Liu, Liu, Chen, Chao, Zhang, Jun, De Vel, Olivier, and Xiang, Yang (2020) Doc2vec-based insider threat detection through behaviour analysis of multi-source security logs. In: Proceedings of the IEEE 19th International Conference on Trust, Security and Privacy in Computing. pp. 301-309. From: TrustCom 2020: IEEE 19th International Conference on Trust, Security and Privacy in Computing, 29 December 2020 - 1 January 2021, Guangzhou, China.

Liu, Liu, Chen, Chao, Zhang, Jun, De Vel, Olivier, and Xiang, Yang (2019) Insider threat identification using the simultaneous neural learning of multi-source logs. IEEE Access, 7. pp. 183162-183176.

Liu, Liu, De Vel, Olivier, Chen, Chao, Zhang, Jun, and Xiang, Yang (2018) Anomaly-based insider threat detection using deep autoencoders. In: Proceedings of the IEEE International Conference on Data Mining Workshops. pp. 39-48. From: ICDMW 2018: IEEE International Conference on Data Mining Workshops, 17-20 November 2018, Singapore.

Jiang, Zhuhan, de Vel, Olivier, and Litow, Bruce (2003) Unification and extension of weighted finite automata applicable to image compression. Theoretical Computer Science, 302 (1-3). pp. 275-294.

Jiang, Zhuhan, Litow, Bruce, and de Vel, Oliver (2001) An inference implementation based on extended weighted finite automata. In: Australian Computer Science Communications (23) pp. 100-108. From: 24th Australasian Computer Science Conference ACSC 2001, 29 January - 2 February 2001, Gold Coast, Queensland.

Mallet, Y., Coomans, D., and de Vel, O. (2000) Application of adaptive wavelets in classification and regression. In: Walczak, Beata, (ed.) Wavelets in Chemistry. Data Handling in Science and Technology (22). Elsevier, Amsterdam, The Netherlands, pp. 437-456.

Mallet, Y., De Vel, O., and Coomans, D. (2000) Fundamentals of wavelet transformations. In: Walczak, Beata, (ed.) Wavelets in Chemistry. Data Handling in Science and Technology (22). Elsevier, Amsterdam, The Netherlands, pp. 57-84.

Aeberhard, S., De Vel, O.Y., and Coomans, D.H. (2000) New fast algorithms for error rate-based stepwise variable selection in discriminant analysis. Siam Journal on Scientific Computing, 22 (3). pp. 1036-1052.

Mallet, Y., Coomans, D., and de Vel, O. (2000) Wavelet packet transforms and best basis algorithms. In: Walczak, Beata, (ed.) Wavelets in Chemistry. Data Handling in Science and Technology (22). Elsevier, Amsterdam, The Netherlands, pp. 151-164.

de Vel, O., Coomans, D., and Mallet, Y. (2000) Wavelet-based image compression. In: Walczak, Beata, (ed.) Wavelets in Chemistry. Data Handling in Science and Technology (22). Elsevier, Amsterdam, The Netherlands, pp. 457-478.

Mallet, Y., Coomans, D., and de Vel, O. (2000) The adaptive wavelet algorithm for designing task specific wavelets. In: Walczak, Beata, (ed.) Wavelets in Chemistry. Data Handling in Science and Technology (22). Elsevier, Amsterdam, The Netherlands, pp. 177-202.

Mallet, Y., De Vel, O., and Coomans, D. (2000) The discrete wavelet transform in practice. In: Walczak, Beata, (ed.) Wavelets in Chemistry. Data Handling in Science and Technology (22). Elsevier, Amsterdam, The Netherlands, pp. 85-118.

Mallet, Yvette, de Vel, Olivier, and Coomans, Danny (1998) Integrated feature extraction using adaptive wavelets. In: Liu, Huan, and Motoda, Hiroshi, (eds.) Feature Extraction, Construction and Selection: a data mining perspective. Kluwer Academic, Dordrecht, The Netherlands, pp. 175-190.

Mallet, Yvette, Coomans, Danny, Kautsky, Jerry, and De Vel, Olivier (1997) Classification using adaptive wavelets for feature extraction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19 (10). pp. 1058-1066.

Mallet, Y., Coomans, D., and de Vel, O. (1996) Recent developments in discriminant analysis on high dimensional spectral data. Chemometrics and Intelligent Laboratory Systems, 35 (2). pp. 157-173.