Adaptive Multi-Source Transfer Learning Approaches for Environmental Challenges

Short title	Adaptive Multi-Source Transfer Learning Approaches for Environmental Challenges
Status	Active
Effective start/end date	1/03/24 → 28/02/26

Automated Class Imbalance Learning via Few-shot Bayesian Optimization with Meta-learned Deep Kernel Surrogates
Wang, Z., Wang, S. & Ernst, D., 31 Mar 2025, (Accepted/In press) 2025 International Joint Conference on Neural Networks (IJCNN). IEEE, 10 p. (Proceedings of the International Joint Conference on Neural Networks (IJCNN)).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A Multi-Model Approach for Handling Concept Drifting Data in Federated Learning
Yang, G., Chen, X., Zhang, T. & Wang, S., 5 Nov 2024, (Accepted/In press) 2024 20th International Conference on Mobility, Sensing and Networking (MSN). IEEE, (International Conference on Mobile Ad-hoc and Sensor Networks, MSN).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Multi-Objective Optimization for Flexible Building Space Usage
Lyu, H., Herring, D., Wang, L., Ninic, J., Andrews, J., Li, M., Kocvara, M., Spill, F. & Wang, S., 30 Jul 2024, 2024 IEEE Conference on Artificial Intelligence (CAI). IEEE, p. 932-939 8 p. (Artificial Intelligence (CAI), IEEE Conference on).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
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