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Publication search results
found 79 matches
- 2020
- Mehdi Abedi, Farhad Soleimanian Gharehchopogh:
An improved opposition based learning firefly algorithm with dragonfly algorithm for solving continuous optimization problems. Intell. Data Anal. 24(2): 309-338 (2020) - Zeynep Adak, Ayhan Demiriz:
Hybridization of population-based ant colony optimization via data mining. Intell. Data Anal. 24(2): 291-307 (2020) - Bassel Ali, Koichi Moriyama, Wasin Kalintha, Masayuki Numao, Ken-ichi Fukui:
Reinforcement learning based metric filtering for evolutionary distance metric learning. Intell. Data Anal. 24(6): 1345-1364 (2020) - Alireza Abbas Alipour, Ebrahim Ansari:
An advanced profile hidden Markov model for malware detection. Intell. Data Anal. 24(4): 759-778 (2020) - Richard A. Bauder, Taghi M. Khoshgoftaar:
A study on rare fraud predictions with big Medicare claims fraud data. Intell. Data Anal. 24(1): 141-161 (2020) - Heraldo Borges, Murillo Dutra, Amin Bazaz, Rafaelli Coutinho, Fabio Perosi, Fábio Porto, Florent Masseglia, Esther Pacitti, Eduardo S. Ogasawara:
Spatial-time motifs discovery. Intell. Data Anal. 24(5): 1121-1140 (2020) - Lynda Boukela, Gongxuan Zhang, Samia Bouzefrane, Junlong Zhou:
An outlier ensemble for unsupervised anomaly detection in honeypots data. Intell. Data Anal. 24(4): 743-758 (2020) - Ross Callister, Mihai M. Lazarescu, Duc-Son Pham:
RobustRepStream: Robust stream clustering using self-controlled connectivity graph. Intell. Data Anal. 24(4): 799-830 (2020) - Zuo Chen, Xin Li, Min Wang, Shenggang Yang:
Domain sentiment dictionary construction and optimization based on multi-source information fusion. Intell. Data Anal. 24(2): 229-251 (2020) - Li Cheng, Yijie Wang, Xingkong Ma:
An end-to-end distance measuring for mixed data based on deep relevance learning. Intell. Data Anal. 24(1): 83-99 (2020) - Depeng Dang, Chuangxia Chen, Wenhui Yu, Huaxiao Hu:
A semantic-aware collaborative filtering recommendation method for emergency plans in response to meteorological hazards. Intell. Data Anal. 24(3): 705-721 (2020) - Depeng Dang, Wenhui Yu, Chuangxia Chen, Rongen Yan, Xiaoran Zhang, Xiaoming Zhu:
Real-time detection and trend tracing of burst topics based on Negative Binomial Distribution on spark. Intell. Data Anal. 24(4): 925-940 (2020) - Kejun Deng, Xuemiao Zhang, Songtao Ye, Junfei Liu:
Knowledge-embodied attention for distantly supervised relation extraction. Intell. Data Anal. 24(2): 445-457 (2020) - Sérgio M. Dias, Luis E. Zárate, Mark A. J. Song, Newton José Vieira, Ch. Aswani Kumar:
Extraction of qualitative behavior rules for industrial processes from reduced concept lattice. Intell. Data Anal. 24(3): 643-663 (2020) - Zhiyi Duan, Limin Wang, Minghui Sun:
Efficient heuristics for learning Bayesian network from labeled and unlabeled data. Intell. Data Anal. 24(2): 385-408 (2020) - Thiago de Paulo Faleiros, Alan Valejo, Alneu de Andrade Lopes:
Unsupervised learning of textual pattern based on Propagation in Bipartite Graph. Intell. Data Anal. 24(3): 543-565 (2020) - A. Fazel Famili:
Editorial. Intell. Data Anal. 24(6): 1235-1237 (2020) - Nikos Fazakis, Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas:
An active learning ensemble method for regression tasks. Intell. Data Anal. 24(3): 607-623 (2020) - Dalton Ieda Fazanaro, Hélio Pedrini:
A comparative analysis of Bayesian network structure learning algorithms applied to crime data. Intell. Data Anal. 24(4): 887-907 (2020) - Jacques Fize, Mathieu Roche, Maguelonne Teisseire:
Could spatial features help the matching of textual data? Intell. Data Anal. 24(5): 1043-1064 (2020) - Luís Paulo F. Garcia, Adriano Rivolli, Edesio Alcobaça, Ana Carolina Lorena, André C. P. L. F. de Carvalho:
Boosting meta-learning with simulated data complexity measures. Intell. Data Anal. 24(5): 1011-1028 (2020) - Leticia I. Gómez, Bart Kuijpers, Alejandro A. Vaisman:
Online analytical processsing on graph data. Intell. Data Anal. 24(3): 515-541 (2020) - Yaocheng Gui, Qian Liu, Zhiqiang Gao:
Learning labeling functions in distantly supervised relation extraction. Intell. Data Anal. 24(2): 427-443 (2020) - Huiping Guo, Hongru Li:
An efficient Bayesian network structure learning algorithm using the strategy of two-stage searches. Intell. Data Anal. 24(5): 1087-1106 (2020) - Linsen Guo, Deyu Zhou, Yulan He, Haiyang Xu:
Storyline extraction from news articles with dynamic dependency. Intell. Data Anal. 24(1): 183-197 (2020) - Chien-Feng Huang, Hsiao-Chi Wu, Po-Chun Chen, Bao Rong Chang:
Autonomous self-evolving forecasting models for price movement in high frequency trading: Evidence from Taiwan. Intell. Data Anal. 24(5): 1175-1206 (2020) - Donghoon Kang, Sejong Oh:
Balanced training/test set sampling for proper evaluation of classification models. Intell. Data Anal. 24(1): 5-18 (2020) - Katherine C. Kempfert, Yishi Wang, Cuixian Chen, Samuel W. K. Wong:
A comparison study on nonlinear dimension reduction methods with kernel variations: Visualization, optimization and classification. Intell. Data Anal. 24(2): 267-290 (2020) - Ritaban Kirtania, Sushmita Mitra, B. Uma Shankar:
A novel adaptive k-NN classifier for handling imbalance: Application to brain MRI. Intell. Data Anal. 24(4): 909-924 (2020) - Thanh Le, Giang Tran, Hoai Bac Le:
Feature learning for representing sparse networks based on random walks. Intell. Data Anal. 24(4): 873-886 (2020)
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