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EEG-based emotion recognition using random Convolutional Neural Networks
(
Elsevier Ltd
, 2022 , Article)
Emotion recognition based on electroencephalogram (EEG) signals is helpful in various fields, including medical healthcare. One possible medical application is to diagnose emotional disorders in patients. Humans tend to ...
Experimental evaluation of stochastic configuration networks: Is SC algorithm inferior to hyper-parameter optimization method?
(
Elsevier Ltd
, 2022 , Article)
To overcome the pitfalls of Random Vector Functional Link (RVFL), a network called Stochastic Configuration Networks (SCN) has been proposed. By constraining and adaptively selecting the range of randomized parameters using ...
Ensemble deep learning: A review
(
Elsevier Ltd
, 2022 , Other)
Ensemble learning combines several individual models to obtain better generalization performance. Currently, deep learning architectures are showing better performance compared to the shallow or traditional models. Deep ...
Wireless Network Slice Assignment with Incremental Random Vector Functional Link Network
(
IEEE Computer Society
, 2022 , Article)
This paper presents an artificial intelligence-assisted network slice prediction method, which utilizes a novel incremental random vector functional link (IRVFL) network to deal with the wireless network slice assignment ...
Minimum Variance Embedded Random Vector Functional Link Network with Privileged Information
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
A teacher in a school plays significant role in classroom while teaching the students. Similarly, learning via privileged information (LUPI) gives extra information generated by a teacher to 'teach' the learning algorithm ...
Time Series Forecasting Using Online Performance-based Ensemble Deep Random Vector Functional Link Neural Network
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
Time series forecasting remains a challenging task in data science while it is of great relevance to decision-making in various industries such as transportation, finance, electricity resource management, meteorology. ...
Representation learning using deep random vector functional link networks for clustering: Representation learning using deep RVFL for clustering
(
Elsevier Ltd
, 2022 , Article)
Random Vector Functional Link (RVFL) Networks have received a lot of attention due to the fast training speed as the non-iterative solution characteristic. Currently, the main research direction of RVFLs has supervised ...
Random vector functional link neural network based ensemble deep learning for short-term load forecasting
(
Elsevier Ltd
, 2022 , Article)
Electric load forecasting is essential for the planning and maintenance of power systems. However, its un-stationary and non-linear properties impose significant difficulties in predicting future demand. This paper proposes ...
Ensemble of Metaheuristic and Exact Algorithm Based on the Divide-And-Conquer Framework for Multisatellite Observation Scheduling
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Satellite observation scheduling plays a significant role in improving the efficiency of Earth observation systems. To solve the large-scale multisatellite observation scheduling problem, this article proposes an ensemble ...
Oblique and rotation double random forest
(
Elsevier Ltd
, 2022 , Article)
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 them are the ensemble models’ core strength. ...