Michalska, Sandra

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Number of items: 7.

Article

AfzaliSeresht, Neda, Miao, Yuan, Michalska, Sandra, Liu, Qing and Wang, Hua ORCID: 0000-0002-8465-0996 (2020) From Logs to Stories: Human-Centred Data Mining for Cyber Threat Intelligence. IEEE Access, 8. pp. 19089-19099. ISSN 2169-3536

Du, Jiahua, Rong, Jia ORCID: 0000-0002-9462-3924, Michalska, Sandra, Wang, Hua ORCID: 0000-0002-8465-0996 and Zhang, Yanchun ORCID: 0000-0002-5094-5980 (2019) Feature selection for helpfulness prediction of online product reviews: an empirical study. PLoS ONE, 14 (12). ISSN 1932-6203

Rong, Jia ORCID: 0000-0002-9462-3924, Michalska, Sandra, Subramani, Sudha ORCID: 0000-0002-8102-0278, Du, Jiahua and Wang, Hua ORCID: 0000-0002-8465-0996 (2019) Deep learning for pollen allergy surveillance from twitter in Australia. BMC Medical Informatics and Decision Making, 19. ISSN 1472-6947

Du, Jiahua, Michalska, Sandra, Subramani, Sudha ORCID: 0000-0002-8102-0278, Wang, Hua ORCID: 0000-0002-8465-0996 and Zhang, Yanchun ORCID: 0000-0002-5094-5980 (2019) Neural attention with character embeddings for hay fever detection from twitter. Health Information Science and Systems, 7. ISSN 2047-2501

Subramani, Sudha ORCID: 0000-0002-8102-0278, Michalska, Sandra, Wang, Hua ORCID: 0000-0002-8465-0996, Du, Jiahua, Zhang, Yanchun ORCID: 0000-0002-5094-5980 and Shakeel, H (2019) Deep Learning for Multi-Class Identification from Domestic Violence Online Posts. IEEE Access, 7. pp. 46210-46224. ISSN 2169-3536

Conference or Workshop Item

Sarki, R, Ahmed, Khandakar ORCID: 0000-0003-1043-2029, Wang, Hua ORCID: 0000-0002-8465-0996, Michalska, Sandra and Zhang, Yanchun ORCID: 0000-0002-5094-5980 (2020) Early Detection of Diabetic Eye Disease from Fundus Images with Deep Learning. In: 31st Australasian Database Conference, ADC 2020, 3-7 February, 2020, Melbourne, Vic..

Subramani, Sudha ORCID: 0000-0002-8102-0278, Michalska, Sandra, Wang, Hua ORCID: 0000-0002-8465-0996, Whittaker, Frank ORCID: 0000-0002-3728-0291 and Heyward, Ben (2018) Text Mining and Real-Time Analytics of Twitter Data: A Case Study of Australian Hay Fever Prediction. In: 7th International Conference on Health Information Science (HIS 2018), 5th October 2018 - 7th October 2018, Cairns, QLD, Australia.