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IEEE Transactions on Cybernetics|June 14, 2022
Generalized Learning Vector Quantization With Log-Euclidean Metric Learning on Symmetric Positive-Definite ManifoldFengzhen Tang, Peter Tino, Haibin YuIEEE Transactions on Neural Networks and Learning Systems|March 24, 2020
Generalized Learning Riemannian Space Quantization: A Case Study on Riemannian Manifold of SPD MatricesFengzhen Tang, Mengling Fan, Peter TinoNeural Networks : the Official Journal of the International Neural Network Society|May 13, 2021
Probabilistic learning vector quantization on manifold of symmetric positive definite matricesFengzhen Tang, Haifeng Feng, Peter Tino, et al.Neural Networks : the Official Journal of the International Neural Network Society|May 30, 2017
Ordinal regression based on learning vector quantizationFengzhen Tang, Peter TiňoBMC Bioinformatics|September 25, 2009
Basic properties and information theory of Audic-Claverie statistic for analyzing cDNA arraysPeter TinoNeural Computation|March 14, 2007
Equilibria of iterative softmax and critical temperatures for intermittent search in self-organizing neural networksPeter TinoAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Time Window Optimization for Riemannian Geometry-based Motor Imagery EEG ClassificationFanbo Zhuo, Bo Lv, Fengzhen TangIEEE Transactions on Neural Networks|November 16, 2010
Minimum complexity echo state networkAli Rodan, Peter TinoNeural Computation|August 28, 2012
Adaptive metric learning vector quantization for ordinal classificationShereen Fouad, Peter TinoNeural Networks : the Official Journal of the International Neural Network Society|November 24, 2004
Making sense of sparse rating data in collaborative filtering via topographic organization of user preference patternsGabriela Polcicová, Peter TinoPageof 22