Publications in 2018

These are the publications by staff of the Computer Science department in 2018.

Note: Publications in 2019 on onwards (and all other years) are now to be found on this page.

This list was extracted (19/03/19) from the University of Otago staff publications database which is available here.

Scroll down to see links to individual staff member publication pages, where available.

Chapter in book

#258532 - Chapter in Book - Research (C1)

Eskandari, L., Mair, J., Huang, Z., & Eyers, D. (2018). A topology and traffic aware two-level scheduler for stream processing systems in a heterogeneous cluster. In D. B. Heras & L. Bouge (Eds.), Euro-Par 2017: Parallel processing workshops: Lecture notes in computer science (Vol. 10659). (pp. 68-79). Cham, Switzerland: Springer International. doi: 10.1007/978-3-319-75178-8_6

Journal articles

#258524 - Journal - Research Article (D1)

Albert, M. H., Homberger, C., Pantone, J., Shar, N., & Vatter, V. (2018). Generating permutations with restricted containers. Journal of Combinatorial Theory, Series A, 157, 205-232. doi: 10.1016/j.jcta.2018.02.006

#256831 - Journal - Research Article (D1)

Arghavani, A., Arghavani, M., Ahmadi, M., & Crane, P. (2018). Attacker-Manager Game Tree (AMGT): A new framework for visualizing and analysing the interactions between attacker and network security manager. Computer Networks, 133, 42-58. doi: 10.1016/j.comnet.2018.01.013

#260843 - Journal - Research Article (D1)

Arghavani, M., Zahedi, A., Parandin, F., & Arghavani, A. (2018). Energy efficient reservation-based cluster head selection in WSNs. Wireless Personal Communications, 100(3), 667-679. doi: 10.1007/s11277-017-5189-9

#262309 - Journal - Research Article (D1)

Eskandari, L., Mair, J., Huang, Z., & Eyers, D. (2018). T3-Scheduler: A topology and traffic aware two-level Scheduler for stream processing systems in a heterogeneous cluster. Future Generation Computer Systems, 89, 617-632. doi: 10.1016/j.future.2018.07.011

#252303 - Journal - Research Article (D1)

Feng, H., Eyers, D., Mills, S., Wu, Y., & Huang, Z. (2018). Principal component analysis based filtering for scalable, high precision k-NN search. IEEE Transactions on Computers, 67(2), 252-267. doi: 10.1109/TC.2017.2748131

#264317 - Journal - Research Article (D1)

Gao, X., Sun, Q., Xu, H., Wei, D., & Gao, J. (2018). Multi-model fusion metric learning for image set classification. Knowledge-Based Systems. Advance online publication. doi: 10.1016/j.knosys.2018.10.043

#260289 - Journal - Research Article (D1)

Goldberg, D., Trotman, A., Wang, X., Min, W., & Wan, Z. (2018). Further insights on drawing sound conclusions from noisy judgments. ACM Transactions on Information Systems, 36(4), 36. doi: 10.1145/3186195

#264837 - Journal - Research Article (D1)

Gould, A. L., Zhang, V., Lamberti, L., Jones, E. W., Obadia, B., Korasidis, N., Gavryushkin, A., Ludington, W. B. (2018). Microbiome interactions shape host fitness. PNAS. Advance online publication. doi: 10.1073/pnas.1809349115

#253870 - Journal - Research Article (D1)

Jack, M. W., Suomalainen, K., Dew, J. J. W., & Eyers, D. (2018). A minimal simulation of the electricity demand of a domestic hot water cylinder for smart control. Applied Energy, 211, 104-112. doi: 10.1016/j.apenergy.2017.11.044

#256853 - Journal - Research Article (D1)

Jackson, J. C., Jong, J., Bilkey, D., Whitehouse, H., Zollmann, S., McNaughton, C., & Halberstadt, J. (2018). Synchrony and physiological arousal Increase cohesion and cooperation in large naturalistic groups. Scientific Reports, 8, 127. doi: 10.1038/s41598-017-18023-4

#259571 - Journal - Research Article (D1)

Li, Y., Wang, K., Gu, H., Yang, Y., Su, N., Chen, Y., & Zhang, H. (2018). A joint optimization method for NoC topology generation. Journal of Supercomputing. Advance online publication. doi: 10.1007/s11227-018-2339-0

#260482 - Journal - Research Article (D1)

Lienkaemper, C., Lamberti, L., Drain, J., Beerenwinkel, N., & Gavryushkin, A. (2018). The geometry of partial fitness orders and an efficient method for detecting genetic interactions. Journal of Mathematical Biology. Advance online publication. doi: 10.1007/s00285-018-1237-7

#261709 - Journal - Research Article (D1)

McCane, B., & Szymanski, L. (2018). Efficiency of deep networks for radially symmetric functions. Neurocomputing. Advance online publication. doi: 10.1016/j.neucom.2018.06.003

#261219 - Journal - Research Article (D1)

Ombler, F., Albert, M., & Hansen, P. (2018). How significant are "high" correlations between EQ-5D value sets? Medical Decision Making. Advance online publication. doi: 10.1177/0272989x18778295

#251014 - Journal - Research Article (D1)

Pasquier, T., Singh, J., Powles, J., Eyers, D., Seltzer, M., & Bacon, J. (2018). Data provenance to audit compliance with privacy policy in the Internet of Things. Personal & Ubiquitous Computing, 22(2), 333-344. doi: 10.1007/s00779-017-1067-4

#263296 - Journal - Research Article (D1)

Shen, X.-l., Dou, Y., Mills, S., Eyers, D. M., Feng, H., & Huang, Z. (2018). Distributed sparse bundle adjustment algorithm based on three-dimensional point partition and asynchronous communication. Frontiers of Information Technology & Electronic Engineering, 19(7), 889-904. doi: 10.1631/FITEE.1800173

#263822 - Journal - Research Article (D1)

Sullivan, T., Smith, J., Ombler, F., & Brayley-Morris, H. (2018). Prioritising the investigation of organised crime. Policing & Society. Advance online publication. doi: 10.1080/10439463.2018.1533961

#264419 - Journal - Research Article (D1)

Suomalainen, K., Eyers, D., Ford, R., Stephenson, J., Anderson, B., & Jack, M. (2018). Detailed comparison of energy-related time-use diaries and monitored residential electricity demand. Energy & Buildings. Advance online publication. doi: 10.1016/j.enbuild.2018.11.002

#260143 - Journal - Research Article (D1)

Williams, J. N., Toy, V. G., Massiot, C., McNamara, D. D., Smith, S. A. F., & Mills, S. (2018). Controls on fault zone structure and brittle fracturing in the foliated hanging wall of the Alpine Fault. Solid Earth, 9, 469-489. doi: 10.5194/se-9-469-2018

Conference contributions

#264533 - Conference Contribution - Published proceedings: Full paper (E1)

Atkinson, C., McCane, B., & Szymanski, L. (2018). Increasing the accuracy of convolutional neural networks with progressive reinitialisation. Proceedings of the International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ.2017.8402457[Full Paper]

#262291 - Conference Contribution - Published proceedings: Full paper (E1)

Bennani, H., Mills, S., Walter, R., & Greig, K. (2018). Photogrammetric debitage analysis: Measuring Māori toolmaking evidence. Proceedings of the International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ.2017.8402463[Full Paper]

#262288 - Conference Contribution - Published proceedings: Full paper (E1)

Cahill-Lane, J., & Mills, S. (2018). Of mice, men, and machines: Real and artificial deep networks for vision. Proceedings of the International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ.2017.8402453[Full Paper]

#265212 - Conference Contribution - Published proceedings: Abstract (E2)

Cappuccio, F., Toy, V., Mills, S., Gessner, K., & Wawryk, M. (2018). Examination of the relationships between fractures and mineralogical variation in DFDP cores from CT and HyLogger datasets. In M. Sagar & J. Prebble (Eds.), Geoscience Society of New Zealand Miscellaneous Publication. 151A, (pp. 40). Wellington, New Zealand: GSNZ. [Abstract]

#264823 - Conference Contribution - Published proceedings: Full paper (E1)

Crimp, R., & Trotman, A. (2018). Refining query expansion terms using query context. Proceedings of the 23rd Australasian Document Computing Symposium. ACM. doi: 10.1145/3291992.3292000[Full Paper]

#261718 - Conference Contribution - Published proceedings: Full paper (E1)

Eskandari, L., Mair, J., Huang, Z., & Eyers, D. (2018). Iterative scheduling for distributed stream processing systems. Proceedings of the 12th ACM International Conference on Distributed and Event-based Systems. (pp. 234-237). New York, NY: ACM. doi: 10.1145/3210284.3219768[Full Paper]

#264720 - Conference Contribution - Published proceedings: Full paper (E1)

Fedorov, A., Zhang, H., & Chen, Y. (2018). User localization using random access channel signals in LTE networks with massive MIMO. Proceedings of the 27th International Conference on Computer Communication and Networks (ICCCN). IEEE. doi: 10.1109/ICCCN.2018.8487359[Full Paper]

#260831 - Conference Contribution - Published proceedings: Full paper (E1)

Langlotz, T., Sutton, J., Zollmann, S., Itoh, Y., & Regenbrecht, H. (2018). ChromaGlasses: Computational glasses for compensating colour blindness. Proceedings of the CHI Conference on Human Factors in Computing Systems. 390. Montreal, Canada: ACM. doi: 10.1145/3173574.3173964[Full Paper]

#260067 - Conference Contribution - Published proceedings: Abstract (E2)

Langlotz, T., Tappeiner, E., Zollmann, S., Ventura, J., & Regenbrecht, H. (2018). Urban pointing: Browsing situated media using accurate pointing interfaces {Extended abstract]. Proceedings of the Computer Human Interaction (CHI) Conference on Human Factors in Computing Systems. LBW604. ACM: New York, NY. doi: 10.1145/3170427.3188565[Abstract]

#260527 - Conference Contribution - Published proceedings: Full paper (E1)

Mesbah, R., McCane, B., & Mills, S. (2018). Conditional random fields incorporate convolutional neural networks for human eye sclera semantic segmentation. Proceedings of the IEEE International Joint Conference on Biometrics (IJCB). (pp. 768-773). IEEE. doi: 10.1109/BTAS.2017.8272768[Full Paper]

#264687 - Conference Contribution - Published proceedings: Full paper (E1)

Mills, S. (2018). Four- and seven-point relative camera pose from oriented features. Proceedings of the International Conference on 3D Vision (3DV). (pp. 218-227). IEEE. doi: 10.1109/3DV.2018.00034[Full Paper]

#264725 - Conference Contribution - Published proceedings: Full paper (E1)

Ott, C., McCane, B., & Meek, N. (2018). Five years of Mastery Learning: What did we learn? Proceedings of the 18th Koli Calling International Conference on Computing Education Research. 33. doi: 10.1145/3279720.3279752[Full Paper]

#264694 - Conference Contribution - Published proceedings: Full paper (E1)

Pasquier, T., Han, X., Moyer, T., Bates, A., Hermant, O., Eyers, D., Seltzer, M. (2018). Runtime analysis of whole-system provenance. Proceedings of the ACM Conference on Computer and Communications Security (CCS). (pp. 1601-1616). doi: 10.1145/3243734.3243776[Full Paper]

#264727 - Conference Contribution - Published proceedings: Abstract (E2)

Robb, T., Blenkiron, C., Tsai, P., Parker, K., Drummond, A., Black, M., Gavryushkin, A., Print, C. (2018). Investigating tumour evolution in a single patient with disseminated cancer. Annals of Oncology, 29(Suppl. 9), (pp. ix156). doi: 10.1093/annonc/mdy425.018[Abstract]

#262940 - Conference Contribution - Published proceedings: Abstract (E2)

Robb, T., Blenkiron, C., Tsai, P., Parker, K., Drummond, A., Black, M., Gavryushkin, A., Print, C. (2018). Investigating tumour evolution in a single patient with disseminated cancer. Proceedings of the New Zealand Society for Oncology (NZSO) Conference. Retrieved from http://www.nzsoncology.org.nz/.[Abstract]

#262255 - Conference Contribution - Published proceedings: Full paper (E1)

Szymanski, L., & Mills, S. (2018). CNN for historic handwritten document search. Proceedings of the International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ.2017.8402461[Full Paper]

#264572 - Conference Contribution - Published proceedings: Full paper (E1)

Wang, Y., Huang, Z., McCane, B., & Neo, P. (2018). EmotioNet: A 3-D convolutional neural network for EEG-based emotion recognition. Proceedings of the International Joint Conference on Neural Networks (IJCNN). IEEE. doi: 10.1109/IJCNN.2018.8489715[Full Paper]

#265150 - Conference Contribution - Published proceedings: Full paper (E1)

Xu, H., McCane, B., & Szymanski, L. (2018). Twin bounded large margin distribution machine. In T. Mitrovic, B. Xue & X. Li (Eds.), Advances in artifical intelligence: Lecture notes in artificial intelligence (Vol. 11320). (pp. 718-729). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-03991-2_64[Full Paper]

#265148 - Conference Contribution - Published proceedings: Full paper (E1)

Yan, X., Knott, A., & Mills, S. (2018). A model for learning representations of 3D objects through tactile exploration: Effects of object asymmetries and landmarks. In T. Mitrovic, B. Xue & X. Li (Eds.), Advances in artifical intelligence: Lecture notes in artificial intelligence (Vol. 11320). (pp. 271-283). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-03991-2_27[Full Paper]

#261573 - Conference Contribution - Published proceedings: Full paper (E1)

Yang, W., Chen, Y., Huang, Z., & Zhang, H. (2018). RWADMM: Routing and wavelength assignment for distribution-based multiple multicasts in ONoC. Proceedings of the IEEE International Symposium on Parallel and Distributed Processing and IEEE International Conference on Ubiquitous Computing and Communications (IPSA/IUCC). (pp. 550-557). IEEE. doi: 10.1109/ISPA/IUCC.2017.00090[Full Paper]

#262741 - Conference Contribution - Published proceedings: Full paper (E1)

Zhang, F., Chen, Y., & Zhang, H. (2018). Difference function projective synchronization for secure communication based on complex chaotic systems. Proceedings of the 5th IEEE International Conference on Cyber Security and Cloud Computing and 4th IEEE International Conference on Edge Computing and Scalable Cloud (CSCloud/EdgeCom 2018). (pp. 52-57). IEEE. doi: 10.1109/CSCloud/EdgeCom.2018.00019[Full Paper]

#263474 - Conference Contribution - Published proceedings: Full paper (E1)

Zhang, F., Sun, K., Chen, Y., & Zhang, H. (2018). Adaptive tracking control and parameter identification for uncertain complex-variable chaotic systems. Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). (pp. 1288-1293). IEEE. doi: 10.1109/AIM.2018.8452451[Full Paper]

Working papers

#257806 - Working Paper; Discussion Paper; Technical Report (P)

Atkinson, C., McCane, B., Szymanski, L., & Robins, A. (2018). Pseudo-recursal: Solving the catastrophic forgetting problem in deep neural networks (v2). arXiv. Retrieved from https://arxiv.org/abs/1802.03875.

#264964 - Working Paper; Discussion Paper; Technical Report (P)

Atkinson, C., McCane, B., Szymanski, L., & Robins, A. (2018). Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting. arXiv. 8p. Retrieved from https://arxiv.org/abs/1812.02464.