By Dr Shadi Abpeikar

Journal articles

Kasmarik K; Khani M; Abpeikar S; Barlow M; Carter O; Irish M, 2025, 'Competence Awareness for Humans and Machines: A Survey and Future Research Directions from Psychology', ACM Computing Surveys, 57, pp. 1 - 26, http://dx.doi.org/10.1145/3689626

Ghanem R; Ali IM; Abpeikar S; Kasmarik K; Garratt M, 2025, 'Optimizing and predicting swarming collective motion performance for coverage problems solving: A simulation-optimization approach', Engineering Applications of Artificial Intelligence, 139, http://dx.doi.org/10.1016/j.engappai.2024.109522

Yang S; Samarasinghe D; Arukgoda A; Abpeikar S; Lakshika E; Barlow M, 2023, 'Automatic Recognition of Collective Emergent Behaviors Using Behavioral Metrics', IEEE Access, 11, pp. 89077 - 89092, http://dx.doi.org/10.1109/ACCESS.2023.3304682

Abpeikar S; Kasmarik K; Garratt M, 2023, 'Iterative transfer learning for automatic collective motion tuning on multiple robot platforms', Frontiers in Neurorobotics, 17, pp. 1113991, http://dx.doi.org/10.3389/fnbot.2023.1113991

Abpeikar S; Kasmarik K, 2023, 'Motion Behaviour Recognition Dataset Collected from Human Perception of Collective Motion', Data in Brief, 47, pp. 108976, http://dx.doi.org/10.1016/j.dib.2023.108976

Abpeikar S; Kasmarik K; Garratt M; Hunjet R; Khan M; Qiu H, 2022, 'Automatic Collective Motion Tuning using Actor-Critic Deep Reinforcement Learning', Swarm and Evolutionary Computation, 72, pp. 101085, http://dx.doi.org/10.1016/j.swevo.2022.101085

Tran P; Abpeikar S; Kasmarik K; Garratt M; Anavatti S, 2022, 'Frontier Led Swarming: Robust Multi-robot coverage of Unknown Environments', Swarm and Evolutionary Computation, 75, pp. 101171, http://dx.doi.org/10.1016/j.swevo.2022.101171

Abpeikar S; Ghatee M; Foresti GL; Micheloni C, 2020, 'Adaptive neural tree exploiting expert nodes to classify high-dimensional data', Neural Networks, 124, pp. 20 - 38, 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, 137, pp. 281 - 291, http://dx.doi.org/10.1016/j.eswa.2019.07.003

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, 31, pp. 7131 - 7151, http://dx.doi.org/10.1007/s00521-018-3543-9

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 and Data Analysis, 131, pp. 12 - 36, http://dx.doi.org/10.1016/j.csda.2018.08.015

Abpeykar S; Ghatee M; Abpeikar S, 2018, 'A real-time decision support system for bridge management based on the rules generalized by CART decision tree and SMO algorithms', AUT Journal of Mathematics and Computing, https://ajmc.aut.ac.ir/

Abpeykar S; Ghatee M, 2018, 'Decent direction methods on the feasible region recognized by supervised learning metamodels to solve unstructured problems', JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES, 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, 42, pp. 293 - 306, http://dx.doi.org/10.1016/j.tust.2014.03.008

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