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TURABEE, Z.B., BROWN, D.J., MAHMUD, M., OIKONOMOU, A., BURTON, A., SHOPLAND, N., RAHMAN, M.A., CLARKE, D. and GRAY, F., 2025. A privacy-preserving approach for engagement and meltdown detection in children with autism using machine learning models. In: M. MAHMUD, M. DOBORJEH, K. WONG, A.C.S. LEUNG, Z. DOBORJEH and M. TANVEER, eds., Neural information processing: 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, proceedings, part IV. Communications in Computer and Information Science . Singapore: Springer, pp. 274-286. ISBN 9789819669561
SHEN, Y., MAHMUD, M., RAI, T., HE, J., BROWN, D.J., RAHMAN, M.A., KAUR, J., BALDWIN, D.R., O’DOWD, E. and HUBBARD, R.B., 2025. Improving healthcare outcomes by identifying populations with higher risk of lung cancer from primary care data. In: M. MAHMUD, M. DOBORJEH, K. WONG, A.C.S. LEUNG, Z. DOBORJEH and M. TANVEER, eds., Neural information processing: 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, proceedings, part V. Lecture Notes in Computer Science . Singapore: Springer, pp. 152-166. ISBN 9789819665877
HARRIS, M.C., FRYER, D.L., MAHMUD, M., RAHMAN, M.A., VYAS, P., SHOPLAND, N., CONNOR, B., LEWIS, J. and BROWN, D.J., 2025. Towards a machine learning model to classify cognitive ability using EEG data and virtual spatial navigation task scores in intellectually disabled adults. In: M. MAHMUD, M. DOBORJEH, K. WONG, A.C.S. LEUNG, Z. DOBORJEH and M. TANVEER, eds., Neural information processing: 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, proceedings, part XV. Communications in Computer and Information Science . Singapore: Springer, pp. 188-202. ISBN 9789819670321
RAHMAN, M.H., SARKER, N.H., ANWAR, M.M., MAHMUD, M., BROWN, D.J. and RAHMAN, M.A., 2025. A Gaussian process framework for prognostication and visualization in dermatological oncology. In: M. MAHMUD, M. DOBORJEH, K. WONG, A.C.S. LEUNG, Z. DOBORJEH and M. TANVEER, eds., Neural information processing: 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, proceedings, part V. Communications in Computer and Information Science . Singapore: Springer, pp. 341-355. ISBN 9789819669592