publications

Published Papers:

• 1. Yoshitatsu Matsuda and Kazunori Yamaguchi (2022) . Unique Estimation in EEG Analysis by the Ordering ICA.  PLoS ONE 17(10): e0276680. Ref. Code

  2. Yoshitatsu Matsuda, Takayuki Sekiya, and Kazunori Yamaguchi (2018) . Curriculum Analysis of Computer Science Departments by Simplified, Supervised LDA. Journal of Information Processing, 26, 497-508. Ref.

  3. Yoshitatsu Matsuda and Kazunori Yamaguchi (2018) . A Unifying Objective Function of Independent Component Analysis for Ordering Sources by Non-Gaussianity. IEEE Transactions on Neural Networks and Learning Systems, 29 (11), 5630-5642. Ref. Code

  4. Yoshitatsu Matsuda, Kazunori Yamaguchi, and Ken-ichiro Nishioka (2015) . Discovery of Regular and Irregular Spatio-Temporal Patterns from Location-Based SNS by Diffusion-Type Estimation. IEICE Transactions on Information and Systems, E98-D (9), 1675-1682.

  5. Yoshitatsu Matsuda and Kazunori Yamaguchi (2012) . Global Mapping Analysis: Stochastic Gradient Algorithm in Multidimensional Scaling. IEICE Transactions on Information and Systems, E95-D (2), 596-603.

  6. Yoshitatsu Matsuda and Kazunori Yamaguchi (2011) . An Adaptive Threshold in Joint Approximate Diagonalization by Assuming Exponentially Distributed Errors. Neurocomputing, 74, 1994-2001.

  7. Yoshitatsu Matsuda and Kazunori Yamaguchi (2009) . Linear Multilayer ICA Using Adaptive PCA. Neural Processing Letters, 30 (2), 133-144.

  8. Yoshitatsu Matsuda and Kazunori Yamaguchi (2007) . Linear Multilayer ICA Generating Hierarchical Edge Detectors. Neural Computation, 19 (1), 218-230.

  9. Yoshitatsu Matsuda and Kazunori Yamaguchi (2005) . An efficient MDS-based topographic mapping algorithm. Neurocomputing, 64, 285-299.

  10. Yoshitatsu Matsuda and Kazunori Yamaguchi (2001) . Global mapping analysis: Stochastic approximation for multidimensional scaling. International Journal of Neural Systems, 11 (5), 419-426.

Proceedings of International Conference:

• 1. Takayuki Sekiya, Yoshitatsu Matsuda, and Kazunori Yamaguchi (2022). Improvements of a Hybrid Syllabus Search Tool by Syllabus-related Heuristics. FIE2022, IEEE, 1-8.

  2. Kazunori Yamaguchi, Yoshitatsu Matsuda, and Yuya Morinaga (2022). Averaging Solution of Differential Equations as Value for Argumentation Graph with Similarity. KES2022, Procedia Computer Science, Volume 207, ELSEVIER, 614-623. Ref.

  3. Taisuke Kawamata, Yoshitatsu Matsuda, Takayuki Sekiya, and Kazunori Yamaguchi (2021). Analysis of Computer Science Textbooks by Topic Modeling and Dynamic Time Warping. TALE2021, IEEE, 865-870.

  4. Kazunori Yamaguchi and Yoshitatsu Matsuda (2021), Cost-based Framework for Natural Language Argumentation Analysis. ITHET2021, IEEE, 1-10.

  5. Takayuki Sekiya, Tomohiro Tatejima, Yoshitatsu Matsuda, and Kazunori Yamaguchi (2021) . A Proposal for a Hybrid Syllabus Search Tool that Combines Keyword Search and Content Based Classification. EDUCON2021, IEEE, 398-403.

  6. Yoshitatsu Matsuda (2020) . Optimization of Search Space for Finding Very Short Lattice Vectors. IWSEC2020, LNCS 12231, Springer-Verlag, 149-161.

  7. Takayuki Sekiya, Yoshitatsu Matsuda, and Kazunori Yamaguchi (2019) . Investigation on University Web Sites for Semi-automated Syllabus Crawling. FIE2019, Cincinnati, Ohio, USA, IEEE, 1-7.

  8. Yoshitatsu Matsuda, Tadanori Teruya, and Kenji Kashiwabara (2019) . Efficient Estimation of Number of Short Lattice Vectors in Search Space under Randomness Assumption. APKC2019, Auckland, New Zealand, ACM, 13-22. Ref.

  9. Ikumi Horie and Yoshitatsu Matsuda (2018) . Improvement of Interactive Learning Support System with Adaptive Vocabulary Lists. CSCI2018, Las Vegas, Nevada, USA, IEEE, 590-595.

  10. Yoshitatsu Matsuda, Takayuki Sekiya, and Kazunori Yamaguchi (2017) . Discovery of Interconnection among Knowledge Areas of Standard Computer Science Curricula by a Data Science Approach. ICONIP2017, Guangzhou, China, LNCS 10638, Springer-Verlag, 186-195.

  11. Takayuki Sekiya, Yoshitatsu Matsuda, and Kazunori Yamaguchi (2017) . A Web-based Curriculum Engineering Tool for Investigating Syllabi in Topic Space of Standard Computer Science Curricula. FIE2017, Indianapolis, Indiana, USA, IEEE, 1-9.

  12. Yoshitatsu Matsuda and Kazunori Yamaguchi (2017) . Efficient Optimization of the Adaptive ICA Function with Estimating the Number of Non-Gaussian Sources. LVA/ICA2017, Grenoble, France, LNCS 10169, Springer-Verlag, 469-478.

  13. Ken-ichiro Nishioka, Yoshitatsu Matsuda, and Kazunori Yamaguchi (2016) . User Location Prediction by Diffusion-type Estimation using Location-based SNS Check-in Data. Proceedings of iThings2016, Chengdu, China, IEEE, 14-19.

  14. Yoshitatsu Matsuda and Kazunori Yamaguchi (2016) . Gram-Schmidt Orthonormalization to the Adaptive ICA Function for Fixing the Permutation Ambiguity. ICONIP2016, Kyoto, Japan, LNCS 9948, Springer-Verlag, 152-159.

  15. Yoshitatsu Matsuda and Kazunori Yamaguchi (2016) . Adaptive Objective Function of ICA by Gaussian Approximation in Second-order Polynomial Feature Space. Proceedings of IJCNN2016, Vancouver, Canada, IEEE, 2382-2389.

  16. Yoshitatsu Matsuda and Kazunori Yamaguchi (2015) . Objective Function of ICA with Smooth Estimation of Kurtosis. ICONIP2015, Istanbul, Turkey, LNCS 9491, Springer-Verlag, 164-171.

  17. Ken-ichiro Nishioka, Yoshitatsu Matsuda, and Kazunori Yamaguchi (2015) . Discovery of Localized Spatio-temporal Patterns from Location-based SNS by Clustering Users. Proceedings of IJCNN2015, Killarney, Ireland, IEEE, 1-8.

  18. Takayuki Sekiya, Yoshitatsu Matsuda, and Kazunori Yamaguchi (2015) . Curriculum Analysis of CS Departments Based on CS2013 by Simplified, Supervised LDA. Proceedings of LAK2015, New York, USA, ACM, 330-339.

  19. Takayuki Sekiya, Yoshitatsu Matsuda, and Kazunori Yamaguchi (2014) . Mapping Analysis of CS2013 by Supervised LDA and Isomap. Proceedings of TALE2014, Wellington, New Zealand, IEEE, 33-40.

  20. Yoshitatsu Matsuda, Kazunori Yamaguchi, and Ken-ichiro Nishioka (2014) . Discovery of Spatio-temporal Patterns from Foursquare by Diffusion-type Estimation and ICA. ICANN2014, Hamburg, Germany, LNCS 8681, Springer-Verlag, 765-772.

  21. Ikumi Horie, Kazunori Yamaguchi, Kenji Kashiwabara, and Yoshitatsu Matsuda (2014) . Improvement of Difficulty Estimation of Personalized Teaching Material Generator by JACET. ITHET2014, York, England, IEEE, 1-8.

  22. Yoshitatsu Matsuda and Kazunori Yamaguchi (2013) . Ensemble Joint Approximate Diagonalization by an Information Theoretic Approach. ICONIP2013, Daegu, Korea, LNCS 8228, Springer-Verlag, 309-316.

  23. Yoshitatsu Matsuda and Kazunori Yamaguchi (2012) . A Robust Objective Function of Joint Approximate Diagonalization. ICANN2012, Lausanne, Switzerland, LNCS 7553, Springer-Verlag, 205-212.

  24. Yoshitatsu Matsuda and Kazunori Yamaguchi (2011) . An Information Theoretic Approach to Joint Approximate Diagonalization. ICONIP2011, Shanghai, China, LNCS 7062, Springer-Verlag, 20-27.

  25. Yoshitatsu Matsuda and Kazunori Yamaguchi (2010) . Partial Extraction of Edge Filters by Cumulant-based ICA. ICONIP2010, Sydney, Australia, LNCS 6444, Springer-Verlag, 633-640.

  26. Yoshitatsu Matsuda and Kazunori Yamaguchi (2010) . A Probabilistic Framework for Joint Approximate Diagonalization. Proceedings of IJCNN2010, Barcelona, Spain, IEEE, 364-369.

  27. Takayuki Sekiya, Yoshitatsu Matsuda, and Kazunori Yamaguchi (2010) . Analysis of Computer Science Related Curriculum on LDA and Isomap. ITiCSE2010, Ankara, Turkey, ACM, 48-52.

  28. Takayuki Sekiya, Yoshitatsu Matsuda, and Kazunori Yamaguchi (2010) . Development of a Curriculum Analysis Tool. ITHET2010, Cappadocia, Turkey, IEEE, 413-418.

  29. Takayuki Sekiya, Yoshitatsu Matsuda, and Kazunori Yamaguchi (2009) . Analysis of Curriculum Structure Based on LDA. International Conference on Education and Information Technology, USA, 561-566.

  30. Yoshitatsu Matsuda and Kazunori Yamaguchi (2009) . An Adaptive Threshold in Joint Approximate Diagonalization by the Information Criterion. ICONIP2009, Bangkok, Thailand, LNCS 5863, Springer-Verlag, 204-211.

  31. Yoshitatsu Matsuda and Kazunori Yamaguchi (2009) . Joint Approximate Diagonalization Utilizing AIC-based Decision in the Jacobi Method. ICANN2009, Limassol, Cyprus, LNCS 5769, Springer-Verlag, 135-144.

  32. Yoshitatsu Matsuda and Kazunori Yamaguchi (2009) . A Simple Overcomplete ICA Algorithm by Non-Orthogonal Pair Optimizations. Proceedings of IJCNN2009, Atlanta, Georgia, USA, IEEE, 2027-2031.

  33. Takayuki Sekiya, Yoshitatsu Matsuda, and Kazunori Yamaguchi (2008) . Systematization of Course Syllabi Based on LDA. SCIS&ISIS2008, Nagoya, Japan, 166-171.

  34. Yoshitatsu Matsuda and Kazunori Yamaguchi (2008) . An Overcomplete ICA Algorithm by InfoMax and InfoMin. ICANN2008, Prague, Czech, LNCS 5163, Springer-Verlag, 136-144.

  35. Yoshitatsu Matsuda and Kazunori Yamaguchi (2008) . A Connection-limited Neural Network by Infomax and Infomin. Proceedings of IJCNN2008, Hong Kong, IEEE, 2531-2537.

  36. Yoshitatsu Matsuda and Kazunori Yamaguchi (2007) . Extraction of Approximate Independent Components from Large Natural Scenes. ICONIP2007, Kitakyushu, Japan, LNCS 4984, Springer-Verlag, 635-642.

  37. Yoshitatsu Matsuda and Kazunori Yamaguchi (2006) . A Fixed-Point Algorithm of Topographic ICA. ICANN2006, Athens, Greece, LNCS 4132, Springer-Verlag, 587-594.

  38. Yoshitatsu Matsuda and Kazunori Yamaguchi (2006) . The InfoMin Principle for ICA and Topographic Mappings. ICA2006, Charleston, SC, USA, LNCS 3889, Springer-Verlag, 958-965.

  39. Yoshitatsu Matsuda and Kazunori Yamaguchi (2005) . An efficient MDS algorithm for the analysis of massive document collections. KES2005, Melbourne, Australia, LNAI 3682, Springer-Verlag, 1015-1021.

  40. Yoshitatsu Matsuda and Kazunori Yamaguchi (2005) . Linear multilayer independent component analysis for large natural scenes. NIPS2004, Vancouver, Canada, Advances in Neural Information Processing Systems 17, MIT Press, 897-904.

  41. Yoshitatsu Matsuda and Kazunori Yamaguchi (2004) . Linear multilayer independent component analysis using stochastic gradient algorithm. ICA2004, Granada, Spain, LNCS 3195, Springer-Verlag, 303-310.

  42. Yoshitatsu Matsuda and Kazunori Yamaguchi (2004) . Semi-invariant function of Jacobi algorithm in independent component analysis. Proceedings of 2004 IEEE International Joint Conference on Neural Networks (IJCNN2004), Budapest, Hungary, IEEE, 2147-2151.

  43. Yoshitatsu Matsuda and Kazunori Yamaguchi (2003) . The InfoMin criterion: An information theoretic unifying objective function for topographic mappings. Artificial Neural Network and Neural Information Processing - ICANN/ICONIP 2003, Istanbul, Turkey, LNCS 2714, Springer-Verlag, 401-408.

  44. Yoshitatsu Matsuda and Kazunori Yamaguchi (2003) . Linear multilayer ICA algorithm integrating small local modules. Proceedings of ICA2003, Nara, Japan, 403-408.

  45. Yoshitatsu Matsuda and Kazunori Yamaguchi (2001) . The InfoMin principle: A unifying information-based criterion for forming topographic mappings. Proceedings of ICONIP2001, Shanghai, China, 14-19.

  46. Yoshitatsu Matsuda and Kazunori Yamaguchi (2001) . Global mapping analysis: Stochastic gradient algorithm in SSTRESS and classical MDS stress. Proceedings of ICONIP2001, Shanghai, China, 102-107.

Misc:

• 1. Taisuke Kawamata, Ayami Honda, and Yoshitatsu Matsuda (2021) . Improved System for Identification of Live Music Performances by Dynamic Time Warping.  The Journal of the Faculty of Science and Technology, Seikei University, 58 (2), 1-6. Ref.

  2. Yoshitatsu Matsuda, Tadanori Teruya, and Kenji Kasiwabara (2018) . Estimation of the success probability of random sampling by the Gram-Charlier approximation. Cryptology ePrint Archive, Report 2018/815. Ref.

Ph.D. Thesis:

• 1. Yoshitatsu Matsuda (2002) . Model and applications of the global topographic mapping formation.

© Yoshitatsu Matsuda