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Fumanal-Idocin, Javier and Vidaurre, Carmen and Fernández, Javier and Gómez, Marisol and Andreu-Perez, Javier and Prashad, Mukesh and Bustince, Humberto (2024) Supervised Penalty-based Aggregation Applied to Motor-Imagery based Brain-Computer-Interface. Pattern Recognition, 145. p. 109924. DOI https://doi.org/10.1016/j.patcog.2023.109924

Sun, Xia and Li, Bo and Sutcliffe, Richard and Gao, Zhizezhang and Kang, Wenying and Feng, Jun (2023) Wse-MF: A weighting-based student exercise matrix factorization model. Pattern Recognition, 138. p. 109285. DOI https://doi.org/10.1016/j.patcog.2022.109285

Chowdhury, Stiphen and Helian, Na and Amorim, Renato (2023) Feature weighting in DBSCAN using reverse nearest neighbours. Pattern Recognition, 137. p. 109314. DOI https://doi.org/10.1016/j.patcog.2023.109314

Talukdar, Upasana and Hazarika, Shyamanta M and Gan, John Q (2018) A Kernel Partial Least Square Based Feature Selection Method. Pattern Recognition, 83. pp. 91-106. DOI https://doi.org/10.1016/j.patcog.2018.05.012

Cordeiro de Amorim, R and Shestakov, A and Mirkin, B and Makarenkov, V (2017) The Minkowski central partition as a pointer to a suitable distance exponent and consensus partitioning. Pattern Recognition, 67. pp. 62-72. DOI https://doi.org/10.1016/j.patcog.2017.02.001

Raza, Haider and Prasad, Girijesh and Li, Yuhua (2015) EWMA model based shift-detection methods for detecting covariate shifts in non-stationary environments. Pattern Recognition, 48 (3). pp. 659-669. DOI https://doi.org/10.1016/j.patcog.2014.07.028

Su, Yingya and Zhao, Qingjie and Zhao, Liujun and Gu, Dongbing (2014) Abrupt motion tracking using a visual saliency embedded particle filter. Pattern Recognition, 47 (5). pp. 1826-1834. DOI https://doi.org/10.1016/j.patcog.2013.11.028

Hothorn, T and Lausen, B (2003) Double-Bagging: Combining Classifiers by Bootstrap Aggregation. Pattern Recognition, 36 (6). pp. 1303-1309. DOI https://doi.org/10.1016/s0031-3203(02)00169-3