論文

• Konstantinos Slavakis, Isao Yamada. Fejér-monotone hybrid steepest descent method for affinely constrained and composite convex minimization tasks, Optimization, vol. 67, no. 11, pp. 1963-2001, Nov. 2018.
• Symeon Chauvardas, Konstantinos Slavakis, Sergios Theodoridis, Isao Yamada. Stochastic Analysis of Hyperslab-Based Adaptive Projected Subgradient Method Under Bounded Noise, IEEE Signal Processing Letters, IEEE, vol. 20, no. 7, pp. 729-732, July 2013.
• Konstantinos Slavakis, Isao Yamada. The Adaptive Projected Subgradient Method Constrained by Families of Quasi-nonexpansive Mappings and Its Application to Online Learning, SIAM Journal on Optimization, vol. 23, no. 1, pp. 123-152, Feb. 2013.
• Sergios Theodoridis, Konstantinos Slavakis, Isao Yamada. Adaptive Learning in A World of Projections: A Unifying Framework for Linear and Nonlinear Classification and Regression Tasks, IEEE Signal Processing Magazine, vol. 28, no. 1, pp. 97-123, Jan. 2011.
• Masahiro Yukawa, Konstantinos Slavakis, Isao Yamada. Multi-domain Adaptive Learning Based on Feasibility Splitting and Adaptive Projected Subgradient Method, IEICE Transactions on Fundamentals, vol. E93-A, no. 2, pp. 456-466, Feb. 2010.
• Konstantinos SLAVAKIS, Sergios THEODORIDIS, ISAO YAMADA. Online Kernel-Based Classification Using Adaptive Projection Algorithms, IEEE Transactions on Signal Processing, Vol. 56, No. 7, pp. 2781-2796, July 2008.  公式リンク  
  
• Konstantinos Slavakis, Isao Yamada. Robust wideband beamforming by the hybrid steepest descent method, IEEE Transactions on Signal Processing, vol. 55, no. 9, pp. 4511-4522, Sept. 2007.

国際会議発表 (査読有り)

• Sergios Theodoridis, Isao Yamada, Konstantinos Slavakis. Learning in the Context of Set Theoretic Estimation: An Efficient and Unifying Framework for Adaptive Machine Learning and Signal Processing (Tutorial Lecture at IEEE ICASSP 2012), IEEE ICASSP 2012, IEEE, Mar. 2012.
• Konstantinos Slavakis, Sergios Theodoridis, Isao Yamada. Low Complexity Projection-based Adaptive Algorithm for Sparse System Identification and Signal Reconstruction, The 44th Asilomar Conference on Signals, Systems and Computers, Nov. 2010.
• Masahiro Yukawa, Konstantinos Slavakis, Isao Yamada. Multi-Domain Adaptive Filtering by Feasibility Splitting, IEEE ICASSP 2010, Mar. 2010.
• Masahiro Yukawa, Konstantinos Slavakis, Isao Yamada. Signal Processing in Dual Domain By Adaptive Projected Subgradient Method, DSP 2009, 2009 16th International Conference on Digital Signal Processing (DSP 2009), Santorini, Greece, Mar. 2009.

国内会議発表 (査読有り)

• Masahiro Yukawa, Konstantinos Slavakis, Isao Yamada. Multi-Domain Adaptive Learning, 2009 IEICE Society Conference, Proceedings of the 2009 IEICE Society Conference, IEICE, in CD-ROM, Sept. 2009.

国際会議発表 (査読なし・不明)

• Sergios THEODORIDIS, Konstantinos SLAVAKIS, Isao YAMADA. Adaptive Processing in a World of Projection (Plenary Lecture), 2008 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) Workshop, Cancun: Mexico, October 16-19, 2008, Oct. 2008.  公式リンク  
  

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