efficient Algorithm for Enumerating Chordal Bipartite Induced Subgraphs in Sparse Graphs”, Combinatorial Algorithms, the 30th International Workshop (IWOCA 2019), Lecture Notes in Computer Science, Springer, pp., July 2019. (23-25 July 2019, University of Pisa) [OV] [Proc]
  12. Kentaro Kanamori, Satoshi Hara, Masakazu Ishihata, Hiroki Arimura, “Enumeration of Distinct Support Vectors for Interactive Decision Making”, Proceedings of the 2019 ICML Workshop on Human In the Loop Learning (HILL 2019), June, 2019. (9 – 15 June 2019, Long Beach Convention Center, Long Beach, USA) [OV] [Proc]
  13. Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama: “Retrieval of similar scenes based on multimodal distance metric learning in soccer videos”2nd International ACM Workshop on Multimedia Content Analysis in Sports (ACM MMSports’19), pp.10-15(2019)
  14. Kentaro Yamamoto, Ren Togo, Takahiro Ogawa, Miki Haseyama: “Estimation of drilling energy from tunnel cutting face image based on online learning”2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019), pp.794-795(2019)
  15. An Wang, Ren Togo, Takahiro Ogawa, Miki Haseyama: “Detection of distress region from subway tunnel images via u-net-based deep semantic segmentation”2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019), pp.792-793(2019)
  16. Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama: “Voice-input multimedia information retrieval system based on text-to-image GAN”2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019), pp.967-968(2019)
  17. Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama: “Region-based distress classification of road infrastructures via CNN without region annotation”2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019), pp.790-791(2019)
  18. Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama: “A method for predicting importance of attack players based on multiple gaze tracking data in soccer videos”2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019), pp.520-521(2019)
  19. Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama: “Multimodal retrieval of similar soccer videos based on optimal combination of multiple distance measures”2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019), pp.691-692(2019)
  20. Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama: “Interest estimation for images based on eye gaze-based visual and text features”2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019), pp.490-491(2019)
  21. Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama: “Estimation of user-specific visual attention based on gaze information of similar users”2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019), pp.486-487(2019)
  22. Megumi Kotera, Ren Togo, Takahiro Ogawa, Miki Haseyama: “Aesthetic style transfer through text-to-image synthesis and image-to-image translation “2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019), pp.492-493(2019)
  23. Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama: “Effectiveness evaluation of deep features for image reconstruction from fMRI signals”2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019), pp.488-489(2019)
  24. Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama: “Semantic shot classification in baseball videos based on similarities of visual features”2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019), pp.689-690(2019)
  25. Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama: “The extraction of individual music preference based on deep time-series CCA”, 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019), pp.15-16(2019)
  26. Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama: “Estimating viewed image categories from fMRI activity via multi-view bayesian generative model”, 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019), pp.129-130(2019)
  27. Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama: “Scene retrieval using text-to-image GAN-based visual similarities and image-to-text model-based textual similarities”2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019), pp.13-14(2019)
  28. Yutaka Yamada, Takahiro Ogawa, Miki Haseyama: “Performance prediction method of examinees based on matrix completion”2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019), pp.233-234(2019)
  29. Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama: “Estimation of emotion labels via tensor-based spatiotemporal visual attention analysis”2019 IEEE International Conference on Image Processing (ICIP 2019), pp.4105-4109(2019)
  30. Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama: “Scene retrieval for video summarization based on text-to-image GAN”2019 IEEE International Conference on Image Processing (ICIP 2019), pp.1825-1829(2019)
  31. Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama: “Neural network maximizing ordinally supervised multi-view canonical correlation for deterioration level estimation”2019 IEEE International Conference on Image Processing (ICIP 2019), pp.919-923(2019)
  32. Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama: “Gastritis detection from gastric x-ray images via fine-tuning of patch-based deep convolutional neural network”2019 IEEE International Conference on Image Processing (ICIP 2019), pp.1371-1375(2019)
  33. Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama: “Synthetic image generation for gastritis detection based on auxiliary classifier generative adversarial network”IEEE International Symposium on Circuits and Systems (ISCAS 2019)(2019)
  34. Zongyao Li, Ren Togo, Takahiro Ogawa and Miki Haseyama: “Semi-supervised Learning Based on Tri-training for Gastritis Classification Using Gastric X-ray Images”2019 IEEE International Symposium on Circuits and Systems (ISCAS)(2019)
  35. Rintaro Yanagi, Ren Togo, Takahiro Ogawa and Miki Haseyama: “Scene Retrieval from Multiple Resolution Generated Images Based on Text-to-image GAN”2019 IEEE International Symposium on Circuits and Systems (ISCAS2019)(2019)
  36. Yui Matsumoto, Shota Hamano, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama: “Bilingual Lexicon Learning Using Tagged Images via Graph Trilateral Filter-based Feature Refinement”2019 IEEE International Conference on Consumer Electronics – Taiwan (ICCE-TW), pp.729-730(2019)
  37. Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama: “Convolutional Sparse Coding-based Anomalous Event Detection in Surveillance Videos”2019 IEEE International Conference on Consumer Electronics – Taiwan (ICCE-TW), pp.483—484(2019)
  38. Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama: “User-Specific Visual Attention Estimation Based on Visual Similarity and Spatial Information in Images”2019 IEEE International Conference on Consumer Electronics – Taiwan (ICCE-TW), pp.479-480(2019)
  39. Keisuke Maeda, Sho Takahashi, Takahiro Ogawa and Miki Haseyama: “Multi-feature Fusion Based on Supervised Multi-view Multi-label Canonical Correlation Projection”2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.3936-3940(2019)
  40. Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa and Miki Haseyama: “Estimating Viewed Image Categories from Human Brain Activity via Semi-supervised Fuzzy Discriminative Canonical Correlation Analysis”2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.1105-1109(2019)
  41. Ren Togo, Takahiro Ogawa, Osamu Manabe, Kenji Hirata, Tohru Shiga and Miki Haseyama: “Extraction of regions related to cardiac sarcoidosis in polar map images”, 2019 IEEE 1st Global Conrefence on Life Sciences and Technologies (LifeTech 2019), pp.237-238 (2019) *ii)
  42. Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama: “Estimation of users’ interest levels using tensor completion with SemiCCA”, 2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech2019), pp.239-340 (2019)
  43. Haruna Watanabe, Ren Togo, Takahiro Ogawa and Miki Haseyama: “Bone Metastatic Tumor Detection Based on AnoGAN Using CT Images”, IEEE Global Conference on Life Sciences and Technologies (LifeTech 2019), pp.235-236 (2019)
  44. Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa and Miki Haseyama: “Semi-supervised Discriminative CCA for Estimating Viewed Image Categories from fMRI Data”, 2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech 2019), pp.233-234 (2019)
  45. Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama: “Chronic Gastritis Detection from Gastric X-ray Images via Deep Autoencoding Gaussian Mixture Models”, 2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech2019), pp.231,232 (2019)
  46. Yuya Moroto, Keisuke Maeda, Takahiro Ogawa and Miki Haseyama: “Estimation of Visual Attention via Canonical Correlation between Visual and Gaze-based Features”, 2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech 2019), pp.229-230 (2019)
  47. Akira Toyoda, Takahiro Ogawa, Miki Haseyama: “Video Classification Based on User Preferences with Soft-bag Multiple Instance Learning”, IEEE Global Conference on Life Sciences and Technologies (LifeTech2019), pp.198-199 (2019)
  48. Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama: “Fine-tuning of pre-trained dcnn for gastritis detection from gastric x-ray images”, 2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech 2019), pp.196-197 (2019)
  49. Taiga Matsui, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, and Miki Haseyama: “Estimation of Emotions Evoked by Images Based on Multiple Gaze-based CNN Features”, IEEE Global Conference on Life Sciences and Technologies (LifeTech2019), pp.194-195 (2019)
  50. Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama: “Classification of subcellular protein patterns in human cells with transfer learning”, 2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech2019), pp.273-274 (2019)
  51. Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama: “Field Position Estimation in Soccer Videos Using Convolutional Neural Network-based Image Features”, The 2019 joint International Workshop on Advanced Image Technology & International Forum on Medical Imaging in Asia, pp.110490Y (2019)
  52. Taiga Matsui, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu and Miki Haseyama: “Gaze-based Visual Feature Extraction via DLPCCA for Visual Sentiment Estimation”, The 2019 joint International Workshop on Advanced Image Technology & International Forum on Medical Imaging in Asia, pp.110490Q (2019)
  53. Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama: “Classification of Tourism Categories Based on Heterogeneous Features Considering Existence of Reliable Results”, The 2019 joint International Workshop on Advanced Image Technology & International Forum on Medical Imaging in Asia, pp.1104905 (2019)
  54. Haruna Watanabe, Ren Togo, Takahiro Ogawa, Miki Haseyama, Koichi Yasuda, Khin Khin Tha, Kohsuke Kudo, Hiroki Shirato: “Automatic Metastatic Bone Tumor Classification with DCNN-based Features Using Treatment-planning CT Images”, The 2019 joint International Workshop on Advanced Image Technology & International Forum on Medical Imaging in Asia, pp.110501A (2019)
  55. Masaharu Yoshioka, and Shinjiro Hara, “Construction of an In-House Paper/Figure Database System Using Portable Document Format Files”. In Information Search, Integration, and Personalization: 10th International Workshop, ISIP 2018, Dimitris Kotzinos, Dominique Laurent, Nicolas Spyratos, Yuzuru Tanaka, and Rin-ichiro Taniguchi (eds), pp. 142-156, Springer-Verlag GmbH, CCIS 1040, 2019. [OV] [Proc]*i)
  56. Masaharu Yoshioka and Zihao Song, “HUKB at COLIEE 2019 Information Retrieval Task – Utilization of metadata for relevant case retrieval – “, In Proceedigns of the Sixth International Competition on Legal Information Extraction/Entailment (COLIEE 2019), pp. 33-37, 2019. [OV] [Proc]*i)
  57. A. Yamamoto, T. Nishimura, T. Ohgane, T. Tandai, D. Uchida, “Evaluation of OAM Mode Multiplexing Considering Ground Reflection,” IEEE International Conference on Communications (IEEE ICC 2019), Shanghai, China, May. 2019. [OV] [Proc]
  58. S. Nakamura, T. Nishimura, T. Ohgane, Y. Ogawa, J. Hagiwara, “Loose Beamforming by Antenna Selection in a Multiuser Massive MIMO System,” IEEE Asia Pacific Wireless Communications Symposium (IEEE APWCS 2019), SUTD, Singapore, Aug. 2019. [OV] [Proc]
  59. Kanako Yamaguchi, Masatsugi Higashinaka, Hiroyasu Sano, Atsushi Okamura, Mitsubishi Electric Corporation; Takeo Ohgane, “A Narrow-band Coherent FSK Transmission System Using Phase Rotated Transmit Diversity with Suppression of Envelope Fluctuation”, Vehicular Technology Conference (VTC2019), HONOLULU, HAWAII, Sep. 2019 [OV] [Proc]
  60. R. Li, Y. Ogawa, T. Nishimura, T. Ohgane, J. Hagiwara, “A Study on Performance Improvement by CRC-Aided GaBP for Large-Scale SCMA Detection,” Wireless Personal Multimedia Communications (WPMC 2019), LISBOA, PORTUGAL, Nov. 2019. [OV] [Proc]
  61. Y. Kase, T. Nishimura, T. Ohgane, Y. Ogawa, D. Kitayama, Y. Kishiyama, “Performance Analysis of DOA Estimation of Two Targets Using Deep Learning,” Wireless Personal Multimedia Communications (WPMC 2019), LISBOA, PORTUGAL, Nov. 2019. [OV][Proc]
  62. W. Kawabata, T. Nishimura, T. Ohgane, Y. Ogawa, “A Study on Large-Scale Signal Detection Using Gaussian Belief Propagation in Overloaded Interleave Division Multiple Access,” Wireless Personal Multimedia Communications (WPMC 2019), LISBOA, PORTUGAL, Nov. 2019. [OV] [Proc]
  63. K. Fukuda, T. Nishimura, T. Ohgane, Y. Ogawa, “A Study on Iterative Equalization with GaBP and Soft Successive Cancellation List Decoding in a Polar-Coded System,” Wireless Personal Multimedia Communications (WPMC 2019), LISBOA, PORTUGAL, Nov. 2019. [OV] [Proc]
  64. K. Saito, Y. Ogawa, T. Nishimura, T. Ohgane, J. Hagiwara, “Computational Complexity Reduction of Receive Weight Matrices in Massive MIMO SC-FDE,” International Conference on Computing, Networking and Communications (ICNC 2019), Honolulu, Hawaii, Feb. 2019. [OV] [Proc]
  65. Y. Suzuki, T. Nishimura, T. Ohgane, Y. Ogawa, J. Hagiwara, “A Study on Layouts of Distributed Antenna Arrays in an Indoor Multi-User Massive MIMO System,” International Conference on Computing, Networking and Communications (ICNC 2019), Honolulu, Hawaii, Feb. 2019. [OV] [Proc]
  66. Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto, “Modeling place and head-direction cells self-organized in different environments using recurrent neural networks”, 24th International Symposium on Artificial Life and Robotics (AROB 24th 2019), 2019 [JP, International Symposium] [Proc] *ii)
  67. Naohiro Shibuya, Hiroyuki Iizuka and Masahito Yamamoto, “Group Decision Making through Behavioral Interaction in Robot Swarm”, 2019 IEEE/SICE International Symposium on System Integration (SII2019), 764 – 769, 2019 [OV][Proc]
  68. Ryota Sekiya, Satoshi Oyama and Masahito Kurihara, “User-adaptive preparation of mathematical puzzles using item response theory and deep learning”, Proceedings of the 32nd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2019), pp. 530-537, 2019. [OV][Proc]
  69. Kyohei Atarashi, Akimi Moriyama, Satoshi Oyama and Masahito Kurihara, “A personalized affect response model for online news articles”, Proceedings of the Fifth Linguistic and Cognitive Approaches To Dialog Agents Workshop (LaCATODA 2019), 2019. [OV][Proc]*ii)
  70. Shoma Kikuchi, Ichigaku Takigawa, Satoshi Oyama, and MasahitoKurihara, “Learning relevant molecular representations via self-attentive graph neural networks”, Proceedings of the Workshop on Deep Graph Learning: Methodologies and Applications (DGLMA 2019), pp.5364-5369, 2019. [OV][Proc]*ii)
  71. Jing Song, Satoshi Oyama, and Masahito Kurihara, “Identification of Possible Common Causes by Intrinsic Dimension Estimation”, In Proceedings of the 2019 IEEE International Conference on Big Data and Smart Computing (IEEE BigComp 2019), February 2019. [OV][Proc]
  72. Tomoumi Takase, Satoshi Oyama and Masahito Kurihara, “Evaluation of Stratified Validation in Neural Network Training with Imbalanced Data”, In Proceedings of the 2019 IEEE International Conference on Big Data and Smart Computing (IEEE BigComp 2019), February 2019. [OV] [Proc]*i) ii)
2018
  1. Yoshikazu Miyanaga, Hiroshi Tsutsui, Junji Yamano, Masaki Miura, Tohru
    Gotoh, Takashi Imagawa, “Development of Real-time FHD Loss-Less Video
    Communication over an 8×8 MIMO-OFDM System,” Proceedings of Asia-Pacific
    Signal and Information Processing Association Annual Summit and Conference
    (APSIPA ASC), Nov. 2018.
  2. Yoshikazu Miyanaga, Hiroshi Tsutsui, Junji Yamano, Masaki Miura, Tohru
    Gotoh, Takashi Imagawa, “Development of High Performance RF Modules Used in
    Real-time FHD Video Communication over 8×8 MIMO-OFDM System,” Proceedings
    of International Symposium on Intelligent Signal Processing and
    Communication Systems (ISPACS), Nov. 2018.
  3. Jiayue Tang, Yu Tian, Xiaonan Jiang, Hiroshi Tsutsui, Yoshikazu Miyanaga,
    “An Evaluation of Keyword Detection Using ACF of Pitch for Robust Speech
    Recognition,” Proceedings of International Symposium on Communications and
    Information Technologies (ISCIT), pp. 96-100, Sep. 2018.
  4. Yu Tian, Jiayue Tang, Xiaonan Jiang, Hiroshi Tsutsui, Yoshikazu Miyanaga,
    “Accuracy on Children’s Speech Recognition under Noisy Circumstances,”
    Proceedings of International Symposium on Communications and Information
    Technologies (ISCIT), pp. 101-104, Sep. 2018.
  5. Yu Tian, Jiayue Tang, Xiaonan Jiang, Hiroshi Tsutsui, Yoshikazu Miyanaga,
    “Robust Children Isolated Speech Recognition System Using RSA and RSF,”
    Proceedings of International Symposium on Multimedia and Communication
    Technology (ISMAC), pp. 113-116, Aug. 2018.
  6. Jiayue Tang, Yu Tian, Xiaonan Jiang, Hiroshi Tsutsui, Yoshikazu Miyanaga,
    “Keyword Detection Using F0-VAD in Robust Isolated Phase Recognition
    System,” Proceedings of International Symposium on Multimedia and
    Communication Technology (ISMAC), pp. 121-124, Aug. 2018.
  7. Yunako Katagishi, So Tsuyuguchi, Hiroshi Tsutsui, Yoshikazu Miyanaga, “An
    Evaluation of Entropy Coding Approaches in Block-Based Adaptive Lossless
    Image Coding Method for Embedded Systems,” Proceedings of International
    Symposium on Multimedia and Communication Technology (ISMAC), Aug. 2018.
  8. Kazuhiro Kurita, Kunihiro Wasa, Hiroki Arimura, Takeaki Uno, “Efficient
    Enumeration of Dominating Sets for Sparse Graphs”, Proceedings of the 29th
    International Symposium on Algorithms and Computation (ISAAC 2018). (Hotel
    Royal Chiaohsi, Jiaoxi, Yilan County, Taiwan, December 16-19, 2018) [OV]
    [Proc]
  9. Kazuhiro Kurita, Kunihiro Wasa, Alessio Conte, Takeaki Uno, and Hiroki
    Arimura, “Efficient Enumeration of Subgraphs and Induced Subgraphs with
    Bounded Girth”, Proceedings of the 29th International Workshop (IWOCA 2018)
    on Combinatorial Algorithms, Lecture Notes in Computer Science, Springer,
    vol.10979, pp.201-213, 2018. (IWOCA 2018, School of Computing, National
    University of Singapore (NUS), Singapore, 16-19 July 2018) [OV] [Proc]
  10. Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
    “Estimation of Important Scenes in Soccer Videos Based on Collaborative Use
    of Audio-Visual CNN Features”, 2018 IEEE 7th Global Conference on Consumer
    Electronics (GCCE 2018), pp.675-676 (2018)
  11. Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama: “Team Tactics
    Estimation in Soccer Videos via Deep Extreme Learning Machine Based on
    Players Formation”, 2018 IEEE 7th Global Conference on Consumer Electronics
    (GCCE2018), pp.85-86 (2018)
  12. Shoji Takimura, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama: “Twitter
    Followee Recommendation Based on Multimodal FFM Considering Social
    Relations”, 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE
    2018), pp.173-174 (2018)
  13. Kazaha Horii, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama: “A
    Human-Centered Neural Network Model with Discriminative Locality Preserving
    Canonical Correlation Analysis for Image Classification”, 25th IEEE
    International Conference on Image Processing (ICIP), pp.2366-2370 (2018)
  14. Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa and Miki Haseyama:
    “Estimation of Viewed Image Categories via CCA Using Human Brain Activity”,
    2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018),
    pp.171-172 (2018)
  15. Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama: “Missing
    Image Data Estimation via Iterative Convolutional Sparse Coding”, 2018 IEEE
    7th Global Conference on Consumer Electronics (GCCE 2018), pp.169,170
    (2018)
  16. Yuya Moroto, Keisuke Maeda, Takahiro Ogawa and Miki Haseyama:
    “User-centric Visual Attention Estimation Based on Relationship Between
    Image and Eye Gaze Data”, 2018 IEEE 7th Global Conference on Consumer
    Electronics (GCCE 2018), pp.44-45 (2018)
  17. Rintaro Yanagi, Ren Togo, Takahiro Ogawa and Miki Haseyama: “Image
    Retrieval from Vague Description Based on AttnGAN”, 2018 IEEE 7th Global
    Conference on Consumer Electronics (GCCE 2018), pp.167-168 (2018)
  18. Ken Kawakami, Takahiro Ogawa, Miki Haseyama: “Blood Circulation Based on
    PPG Signals for Thermal Comfort Evaluation”, 2018 IEEE 7th Global
    Conference on Consumer Electronics (GCCE 2018), pp.163-164 (2018)
  19. Ken Kawakami, Takahiro Ogawa, Miki Haseyama: “Detection of Deformed PPG
    Waveforms Based on a Ratio of Their Average Accelerations”, 2018 IEEE 7th
    Global Conference on Consumer Electronics (GCCE 2018), pp.165-166 (2018)
  20. Ren Togo, Kenta Ishihara, Takahiro Ogawa, Miki Haseyama: “ANONYMOUS
    GASTRITIS IMAGE GENERATION VIA ADVERSARIAL LEARNING FROM GASTRIC X-RAY
    IMAGES”, International Conference on Image Processing (ICIP), pp.2082-2086
    (2018)
  21. Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
    “Tourism Category Classification Based on Novel Decision-making Process
    from Multiple Results”, GI-CoRE GSQ, GSB & IGM Joint Symposium (2018)
    *ii)
  22. Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
    “Distress Classification via Neural Network Maximizing Canonical
    Correlation between Multi-modal Features”, GI-CoRE GSQ, GSB & IGM Joint
    Symposium (2018) *ii)
  23. Yui Matsumoto, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
    “Simultaneous Realization of Multiple Music Video Applications Based on
    Heterogeneous Network Analysis via Latent Link Estimation”, IEEE
    International Conference on Multimedia and Expo (ICME2018), pp.1-6 (2018)
  24. Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama: “Interest
    Level Estimation of Items via Matrix Completion Based on Adaptive User
    Matrix Construction”, IEEE International Conference on Multimedia and Expo
    (ICME2018), pp.1-6 (2018)
  25. Ren Togo, Kenji Hirata, Osamu Manabe, Hiroshi Ohira, Ichizo Tsujino,
    Takahiro Ogawa, Miki Haseyama, Tohru Shiga: “Use of deep convolutional
    neural network-based features for detection of cardiac sarcoidosis from
    polar map”, Society of Nuclear Medicine and Molecular Imaging Annual
    Meeting 2018 (SNMMI) (2018)
  26. Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
    “Tourism Category Classification on Image Sharing Services Through
    Estimation of Existence of Reliable Results”, ACM International Conference
    on Multimedia Retrieval (ICMR2018), pp.493-496 (2018) *ii)
  27. Ren Togo, Kenta Ishihara, Takahiro Ogawa, Miki Haseyama: “ANONYMOUS IMAGE
    DATA GENERATION FROM GASTRIC X-RAY IMAGES FOR IMPROVING GASTRITIS
    RECOGNITION PERFORMANCE”, IEEE International Conference on Consumer
    Electronics-Taiwan (ICCE-TW), pp.181-182 (2018)
  28. Akira Toyoda, Takahiro Ogawa, Miki Haseyama: “Semi-supervised Multiple
    Feature Fusion for Video Preference Estimation”, IEEE International
    Conference on Acoustics, Speech, and Signal Processing (ICASSP2018),
    pp.891-895 (2018)
  29. Yoshiki Ito, Takahiro Ogawa, Miki Haseyama: “SFEMCCA: Supervised
    Fractional-Order Embedding Multiview Canonical Correlation AnalysisFor
    Video Preference Estimation”, IEEE International Conference on Acoustics,
    Speech, and Signal Processing (ICASSP), pp.3086-3090 (2018)
  30. Masaharu Yoshioka: Analysis of COLIEE Information Retrieval Task Data. In
    New Frontiers in Artificial Intelligence. JSAI-isAI 2017. Lecture Notes in
    Computer Science, pp. 5-19, Springer International Publishing, Cham,
    LNCS10838, 2018. [OV]
  31. Masaharu Yoshioka and Zihao Song: HUKB at COLIEE2018 Information
    Retrieval Task. In Proceedings of the twelfth International Workshop on
    Juris-Informatics (JURISIN2018), pp. 183-193, The Japanese Society of
    Artificial Intelligence, 2018. [International Conference]
  32. Masaharu Yoshioka, Yoshinobu Kano, Naoki Kiyota, and Ken Satoh:
    Overview of Japanese Statute Law Retrieval and Entailment Task at
    COLIEE-2018. In Proceedings of the twelfth International Workshop on
    Juris-Informatics (JURISIN2018), pp. 117-128, The Japanese Society of
    Artificial Intelligence, 2018. [International Conference] *i)
  33. Masaharu Yoshioka: WC3: Wikipedia Category Comprehensiveness Checker
    based on the DBpedia Metadata Database. In Workshop and Poster Proceedings
    of the 8th Joint International Semantic Technology Conference co-located
    with the 8th Joint International Semantic Technology Conference (JIST
    2018), pp. 98-101, 2018. [OV]
  34. J. Yamamoto, T. Nishimura, T. Ohgane, Y. Ogawa, Y. Kishiyama,
    “Performance Evaluation on Beam Shapes of a Large MIMO System,” 2018 IEEE
    International Workshop on Antenna Technology (iWAT), Nanjing, China, Mar.
    2018. [OV][Proc]
  35. K. Inoue, T. Nishimura, T. Ohgane, Y. Ogawa, “A Basic Study on Antenna
    Selection for Loose Beamforming in Massive MIMO System,” 2018 IEEE
    International Workshop on Antenna Technology (iWAT), Nanjing, China, Mar.
    2018. [OV][Proc]
  36. T. Hoshikawa, T. Nishimura, T. Ohgane, Y. Ogawa, J. Hagiwara,
    “Performance Comparison of Compressed Sensing Algorithms for DOA estimation
    of Multi-band Signals,” 2018 IEEE Workshop on Positioning, Navigation and
    Communications (WPNC), Bremen, Germany, Oct. 2018. [OV][Proc]
  37. Y. Kase, T. Nishimura, T. Ohgane, Y. Ogawa, D. Kitayama, Y. Kishiyama,
    “DOA Estimation of Two Targets with Deep Learning,” 2018 IEEE Workshop on
    Positioning, Navigation and Communications (WPNC), Bremen, Germany, Oct.
    2018. [OV][Proc]
  38. T. Watabe, T. Nishimura, T. Ohgane, Y. Ogawa, J. Hagiwara, “Superposed
    16-QAM Signal Detection Using GaBP in a Massive MIMO System,” Asia-Pacific
    Signal and Information Processing Association Annual Summit and Conference
    2018 (APSIPA ASC), Honolulu, Hawaii, Nov. 2018. [OV][Proc]
  39. Kenji Hirata, Hiroyuki Iizuka, Masahito Yamamoto, “Deep Reinforcement
    Learning Method Enabling Stable Learning in Multi-Agent Environment”, The
    22nd Asia Pacific Symposium on Intelligent and Evolutionary Systems
    (IES2018), 163~168, 2018 [OV][Proc]
  40. Hironobu Horiuchi, Hiroyuki Iizuka, Masahito Yamamoto, “Differentiation
    of communication signals to establish cooperation using Deep Q-Network”,
    The 22nd Asia Pacific Symposium on Intelligent and Evolutionary Systems
    (IES2018), 156~162, 2018 [OV][Proc]
  41. Takafumi Suzuki, Satoshi Oyama, and Masahito Kurihara, “Toward
    Explainable Recommendations: Generating Review Text from Multicriteria
    Evaluation Data”, In Proceedings of the Second IEEE Workshop on
    Human-in-the-loop Methods and Human Machine Collaboration in BigData (IEEE
    HMData 2018), pp. 3548-3550, December 2018. [OV][Proc]
  42. Yuko Sakurai, Jun Kawahara, and Satoshi Oyama, “Aggregating Crowd
    Opinions Using Shapley Value Regression”, In Proceedings of the 12th
    Multi-Disciplinary International Conference on Artificial Intelligence
    (MIWAI 2018), November 2018. [OV][Proc]
  43. Taiju Matsui, Satoshi Oyama, and Masahito Kurihara, “Effect of
    Viewing Directions on Deep Reinforcement Learning in 3D Virtual Environment
    Minecraft”, In Proceedings of the 21st International Conference on
    Principles and Practice of Multi-Agent Systems (PRIMA 2018), pp. 527-534,
    October 2018. [OV][Proc] *i)
  44. Hiroyuki Ihara, Shunsuke Imai, Satoshi Oyama, and Masahito
    Kurihara, “Implementation and Evaluation of Information Set Monte Carlo
    Tree Search for Pokémon”, In Proceedings of the 2018 IEEE International
    Conference on Systems, Man, and Cybernetics (IEEE SMC 2018), pp. 2178-2183,
    October 2018. [OV][Proc] *i)
  45. Jing Song, Satoshi Oyama, and Masahito Kurihara, “A Framework for
    Crowd-based Causal Analysis of Open Data”, In Proceedings of the 2018 IEEE
    International Conference on Systems, Man, and Cybernetics (IEEE SMC 2018),
    pp. 2184-2189, October 2018. [OV][Proc]
  46. Tomoumi Takase, Satoshi Oyama, and Masahito Kurihara, “Longer
    Distance Weight Prediction for Faster Training of Neural Networks”, In
    Proceedings of the 2018 IEEE International Conference on Systems, Man, and
    Cybernetics (IEEE SMC 2018), pp. 2190-2195, October 2018. [OV][Proc] *i)
    ii)
  47. Shinsaku Sakaue, Masakazu Ishihata, Shin-ichi Minato, “Efficient Bandit
    Combinatorial Optimization Algorithm with Zero-Suppressed Binary Decision
    Diagrams”, Proc. of the 21st International Conference on Artificial
    Intelligence and Statistics (AISTATS 2018), April, 2018. [OV][Proc]
2017
  1. Iku Ohama, Issei Sato, Takuya Kida, Hiroki Arimura, “On the Model
    Shrinkage Effect of Gamma Process Edge Partition Models”, Proc. the 31st
    Annual Conference on Neural Information Processing Systems (NIPS2017),
    December 2017 (to appear). (Also appeared as: arXiv:1709.08770, 26 Sep.
    2017) [OV] [Proc]
  2. Junpei Komiyama, Masakazu Ishihata, Hiroki Arimura, Takashi Nishibayashi,
    Shin-Ichi Minato, “Statistical Emerging Pattern Mining with Multiple
    Testing Correction”, In Proceedings of the 23rd ACM SIGKDD International
    Conference on Knowledge Discovery and Data Mining (KDD 2017), Research
    Track, Hafifax, Nova Scotia, Canada, August 13-17, pp.897-906, 2017. DOI:
    10.1145/3097983.3098137, [OV] [Proc]
  3. Iku Ohama, Hiromi Iida, Takuya Kida, and Hiroki Arimura, “Discovering
    Relevance-Dependent Bicluster Structure from Relational Data”, Proc. the
    26th International Joint Conference on Artificial Intelligence (IJCAI
    2017), Melbourne, pp.August 2017. DOI: 10.24963/ijcai.2017/359, [OV] [Proc]
  4. Takuya Takagi, Keisuke Goto, Yuta Fujishige, Shunsuke Inenaga, Hiroki
    Arimura, “Linear-size CDAWG: new repetition-aware indexing and grammar
    compression”, In Proceedings of the 24th International Symposium on String
    Processing and Information Retrieval (SPIRE 2017), Lecture Notes in
    Computer Science, Vol.10508, pp.304-316, September 2017. DOI:
    10.1007/978-3-319-67428-5_26, (accepted for publication; SPIRE 2017,
    26th-29th September, 2017 – Palermo, Italy) (also appeared in:
    arXiv:1705.09779 [cs.DS], [OV] [Proc]
  5. Hiroki Arimura, Kazuhito Osabe, Takeaki Uno, “Optimization and
    Enumeration of Decision Trees from Massive Data Sets”, Proc. 21st
    Conference of the International Federation of Operational Research
    Societies (IFORS 2017), ME-18, Quebec, Canada, July 16-21, 2017. [OV]
    [Proc]
  6. Hiroki Arimura, Kazuhito Osabe, Takeaki Uno, “Fast Enumeration Algorithms
    for Induced Trees in Graphs”, Proc. 21st Conference of the International
    Federation of Operational Research Societies (IFORS 2017), Quebec, Canada,
    July 16-21, 2017. [OV] [Proc]
  7. Akira Toyoda, Takahiro Ogawa, Miki Haseyama: “Video Preference Estimation
    Using fNIRS Signals”, IEEE Global Conference on Consumer Electronics
    (GCCE2017), pp.297-298 (2017)
  8. Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama: “Aesthetic Quality
    Assessment of Images via Supervised Locality Preserving CCA”, IEEE Global
    Conference on Consumer Electronics (GCCE2017), pp.258-259 (2017)
  9. Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama: “Interest
    Level Estimation Based on Matrix Completion via Rank Minimization”, IEEE
    Global Conference on Consumer Electronics (GCCE2017), pp.299-300 (2017)
  10. Shoji Takimura, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
    “Personalized Tweet Recommendation Based on Field-aware Factorization
    Machines with Adaptive Field Organization”, IEEE Global Conference on
    Consumer Electronics (GCCE2017), pp.260–261 (2017)
  11. Kazaha Horii, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama: “Image
    Classification for Trend Prediction Based on Integration of fNIRS and
    Visual Features”, IEEE Global Conference on Consumer Electronics
    (GCCE2017), pp.301-302 (2017)
  12. Yui Matsumoto, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
    “Construction of Network Using Heterogeneous Social Metadata for Music
    Video Recommendation”, IEEE Global Conference on Consumer Electronics
    (GCCE2017), pp.316-317 (2017)
  13. Yoshiki Ito, Takahiro Ogawa, Miki Haseyama: “Preference Estimation for
    Video Recommendation Using DCNN Features and Viewing Behavior”, IEEE Global
    Conference on Consumer Electronics (GCCE2017), pp.295-296 (2017)
  14. Kenta Ishihara, Takahiro Ogawa, Miki Haseyama: “Detection of Gastric
    Cancer Risk from X-ray Images via Patch-based Convolutional Neural
    Network”, IEEE International Conference on Image Processing (ICIP 2017),
    pp.2055-2059 (2017)
  15. Susumu Genma, Takahiro Ogawa, Miki Haseyama: “Image Retrieval Based on
    LRGA Algorithm and Relevance Feedback For Insect Identification”, IEEE
    International Conference on Image Processing (ICIP 2017), pp.3978-3982
    (2017)
  16. Shota Hamano, Takahiro Ogawa, Miki Haseyama: “Tag Refinement Based on
    Multilingual Tag Hierarchies Extracted from Image Folksonomy”, IEEE
    International Conference on Image Processing (ICIP 2017), pp.1327-1331
    (2017)
  17. Keisuke Maeda, Takahiro Ogawa, Miki Haseyama: “Automatic Martian Dust
    Storm Detection via Decision Level Fusion Based on Deep Extreme Learning
    Machine”, IEEE International Conference on Image Processing (ICIP 2017),
    pp.435-439 (2017)
  18. Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama: “Automatic
    Estimation of Deterioration Level on Transmission Towers via Deep Extreme
    Learning Machine Based on Local Receptive Field”, IEEE International
    Conference on Image Processing (ICIP 2017), pp.2379-2383 (2017)
  19. Akira Toyoda, Takahiro Ogawa, Miki Haseyama: “MvLFDA-based Video
    Preference Estimation Using Complementary Properties of Features”, IEEE
    International Conference on Image Processing (ICIP 2017), pp.635-639 (2017)
  20. Kenta Ishihara, Takahiro Ogawa, Miki Haseyama: “Detection of
    Gastric Cancer Risk from X-ray Images Based on Machine Learning”, GSB
    Workshop – Big-data Analysis, IoT and Bioinformatics, pp.7-8 (2017) *ii)
  21. Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
    “Deterioration Level Estimation on Transmission Towers Based on Machine
    Learning”, GI-CoRE GSQ, GSB & IGM Joint Symposium, pp.5-6 (2017) *ii)
  22. Ren Togo, Kenta Ishihara, Takahiro Ogawa, Miki Haseyama:
    “Estimation of Regions Related to Helicobacter Pylori Infection from
    Gastric X-ray Images”, GI-CoRE GSQ, GSB & IGM Joint Symposium, pp.7-8
    (2017) *ii)
  23. Kenta Ishihara, Takahiro Ogawa, Miki Haseyama: “Detection of Gastric
    Cancer Risk from X-ray Images via Soft Voting”, International Technical
    Conference on Circuits, Systems, Computers, and Communications (ITC-CSCC),
    pp.481-483 (2017)
  24. Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama:
    “Deterioration Level Estimation on Transmission Towers via Extreme Learning
    Machine based on Combination Use of Local Receptive Field and Principal
    Component Analysis”, International Technical Conference on Circuits,
    Systems, Computers, and Communications (ITC-CSCC), pp.457-458 (2017)
  25. Ren Togo, Kenta Ishihara, Takahiro Ogawa, Miki Haseyama: “Effectiveness
    Evaluation of Imaging Direction for Estimation of Gastritis Regions on
    Gastric X-ray Images”, International Technical Conference on Circuits,
    Systems, Computers, and Communications (ITC-CSCC), pp.459-460 (2017)
  26. Naoki Saito, Takahiro Ogawa, Miki Haseyama: “Identification of Reliable
    Results for Rubber Material Property Estimation Using Scanning Electron
    Microscope Images and Mix Proportions”, International Technical Conference
    on Circuits, Systems, Computers, and Communications (ITC-CSCC), pp.265-266
    (2017)
  27. Sho Takahashi, Takahiro Ogawa, Miki Haseyama: “Retrieval System of
    Similar Inspection Records for Support of Maintenance Inspection in
    Expressway and Discussions of Evaluation by Experienced Inspectors”,
    International Conference on Civil and Building Engineering Informatics
    (ICCBEI 2017), pp.190-193 (2017)
  28. Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama: “Distress
    Classification of Class Imbalanced Data for Maintenance Inspection of Road
    Structures in Express Way”, International Conference on Civil and Building
    Engineering Informatics (ICCBEI 2017), pp.182-185 (2017)
  29. Ryota Saito, Sho Takahashi, Takahiro Ogawa, Miki Haseyama: “Retrieval of
    Similar Inspection Records Using Deep Learning Based Image Features in
    Expressway”, International Conference on Civil and Building Engineering
    Informatics (ICCBEI 2017), pp.186-189 (2017)
  30. Yoshiki Ito, Takahiro Ogawa, Miki Haseyama: “Personalized Video
    Preference Estimation Based on Early Fusion Using Multiple Users Viewing
    Behavior”, IEEE International Conference on Acoustics, Speech, and Signal
    Processing (ICASSP), pp.3006-3010 (2017)
  31. Takahiro Ogawa, Miki Haseyama: “Exemplar-Based Image Completion via New
    Quality Measure Based on Phaseless Texture Features”, IEEE International
    Conference on Acoustics, Speech, and Signal Processing (ICASSP),
    pp.1827-1831 (2017)
  32. Kento Sugata, Takahiro Ogawa, Miki Haseyama: “Emotion Estimation via
    Tensor-based Supervised Decision-level Fusion from Multiple Brodmann
    Areas”, IEEE International Conference on Acoustics, Speech, and Signal
    Processing (ICASSP), pp.999-1003 (2017)
  33. Sho Takahashi, Miki Haseyama: “Detection of Similar Scenes based on
    Network Analysis in Soccer Videos”, 2017 International Workshop on Advanced
    Image Technology (IWAIT), pp.5A-5 (2017)
  34. Akira Toyoda, Takahiro Ogawa, Miki Haseyama: “Favorite Image Estimation:
    EEG-based Extraction of Visual Features Reflecting Individual Preference”,
    2017 International Workshop on Advanced Image Technology (IWAIT), pp.2A-3
    (2017)
  35. Masaharu Yoshioka, “WC3: Analyzing the Style of Metadata Annotation Among
    Wikipedia Articles by Using Wikipedia Category and the DBpedia Metadata
    Database”, ISWC 2016 International Workshops: KEKI and NLP&DBpedia,
    October 2016 Revised Selected Papers LNCS 10579: Knowledge Graphs and
    Language Technology, pp. 119-136 [OV]
  36. Masaharu Yoshioka, “Analysis of COLIEE Information Retrieval Task Data”,
    The Proceedings of the 11th International Workshop on Juris-Informatics
    (JURISIN2017), pp. 156-167, The Japanese Society of Artificial Intelligence,
    2017 [International Conference]
  37. Shan Gao, Masakazu Ishihata, Shin-ichi Minato, “Fast Message Passing
    Algorithm Using ZDD-Based Local Structure Compilation”, Proceedings of
    Machine Learning Research vol 73, pp. 117-128, 2017 [OV][Proc]
  38. Reona Minoda, Shin-ichi Minato, “Efficient Scenario Verification of
    Proximity-based Federations among Smart Objects through Symbolic Model
    Checking”, Proceedings of the 7th International Joint Conference on
    Pervasive and Embedded Computing and Communication Systems (PECCS 2017),
    pages 13-21[OV][Proc]
  39. Reona Minoda, Masakazu Ishihata, Shin-ichi Minato, “Probabilistic CCRN:
    Reliability Analysis of Ubiquitous Computing Scenarios Using Probabilistic
    Model Checking”, The Eleventh International Conference on Mobile Ubiquitous
    Computing, Systems, Services and Technologies, pp. 85-91[OV][Proc]
  40. Teruji Sugaya, Masaaki Nishino, Norihito Yasuda, Shin-ichi Minato, “Fast
    Compilation of s-t Paths on a Graph for Counting and Enumeration”, Proc. of
    the Third Workshop on Advanced Methodologies for Bayesian Networks (AMBN
    2017), pp. 129-140. Sep. 2017. [OV][Proc]
  41. Masaaki Nishino, Norihito Yasuda, Shin-ichi Minato and Masaaki Nagata:
    “Dancing with Decision Diagrams: A Combined Approach to Exact Cover,” In
    Proc. of the 31st AAAI Conference on Artificial Intelligence (AAAI2017),
    Feb. 2017. [OV][Proc]
  42. Fumito Takeuchi, Masaaki Nishino, Norihito Yasuda, Takuya Akiba,
    Shin-Ichi Minato and Masaaki Nagata: “BDD-Constrained A* Search: A Fast
    Method for Solving Constrained DAG Shortest-Path Problems,” In Proc. of
    AAAI-17 Workshop on Symbolic Inference and Optimization (SymInfOpt-2017),
    Feb. 2017. [OV][Proc]
  43. Jun Kawahara, Takashi Horiyama, Keisuke Hotta, and Shin-ichi Minato:
    “Generating All Patterns of Graph Partitions within a Disparity Bound,” In
    Proc. of the 11th International Workshop of Algorithms and Computation
    (WALCOM2017), Mar. 2017. [OV][Proc]
2016
  1. Takuya Takagi, Shunsuke Inenaga, Kunihiko Sadakane, Hiroki Arimura, “Packed Compact Tries: A Fast and Efficient Data Structure for Online String Processing”, Proc. 27th International Workshop on Combinatorial Algorithm (IWOCA 2016), LNCS, Vol.9843, 213-225, Springer, 2016. (DOI: 10.1007/978-3-319-44543-4_17) (Helsinki, Finland, August 1719, 2016) (Also available as: CoRR abs/1602.00422, arXiv, 2016) [OV] [Proc]
  2. Kazuhiro Kurita, Kunihiro Wasa, Takeaki Uno, Hiroki Arimura, “Efficient Enumeration of Induced Matchings in Graphs without Short Cycles”, Japan Conference on Discrete and Computational Geometory, Graphs, and Games 2016 (JCDCG^3 2016), Tokyo, Japan, September 2016. [JP, International Conference] [Proc]
  3. Mayumbo Nyirenda, Hiroki Arimura, Kimihito Ito, “Relaxing the data access bottleneck of geographic big-data analytics applications using distributed quad trees”, Proc. 5th International Conference on Multimedia Computing and Systems (ICMCS’16), ID-111, IEEE, 2016. (Palm Plaza Hotel, Marrakech, Morocco, 29 September – 1 October 2016) [OV] [Proc]
  4. Kunihiro Wasa, Katsuhisa Yamanaka, Hiroki Arimura, “The Complexity of Induced Tree Reconfiguration Problems”, Proc. 10th International Conference on Language and Automata Theory and Applications (LATA 2016), Lecture Notes in Computer Science, Vol.9618, Springer, 330-342, 2016. DOI: 10.1007/978-3-319-30000-9_26, (Prague, Czech Republic, March 14-18, 2016) [OV] [Proc]
  5. Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama: “Tracking Hierarchical Structure of Web Video Groups Based on Salient Keyword Matching Including Semantic Broadness Estimation”, IEEE Global Conference on Signal and Information Processing (GlobalSIP 2016), pp.1238-1242 (2016)
  6. Keisuke Maeda, Sho Takahashi, Takahiro Ogawa and Miki Haseyama: “Distress Classification of Road Structures via Decision Level Fusion”, 2016 IEEE International Conference on Digital Signal Processing (DSP), pp.589-593 (2016)
  7. Sho Takahashi, Takahiro Ogawa, Miki Haseyama: “Retrieval Method of Similar Inspection Records based on Distance Metric Learning in Expressway Maintenance”, International Conference on Sustainable Infrastructure (2016)
  8. Yuma Sasaka, Takahiro Ogawa, Miki Haseyama: “Multimodal Interest Level Estimation via Variational Bayesinan Mixture of Robust CCA”, 2016 ACM on Multimedia Conference, pp.387-391 (2016)
  9. Yoshiki Ito, Takahiro Ogawa, Miki Haseyama: “Novel Video Feature-based Favorite Video Estimation Using Users’ Viewing Behavior and Evaluation”, 2016 IEEE 5th Global Conference on Consumer Electronics (GCCE), pp.224-225 (2016)
  10. Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama: “A Tourism Category Classification Method Based on Estimation of Reliable Decision”, 2016 IEEE 5th Global Conference on Consumer Electronics (GCCE2016), pp.52-53 (2016)
  11. Kento Sugata, Takahiro Ogawa, Miki Haseyama: “Estimating Human Emotion Evoked by Visual Stimuli Using fMRI Data”, 2016 IEEE 5th Global Conference on Consumer Electronics (GCCE), pp.38-39 (2016)
  12. Shota Hamano, Takahiro Ogawa, Miki Haseyama: “Different Language Association Using Mutual Information Between Tags and Visual Features”, 2016 IEEE 5th Global Conference on Consumer Electronics (GCCE), pp.46-47 (2016)
  13. Susumu Genma, Takahiro Ogawa, Miki Haseyama: “Image Retrieval for Identification of Insects Based on Saliency Map and Distance Metric Learning”, 2016 IEEE 5th Global Conference on Consumer Electronics (GCCE), pp.50-51 (2016)
  14. Ryota Saito, Sho Takahashi, Takahiro Ogawa, Miki Haseyama: “Retrieval of Similar Inspection Records Based on Metric Learning Using Experienced Inspectors’ Evaluation”, 2016 IEEE 5th Global Conference on Consumer Electronics (GCCE), pp.48-49 (2016)
  15. Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama: “Decision Level Fusion-based Team Tactics Estimation in Soccer Videos”, 2016 IEEE 5th Global Conference on Consumer Electronics (GCCE2016), pp.58-59 (2016)
  16. Daichi Takehara, Ryosuke Harakawa, Takahiro Ogawa, and Miki Haseyama: “Hierarchical Content Group Detection From Different Social Media Platforms Using Web Link Structure”, 2016 IEEE International Conference on Image Processing (ICIP), pp.479-483 (2016)
  17. Soh Yoshida, Takahiro Ogawa and Miki Haseyama: “Graph-based web video search reranking through consistency analysis using spectral clustering”, 2016 IEEE International Conference on Multimedia and Expo (ICME), pp.1-6 (2016)
  18. Robert Wille, Nils Quetschlich, Yuma Inoue, Norihito Yasuda, and Shin-ichi Minato: “Using PiDDs for Nearest Neighbor Optimization of Quantum Circuits,” In Proc. of the 8th International Conference on Reversible Computation (RC 2016), (LNCS 9720, Springer), pp. 181-196, Jul. 2016. [OV][Proc]
  19. Hirofumi Suzuki, Sun Hao, and Shin-ichi Minato: “Generating All Solutions of Minesweeper Problem Using Degree Constrained Subgraph Model,” In Proc. of the 2016 International Conference on Parallel & Distributed Processing Techniques & Applications (PDPTA’16), a Workshop session of Mathematical Modeling and Problem Solving, pp. 356-362, Jul. 2016. [OV][Proc]
  20. Reona Minoda, Yuzuru Tanaka, and Shin-ichi Minato: “Verifying Scenarios of Proximity-based Federations among Smart Objects through Model Checking,” In Proc. of the Tenth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM 2016), pp. 65-71, Oct. 2016. (Best paper awarded) [OV][Proc]