 | Freely available article in pre-press from volume 38, issue 3 of Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology Content | Call for papers | Most read content | Related publications | Share | Please feel free forward to your colleagues and share the news of our journal | Dear Colleague, Welcome to our journal newsletter for Intelligent Data Analysis (IDA). We are delighted to announce the publication of Volume 25, Issue 3. The content from this new issue is included below, as well as details on how to submit your research to the journal. Looking forward to working with you. With kind regards, Editor-in-Chief Fazel Famili | This issue of the IDA journal is the third issue for our 25th year of publication. This issue contains thirteen articles representing a wide range of topics related to the theoretical and applied research in the field of Intelligent Data Analysis. | Content EDITORIAL
Editorial RESEARCH ARTICLES
Efficient n-gram construction for text categorization using feature selection techniques
García, Maximiliano | Maldonado, Sebastián | Vairetti, Carla Multi-modal neuroimaging feature fusion via 3D Convolutional Neural Network architecture for schizophrenia diagnosis
Masoudi, Babak | Daneshvar, Sabalan | Razavi, Seyed Naser Optimization of SMOTE for imbalanced data based on AdaRBFNN and hybrid metaheuristics
Wang, Zicheng | Sun, Yanrui Sentiment classification based on weak tagging information and imbalanced data
Wang, Chuantao | Yang, Xuexin | Ding, Linkai A new perceptual evaluation method of video quality based on neural network
Frnda, Jaroslav | Pavlicko, Michal | Durica, Marek | Sevcik, Lukas | Voznak, Miroslav | Fournier-Viger, Philippe | Lin, Jerry Chun-Wei Unsupervised latent event representation learning and storyline extraction from news articles based on neural networks
Si, Jiasheng | Guo, Linsen | Zhou, Deyu A novel krill herd algorithm with orthogonality and its application to data clustering
Zhao, Chen | Liu, Zhongxin | Chen, Zengqiang | Ning, Yao An attention network based on feature sequences for cross-domain sentiment classification
Meng, Jiana | Dong, Yu | Long, Yingchun | Zhao, Dandan Bagging k-dependence Bayesian network classifiers
Wang, Limin | Qi, Sikai | Liu, Yang | Lou, Hua | Zuo, Xin Cross-modal variable-length hashing based on hierarchy
Qi, Xiaojun | Zeng, Xianhua | Wang, Shumin | Xie, Yicai | Xu, Liming Regression trees with splitting based on changes of dependencies among covariates
Boskabadi, Mostafa | Doostparast, Mahdi W-MMP2Vec: Topic-driven network embedding model for link prediction in content-based heterogeneous information network
Pham, Phu | Do, Phuc A directed link prediction method using graph convolutional network based on social ranking theory
Wu, Zheng | Chen, Hongchang | Zhang, Jianpeng | Liu, Shuxin | Huang, Ruiyang | Pei, Yulong | Call for Papers As a member of our research community, we would like to invite you to contribute your own work for publication in the journal. Intelligent Data Analysis offers contributing authors many benefits, including: · First class Editorial Board · Rigorous peer review and speedy manuscript processing Intelligent Data Analysis is indexed in Web of Science has an Impact Factor of 0.651*, and is also indexed in Scopus. Please see the Abstracting/Indexing information for further details. View the detailed Instructions to Authors. *Journal Citation Reports (Source: Clarivate, 2020) | Most Read IDA Articles in Q1 2021 Listing articles published only in 2020 and 2021 so you can read the most popular recent content | Energy modeling of Hoeffding tree ensembles (25:1) – Open Access
García-Martín, Eva | Bifet, Albert | Lavesson, Niklas Classification from positive and unlabeled data based on likelihood invariance for measurement (25:1) – Open Access
Yoshida, Takeshi | Washio, Takashi | Ohshiro, Takahito | Taniguchi, Masateru sKAdam: An improved scalar extension of KAdam for function optimization (24:S1) – Open Access
Camacho, J.D. | Villaseñor, Carlos | Alanis, Alma Y. | Lopez-Franco, Carlos | Arana-Daniel, Nancy A novel approach to fully representing the diversity in conditional dependencies for learning Bayesian network classifier (25:1)
Wang, Limin | Chen, Peng | Chen, Shenglei | Sun, Minghui Quadratic hyper-surface kernel-free least squares support vector regression (25:2)
Ye, Junyou | Yang, Zhixia | Li, Zhilin | Please share the newsletter with your colleagues! If you know any colleagues and fellow researchers who are not signed up to receive the IDA newsletter, we invite you to share this mailing with them.
To sign up for the newsletter, please click here. | You are receiving this mailing as you are signed up to receive news from IDA.
You can unsubscribe or alter your preferences at any time by clicking the links below. | | |
