Publication

Journal

International Conference (Peer-reviewed)

  • Y. Ishii, A. Sugiyama, K. Fukushima, R. Okada, and T. Nakanishi, “A Learning Enhancement System for Learner’s Community ,” in R. Lee (Ed.), Software Engineering and Management: Theory and Application, Studies in Computational Intelligence, vol. 3, no. 2, pp. 399-300. 1137, Springer, Cham, pp. 15, 2024. https://doi.org/10.1007/978-3-031-55174-1_15.
  • R. Ohnishi, R. Okada, Y. Murakami, T. Nakanishi, T. Ozawa, Y. Ogasawara, K. Ohashi. in a Series of Group Works by Time-series Feature Comparison Method,” 2023 15th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter), Bali, Indonesia, 2024, pp. 69-74, https://doi.org/10.1109/IIAI-AAI-Winter61682.2023.00021.
  • M. Momozawa, R. Okada, A. Minematsu and T. Nakanishi, “Off-Rhythm Detection System for Beginner Violinists,” 2023 15th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter), Bali, Indonesia, 2024, pp. 360-365, https://doi.org/10.1109/IIAI-AAI-Winter61682.2023.00072.
  • R. Fukui, R. Okada, A. Minematsu and T. Nakanishi, “Country by Country Comparison of Thumbnail Features Contributing to Views Using AIME for YouTube,” 2023 15th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter), Bali, Indonesia, 2024, pp. 342-347, . 342-347, https://doi.org/10.1109/IIAI-AAI-Winter61682.2023.00069.
  • A. Minematsu and T. Nakanishi, “A Factor Extraction of Preference in Musical Performances Using AIME with Focus on Time-Series Derivative Features,” 2023 15th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter), Bali, Indonesia, 2024, pp. 312- 317, . 317, https://doi.org/10.1109/IIAI-AAI-Winter61682.2023.00064.[Competitive Paper Award]
  • A. Sugiyama, R. Okada, A. Minematsu and T. Nakanishi, “A Complexity Feature Extraction Method by Chord Progression and Transition Density for Music Media Content,” 2023 15th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter), Bali, Indonesia, 2024, pp. 187-192. 2024, pp. 187-192, https://doi.org/10.1109/IIAI-AAI-Winter61682.2023.00043.
  • Y.Ohkawa, T.Nakanishi, Anomaly Detection Through Graph Autoencoder Based Learning of Screenshot Image Logs, In Proceedings of 2024 IEEE 18th International Conference on Semantic Computing (ICSC), pp. 65-68, 2024, https://doi.org/10.1109/ICSC59802.2024.00016.
  • T. Ohno, Y.Hoshino, T. Nakanishi, Temporal Analysis of Editorial Trends in Major Newspapers Following the Prime Minister’s Speech, In Proceedings of 2024 IEEE 18th International Conference on Semantic Computing (ICSC), pp. 148-151, 2024, https://doi.org/10.1109/ICSC59802.2024. 00029.
  • F. Cheng and T. Nakanishi, “A Keyword Transition Extraction Method for Time-series Text Data and Its Application to Discovering the Transition of Key Technology Elements in Japan,” 2023 14th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), Koriyama, Japan, pp. 100-105, 2023. Koriyama, Japan, pp. 100-105, 2023. https://doi.org/10.1109/IIAI-AAI59060.2023.00029
  • R. Ohnishi, Y. Murakami, T. Nakanishi, R. Okada, T. Ozawa, K. Fukushima, T. Miyamae, Y. Ogasawara, K. Akiyama, K. Ohashi, Time-Series Multidimensional In: Lee, R. (eds) Software Engineering, Artificial Intelligence, Networking and Parallel/ Studies in Computational Intelligence, vol 1086. Springer, Cham. 2023. https://doi.org/10.1007/978-3-031-26135-0_6
  • K. Komiya, R. Okada, A. Minematsu, T. Nakanishi, Automatic Piano Accompaniment Generation Method by Drum Rhythm Features with Selectable Difficulty Level. In: Lee, R. (eds) Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2022-Winter. Studies in Computational Intelligence, vol 1086. Springer, Cham. 2023. https://doi.org/10.1007/978-3-031-26135-0_2
  • T. Nitta, S. Hagimoto, K. Miyamura, R. Okada, T. Nakanishi, Time-Series Flexible Resampling for Continuous and Real-Time Finger Character Recognition , 2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT’22), pp. 357-363, February 2023. February 2023. https://doi.org/10.1109/WI-IAT55865.2022.00059
  • Y. Noji, R. Okada, T. Nakanishi, Represent Score as the Measurement of User Influence on Twitter. Studies in Computational Intelligence, vol 1074. Springer, Cham. 2023. h ttps:// doi.org/10.1007/978-3-031-19604-1_3
  • S. Hagimoto, T. Nitta, R. Okada, T. Nakanishi, A Dynamic Finger Character Recognition Method using Landmark Behavior Rule Base, in Proceedings of 2022 13th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter), pp.189-195, 2022, https://doi.org/10.1109/IIAI-AAI-Winter58034.2022.00045. [acceptance rate:37.3%]
  • S. Liu, T. Nakanishi, Obstacles Detection and Motion Estimation by using Multiple Lidar Sensors Data, in Proceedings of the 2022 13th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter), pp. 196-201, 2022, https://doi.org/10.1109/IIAI-AAI-Winter58034.2022. 00046. [acceptance rate:37.3%]
  • K. Sano, K. Ojima, R. Okada, T. Nakanishi, A Method for Predicting Sudden/Cyclic Stress using Vital Data and the Realization of a Tracking Mental Management Robot, in Proceedings of 2022 13th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter), pp. 202-207, 2022, 2022. https://doi.org/10.1109/IIAI-AAI-Winter58034.2022.00047. [acceptance rate:37.3%]
  • M. Iwamoto, K. Ojima, R. Okada, T. Nakanishi, Emotion Estimation Method by Convolutional Neural Network for Heartbeat Vital Data, in Proceedings of 2022 13th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter), pp.245-250, 2022, https://doi.org/10.1109/IIAI-AAI-Winter58034.2022.00055. [acceptance rate:37.3%] [Best Student Paper Award]
  • Y. Ohkawa, T. Nakanishi, Detection Method of User Behavior Transition on Computer. In: Chen, W., Yao, L., Cai, T., Pan, S., Shen, T., Li, X. (eds) Advanced Data Mining and Applications. ADMA 2022. Lecture Notes in Computer Science, vol 13726. Springer, Cham. 2022. https://doi.org/10.1007/978-3-031- 22137-8_6
  • T. Inari, T. Nakanishi, Concentration Patterns Estimation Method in Deskwork by Using Time-series k-means, In Proceedings of 2022 International Electronics Symposium (IES), pp. 576-580, 2022. https://doi.org/10.1109/IES55876.2022.988831.
  • S. Tamaru, H. Taki, R. Usuki, T. Nakanishi, Recipe Recommendation Method by Similarity Measure with Food Image Recognition, In Proceedings of 2022 the 6 th International Conference on Information System and Data Mining (ICISDM 2022). Association for Computing Machinery, New York, NY, USA, pp. 81-88, 2022. https://doi.org/10.1145/3546157.3546170
  • A. Ikegami, T. Nakanishi, Interpretable Predictive Results in Classification of Waka Poets, In Proceedings of the 12th IIAI International Congress on Advanced Applied Informatics (IIAI AAI 2022), pp. 436-442, 2022. https://doi.org/10.1109/IIAIAAI55812.2022.00092 [acceptance rate 33.5%]
  • H. Nakata, T. Nakanishi, Music Recommendation Method for Time-Series Emotions from Lyrics using Valence-Arousal-Dominance Model, In Proceedings of the the 12th IIAI International Congress on Advanced Applied Informatics (IIAI AAI 2022), pp. 443-448, 2022. https://doi.org/10.1109/IIAIAAI55812.2022.00093 [acceptance rate 33.5%] [Honorable Mention Award]
  • R. Hirano, R. Okada, T. Nakanishi, Extraction Method for Important Words as a Viewer’s Reaction Arousal Factor from YouTube – Transcription, In Proceedings of the 12th IIAI International Congress on Advanced Applied Informatics (IIAI AAI 2022), pp. 651-222, 2022. Transcription, In Proceedings of the 12th IIAI International Congress on Advanced Applied Informatics (IIAI AAI 2022), pp. 651-652, 2022. https://doi .org/10.1109/IIAIAAI55812.2022.00129 (Poster Abstract)
  • Y. Ishii, T. Nakanishi, R. Okada and A. Minematsu, “Tourist Spots Recommendation Method Corresponding to Place Names Appearing in Novel Contents,” 2022 7th International Conference on Business and Industrial Research (ICBIR), pp. 192-197,2022. https://doi.org/10.1109/ICBIR54589.2022.9786468
  • K. Sano, K. Ojima, T. Nakamura, R. Okada, T. Nakanishi, A Method for Estimating Emotions Using HRV for Vital Data and Its Application to Self-mentalcare Management System, in Tokuro Matsuo (editor) Proceedings of the 11th International Congress on Advanced Applied Informatics, EPiC Series in Computing Vol 81, pp. 89-100, 2022. https://doi.org/10.29007/fp2d
  • Y. Ishii, A. Ikegami, T. Nakanishi, Realization of Discovery for Burst Topic Transition Using the Topic Change Point Detection Method for Time-Series Text Data, in Tokuro Matsuo (editor) Proceedings of the 11th International Congress on Advanced Applied Informatics, EPiC Series in Computing, Vol 81, pp, 362-372, 2022. Vol 81, pp. 362-372, 2022. https://doi.org/10.29007/k8pb
  • A. Ikegami, R. Okada, T.Nakanishi, The Discovery of Historical Transition in Aesthetic Notions Through Changes in Co-occurrence Words Mainly Used in Waka Poetry in Three Major Poetry Anthologies. In: Lee R. (eds) Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. SNPD 2021. Studies in Computational Intelligence, vol 1012. Springer, Cham, 2022. https://doi.org/10.1007/978-3-030-92317-4_12
  • H. Nakata, T. Nakanishi, Music Impression Extraction Method By chord Impressions and Its Application to Music Media Retrieval, in Proceedings of the 22nd IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2021 Fall), pp. 68-73, 2021, https://doi.org/10.1109/IIAIAAI55812.2022.00093.
  • K. Miyamura, R. Okada, T. Nakanishi, Mashuprium and Timeline Visualization: Implementation of 3D Space and Timeline Visualization for Automatic Mashup Creation, In Proceedings of the 10th International Congress on Applied Information Technology (IIAI AAI 2021), pp. 804-809, 2021, https://doi. org/10.1109/IIAI-AAI53430.2021.00141.[acceptance rate 33.6%]
  • A. Yanase, T. Nakanishi, Musical Impression Extraction Method by Discovering Relationships between Acoustic Features and Impression Terms, In Proceedings of the 10th International Congress on Applied Information Technology (IIAI AAI 2021), pp.810-807, 2021, https://doi.org/10.1109/IIAI-AAI53430.2021.00142.[acceptance rate 33.6%] [Honorable Mention Award]
  • K. Miyamura, R. Okada, T. Nakanishi, Automatic Music Mashup Creation Method by Similarity of Features, In proceedings of 20th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2021 Summer),pp.35-40, 2021, https://doi.org/10.1109/ICIS51600.2021.9516600.
  • S. Hagimoto, T. Nitta, A. Yanase, T. Nakanishi, R. Okada, V. Sornlertlamvanich, Knowledge Base Creation by Reliability of Coordinates Detected from Videos for Finger Character Recognition, In proc. of 19th IADIS International Conference e-Society 2021, FSP 5.1-F144, pp. 169-176, 2021.
  • T. Nitta, S. Hagimoto, A. Yanase, T. Nakanishi, R. Okada, V. Sornlertlamvanich, Finger Character Recognition in Sign Language Using Finger Feature Knowledge Base for Similarity Measure, In Proceedings of the 3rd IEEE/IIAI International Congress on Applied Information Technology (IEEE/IIAI AIT 2020), 2020, https://doi.org/10.1109/WI-IAT55865.2022.00059. [Best Paper Award]

Domestic Conference (non-peer-reviewed)