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2025 Journal Article A mixed‐methods approach to understand victimization discourses by opposing feminist sub‐groups on social mediaMaxwell, Christina, Selvanathan, Hema Preya, Hames, Sam, Crimston, Charlie R. and Jetten, Jolanda (2025). A mixed‐methods approach to understand victimization discourses by opposing feminist sub‐groups on social media. British Journal of Social Psychology, 64 (1) e12785, e12785. doi: 10.1111/bjso.12785 |
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2024 Journal Article Mapping and measuring neighbourhood social media groups. The case of facebookZahnow, Renee, Verrier, Jeremy, Hames, Sam and Corcoran, Jonathan (2024). Mapping and measuring neighbourhood social media groups. The case of facebook. Applied Geography, 172 103415, 103415. doi: 10.1016/j.apgeog.2024.103415 |
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2024 Other Outputs Introduction to Computational Text Analytics (Workshop)Schweinberger, Martin and Hames, Sam (2024). Introduction to Computational Text Analytics (Workshop). Brisbane, QLD Australia: The University of Queensland. |
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2024 Journal Article The coordination network toolkit: a framework for detecting and analysing coordinated behaviour on social mediaGraham, Timothy, Hames, Sam and Alpert, Elizabeth (2024). The coordination network toolkit: a framework for detecting and analysing coordinated behaviour on social media. Journal of Computational Social Science, 7 (2), 1139-1160. doi: 10.1007/s42001-024-00260-z |
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2023 Conference Publication Who swears most – and in what social settings?Schweinberger, Martin, Fatemi, Masoud, Hames, Sam, Haugh, Michael, Laitinen, Mikko, Rautionaho, Paula and Takahashi, Marissa (2023). Who swears most – and in what social settings?. 7th Meeting of the International Society for the Linguistics of English (ISLE7), Brisbane, QLD, Australia, 19-23 June 2023. Brisbane, QLD, Australia: University of Queensland. |
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2023 Other Outputs Data in the humanities with text analyticsSchweinberger, Martin and Hames, Sam (2023). Data in the humanities with text analytics. Brisbane, QLD, Australia: The University of Queensland. |
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2023 Journal Article Centralising qualitative research in big data methods through algorithmic ethnographyBarnes, Naomi and Hames, Samuel (2023). Centralising qualitative research in big data methods through algorithmic ethnography. Journal of Digital Social Research, 5 (1), 90-108. doi: 10.33621/jdsr.v5i1.129 |
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2023 Journal Article What is the hype on # MedicinalCannabis in the United States? A content analysis of medicinal cannabis tweetsLim, Carmen C. W., Sun, Tianze, Gartner, Coral, Connor, Jason, Fahmi, Marco, Hall, Wayne, Hames, Sam, Stjepanović, Daniel, Chan, Gary and Leung, Janni (2023). What is the hype on # MedicinalCannabis in the United States? A content analysis of medicinal cannabis tweets. Drug and Alcohol Review, 43 (1), 28-35. doi: 10.1111/dar.13618 |
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2022 Other Outputs Data driven non-invasive assessment of human skinHames, Samuel (2022). Data driven non-invasive assessment of human skin. PhD Thesis, Faculty of Medicine, The University of Queensland. doi: 10.14264/68caa49 |
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2021 Journal Article Towards data-driven quantification of skin ageing using reflectance confocal microscopyHames, Samuel C., Bradley, Andrew P., Ardigo, Marco, Soyer, H. Peter and Prow, Tarl W. (2021). Towards data-driven quantification of skin ageing using reflectance confocal microscopy. International Journal of Cosmetic Science, 43 (4), 466-473. doi: 10.1111/ics.12720 |
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2021 Journal Article #IStandWithDan versus #DictatorDan: the polarised dynamics of Twitter discussions about Victoria's COVID-19 restrictionsGraham, Timothy, Bruns, Axel, Angus, Daniel, Hurcombe, Edward and Hames, Sam (2021). #IStandWithDan versus #DictatorDan: the polarised dynamics of Twitter discussions about Victoria's COVID-19 restrictions. Media International Australia , 179 (1), 127-148. doi: 10.1177/1329878x20981780 |
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2021 Journal Article Analysing discourse around COVID-19 in the Australian Twittersphere: a real-time corpus-based analysisSchweinberger, Martin, Haugh, Michael and Hames, Sam (2021). Analysing discourse around COVID-19 in the Australian Twittersphere: a real-time corpus-based analysis. Big Data and Society, 8 (1), 205395172110214. doi: 10.1177/20539517211021437 |
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2017 Book Chapter Computational methods in skin confocal microscopyKose, Kivanc and Hames, Samuel C. (2017). Computational methods in skin confocal microscopy. Reflectance confocal microscopy of cutaneous tumors. (pp. 26-36) edited by Salvador Gonzalez. Boca Raton, FL, United States: CRC Press. doi: 10.1201/9781315113722-11 |
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2016 Journal Article Automated segmentation of skin strata in reflectance confocal microscopy depth stacksHames, Samuel C., Ardigò, Marco, Soyer, H. Peter, Bradley, Andrew P. and Prow, Tarl W. (2016). Automated segmentation of skin strata in reflectance confocal microscopy depth stacks. PLoS One, 11 (4) e0153208, e0153208. doi: 10.1371/journal.pone.0153208 |
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2016 Conference Publication Anatomical skin segmentation in reflectance confocal microscopy with weak labelsHames, Samuel C., Ardigo, Marco, Soyer, H. Peter, Bradley, Andrew P. and Prow, Tarl W. (2016). Anatomical skin segmentation in reflectance confocal microscopy with weak labels. International Conference on Digital Image Computing: Techniques and Applications, DICTA 2015, Adelaide, Australia, 23-25 November 2015. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA.2015.7371231 |
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2015 Journal Article Automated detection of actinic keratoses in clinical photographsHames, Samuel C., Sinnya, Sudipta, Tan, Jean-Marie, Morze Conrad, Sahebian, Azadeh, Soyer, H. Peter and Prow, Tarl W. (2015). Automated detection of actinic keratoses in clinical photographs. PLoS ONE, 10 (1) e0112447, e0112447.1-e0112447.12. doi: 10.1371/journal.pone.0112447 |
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2015 Journal Article The future of keratinocyte skin cancer surveillance: automated image analysis to identify and monitor keratinocyte dysplasiaHames, S. C. and Prow, T. W. (2015). The future of keratinocyte skin cancer surveillance: automated image analysis to identify and monitor keratinocyte dysplasia. Current Problems in Dermatology, 46, 77-84. doi: 10.1159/000366540 |
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2015 Conference Publication Segmentation of skin strata in reflectance confocal microscopy depth stacksHames, Samuel C., Ardigo, Marco, Soyer, H. Peter, Bradley, Andrew P. and Prow, Tari W. (2015). Segmentation of skin strata in reflectance confocal microscopy depth stacks. Medical Imaging 2015: Image Processing, Orlando, FL United States, 24-26 February 2015. Bellingham, WA United States: S P I E - International Society for Optical Engineering. doi: 10.1117/12.2081737 |
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2015 Journal Article Counting actinic keratosis – is photographic assessment a reliable alternative to physical examination in clinical trials?Sinnya, Sudipta, O'Rourke, Peter, Ballard, Emma, Tan, Jean M., Morze, Conrad, Sahebian, Azadeh, Hames, Sam C., Prow, Tarl W., Green, Adele C. and Soyer, H. Peter (2015). Counting actinic keratosis – is photographic assessment a reliable alternative to physical examination in clinical trials?. Acta Dermato-Venereologica, 95 (5), 604-605. doi: 10.2340/00015555-2040 |
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2013 Conference Publication Intra and interobserver variability of counting actinic keratoses in the era of photographic documentation: a reliability consensus studySinnya, S., Tan, J. M., O'Rourke, P., Hames, S., Morze, C., Sahebian, A., Patel, N., Green, A., Prow, T. and Soyer, H. P. (2013). Intra and interobserver variability of counting actinic keratoses in the era of photographic documentation: a reliability consensus study. The Australasian College of Dermatologists 46th Annual Scientific Meeting, Sydney, NSW, Australia, 19-22 May 2013. Richmond, VIC, Australia: Wiley-Blackwell Publishing Asia. doi: 10.1111/ajd.12051 |
