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Adversarial De-confounding in Individualised Treatment Effects Estimation.

, , , , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 837-849. PMLR, (2023)

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Classification of Thai Elderly People Based on Control Ability of Sugar Consumption., , and . WPMC, page 1-5. IEEE, (2019)An Explainable AI Tool for Operational Risks Evaluation of AI Systems for SMEs., , , , , , , and . SKIMA, page 69-74. IEEE, (2023)Pathological test type and chemical detection using deep neural networks: a case study using ELISA and LFA assays., , , and . J. Enterp. Inf. Manag., 36 (3): 790-817 (2023)iTB-test: An Intelligent Image-enabled Diagnostic System for In Vitro Screening of Infectious Diseases., , , , , and . SKIMA, page 1-6. IEEE, (2022)An Efficient and Secure Data Deduplication Scheme for Cloud Assisted Storage Systems with Access Control., , , and . TCCE, page 309-319. (2022)Towards Explainable and Privacy-Preserving Artificial Intelligence for Personalisation in Autism Spectrum Disorder., , , , , , , , , and 5 other author(s). HCI (8), volume 13309 of Lecture Notes in Computer Science, page 356-370. Springer, (2022)Automatic diagnosis of tuberculosis disease based on Plasmonic ELISA and color-based image classification., , , , , , , and . EMBC, page 4512-4515. IEEE, (2017)Unleashing the Power of Federated Learning in Fragmented Digital Healthcare Systems: A Visionary Perspective., and . SKIMA, page 40-44. IEEE, (2023)Assay Type Detection Using Advanced Machine Learning Algorithms., , , , , and . SKIMA, page 1-8. IEEE, (2019)Adversarial De-confounding in Individualised Treatment Effects Estimation., , , , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 837-849. PMLR, (2023)