Andrew Lensen

Andrew Lensen profile picture

Postdoctoral Fellow School of Engineering and Computer Science

Teaching in 2019

Qualifications

BSc (Hons 1st Class) VUW

Pages

ORCID iD iconhttps://orcid.org/0000-0003-1269-4751
Google Scholar
Personal
ResearchGate

Research Interests

Evolutionary Computation, Feature Selection and Construction, Unsupervised Learning, Manifold Learning, Neural Networks

Publications

PDFs for the papers below can be found at http://andrewlensen.com/publications.html for academic/educational purposes (well, once it is updated. Email me in the meantime!).
The best place to get bibtex citations is usually here or here for GP papers.

  1. Harith Al-Sahaf, Ying Bi, Qi Chen, Andrew Lensen, Yi Mei, Yanan Sun, Binh Tran, Bing Xue, and Mengjie Zhang. "A Survey on Evolutionary Machine Learning". Journal of the Royal Society of New Zealand, volume 49:2, pages 205-228. Taylor & Francis, 2019. DOI: 10.1080/03036758.2019.1609052
  2. Andrew Lensen, Bing Xue, and Mengjie Zhang. "Can Genetic Programming Do Manifold Learning Too?". Proceedings of the 22nd European Conference on Genetic Programming (EuroGP 2019). pages 114-130. Lecture Notes in Computer Science, volume 11451. Springer, 2019. Received the best paper award!
  3. Andrew Lensen, Bing Xue, and Mengjie Zhang. "Automatically Evolving Difficult Benchmark Feature Selection Datasets with Genetic Programming". Proceedings of The Genetic and Evolutionary Computation Conference (GECCO 2018). pages 458-465. ACM, 2018.
  4. Damien O'Neill, Andrew Lensen, Bing Xue, and Mengjie Zhang. "Particle Swarm Optimisation for Feature Selection and Weighting in High-Dimensional Clustering". Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2018). pages 1-8. IEEE, 2018.
  5. Andrew Lensen, Bing Xue, and Mengjie Zhang. "Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming". Proceedings of the 21st European Conference on Genetic Programming (EuroGP 2018). pages 88-100. Lecture Notes in Computer Science, volume 10781. Springer, 2018.
  6. Andrew Lensen, Bing Xue, and Mengjie Zhang. "New Representations in Genetic Programming for Feature Construction in k-means Clustering". Proceedings of The 11th International Conference on Simulated Evolution and Learning (SEAL2017). pages 543-555. Springer, 2017.
  7. Andrew Lensen, Bing Xue, and Mengjie Zhang. "GPGC: Genetic Programming for Automatic Clustering using a Flexible Non-Hyper-Spherical Graph-Based Approach". Proceedings of The Genetic and Evolutionary Computation Conference (GECCO 2017). pages 449-456. ACM, 2017.
  8. Andrew Lensen, Bing Xue, and Mengjie Zhang. "Improving k-means Clustering with Genetic Programming for Feature Construction". Proceedings of The Genetic and Evolutionary Computation Conference (GECCO 2017) Companion. pages 237-238. ACM, 2017.
  9. Andrew Lensen, Bing Xue, and Mengjie Zhang. "Using Particle Swarm Optimisation and the Silhouette Metric to Estimate the Number of Clusters, Select Features, and Perform Clustering". Proceedings of the 20th European Conference on the Applications of Evolutionary Computation (EvoApplications 2017). pages 538-554. Lecture Notes in Computer Science, volume 10199. Springer, 2017.
  10. Andrew Lensen, Bing Xue, and Mengjie Zhang. "Particle Swarm Optimisation Representations for Simultaneous Clustering and Feature Selection". Proceedings of the Symposium Series on Computational Intelligence (SSCI 2016). pages 1-8. IEEE Press, 2016.
  11. Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, and Bing Xue. "Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data". Proceedings of the 19th European Conference on Genetic Programming (EuroGP 2016). pages 51-67. Lecture Notes in Computer Science, volume 9594. Springer, 2016.
  12. Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, and Bing Xue. "A Hybrid Genetic Programming Approach to Feature Detection and Image Classification". Proceedings of the 30th International Conference on Image and Vision Computing New Zealand (IVCNZ 2015). pages 1-6. IEEE Press, 2015.
  13. Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, and Brijesh Verma. "Genetic Programming for Algae Detection in River Images". Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2015), pages 2468-2475. IEEE Press, 2015.
Topic attachments
I Attachment Action Size Date Who Comment
COMP309 4_Andrew.pptxpptx COMP309 4_Andrew.pptx manage 3 MB 18 Jul 2019 - 10:44 Main.lensenandr  
oral_slides.pptxpptx oral_slides.pptx manage 329 K 06 Sep 2019 - 14:27 Main.lensenandr