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Publication search results
found 342 matches
- 2024
- Eman Alajrami, Tiffany Ng, Jevgeni Jevsikov, Preshen Naidoo, Patricia Fernandes, Neda Azarmehr, Fateme Dinmohammadi, Matthew J. Shun-Shin, Nasim Dadashi Serej, Darrel P. Francis, Massoud Zolgharni:
Active learning for left ventricle segmentation in echocardiography. Comput. Methods Programs Biomed. 248: 108111 (2024) - Elena Carrión Candel, Cristina de-la Peña, Beatriz Chaves-Yuste:
Pre-service teachers' perception of active learning methodologies in history: Flipped classroom and gamification in an e-learning environment. Educ. Inf. Technol. 29(3): 3365-3387 (2024) - Guipeng Lan, Shuai Xiao, Jiachen Yang, Jiabao Wen, Wen Lu, Xinbo Gao:
Active learning inspired method in generative models. Expert Syst. Appl. 249: 123582 (2024) - Christopher Nixon, Mohamed H. Sedky, Justin Champion, Mohamed Hassan:
SALAD: A split active learning based unsupervised network data stream anomaly detection method using autoencoders. Expert Syst. Appl. 248: 123439 (2024) - Palizhati Adili, Yiwang Chen:
Fast Disaster Event Detection from Social Media: An Active Learning Method. Int. J. Comput. Commun. Control 19(2) (2024) - Shengxue Tang, Hongfan Wang, Weiwei Wang, Chenglong Liu:
A fault diagnosis method for active power factor correction power supply based on seagull algorithm optimized kernel-based extreme learning machine. Int. J. Circuit Theory Appl. 52(3): 1116-1135 (2024) - Gregory W. Kyro, Anton Morgunov, Rafael I. Brent, Victor S. Batista:
ChemSpaceAL: An Efficient Active Learning Methodology Applied to Protein-Specific Molecular Generation. J. Chem. Inf. Model. 64(3): 653-665 (2024) - Ang Li, Meng Han, Dongliang Mu, Zhihui Gao, Shujuan Liu:
Online active learning method for multi-class imbalanced data stream. Knowl. Inf. Syst. 66(4): 2355-2391 (2024) - Dongyuan Shi, Woon-Seng Gan, Xiaoyi Shen, Zhengding Luo, Junwei Ji:
What is behind the meta-learning initialization of adaptive filter? - A naive method for accelerating convergence of adaptive multichannel active noise control. Neural Networks 172: 106145 (2024) - Tianxiang Wang, Qun Dai:
A patch distribution-based active learning method for multiple instance Alzheimer's disease diagnosis. Pattern Recognit. 150: 110341 (2024) - Yuequan Bao, Huabin Sun, Xiaoshu Guan, Yuxuan Tian:
An active learning method using deep adversarial autoencoder-based sufficient dimension reduction neural network for high-dimensional reliability analysis. Reliab. Eng. Syst. Saf. 247: 110140 (2024) - Ning Lu, Yan-Feng Li, Jinhua Mi, Hong-Zhong Huang:
AMFGP: An active learning reliability analysis method based on multi-fidelity Gaussian process surrogate model. Reliab. Eng. Syst. Saf. 246: 110020 (2024) - Linhan Ouyang, Yushuai Che, Chanseok Park, Yuejian Chen:
A novel active learning Gaussian process modeling-based method for time-dependent reliability analysis considering mixed variables. Reliab. Eng. Syst. Saf. 244: 109916 (2024) - Jinsheng Wang, Guoji Xu, Peng Yuan, Yongle Li, Ahsan Kareem:
An efficient and versatile Kriging-based active learning method for structural reliability analysis. Reliab. Eng. Syst. Saf. 241: 109670 (2024) - Jiaxin Wan, Zhiliang Qin, Xiaodong Cui, Fanlin Yang, Benjun Ma:
Application of Sample Enhancement Method Combining Superpixel Segmentation and Active Learning in MBES Seafloor Sediment Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - Yushuai Che, Yan Ma, Yongxiang Li, Linhan Ouyang:
A Novel Active-Learning Kriging Reliability Analysis Method Based on Parallelized Sampling Considering Budget Allocation. IEEE Trans. Reliab. 73(1): 589-601 (2024) - Sharath M. Shankaranarayana, Anubhab Samal, Chikka Veera Raghavendra, Vijay Sankar, Arindam Dey, Sangam Kumar Singh:
A Hybrid Sampling Methodology Based Cost Effective Active Learning for Tabular Data. COMSNETS 2024: 147-152 - Renan Lima Baima, Tiago Miguel Barao Caetano, Ana Carolina Oliveira Lima, Emília Oliveira Lima Leal, Tiago Miguel Pereira Candeias, Silvia Maria Dias Pedro Rebouças:
Hybrid Active Teaching Methodology for Learning Development: A Self-assessment Case Study Report in Computer Engineering. SAC 2024: 1180-1184 - Renan Lima Baima, Tiago Miguel Barao Caetano, Ana Carolina Oliveira Lima, Emília Oliveira Lima Leal, Tiago Miguel Pereira Candeias, Silvia Maria Dias Pedro Rebouças:
Hybrid Active Teaching Methodology for Learning Development: A Self-assessment Case Study Report in Computer Engineering. CoRR abs/2402.06020 (2024) - 2023
- Erdal Özbay:
An active deep learning method for diabetic retinopathy detection in segmented fundus images using artificial bee colony algorithm. Artif. Intell. Rev. 56(4): 3291-3318 (2023) - Mostafa Saneii, Ali Kazemeini, Sania Esmaeilzadeh Seilabi, Mohammad Miralinaghi, Samuel Labi:
A methodology for scheduling within-day roadway work zones using deep neural networks and active learning. Comput. Aided Civ. Infrastructure Eng. 38(9): 1101-1126 (2023) - Ye Yuan, Francis T. K. Au, Dong Yang, Jing Zhang:
Active learning structural model updating of a multisensory system based on Kriging method and Bayesian inference. Comput. Aided Civ. Infrastructure Eng. 38(3): 353-371 (2023) - Teng Sun, Wen Zhang, Zhonghua Miao, Zhe Zhang, Nan Li:
Object localization methodology in occluded agricultural environments through deep learning and active sensing. Comput. Electron. Agric. 212: 108141 (2023) - Liang Wan, Yufei Liu, Yong He, Haiyan Cen:
Prior knowledge and active learning enable hybrid method for estimating leaf chlorophyll content from multi-scale canopy reflectance. Comput. Electron. Agric. 214: 108308 (2023) - Peng Zhou, Tongxin Zhang, Liwen Zhao, Yifan Qi, Yuan Chang, Lu Bai:
Pre-clustering active learning method for automatic classification of building structures in urban areas. Eng. Appl. Artif. Intell. 123(Part C): 106382 (2023) - Riccardo Pellegrini, Jeroen Wackers, Riccardo Broglia, Andrea Serani, Michel Visonneau, Matteo Diez:
A multi-fidelity active learning method for global design optimization problems with noisy evaluations. Eng. Comput. 39(5): 3183-3206 (2023) - Baojie Song, Kai Qiao, Jie Yang, Shuhao Shi, Jian Chen, Bin Yan:
An active learning method based on result quality evaluation for printed circuit board computed tomography image segmentation. IET Image Process. 17(13): 3688-3701 (2023) - Qiugang Zhan, Guisong Liu, Xiurui Xie, Malu Zhang, Guolin Sun:
Bio-inspired Active Learning method in spiking neural network. Knowl. Based Syst. 261: 110193 (2023) - Kangjie Li, Wenjing Ye:
A generative adversarial active learning method for mechanical layout generation. Neural Comput. Appl. 35(26): 19315-19335 (2023) - Zihao Leng, Jie Zhang, Yi Ma, Jingyu Zhang:
ICESat-2 Bathymetric Signal Reconstruction Method Based on a Deep Learning Model with Active-Passive Data Fusion. Remote. Sens. 15(2): 460 (2023)
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