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Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation
Minghui Hu, Yujie Wang, Tat-Jen Cham +2
The integration of Vector Quantised Variational AutoEncoder (VQ-VAE) with autoregressive models as generation part has yielded high-quality results on image generation. However, th…
Evolutionary Multitask Optimization: Fundamental Research Questions, Practices, and Directions for the Future
Eneko Osaba, Javier Del Ser, Ponnuthurai N. Suganthan
Transfer Optimization has gained a remarkable attention from the Swarm and Evolutionary Computation community in the recent years. It is undeniable that the concepts underlying Tra…
Oblique and rotation double random forest
M. A. Ganaie, M. Tanveer, P. N. Suganthan +1
Random Forest is an ensemble of decision trees based on the bagging and random subspace concepts. As suggested by Breiman, the strength of unstable learners and the diversity among…
Random vector functional link neural network based ensemble deep learning for short-term load forecasting
Ruobin Gao, Liang Du, P. N. Suganthan +2
Electricity load forecasting is crucial for the power systems' planning and maintenance. However, its un-stationary and non-linear characteristics impose significant difficulties i…
Ensemble deep learning: A review
M. A. Ganaie, Minghui Hu, A. K. Malik +2
Ensemble learning combines several individual models to obtain better generalization performance. Currently, deep learning architectures are showing better performance compared to…
Large Scale Global Optimization Algorithms for IoT Networks: A Comparative Study
Sotirios K. Goudos, Achilles D. Boursianis, Ali Wagdy Mohamed +4
The advent of Internet of Things (IoT) has bring a new era in communication technology by expanding the current inter-networking services and enabling the machine-to-machine commun…