T. Nitta, S. Hagimoto, A. Yanase, R. Okada, V. Sornlertlamvanich, T. Nakanishi, Realization for Finger Character Recognition Method by Similarity Measure of Finger Features, International Journal of Smart Computing and Artificial Intelligence, Vol. 3, No. 2, pp. 399-300, 2008. 6 No. 1, 2022. https://doi.org/10.52731/ijscai.v6.i1.684
T. Nakanishi, R. Okada, R. Nakahodo, Semantic Waveform Measurement Method of Kansei Transition for Time-series Media Contents, International Journal of Smart Computing and Artificial Intelligence,International Institute of Applied Informatics, Vol. of Smart Computing and Artificial Intelligence,International Institute of Applied Informatics, Vol. 3, No. 2, pp. 399-300, 2008. 5, No. 1, pp. 51 – 66, 2021. https://doi.org/10.52731/ijscai.v5.i1.631
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)
Koki Sudo, Takafumi Nakanishi, Ryutaro Okada, Ayako Minematsu, Multi-layer warning recognition system for supporting the hearing impaired in stations, 16th Forum on Data Engineering and Information Management (DEIM) 2024), T4-B-1-05, 2024.
A. Saeki, R. Okada, A. Minematsu, and T. Nakanishi, Automatic accompaniment composition method based on acoustic feature similarity specialized for piano performance for music media contents, 16th Forum on Data Engineering and Information Management (DEIM2024), T4-A-2-05, 2024. [Student Presentation Award]
Hiromu Abe, Einosuke Inui, Ayaaki Saeki, Naoki Tsunohisa, and Takafumi Nakanishi, A Method for Evaluating Machine Learning Model Behavior with Incomplete Data Using Approximate Inverse Model Explanations (AIME), 16th Forum on Data Engineering and Information Management (DEIM 2024), T1-A-4-01, 2024.
Tsubuhisa, Naoki, Ryutaro Okada, Ayako Minematsu, and Takafumi Nakanishi, A Method for Extracting Factors Affecting Changes in Cabinet Approval Ratios Using Approximate Inverse Model Explanations (AIME), 16th Forum on Data Engineering and Information Management (DEIM2024), T1-A-5-03, 2024 T1-A-5-03, 2024.
Ayako Sugiyama, Ryutaro Okada, Ayako Minematsu, Takafumi Nakanishi, Complexity Extraction Method Using Code Features for Musical Media Contents, 22nd Forum on Information Technology (FIT2023), CE-011, 2023
TAMARU, Shodai, OKADA, Ryutaro, MINEMATSU, Ayako, and NAKANISHI, Takafumi, Feature Extraction Method for Policy Comparison of Diet Members Using Diet Proceedings Data (Kokugaku Gijutsu Data o mochiita Shiji no Bunseki), Shinrigaku Giho, vol.123, no.80, DE2023-6, pp.27-32, 2023.
Mimi Momozawa, Ryutaro Okada, Ayako Minematsu, and Takafumi Nakanishi, Realization of a Rhythmic Accuracy Visualization Method by Automatic Extraction of Rhythmic Features from Violin Performance Source Data, 15th Forum on Data Engineering and Information Management (DEIM2023), 4a-4-2, 2023. [Student Presentation Award]
Tomonatsu Moriya, Ryutaro Okada, Ayako Minematsu, and Takafumi Nakanishi, A New Automatic Playlist Generation Method Using Music Feature Distance Measurement for Music Media Contents, 15th Forum on Data Engineering and Information Management (DEIM2023), 4a-4-5, 2023.
Rinka Yamaguchi, Ryutaro Okada, Ayako Minematsu, and Takafumi Nakanishi, Slideshow Video Media Contents Generation Method Matching Beat Features of Musical Media Contents, 15th Forum on Data Engineering and Information Management (DEIM2023), 4a-5-1, 2023.
K. Fujimori, R. Okada, A. Minematsu, and T. Nakanishi, A menu suggestion method to optimize nutrient intake according to seasonal ingredients, 15th Forum on Data Engineering and Information Management (DEIM2023), 4a-5-3, 2023.
Aoki, J., Okada, R., Minematsu, A., Nakanishi, T., An optimal voice actor recommendation method matching dialogue content and voice impression, 15th Forum on Data Engineering and Information Management (DEIM2023), 4b-7-2, 2023.
Ryoto Kirishima, Ryutaro Okada, Ayako Minematsu, and Takafumi Nakanishi, Integrated search method based on municipal attributes and issue similarity for MaaS precedents, 15th Forum on Data Engineering and Information Management (DEIM2023), 5c-8-2, 2023.
Rintaro Fukui, Ryutaro Okada, Ayako Minematsu, and Takafumi Nakanishi, Extraction of important words contributing to the number of views using SHAP for text data in thumbnails of video posting services, 15th Forum on Data Engineering and Information Management (DEIM2023), 4a-9-3, 2023.
M. Nishiyama, R. Okada, A. Minematsu, and T. Nakanishi, A Language-by-Language Feature Word Extraction Method for Comments on Multilingual YouTube Contents, The 85th National Convention of Information Processing Society of Japan, 4P-07, 2023.
Chie Kamigaki, Takafumi Nakanishi, Ryutaro Okada, Ayako Minematsu, MusiColor Chart : Segmentation and Visualization Method of Musical Music by Acoustic Features for Musical Media Contents, The 85th National Convention of Information Processing Society of Japan, 7T-05, 2023.
Akane Yoshii, Ryutaro Okada, Ayako Minematsu, Takafumi Nakanishi, Emotionally Important Keywords Extraction Method Using Human Expression Recognition for Video Media Contents, 85th National Convention of Information Processing Society of Japan, 7ZB-01, 2023.
Hidekazu Suzuki, Takafumi Nakanishi, Ryutaro Okada, Ayako Minematsu, Performance Procedure Estimation Method Using LSTM for Drum Score Data, The 85th National Convention of Information Processing Society of Japan, 4ZE-05, 2023.
Harone Arakage, Ryutaro Okada, Ayako Minematsu, and Takafumi Nakanishi, Automatic Tone Determination Method for Arranging Piano Music for Electone Performance, 21st Forum on Information Technology (FIT2022), CE-008, vol.2, pp.85-89, 2022.
Tomonatsu Moriya, Ryutaro Okada, Ayako Minematsu, and Takafumi Nakanishi, A New Automatic Playlist Generation Method Mimicking Acoustic Feature Transition of Music Playlist, 21st Forum on Information Technology (FIT2022), CE-009, vol.2, pp.91-96, 2022.
Tomoei Kuroki, Ryutaro Okada, Ayako Minematsu, and Takafumi Nakanishi, Trend Topic Extraction Visualization Method for Twitter Data (in Japanese), Technical Report of the Institute of Social Science and Technology, vol.122, no.88, DE2022-5, pp.25-30, 2022.
Tomoei Kuroki, Ryutaro Okada, Ayako Minematsu, and Takafumi Nakanishi, Trend Topic Extraction Method by Difference of Response Counts to Tweet on Twitter Data, The 84th National Convention of Information Processing Society of Japan, 7N-01, 2022.
Ken Murata, Ryutaro Okada, Ayako Minematsu, and Takafumi Nakanishi, A Music Recommendation Method by Time Series Similarity Based on Story Development of Lyrics, The 84th National Convention of Information Processing Society of Japan, 6N-03, 2022. [Student Incentive Award]
Yosuke Yamamoto, Takafumi Nakanishi, Ryutaro Okada, Ayako Minematsu, Kick Motion Similarity Scoring for Soccer on Video Media Contents, 84th National Convention of Information Processing Society of Japan, 4ZE-03, 2022.
Jyanta Aoki, Ryutaro Okada, Ayako Minematsu, and Takafumi Nakanishi, Impression Estimation Method by Feature Analysis of Voice Quality for Voice Data, 84th National Convention of Information Processing Society of Japan, 2R-01, 2022.
N. Arima, R. Okada, A. Minematsu, and T. Nakanishi, Recipe Data Retrieval Method by Measuring Similarity between Dishes Based on Ingredients and Their Cooking Methods, The 84th National Convention of Information Processing Society of Japan, 1N-08, 2022.
Shodai Tamaru, Hitoe Kawagoe, Ryutaro Okada, and Takafumi Nakanishi, A New Automatic Generation Method of Edo Komon Design by Falling Motion Simulation, 84th National Convention of Information Processing Society of Japan, 2ZL-06, 2022.
Takuma Iwasaki, Ryutaro Okada, Ayako Minematsu, Takafumi Nakanishi, A Game Recommendation Method Based on Similar User Play History for Game Review Data, 84th National Convention of Information Processing Society of Japan, 7N-05, 2022.
Ryuichi Hirano, Takafumi Nakanishi, Ryutaro Okada, Face Type Estimation of Characters with Script Input for Casting Support, The 84th National Convention of Information Processing Society of Japan, 6V-06, 2022.
Rintaro Fukui, Takafumi Nakanishi, Ryutaro Okada, Comparative Visualization Method of User and Athlete Body Movements Using Skeletal Features for Jump Training Support, 84th National Convention of Information Processing Society of Japan, 5ZD-03, 2022
Hiromasa Yasuhara, Takafumi Nakanishi, Ryutaro Okada, Ayako Minematsu, A Method for Extracting Topics Linked to Exchange Rates from Comments by VIPs, 84th National Convention of Information Processing Society of Japan, 2M-09, 2022.
Hiho Yamauchi, Takafumi Nakanishi, Ryutaro Okada, Ayako Minematsu, Automatic Synthesis System of Cooking Sounds and BGM Matching the Image of Cooking, 84th National Convention of Information Processing Society of Japan, 6N-05, 2022.
Nanto Baba, Ryutaro Okada, Ayako Minematsu, and Takafumi Nakanishi, Construction of a Music Recommendation System Matching Impressions Caused by Color Features of Video Media Contents for Music Media Contents, The 84th National Convention of Information Processing Society of Japan, 6N-06, 2022.
A. Kumada, T. Nakanishi, R. Okada, and A. Minematsu, A facial expression exaggeration generation method for conveying emotion in communication with virtual avatars, 84th National Convention of Information Processing Society of Japan, 2ZF-05, 2022.
Mami Ueda, Takafumi Nakanishi, Ryutaro Okada, Ayako Minematsu, A Recommendation Method of Abstract Paintings Matching Users’ Preferences Applying Cuckoo Search Algorithm, The 84th National Convention of Information Processing Society of Japan, 7K-05, 2022.[Student Incentive Award].
T. Kitamura, R. Okada, A. Minematsu, and T. Nakanishi, Automatic function generation using structural similarity based on syntax tree representation of source code, 14th Forum on Data Engineering and Information Management (DEIM2022), J24-4, 2022.
Y. Ishii, A. Ikegami, R. Okada, N. Kawagoe, and T. Nakanishi, Automatic Design Generation Method by Synthesizing Two Japanese Patterns and Color Impressions Recalled from Words, 14th Forum on Data Engineering and Information Management (DEIM2022), C33-4, 2022.
Rikito Onishi, Ryutaro Okada, Hitoe Kawagoe, and Takafumi Nakanishi, Automatic Illustration Generation Method for Representing Story Scenes in Novels, 14th Forum on Data Engineering and Information Management (DEIM2022), E33-2, 2022.
Tomona Nagata, Rintaro Nakadori, Ryutaro Okada, Hitoe Kawagoe, and Takafumi Nakanishi, A similar novel retrieval method focusing on emotional transition for novel contents, 14th Forum on Data Engineering and Information Management (DEIM2022), C34-5, 2022.
M. Takahashi, R. Okada, A. Minematsu, and T. Nakanishi, Memory Recall Support Method by Odor Similarity Measurement for Image Media Contents, 14th Forum on Data Engineering and Information Management (DEIM2022), F41-2, 2022.[DEIM Student Presentation Award]
K. Komiya, R. Okada, A. Minematsu, and T. Nakanishi, A piano accompaniment generation method for reproducing rhythm parts with selectable difficulty for musical pieces, 14th Forum on Data Engineering and Information Management (DEIM2022), K41-4, 2022.
Seiya Shimokawa, Ryutaro Okada, and Takafumi Nakanishi, Automatic Generation of Base Phrases with Selectable Difficulty Based on Complexity Estimation of Phrase Patterns, 20th Forum on Information Technology (FIT2021), E-014, 2021
M. Iwamoto, K. Kojima, R. Okada, T. Nakanishi, Vital Memorial Signs: A Memory Recall Deepening System by Linking Vital Data and Albums, Symposium on Multimedia, Distributed, Cooperative and Mobile (DICOMO2021), 3A-2, pp.509 -516, 2021.
Tadahisa Sekido, Ryutaro Okada, and Takafumi Nakanishi, Topic Tendency Extraction Method in Data Science Field by Social Listening, Symposium on Multimedia, Distributed, Cooperative and Mobile (DICOMO2021), 2F-4, pp.425-430, 2021.
Yasei Koga, Ryutaro Okada, Takafumi Nakanishi, A Tone Recommendation Scheme Matching Target Users in Conversations on NS, Symposium on Multimedia, Distributed, Cooperative and Mobile (DICOMO2021), 5H-1, pp. 1095-1101, 2021.
Aiba Ikegami, Yudai Ishii, Muguta Kita, Takafumi Nakanishi, Opinion Extraction Method Focusing on Distinctive Expressions in Text Data, Proceedings of the 83rd National Convention, 2021(2), 541-542, 2021.
H. Kasai, R. Okada, and T. Nakanishi, A hierarchical similarity metric method for retrieving mathematics teaching materials based on hierarchical relations, Proceedings of the 83rd National Convention, 2021(1), 165-166, 2021.
Y. Ishii, R. Okada, and T. Nakanishi, Trajectory map summarization method for text data including spatio-temporal information, Proceedings of the 83rd National Convention, 2021(2), 553-554, 2021.[Student Encouragement Award].
Shodai Tamaru, Ryutaro Okada, and Takafumi Nakanishi, A Method for Extracting Differences in Meanings of the Same Word across Fields for Text Data in Different Fields, Proceedings of the 83rd National Convention, 2021(2), 549-550, 2021.
Yusuke Nakagome, Ryutaro Okada, and Takafumi Nakanishi, Implementation of a multimodal video game recommendation system based on image and text data, Proceedings of the 83rd National Convention, 2021(2), 385-386, 2021.
Tadaki Murakami, Ryutaro Okada, Takafumi Nakanishi, Takatsugu Kitagawa, Clade-specific risk analysis of novel coronaviruses by integration of JHU CSSE repository data and SARS-CoV-2 genome data, Proceedings of the 83rd National Conference, 2021(4), 473-474, 2021.
S. Tazawa, R. Okada, and T. Nakanishi, Time Series Topic Transition Extraction Method by Topic Model for SNS, Proceedings of the 83rd National Convention, 2021(2), 401-402, 2021.
Bong-Tong Lee, Ryutaro Okada, Takafumi Nakanishi, Ichiro Yamashita, and Jun Miyazaki, A Study on Digital Posture Correction System Using Dlib and OpenPose, Proceedings of the 83rd National Convention, 2021(2), 503-504, 2021.
M. Murayama, R. Okada, and T. Nakanishi, A study of bulletin board type task management application with task hierarchy function, Proceedings of the 83rd National Convention, 2021(4), 153-154, 2021.
M. Nagasaki, R. Okada, T. Nakanishi, Surrounding Topic Notifier: An Implementation of Community Collaboration Support Application for Team Communication Tools, Proceedings of the 83rd National Convention, 2021(2), 519-520, 2021.
Koharu Sano, Taikiru Nakamura, Ryutaro Okada, and Takafumi Nakanishi, Implementation of an Alternative Emotion Expression Mechanism for ALS Patients, 13th Forum on Data Engineering and Information Management, DEIM Forum 2021 C21-4, 2021.[DEIM Student Presentation Award]
Himawari Otsuka, Yasuhiro Hayashi, Ryutaro Okada, Takafumi Nakanishi, Color Selection by Adjectives Using Color Image Scale and its Application to Image Retrieval System, 13th Forum on Data Engineering and Information Management, DEIM Forum 2021 D21-3, 2021.
Riko Watanabe, Ryutaro Okada, and Takafumi Nakanishi, Realization of an Unpleasant Sound Avoidance System for Hearing-Sensitive People Using Voice Feature Correlation Analysis, 13th Forum on Data Engineering and Information Management, DEIM Forum 2021 C24-4, 2021.[DEIM Student Presentation Award]
Ryoka Maei, Ryutaro Okada, and Takafumi Nakanishi, Automatic Character PV Generation Method Matching the Word Impression of Lyrics, 13th Forum on Data Engineering and Information Management, DEIM Forum 2021 D24-1, 2021.
T. Inari, R. Okada, and T. Nakanishi, Construction of a music recommendation system using time series topic analysis of lyrics, 13th Forum on Data Engineering and Information Management, DEIM Forum 2021 D25-2, 2021.[DEIM Student Presentation Award]
S. Murata, R. Okada, F. Sasaki, and T. Nakanishi, Time Series Sensory Color Representation Method for Songs Focusing on Words in Lyrics, 13th Forum on Data Engineering and Information Management, DEIM Forum 2021 D25-4, 2021.
Aiba Ikegami, Ryutaro Okada, and Takafumi Nakanishi, Discovery of Aesthetic Concept Transition by Co-occurrence Word Change in Three Major Poetry Anthologies, The 13th Forum on Data Engineering and Information Management, DEIM Forum 2021 H31-2, 2021.[DEIM Student Presentation Award]
Yota Nakamura, Ryutaro Okada, and Takafumi Nakanishi, Hand Tile Estimation Using Similarity Scheme of Unwanted Tiles in Mahjong, Symposium on Multimedia, Distributed, Cooperative and Mobile (DICOMO2020), 8H-3, pp. 1576 – 1583, 2020
Yuto Kimura, Ryutaro Okada, Takafumi Nakanishi, A method for extracting musical media content impression based on color information of image media content, 12th Forum on Data Engineering and Information Management, DEIM Forum 2020, C1-3, 2020
Rintaro Nakadonari, Ryutaro Okada, and Takafumi Nakanishi, Story Signature: A Visualization Method for Searching Similar Novels by Extracting Story Development Features, 12th Forum on Data Engineering and Information Management, DEIM Forum 2020 A7-3, 2020.[Online Presentation Award].