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Learning to Solve Tasks with Exploring Prior Behaviour
Zhu, R., Li, S., Dai, T., Zhang, C., Celiktutan, O.
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
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https://doi.org/10.1109/IROS55552.2023.10342272
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ProtoCaps: A Fast and Non-Iterative Capsule Network Routing Method
Everett, M. A., Zhong, M., Leontidis, G.
Transactions on Machine Learning Research, pp. 1-13
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https://openreview.net/pdf?id=Id10mlBjcx
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LLEDA—Lifelong Self-Supervised Domain Adaptation
Thota, M., Yi, D., Leontidis, G.
Knowledge-Based Systems, vol. 279, 110959
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https://doi.org/10.1016/j.knosys.2023.110959
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Half of an image is enough for quality assessment
You, J., Lin, Y., Korhonen, J.
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
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https://doi.org/10.1109/ICIP49359.2023.10223124
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MFANet: Mixed Feature Attention Network for Port Lane Detection
Zhang, J., Su, J., Yi, D., Yang, J.
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
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https://doi.org/10.23919/CCC58697.2023.10240831
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A Deep Learning Approach to Self-prioritization Processing
Lu, Z., Yi, D., He, X., Sui, J.
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Domain-adapted driving scene understanding with uncertainty-aware and diversified generative adversarial networks
Hua, Y., Sui, J., Fang, H., Hu, C., Yi, D.
CAAI Transactions on Intelligence Technology
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https://doi.org/10.1049/cit2.12257
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No-Reference Point Cloud Quality Assessment via Weighted Patch Quality Prediction
Cheng, J., Su, H., Korhonen, J.
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
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https://doi.org/10.18293/SEKE2023-185
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Deep Reinforcement Learning for Real-Time Assembly Planning in Robot-Based Prefabricated Construction
Zhu, A., Dai, T., Xu, G., Pauwels, P., Vries, B. d., Fang, M.
IEEE Transactions on Automation Science and Engineering, vol. 20, no. 3, pp. 1515-1526
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https://doi.org/10.1109/TASE.2023.3236805
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No-Reference Point Cloud Quality Assessment via Weighted Patch Quality Prediction
Cheng, J., Su, H., Korhonen, J.
Working Papers and Discussion Papers
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https://doi.org/10.48550/arXiv.2305.07829
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