Article

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.

Conference Item

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.

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.

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.

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.

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.