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Sado, Fatai and Loo, Chu Kiong and Liew, Wei Shiung and Kerzel, Matthias and Wermter, Stefan (2023) Explainable goal-driven agents and robots - a comprehensive review. ACM Computing Surveys, 55 (10). ISSN 0360-0300, DOI https://doi.org/10.1145/3564240.
Gryshchuk, Vadym and Weber, Cornelius and Loo, Chu Kiong and Wermter, Stefan (2022) Go ahead and do not forget: Modular lifelong learning from event-based data. Neurocomputing, 500. pp. 1063-1074. ISSN 0925-2312, DOI https://doi.org/10.1016/j.neucom.2022.05.101.
Liew, Wei Shiung and Loo, Chu Kiong and Wermter, Stefan (2021) Emotion recognition using explainable genetically optimized fuzzy ART ensembles. IEEE Access, 9. pp. 61513-61531. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2021.3072120.
Masuyama, Naoki and Loo, Chu Kiong and Wermter, Stefan (2019) A Kernel Bayesian Adaptive Resonance Theory with A Topological Structure. International Journal of Neural Systems, 29 (05). p. 1850052. ISSN 0129-0657, DOI https://doi.org/10.1142/S0129065718500521.
Zhang, Xingzhong and Chuah, Joon Huang and Loo, Chu Kiong and Wermter, Stefan (2024) An Energy Sampling Replay-Based Continual Learning Framework. In: Artificial Neural Networks and Machine Learning-ICANN 2024, Pt II, 17-20 September 2024, Univ Italian Switzerland, Lugano, SWITZERLAND.
Gryshchuk, Vadym and Weber, Cornelius and Loo, Chu Kiong and Wermter, Stefan (2021) Lifelong learning from event-based data. In: ESANN 2021 Proceedings - 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 6-8 October 2021, Virtual, Online.
