Professor Hanna Suominen
Adj/Prof(Computer Science, CS), University of Turku (UTU), Finland, 2013; PhD(CS), UTU, 2009; MSc (Applied Math), UTU, 2005; MEdL(Curriculum & Pedagogy), Monash University, 2020; SFHEA, ANU, 2019
Professor (Computing) and Associate Director (Neuroinformatics)
ANU College of Engineering, Computing and Cybernetics
T:
+61 (0)431 913 826
Biography
Prof Hanna Suominen, MSc, PhD, Docent, MEdL, SFHEA is at the forefront of accelerating health impact from personalised precision medicine technology through the application of advanced Data Analytics and Machine Learning. She is a Professor of Computer Science at the Australian National University, (ANU), the Associate Director (Neuroinformatics) of the ANU John Eccles Institute of Neuroscience (JEI), and the Executive Leader (Computing and Engineering) of the ANU Our Health in Our Hands (OHIOH) strategic initiative.
Prof Suominen previously worked for the ANU School of Computing as its first Associate Director (Engagement & Impact), establishing the portfolio. Before this, she was the Leader of the Theory and Applications in Multimodal Pattern Analysis (TAMPA) and Natural Language Processing (NLP) teams at Data61 of the Commonwealth Scientific and Industrial Research Organisation (CSIRO) and the National Information and Communications Technology Australia (NICTA), respectively.
Hanna obtained her Master of Science (MSc) in Applied Mathematics in 2005, followed by a Doctor of Philosophy (PhD) and Adjunct Professorship (a.k.a. docent) in CS in 2009 and 2013, respectively, from the University of Turku (UTU), Finland. In 2019, she became a Senior Fellow of the Higher Education Academy (SFHEA) from the ANU Educational Fellowship Scheme. In 2020, she graduated with a Master of Leadership in Curriculum and Pedagogy (MEdL) from the Monash University, Australia
Prof Hanna Suominen has almost 20 years’ experience of working at the interface between technology, education, and health sciences, and is passionate about co-producing research and education with Lightcast and Konan Medical, among others. By bridging disciplines, professions, and areas of expertise, Prof Suominen is co-creating tools that will transform tedious tasks into AI-assisted workflows, thus releasing human labour for more meaningful duties and enhancing Australia’s prosperity.
Publications
- Brew-Sam, N, Parkinson, A, Chhabra, M et al. 2023, 'Toward Diabetes Device Development That Is Mindful to the Needs of Young People Living With Type 1 Diabetes: A Data- and Theory-Driven Qualitative Study', JMIR Diabetes, vol. 8, pp. 1-19.
- Ge, W, Lueck, C, Suominen, H et al. 2023, 'Has machine learning over-promised in healthcare?: A critical analysis and a proposal for improved evaluation, with evidence from Parkinson's disease', Artificial Intelligence in Medicine, vol. 139, pp. 1-16.
- Dutt, S, Shao, H, Karawdeniya, B et al. 2023, 'High Accuracy Protein Identification: Fusion of Solid-State Nanopore Sensing and Machine Learning', Small Methods, vol. 7, no. 11, pp. 1-12.
- Chuah, A, Walters, G, Christiadi, D et al. 2022, 'Machine Learning Improves Upon Clinicians' Prediction of End Stage Kidney Disease', Frontiers in Medicine, vol. 9, pp. 1-9.
- Brew-Sam, N, Parkinson, A, Lueck, C et al. 2022, 'The current understanding of precision medicine and personalised medicine in selected research disciplines: study protocol of a systematic concept analysis', BMJ Open, vol. 12, no. 9.
- Reid, P, Gnevsheva, K & Suominen, H 2022, 'A comparison of machine learning algorithms and human listeners in the identification of phonemic contrasts', Eighteenth Australasian International Conference on Speech Science and Technology, The Australasian Speech Science and Technology Association, Inc., Canberra, Australia, pp. 41-45.
- Hossain, M, Daskalaki, E, Bruestle, A et al. 2022, 'The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review', BMC Medical Informatics and Decision Making, vol. 22, no. 1.
- Brew-Sam, N, Desborough, J, Parkinson, A et al. 2022, 'A user preference analysis of commercial breath ketone sensors to inform the development of portable breath ketone sensors for diabetes management in young people', PLOS ONE (Public Library of Science), vol. 17, no. 7, pp. 1-19.
- Daskalaki, E, Parkinson, A, Brew-Sam, N et al. 2022, 'The Potential of Current Noninvasive Wearable Technology for the Monitoring of Physiological Signals in the Management of Type 1 Diabetes: Literature Survey', Journal of Medical Internet Research, vol. 24, no. 4, pp. 1-20.
- Hettiarachchi, C, Daskalaki, E, Desborough, J et al. 2022, 'Integrating Multiple Inputs Into an Artificial Pancreas System: Narrative Literature Review', JMIR Diabetes, vol. 7, no. 1, pp. 1-18.
- Ge, W, Lueck, C, Apthorp, D et al. 2021, 'Which features of postural sway are effective in distinguishing Parkinson's disease from controls? A systematic review', Brain and Behavior, vol. 11, no. 1.
- Cui, R, Daskalaki, E, HOSSAIN, M et al. 2021, 'A Significance Assessment of Diabetes Diagnostic Biomarkers Using Machine Learning', 15th International Congress on Nursing Informatics, ed. Michelle Honey, Charlene Ronquillo, Ting-Ting Lee, Lucy Westbrooke, IOS Press Ebooks, Netherlands, pp. 36-38.
- Ge, W, Apthorp, D, Lueck, C et al. 2021, 'Which Features of Postural Sway are Effective in Distinguishing Parkinson's Disease Patients from Controls? An Experimental Investigation', IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Institute of Electrical and Electronics Engineers (IEEE Inc), USA, pp. 860-867.
- Goeuriot, L, Suominen, H, Kelly, L et al. 2021, 'CLEF eHealth Evaluation Lab 2021', 43rd European Conference on Information Retrieval, ed. Hiemstra, Moens, Mothe, Perego, Potthast, Sebastiani, Springer Nature Switzerland AG, Switzerland, pp. 593-600.
- Suominen, H, Goeuriot, L, Kelly, L et al. 2021, 'Overview of the CLEF eHealth Evaluation Lab 2021', 12th International Conference of the Cross-Language Evaluation Forum for European Languages Association, CLEF 2021, ed. Candan, Ionescu, Goeuriot, Larsen, Muller, Joly, Maistro, Piroi, Faggioli, Ferr, Springer Nature Switzerland AG, Switzerland, pp. 308-323.
- Goeuriot, L, Suominen, H, Pasi, G et al. 2021, 'Consumer Health Search at CLEF eHealth 2021', Conference and Labs of the Evaluation Forum (CLEF), ed. Guglielmo Faggioli, Nicola Ferro, Alexis Joly, Maria Maistro, Florina Piroi, CEUR Workshop Proceedings, Germany, pp. 751-769.
- Suominen, H, Manocha, M, Desborough, J et al. 2021, 'Finger Tapping Measures for Parkinson’s Disease: Preliminary Evaluation of an Android Application for Data Collection in Australia', 15th International Congress on Nursing Informatics, ed. Michelle Honey, Charlene Ronquillo, Ting-Ting Lee, Lucy Westbrooke, IOS Press Ebooks, Netherlands, pp. 475-480.
- Brew-Sam, N, Chhabra, M, Parkinson, A et al. 2021, 'Experiences of Young People and Their Caregivers of Using Technology to Manage Type 1 Diabetes Mellitus: Systematic Literature Review and Narrative Synthesis', JMIR Diabetes, vol. 6, no. 1, pp. 1-14.
- Hettiarachchi, C, Daskalaki, E, Malagutti, N et al. 2021, 'Model�Free Inference Of Information Flow Among Physiological Signals In Type 1 Diabetes Subjects Using Multivariate Transfer Entropy', 14th International Conference on Advanced Technologies and Treatments for Diabetes, ed. Satish K. Garg, Mary Ann Liebert Inc., New York, p. 99.
- Vlieger, R, Daskalaki, E, Apthorp, D et al. 2021, 'The Use of Event-Related Potentials and Machine Learning to Improve Diagnostic Testing and Prediction of Disease Progression in Parkinson's Disease', 15th international congress in nursing information, ed. Honey, M., Ronquillo, C., Lee, T.-T., Westbrooke, L., IOS Press, Netherlands, pp. 333-335.
- Kuo, N, Harandi, M, Fourrier, N et al. 2021, 'Learning to Continually Learn Rapidly from Few and Noisy Data', 2021 AAAI Workshop on Meta-Learning and MetaDL Challenge, ML Research Press, United States, pp. 65-76.
- Henschke, A, Desborough, J, Parkinson, A et al. 2021, 'Personalizing Medicine and Technologies to Address the Experiences and Needs of People with Multiple Sclerosis', Journal of Personalized Medicine, vol. 11, no. 8, pp. 1-9.
- Muradoglu, S, Evans, N & Suominen, H 2020, 'To Compress or not to Compress? A Finite-State Approach to Nen Verbal Morphology', 58th Annual Meeting of the Association for Computational Linguistics, ACL2020, ed. Dan Jurafsky, Joyce Chai, Natalie Schluter, Joel Tetreault, Association for Computational Linguistics, United States, pp. 207-213.
- Maxwell-Smith, Z, Foley, B, Gonzalez Ochoa, S et al. 2020, 'Applications of Natural Language Processing in Bilingual Language Teaching: An Indonesian-English Case Study', Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications, Association for Computational Linguistics, Seattle, WA, USA, pp. 124-134.
- Kuo, N, Harandi, M, Fourrier, N et al. 2020, 'An Input Residual Connection for Simplifying Gated Recurrent Neural Networks', 2020 International Joint Conference on Neural Networks, IJCNN 2020, IEEE, United States, pp. 1-8.
- Goeuriot, L, Suominen, H, Kelly, L et al. 2020, 'Overview of the CLEF eHealth Evaluation Lab 2020', 11th International Conference of the Cross-Language Evaluation Forum for European Languages, CLEF 2020, ed. Arampatzis, Kanoulas, Tsikrika, Vrochidis, Joho, Lioma, Eickhoff, Neveol, Springer Nature Switzerland AG, Switzerland, pp. 255-271.
- Suominen, H, Kelly, L, Goeuriot, L et al. 2020, 'CLEF ehealth evaluation lab 2020', 42nd European Conference on Information Retrieval, ed. Jose, Yilmaz, Magalhães, Castells, Ferro, Silva, Martins, Springer Nature Switzerland AG, Switzerland, pp. 587-594.
- Hou, W, Suominen, H, Koniusz, P et al. 2020, 'A Token-Wise CNN-Based Method for Sentence Compression', 27th International Conference on Neural Information Processing, ICONIP 2020, ed. H. Yang, K. Pasupa, A.C.-S Leung, J.T. Kwok, J.H Chan & I. King, Springer, Germany, pp. 668-679.
- Li, D, Xu, C, Yu, X et al. 2020, 'TSPNet: Hierarchical feature learning via temporal semantic pyramid for sign language translation', 34th Conference on Neural Information Processing Systems, NeurIPS 2020, ed. H. Larochelle, M. Ranzato, R. Hadsell, M.F. Balcan & H. Lin, Neural Information Processing Systems Foundation, United States.
- Desborough, J, Brunoro, C, Parkinson, A et al. 2020, 'It struck at the heart of who I thought I was: A meta-synthesis of the qualitative literature examining the experiences of people with multiple sclerosis', Health Expectations, vol. 23, no. 5, pp. 1007-1027.
- Ismail, H, Radwan, I, Suominen, H et al. 2019, 'Sway Risk Analysis Based on Age Group Classification', 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, United States, pp. 392-398.
- Zhou, L, Suominen, H & Gedeon, T 2019, 'Adapting state-of-the-art deep language models to clinical information extraction systems: Potentials, challenges, and solutions', JMIR Medical Informatics, vol. 7, no. 2, pp. 1-15.
- Ge, W, Apthorp, D, Lueck, C et al. 2019, 'Towards Objective Testing in Parkinson's Disease: a Systematic Review of the Literature Looking at Assessment of Postural Sway', ANZAN 2019: Australian and New Zealand Association of Neurologists Annual Scientific Meeting 2019, BMJ Publishing Group, United Kingdom, pp. 30-30.
- Kelly, L, Suominen, H, Goeuriot, L et al. 2019, 'Overview of the CLEF eHealth Evaluation Lab 2019', 10th International Conference of the Cross-Language Evaluation Forum for European Languages, CLEF 2019, ed. Crestani, Braschler, Savoy, Rauber, Mller, Losada, Brk, Cappellato,Ferro, Springer Cham, Switzerland, pp. 322-339.
- Xu, C, Mewburn, I, Grant, W et al. 2019, 'PostAc : A Visual Interactive Search, Exploration, and Analysis Platform for PhD Intensive Job Postings', 57th Annual Meeting of the Association for Computational Linguistics, ACL 2018, ed. Anna Korhonen, David Traum, LluÃs MÃ rquez, Association for Computational Linguistics, Stroudsburg, pp. 43-48.
- Kelly, L, Goeuriot, L, Suominen, H et al. 2019, 'CLEF ehealth 2019 evaluation lab', 41st European Conference on Information Retrieval, ECIR 2019, ed. B Stein, P Mayr, L Azzopardi, N Fuhr, C Hauff, D Hiemstra, Springer Verlag, Switzerland, pp. 267-274.
- Suominen, H, Kelly, L, Goeuriot, L et al. 2018, 'Overview of the CLEF ehealth evaluation lab 2018', 9th International Conference of the CLEF Association, CLEF 2018, ed. E SanJuan, F Murtagh, J Y Nie, L Soulier, L Cappellato, P Bellot, J Mothe, Springer Verlag, TBC, pp. 286-301.
- Mewburn, I, Grant, W, Suominen, H et al. 2018, 'A Machine Learning Analysis of the Non-academic Employment Opportunities for Ph.D. Graduates in Australia', Higher Education Policy, vol. 33, pp. 799-813.
- Velupillai, S, Suominen, H, Liakata, M et al 2018, 'Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances', Journal of Biomedical Informatics, vol. 88, pp. 11-19pp.
- Suominen, H, Kelly, L & Goeuriot, L 2018, 'Scholarly Influence of the Conference and Labs of the Evaluation Forum eHealth Initiative: Review and Bibliometric Study of the 2012 to 2017 Outcomes', JMIR Research Protocols, vol. 7, no. 7.
- Zhou, L, Xu, Q, Suominen, H et al. 2018, 'EPUTION at SemEval-2018 Task 2: Emoji Prediction with User Adaption', The 12th International Workshop on Semantic Evaluation, ed. Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Marine, Association for Computational Linguistics, USA, pp. 449-453.
- Suominen, H, Müller, H, Ohno-Machado, L et al 2017, 'Prerequisites for international exchanges of health information for record research: Comparison of Australian, austrian, Finnish, Swiss, and US policies', 16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017, ed. Z Dongsheng, A Gundlapalli & J Marie-Christine, IOS Press, USA, pp. 1312-1320pp.
- Goeuriot, L, Kelly, L, Suominen, H et al 2017, 'CLEF 2017 eHealth Evaluation Lab Overview', 8th Conference and Labs of the Evaluation Forum (CLEF 2017), Springer Link, Switzerland, pp. 291-303pp.
- Ismail, H, Radwan, I, Suominen, H et al 2017, 'Human Postural Sway Estimation from Noisy Observations ', 12th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2017, Institute of Electrical and Electronics Engineers (IEEE Inc), Piscataway, New Jersey, US, pp. 454-461.
- Ismail, H, Radwan, I, Suominen, H et al 2017, 'Human Postural Sway Estimation from Noisy Observations', 12th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2017, Institute of Electrical and Electronics Engineers (IEEE Inc), Piscataway, New Jersey, US, pp. 454-461pp.
- Ismail, H, Radwan, I, Suominen, H et al 2017, 'Human Postural Sway Estimation from Noisy Observations', 12th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2017, Institute of Electrical and Electronics Engineers (IEEE Inc), Piscataway, New Jersey, US, pp. 454-461pp.
- Suominen, H, Ferraro, G, Nualart, J et al 2017, 'User Study for Measuring Linguistic Complexity and its Reduction by Technology on a Patent Website', 34th International Conference on Machine Learning (ICML 2017), Proceedings of Machine Learning Research, unknown, pp. 8pp.
- Mowery, D, South, B, Christensen, L et al 2016, 'Normalizing acronyms and abbreviations to aid patient understanding of clinical texts: ShARe/CLEF eHealth Challenge 2013, Task 2', Journal of Biomedical Semantics, vol. 7, no. 43, pp. 43-43.
- Yu, C, Chu, B, Ram, R et al. 2016, 'Pairwise FastText Classifier for Entity Disambiguation', Australasian Language Technology Association Workshop (ALTA 2016), ed. Trevor Cohn, Association for Computational Linguistics, Pennsylvania, USA, pp. 175̢̉179pp.
- Kelly, L, Goeuriot, L, Suominen, H et al 2016, 'Overview of the CLEF eHealth evaluation lab 2016', 7th International Conference of the CLEF Association, CLEF 2016, ed. Larsen B.Cappellato, Springer, Evora, Portugal, pp. 255-266.
- Suominen, H, Zhou, L, Goeuriot, L et al 2016, 'Task 1 of the CLEF eHealth Evaluation Lab 2016: Handover Information Extraction', 7th International Conference of the CLEF Association, CLEF 2016, ed. Larsen B.Cappellato, Springer, Evora, Portugal, pp. 1-14pp.
- Mewburn, I, Grant, W, Kizimchuk, S et al. 2016, 'The use of machine learning to analyze job advertisements for doctoral employability', Quality in Postgraduate Research (QPR) 2016, ed. Michelle Picard, Alistair McCulloch, QPR - Quality in Postgraduate Research, Australia, p. 184.
- Mewburn, I, Grant, W, Suominen, H et al 2016, 'What do non academic employers want? A critical examination of 'PhD shaped' job advertisements for doctoral employability', Society for Research into Higher Education (SRHE) Annual International Conference 2016, SRHE and Open University Press, unknown, pp. 3pp.
- Suominen, H, Hanlen, L, Goeuriot, L et al 2015, 'Task 1a of the CLEF eHealth Evaluation Lab 2015', International Conference on Labs of the Evaluation Forum, CLEF 2015, ed. K. gnat,L. Cappellato, Springer International Publishing Switzerland, Switzerland, pp. -.
- Suominen, H, Johnson, M, Zhou, L et al 2015, 'Capturing patient information at nursing shift changes: methodological evaluation of speech recognition and information extraction', Journal of the American Medical Informatics Association, vol. 22, no. E1, pp. E48-E66.
- Pradhan, S, Elhadad, N, South, B et al 2015, 'Evaluating the state of the art in disorder recognition and normalization of the clinical narrative', Journal of the American Medical Informatics Association : JAMIA, vol. 22, no. 1, pp. 143-154.
- Martinez, D, Ananda-Rajah, M, Suominen, H et al 2015, 'Automatic detection of patients with invasive fungal disease from free-text computed tomography (CT) scans', Journal of Biomedical Informatics, vol. 53, pp. 251-260.
- Zhou, L & Suominen, H 2015, 'Information Extraction to Improve Standard Compliance The Case of Clinical Handover', International Joint Conference on Artificial Intelligence IJCAI 2015, ed. Qiang Yang, Michael Wooldridge, AAAI Press, Palo Alto, California, USA, pp. 644-649.
- Suominen, H, Zhou, L, Hanlen, L et al 2015, 'Benchmarking Clinical Speech Recognition and Information Extraction: New Data, Methods, and Evaluations', International Journal of Medical Informatics, vol. 3, no. 2, pp. 1-23.
- Zhou, L, Suominen, H & Hanlen, L 2015, 'Evaluation Data and Benchmarks for Cascaded Speech Recognition and Entity Extraction', 3rd Workshop on Speech, Language and Audio in Multimedia SLAM 2015, Association for Computing Machinery (ACM), USA, pp. 15-18.
- Goeuriot, L, Liadh, K, Suominen, H et al 2015, 'Overview of the CLEF eHealth evaluation lab 2015', International Conference on Labs of the Evaluation Forum, CLEF 2015, ed. K. gnat,L. Cappellato, Springer International Publishing Switzerland, Switzerland, pp. 429-443.
- Adnan, M, Warren, J & Suominen, H 2015, 'Patient empowerment via technologies for patient-friendly personalized language', in Maria Adela Grando, Ronen Rozenblum, David Bates (ed.), Information technology for patient empowerment in healthcare, Walter de Gruyter, Germany, pp. 153-164.
- Suominen, H, Hanlen, L & Paris, C 2014, 'Twitter for health building a social media search engine to improve search, summarization, and visualization', in Amy Neustein (ed.), Text Mining of Web-based Medical Content, De Gruyter, Berlin, Germany, pp. 133-174.
- Johnson, M, Lapkin, S, Long, V et al 2014, 'A systematic review of speech recognition technology in health care', BMC Medical Informatics and Decision Making, vol. 14, pp. 1-14.
- Johnson, M, Sanchez, P, Suominen, H et al 2014, 'Comparing nursing handover and documentation: forming one set of patient information', International Nursing Review, vol. 61, no. 1, pp. 73-81.
- Dawson, L, Johnson, M, Suominen, H et al 2014, 'A usability framework for speech recognition technologies in clinical handover: A pre-implementation study', Journal of Medical Systems, vol. 38, no. 6, pp. 1-9.
- Kelly, L, Goeuriot, L, Suominen, H et al 2014, 'Overview of the ShARe/CLEF eHealth evaluation lab 2014', CLEF 2014 Conference and Labs of the Evaluation Forum, CEUR-WS.ORG, USA, pp. 172-191.
- Donglu, W, Ferraro, G, Suominen, H et al 2014, 'Automated Categorisation of Patent Claims that Reference Human Genome Sequences', Australasian Document Computing Symposium (ADCS 2014), ed. Park L.Zuccon G.Culp, Association for Computing Machinery (ACM), USA, pp. 1-4.
- Suominen, H, Schreck, T, Leroy, G et al 2014, 'Task 1 of the CLEF eHealth Evaluation Lab 2014', CLEF 2014 Conference and Labs of the Evaluation Forum, CEUR-WS.ORG, USA, pp. 1-30.
- Ferraro, G, Suominen, H & Nualart, J 2014, 'Segmentation of patent claims for improving their readability', 3rd Workshop on Predicting and Improving Text Readability for Target Reader Populations (PITR) 2014, ed. Sandra Williams, Advaith Siddharthan, Ani Nenkova, Association for Computational Linguistics, Stroudsburg, PA 18360, USA, pp. 66-73.
- Suominen, H, ed., 2014, Text mining and information analysis of health documents.
- Suominen, H, Schreck, T, Leroy, G et al 2014, 'Task 1 of the CLEF eHealth evaluation lab 2014 visual-interactive search and exploration of eHealth data', CLEF 2014 Conference and Labs of the Evaluation Forum, CEUR-WS.ORG, USA, pp. 1-30pp.
- Suominen, H & Ferraro, G 2013, 'Noise in Speech-to-Text Voice: Analysis of Errors and Feasibility of Phonetic Similarity for Their Correction', Australasian Language Technology Association Workshop ALTA 2013, ed. Sarvnaz Karimi and Karin Vespoor, Queensland University of Technology, Brisbane, pp. 34-42pp.
- Goeuriot, L, Jones, G, Kelly, L et al 2013, 'ShARe/CLEF eHealth Evaluation Lab 2013, Task 3: Information Retrieval to Address Patients' Questions when Reading Clinical Reports', Conference and Labs of the Evaluation Forum, CLEF 2013, ed. Pamela Forner, Henning Muller, Roberto Paredes, Springer, USA, pp. 1-16.
- Suominen, H & Hanlen, L 2013, 'Visual summarisation of text for surveillance and situational awareness in hospitals', Australasian Document Computing Symposium, ADCS 2013, Association for Computing Machinery (ACM), Australia, pp. 89-96.
- Kreiner, K, Immonen, A & Suominen, H 2013, 'Crisis management knowledge from social media', Australasian Document Computing Symposium, ADCS 2013, Association for Computing Machinery (ACM), Australia, pp. 105-108.
- Suominen, H, Salantera, S, Velupillai, S et al 2013, 'Overview of the ShARe/CLEF eHealth Evaluation Lab 2013', Lecture Notes in Computer Science (LNCS), vol. 8138, no. 2013, pp. 212-231.
- Goeuriot, L, Kelly, L, Jones, G et al 2013, 'Creation of a New Evaluation Benchmark for Information Retrieval Targeting Patient Information Needs', The Fifth International Workshop on Evaluating Information Access (EVIA), National Institute of Informatics, Tokyo, Japan, pp. 1-4.
- Pradhan, S, Elhadad, N, South, B et al 2013, 'Task 1: ShARe/CLEF eHealth evaluation lab 2013', Conference and Labs of the Evaluation Forum, CLEF 2013, ed. Pamela Forner, Henning Muller, Roberto Paredes, Springer, USA, pp. -.
- Mowery, D, South, B, Christensen, L et al 2013, 'Task 2: ShARe/CLEF eHealth evaluation lab 2013', Conference and Labs of the Evaluation Forum, CLEF 2013, ed. Pamela Forner, Henning Muller, Roberto Paredes, Springer, USA, pp. -.
- Pahikkala, T, Suominen, H & Boberg, J 2012, 'Efficient cross-validation for kernelized least-squares regression with sparse basis expansions', Journal of Machine Learning Research, vol. 87, no. 3, pp. 381-407.
- Suominen, H, Kreiner, K, Wu, M et al 2012, 'Towards Ease of Building Legos in Assessing eHealth Language Technologies A RESTful Laboratory for Data and Software', Cross-Language Evaluation of Methods, Applications, and Resources for eHealth Document Analysis, CLEF 2012, ed. Karlgren J. Womser-Ha, CEUR Workshop Proceedings, tbc, pp. 1-5.
- Suominen, H, Basilakis, J, Johnson, M et al 2012, 'Clinical Speech to Text Evaluation Setting', Cross-Language Evaluation of Methods, Applications, and Resources for eHealth Document Analysis, CLEF 2012, ed. Karlgren J. Womser-Ha, CEUR Workshop Proceedings, tbc, pp. 1-5.
- Planitz, B, Hanlen, L & Suominen, H 2012, 'Innovating health: can living labs succeed?', Australian National Health Informatics Conference (HIC 2012), Health Informatics Society of Australia (HISA), Australia, pp. 1-3.
- Suominen, H 2012, 'Towards an international electronic repository and virtual laboratory of open data and open-source software for telehealth research: Comparison of international, Australian and Finnish privacy policies', International Conference on Global Telehealth 2012, Conference Organising Committee, Sydney, NSW, pp. 153-160.
- Martinez, D, Suominen, H, Ananda-Rajah, M et al 2012, 'Biosurveillance for Invasive Fungal Infections via Text Mining', Cross-Language Evaluation of Methods, Applications, and Resources for eHealth Document Analysis, CLEF 2012, ed. Karlgren J. Womser-Ha, CEUR Workshop Proceedings, tbc, pp. 1-4.
- Suominen, H 2012, 'CLEFe Health 2012: The CLEF 2012 workshop on cross-language evaluation of methods, applications, and resources for ehealth document analysis', Cross-Language Evaluation of Methods, Applications, and Resources for eHealth Document Analysis, CLEF 2012, ed. Karlgren J. Womser-Ha, CEUR Workshop Proceedings, tbc, pp. 2pp.
- Su, X, Suominen, H & Hanlen, L 2011, 'Machine Intelligence for Health Information: Capturing Concepts and Trends in Social Media via Query Expansion', Health Informatics Conference 2011 (HIC 2011), ed. Machine Intelligence for Health Information: Capturing Concepts & Trends in Soci, IOS Press, Lansdale PA 19446, pp. 150-157.
- Allvin, H, Carlsson, E, Dalianis, H et al 2011, 'CHARACTERISTICS OF FINNISH AND SWEDISH INTENSIVE CARE NURSING NARRATIVES A COMPARATIVE ANALYSIS TO SUPPORT THE DEVELOPMENT OF CLINICAL LANGUAGE TECHNOLOGIES', Journal of Biomedical Semantics, vol. 2 Suppl 3, no. Suppl 3, pp. S1-S1.
- Karimi, S, Martinez, D, Suominen, H et al 2011, 'Search for medical records: NICTA at TREC 2011 medical track', 20th Text REtrieval Conference, TREC 2011, NIST Special Publication, United States, pp. -.
- Suominen, H & Salakoski, T 2010, 'Supporting Communication and Decision Making in Finnish Intensive Care with Language Technology', Journal of Healthcare Engineering, vol. 1, no. 4, pp. 595-613.
- Allvin, H, Carlsson, E, Dalianis, H et al 2010, 'Characteristics and Analysis of Finnish and Swedish Clinical Intensive Care Nursing Narratives', Annual Conference of the North American Chapter of the Association for Computational Linguistics, Association for Computational Linguistics, New York, pp. 53-60.
Projects and Grants
Grants information is drawn from ARIES. To add or update Projects or Grants information please contact your College Research Office.
- Characterising and measuring fatigue in progressive multiple sclerosis; a person centered approach (Secondary Investigator)
- Closed Loop Non-Invasive Brain Stimulation Treatment for Depression (Secondary Investigator)
- CSIRO PhD Student - Sam Cantrill (Primary Investigator)
- Next Generation Graduates Program - AI Enabled Advanced Materials Technology (Secondary Investigator)
- Implementing a Multivariate Index Assay for the Earlier Detection of Ovarian Cancer (Secondary Investigator)
- PostAc Individual - Development of discipline specific module on Psychology (Secondary Investigator)
- Automated glossary generation for effective and efficient information extraction from text data / Discovering causal relations in COVID-19 associated literature (Secondary Investigator)
- Rapid and objective eye and brain testing for better management of ophthalmic and neurological diseases (Secondary Investigator)
- Natural Language Processing pilot program for ASIC (Primary Investigator)
- Possible approaches to using automation and machine learning for creating and executing disposal authorisations issued by the National Archives of Australia under the Archives Act (Primary Investigator)
- Development of a Learning Interface Platform for use in Machine Learning System Coding (Secondary Investigator)
- CSIRO-Data61 Collaborative Research Project - Text Analytics (Primary Investigator)
