Dr Shadi Abpeikar

Postdoctoral Fellow
School of Engineering and Information Technology
+61 2 6268 8669

Journal articles

Abpeikar S; Ghatee M; Foresti GL; Micheloni C, 2020, 'Adaptive neural tree exploiting expert nodes to classify high-dimensional data', Neural Networks, http://dx.doi.org/10.1016/j.neunet.2019.12.029

Abpeykar S; Ghatee M, 2019, 'Neural trees with peer-to-peer and server-to-client knowledge transferring models for high-dimensional data classification', Expert Systems with Applications, vol. 137, pp. 281 - 291, http://dx.doi.org/10.1016/j.eswa.2019.07.003

Abpeykar S; Ghatee M; Zare H, 2019, 'Ensemble decision forest of RBF networks via hybrid feature clustering approach for high-dimensional data classification', Computational Statistics & Data Analysis, vol. 131, pp. 12 - 36, http://dx.doi.org/10.1016/j.csda.2018.08.015

Abpeykar S; Ghatee M, 2019, 'An ensemble of RBF neural networks in decision tree structure with knowledge transferring to accelerate multi-classification', Neural Computing and Applications, vol. 31, pp. 7131 - 7151, http://dx.doi.org/10.1007/s00521-018-3543-9

Abpeykar S; Ghatee M, 2018, 'Decent direction methods on the feasible region recognized by supervised learning metamodels to solve unstructured problems', Journal of Information and Optimization Sciences, vol. 39, pp. 1245 - 1262, http://dx.doi.org/10.1080/02522667.2017.1324588

Abpeykar S; Ghatee M, 2014, 'Supervised and unsupervised learning DSS for incident management in intelligent tunnel: A case study in Tehran Niayesh tunnel', Tunnelling and Underground Space Technology, vol. 42, pp. 293 - 306, http://dx.doi.org/10.1016/j.tust.2014.03.008