Yoshitatsu Matsuda

50 papers A 1B 8C 6Misc 1Journal 12Unranked 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
Differential equation based on cost for recursive argumentation graph (DECRAG): Continuous framework for recursive bipolar argumentation with similarity.
Argument Comput.
Kazunori Yamaguchi, Yoshitatsu Matsuda
2024 J jnl
Efficient Estimation of Unique Components in Independent Component Analysis by Matrix Representation.
CoRR
Yoshitatsu Matsuda, Kazunori Yamaguchi
2022 B conf
Averaging Solution of Differential Equations as Value for Argumentation Graph with Similarity.
KES
Kazunori Yamaguchi, Yoshitatsu Matsuda, Yuya Morinaga
2022 C conf
Improvements of a Hybrid Syllabus Search Tool by Syllabus-related Heuristics.
FIE
Takayuki Sekiya, Yoshitatsu Matsuda, Kazunori Yamaguchi
2021 C conf
A Proposal for a Hybrid Syllabus Search Tool that Combines Keyword Search and Content Based Classification.
EDUCON
Takayuki Sekiya, Tomohiro Tatejima, Yoshitatsu Matsuda, Kazunori Yamaguchi
2021 — conf
Analysis of Computer Science Textbooks by Topic Modeling and Dynamic Time Warping.
TALE
Taisuke Kawamata, Yoshitatsu Matsuda, Takayuki Sekiya, Kazunori Yamaguchi
2021 — conf
Cost-based Framework for Natural Language Argumentation Analysis.
ITHET
Kazunori Yamaguchi, Yoshitatsu Matsuda
2020 Misc conf
Optimization of Search Space for Finding Very Short Lattice Vectors.
IWSEC
Yoshitatsu Matsuda
2019 — conf
Efficient Estimation of Number of Short Lattice Vectors in Search Space under Randomness Assumption.
APKC@AsiaCCS
Yoshitatsu Matsuda, Tadanori Teruya, Kenji Kashiwabara
2019 C conf
Investigation on University Websites for Semi-automated Syllabus Crawling.
FIE
Takayuki Sekiya, Yoshitatsu Matsuda, Kazunori Yamaguchi
2018 J jnl
A Unifying Objective Function of Independent Component Analysis for Ordering Sources by Non-Gaussianity.
IEEE Trans. Neural Networks Learn. Syst.
Yoshitatsu Matsuda, Kazunori Yamaguchi
2018 J jnl
Curriculum Analysis of Computer Science Departments by Simplified, Supervised LDA.
J. Inf. Process.
Yoshitatsu Matsuda, Takayuki Sekiya, Kazunori Yamaguchi
2018 J jnl
Estimation of the Success Probability of Random Sampling by the Gram-Charlier Approximation.
IACR Cryptol. ePrint Arch.
Yoshitatsu Matsuda, Tadanori Teruya, Kenji Kashiwabara
2017 C conf
A web-based curriculum engineering tool for investigating syllabi in topic space of standard computer science curricula.
FIE
Takayuki Sekiya, Yoshitatsu Matsuda, Kazunori Yamaguchi
2017 — conf
Discovery of Interconnection Among Knowledge Areas of Standard Computer Science Curricula by a Data Science Approach.
ICONIP (5)
Yoshitatsu Matsuda, Takayuki Sekiya, Kazunori Yamaguchi
2017 — conf
Efficient Optimization of the Adaptive ICA Function with Estimating the Number of Non-Gaussian Sources.
LVA/ICA
Yoshitatsu Matsuda, Kazunori Yamaguchi
2016 B conf
Adaptive objective function of ICA by Gaussian approximation in second-order polynomial feature space.
IJCNN
Yoshitatsu Matsuda, Kazunori Yamaguchi
2016 — conf
Gram-Schmidt Orthonormalization to the Adaptive ICA Function for Fixing the Permutation Ambiguity.
ICONIP (2)
Yoshitatsu Matsuda, Kazunori Yamaguchi
2016 — conf
User Location Prediction by Diffusion-Type Estimation Using Location-Based SNS Check-in Data.
iThings/GreenCom/CPSCom/SmartData
Ken-ichiro Nishioka, Yoshitatsu Matsuda, Kazunori Yamaguchi
2015 A conf
Curriculum analysis of CS departments based on CS2013 by simplified, supervised LDA.
LAK
Takayuki Sekiya, Yoshitatsu Matsuda, Kazunori Yamaguchi
2015 J jnl
Discovery of Regular and Irregular Spatio-Temporal Patterns from Location-Based SNS by Diffusion-Type Estimation.
IEICE Trans. Inf. Syst.
Yoshitatsu Matsuda, Kazunori Yamaguchi, Ken-ichiro Nishioka
2015 B conf
Discovery of localized spatio-temporal patterns from location-based SNS by clustering users.
IJCNN
Ken-ichiro Nishioka, Yoshitatsu Matsuda, Kazunori Yamaguchi
2015 — conf
Objective Function of ICA with Smooth Estimation of Kurtosis.
ICONIP (3)
Yoshitatsu Matsuda, Kazunori Yamaguchi
2014 C conf
Discovery of Spatio-Temporal Patterns from Foursquare by Diffusion-type Estimation and ICA.
ICANN
Yoshitatsu Matsuda, Kazunori Yamaguchi, Ken-ichiro Nishioka
2014 — conf
Improvement of difficulty estimation of personalized teaching material generator by JACET.
ITHET
Ikumi Horie, Kazunori Yamaguchi, Kenji Kashiwabara, Yoshitatsu Matsuda
2013 — conf
Ensemble Joint Approximate Diagonalization by an Information Theoretic Approach.
ICONIP (3)
Yoshitatsu Matsuda, Kazunori Yamaguchi
2012 — conf
A Robust Objective Function of Joint Approximate Diagonalization.
ICANN (2)
Yoshitatsu Matsuda, Kazunori Yamaguchi
2012 J jnl
Global Mapping Analysis: Stochastic Gradient Algorithm in Multidimensional Scaling.
IEICE Trans. Inf. Syst.
Yoshitatsu Matsuda, Kazunori Yamaguchi
2011 — conf
An Information Theoretic Approach to Joint Approximate Diagonalization.
ICONIP (1)
Yoshitatsu Matsuda, Kazunori Yamaguchi
2011 J jnl
An adaptive threshold in joint approximate diagonalization by assuming exponentially distributed errors.
Neurocomputing
Yoshitatsu Matsuda, Kazunori Yamaguchi
2010 B conf
A probabilistic framework for joint approximate diagonalization.
IJCNN
Yoshitatsu Matsuda, Kazunori Yamaguchi
2010 B conf
Analysis of computer science related curriculum on LDA and Isomap.
ITiCSE
Takayuki Sekiya, Yoshitatsu Matsuda, Kazunori Yamaguchi
2010 — conf
Partial Extraction of Edge Filters by Cumulant-Based ICA under Highly Overcomplete Model.
ICONIP (2)
Yoshitatsu Matsuda, Kazunori Yamaguchi
2009 B conf
A simple overcomplete ICA algorithm by non-orthogonal pair optimizations.
IJCNN
Yoshitatsu Matsuda, Kazunori Yamaguchi
2009 — conf
An Adaptive Threshold in Joint Approximate Diagonalization by the Information Criterion.
ICONIP (1)
Yoshitatsu Matsuda, Kazunori Yamaguchi
2009 — conf
Joint Approximate Diagonalization Utilizing AIC-Based Decision in the Jacobi Method.
ICANN (2)
Yoshitatsu Matsuda, Kazunori Yamaguchi
2009 J jnl
Linear Multilayer ICA Using Adaptive PCA.
Neural Process. Lett.
Yoshitatsu Matsuda, Kazunori Yamaguchi
2008 B conf
A connection-limited neural network by InfoMax and InfoMin.
IJCNN
Yoshitatsu Matsuda, Kazunori Yamaguchi
2008 — conf
An Overcomplete ICA Algorithm by InfoMax and InfoMin.
ICANN (1)
Yoshitatsu Matsuda, Kazunori Yamaguchi
2007 — conf
Extraction of Approximate Independent Components from Large Natural Scenes.
ICONIP (1)
Yoshitatsu Matsuda, Kazunori Yamaguchi
2007 J jnl
Linear Multilayer ICA Generating Hierarchical Edge Detectors.
Neural Comput.
Yoshitatsu Matsuda, Kazunori Yamaguchi
2006 — conf
A Fixed-Point Algorithm of Topographic ICA.
ICANN (2)
Yoshitatsu Matsuda, Kazunori Yamaguchi
2006 — conf
The InfoMin Principle for ICA and Topographic Mappings.
ICA
Yoshitatsu Matsuda, Kazunori Yamaguchi
2005 — conf
An Efficient MDS Algorithm for the Analysis of Massive Document Collections.
KES (2)
Yoshitatsu Matsuda, Kazunori Yamaguchi
2005 J jnl
An efficient MDS-based topographic mapping algorithm.
Neurocomputing
Yoshitatsu Matsuda, Kazunori Yamaguchi
2004 — conf
Linear Multilayer Independent Component Analysis Using Stochastic Gradient Algorithm.
ICA
Yoshitatsu Matsuda, Kazunori Yamaguchi
2004 — conf
Linear Multilayer Independent Component Analysis for Large Natural Scenes.
NIPS
Yoshitatsu Matsuda, Kazunori Yamaguchi
2004 B conf
Semi-invariant function of Jacobi algorithm in independent component analysis.
IJCNN
Yoshitatsu Matsuda, Kazunori Yamaguchi
2003 C conf
The InfoMin Criterion: An Information Theoretic Unifying Objective Function for Topographic Mappings.
ICANN
Yoshitatsu Matsuda, Kazunori Yamaguchi
2001 J jnl
Global Mapping Analysis: Stochastic Approximation for Multidimensional Scaling.
Int. J. Neural Syst.
Yoshitatsu Matsuda, Kazunori Yamaguchi