Publications
Root Cause Explanation of Outliers under Noisy Mechanisms
P Nguyen, T Tran, S Gupta, T Nguyen, S Venkatesh
(2024), Vol. 38, pp. 20508-20515, Proceedings of the AAAI Conference on Artificial Intelligence, E1
Explaining Black Box Drug Target Prediction through Model Agnostic Counterfactual Samples
T Nguyen, T Quinn, T Nguyen, T Tran
(2023), Vol. 20, pp. 1020-1029, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Piscataway, N.J., C1
Learning to discover medicines
M Nguyen, T Nguyen, T Tran
(2023), Vol. 16, pp. 301-316, International Journal of Data Science and Analytics, Berlin, Germany, C1
Normalizing flows for conditional independence testing
B Duong, T Nguyen
(2023), pp. 1-24, Knowledge and Information Systems, Berlin, Germany, C1
Causal Inference via Style Transfer for Out-of-distribution Generalisation
Toan Nguyen, Kien Do, Duc Nguyen, Bao Duong, Thin Nguyen
(2023), pp. 1-19, KDD 2023 : Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Long Beach, California, E1
Diffeomorphic Information Neural Estimation
B Duong, T Nguyen
(2023), Vol. 37, pp. 7468-7475, AAAI 2023 : Proceedings of the 37th AAAI Conference on Artificial Intelligence, Washington, D.C., E1
Heteroscedastic Causal Structure Learning
B Duong, T Nguyen
(2023), Vol. 372, pp. 598-605, ECAI & PAIS 2023 : Proceedings of the Combined 26th European Conference on Artificial Intelligence & 12th Conference on Prestigious Applications of Intelligent Systems, Krakow, Poland, E1
Differentiable Bayesian Structure Learning with Acyclicity Assurance
Q Tran, P Nguyen, B Duong, T Nguyen
(2023), pp. 598-607, Proceedings - IEEE International Conference on Data Mining, ICDM, E1
Graph Convolutional Networks for Drug Response Prediction
T Nguyen, G Nguyen, T Nguyen, D Le
(2022), Vol. 19, pp. 146-154, IEEE/ACM Transactions on Computational Biology and Bioinformatics, United States, C1
Deep auto-encoders with sequential learning for multimodal dimensional emotion recognition
D Nguyen, D Nguyen, R Zeng, T Nguyen, S Tran, T Nguyen, S Sridharan, C Fookes
(2022), pp. 1-10, IEEE transactions on multimedia, Piscataway, N.J., C1
Prescriptive analytics with differential privacy
H Harikumar, S Rana, S Gupta, T Nguyen, R Kaimal, S Venkatesh
(2022), Vol. 13, pp. 123-138, International Journal of Data Science and Analytics, C1
GEFA: early fusion approach in drug-target affinity prediction
Tri Nguyen, Thin Nguyen, Thao Le, Truyen Tran
(2022), Vol. 19, pp. 718-728, IEEE/ACM Transactions on Computational Biology and Bioinformatics, New York, N.Y., C1
T Nguyen, T Nguyen, T Tran
(2022), Vol. 23, Briefings in bioinformatics, England, C1
Causality-aided Recommendation Systems
T Nguyen, A Mohammed, B Duong, T Nguyen
(2022), Vol. 2022-July, pp. 1-6, IJCNN 2022 : Proceedings of the International Joint Conference on Neural Networks, Padua, Italy, E1
Efficient Classification with Counterfactual Reasoning and Active Learning
A Mohammed, D Nguyen, B Duong, T Nguyen
(2022), Vol. 13757, pp. 27-38, ACIIDS 2022 : Proceedings of the 14th Asian Conference on Intelligent Information and Database Systems, Ho Chi Minh City, Vietnam, E1
Conditional Independence Testing via Latent Representation Learning
B Duong, T Nguyen
(2022), Vol. 2022-November, pp. 121-130, ICDM 2022 : Proceedings of the 2022 IEEE International Conference on Data Mining, Orlando, Florida, E1
Bivariate Causal Discovery via Conditional Divergence
B Duong, T Nguyen
(2022), Vol. 177, pp. 236-252, CLeaR 2022 : Proceedings of the 1st Causal Learning and Reasoning Conference, Eureka, Calif., E1
GraphDTA: Predicting drug target binding affinity with graph neural networks
T Nguyen, H Le, T Quinn, T Nguyen, T Le, S Venkatesh
(2021), Vol. 37, pp. 1140-1147, Bioinformatics, England, C1-1
A graph-based approach for population health analysis using Geo-tagged tweets
H Nguyen, T Nguyen, D Nguyen
(2021), Vol. 80, pp. 7187-7204, Multimedia Tools and Applications, United States, C1
T Nguyen, P Pathirana, T Nguyen, Q Nguyen, A Bhatti, D Nguyen, D Nguyen, N Nguyen, D Creighton, M Abdelrazek
(2021), Vol. 11, pp. 3487-, Scientific reports, England, C1
pDriver: a novel method for unravelling personalized coding and miRNA cancer drivers
Vu Pham, Lin Liu, Cameron Bracken, Thin Nguyen, Gregory Goodall, Jiuyong Li, Thuc Le
(2021), Vol. 37, pp. 3285-3292, BIOINFORMATICS, England, C1
PAN: Personalized Annotation-Based Networks for the Prediction of Breast Cancer Relapse
T Nguyen, S Lee, T Quinn, B Truong, X Li, T Tran, S Venkatesh, T Le
(2021), Vol. 18, pp. 2841-2847, IEEE/ACM Transactions on Computational Biology and Bioinformatics, United States, C1
B O'Dea, T Boonstra, M Larsen, T Nguyen, S Venkatesh, H Christensen
(2021), Vol. 16, PLoS ONE, United States, C1
Crowdsourced mapping of unexplored target space of kinase inhibitors
Anna Cichonska, Balaguru Ravikumar, Robert Allaway, Fangping Wan, Sungjoon Park, Olexandr Isayev, Shuya Li, Michael Mason, Andrew Lamb, Ziaurrehman Tanoli, Minji Jeon, Sunkyu Kim, Mariya Popova, Stephen Capuzzi, Jianyang Zeng, Kristen Dang, Gregory Koytiger, Jaewoo Kang, Carrow Wells, Timothy Willson, Tudor Oprea, Avner Schlessinger, David Drewry, Gustavo Stolovitzky, Krister Wennerberg, Justin Guinney, Tero Aittokallio, Mehmet Tan, Chih-Han Huang, Edward Shih, Tsai-Min Chen, Chih-Hsun Wu, Wei-Quan Fang, Jhih-Yu Chen, Ming-Jing Hwang, Xiaokang Wang, Marouen Ben Guebila, Behrouz Shamsaei, Sourav Singh, Thin Nguyen, Mostafa Karimi, Di Wu, Zhangyang Wang, Yang Shen, Hakime Ozturk, Elif Ozkirimli, Arzucan Ozgur, Hansaim Lim, Lei Xie, Georgi Kanev, Albert Kooistra, Bart Westerman, Panagiotis Terzopoulos, Konstantinos Ntagiantas, Christos Fotis, Leonidas Alexopoulos, Dimitri Boeckaerts, Michiel Stock, Bernard De Baets, Yves Briers, Yunan Luo, Hailin Hu, Jian Peng, Tunca Dogan, Ahmet Rifaioglu, Heval Atas, Rengul Atalay, Volkan Atalay, Maria Martin, Junhyun Lee, Seongjun Yun, Bumsoo Kim, Buru Chang, Gabor Turu, Adam Misak, Bence Szalai, Laszlo Hunyady, Matthias Lienhard, Paul Prasse, Ivo Bachmann, Julia Ganzlin, Gal Barel, Ralf Herwig, Davor Orsolic, Bono Lucic, Visnja Stepanic, Tomislav Smuc
(2021), Vol. 12, NATURE COMMUNICATIONS, England, C1
Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices
T Nguyen, M Larsen, B O'Dea, H Nguyen, D Nguyen, J Yearwood, D Phung, S Venkatesh, H Christensen
(2020), Vol. 110, pp. 620-628, Future Generation Computer Systems, C1
J Tanevski, T Nguyen, B Truong, N Karaiskos, M Ahsen, X Zhang, C Shu, K Xu, X Liang, Y Hu, H Pham, L Xiaomei, T Le, A Tarc, G Bhatti, R Romero, N Karathanasis, P Loher, Y Chen, Z Ouyang, D Mao, Y Zhang, M Zand, J Ruan, C Hafemeister, P Qiu, D Tran, T Nguyen, A Gabor, T Yu, J Guinney, E Glaab, R Krause, P Banda, G Stolovitzky, N Rajewsky, J Saez-Rodriguez, P Meyer
(2020), Vol. 3, Life Science Alliance, United States, C1-1
MrPC: causal structure learning in distributed systems
T Nguyen, D Nguyen, T Le, S Venkatesh
(2020), Vol. 1332, pp. 87-94, ICONIP 2020 : Proceedings of the 27th International Conference on Neural Information Processing 2020, Online from Bangkok, Thailand, E1
Computational Methods for Predicting Autism Spectrum Disorder from Gene Expression Data
Junpeng Zhang, Thin Nguyen, Buu Truong, Lin Liu, Jiuyong Li, Thuc Le
(2020), pp. 395-409, ADMA 2020 : Advanced Data Mining and Applications 16th International Conference, ADMA 2020 Foshan, China, November 12–14, 2020 Proceedings, (Foshan, China), E1-1
Attentional multilabel learning over graphs: a message passing approach
K Do, T Tran, T Nguyen, S Venkatesh
(2019), Vol. 108, pp. 1757-1781, Machine Learning, New York, N.Y., C1
Solving for X: Evidence for sex-specific autism biomarkers across multiple transcriptomic studies
S Lee, T Quinn, J Lai, S Kong, I Hertz-Picciotto, S Glatt, T Crowley, S Venkatesh, T Nguyen
(2019), Vol. 180, pp. 377-389, American Journal of Medical Genetics, Part B: Neuropsychiatric Genetics, United States, C1
Improving the classification of neuropsychiatric conditions using gene ontology terms as features
T Quinn, S Lee, S Venkatesh, T Nguyen
(2019), Vol. 180, pp. 508-518, American Journal of Medical Genetics, Part B: Neuropsychiatric Genetics, United States, C1
Cancer as a tissue anomaly: Classifying tumor transcriptomes based only on healthy data
T Quinn, T Nguyen, S Lee, S Venkatesh
(2019), Vol. 10, Frontiers in Genetics, Switzerland, C1
A cross-cancer metastasis signature in the microRNA-mRNA axis of paired tissue samples
S Lee, A Quinn, T Nguyen, S Venkatesh, T Quinn
(2019), Vol. 46, pp. 5919-5930, Molecular Biology Reports, Netherlands, C1
An empirical study on prediction of population health through social media
H Nguyen, T Nguyen, D Nguyen
(2019), Vol. 99, Journal of Biomedical Informatics, United States, C1
Estimating county health indices using graph neural networks
H Nguyen, D Nguyen, T Nguyen
(2019), Vol. 1127, pp. 64-76, AusDM 2019 : Proceedings of the 17th Australasian Data Mining Conference 2019, Adelaide, S. Aust., E1
H Nguyen, D Nguyen, T Nguyen
(2019), Vol. 1127, pp. 54-63, AusDM 2019 : Proceedings of the 17th Australasian Conference on Data Mining 2019, Adelaide, S. Aust., E1
Academia versus social media: A psycho-linguistic analysis
T Nguyen, S Venkatesh, D Phung
(2018), Vol. 25, pp. 228-237, Journal of Computational Science, C1
Improving chamfer template matching using image segmentation
D Nguyen, N Vu, T Do, T Nguyen, J Yearwood
(2018), Vol. 25, pp. 1635-1639, IEEE signal processing letters, Piscataway, N.J., C1
Prescriptive analytics through constrained bayesian optimization
Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Kaimal Ramachandra, Svetha Venkatesh
(2018), Vol. 10937, pp. 335-347, PAKDD 2018 : Advances in Knowledge Discovery and Data Mining : Proceedings of 22nd Pacific-Asia Conference, Melbourne, Victoria, E1
H Nguyen, V Nguyen, T Nguyen, M Larsen, B O Dea, D Nguyen, T Le, D Phung, S Venkatesh, H Christensen
(2018), Vol. 11234, pp. 100-110, WISE 2018 : Web Information Systems Engineering, Dubai, UAE, E1
Differentially private prescriptive analytics
H Harikumar, S Rana, S Gupta, T Nguyen, R Kaimal, S Venkatesh
(2018), Vol. 2018-November, pp. 995-1000, ICDM 2018 : Proceedings of the IEEE International Conference on Data Mining, Singapore, E1
Variational Memory Encoder-Decoder
Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh
(2018), Vol. [31], pp. 1515-1525, NeurIPS 2018 : Proceedings of the Advances in Neural Information Processing Systems Annual Conference, Montreal, Canada, E1
Using linguistic and topic analysis to classify sub-groups of online depression communities
T Nguyen, B O’Dea, M Larsen, D Phung, S Venkatesh, H Christensen
(2017), Vol. 76, pp. 10653-10676, Multimedia Tools and Applications, C1-1
Estimation of the prevalence of adverse drug reactions from social media
T Nguyen, M Larsen, B O'Dea, D Phung, S Venkatesh, H Christensen
(2017), Vol. 102, pp. 130-137, International Journal of Medical Informatics, Ireland, C1
Kernel-based features for predicting population health indices from geocoded social media data
T Nguyen, M Larsen, B O'Dea, D Nguyen, J Yearwood, D Phung, S Venkatesh, H Christensen
(2017), Vol. 102, pp. 22-31, Decision Support Systems, C1
B Dao, T Nguyen, S Venkatesh, D Phung
(2017), Vol. 4, pp. 209-231, International journal of data science and analytics, Cham, Switzerland, C1
Estimating support scores of autism communities in large-scale web information systems
T Nguyen, H Nguyen, S Venkatesh, D Phung
(2017), Vol. 10569, pp. 347-355, WISE 2017 : Proceedings of the 18th International Conference on Web Information Systems Engineering 2017, Puschino, Russia, E1
H Nguyen, S Maclagan, T Nguyen, T Nguyen, P Flemons, K Andrews, E Ritchie, D Phung
(2017), pp. 40-49, DSAA 2017 : Proceedings - 2017 International Conference on Data Science and Advanced Analytics, Tokyo Japan, E1
T Nguyen, D Nguyen, M Larsen, B O'Dea, J Yearwood, Q Phung, S Venkatesh, H Christensen
(2017), pp. 99-107, WWW 2017 : Proceedings of the 26th International World Wide Web Conference 2017, Perth, W.A., E1
A Framework for Classifying Online Mental Health-Related Communities with an Interest in Depression
B Saha, T Nguyen, D Phung, S Venkatesh
(2016), Vol. 20, pp. 1008-1015, IEEE Journal of Biomedical and Health Informatics, United States, C1
Discovering latent affective dynamics among individuals in online mental health-related communities
B Dao, T Nguyen, S Venkatesh, D Phung
(2016), pp. 473-478, ICME 2016 : Proceedings of the IEEE Multimedia and Expo International Conference, Seattle, Washington, E1
Discriminative cues for different stages of smoking cessation in online community
T Nguyen, R Borland, J Yearwood, H Yong, S Venkatesh, D Phung
(2016), Vol. LNCS 10042, pp. 146-153, WISE 2016 : Proceedings of the 17th International Conference on Web Information Systems Engineering, Shanghai, China, E1
Large-scale stylistic analysis of formality in academia and social media
T Nguyen, S Venkatesh, D Phung
(2016), Vol. LNCS 10042, pp. 137-145, WISE 2016 : Proceedings of the 17th International Conference on Web Information Systems Engineering, Shanghai, China, E1
Extracting key challenges in achieving sobriety through shared subspace learning
H Harikumar, T Nguyen, S Rana, S Gupta, R Kaimal, S Venkatesh
(2016), Vol. 10086, pp. 420-433, ADMA 2016 : Proceedings of the 12th Advanced Data Mining and Applications International Conference, Gold Coast, Queensland, E1
H Harikumar, T Nguyen, S Gupta, S Rana, R Kaimal, S Venkatesh
(2016), Vol. 10086, pp. 520-533, ADMA 2016 : Proceedings of the 12th Advanced Data Mining and Applications International Conference, Gold Coast, Queensland, E1
Textual cues for online depression in community and personal settings
T Nguyen, S Venkatesh, D Phung
(2016), Vol. 10086, pp. 19-34, ADMA 2016 : Proceedings of the Advanced Data Mining and Applications Conference, Gold Coast, Qld., E1
Effect of social capital on emotion, language style and latent topics in online depression community
B Dao, T Nguyen, S Venkatesh, D Phung
(2016), pp. 61-66, RIVF 2016 : Proceedings of the 2016 IEEE RIVF International Conference on Computing & Communication Technologies Research, Innovation, and Vision for the Future, Hanoi, Vietnam, E1
Differentiating sub-groups of online depression-related communities using textual cues
T Nguyen, B O Dea, M Larsen, Q Phung, S Venkatesh, H Christensen
(2015), Vol. 9419, pp. 216-224, Web Information Systems Engineering – WISE 2015, New York, N.Y., B1
Web search activity data accurately predict population chronic disease risk in the USA
T Nguyen, T Tran, W Luo, S Gupta, S Rana, Q Phung, M Nichols, L Millar, S Venkatesh, S Allender
(2015), Vol. 69, pp. 693-699, Journal of epidemiology and community health, London, Eng., C1
W Luo, T Nguyen, M Nichols, T Tran, S Rana, S Gupta, Q Phung, S Venkatesh, S Allender
(2015), Vol. 10, pp. 1-13, PLoS One, San Francisco, Calif., C1
Autism blogs: expressed emotion, language styles and concerns in personal and community settings
T Nguyen, T Duong, S Venkatesh, Q Phung
(2015), Vol. 6, pp. 312-323, IEEE transactions on affective computing, Piscataway, N.J., C1
J Fisher, T Tran, T Nguyen, H Nguyen, T Tran
(2015), Vol. 41, pp. 843-852, Child: Care, Health and Development, England, C1-1
Exploiting feature relationships towards stable feature selection
I Kamkar, S Gupta, Q Phung, S Venkatesh
(2015), pp. 1-10, DSAA 2015: IEEE International Conference on Data Science and Advanced Analytics, Paris, France, E1
Ipoll: Automatic polling using online search
T Nguyen, D Phung, W Luo, T Tran, S Venkatesh
(2014), Vol. 8786, pp. 266-275, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), B1
B Dao, T Nguyen, D Phung, S Venkatesh
(2014), Vol. 8786, pp. 398-407, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Berlin, Germany, B1
Affective, linguistic and topic patterns in online autism communities
T Nguyen, T Duong, D Phung, S Venkatesh
(2014), Vol. 8787, pp. 474-488, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Berlin, Germany, B1
Mood sensing from social media texts and its applications
T Nguyen, Q Phung, B Adams, S Venkatesh
(2014), Vol. 39, pp. 667-702, Knowledge and information systems, Berlin, Germany, C1
Affective and content analysis of online depression communities
T Nguyen, D Phung, B Dao, S Venkatesh, M Berk
(2014), Vol. 5, pp. 217-226, IEEE Transactions on Affective Computing, Piscataway, N.J, C1
Analysis of circadian rhythms from online communities of individuals with affective disorders
B Dao, T Nguyen, S Venkatesh, D Phung
(2014), pp. 463-469, DSAA 2014 - Proceedings of the 2014 IEEE International Conference on Data Science and Advanced Analytics, Shanghai, China, E1
Ipoll: Automatic polling using online search
T Nguyen, D Phung, W Luo, T Tran, S Venkatesh
(2014), Vol. 8786 LNCS, pp. 266-275, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1
B Dao, T Nguyen, D Phung, S Venkatesh
(2014), Vol. 8786 LNCS, pp. 398-407, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1
Event extraction using behaviors of sentiment signals and burst structure in social media
T Nguyen, D Phung, B Adams, S Venkatesh
(2013), Vol. 37, pp. 279-304, Knowledge and information systems, London, England, C1
Connectivity, online social capital, and mood : a Bayesian nonparametric analysis
D Phung, S Gupta, T Nguyen, S Venkatesh
(2013), Vol. 15, pp. 1316-1325, IEEE transactions on multimedia, Piscataway, N.J., C1
Analysis of psycholinguistic processes and topics in online autism communities
T Nguyen, D Phung, S Venkatesh
(2013), pp. 1-6, ICME 2013 : Proceedings of the 14th IEEE International Conference on Multimedia and Expo, San Jose, California, E1
Online social capital : mood, topical and psycholinguistic analysis
T Nguyen, B Dao, D Phung, S Venkatesh, M Berk
(2013), pp. 449-456, ICWSM 2013 : Proceedings of the 7th AAAI International Conference on Weblogs and Social Media, Cambridge, Massachusetts, E1
A sentiment-aware approach to community formation in social media
T Nguyen, D Phung, B Adams, S Venkatesh
(2012), pp. 527-530, ICWSM 2012 : Proceedings of the Sixth International Conference on Weblogs and Social Media, Dublin, Ireland, E1
Prediction of age, sentiment, and connectivity from social media text
T Nguyen, D Phung, B Adams, S Venkatesh
(2011), pp. 227-240, WISE 2011 : Web Information Systems Engineering : 12th International Conference, Sydney, Australia, October 13-14 2011 : proceedings, Sydney, New South Wales, E1-1
Towards discovery of influence and personality traits through social link prediction
T Nguyen, D Phung, B Adams, S Venkatesh
(2011), pp. 566-569, ICWSM-11 : Proceedings of the 5th AAAI International Conference on Weblogs and Social Media, Barcelona, Spain, E1-1
Emotional reactions to real-world events in social networks
T Nguyen, D Phung, B Adams, S Venkatesh
(2011), pp. 53-64, New Frontiers in Applied Data Mining : Proceedings of the PAKDD 2011 International Workshops, Shenzhen, China, E1-1
Hyper-community detection in the blogosphere
T Nguyen, D Phung, B Adams, T Tran, S Venkatesh
(2010), pp. 21-26, WSM 2010 : Proceedings of the 2nd ACM SIGMM Workshop on Social Media, Firenze, Italy, E1-1
Classification and pattern discovery of mood in weblogs
T Nguyen, D Phung, B Adams, T Tran, S Venkatesh
(2010), pp. 283-290, PAKDD 2010 : Advances in knowledge discovery and data mining : 14th Pacific-Asia Conference, Hydrabad, India, E1-1
Funded Projects at Deakin
Australian Competitive Grants
PRECIS: PRecision Evidence for Childhood obesity prevention InterventionS
A/Prof Melanie Nichols, Prof Kathryn Backholer, Prof Boyd Swinburn, Dr Victoria Brown, Dr Thin Nguyen, Prof Christina Economos
NHMRC - Ideas Grant
- 2024: $101,889
- 2023: $332,248
- 2022: $367,668
- 2021: $322,739
Industry and Other Funding
Improving mental health through social media
Dr Thin Nguyen, Prof Dinh Phung, Prof Svetha Venkatesh, Dr Bridianne O'Dea, Dr Mark Larsen, Prof Helen Christensen
Black Dog Institute
- 2017: $20,000
- 2016: $20,000
Large-scale Neural Embedding
Prof Dinh Phung, Dr Thin Nguyen
Trust IQ
- 2017: $9,235
Identification of Blood RNA Biomarkers to Measure Disease Progression in Parkinson's Disease.
Prof Sunil Gupta, Prof Svetha Venkatesh, Dr Thin Nguyen
Parkinson's NSW Limited
- 2021: $42,500
- 2020: $42,500
Supervisions
Minh Tri Nguyen
Thesis entitled: Machine Learning for Drug-Target Interaction Prediction
Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins
Dinh Hung Nguyen
Thesis entitled: Machine Learning Approaches for Population Health Analytics through Social Media
Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins
Bo Dao
Thesis entitled: Social Media as Sensor for Healthcare: A Machine Learning Approach
Doctor of Philosophy (Information Technology), School of Information Technology
Haripriya Harikumar
Thesis entitled: Machine learning to fight addiction using social media
Doctor of Philosophy (Information Technology), School of Information Technology