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Innovative feature-driven machine learning and deep learning for finance, education, and healthcare.
- Published in:
- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11477, doi. 10.1007/s00521-023-08543-8
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E-learningDJUST: E-learning dataset from Jordan university of science and technology toward investigating the impact of COVID-19 pandemic on education.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11481, doi. 10.1007/s00521-021-06712-1
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A neural network approach to optimising treatments for depression using data from specialist and community psychiatric services in Australia, New Zealand and Japan.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11497, doi. 10.1007/s00521-021-06710-3
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A feature weighted support vector machine and artificial neural network algorithm for academic course performance prediction.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11517, doi. 10.1007/s00521-021-05962-3
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A novel bio-inspired hybrid multi-filter wrapper gene selection method with ensemble classifier for microarray data.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11531, doi. 10.1007/s00521-021-06459-9
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tofee-tree: automatic feature engineering framework for modeling trend-cycle in time series forecasting.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11563, doi. 10.1007/s00521-021-06438-0
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- Article
Rib segmentation algorithm for X-ray image based on unpaired sample augmentation and multi-scale network.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11583, doi. 10.1007/s00521-021-06546-x
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- Article
A new deep belief network-based multi-task learning for diagnosis of Alzheimer's disease.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11599, doi. 10.1007/s00521-021-06149-6
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Data-driven approaches and model-based methods for detecting and locating leaks in water distribution systems: a literature review.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11611, doi. 10.1007/s00521-023-08497-x
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Influencing brain waves by evoked potentials as biometric approach: taking stock of the last six years of research.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11625, doi. 10.1007/s00521-023-08539-4
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Interval type-2 fuzzy neural network-based adaptive compensation control for omni-directional mobile robot.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11653, doi. 10.1007/s00521-023-08309-2
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A novel deep learning approach to predict subject arm movements from EEG-based signals.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11669, doi. 10.1007/s00521-023-08310-9
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- Article
An error correction system for sea surface temperature prediction.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11681, doi. 10.1007/s00521-023-08311-8
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- Article
Reinforcement control with fuzzy-rules emulated network for robust-optimal drug-dosing of cancer dynamics.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11701, doi. 10.1007/s00521-023-08312-7
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Statistical arbitrage in the stock markets by the means of multiple time horizons clustering.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11713, doi. 10.1007/s00521-023-08313-6
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An interactive deep model combined with Retinex for low-light visible and infrared image fusion.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11733, doi. 10.1007/s00521-023-08314-5
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Fully distributed dynamic event-triggered output regulation for heterogeneous linear multiagent systems under fixed and switching topologies.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11753, doi. 10.1007/s00521-023-08318-1
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Evaluating green cover and open spaces in informal settlements of Mumbai using deep learning.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11773, doi. 10.1007/s00521-023-08320-7
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MTED: multiple teachers ensemble distillation for compact semantic segmentation.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11789, doi. 10.1007/s00521-023-08321-6
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Laplace's rule of succession: a simple and efficient way to compare metaheuristics.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11807, doi. 10.1007/s00521-023-08322-5
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Cross-media correlation learning for web video event mining with integrated text semantics and network structural information.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11815, doi. 10.1007/s00521-023-08323-4
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Development of a compressed FCN architecture for semantic segmentation using Particle Swarm Optimization.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11833, doi. 10.1007/s00521-023-08324-3
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- Article
Fuzzy rough digraph based on strength of connectedness with application.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11847, doi. 10.1007/s00521-023-08325-2
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Multi-objective optimal allocation of multiple capacitors and distributed generators considering different load models using Lichtenberg and thermal exchange optimization techniques.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11867, doi. 10.1007/s00521-023-08327-0
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A novel probabilistic and 3D column P300 stimulus presentation paradigm for EEG-based spelling systems.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11901, doi. 10.1007/s00521-023-08329-y
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- Article
Adaptive dual niching-based differential evolution with resource reallocation for nonlinear equation systems.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11917, doi. 10.1007/s00521-023-08330-5
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Pedestrian gender classification on imbalanced and small sample datasets using deep and traditional features.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11937, doi. 10.1007/s00521-023-08331-4
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- Article
Multi-objective fitness-dependent optimizer algorithm.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11969, doi. 10.1007/s00521-023-08332-3
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Multi-centers SoftMax reciprocal average precision loss for deep metric learning.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 11989, doi. 10.1007/s00521-023-08334-1
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Multi-classification for EEG motor imagery signals using data evaluation-based auto-selected regularized FBCSP and convolutional neural network.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 12001, doi. 10.1007/s00521-023-08336-z
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DL-DARE: Deep learning-based different activity recognition for the human–robot interaction environment.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 12029, doi. 10.1007/s00521-023-08337-y
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SoftClusterMix: learning soft boundaries for empirical risk minimization.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 12039, doi. 10.1007/s00521-023-08338-x
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Coconut trees classification based on height, inclination, and orientation using MIN-SVM algorithm.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 12055, doi. 10.1007/s00521-023-08339-w
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Classification of apple images using support vector machines and deep residual networks.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 12073, doi. 10.1007/s00521-023-08340-3
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A framework for classifying breast cancer based on deep features integration and selection.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 12089, doi. 10.1007/s00521-023-08341-2
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An interdependent evolutionary machine learning model applied to global horizontal irradiance modeling.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 12099, doi. 10.1007/s00521-023-08342-1
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Evaluation of EfficientNet models for COVID-19 detection using lung parenchyma.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 12121, doi. 10.1007/s00521-023-08344-z
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Neural architecture search for energy-efficient always-on audio machine learning.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 12133, doi. 10.1007/s00521-023-08345-y
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Circuit design completion using graph neural networks.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 12145, doi. 10.1007/s00521-023-08346-x
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Physics-informed neural networks for predicting liquid dairy manure temperature during storage.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 12159, doi. 10.1007/s00521-023-08347-w
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Flow-based intrusion detection on software-defined networks: a multivariate time series anomaly detection approach.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 12175, doi. 10.1007/s00521-023-08376-5
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Feature extraction and selection from electroencephalogram signals for epileptic seizure diagnosis.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 12195, doi. 10.1007/s00521-023-08350-1
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A method for mapping and monitoring of iron ore stopes based on hyperspectral remote sensing-ground data and a 3D deep neural network.
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- Neural Computing & Applications, 2023, v. 35, n. 16, p. 12221, doi. 10.1007/s00521-023-08353-y
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Correction to: Adaptive 1-dimensional time invariant learning for inertial sensor-based gait authentication.
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- 2023
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- Correction Notice
Correction to: AM-ConvGRU: a spatio-temporal model for typhoon path prediction.
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- 2023
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- Correction Notice
Correction to: Maize crop disease detection using NPNet-19 convolutional neural network.
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- 2023
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- Correction Notice
Correction to: Human activity recognition from sensor data using spatial attention-aided CNN with genetic algorithm.
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- 2023
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- Correction Notice
Correction to: Special issue on large-scale neural computing and cybersecurity opportunities using artificial intelligence.
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- 2023
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- Correction Notice