Items where Subject is "46 INFORMATION AND COMPUTING SCIENCES > 4611 Machine learning > 461106 Semi- and unsupervised learning"

Fields of Research (57585)
- 46 INFORMATION AND COMPUTING SCIENCES (716)
  - 4611 Machine learning (130)
    - 461106 Semi- and unsupervised learning (7)

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Number of items at this level: 7.

C

Chaturvedi, Iti, Ragusa, Edoardo, Gastaldo, Paolo, and Cambria, Erik (2020) COAL: convolutional online adaptation learning for opinion mining. In: International Conference on Data Mining. pp. 15-22. From: ICDMW 2020: International Conference on Data Mining, 17-20 November 2020, Sorrento, Italy.

Chaturvedi, Iti, Cavallari, Sandro, Cambria, Erik, and Zheng, Vincent (2017) Learning word vectors in Deep Walk using convolution. In: Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference. pp. 323-328. From: FLAIRS-30: 30th International Florida Artificial Intelligence Research Society Conference, 22-24 May 2017, Marco Island, FL, USA.

D

Ditton, Elizabeth Rose (2022) Artificial Intelligence for autonomous persona generation to shape tailored communications and products and incentivise disaster preparation behaviours. PhD thesis, James Cook University.

Ditton, Elizabeth, Swinbourne, Anne, and Myers, Trina (2022) Selecting a clustering algorithm: A semi-automated hyperparameter tuning framework for effective persona development. Array, 14. 100186.

Da Costa, Arthur F., Manzato, Marcelo G., and Campello, Ricardo J.G.B. (2018) CoRec: a co-training approach for recommender systems. In: Proceedings of the 33rd Annual ACM Symposium on Applied Computing. pp. 696-703. From: SAC 18: 33rd Annual ACM Symposium on Applied Computing, 9-13 April 2018, Pau, France.

F

Forest, Elizabeth, Swinbourne, Anne, Myers, Trina, and Scovell, Mitchell (2021) Applying Semi-Automated Hyperparameter Tuning for Clustering Algorithms. In: [Presented at the 36th IEEE/ACM International Conference on Automated Software Engineering]. From: ASE 2021: 36th IEEE/ACM International Conference on Automated Software Engineering, 14-20 November 2021, Online.

L

Lu, Zhigang, and Shen, Hong (2019) A Convergent Differentially Private k-Means Clustering Algorithm. In: Lecture Notes in Computer Science (11439) pp. 612-624. From: PAKDD 2019: 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, 14-17 April 2019, Macau, China.

This list was generated on Mon Dec 23 22:45:25 2024 AEST.