Takaaki Teshima, Masahiro Niitsuma, Hidekazu Nishimura, Gender affects perception and movement times during non-critical takeovers in conditionally automated driving,Transportation Research Part F: Traffic Psychology and Behaviour,, Volume 106, 2024,Pages 400-417,ISSN 1369-8478.
Y. Yeo and M. Niitsuma., Proposal of An Integral Model of Human-Food Interaction: Insights for Social Systems Design, International Journal of Agile Systems Management (IJASM), Vol. 17(5), 2024, DOI: 10.1504/IJASM.2024.10065834
Takaaki Teshima, Masahiro Niitsuma, Hidekazu Nishimura, Determining the onset of driver’s preparatory action for take-over in automated driving using multimodal data,Expert Systems with Applications, Volume 246, 2024, 123153, ISSN 0957-4174.
M. Niitsuma, L. Schomaker, J.-P. Van, Oosten , Y. Tomita, and D. Bell, "Musicologist-driven writer identification in early music manuscripts",Multimedia Tools and Applications, 75(11), pp.6463–6479, 2016
M. Niitsuma, M. Matsubara, M. Oono, and H. Saito,"Development of a method for automatic basso continuo playing", Information Processing & Management, vol. 47, no. 3, pp. 440–451", 2011
K. Y. LUNG and M. Niitsuma., How to Prevent Short-Term Usage: Clarifying Wearer Requirements through Model-Based Systems Approach and the Mind-Only School Perspective, ISTE Transdisciplinary Engineering Conference, July 9 – 11, 2024, London, UK.
Y. Yeo and M. Niitsuma., Reframing the Role of Behavioural Interventions: Dominant Views and New Directions, ISTE Transdisciplinary Engineering Conference, July 9 – 11, 2024, UCL East, London.
K. Y. LUNG and M. Niitsuma., A Model-Based Systems Approach to Clarify the Interaction between Wearer and Sustainable Fashion System (Poster Presentation), International Foundation of Fashion Technology Institutes (IFFTI) Conference 2024, Apr 22 – 26, 2024, Seoul, Korea.
Y. Yeo and M. Niitsuma., Developing the System Model of Human Behaviour and Its Implications on Social Systems Design, ISTE Transdisciplinary Engineering Conference, July 11 – 14, 2023, Hua Hin, Thailand.
Y. Yeo and M. Niitsuma., A Primer on the Integral Viewpoint of a Human to Facilitate Human-Centred Innovation,ISTE Transdisciplinary Engineering Conference, July 11 – 14, 2023, Hua Hin, Thailand.
N.Tonami, K. Imoto, M.Niitsuma, R.Yamanishi, Y.Yamashita, “Joint Analysis of Acoustic Events and Scenes Based on Multitask Learning.”, WASPAA 2019: 338-342, New Paltz, NY, USA.
K.Makino, M.Niitsuma, K.Imoto and Y.Yamashita, Investigating the Auditory Effects of Neighbor Tones, Proc. International Conference on Music Perception and Cognition / Triennial conference of the European Society for the Cognitive Sciences of Music (2018.6).
M.Niitsuma, K.Imoto and Y.Yamashita, Identifying Individualities of Unconscious Movements While Music Performance Based on a Directional Tendency of the Lumbosacral Plexus Proc. International Conference on Music Perception and Cognition / Triennial conference of the European Society for the Cognitive Sciences of Music (2018.6).
K.Imoto, N.Ono, M.Niitsuma and Y.Yamashita, Online Sound Structure Analysis Based on Generative Model of Acoustic Feature Sequences, Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2017), pp.1-6 (2017.12).
A.Morimoto, M.Niitsuma and Y.Yamashita, Age estimation in Japanese speech based on feature selection, 5th Joint Meeting of the Acoustical Society of America and Acoustical Society of Japan, 5pSCb31 (2016.12).
Y.Yamamoto, M.Niitsuma and Y.Yamashita, Automatic recognition of negative emotion in speech using support vector machine, 5th Joint Meeting of the Acoustical Society of America and Acoustical Society of Japan, 5aSC49 (2016.12).
C.Terayama, M.Niitsuma and Y.Yamashita, Development of a communication system using audio signal using audible frequency bands, 5th Joint Meeting of the Acoustical Society of America and Acoustical Society of Japan, 2aSPb37 (2016.11).
M. Niitsuma, L. Schomaker, Y. Tomita, and J.-P. van Oosten, “Writer identification in old music manuscripts using Contour-Hinge feature and dimensionality reduction with an autoencoder,” in Proceedings of 15th international conference on Computer Analysis of Images and Patterns (CAIP2013), Lecture Notes in Computer Science vol. 8048, pp. 555–562.
C. Bohak, M. Niitsuma, and M. Marolt, “Controlling Mozart’s Dice Music Using Acceleration Sensors,” in Proceeding of International Computer Music Conference 2012 (ICMC2012), pp. 293–296.
M. Niitsuma, Y. Tomita, Y. Weiqi, and D. Bell, “Classifying Bach’s Handwritten C-clefs,” in Proceedings of International Conference on Music Information Retrieval 2011 (ISMIR2011), pp. 417–421.
M. Niitsuma, T. Fujinami, and Y. Tomita, “The Intersection of Computational Analysis and Music Manuscripts: A New Model for Bach Source Studies of the 21st Century,” in Proceedings of 9th International Conference on Music Information Retrieval (ISMIR2009)
M. Niitsuma, H. Takaesu, H. Demachi, M. Oono, and H. Saito, “An Automatic Music Selection System Reflecting Users ’ Running Speed,” in Proceedings of International Symposium on Computer Music Modeling and Retrieval 2008 (CMMR2008), pp. 223–231.
M. Niitsuma, H. Takaesu, H. Demachi, M. Oono, and H. Saito, “Development of an Automatic Music Selection System Based on the Runner’s Step Frequency,” in Proceedings of International Conference on Music Information Retrieval 2008 (ISMIR2008)
M. Niitsuma, M. Matsubara, and H. Saito, “Development of an Automatic Basso Continuo Playing System for Baroque Music Perfomers,” in Proceedings of 10th International Conference on Music Perception and Cognition (ICMPC2008)
M. Niitsuma and H. Saito, “Automatic Thorough-Bass Realization in Baroque Music,” in Proceedings of International Computer Music Conference 2007 (ICMC2007), pp. 425–428.