業績、受賞歴


受賞

2020

2019

2018

  • 小野直亮、横山直己、黄銘、Md. Altaf-Ul-Amin、中本雅俊、太田大策,  “Bayes ANOVAを用いたEuglena gracilisの代謝経路の網羅的発現変動解析”, 第41回日本化学会ケモインフォマティクス部会 「 JCAC論文賞」を受賞
  • 金谷重彦, インドネシア研究・技術・高等教育省(Ministry of Research, Technology, and Higher Education of the Republic of Indonesia)より、”As World Class Professor for the meritorious collaboration that lead to successful undertaking joint publication” を受賞
  • 宮尾 知幸, 第41回ケモインフォマティクス討論会において「最優秀講演賞(若手研究者部門)」を受賞, 27 Oct,(2018)
  • 船津 公人, ACS (American Chemical Society) Chemical Information部門における 2019 Herman Skolnik Awardを受賞

著書

詳解 マテリアルズインフォマティクス 有機・無機化学のための深層学習
著者:船津 公人/井上 貴央/西川 大貴

2021年8月13日
近代科学社Digital

実践 マテリアルズインフォマティクス Pythonによる材料設計のための機械学習
著者:船津 公人/柴山 翔二郎
2020年7月30日
近代科学社


メディア紹介

2020年10月5日   化学工業日報 『研究思想持ち材料開発 AIとロボが「自動化化学」実現』 船津公人


解説・総説

2021年9月15日   ”Member Highlights: Satoshi Nakamura,” IEEE Inside Signal Processing Newsletter, Sep. 2021 中村哲


学術論文誌
2020年より本務教員の業績のみを掲載しています。兼務教員の業績は各研究室のページをご参照ください。

2020

  • Bin Wu, Sakriani Sakti, Jinsong Zhang and Satoshi Nakamura, “Tackling Perception Bias in Unsupervised Phoneme Discovery Using DPGMM-RNN Hybrid Model and Functional Load,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, Dec. 2020
  • Fan Yang, Xin Chang, Sakriani Sakti, Yang Wu and Satoshi Nakamura, “ReMOT: A Model-agnostic Refinement for Multiple Object Tracking,” Image and Vision Computing, pp1-10, Dec. 2020
  • Seiya Kawano, Masahiro Mizukami, Koichiro Yoshino and Satoshi Nakamura, “Entrainable Neural Conversation Model Based on Reinforcement Learning,” IEEE Access, Sep. 2020
  • Tung The Nguyen, Koichiro Yoshino, Sakriani Sakti and Satoshi Nakamura, “Policy reuse for dialog management using action-relation probability,” IEEE Access, Aug. 2020
  • Fan Yang, Yang Wu, Zheng Wang, Xiang Li, Sakriani Sakti, Satoshi Nakamura, “Instance-level Heterogeneous Domain Adaptation for Limited-labeled Sketch-to-Photo Retrieval,” IEEE Transaction on Multimedia, 2020.7
  • Seitaro Shinagawa, Koichiro Yoshino, Seyed Hossein Alavi, Kallirroi Georgila, David Traum, Sakti Sakriani and Satoshi Nakamura, “An Interactive Image Editing System using an Uncertainty-based Confirmation Strategy,” IEEE Access, May. 2020
  • Hiroki Watanabe, Hiroki Tanaka, Sakriani Sakti and Satoshi Nakamura, “Synchronization between overt speech envelope and EEG oscillations during imagined speech,” Neuroscience Research, vol.153, pp48-55, Apr. 2020
  • Takatomo Kano, Sakriani Sakti and Satoshi Nakamura, “End-to-end Speech Translation with Transcoding by Multi-task Learning for Distant Language Pairs,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, Apr. 2020
  • Takatomo Kano, Sakriani Sakti and Satoshi Nakamura, “End-to-End Speech Translation With Transcoding by Multi-Task Learning for Distant Language Pairs,” IEEE/ACM Transactions on Audio, Speech, and Language Processing , vol.28, pp1342-1355, Apr. 2020
  • Johanes Effendi, Katsuhito Sudoh, Sakriani Sakti and Satoshi Nakamura, “Leveraging Neural Caption Translation with Visually Grounded Paraphrase Augmentation,” IEICE, vol.E103-D, no.03, Mar. 2020
  • Hiroki Tanaka, Hidemi Iwasaka, Hideki Negoro and Satoshi Nakamura, “Analysis of Conversational Listening Skills toward Agent-based Social Skills Training,” Journal on Multimodal User Interfaces, vol.14, no.1, pp73-82, Mar. 2020
  • Andros Tjandra, Sakriani Sakti and Satoshi Nakamura, “Machine Speech Chain,” IEEE Transactions of Audio Speech and Language Processing, pp976-989, Mar. 2020
  • Andros Tjandra, Sakriani Sakti and Satoshi Nakamura, “Recurrent Neural Network Compression based on Low-Rank Tensor Representation,” IEICE transactions on information and systems, vol.E103-D, no.02, Feb. 2020
  • The Tung Nguyen, Koichiro Yoshino, Sakriani Sakti and Satoshi Nakamura, “Dialog Management of Healthcare Consulting System by Utilizing Deceptive Information,” Transactions of the Japanese Society for Artificial Intelligence, vol.35, no.1, ppDSI-C_1-12, 1 Jan. 2020
  • 勝見 久央, 吉野 幸一郎, 平岡 拓也, 秋元 康佑, 山本 風人, 本浦 庄太, 定政 邦彦, 中村 哲, “論証対話システムにおける情報探索対話戦略の最適化,” 人工知能学会論文誌, vol.35, no.1, ppDSI-D_1-12, 2020.1.1
  • Daiki Koge, Naoaki Ono, Ming Huang, MD. ALTAF-UL-AMIN and Shigehiko Kanaya, “Embedding of Molecular Structure Using Molecular Hypergraph Variational Autoencoder with Metric Learning,” Molecular Informatics, vol.2020, 8 Nov. 2020
  • Yuki Higa, Young-Soo Kim, MD. ALTAF-UL-AMIN, Alex Ming Huang, Naoaki Ono and Shigehiko Kanaya, “Divergence of metabolites in three phylogenetically close Monascus species (M. pilosus, M. ruber, and M. purpureus) based on secondary metabolite biosynthetic gene clusters,” BMC Genomics, vol.2020, no.21, 1 Oct. 2020
  • Shigehiko Kanaya, MD. ALTAF-UL-AMIN, Aki Morita Hirai, Alex Ming Huang and Naoaki Ono, “Databases for Natural Product Research,” Comprehensive Natural Products III Chemistry and Biology, vol.7, pp222-238/, Sep. 2020
  • MD. ALTAF-UL-AMIN, M. B. Karim, P. Hu, Naoaki Ono and Shigehiko Kanaya, “Discovery of inflammatory bowel disease-associated miRNAs using a novel bipartite clustering approach,” MBC Medical Genomics, vol.13, no.3, pp1-10, Feb. 2020
  • Tomoyuki Miyano and Kimito Funatsu, “Soft Sensor Modeling for Identifying Significant Process Variables with Time Delays,” Industrial & Engineering Chemistry Research, vol.59, no.26, pp12156-12163, 4 Jun. 2020
  • Hiroshi Nakano, Kimito Funatsu and Tomoyuki Miyano, “Exploring Topological Pharmacophore Graphs for Scaffold Hopping,” J. Chem. Inf. Model., vol.60, no.2, pp2073-2081, 23 Mar. 2020

2019

  • Kyoko Hanawa-Suetsugu, Yuzuru Itoh, Maisarah Ab Fatah, Tamako Nishimura, Kazuhiro Takemura, Kohei Takeshita, Satoru Kubota, Naoyuki Miyazaki, Wan Nurul Izzati Wan Mohamad Noor, Takehiko Inaba, Nhung Thi Hong Nguyen, Sayaka Hamada-Nakahara, Kayoko Oono-Yakura, Masashi Tachikawa, Kenji Iwasaki, Daisuke Kohda, Masaki Yamamoto, Akio Kitao, Atsushi Shimada, Shiro Suetsugu, “Phagocytosis is mediated by two-dimensional assemblies of the F-BAR protein GAS7.”, Nature Communications, 10, 4763, Oct. 2019
  • Manabu Kitamata, Kyoko Hanawa-Suetsugu, Shiro Suetsugu, “Membrane-deformation ability of ANKHD1 is involved in the early endosome enlargement”, iScience, 17, 101-118, June 2019
  • Yoshiaki Haramiishi, Ryo Kawatani, Nalinthip Chanthaset, Hiroharu Ajiro, “Preparation of Block Copolymer of Poly(trimethylene carbonate) with Oligo(ethylene glycol) and the Surface Properties of the Dip Coated Film”
    Polym. Test. 2020, 86, 106484
  • Ryo Kawatani, Malcolm A. Kelland, Hiroharu Ajiro, “Design of a Rigid Side Chain for Poly(N-vinylamide) Derivatives Bearing an Alkenyl Group and Evaluation of Their Ability to Inhibit TetrahydrofuranHydrate Crystal Growth”
    J. Appl. Polym. Sci. accepted on 16th Feb. 2020.
  • Natjaya Ekapakul, Koichi Irikura, Hiroharu Ajiro, Chantiga Choochottiros, “Star-shaped Polycaprolactone/Chitosan Composite Hydrogels: Fabrication and Characterization”, Polym. Int. accepted on 8th Feb. 2020.
  • N Afiqah-Aleng, M Altaf-Ul-Amin, S Kanaya, ZA Mohamed-Hussein, “Graph cluster approach in identifying novel proteins and significant pathways involved in polycystic ovary syndrome”, Reproductive BioMedicine Online 40 (2), pp319-330, 2020
  • M Altaf-Ul-Amin, MB Karim, P Hu, ONO Naoaki, S Kanaya, “Discovery of inflammatory bowel disease-associated miRNAs using a novel bipartite clustering approach”, BMC Medical Genomics 13, 1-10, 2020
  • Yu Miyazaki,  Naoaki Ono,  Ming Huang,  Md. Altaf‐Ul‐Amin, Shigehiko Kanaya, “Comprehensive Exploration of Target‐specific Ligands Using a Graph Convolution Neural Network”, Molecular Informatics (2020), 39, 1900095
  • Guang SHI, Hoko KYO, Toshihiro KAWASAKI, Shigehiko KANAYA, Mariko SATO, Saki TOKUDA-KAKUTANI, Hiroshi WATANABE, Norihito MURAYAMA, Minako OHASHI, Md Altaf-Ul-Amin, Naoaki ONO, Hiroki TANAKA, Satoshi NAKAMURA, Kazuo UEBABA, Nobutaka SUZUKI, Ming HUANG, “Evaluation and Interpretation of 9 Body Constitution Scores of CCMQ-J by Seven Independent Questionnaires”, Japanese J. of Complementary and Alternative Medicine, 16, pp79-93 , 2019
  • 德田(角谷) 佐紀, 田中 宏季, 中村 哲, 村山 宣人, 許 鳳浩, 上馬塲 和夫, 鈴木 信孝, 金谷 重彦,”中医体質と生活習慣病リスクファクターの関連性に関する横断的研究”,日本補完代替医療学会誌, 16, pp105-112, 2019
  • 佐藤 真梨子, 川崎 聡大, 黄 銘, 許 鳳浩, 小野 直亮, 江口 遼平, Md.Altaf-Ul-Amin, 德田(角谷) 佐紀, 渡辺 斉志, 村山 宣人, 中村 哲, 山口 栞,田中 宏季, 金谷 重彦, 朱 燕波, 戴 昭宇, 王 琦, 上馬塲 和夫, 鈴木 信孝,”クラウドソーシングを活用した日本全体のCCMQ-J問診票調査における最適グループ数とその体質特性”, 日本補完代替医療学会誌  16, pp105-112, 2019
  • Miyao T, Jasial S, Bajorath J & Funatsu K. “Evaluation of different virtual screening strategies on the basis of compound sets with characteristic core distributions and dissimilarity relationships. “ J Comput-Aided Mol Des ,33, 729-743, 2019
  • Laufkötter O, Miyao T & Bajorath J. “Large-scale comparison of alternative similarity search strategies with varying chemical information contents. ” ACS Omega 4, 15304-15311
  • Ryohei Eguchi, Naoaki Ono, Aki Hirai (Morita), Tetsuo Katuragi, Satoshi Nakamura,Ming Huang, Md. Altaf-Ul-Amin, Shigehiko Kanaya,Classification of alkaloids according to the starting substances of their biosynthetic pathwaysusing graph convolutional neural networks, BMC Bioinformatics, July 2019
  • Tamura S, MiyaoT & Funatsu K. “Development of R-Group Fingerprints Based on the Local Landscape from an Attachment Point of a Molecular Structure “ J. Chem. Inf. Model 59, 2656-2663, 2019
  • Miyao T & Funatsu K. “Iterative Screening Methods for Identification of Chemical Compounds with Specific Values of Various Properties. ” J. Chem. Inf. Model 59, 2626-2641, 2019
  • Miyao T, Funatsu K & Bajorath J. “Exploring alternative strategies for the identification of potent compounds using support vector machine and regression modeling.” J. Chem. Inf. Model 59, 983-992, 2019.
  • Miyao T, Funatsu K & Bajorath J. “Three-dimensional activity landscape models of different design and their application to compound mapping and potency prediction.” J. Chem. Inf. Model 59, 993-1004, 2019.
  • Mohammad Bozlul Karim, Ming Huang, Naoaki Ono, Shigehiko KANAYA, Md.Altaf-Ul-Amin, “BiClusO: A novel biclustering approach and its application to species-VOC relational data”, IEEE TRANSACTIONS on COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, Jun. 2019

2018

  • Yonchev D, Vogt M, Stumpfe D, Kunimoto R, Miyao T & Bajorath J. , “Computational assessment of chemical saturation of analog series under varying conditions”, ACS Omega, vol.3, no.11, pp15799-15808, 20 Nov. 2018.
  • Miwa Ohnishi, Aya Anegawa, Yuko Sugiyama, Kazuo Harada, Akira Oikawa, Yasumune Nakayama, Fumio Matsuda, Yukiko Nakamura, Ryosuke Sasaki, Chizuko Shichijo, Patrick G. Hatcher, Hidehiro Fukaki, Shigehiko Kanaya*, Koh Aoki, Mami Yamazaki, Eiichiro Fukusaki, Kazuki Saito and Tetsuro Mimura, “Molecular Components of Arabidopsis Intact Vacuoles Clarified with Metabolomic and Proteomic Analyses”, Plant & Cell Physiology, vol.59, no.7, pp1353-1362, 12 Apr. 2018
  • Tetsuo Sato*, Satoshi Kamikawa, Subaru Nakayama, Nobuyasu Ichinose, Shigehide Kuhara, Shigehiko Kanaya*, Kotaro Minato and Cesar Nomura, “Motion Correction for Extracellular Volume Fraction Mapping in Cardiac MRI,” Advanced Biomedical Engineering, vol.7, pp82-87, Apr. 2018
  • Kang Liu, Aki H. Morita, Shigehiko Kanaya* and MD. ALTAF-UL-AMIN*, “Metabolite-Content-Guided Prediction of Medicinal/Edible Properties in Plants for Bioprospecting,” Current Research in Complementary & Alternative Medicine, ppCRCAM-130, Apr. 2018
  • Eguchi R, Karim MB, Hu P, Sato T, Ono N, Kanaya S, Altaf-Ul-Amin M.,BMC Bioinformatics., An integrative network-based approach to identify novel disease genes and pathways: a case study in the context of inflammatory bowel disease, 19:264.pp1-16, (2018)
  • Satoshi WATANABE, Hoko KYO, KANG Liu, Ryohei EGUCHI, Md. Altaf-Ul-Amin, Aki MORITA(Hirai), Minako OHASHI, Naoaki ONO, Alex Ming HUANG, Yanbo ZHU, Qi WANG, Zhaoyu DAI, Yukiko NAKAMURA, Klaus W. LANGE, Kazuo UEBABA, Shintaro HASHIMOTO, Shigehiko KANAYA, Nobutaka SUZUKI, “Data Intensive Study of Accessibility of Edible Species and Healthcare Across the Globe”, Japanese Journal of Complementary and Alternative Medicine, 15,pp37-60(2018)
  • Tomoyuki Miyao, Jürgen Bajorath, “Exploring ensembles of bioactive or virtual analogs of X-ray ligands for shape similarity searching”,  Journal of Computer-Aided Molecular Design, 32, pp759-767, (2018).
  • Victor Andrew A. Antonio, Naoaki Ono, Akira Saito, Tetsuo Sato, Md. Altaf-Ul-Amin, Shigehiko Kanaya, “Classification of lung adenocarcinoma transcriptome subtypes from pathological images using deep convolutional networks“, International Journal of Computer Assisted Radiology and Surgery, 13, pp 1905–1913 (2018).

2017

  • 小野直亮、横山直己、黄銘、Md. Altaf-Ul-Amin、中本雅俊、太田大策, “Bayes ANOVAを用いたEuglena gracilisの代謝経路の網羅的発現変動解析”, Journal of Computer Aided Chemistry, 18, pp 110-116 (2017)

国際会議
2019年より本務教員の業績のみを掲載しています。兼務教員の業績は各研究室のページをご参照ください。

2020

  • Yui Oka, Katsuki Chousa, Katsuhito Sudoh and Satoshi Nakamura, “Incorporating Noisy Length Constraints into Transformer with Length-aware Positional Encodings,” Proceedings of the 28th International Conference on Computational Linguistics(COLING 2020), pp3580-3585, Dec. 2020
  • Mayuko Okamoto, Sakriani Sakti and Satoshi Nakamura, “Towards Speech Entrainment: Considering ASR Information in Speaking Rate Variation of TTS Waveform Generation,” Oriental COCOSDA 2020, Nov. 2020
  • Satoshi Nakamura, Sakriani Sakti, Tomoya Yanagita and Novitasari Sashi, “Towards Incremental ASR and TTS for Real time Interaction,” 2nd INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SPEECH TECHNOLOGY, Nov. 2020
  • Andros Tjandra, Sakriani Sakti and Satoshi Nakamura, “Transformer VQ-VAE for Unsupervised Unit Discovery and Speech Synthesis,” Interspeech 2020, Oct. 2020
  • Satoshi Nakamura, “Social-affective interactions with virtual agents,” International Doctoral Summer School in Conversational Systems for Mental e-health, 9 Oct. 2020
  • Ivan Halim Parmonangan, Hiroki Tanaka, Sakriani Sakti and Satoshi Nakamura, “Combining Audio and Brain Activity for Predicting Speech Quality,” Interspeech 2020, Oct. 2020
  • Kazuki Tsunematsu, Johanes Effendi, Sakriani Sakti and Satoshi Nakamura, “Neural Speech Completion,” Interspeech 2020, Oct. 2020
  • Johanes Effendi, Andros Tjandra, Sakriani Sakti and Satoshi Nakamura, “Augmenting Images for ASR and TTS throughSingle-loop and Dual-loop Multimodal Chain Framework,” Interspeech 2020, Oct. 2020
  • Sashi Novitasari, Andros Tjandra, Tomoya Yanagita, Sakriani Sakti and Satoshi Nakamura, “Incremental Machine Speech Chain Towards Enabling Listening while Speaking in Real-time,” Interspeech 2020, Oct. 2020
  • Hiroki Tanaka, Satoshi Nakamura, Jean-Claude Martin and Catherine Pelachaud, “Social Affective Multimodal Interaction for Health,” ICMI ’20: Proceedings of the 2020 International Conference on Multimodal Interaction, pp893-894, Oct. 2020
  • Kana Miyamoto, Hiroki Tanaka and Satoshi Nakamura, “Music Generation and Emotion Estimation from EEG Signals for Inducing Affective States,” ICMI ’20: Proceedings of the 2020 International Conference on Multimodal Interaction, pp487-491, Oct. 2020
  • Takeshi Saga, Hiroki Tanaka, Hidemi Iwasaka and Satoshi Nakamura, “Objective Prediction of Social Skills Level for Automated Social Skills Training Using Audio and Text Information,” ICMI ’20: Proceedings of the 2020 International Conference on Multimodal Interaction, pp467-471, Oct. 2020
  • Kazuhiro Shidara, Hiroki Tanaka, Hiroyoshi Adachi, Daisuke Kanayama, Yukako Sakagami, Takashi Kudo and Satoshi Nakamura, “ Analysis of Mood Changes and Facial Expressions during Cognitive Behavior Therapy through a Virtual Agent,” ICMI ’20: Proceedings of the 2020 International Conference on Multimodal Interaction, pp477-481, Oct. 2020
  • Yoichi Ishibashi, Katsuhito Sudoh, Koichiro Yoshino and Satoshi Nakamura, “Reflection-based Word Attribute Transfer,” In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL): Student Research Workshop (SRW), pp51-58, Jul. 2020
  • Kosuke Takahashi, Katsuhito Sudoh and Satoshi Nakamura, “Automatic Machine Translation Evaluation using Source Language Inputs and Cross-lingual Language Model.,” In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), pp3553-3558, Jul. 2020
  • Ryo Fukuda, Katsuhito Sudoh and Satoshi Nakamura, “NAIST’s Machine Translation Systems for IWSLT 2020 Conversational Speech Translation Task,” In Proceedings of the 17th International Conference on Spoken Language Translation (IWSLT), pp172-177, Jul. 2020
  • Haruko Yagura, Hiroki Tanaka, Taiki Kinoshita, Hiroki Watanabe, Shunnosuke Motomura, Katsuhito Sudoh and Satoshi Nakamura, “Analysis of selective attention processing on experienced simultaneous interpreters using EEG phase synchronization,” 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp66-69, Jul. 2020
  • Shunnosuke Motomura, Hiroki Tanaka and Satoshi Nakamura, “Sequential Attention-based Detection of Semantic Incongrueties from EEG While Listening to Speech,” 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp268-271, Jul. 2020
  • Hiroki Tanaka, Hidemi Iwasaka, Hideki Negoro and Satoshi Nakamura, “Linguistic Features during Speech Utterances in the Context of Social Skills Training,” 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp6201-6201, Jul. 2020
  • Panikos Heracleous, Akio Yoneyama, Kohichi Takai and Keiji Yasuda, “Automatic Spoken Language Identification Using Emotional Speech,” HCI International 2020, Jul. 2020
  • Kohichi Takai, Panikos Heracleous, Keiji Yasuda and Akio Yoneyama, “Deep Learning-based Automatic Pronunciation Assessment for Second Language Learners,” HCI International 2020, Jul. 2020
  • Fan Yang, Xin Chang, Chenyu Dang, Ziqiang Zheng, Yang Wu, Sakriani Sakti and Satoshi Nakamura, “ReMOTS: Self-Supervised Refining Multi-Object Tracking and Segmentation,” BMTT MOTChallenge Workshop of CVPR, Jun. 2020
  • Fan Yang, Feiran Li, Yang Wu, Sakriani Sakti and Satoshi Nakamura, “A Framework for Knowing Who is Doing What in Aerial Surveillance Videos,” ICASSP 2020, May. 2020
  • Andros Tjandra, Chunxi Liu, Frank Zhang, Xiaohui Zhang, Yongqiang Wang, Gabriel Synnaeve, Satoshi Nakamura and Geoffrey Zweig, “Deja-vu: Double Feature Presentation and Iterated Loss in Deep Transformer Networks,” International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May. 2020
  • Sara Asai, Koichiro Yoshino, Seitaro Shinagawa, Sakriani Sakti and Satoshi Nakamura, “Emotional Speech Corpus for Persuasive Dialogue System,” the 12th Conference on Language Resources and Evaluation (LREC 2020), pp491-497, May. 2020
  • Sashi Novitasari, Andros Tjandra, Sakriani Sakti, Satoshi Nakamura., “Cross-Lingual Machine Speech Chain for Javanese, Sundanese, Balinese, and Bataks Speech Recognition and Synthesis. ,” In the Proceedings of the 1st Joint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL), pp131-138, 2020.5
  • Panyawut Sri-iesaranusorn, Saeka Shimochi, Naoaki Ono, Emrah Yatkin, Hidehiro Iida, Kazushi Ikeda and Junichiro Yoshimoto, “Quantification Analysis of Behavioral Changes after Sciatic Nerve Ligation in Rats,” APSIPA-ASC, vol.in press, 7 Dec. 2020
  • Zheng Chen, 小野 直亮, MD. ALTAF-UL-AMIN, 金谷 重彦 and Ming Huang, “iVAE: A New Deep Learning Structure for EEG Signal Characterization and Reconstruction,” IEEE BIBM2020, IEEE, Nov. 2020
  • Kazuhisa Hirose, Joao V. Nani, Lucas C. Porta, Naoaki Ono, Shigehiko Kanaya, Mirian. A. F. Hayashi and MD. ALTAF-UL-AMIN, “Construction of Schizophrenia and Bipolar Disorder Related Protein-Protein Interaction Network for Pathway Analysis,” The Asian Regional Conference on Systems Biology, Mar. 2020
  • Mutsunori Uenuma, Shota Terai, Tomoyuki Miyano, Yasuaki Ishikawa and Yukiharu Uraoka, “Bayesian optimization and expected hyper volume improvement for SiO2/GaN capacitor ,” International Conference on Solid State Devices and Materials , vol.D-10-06 , 30 Sep. 2020

    2019

  • Satoshi Nakamura, Jean-Claude Martin, “TAPAS: Training Adapted Personalised Affective Social Skills with Cultural Virtual Agents,” 2nd JST-ANR Joint Symposium: Symbiotic Interaction 2019, 2 Dec. 2019
  • Fan Yang, Sakriani Sakti, Yang Wu, Satoshi Nakamura, “Make Skeleton-based Action Recognition Model Smaller, Faster and Better,” ACM International Conference on Multimedia in Asia (ACMMULTIMEDIA ASIA 2019), Dec. 2019
  • Nguyen The Tung, Koichiro Yoshino, Sakriani Sakti, Satoshi Nakamura, “Hierarchical Tensor Fusion Network for Deception Handling Negotiation Dialog Model,” Proc. of the 3rd Conversational AI workshop (ConvAI 2019), Dec. 2019
  • Nurul Lubis, Sakriani Sakti, Koichiro Yoshino, Satoshi Nakamura, “Dialogue Model and Response Generation for Emotion Improvement Elicitation,” Proc. of the 3rd Conversational AI workshop (ConvAI 2019), Dec. 2019
  • Andros Tjandra, Sakriani Sakti, Satoshi Nakamura, “Speech-to-speech Translation between Untranscribed Unknown Languages,” IEEE Automatic Speech Recognition and Understanding (ASRU) 2019, Dec. 2019
  • Johanes Effendi, Andros Tjandra, Sakriani Sakti, Satoshi Nakamura, “Listening while Speaking: Improving ASR through Multimodal Chain,” IEEE Automatic Speech Recognition and Understanding (ASRU) 2019, Dec. 2019
  • Sahoko Nakayama, Andros Tjandra, Sakriani Sakti, Satoshi Nakamura, “ZERO-SHOT CODE-SWITCHING ASR AND TTS WITH MULTILINGUAL MACHINE SPEECH CHAIN,” IEEE Automatic Speech Recognition and Understanding (ASRU) 2019, Dec. 2019
  • Takatomo Kano, Sakriani Sakti, Satoshi Nakamura, “Neural Machine Translation with Acoustic Embedding,” IEEE Automatic Speech Recognition and Understanding (ASRU) 2019, Dec. 2019
  • Satoshi Nakamura, “Machine Speech Chain for Lifelong Learning,” Life Long Learning for Spoken Language Systems Workshop 2019, 14 Dec. 2019
  • Satoshi Nakamura, Sakriani Sakti, Katsuhito Sudoh, “Semi-supervised Learning by Machine Speech Chain for Multilingual Speech Processing, and Recent Progress on Automatic Speech Interpretation,” The International Conference Language Technologies for All (LT4All): Enabling Linguistic Diversity and Multilingualism Worldwide, Dec. 2019
  • Satoshi Nakamura, “Recent Advances in Speech Processing and Machine Translation Research at NAIST,” International Conference on Artificial Intelligence and Speech Technology (AIST 2019), Nov. 2019
  • Satoshi Nakamura, ” Spoken Language Technologies for Tourism Information Analytics and Social Skill Training,” Spoken Multimodal Dialogue Systems Technology for Pervasive Computing, Shonan Meeting, Oct. 2019
  • Hiroki Tanaka, Hiroyoshi Adachi, Hiroaki Kazui, Manabu Ikeda, Takashi Kudo, Satoshi Nakamura, “Detecting Dementia from Face in Human-Agent Interaction,” ACM International Conference on Multimodal Interaction (ICMI 2019), Oct. 2019
  • Shunnosuke Motomura, Hiroki Tanaka, Satoshi Nakamura, “Detecting Syntactic Violations from Single-trial EEG using Recurrent Neural Networks,” ACM International Conference on Multimodal Interaction (ICMI 2019), Oct. 2019
  • Taiki Kinoshita, Hiroki Tanaka, Koichiro Yoshino, Satoshi Nakamura, “Measuring Affective Sharing between Two People by EEG Hyperscanning,” ACM International Conference on Multimodal Interaction (ICMI 2019), Oct. 2019
  • Mayuko Okamoto, Sakriani Sakti, Satoshi Nakamura, “Phoneme Level Speaking Rate Variation on Waveform Generation using GAN-TTS,” Proc. of Oriental COCOSDA 2019, no.55, Oct. 2019
  • Sahoko Nakayama, Takatomo Kano, Andros Tjandra, Sakriani Sakti, Satoshi Nakamura, “Recognition and Translation of Code-switching Speech Utterances,” Proc. of Oriental COCOSDA 2019, no.71, Oct. 2019
  • Seiya Kawano, Koichiro Yoshino, Satoshi Nakamura, “Neural Conversation Model Controllable by Given Dialogue Act Based on Adversarial Learning and Label-aware Objective,” Proceedings of the 12th International Conference on Natural Language Generation (INLG2019), pp198-207, Oct. 2019
  • Ivan Halim Parmonangan, Hiroki Tanaka, Sakriani Sakti, Shinnosuke Takamichi, Satoshi Nakamura, “Speech Quality Evaluation of Synthesized Japanese Speech Using EEG,” Proceedings of INTERSPEECH 2019, Sep. 2019
  • Sashi Novitasari, Andros Tjandra, Sakriani Sakti, Satoshi Nakamura, “Sequence-to-sequence Learning via Attention Transfer for Incremental Speech Recognition,” Proceedings of INTERSPEECH 2019, pp3835-3839, Sep. 2019
  • Andros Tjandra, Berrak Sisman, Mingyang Zhang, Sakriani Sakti, Haizou Li, Satoshi Nakamura, “VQVAE Unsupervised Unit Discovery and Multi-Scale Code2Spec Inverter for Zerospeech Challenge 2019,” Proceedings of INTERSPEECH 2019, pp1118-1122, Sep. 2019
  • Tomoya Yanagita, Sakriani Sakti, Satoshi Nakamura, “Neural iTTS: Toward Synthesizing Speech in Real-time with End-to-end Neural Text-to-Speech Framework,” 10th Speech Synthesis Workshop (SSW10), Sep. 2019
  • Andrei Catalin Coman, Koichiro Yoshino, Yukitoshi Murase, SatoshiNakamura, Giuseppe Riccardi, “An Incremental Turn-Taking Model For Task-Oriented Dialog Systems,” Proceedings of INTERSPEECH 2019, Sep. 2019
  • Shohei Tanaka, Koichiro Yoshino, Katsuhito Sudoh, Satoshi Nakamura, “Conversational Response Re-ranking Based on Event Causality and Role Factored Tensor Event Embedding,” Proceedings of the 1st Workshop on NLP for Conversational AI(ConvAI 2019), pp51-59, 1 Aug. 2019
  • Satoshi Nakamura, “End-to-end approach to ASR, TTS and Speech Translation,” Task Force on Speech, Dialogue and Auditory Processing of CCF, China Computer Federation, 14 Aug. 2019
  • Yoichi Ishibashi, Katsuhito Sudoh, Koichiro Yoshino, Satoshi Nakamura, “Reflection-based Word Attribute Transfer,” Third International Workshop on Symbolic-Neural Learning (SNL2019), Jul. 2019
  • Ivan Halim Parmonangan, Hiroki Tanaka, Sakriani Sakti, Shinnosuke Takamichi, Satoshi Nakamura, “EEG Analysis Towards Evaluating Synthesized Speech Quality,” International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2019), Jul. 2019
  • Maejima, Hiroyuki Kubo, takuya funatomi, T. Yotsukura, Satoshi Nakamura, Mukaigawa Yasuhiro, “Graph Matching based Anime Colorization with Multiple References,” SIGGRAPH 2019, Jul. 2019
  • Satoshi Nakamura, “Toward Automatic Speech Interpretation,” CLI9, 14 Jun. 2019
  • Holy Lovenia, Hiroki Tanaka, Sakriani Sakti, Ayu Purwarianti, Satoshi Nakamura, “Speech Artifact Removal from EEG Recordings of Spoken Word Production with Tensor Decomposition,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2019), pp1115-1119, May. 2019
  • Andros Tjandra, Sakriani Sakti, Satoshi Nakamura, “End-to-end feedback loss in speech chain framework via straight-through estimator,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2019), May. 2019
  • Marco Vetter, Sakriani Sakti, Satoshi Nakamura, “Cross-lingual speech-based ToBI label generation using bidirectional LSTM,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2019), May. 2019
  • Koichiro Yoshino, Yukitoshi Murase, Nurul Lubis, Kyoshiro Sugiyama, Hiroki Tanaka, Sakriani Sakti, Shinnosuke Takamichi, Satoshi Nakamura, “Spoken Dialogue Robot for Watching Daily Life of Elderly People,” Spoken Dialogue Robot for Watching Daily Life of Elderly People” In Proceedings of International Workshop on Spoken Dialogue Systems Technology (IWSDS 2019) , Apr. 2019
  • Satoshi Nakamura, “Speech and Natural Language Processing for Japanese Language,” Digital revolution for under resourced language in Asia, 2019, Feb. 2019
  • Hisao Katsumi, Takuya Hiraoka, Koichiro Yoshino, Kazeto Yamamoto, Shota Motoura, Kunihiko Sadamasa, Satoshi Nakamura, “Optimization of Information-Seeking Dialogue Strategy for Argumentation-Based Dialogue System,” The Second AAAI Workshop on Reasoning and Learning for Human-Machine Dialogues, no.arXiv:1811.10728, 2019.1.27
  • Ryo Nakamura, Katsuhito Sudoh, Koichiro Yoshino, Satoshi Nakamura, “Another Diversity-Promoting Objective Function for Neural Dialogue Generation,” The Second AAAI Workshop on Reasoning and Learning for Human-Machine Dialogues, no.arXiv:1811.08100, 27 Jan. 2019
  • Hideki Ueda, Naoaki Ono, Masayasu Okochi, Shigehiko Kanaya, Akio Fukumori, “Precise prediction of cleavage site of Alzheimer’s disease relevant γ-secretase from the amino acid sequence by machine learnings,” GIW/ABACBS 2019, Dec. 2019
  • ALTAF-UL-AMIN, Mohammad Bozlul Karim, Pingzhao Hu, Naoaki Ono, Shigehiko Kanaya, “Discovery of Inflammatory Bowel Disease-associated miRNAs using a Novel Bipartite Clustering Approach,” GIW/ABACBS-2019, Dec. 2019
  • Jieying Hu, 黄 銘, 小野 直亮, Ye Chen-Izu, Leighton T. Izu, 金谷 重彦, “Cardiotoxicity Prediction Based on Integreted hERG Database with Molecular Convolution Model,” 2019 IEEE International Conference on Bioinformatics and Biomedicine, Nov. 2019
  • Shaikh Farhad Hossain, MD. ALTAF-UL-AMIN, Shigehiko Kanaya, Alex Ming Huang, Naoaki Ono, “Inter Disease Relations Based on Human Biomarkers by Network Analysis,” The 19th annual IEEE International Conference on Bioinformatics and Bioengineering, Oct. 2019
  • Alex Ming Huang, Koshiro Kido, Toshiyo Tamura, Naoaki Ono, MD. ALTAF-UL-AMIN, Shigehiko Kanaya, “Personal heart monitoring system based on non-contact sensing and deep learning,” 2019 International Symposium for Advanced Computing and Information Technology, Aug. 2019
  • Koshiro Kido, Naoaki Ono, MD. ALTAF-UL-AMIN, Shigehiko Kanaya, Alex Ming Huang, “The Feasibility of Arrhythmias Detection from a Capacitive ECG Measurement using Convolutional Neural Network,” 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 25 Jul. 2019
  • Ikuya Yamada, Shindo Hiroyuki, “Neural Attentive Bag-of-Entities Model for Text Classification ,” Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pp563-573, 3 Nov. 2019
  • Tatsuya Hiraoka, Shindo Hiroyuki, Yuji Matsumoto, “Stochastic Tokenization with a Language Model for Neural Text Classification ,” In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), 29 Jul. 2019
  • Hiroki Teranishi, Shindo Hiroyuki, Yuji Matsumoto, “Decomposed Local Models for Coordinate Structure Parsing ,” In Proceedings of the 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019), pp3394-3403, 5 Jun. 2019
  • Van-Hien Tran, Van-Thuy Phi, Shindo Hiroyuki, Yuji Matsumoto, “Relation Classification Using Segment-Level Attention-based CNN and Dependency-based RNN ,” In Proceedings of the 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019), pp2793-2798, 4 Jun. 2019
  • Ronen Tamari, Shindo Hiroyuki, Dafna Shahaf, Yuji Matsumoto, “Playing by the Book: An Interactive Game Approach for Action Graph Extraction from Text ,” NAACL 2019 Workshop on extracting structured knowledge from scientific publications (ESSP), pp62-71, 6 Jun. 2019
  • Yuta Kobayashi, Shindo Hiroyuki, Yuji Matsumoto, “Scientific Article Search System based on Discourse Facet Representation ,” In Proceedings of the 33rd AAAI Conference on Artificial Intelligence, (AAAI-2019), 29 Jan. 2019
  • Katsuyuki Kunida, Yuichi Sakumura, “Novel extraction method of molecular activity patterns controlling the cell morphological changes based on reverse correlation analysis,” 58th American Society for Cell Biology Annual Meeting (ASCB2019), 8 Dec. 2019
  • Kakeru Kosaka, Kazushi Ikeda, Yuichi Sakumura, “Estimation of intracellular key enzymes by applying machine learning algorithm,” The 20th International Conference on Systems Biology, 2 Nov. 2019
  • Shingo Shirone, Mutsumi Miyauchi, Kazuhisa Ouhara, Hidemi Kurihara, Takashi Takata, Hideyuki Hyogo, Toshio Ito, Wosuck Shin, Akiko Tanaka, Kazuo Sato, Kazushi Ikeda, Yuichi Sakumura, “Machine learning diagnosis of multiple liver-related diseases by exhaled breath gas components,” The 20th International Conference on Systems Biology, 2 Nov. 2019
  • Yuichi Sakumura, Katsuyuki Kunida, “Extraction of Biomolecular Signals Controlling Complex Behavior of Biological Cells,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2019, 18 Nov. 2019
  • Katsuyuki Kunida, Yuichi Sakumura, “Novel extraction method of molecular activity patterns that control cell morphological changes based on reverse correlation analysis,” Proceedings of the SICE Annual Conference 2019, 13 Sep. 2019
  • Swarit Jasial, ““Exploring Assay Interference Characteristics of Compounds Present in Screening Data”,” 第6回ケモインフォマティクス秋の学校, 29 Nov. 2019
  • Shunsuke Tamura, Tomoyuki Miyano, Kimito Funatsu, “Prediction method for active clifffs using machine learning,” 第6回ケモインフォマティクス秋の学校, 27 Nov. 2019
  • Tomoyuki Miyano, ““Evaluation of Different Ligand-Based Virtual Screening Strategies Using 2D/3D Molecular Representations”,” 第6回ケモインフォマティクス秋の学校, 28 Oct. 2019
  • Swarit Jasial, “Analysis of Pan-Assay Interference Compounds in Screening Data,” 1st NAIST International Symposium on Data Science, 11 Oct. 2019
  • Shinichiro AOSHIMA, Tomoyuki Miyano, Kimito Funatsu, “Soft sensor models for semi-batch reactors using Gaussian Process,” The 18th Asian Pacific Confederation of Chemical Engineering Congress(APCChE), 24 Sep. 2019

2018

  • Yutaro Koyama, Kazushi Ikeda, Yuichi Sakumura, Feature Selection Using Distance from Classification Boundary and Monte Carlo Simulation, International Conference on Neural Information Processing (ICONIP) 2018, 13-16 Dec. 2018, Siem Reap, Cambodia.
  • Go Sasakawa, Yasuaki Ishikawa, Daisuke Kobayashi, Naoaki Ono, Yukiharu Uraoka, and Hideaki Adachi, “Reliability Evaluation of Solar Cells Based on EL Analysis Using Convolutional Neural Network”, 7th Korea-Japan Joint Seminar on PV, P-29, 16-17 Nov. 2018, Seoul, South Korea
  • Go Sasakawa, Yasuaki Ishikawa, Daisuke Kobayashi, Naoaki Ono, Yukiharu Uraoka, and Hideaki Adachi, “Detection of Defective Solar Cells Based on EL Analysis Using Convolutional Neural Network”, 3rd International Workshop on the Sustainable Actions for “Year by Year Aging” under Reliability Investigations in Photovoltaic Modules, P-01, 30-31 Oct. 2018, Tsukuba, Japan
  • Nobutaka Wakamatsu, Mohammad Bozlul Karim, Shigehiko Kanaya* and MD. ALTAF-UL-AMIN*, “A Network based approach to predict functions of metabolites,” International Conference of Molecular Genetics, Metabolomics & Integrative Biology, Feb. 2018

国内学会、研究会、シンポジウム
2020年より本務教員の業績のみを掲載しています。兼務教員の業績は各研究室のページをご参照ください。

2020

  • 品川 政太朗, 久保 尋之, 石井 大地, 前島 謙宣, 舩冨 卓哉, 中村 哲, 向川 康博, “セマンティックセグメンテーションに基づくアニメ作品の自動彩色,” Visual Computing 2020, 2020.12
  • 佐賀健志, 田中宏季, 岩坂英巳, 中村 哲, “マルチモーダル情報を用いたソーシャルスキルの客観的推定,” HCGシンポジウム2020, 2020.12
  • 中野 佑哉, 河野 誠也, 吉野 幸一郎, 須藤 克仁, 中村 哲, “文構造に基づく質問文への曖昧性付与と質問生成,” 人工知能学会 言語・音声理解と対話処理研究会(SLUD)第90回研究会, 2020.11
  • 田中翔平, 吉野幸一郎, 須藤克仁, 中村哲, “対話エージェントの機能に着目した気の利いた応答を含むコーパスの収集,” 人工知能学会 言語・音声理解と対話処理研究会(SLUD)第90回研究会, 2020.11
  • 東 佑樹, Sakriani Sakti, 中村 哲, “音声の破損により失った文字情報を復元する音声認識 ,” 第133回音声言語情報処理研究発表会, 2020.10
  • 国広 有衣子, Sakriani Sakti, 須藤 克仁, 中村 哲, “文の構造を考慮した適切な韻律の音声合成,” 第133回音声言語情報処理研究発表会, 2020.10
  • 田中 宏季, “マルチモーダル対話エージェントによる認知症の早期検出,” 一般社団法人 電子情報技術産業協会、感性のセンシング・フィードバック技術分科会, 2020.9.29
  • 品川政太朗, 吉野幸一郎, Seyed Hossein Alavi, Kallirroi Georgila, David Traum, Sakriani Sakti, 中村哲, “自然言語による編集要求に対して効率的に確認を行う対話的画像編集システム,” 第23回 画像の認識・理解シンポジウム (MIRU), 2020.8
  • 須藤 克仁, “【招待講演】機械翻訳の進展と自動音声同時翻訳への挑戦,” (一社)日本翻訳連盟 JTF関西セミナー, 2020.8.19
  • 中野佑哉, 河野誠也, 吉野幸一郎, 中村哲, “対話によって曖昧性解消を行う質問応答,” 情報処理学会研究報告, vol.2020-NL-244, no.3, 2020.7
  • 宮本 佳奈, 田中宏季, 中村 哲, “感情誘導に向けた音楽生成及び脳波からの感情推定の検討.,” ヒューマン情報処理研究会 (HIP), 信学技報, vol.120, no.17, pp41-45, 2020.5
  • 森島僚平, 久保 尋之, 舩冨 卓哉, 品川政太朗, 前島謙宣, 中村 哲, 向川 康博, “アニメフレームの単純化を利用した深層学習による中割り生成,” 映像表現・芸術科学フォーラム2020, 2020.3
  • 池澤隼人, 舩冨 卓哉, 久保 尋之, 前島謙宣, 中村 哲, 向川 康博, “`グラフマッチングを用いた手描き線画間におけるストローク対応推定,” 映像表現・芸術科学フォーラム2020, 2020.3
  • 上沼睦典, 宮尾 知幸, 浦岡 行治, “ベイズ最適化によるSiO2/GaN界面の改質 ,” 先進パワー半導体分科会 第7回講演会 , 2020.12.9
  • 船津公人, “マテリアルズインフォマティクスの現状,” AndTechによるセミナー, 2020.9.29
  • 船津公人, “データ駆動型化学の展開,” サイエンス&テクノロジーによるセミナー, 2020.8.6
  • 船津公人, “マテリアルズインフォマティクスの基礎とポリマー材料設計への応用,” R&D支援センターによるセミナー, 2020.7.7
  • 船津公人, “データ駆動型化学の展開,” 日本触媒社内講演会, 2020.5.15
  • 宮尾知幸, “「化学構造生成器の開発と深層学習を利用した生成モデルについて」,” 「AIと有機合成化学」第4回公開講演会, 2020.2.3
  • 船津公人, “​高​分​子​材​料​設​計​に​お​け​る​マ​テ​リ​ア​ル​ズ​イ​ン​フ​ォ​マ​テ​ィ​ク​ス​適​用​の​最​新​動​向​ ,” 高​分​子​材​料​開​発​に​向​け​た​マ​テ​リ​ア​ル​ズ​・​イ​ン​フ​ォ​マ​テ​ィ​ク​ス​の​国​内​外​の​最​新​研​究​動​向​と​事​例, 2020.1.30
  • 野島秀雄, 中村哲, 船津公人, “データ駆動型サイエンス創造センターの創設による先端科学技術の教育研究改革,“ 研究・イノベーション学会第35回年次学術大会, ホットイシュー, ポストシンギュラリティ, 2020.11.1

2019

  • 中村暢明、西村珠子、末次志郎、”The roles of I-BAR domain proteins on the secretion of Wnts on microvesicles.”42回日本分子生物学会年会、2019.12.5、福岡国際会議場(福岡県福岡市)
  • 高橋茉奈美、西村珠子、塙京子、末次志郎、”Domain-specific regulation of microvesicle secretion by a protrusion-producing I-BAR domain protein”, IRSp53、第42回日本分子生物学会年会、2019.12.5、福岡国際会議場(福岡県福岡市)
  • 上田結奈、塙京子、西村珠子、稲葉岳彦、末次志郎、”I-BAR facilitates transport from the cytoplasm to the outside of the cell”、第42回日本分子生物学会年会、2019.12.5、福岡国際会議場(福岡県福岡市)
  • 西村珠子、大山拓也、Hooi Ting Hu、塙京子、末次志郎、”Microvesicle formation through the scission of plasma membrane by the I-BAR protein MIM”、第42回日本分子生物学会年会、2019.12.5、福岡国際会議場(福岡県福岡市) 
  • 末次志郎、西村珠子、重根桂、日朝祐太、大竹義人、佐藤嘉伸、”The possible applications of the data science to cell biology by a cell biologist”、第42回日本分子生物学会年会、2019.12.5、福岡国際会議場(福岡県福岡市) 
  • Hooi Ting HuTamako NishimuraShiro Suetsugu, “The interaction between I-BAR domain proteins and ALIX in the formation and release of extracellular vesicles”, 42回日本分子生物学会年会、2019.12.4、福岡国際会議場(福岡県福岡市)
  • 重根桂、西村珠子、日朝祐太、大竹義人、佐藤嘉伸、末次志郎、”Attempt to description of cell morphology based on the protein localization using machine learning”、第42回日本分子生物学会年会、2019.12.3、福岡国際会議場(福岡県福岡市)
  • 末次志郎、”脂質膜組成によるBARドメインタンパク質の脂質膜変形活性の変換”、第92回日本生化学会大会、2019. 9. 19、パシフィコ横浜(神奈川県横浜市)
  • 稲葉岳彦、北又学、木田和輝、末次志郎、”脂質膜組成によるエンドサイトーシスに関するタンパク質の活性変換”、第61回日本脂質生化学会、2019.7.5、北海道大学学術交流会館(北海道札幌市)
  • Shiro Suetsugu, “The mode switch of endophilin membrane deformation based on packing-defects and electrostatic charge”, 60回国際脂質生物学会ICBL2019, 2019.6.18, 一橋大学学術総合センター(東京都千代田区)
  • Shiro Suetsugu, “ The membrane re-modeling by the BAR domain superfamily proteins dependent on the composition of lipids “ , 71回日本細胞生物学会大会, 2019. 6. 26, 神戸国際会議場(兵庫県神戸市)
  • 北又学、塙京子、丸山耕平、末次志郎、“ANKHD1の新規小胞形成能と初期エンドソームの形態制御への関与の同定”、第71回日本細胞生物学会大会, 2019. 6. 25, 神戸国際会議場(兵庫県神戸市)
  • 宮尾知幸, “ Application of turbo similarity searching to molecular shape-based virtual screening , JCUP X, 23-24 May(2019), 東京
  • 宮尾知幸, “化学構造生成器の開発と深層学習を利用した生成モデルについて”,「AIと有機合成化学」第4回公開講演会, 3 February(2020), 東京

2018

  • 宮尾知幸, “インフォマティクスを化学の問題解決に活用する, フロー・マイクロ合成研究会 第81回研究会, 8 Feb.(2019), 大阪
  • 国田勝行, “Information transmission of insulin signal transduction based on live-cell sensing and information theoretic approach, 第9回定量生物学の会年会, 13-14 Jan. (2019), 大阪
  • 中村哲, “奈良先端大におけるディープラーニング活用とデータ駆動型サイエンス創造の取り組み,” 電子情報通信学会北陸支部講演会, 24 Jan. (2019), 福井
  • 野島秀雄,“研究IRに基づいた研究戦略の策定と実行”, RA協議会第4回年次大会, 19-20 Sep.(2018). 神戸
  • 石河泰明, “計算科学の新展開:デバイス開発への利用”,第8回 化学フェスタ ケモインフォマティクスが拓く高機能新素材の時代,  J3-08, 25 Oct. (2018), 東京
  • 石河泰明, “シリコン太陽電池発電機能の屋外検査技術開発”,次世代の太陽光発電システム175 委員会 次世代シリコン太陽電池分科会&モジュール・システム分科会 合同研究会, 3 , 23 Oct. (2018), 東京
  • 中村哲, “データ駆動型サイエンスに向けて ーNAISTの試みー”, 滋賀大学データサイエンスフォーラム2018「日本の大学及び大学院におけるデータサイエンス教育の現状と展望」, 29-30 Nov.(2018). 滋賀
  • 宮尾知幸, 船津公人, “リガンドベースのヴァーチャルスクリーニングにおけるコンフォメーションの影響とアンサンブル効果について”, 第41回ケモインフォマティクス討論会, 1A06, 26-27 Oct. (2018), 熊本
  • 宮尾知幸, “データ解析に基づく分子設計支援への取り組み”, 日本化学会秋季事業 第8回CSJ化学フェスタ2018, 23-26 Oct. (2018), 東京
  • 森 浩禎, 田中 雄一郎, Jonathan Monk, 武藤 愛, “Missing link of E. coli metabolic network”, 第91回日本生化学会大会, 3S03m-08, 24-26 Sep. (2018), 京都