Publications: 2018
X.
Xue, Y. Li, H. Dong and Q. Shen. Robust correlation
tracking for UAV videos via feature fusion and saliency proposals. Remote Sensing, 10(10):1644, 21pp,
2018. |
S.
Kumar, P. Shaw, A. Giagkos, R. Braud, M. Lee and Q. Shen. Developing
hierarchical schemas and building schema chains through practice play
behavior. Frontiers in Neurorobotics, 12:33, 20pp, 2018. |
F.
Li, C. Shang, Y. Li, J. Yang and Q. Shen. Fuzzy rule-based interpolative
reasoning supported by attribute ranking. IEEE
Transactions on Fuzzy Systems, 26(5): 2758-2773, 2018. |
N.
Naik, R. Diao and Q.
Shen. Dynamic fuzzy rule interpolation and its application to intrusion
detection. IEEE Transactions on Fuzzy
Systems, 26(4):1878-1892, 2018. |
X.
Xue, Y. Li and Q. Shen. UAV object tracking by
correlation filter with adaptive appearance model. Sensors, 18:2751, 16pp, 2018. |
P.
Zhang and Q. Shen. Fuzzy c-means based coincidental link filtering in support
of inferring social networks from spatiotemporal data streams. Soft Computing, 22(21):7015-7025,
2018. |
T.
Chen, C. Shang, P. Su and Q. Shen. Induction of accurate and interpretable
fuzzy rules from preliminary crisp representation. Knowledge-Based Systems, 146:152-166, 2018. |
Y.
Qu, C. Shang, N. Mac Pathalain, W. Wu and Q. Shen. Multi-functional
nearest-neighbour classification. Soft Computing, 22(8):2717-2730, 2018. |
Y. Li, H. Zhang, X. Xue, Y.
Jiang and Q. Shen. Deep learning for remote sensing image classification: a
survey. Wiley Interdisciplinary
Reviews: Data Mining and Knowledge
Discovery, 8(6):e1264, 17pp, 2018. |
Z. Li, C. Shang and Q. Shen. Inter-variable correlation
prediction with fuzzy connected-triples. Soft
Computing, 22(21):7059-7072, 2018. |
F. Li, Y. Li, C. Shang and Q. Shen. Improving fuzzy rule
interpolation performance with information gain-guided antecedent weighting. Soft Computing, 22(10):3125-3139,
2018. |
T.
Chen, P. Su, C. Shang and Q. Shen. Weighted fuzzy rules optimised
by particle swarm for network intrusion detection. Proceedings of the 27th International Conference on Fuzzy Systems,
pp. 259-265, 2018. |
F.
Li, C. Shang, Y. Li and Q. Shen. Feature ranking-guided fuzzy rule
interpolation for mammographic mass shape classification. Proceedings of the 27th International
Conference on Fuzzy Systems, pp. 1039-1045, 2018. |
S.
Jin, Y. Jiang, J. Peng and Q. Shen. Hierarchical
bidirectional fuzzy rule interpolation. Proceedings
of the 17th IEEE International Conference on Cognitive Informatics and
Cognitive Computing, pp. 351-357, 2018. |
S.
Jin, J. Peng and Q. Shen. Towards hierarchical
bidirectional fuzzy rule interpolation-based decision support. Proceedings of the 6th International Forum
on Decision Sciences, 2018. |
J.
Yang, C. Shang, Y. Li, F. Li and Q. Shen. Generating ANFISs through rule
interpolation:: An initial investigation. Proceedings
of the 18th UK Workshop on Computational Intelligence, pp. 150-162, 2018. |
T.
Chen, C. Shang, P. Su, G. Antoniou and Q. Shen. Effective diagnosis of
diabetes with a decision tree-initialised neuro-fuzzy approach. Proceedings
of the 18th UK Workshop on Computational Intelligence, pp. 227-239, 2018. |
N.
Naik, C. Shang, Q. Shen and P. Jenkins. Vigilant
dynamic honeypot assisted by dynamic fuzzy rule interpolation. Proceedings of the 2018 IEEE Symposium
Series on Computational Intelligence, 2018. |
N.
Naik, C. Shang, Q. Shen and P. Jenkins. Intelligent
dynamic honeypot enabled by dynamic fuzzy rule interpolation. Proceedings of the 4th IEEE International
Conference on Data Science and Systems, pp. 1522-1529, 2018. |