Computational intelligence in healthcare and biosignal processing
暂无分享,去创建一个
Valentina E. Balas | Arunkumar Rajendran | Nagaraj Balakrishnan | V. Balas | Arunkumar Rajendran | Nagaraj Balakrishnan
[1] Daniel L. Rubin,et al. Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions , 2017, Journal of Digital Imaging.
[2] Emilien Dupont,et al. Joint-VAE: Learning Disentangled Joint Continuous and Discrete Representations , 2018, NeurIPS.
[3] Sanjay Kumar Dubey,et al. Comparative Analysis of K-Means and Fuzzy C- Means Algorithms , 2013 .
[4] Cosimo Birtolo,et al. Advances in Clustering Collaborative Filtering by means of Fuzzy C-means and trust , 2013, Expert Syst. Appl..
[5] Rajalakshmi Selvaraj,et al. Optimal and Novel Hybrid Feature Selection Framework for Effective Data Classification , 2018 .
[6] Lei Guo,et al. When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[7] Bo Zhang,et al. Discriminatively Boosted Image Clustering with Fully Convolutional Auto-Encoders , 2017, Pattern Recognit..
[8] Daniel Cohen-Or,et al. Clustering-Driven Deep Embedding With Pairwise Constraints , 2018, IEEE Computer Graphics and Applications.
[9] Hongping Shu,et al. Spectra data classification with kernel extreme learning machine , 2019, Chemometrics and Intelligent Laboratory Systems.
[10] Ali Gholipour,et al. Semi-Supervised Learning With Deep Embedded Clustering for Image Classification and Segmentation , 2019, IEEE Access.
[11] Mita Nasipuri,et al. Conditional spatial fuzzy C-means clustering algorithm for segmentation of MRI images , 2015, Appl. Soft Comput..
[12] Marimuthu Palaniswami,et al. Fuzzy c-Means Algorithms for Very Large Data , 2012, IEEE Transactions on Fuzzy Systems.
[13] Sonali Agarwal,et al. Data Mining in Education: Data Classification and Decision Tree Approach , 2012 .
[14] Alireza Mehridehnavi,et al. Neural network and deep-learning algorithms used in QSAR studies: merits and drawbacks. , 2018, Drug discovery today.
[15] Joseph Sarkis,et al. Complex investment decisions using rough set and fuzzy c-means: An example of investment in green supply chains , 2016, Eur. J. Oper. Res..
[16] Pieter Abbeel,et al. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets , 2016, NIPS.
[17] Jonathan Cheung-Wai Chan,et al. Collaborative learning of lightweight convolutional neural network and deep clustering for hyperspectral image semi-supervised classification with limited training samples , 2020 .
[18] Thomas Blaschke,et al. The rise of deep learning in drug discovery. , 2018, Drug discovery today.
[19] Sheng Huang,et al. Clustering With Orthogonal AutoEncoder , 2019, IEEE Access.
[20] Jianping Yin,et al. Improved Deep Embedded Clustering with Local Structure Preservation , 2017, IJCAI.
[21] Addin Osman,et al. Rocchio algorithm-based particle initialization mechanism for effective PSO classification of high dimensional data , 2017, Swarm Evol. Comput..
[22] Xudong Jiang,et al. Deep Clustering With Variational Autoencoder , 2020, IEEE Signal Processing Letters.
[23] Lin Wu,et al. Deep adaptive feature embedding with local sample distributions for person re-identification , 2017, Pattern Recognit..
[24] Huanhuan Zhang,et al. Non-reference image quality assessment based on deep clustering , 2020, Signal Process. Image Commun..
[25] Jin Young Kim,et al. Carotid artery image segmentation using modified spatial fuzzy c-means and ensemble clustering , 2012, Comput. Methods Programs Biomed..
[26] Fu Xiao,et al. A short-term building cooling load prediction method using deep learning algorithms , 2017 .
[27] Johannes Söding,et al. MMseqs software suite for fast and deep clustering and searching of large protein sequence sets , 2016, Bioinform..
[28] Youyong Kong,et al. A Hierarchical Fused Fuzzy Deep Neural Network for Data Classification , 2017, IEEE Transactions on Fuzzy Systems.
[29] Li Deng,et al. A tutorial survey of architectures, algorithms, and applications for deep learning , 2014, APSIPA Transactions on Signal and Information Processing.
[30] Rajesh Kumar,et al. Realisation of a cluster-based protocol using fuzzy C-means algorithm for wireless sensor networks , 2013, IET Wirel. Sens. Syst..
[31] Wei Gao,et al. Forecasting of rockbursts in deep underground engineering based on abstraction ant colony clustering algorithm , 2015, Natural Hazards.
[32] Ahmet Arslan,et al. A hybrid method for imputation of missing values using optimized fuzzy c-means with support vector regression and a genetic algorithm , 2013, Inf. Sci..
[33] Ye Zhang,et al. A Novel Deep Embedding Network for Building Shape Recognition , 2017, IEEE Geoscience and Remote Sensing Letters.
[34] Xian Fu,et al. Kernel-based fuzzy c-means clustering algorithm based on genetic algorithm , 2016, Neurocomputing.
[35] Jinchang Ren,et al. Fast implementation of two-dimensional singular spectrum analysis for effective data classification in hyperspectral imaging , 2017, J. Frankl. Inst..
[36] Geoffrey E. Hinton,et al. Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures , 2018, NeurIPS.
[37] Gokhan Bilgin,et al. Cell segmentation in histopathological images with deep learning algorithms by utilizing spatial relationships , 2017, Medical & Biological Engineering & Computing.
[38] Abhinav Singh,et al. Exploration and Implementation of Classification Algorithms for Patent Classification , 2018, International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018.
[39] Kuo-Chen Hung,et al. Intuitionistic fuzzy $$c$$c-means clustering algorithm with neighborhood attraction in segmenting medical image , 2015, Soft Comput..
[40] Xuelong Li,et al. Joint Embedding Learning and Sparse Regression: A Framework for Unsupervised Feature Selection , 2014, IEEE Transactions on Cybernetics.