Peter Andreae
Adjunct Professor
School of Engineering and Computer Science
Overview
Peter has been connected to Artificial Intelligence since the 1960s when his father started researching Machine Learning systems. His first degree was in Electrical Engineering from the University of Canterbury (New Zealand); he then went to M.I.T. (Massachusetts Institute of Technology) and did a Masters (on a topic in complexity) and a PhD, in Machine Learning (finished in 1984). Since then he has been in Computer Science here at Victoria University of Wellington, first in the Department of Computer Science, then in the merged School of Mathematics, Statistics, and Computer Science, and now in the School of Engineering and Computer Science. He retired in April 2023 but still holds an adjunct position in the School of Engineering and Computer ScienceAcademic positions
- Adjunct Professor, School of Engineering and Computer Science, Faculty of Engineering, Te Herenga Waka—Victoria University of Wellington
- Associate Professor, Engineering and Computer Science, Te Herenga Waka—Victoria University of Wellington
- Associate Dean (Students and Academic Development), Faculty of Engineering, Te Herenga Waka—Victoria University of Wellington
- Senior Lecturer, Computer Science/Mathematical & Computing Sciences/Engineering & Computer Science, Te Herenga Waka—Victoria University of Wellington.
Degrees
SM, PhD Massachusetts Institute of Technology 1977–1984 BE(Hons) University of Canterbury 1974–1976Publications
Dang, B. T., Nguyen, B. H., & Andreae, P. (2022). Operation-based Greedy Algorithm for Discounted Knapsack Problem. In Unknown Book (Vol. 13728 LNAI, pp. 646-660). doi:10.1007/978-3-031-22695-3_45
Nguyen, B. H., Xue, B., Andreae, P., & Zhang, M. (2021). A Hybrid Evolutionary Computation Approach to Inducing Transfer Classifiers for Domain Adaptation. IEEE Transactions on Cybernetics, 51(12), 6319-6332. doi:10.1109/TCYB.2020.2980815
Nguyen, B. H., Xue, B., Andreae, P., & Zhang, M. (2021). A New Binary Particle Swarm Optimization Approach: Momentum and Dynamic Balance between Exploration and Exploitation. IEEE Transactions on Cybernetics, 51(2), 589-603. doi:10.1109/TCYB.2019.2944141
Londt, T., Gao, X., & Andreae, P. (2021). Evolving Character-Level DenseNet Architectures Using Genetic Programming. In Unknown Book (Vol. 12694 LNCS, pp. 665-680). doi:10.1007/978-3-030-72699-7_42
Londt, T., Gao, X., Xue, B., & Andreae, P. (2020). Evolving Character-level Convolutional Neural Networks for Text Classification. doi:10.48550/arxiv.2012.02223
Londt, T., Gao, X., & Andreae, P. (2020). Evolving Character-Level DenseNet Architectures using Genetic Programming. doi:10.48550/arxiv.2012.02327
Jabeen, S., Gao, X., & Andreae, P. (2020). Semantic association computation: a comprehensive survey. Artificial Intelligence Review, 53(6), 3849-3899. doi:10.1007/s10462-019-09781-w
Nguyen, B. H., Xue, B., Andreae, P., Ishibuchi, H., & Zhang, M. (2020). Multiple Reference Points-Based Decomposition for Multiobjective Feature Selection in Classification: Static and Dynamic Mechanisms. IEEE Transactions on Evolutionary Computation, 24(1), 170-184. doi:10.1109/TEVC.2019.2913831
Kho, Y. H., Watterson, C., Andreae, P., & Nekooei, M. (2019). An analysis of students' writing: The design of an online repository as a writing support. In TALE 2019 - 2019 IEEE International Conference on Engineering, Technology and Education. doi:10.1109/TALE48000.2019.9225963
Mirghasemi, S., Andreae, P., & Zhang, M. (2019). Domain-independent severely noisy image segmentation via adaptive wavelet shrinkage using particle swarm optimization and fuzzy C-means. Expert Systems with Applications, 133, 126-150. doi:10.1016/j.eswa.2019.04.050
Nguyen, B. H., Xue, B., Zhang, M., & Andreae, P. (2019). Population-based ensemble classifier induction for domain adaptation. In GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference (pp. 437-445). doi:10.1145/3321707.3321716
Lin, Y., Andreae, P., Li, Z., Cai, J., & Li, H. (2019). Real-time co-registered photoacoustic and ultrasonic imaging for early endometrial cancer detection driven by cylindrical diffuser. Journal of Innovative Optical Health Sciences, 12(2). doi:10.1142/S1793545819500020
Tran, C. T., Zhang, M., Andreae, P., Xue, B., & Bui, L. T. (2018). Improving performance of classification on incomplete data using feature selection and clustering. Applied Soft Computing Journal, 73, 848-861. doi:10.1016/j.asoc.2018.09.026
Nguyen, H. B., Xue, B., & Andreae, P. (2018). PSO with surrogate models for feature selection: static and dynamic clustering-based methods. Memetic Computing, 10(3), 291-300. doi:10.1007/s12293-018-0254-9
Tran, C. T., Zhang, M., Andreae, P., Xue, B., & Bui, L. T. (2018). An effective and efficient approach to classification with incomplete data. Knowledge-Based Systems, 154, 1-16. doi:10.1016/j.knosys.2018.05.013
Mahmood, M. A., Welch, I., & Andreae, P. (2018). Enhanced event reliability in wireless sensor networks. In 2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) (pp. 93-100). IEEE.
Nguyen, B. H., Xue, B., & Andreae, P. (2018). A particle swarm optimization based feature selection approach to transfer learning in classification. In GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference (pp. 37-44). doi:10.1145/3205455.3205540
Tran, C. T., Zhang, M., Xue, B., & Andreae, P. (2018). Genetic programming with interval functions and ensemble learning for classification with incomplete data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11320 LNAI (pp. 577-589). doi:10.1007/978-3-030-03991-2_53
Tran, C. T., Zhang, M., Andreae, P., Xue, B., & Bui, L. T. (2017). An ensemble of rule-based classifiers for incomplete data. In Proceedings - 2017 21st Asia Pacific Symposium on Intelligent and Evolutionary Systems, IES 2017 Vol. 2017-January (pp. 7-12). doi:10.1109/IESYS.2017.8233553
Qu, Y., Ng, B., Yu, H., Andreae, P., & Seah, W. K. G. (2017). Fitness evaluation for channel assignment algorithms in IEEE 802.11 WMNs. In 2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017 (pp. 361-364). doi:10.1109/CCNC.2017.7983135
Nguyen, H. B., Xue, B., Andreae, P., & Zhang, M. (2017). Particle Swarm Optimisation with genetic operators for feature selection. In 2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings (pp. 286-293). doi:10.1109/CEC.2017.7969325
Tran, C. T., Zhang, M., Andreae, P., & Xue, B. (2017). Multiple imputation and genetic programming for classification with incomplete data. In GECCO 2017 - Proceedings of the 2017 Genetic and Evolutionary Computation Conference (pp. 521-528). Online. doi:10.1145/3071178.3071181
Tran, C. T., Zhang, M., Andreae, P., & Xue, B. (2017). Genetic programming based feature construction for classification with incomplete data. In GECCO 2017 - Proceedings of the 2017 Genetic and Evolutionary Computation Conference (pp. 1033-1040). doi:10.1145/3071178.3071183
Nguyen, H. B., Xue, B., Ishibuchi, H., Andreae, P., & Zhang, M. (2017). Multiple Reference Points MOEA/D for Feature Selection. In Proceedings of GECCO '17 Companion (pp. 157-158). Berlin, Germany: ACM. doi:10.1145/3067695.3075985
Nguyen, B. H., Xue, B., & Andreae, P. (2017). A Novel Binary Particle Swarm Optimization Algorithm and Its Applications on Knapsack and Feature Selection Problems. In Unknown Conference (pp. 319-332). Springer International Publishing. doi:10.1007/978-3-319-49049-6_23
Nguyen, H. B., Xue, B., & Andreae, P. (2017). A hybrid GA-GP method for feature reduction in classification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10593 LNCS (pp. 591-604). doi:10.1007/978-3-319-68759-9_48
Tran, C. T., Zhang, M., Andreae, P., & Xue, B. (2017). Bagging and Feature Selection for Classification with Incomplete Data. In G. Squillero, & K. Sim (Eds.), Unknown Conference (pp. 471-486). Springer International Publishing. doi:10.1007/978-3-319-55849-3_31
Tran, C. T., Zhang, M., Andreae, P., Xue, B., & Bui, L. T. (2017). Multiple Imputation and Ensemble Learning for Classification with Incomplete Data. In G. Leu (Ed.), Proceedings in Adaptation, Learning and Optimization 8 (pp. 401-415). Canberra, Australia. doi:10.1007/978-3-319-49049-6_29
Nguyen, H. B., Xue, B., & Andreae, P. (2017). Surrogate-model based particle swarm optimisation with local search for feature selection in classification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10199 LNCS (pp. 487-505). Amsterdam, The Netherlands: Springer, Cham. doi:10.1007/978-3-319-55849-3_32
Mirghasemi, S., Andreae, P., Zhang, M., & Rayudu, R. (2016, December 6). Severely noisy image segmentation via wavelet shrinkage using PSO and Fuzzy C-Means. In 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016 (pp. 1663-1670). Athens, Greece. doi:10.1109/SSCI.2016.7850051
Tran, C. T., Zhang, M., & Andreae, P. (2016). Directly evolving classifiers for missing data using genetic programming. In 2016 IEEE Congress on Evolutionary Computation, CEC 2016 (pp. 5278-5285). doi:10.1109/CEC.2016.7748361
Nguyen, H. B., Xue, B., Liu, I., Andreae, P., & Zhang, M. (2016). New mechanism for archive maintenance in PSO-based multi-objective feature selection. Soft Computing, 20(10), 3927-3946. doi:10.1007/s00500-016-2128-8
Tran, C. T., Zhang, M., Andreae, P., & Xue, B. (2016). Improving performance for classification with incomplete data using wrapper-based feature selection. Evolutionary Intelligence, 9(3), 81-94. doi:10.1007/s12065-016-0141-6
Nguyen, H. B., Xue, B., & Andreae, P. (2016). Mutual information for feature selection: estimation or counting?. Evolutionary Intelligence, 9(3), 95-110. doi:10.1007/s12065-016-0143-4
Limtrairut, P., Marshall, S., & Andreae, P. (2016). Mobile learning application for computer science students: A transactional distance perspective. In ICER 2016 - Proceedings of the 2016 ACM Conference on International Computing Education Research (pp. 285-286). doi:10.1145/2960310.2960350
Tran, C. T., Zhang, M., Andreae, P., & Xue, B. (2016). Directly constructing multiple features for classification with missing data using genetic programming with interval functions. In GECCO 2016 Companion - Proceedings of the 2016 Genetic and Evolutionary Computation Conference (pp. 69-70). doi:10.1145/2908961.2909002
Carnegie, D. A., Andreae, P., Watterson, C. A., & Bubendorfer, K. (2016). The development of postgraduate ICT programmes: For an industry that does not want traditional postgraduate students. In IEEE Global Engineering Education Conference, EDUCON Vol. 10-13-April-2016 (pp. 702-708). doi:10.1109/EDUCON.2016.7474627
Crabtree, D., Gao, X., & Andreae, P. (2016). Query aspects approach to web search. Web Intelligence, 14(3), 173-197. doi:10.3233/WEB-160338
Limtrairut, P., Marshall, S., & Andreae, P. (2016). Know the mobile learning application users: Transactional distance perspective. In CSEDU 2016 - Proceedings of the 8th International Conference on Computer Supported Education Vol. 2 (pp. 378-387). doi:10.5220/0005791303780387
Tran, C. T., Zhang, M., & Andreae, P. (2016). A Genetic Programming-Based Imputation Method for Classification with Missing Data. In M. Heywood, J. McDermott, M. Castelli, E. Costa, & K. Sim (Eds.), Genetic Programming. EuroGP 2016. Lecture Notes in Computer Science Vol. 9594 (pp. 149-163). Springer. doi:10.1007/978-3-319-30668-1_10
Nguyen, H. B., Xue, B., & Andreae, P. (2016). Mutual information estimation for filter based feature selection using particle swarm optimization. In Lecture Notes in Computer Science : Applications of Evolutionary Computation 19th European Conference, EvoApplications 2016 Vol. 9597 (pp. 719-736). doi:10.1007/978-3-319-31204-0_46
Tran, T., Zhang, M., Andreae, P., & Xue, B. (n.d.). A Wrapper Feature Selection Approach to Classification with Missing Data. In Proceedings of the 19th European Conference on the Applications of Evolutionary Computation (EvoIASP’16).
Wahid, A., Gao, X., & Andreae, P. (2015). Multi-objective clustering ensemble for high-dimensional data based on Strength Pareto Evolutionary Algorithm (SPEA-II). In Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015. doi:10.1109/DSAA.2015.7344795
Tran, C. T., Andreae, P., & Zhang, M. (2015). Impact of imputation of missing values on Genetic programming based multiple feature construction for classification. In 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings (pp. 2398-2405). doi:10.1109/CEC.2015.7257182
Wang, D. X., Gao, X., & Andreae, P. (2015). DIKEA: Exploiting Wikipedia for keyphrase extraction. Web Intelligence, 13(3), 153-165. doi:10.3233/WEB-150318
Tran, C. T., Zhang, M., & Andreae, P. (2015). Multiple imputation for missing data using genetic programming. In GECCO 2015 - Proceedings of the 2015 Genetic and Evolutionary Computation Conference (pp. 583-590). Online. doi:10.1145/2739480.2754665
Wahid, A., Gao, X., & Andreae, P. (2015). Multi-objective multi-view clustering ensemble based on evolutionary approach. In 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings (pp. 1696-1703). Online. doi:10.1109/CEC.2015.7257091
Wahid, A., Gao, X., & Andreae, P. (2015). A soft subspace clustering method for text data using a probability based feature weighting scheme. In J. Wang, W. Cellary, D. Wang, H. Wang, S. -C. Chen, T. Li, & Y. Zhang (Eds.), Web Information Systems Engineering – WISE 2015 16th International Conference Miami, FL, USA, November 1–3, 2015 Proceedings, Part II Vol. 9419 (pp. 124-138). Miami, Florida, USA. doi:10.1007/978-3-319-26187-4_9
Nguyen, H. B., Xue, B., Liu, I., Andreae, P., & Zhang, M. (2015). Gaussian transformation based representation in particle swarm optimisation for feature selection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9028 (pp. 541-553). doi:10.1007/978-3-319-16549-3_44
Bell, T., Andreae, P., & Robins, A. (2014). A Case Study of the Introduction of Computer Science in NZ Schools. ACM Transactions on Computing Education, 14(2), 31 pages. doi:10.1145/2602485
Hoda, R., & Andreae, P. (2014). It's Not Them, It's Us! Why Computer Science Fails to Impress Many First Years. In Proceedings of the Sixteenth Australasian Computing Education Conference (ACE2014) (pp. 159-162).
Jabeen, S., Gao, X., & Andreae, P. (2014). Probabilistic Associations as a Proxy for Semantic Relatedness. In WISE 2014 Vol. 8786 (pp. 512-522). the proceedings of the 15th International Conference on Web Information Systems Engineering: Springer. doi:10.1007/978-3-319-11746-1
Jabeen, S., Gao, X., & Andreae, P. (2014). A Hybrid Model for Learning Semantic Relatedness Using Wikipedia-Based Features. In B. Benatallah, A. Bestavros, Y. Manolopoulos, A. Vakali, & Y. Zhang (Eds.), Web Information Systems Engineering – WISE 2014 15th International Conference Thessaloniki, Greece, October 12-14, 2014 Proceedings, Part I Vol. 8786 (pp. 523-533). Cham Heidelberg New York Dordrecht London. doi:10.1007/978-3-319-11749-2_39
Jabeen, S., Gao, X., & Andreae, P. (2014). Probabilistic Associations as a Proxy for Semantic Relatedness. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8786, 512-522. doi:10.1007/978-3-319-11749-2_38
Andreae, H., Andreae, P., Low, J., & Brown, D. (2014). A Study Of Auti: A Socially Assistive Robotic Toy. In O. S. Iversen, P. Markopoulos, C. Dindler, F. Garzotto, & C. Frauenberger (Eds.), IDC ’14 - Proceedings of the 2014 Conference on Interaction Design and Children (pp. 245-248). New York: Association for Computing Machinery.
Sawczuk da Silva, A., Gao, X., & Andreae, P. (2014). Wallace: Incorporating Search into Chatting. In Proceedings of 13th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2014, Gold Coast, QLD, Australia, 2014, Trends in Artificial Intelligence (pp. 842-848).
Wahid, A., Gao, X., & Andreae, P. (2014). Multi-view clustering of web documents using multi-objective genetic algorithm. In 2014 IEEE Congress on Evolutionary Computation (CEC 2014) (pp. 2625-2632). Beijing, China: IEEE. doi:10.1109/CEC.2014.6900586
Jabeen, S., Gao, X., & Andreae, P. (2014). Using Asymmetric Associations for Commonsense Causality Detection. In PRICAI 2014.
da Silva, A. S., Gao, X., & Andreae, P. (2014). Wallace: Incorporating Search into Chatting. In Lecture Notes in Computer Science (pp. 842-848). Springer International Publishing. doi:10.1007/978-3-319-13560-1_68
Jabeen, S., Gao, X., & Andreae, P. (2014). Using Asymmetric Associations for Commonsense Causality Detection. In Lecture Notes in Computer Science (pp. 877-883). Springer International Publishing. doi:10.1007/978-3-319-13560-1_73
Stojmirovic, A., Andreae, P., Boland, M., Jordan, T., Pestov, V., Brisaboa, N., . . . Zezula, P. (2013). PFMFind: a system for discovery of peptide homology and function. In 6th International Conference, SISAP 2013 (pp. 319-324). doi:10.1007/978-3-642-41062-8_32
Crabtree, D., Gao, X., & Andreae, P. (2013). Query directed clustering. Knowledge and Information Systems, 36(3), 693-729. doi:10.1007/s10115-012-0564-z
Crabtree, D., Gao, X., & Andreae, P. (2013). Query directed clustering. Knowledge and Information Systems, 36(3), 693-729. doi:10.1007/s10115-012-0564-z
Wahid, A., Gao, X., & Andreae, P. (2013). Exploiting User Queries for Search Result Clustering. In X. Lin, Y. Manolopoulos, D. Srivastava, & G. Huang (Eds.), Web Information Systems Engineering – WISE 2013 14th International Conference, Nanjing, China, October 13-15, 2013, Proceedings, Part I Vol. 8180 (pp. 111-120). Nanjing, China: Springer. doi:10.1007/978-3-642-41230-1_10
Jabeen, S., Gao, X., & Andreae, P. (2013). Directional Context Helps: Guiding Semantic Relatedness Computation by Asymmetric Word Associations. In X. Lin, Y. Manolopoulos, D. Srivastava, & G. Huang (Eds.), Web Information Systems Engineering – WISE 2013, 14th International Conference Nanjing, China, October 2013 Proceedings, Part I Vol. 8180 (pp. 92-101). Berlin Heidelberg: Springer. doi:10.1007/978-3-642-41230-1
Jabeen, S., Gao, X., & Andreae, P. (2013). CPRel: Semantic Relatedness Computation Using Wikipedia based Context profiles. Journal of computing Science, April 2013..
Thompson, D., Bell, T., Andreae, P., & Robins, A. (2013). The Role of Teachers in Implementing Curriculum Changes. In Proceeding of the 44th ACM Technical Symposium on Computer Science Education, SIGCSE '13 (pp. 245-250). New York: ACM.
Jabeen, S., Gao, X., & Andreae, P. (2013). Directional Context Helps: Guiding Semantic Relatedness Computation by Asymmetric Word Associations. In Lecture Notes in Computer Science (pp. 92-101). Springer Berlin Heidelberg. doi:10.1007/978-3-642-41230-1_8
Wang, D., Gao, X., & Andreae, P. (2012). DIKEA: Domain-Independent Keyphrase Extraction Algorithm. In Australasian Conference on Artificial Intelligence (pp. 719-730). Berlin: Springer.
Bruce, C., Gao, X., Andreae, P., & Jabeen, S. (2012). Query Expansion Powered by Wikipedia Hyperlinks. In Australasian Conference on Artificial Intelligence (pp. 421-432). Berlin: Springer.
Hindmarsh, S., Andreae, P., & Zhang, M. (2012). Genetic Programming for improving image descriptors generated using the Scale-Invariant Feature Transform. In Proceedings of the 27th International Conference on Image and Vision Computing New Zealand (pp. 85-90). New York: ACM Press.
Male, J., Gao, X., & Andreae, P. (2012). Query Directed Web Page Clustering using Suffix Tree and Wikipedia Links. In International Conference on Advanced Data Mining and Applications (pp. 91-99). Berlin: Springer.
Jabeen, S., Gao, X., & Andreae, P. (2012). Using Wikipedia as an External Knowledge Source for Supporting Contextual Disambiguation. Journal of Software Engineering and Applications, 5(12B), 175-180. doi:10.4236/jsea.2012.512B034
Bell, T., Newton, H., Andreae, P., & Robins, A. (2012). The introduction of computer Science to NZ high schools - An analysis of student work. In ACM International Conference Proceeding Series (pp. 5-15). doi:10.1145/2481449.2481454
Jabeen, S., Gao, X., & Andreae, P. (2012). Harnessing Wikipedia Semantics for Computing Contextual Relatedness. In PRICAI (pp. 861-865). Berlin: Springer.
Wang, D., Gao, X., & Andreae, P. (2012). Automatic Keyword Extraction from Single-Sentence Natural Language Queries. In PRICAI (pp. 637-648). Berlin: Springer.
Neshatian, K., Zhang, M., & Andreae, P. (2012). A Filter Approach to Multiple Feature Construction for Symbolic Learning Classifiers Using Genetic Programming. IEEE Transactions on Evolutionary Computation, 16(5), 645-661. doi:10.1109/TEVC.2011.2166158
Carnegie, D., Watterson, C., Andreae, P., & Browne, W. (2012). Prediction of Success in Engineering Study. In Proceedings of the IEEE Engineering Education Conference (Educon 2012) (pp. 57-65).
Carnegie, D., Watterson, C., Andreae, P., & Browne, W. (2012). NCEA as a predictor of success in tertiary engineering study. In Proceedings of the 19th Electronics New Zealand Conference (ENZCon) (pp. 7-12).
Bell, T., Andreae, P., & Robins, A. (2012). Computer science in NZ high schools: the first year of the new standards. In SIGCSE '12 Proceedings of the 43rd ACM technical symposium on Computer Science Education (pp. 343-348). New York: ACM. doi:10.1145/2157136.2157240
Cassell, K., Andreae, P., & Groves, L. (2011). A Dual Clustering Approach to the Extract Class Refactoring. In Proceedings of the 23rd International Conference on Software Engineering and Knowledge Engineering (pp. 77-82). Skokie, IL: Knowledge Systems Institute Graduate School. Retrieved from http://dblp.uni-trier.de/
Cassell, K., Anslow, C., Groves, L., & Andreae, P. (2011). Visualizing the refactoring of classes via clustering. In Proceedings of the Thirty-Fourth Australasian Computer Science Conference-Volume 113 (pp. 63-72). Australian Computer Society, Inc..
Nguyen, G., Gao, X., & Andreae, P. (2011). Phoneme based representation for Vietnamese Web Page classification. In Proceedings of the 2011 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Vol. August (pp. 15-22). Lyon, France. doi:10.1109/WI-IAT.2011.142
Chan, A., Andreae, P., Northcote, P., & Miller, J. (2011). Peloruside A inhibits microtubule dynamics in MCF7 breast cancer cells. In 25th Conference of the Microscopy Society of New Zealand. Wellington, New Zealand.
Chan, A., Andreae, P., Northcote, P., & Miller, J. (2011). Peloruside A inhibits microtubule dynamics in a breast cancer cell line MCF7. Invest New Drugs, 29, 615-626. doi:10.1007/s10637-010-9398-2
Bell, T., Andreae, P., & Lambert, L. (2010). Computer Science in New Zealand High Schools. Conferences in Research and Practice in Information Technology Series, 103, 15-22.
Benson, E., & Andreae, P. (2010). Sketch Interaction in Real Time Strategy Games. In Proceedings of the 7th Australian Conference on Interactive Entertainment. Wellington: ACM.
Khrypko, I., & Andreae, P. (2010). Towards the Problem of Maintaining Suspense in Interative Narrative. In Proceedings of the 7th Australian Conference on Interactive Entertainment. Wellington: ACM.
Gao, X., Andreae, P., & Man, S. (2010). Clustering Log Files to Identify Common Malicious Networking Attacks. In The 2nd International Conference on Advanced Intelligence (pp. 145-152).
Bell, T., Andreae, P., & Lambert, L. (2010). Computer Science in NZ High Schools. In T. Clear, & J. Hamer (Eds.), Proceedings of the Twelfth Australasian Computing Education Conference (ACE) (pp. 15-22). Brisbane: ACM.
Nguyen, G., Gao, X., & Andreae, P. (2009). Text Categorization for Vietnamese Documents. In Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology (pp. 466-469). Washington, DC: IEEE Computer Society.
Cassell, K., Andreae, P., Groves, L., & Noble, J. (2009). Towards Automating Class-Splitting Using Betweenness Clustering. In ASE 2009 (pp. 595-599). Washington, DC: IEEE Computer Society.
Nguyen, G., Gao, X., & Andreae, P. (2009). Vietnamese Document Representation and Classification. In A. Nicholson, & X. Li (Eds.), AI 2009: Advances in Artificial Intelligence, 22nd Australasian Joint Conference (pp. 577-586). Berlin: Springer.
Wojnar, M., & Andreae, P. (2009). HOPPER: a hierarchical planning agent for unpredictable domains. In Proceedings of the Thirty-Second Australasian Computer Science Conference (ACSC 2009) Vol. 91 (pp. 73-81). Wellington, New Zealand.
Wojnar, M., & Andreae, P. (2009). HOPPER: A hierarchical planning agent for unpredictable domains. In Conferences in Research and Practice in Information Technology Series Vol. 91 (pp. 85-93).
Stanley, E., Mogin, P., & Andreae, P. (2009). S.E.A.L. - A Query Language for Entity-Association Queries. In Conferences in Research and Practice in Information Technology Series Vol. 92 (pp. 69-78).
Miller, J., Chan, A., Giannakakou, P., Andreae, P., & Northcote, P. (2009). Peloruside A inhibits microtubule dynamics in a breast cancer cell line. In ComBio 2009. Christchurch.
Stanley, E., Mogin, P., & Andreae, P. (2009). S.E.A.L. - A Query Language for Entity-Association Queries. In A. Bouguettaya, & X. Lin (Eds.), Proceedings of the 20th Australasian Database Conference (ADC 2009) Vol. 92 (pp. 67-76). Wellington.
Neshatian, K., Zhang, M., & Andreae, P. (2008). Genetic Programming for Feature Ranking in Classification Problems. In X. Li, & E. al (Eds.), Proceedings of the seventh International Conference on Simulated Evolution and Learning (SEAL'08). Vol. 5361 (pp. 544-554). Berlin: Springer.
Zhang, Y., & Andreae, P. (2008). Iterative Neighbourhood Similarity Computation for Collaborative Filtering. In Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (pp. 806-809). Sydney: IEEE Computer Society.
Xie, H., Zhang, M., & Andreae, P. (2008). An analysis of the distribution of swapped subtree sizes in tree-based genetic programming. In 2008 IEEE Congress on Evolutionary Computation, CEC 2008 (pp. 2859-2866). doi:10.1109/CEC.2008.4631181
Xie, H., Zhang, M., Andreae, P., & Johnston, M. (2008). Is the not-sampled issue in tournament selection critical?. In 2008 IEEE Congress on Evolutionary Computation, CEC 2008 (pp. 3710-3717). doi:10.1109/CEC.2008.4631300
Andreae, P., Xie, H., & Zhang, M. (2008). Genetic Programming for Detecting Rhythmic Stress in Spoken English. International Journal of Knowledge-Based and Intelligent Engineering Systems. Special Issue on Genertic Programming, 12(1), 15-28.
Xie, H., Zhang, M., Andreae, P., & Johnston, M. (2008). FAn Analysis of Multi-Sampled Issue and No-Replacement Tournament Selection. In Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2008) (pp. 1323-1330). Atlanta, USA: ACM Press.
Xie, H., Zhang, M., & Andreae, P. (2008). An Analysis of the Distribution of Swapped Subtree Sizes in Tree-based Genetic Programming. In Proceedings of the 2008 IEEE Congress on Evolutionary Computation (pp. 2864-2971). Hong Kong: IEEE Press.
Xie, H., Zhang, M., Andreae, P., & Johnston, M. (2008). An Analysis of Multi-Sampled Issue and No-Replacement Tournament Selection. In Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2008) (pp. 1323-1330). Atlanta, USA: ACM Press.
Xie, H., Zhang, M., Andreae, P., & Johnston, M. (2008). Is the not-sampled issue in tournament selection critical?. In Proceedings of the 2008 IEEE Congress on Evolutionary Computation (pp. 3711-3718). Hong Kong: IEEE Press.
Crabtree, D., Andreae, P., & Gao, X. (2007). Exploiting Underrepresented Query Aspects for Automatic Query Expansion. In P. Berkhin, R. Caruana, X. Wu, & S. Gaffney (Eds.), Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 191-200). New York: ACM.
Xie, H., Zhang, M., & Andreae, P. (2007). Genetic Programming for New Zealand {CPI} inflation prediction. In D. Srinivasan, & L. Wang (Eds.), 2007 IEEE Congress on Evolutionary Computation (CEC 2007) (pp. 2538-2545). Singapore: IEEE Press. doi:10.1109/cec.2007.4424790
Xie, H., Zhang, M., & Andreae, P. (2007). An analysis of depth of crossover points in tree-based Genetic Programming. In Proceedings of the 2007 IEEE Congress on Evolutionary Computation (pp. 4561-4568). Singapore: IEEE Press. doi:10.1109/CEC.2007.4425069
Crabtree, D., Andreae, P., & Gao, X. (2007). Understanding query aspects with applications to interactive query expansion. In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007 (pp. 691-695). doi:10.1109/WI.2007.4427175
Crabtree, D., Andreae, P., & Gao, X. (2007). Understanding Query Aspects with applications to Interactive Query Expansion. In T. Lin, & E. al (Eds.), Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI 2007) (pp. 691-695). Los Alamitos: IEEE Computer Society. doi:10.1109/WI.2007.30
Xie, H., Zhang, M., & Andreae, P. (2007). An analysis of constructive crossover and selection pressure in Genetic Programming. In D. Thierens (Ed.), Genetic and Evolutionary Computation Conference (GECCO'07) Vol. 2 (pp. 1739-1746). New York: ACM (Assoc. for Computing Machinery).
Xie, H., Zhang, M., & Andreae, P. (2007). Another investigation on tournament selection: Modelling and visualisation. In Proceedings of GECCO 2007: Genetic and Evolutionary Computation Conference (pp. 1468-1475). doi:10.1145/1276958.1277226
Smart, W., Andreae, P., & Zhang, M. (n.d.). Empirical Analysis of GP Tree-Fragments. In Lecture Notes in Computer Science (pp. 55-67). Springer Berlin Heidelberg. doi:10.1007/978-3-540-71605-1_6
Huayang, X., Zhang, M., & Andreae, P. (2007). Another investigation on tournament selection: modelling and visulisation. In Genetic and evolutionary Computation Conference (pp. 1468-1475). ACM Press. doi:10.1145/276958.1277226
Xie, H., Zhang, M., & Andreae, P. (2007). Not-sampled issue and round-replacement tournament selection. Wellington: University of Wellington, SMSCS.
Smart, W., Andreae, P., & Zhang, M. (2007). Empirical analysis of GP tree-fragments. In M. Ebner, & E. al (Eds.), Genetic Programming: 10th European Conference, EuroGP 2007, Valencia, Spain, April 11-13, 2007 Proceedings, Lecture Notes in Computer Science Vol. 4445 (pp. 55-67). Berlin: Springer. doi:10.1007/978-3-540-71605-1
Crabtree, D., Andreae, P., & Gao, X. (2007). QC4 - A Clustering Evaluation Method. In Z. H. Zhou, H. Li, & Q. Yang (Eds.), Advances in Knowledge Discovery and Data Mining, 11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007, Proceedings (pp. 59-70). Berlin: Springer.
Roehr, T., Carnegie, D., & Andreae, P. (2007). Developing a Robust Control System for a Team of Autonomous Mobile Robots. In D. Carnegie, & P. Teal (Eds.), Proceedings of the Fourteenth Electronics New Zealand Conference: ENZCom 2007 (pp. 273-278). Wellington: Electronics New Zealand.
Xie, H., Zhang, M., & Andreae, P. (2006). Automatic Selection Pressure Control in Genetic Programming. In B. Yang, & Y. Chen (Eds.), Proceedings of the Sixth International Conference on Intelligent System Design and Applications (ISDA'06) (pp. 435-440). Washington, DC: IEEE Press. doi:10.1109/ISDA.2006.116
Xie, H., Zhang, M., & Andreae, P. (2006). A Study of Good Predecessor Programs for Reducing Fitness Evaluation Cost in Genetic Programming. In Proceedings of IEEE Congress on Evolutionary Computation. Vancouver BC, Canada (pp. 2661-2668). Piscataway, NJ: IEEE Computer Soc. Press.
Xie, H., Zhang, M., & Andreae, P. (2006). Genetic Programming for Automatic Stress Detection in Spoken English. In Applications of Evolutionary Applications, Lecture Notes in Computer Science (Vol. 3907, pp. 460-471). Berlin: Springer. doi:10.1007/11732242_41
Xie, H., Zhang, M., & Andreae, P. (2006). Population Clustering in Genetic Programming. In P. Collet, M. Tomassini, M. Ebner, S. Gustafson, & A. Ekar (Eds.), Lecture Notes in Computer Science (Vol. 3905, pp. 190-201). Berlin: Springer. doi:10.1007/11729976_17
Stojmirovic, A., Andreae, P., Boland, M., Jordan, T. W., & Pestov, V. G. (2006). PFMFind: a system for discovery of peptide homology and function. doi:10.48550/arxiv.q-bio/0603011
Crabtree, D., Andreae, P., & Gao, X. (2006). Query directed web page clustering. In J. Liu, & B. Wah (Eds.), 2006 IEEE/WIC/ACM International conference on Web Intelligence (pp. 202-210). Hong Kong: IEEE. Retrieved from http://dl.acm.org/citation.cfm?id=1249089
Stojmirovic, A., Andreae, P., Boland, M., Jordan, T., & Pestov, V. (2006). PFMFind: a system for discovery of peptide homology and function [Computer Software]. arXiv (Quantitative Biology).
Crabtree, D., Gao, X., & Andreae, P. (2005). Standardized evaluation method for web clustering results. In Proceedings of the 2005 IEEE/WIC/ACM international conference on web intelligence (pp. 280-283). Compiegne: International Conference on Web Intelligence.
Crabtree, D., Gao, X., & Andreae, P. (2005). Improving web clustering by cluster selection. In Proceedings of the 2005 IEEE/WIC/ACM international conference on Web Intelligence (pp. 172-178). Compiegne: International Conference on Web Intelligence.
Crabtree, D., Gao, X., & Andreae, P. (2005). Universal evaluation methods for web clustering results. In Unknown Conference (pp. 1-10). Wellington: Victoria University of Wellington, SMSCS.
Zhang, M., Andreae, P., & Bhowan, U. (2004). A two phase genetic programming approach to object detection. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3215, 232-245.
Xie, J., Andreae, P., Zhang, M., & Warren, P. (2004). Learning Models for English Speech Recognition. Australian Computer Science Communications, 26(7), 323-330.
Gao, X., Zhang, M., & Andreae, P. (2004). Automatic Pattern Construction for Web Information Extraction. International Journal of Uncertainty, Fuzziness and Knowledge Based Systems, 12(4), 447-470.
Xie, J., Andreae, P., Zhang, M., & Warren, P. (2004). Detecting Stress in Spoken English Using Decision Trees and Support Vector Machines. Australian Computer Science Communications, 26(7), 145-150.
Andreae, P., Bhowan, U., & Zhang, M. (2004). A two phase genetic programming approach to object detection. In M. Negotia, R. Howlett, & L. Jain (Eds.), Lecture notes in artificial intelligence: eighth international conference on knowledge based intelligent information and engineering systems (pp. 224-231).
Andreae, P., Collins, R., & Gao, X. (2004). A Two Phase Genetic Programming Approach to Object Detection. In L. Zhang, H. Guesgen, & W. Yeap (Eds.), Lecture Notes in Artificial Intelligence: Eighth International Conference on Knowledge Based Intelligent Information and Engineering Systems (pp. 585-594). New York: Springer.
Andreae, P., Collins, R., & Gao, X. (2004). Approximately Repetitive Structure Detection for Wrapper Induction. Wellington: Victoria University of Wellington, SMCS.
Andreae, P., Bhowan, U., & Zhang, M. (2004). A Two Phase Genetic Programming Approach to Object Detection. D. Pairman, H. North, & S. McNeill (Eds.), Wellington: VUW SMCS.
Andreae, P., Collins, R., & Gao, X. (2004). Approximately Repetitive Structure Detection for Wrapper Induction. In Proceedings of the 8th Pacific Rim International Conference on Artificial Intelligence Vol. 3157 (pp. 585-594). Auckland: PRICAI.
Xie, J., Andreae, P., Zhang, M., & Warren, P. (2004). Detecting stress in spoken English using decision trees and support vector machines. In M. Purvis (Ed.), Proceedings of Australasian workshop on Data Mining and Web Intelligence (DMWI2004) (pp. 145-150). Dunedin, New Zealand.
Xie, J., Andreae, P., Zhang, M., & Warren, P. (2004). Learning models for English speech recognition. In Proceedings of the twenty-seventh Australasian computer science Conference (ACSC2004) Vol. 26 (pp. 323-329). Dunedin: Australasian Computer Science Conference.
Zhang, M., Ciesielski, V., & Andreae, P. (2003). A Domain-Independent Window Approach to Multiclass Object Detection Using Genetic Programming. EURASIP Journal on Applied Signal Processing. Special Issue on Genetic and Evolutionary Computation for Signal Processing and Image Analysis, 2003(8), 841-859.
Andreae, P., Xie, J., Warren, P., & Zhang, M. (2003). Learning Models for English Speech Recognition. Wellington: VUW SMCS.
Gao, X., Zhang, M., & Andreae, P. (2003). Learning Information Extraction Patterns from Tabular Web Pages without Manual Labelling. In J. Liu (Ed.), Proceedings of the IEEE/ WIC International Conference on Web Intelligence (pp. 495-498). Washington, D.C.: IEEE Computer Society. Retrieved from http://csdl.computer.org/comp/proceedings/wi/2003/1932/00/19320495abs.htm
Andreae, P., Ciesielski, V., & Zhang, M. (2003). A Domain Independent Window-Approach to Multiclass Object Detection Using Genetic Programming. EURASIP Journal on Applied Signal Processing, 8, 841-859.
Zhang, M., Andreae, P., & Pritchard, M. (2003). Pixel Statistics and False Alarm Area in Genetic Programming for Object Detection. In S. Cagnoni, & E. al (Eds.), Proceedings of the European Conference on Genetic Programming for Image Analysis and Signal Processing, Applications of Evolutionaty Computing Vol. 2611 (pp. 455-466). Heidelberg, Germany: Springer.
Andreae, P., Warren, P., Xie, J., & Zhang, M. (2003). Detecting Stress in Spoken English using Decision Trees and Support Vector Machines. Wellington: VUW SMCS.
Andreae, P., Gao, X., & Zhang, M. (2003). Learning Information Extraction Patterns from Tabular Web Pages without Manual Labelling. Wellington: Victoria University of Wellington, SMCS.
Molla, M., Andreae, P., Glasner, J., Blattner, F., & Shavlik, J. (2002). Interpreting Microarray Expression Data Using Text Annotating the Genes. In Proceedings of the Joint Conference on Information Sciences Vol. 6 (pp. 1224-1230).
Molla, M., Andreae, P., Glasner, J., Blattner, F., & Shavlik, J. (2002). Interpreting microarray expression data using text annotating the genes. Information Sciences, 146(1-4), 75-88. doi:10.1016/S0020-0255(02)00216-5
Molla, M., Andreae, P., Glasner, F., Blattner, F., & Shavlik, J. (2002). Interpreting microarray expression data using the text annotating the Genes. Journal of Information Sciences, 146(1), 73-86.
Zhang, M., Ciesielski, V., & Andreae, P. (2002). An independent approach to multiclass object detection using genetic programming. Wellington: VUW SMCS.
Zhang, M., Andreae, P., & Chow, R. (2002). Pixel statistics based neural networks for domain independent multiclass object detection. Wellington: VUW SMCS.
Zhang, M., Andreae, P., & Chow, R. (2002). Pixel statistics based neural networks for domain independent multiclass object detection. In D. Kenwright (Ed.), Proceedings of Image and vision computing (pp. 279-284). Auckland: Wickliffe.
Zhang, M., Andreae, P., & Pritchard, M. (2002). Pixel statistics and false alarm area in genetic programming. Wellington: VUW SMCS.
Andreae, P., Biddle, R., Dobbie, G., Gale, A., Miller, I., & Tempero, E. (2000). Experience teaching CS1 with Java. Journal of Computer Science Education, 14(1-2), 19-28.
Dobbie, G., & Andreae, P. (1999). Problems with OOFNF: a proposed normal form for object oriented databases. Wellington: VUW SMCS.
Andreae, P., Biddle, R., Dobbie, G., Gale, A., Miller, I., & Tempero, E. (1999). Experience teaching CS1 with Java. Wellington: VUW SMCS.
Hall, P., Ngan, M., & Andreae, P. (1998). Reconstructing vascular skeletons from x-ray angiograms. In Proceedings of SPIE - The International Society for Optical Engineering Vol. 3338 (pp. 480-491). doi:10.1117/12.310927
Raman, A., Andreae, P., & Patrick, J. (1998). A beam search algorithm for PFSA inference. Pattern Analysis and Applications, 1(2), 121-129. doi:10.1007/BF01237940
Brown, J., Andreae, P., Biddle, R., & Tempero, E. (1997). Women in introductory computer science. In Proceedings of the twenty-eighth SIGCSE technical symposium on Computer science education. ACM. doi:10.1145/268084.268128
Hall, P., Ngan, M., & Andreae, P. (1997). Reconstruction of vascular networks using three-dimensional models. IEEE Transactions on Medical Imaging, 16(6), 919-929. doi:10.1109/42.650888
Brown, J., Andreae, P., Biddle, R., & Tempero, E. (1997). Women in introductory computer science: Experience at Victoria University of Wellington. SIGCSE Bulletin (Association for Computing Machinery, Special Interest Group on Computer Science Education), 29(1), 111-115. doi:10.1145/268085.268128
Hall, P., Ngan, M., & Andreae, P. (1996). Reconstruction of blood vessel networks from x-ray projections and a vascular catalogue. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 1065 (pp. 293-303). doi:10.1007/3-540-61123-1_148
Hall, P., Andreae, P., & Ngan, M. (1995). Reconstruction of blood vessel networks from a few perspective projections. In Proceedings - 1995 2nd New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, ANNES 1995 (pp. 369-372). doi:10.1109/ANNES.1995.499510
Dawkins, B. P., Andreae, P. M., & O’Connor, P. M. (1994). Analysis of olympic heptathlon data. Journal of the American Statistical Association, 89(427), 1100-1106. doi:10.1080/01621459.1994.10476848
Andreae, J. H., Ryan, S. W., Tomlinson, M. L., & Andreae, P. M. (1993). Structure from associative learning. International Journal of Man-Machine Studies, 39(6), 1031-1050. doi:10.1006/imms.1993.1094
Andreae, P. (1987). Constraint Limited Generalization: Acquiring Procedures from Examples. In Matters of Intelligence (pp. 311-331). Springer Netherlands. doi:10.1007/978-94-009-3833-5_14
Finlay, J. B., Bourne, R. B., Andreae, P., & Landsberg, R. P. (1984). ROLE OF THE SUBCHONDRAL BONE-PLATE IN THE LONGEVITY OF ACETABULAR PROSTHESES.. In Unknown Conference (pp. 73-74).
Finlay, J. B., Bourne, R. B., Andreae, P., & Papadopoulos, P. V. (1984). TIBIAL STRAINS IN THE OSTEOARTHRITIC KNEE IN VITRO: VARUS/VALGUS LOADING.. In Unknown Conference (pp. 71-72).
Andreae, P. M. (1983). CONSTRAINT LIMITED GENERALIZATION: ACQUIRING PROCEDURES FROM EXAMPLES.. In Unknown Conference (pp. 6-10).
Andreae, J. H., & Andreae, P. M. (1979). MACHINE LEARNING WITH A MULTIPLE CONTEXT.. Proceedings - International Conference on Cybernetics and Society, 734-739.
Andreae, P. M., & Andreae, J. H. (1978). A teachable machine in the real world. International Journal of Man-Machine Studies, 10(3), 301-312. doi:10.1016/S0020-7373(78)80048-0
Research Interests
My research interests lie in machine learning, particularly learning from complex structured information.- My longstanding interest is in intelligent agents that learn within richly structured worlds, generalise from past experience, and have novel exploratory behaviours.
- I have done various projects in the area of clustering algorithms, including applications in bioinformatics, web search, and clustering logs of internet attacks.