| Internet of things enabled manufacturing: a review RY Zhong, W Ge International Journal of Agile Systems and Management 11 (2), 126-154, 2018 | 80 | 2018 |
| Neural Network–Based Financial Volatility Forecasting: A Systematic Review W Ge, P Lalbakhsh, L Isai, A Lenskiy, H Suominen ACM Computing Surveys 55 (1), Article 14, 30 pages, 2023 | 41 | 2023 |
| Has machine learning over-promised in healthcare?: A critical analysis and a proposal for improved evaluation, with evidence from parkinson’s disease W Ge, C Lueck, H Suominen, D Apthorp Artificial Intelligence in Medicine 139, 102524, 2023 | 20 | 2023 |
| Robust feature engineering for Parkinson disease diagnosis: New machine learning techniques M Wang, W Ge, D Apthorp, H Suominen JMIR Biomedical Engineering 5 (1), e13611, 2020 | 16 | 2020 |
| Machine learning improves upon clinicians' prediction of end stage kidney disease A Chuah, G Walters, D Christiadi, K Karpe, A Kennard, R Singer, ... Frontiers in medicine 9, 837232, 2022 | 8 | 2022 |
| Which features of postural sway are effective in distinguishing Parkinson's disease from controls? A systematic review W Ge, CJ Lueck, D Apthorp, H Suominen Brain and Behavior 11 (1), e01929, 2021 | 8 | 2021 |
| Comparing deep learning models for the task of volatility prediction using multivariate data W Ge, P Lalbakhsh, L Isai, A Lensky, H Suominen arXiv e-prints, arXiv: 2306.12446, 2023 | 2 | 2023 |
| Which Features of Postural Sway are Effective in Distinguishing Parkinson’s Disease Patients from Controls? An Experimental Investigation W Ge, D Apthorp, C Lueck, H Suominen 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 1 | 2021 |
| Optimising Personalised Medical Insights by Introducing a Scalable Health Informatics Application for Sensor Data Extraction, Preprocessing, and Analysis C Hettiarachchi, R Vlieger, W Ge, D Apthorp, E Daskalaki, A Brüstle, ... Studies in health technology and informatics 318, 138-143, 2024 | | 2024 |
| Neural Networks in Forecasting Financial Volatility W Ge, P Lalbakhsh, L Isai, H Suominen Australasian Joint Conference on Artificial Intelligence, 178-189, 2023 | | 2023 |
| Comparing deep learning models for volatility prediction using multivariate data W Ge, P Lalbakhsh, L Isai, A Lensky, H Suominen arXiv preprint arXiv:2306.12446, 2023 | | 2023 |
| FERM: A FEature-space Representation Measure for Improved Model Evaluation YS Fu, W Ge, J Plested work 10, 11, 2022 | | 2022 |
| MACHINE LEARNING IMPROVES UPON CLINICIANS'PREDICTION OF END-STAGE KIDNEY FAILURE A Chuah, D Christiadi, G Walters, K Karpe, A Kennard, R Singer, ... NEPHROLOGY 26, 16-16, 2021 | | 2021 |
| 094 Towards objective testing in parkinson’s disease: a systematic review of the literature looking at assessment of postural sway W Ge, D Apthorp, CJ Lueck, H Suominen Journal of Neurology, Neurosurgery & Psychiatry 90 (e7), A30-A30, 2019 | | 2019 |
| Robust Feature Engineering for Parkinson Disease Diagnosis: New Machine Learning Techniques (Preprint) M Wang, W Ge, D Apthorp, H Suominen | | 2019 |
