PSO-based CNN for Keyword Selection on Google Ads
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Jing J. Liang | J. J. Liang | H. T. Yang | W. T. Sun | J. J. Gao | Haotian Yang | Wenting Sun | Jiajia J. Gao
[1] Athena Vakali,et al. Sentiment analysis leveraging emotions and word embeddings , 2017 .
[2] Yoon Kim,et al. Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.
[3] Peng Jiang,et al. An Imbalance Modified Deep Neural Network With Dynamical Incremental Learning for Chemical Fault Diagnosis , 2019, IEEE Transactions on Industrial Electronics.
[4] James Kennedy,et al. Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[5] Hadi Veisi,et al. Sentiment analysis based on improved pre-trained word embeddings , 2019, Expert Syst. Appl..
[6] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[7] Anastasios Tefas,et al. Exploiting tf-idf in deep Convolutional Neural Networks for Content Based Image Retrieval , 2018, Multimedia Tools and Applications.
[8] Xin Yao,et al. MWMOTE--Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning , 2014 .
[9] Mengjie Zhang,et al. A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[10] Bartosz Krawczyk,et al. Learning from imbalanced data: open challenges and future directions , 2016, Progress in Artificial Intelligence.
[11] Michael J. Kurtz,et al. Google The ADS , 2006 .
[12] Hongfei Lin,et al. Bidirectional long short-term memory with CRF for detecting biomedical event trigger in FastText semantic space , 2018, BMC Bioinformatics.
[13] Hua Xu,et al. Chinese sentiment classification using a neural network tool — Word2vec , 2014, 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI).
[14] Qiang Zhang,et al. Improving Medical Short Text Classification with Semantic Expansion Using Word-Cluster Embedding , 2018, ICISA.
[15] José Francisco Martínez Trinidad,et al. Study of the impact of resampling methods for contrast pattern based classifiers in imbalanced databases , 2016, Neurocomputing.
[16] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[17] Yi Yang,et al. Putting Things in Context: Community-specific Embedding Projections for Sentiment Analysis , 2015, ArXiv.
[18] Nitesh V. Chawla,et al. SMOTE: Synthetic Minority Over-sampling Technique , 2002, J. Artif. Intell. Res..
[19] Hui Han,et al. Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning , 2005, ICIC.
[20] Luísa Coheur,et al. From symbolic to sub-symbolic information in question classification , 2011, Artificial Intelligence Review.
[21] Yijing Li,et al. Imbalanced text sentiment classification using universal and domain-specific knowledge , 2018, Knowl. Based Syst..
[22] Wenju Wang,et al. A Fast Dense Spectral-Spatial Convolution Network Framework for Hyperspectral Images Classification , 2018, Remote. Sens..
[23] Anselmo Cardoso de Paiva,et al. Convolutional neural network-based PSO for lung nodule false positive reduction on CT images , 2018, Comput. Methods Programs Biomed..
[24] Chih-Jen Lin,et al. LIBLINEAR: A Library for Large Linear Classification , 2008, J. Mach. Learn. Res..
[25] Yuming Zhou,et al. A novel ensemble method for classifying imbalanced data , 2015, Pattern Recognit..
[26] Preyas S. Desai,et al. The Company that You Keep: When to Buy a Competitor's Keyword , 2009, Mark. Sci..
[27] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[28] Peng Wang,et al. Semantic Clustering and Convolutional Neural Network for Short Text Categorization , 2015, ACL.