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Makoto Fukumoto
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2020 – today
- 2024
- [c43]Makoto Fukumoto, Ibuki Oda:
A Feedback Method Adjusting Music Volume Based on User's Task Performance on Calculation. CISIM 2024: 154-165 - [c42]Makoto Fukumoto, Yuta Fukushima, Taichi Miyamoto:
Interactive Evolutionary Computation Improving Voice Impressions with Keeping Speaker Personality for Real-Time Speech. CISIM 2024: 347-358 - 2023
- [c41]Miko Yokoi, Yuki Fujioka, Yoshiko Hanada, Makoto Fukumoto:
Personalized Beverage Blending System Using Interactive Genetic Algorithm and Its Search Analysis. CISIM 2023: 496-508 - [c40]Makoto Fukumoto, Yoshiko Hanada:
Creation of Delicious Mixed Juices for Multiple Users based on Distributed Interactive Genetic Algorithm. SMC 2023: 2433-2438 - [e1]Khalid Saeed, Jirí Dvorský, Nobuyuki Nishiuchi, Makoto Fukumoto:
Computer Information Systems and Industrial Management - 22nd International Conference, CISIM 2023, Tokyo, Japan, September 22-24, 2023, Proceedings. Lecture Notes in Computer Science 14164, Springer 2023, ISBN 978-3-031-42822-7 [contents] - 2022
- [c39]Makoto Fukumoto, Taichi Miyamoto, Haoran Gan:
A Proposal for Creating Congruent Content of Different Media Types by Interactive Evolutionary Computation. IIAI-AAI 2022: 587-592 - [c38]Haroran Gan, Makoto Fukumoto:
Composition of Musical Piece Suited to Natural Sound by Interactive GA using User's EEG as Fitness. IIAI-AAI 2022: 593-596 - [c37]Makoto Fukumoto, Yoshiko Hanada:
Using Suggestion Information in Exchange Solutions between Users in Interactive Evolutionary Computation Creating Blended Juices. SCIS/ISIS 2022: 1-6 - [c36]Zhen Nan, Makoto Fukumoto:
ASMR Sound Generation Simulating the Sounds Heard by a Fetus Using Interactive Evolutionary Computation. SCIS/ISIS 2022: 1-4 - [c35]Rina Obata, Kei Ohnishi, Makoto Fukumoto, Miho Ohsaki:
Experiment to Investigate Awareness of Tastes for Users in Interactive Evolutionary Computation. SCIS/ISIS 2022: 1-6 - [c34]Makoto Fukumoto, Sakura Ichikawa:
Investigation of Musical Factors Affecting Walking Speed with the Same Tempo. SNPD-Summer 2022: 160-165 - [c33]Makoto Fukumoto, Hirohisa Konishi:
Adjustment of Interval of Voices in Cognitive Shuffle Method by Body Movement Feedback with Binaural Sound. SNPD-Summer 2022: 166-171 - 2021
- [c32]Makoto Fukumoto, Seishiro Yoshimitsu:
Search for a Flavor Suited to Beverage by Interactive Genetic Algorithm. CISIM 2021: 185-192 - [c31]Makoto Fukumoto, Haoran Gan, Yoshiko Hanada:
A Proposal of Interactive Tabu Search for Creating Beverage by Blending Source Juices. CYBCONF 2021: 95-100 - [c30]Makoto Fukumoto:
The Efficiency of Interactive Differential Evolution on Creation of ASMR Sounds. ICSI (1) 2021: 368-375 - 2020
- [c29]Makoto Fukumoto, Koki Hijikuro:
Optimization of Sound of Autonomous Sensory Meridian Response with Interactive Genetic Algorithm. SCIS/ISIS 2020: 1-6 - [c28]Yusuke Yabuzaki, Yoshiko Hanada, Makoto Fukumoto:
Verification of performance of Multi-Parental Real-Valued Crossover in Interactive Genetic Algorithm. SCIS/ISIS 2020: 1-6
2010 – 2019
- 2019
- [c27]Asami Inoue, Makoto Fukumoto:
A Proposal of Creating Ideal UTAU Voice Based on Voice of the User's Own Key by Interactive Differential Evolution. CSII 2019: 56-59 - [c26]Makoto Fukumoto, Yoshiko Hanada:
A Proposal for Creation of Beverage Suited for User by Blending Juices based on Interactive Genetic Algorithm. SMC 2019: 1104-1109 - [c25]Genki Yamaguchi, Makoto Fukumoto:
A Music Recommendation System based on Melody Creation by Interactive GA. SNPD 2019: 286-290 - [c24]Makoto Fukumoto:
Triple Comparison-based Interactive Differential Evolution for Creating Sign Sound. SNPD 2019: 291-296 - 2018
- [j5]Kota Nomura, Makoto Fukumoto:
Music Melodies Suited to Multiple Users' Feelings Composed by Asynchronous Distributed Interactive Genetic Algorithm. Int. J. Softw. Innov. 6(2): 26-36 (2018) - [c23]Makoto Fukumoto, Kota Nomura:
A proposal for distributed interactive differential evolution: in a case of creating sign sounds for multiple users. GECCO (Companion) 2018: 125-126 - [c22]Asami Inoue, Kota Nomura, Makoto Fukumoto:
Creation of Ideal User's Voice Using User's own UTAU Voice and Interactive Genetic Algorithm. SCIS&ISIS 2018: 559-563 - 2017
- [c21]Kota Nomura, Makoto Fukumoto:
Asynchronous distributed interactive genetic algorithm for creating music melody reflecting multiple users' feelings. SNPD 2017: 645-650 - [c20]Makoto Fukumoto, Kota Nomura:
A proposal of interactive Tabu Search with paired comparison and differential vector for creating fragrance. SNPD 2017: 663-668 - 2016
- [c19]Makoto Fukumoto, Takeshi Hatanaka:
Parallel distributed Interactive Genetic Algorithm for composing music melody suited to multiple users' feelings. ICIS 2016: 1-6 - [c18]Makoto Fukumoto:
Creation of Warning Sound by Vote of Multiple Users Based on Interactive Differential Evolution: Discussion toward Effective IECs Creating of Media Contents Suited to Multiple Users. SCIS&ISIS 2016: 862-867 - 2015
- [c17]Makoto Fukumoto, Makoto Inoue, Shimpei Koga, Jun-ichi Imai:
Interactive differential evolution using time information required for user's selection: In a case of optimizing fragrance composition. CEC 2015: 2192-2198 - [c16]Makoto Fukumoto, Shimpei Koga:
Investigation of efficiency of manipulation in Interactive Tabu Search for optimizing fragrance composition. CEC 2015: 2589-2594 - [c15]Makoto Fukumoto, Yuuki Tsukino:
Relationship of Terror Feelings and Physiological Response During Watching Horror Movie. CISIM 2015: 500-507 - 2014
- [c14]Makoto Fukumoto:
User's manual operation for vectors in interactive differential evolution for optimizing fragrance composition. GrC 2014: 61-65 - [c13]Makoto Fukumoto, Shimpei Koga:
A Proposal for User's Intervention in Interactive Evolutionary Computation for Optimizing Fragrance Composition. HCI (26) 2014: 85-89 - [c12]Shimpei Koga, Makoto Fukumoto:
A Creation of Music-Like Melody by Interactive Genetic Algorithm with User's Intervention. HCI (26) 2014: 523-527 - [c11]Makoto Fukumoto:
Creation of Music Chord Progression Suited for User's Feelings Based on Interactive Genetic Algorithm. IIAI-AAI 2014: 757-762 - 2013
- [j4]Makoto Fukumoto, Ryota Yamamoto, Shintaro Ogawa:
The Efficiency of Interactive Differential Evolution in Creation of Sound Contents: In Comparison with Interactive Genetic Algorithm. Int. J. Softw. Innov. 1(2): 16-27 (2013) - [c10]Makoto Fukumoto, Takafumi Ienaga:
A Proposal for Optimization Method of Vibration Pattern of Mobile Device with Interactive Genetic Algorithm. HCI (11) 2013: 264-269 - [c9]Makoto Fukumoto, Makoto Inoue, Keiji Kawai, Jun-ichi Imai:
Interactive Tabu Search with Paired Comparison for Optimizing Fragrance. SMC 2013: 1690-1695 - 2012
- [c8]Makoto Fukumoto, Ryota Yamamoto, Shintaro Ogawa:
The Efficiency of Interactive Differential Evolution in Creation of Sound Contents: In Comparison with Interactive Genetic Algorithm. SNPD 2012: 25-30 - 2011
- [j3]Makoto Fukumoto, Shuta Nakashima, Shintaro Ogawa, Jun-ichi Imai:
An Extended Interactive Evolutionary Computation Using Heart Rate Variability as Fitness Value for Composing Music Chord Progression. J. Adv. Comput. Intell. Intell. Informatics 15(9): 1329-1336 (2011) - [c7]Makoto Fukumoto, Shintaro Ogawa:
An Efficiency of Optimization Method of Sign Sound Using Interactive Differential Evolution. INCoS 2011: 546-551 - [c6]Makoto Fukumoto, Shintaro Ogawa:
A proposal for optimization of sign sound using interactive differential evolution. SMC 2011: 1370-1375 - 2010
- [j2]Makoto Fukumoto, Kazuhisa Matsuo:
Effects of musical tempo on multiple subjective impressions. Int. J. Biom. 2(2): 124-133 (2010) - [c5]Makoto Fukumoto, Yusuke Imamura, Makoto Inoue, Jun-ichi Imai:
Convergence of Vectors in Paired Comparison-based Interactive Differential Evolution for Creating Scent. 3PGCIC 2010: 440-445 - [c4]Shuta Nakashima, Yusuke Imamura, Shintaro Ogawa, Makoto Fukumoto:
Generation of Appropriate User Chord Development Based on Interactive Genetic Algorithm. 3PGCIC 2010: 450-453 - [c3]Makoto Fukumoto, Makoto Inoue, Jun-ichi Imai:
User's favorite scent design using paired comparison-based Interactive Differential Evolution. IEEE Congress on Evolutionary Computation 2010: 1-6 - [c2]Makoto Fukumoto, Shintaro Ogawa, Shuta Nakashima, Jun-ichi Imai:
Extended Interactive Evolutionary Computation using heart rate variability as fitness value for composing music chord progression. NaBIC 2010: 407-412 - [c1]Makoto Fukumoto:
Interactive Evolutionary Computation utilizing subjective evaluation and physiological information as evaluation value. SMC 2010: 2874-2879
2000 – 2009
- 2003
- [j1]Yoshiyuki Kusunoki, Makoto Fukumoto, Tomomasa Nagashima:
A Statistical Method of Detecting Synchronization for Cardio-Music Synchrogram. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(9): 2241-2247 (2003)
Coauthor Index
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