• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 8,922 matches

• 2021
• 
  Yuan Li, Zhuojian Wang, Zhe Li, Zihan Jiang:
  Pressure Signal Prediction of Aviation Hydraulic Pumps Based on Phase Space Reconstruction and Support Vector Machine. IEEE Access 9: 2966-2974 (2021)
• 
  Ibrahim Omara, Ahmed Hagag, Souleyman Chaib, Guangzhi Ma, Fathi E. Abd El-Samie, Enmin Song:
  A Hybrid Model Combining Learning Distance Metric and DAG Support Vector Machine for Multimodal Biometric Recognition. IEEE Access 9: 4784-4796 (2021)
• 
  Wei Xiong, Yimin Mo, Cong Yan:
  Online State-of-Health Estimation for Second-Use Lithium-Ion Batteries Based on Weighted Least Squares Support Vector Machine. IEEE Access 9: 1870-1881 (2021)
• 
  Zhuoqun Yu, Yongyan Wang, Hao Wang:
  Constitutive Modeling of Cemented Tailings Backfill With Different Saturation States Based on Particle Swarm Optimization and Support Vector Machine. IEEE Access 9: 9356-9364 (2021)
• 
  Hongwei Dong, Liming Yang, Xue Wang:
  Robust semi-supervised support vector machines with Laplace kernel-induced correntropy loss functions. Appl. Intell. 51(2): 819-833 (2021)
• 
  Asunción Jiménez-Cordero, Sebastián Maldonado:
  Automatic feature scaling and selection for support vector machine classification with functional data. Appl. Intell. 51(1): 161-184 (2021)
• 
  Neelam Sharma, Maheshkumar H. Kolekar, Kamlesh Jha:
  EEG based dementia diagnosis using multi-class support vector machine with motor speed cognitive test. Biomed. Signal Process. Control. 63: 102102 (2021)
• 
  Alejandra Urtubia, Roberto León, Matías Vargas:
  Identification of chemical markers to detect abnormal wine fermentation using support vector machines. Comput. Chem. Eng. 145: 107158 (2021)
• 
  Raymond Chiong, Zongwen Fan, Zhongyi Hu, Fabian Chiong:
  Using an improved relative error support vector machine for body fat prediction. Comput. Methods Programs Biomed. 198: 105749 (2021)
• 
  Pavithra S, Janakiraman S:
  Enhanced polynomial kernel (EPK)-based support vector machine (SVM) (EPK-SVM) classification technique for speech recognition in hearing-impaired listeners. Concurr. Comput. Pract. Exp. 33(3) (2021)
• 
  Ting Ke, Lidong Zhang, Xuechun Ge, Hui Lv, Min Li:
  Construct a robust least squares support vector machine based on Lp-norm and L∞-norm. Eng. Appl. Artif. Intell. 99: 104134 (2021)
• 
  Jian Zhou, Yingui Qiu, Shuangli Zhu, Danial Jahed Armaghani, Chuanqi Li, Hoang Nguyen, Saffet Yagiz:
  Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate. Eng. Appl. Artif. Intell. 97: 104015 (2021)
• 
  Zheming Gao, Shu-Cherng Fang, Jian Luo, Negash Medhin:
  A kernel-free double well potential support vector machine with applications. Eur. J. Oper. Res. 290(1): 248-262 (2021)
• 
  Libo Yang:
  Fuzzy Output Support Vector Machine Based Incident Ticket Classification. IEICE Trans. Inf. Syst. 104-D(1): 146-151 (2021)
• 
  Amina Merzoug, Nacéra Benamrane, Abdelmalik Taleb-Ahmed:
  Lesions Detection of Multiple Sclerosis in 3D Brian MR Images by Using Artificial Immune Systems and Support Vector Machines. Int. J. Cogn. Informatics Nat. Intell. 15(2): 110-123 (2021)
• 
  Mahdi Ajdani, Hamid Reza Ghaffary:
  Design network intrusion detection system using support vector machine. Int. J. Commun. Syst. 34(3) (2021)
• 
  Jing Wang, Libing Wu, Huaqun Wang, Kim-Kwang Raymond Choo, Debiao He:
  An Efficient and Privacy-Preserving Outsourced Support Vector Machine Training for Internet of Medical Things. IEEE Internet Things J. 8(1): 458-473 (2021)
• 
  Guoquan Li, Linxi Yang, Zhiyou Wu, Changzhi Wu:
  D.C. programming for sparse proximal support vector machines. Inf. Sci. 547: 187-201 (2021)
• 
  Weichen Wu, Yitian Xu, Xinying Pang:
  A hybrid acceleration strategy for nonparallel support vector machine. Inf. Sci. 546: 543-558 (2021)
• 
  Chao Yuan, Liming Yang, Ping Sun:
  Correntropy-based metric for robust twin support vector machine. Inf. Sci. 545: 82-101 (2021)
• 
  Jun Ma, Liming Yang, Qun Sun:
  Adaptive robust learning framework for twin support vector machine classification. Knowl. Based Syst. 211: 106536 (2021)
• 
  K. Satya Sujith, G. Sasikala:
  Optimal support vector machine and hybrid tracking model for behaviour recognition in highly dense crowd videos. Data Technol. Appl. 55(1): 19-40 (2021)
• 
  Ying-Nong Chen, Tipajin Thaipisutikul, Chin-Chuan Han, Tzu-Jui Liu, Kuo-Chin Fan:
  Feature Line Embedding Based on Support Vector Machine for Hyperspectral Image Classification. Remote. Sens. 13(1): 130 (2021)
• 
  Tomoyuki Okabe, Yuichi Otsuka:
  Proposal of a Validation Method of Failure Mode Analyses based on the Stress-Strength Model with a Support Vector Machine. Reliab. Eng. Syst. Saf. 205: 107247 (2021)
• 
  Yajun Chen, Zhangnan Wu, Bo Zhao, Caixia Fan, Shuwei Shi:
  Weed and Corn Seedling Detection in Field Based on Multi Feature Fusion and Support Vector Machine. Sensors 21(1): 212 (2021)
• 
  Saed Asaly, Lee-Ad Gottlieb, Yuval Reuveni:
  Using Support Vector Machine (SVM) and Ionospheric Total Electron Content (TEC) Data for Solar Flare Predictions. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 1469-1481 (2021)
• 
  Lishuai Liu, Hongwei Mei, Chenjun Guo, Yanxin Tu, Liming Wang:
  Pixel-Level Classification of Pollution Severity on Insulators Using Photothermal Radiometry and Multiclass Semisupervised Support Vector Machine. IEEE Trans. Ind. Informatics 17(1): 441-449 (2021)
• 
  Caiyun Ma, Shoushui Wei, Tongshuai Chen, Jingquan Zhong, Zhenhua Liu, Chengyu Liu:
  Integration of Results From Convolutional Neural Network in a Support Vector Machine for the Detection of Atrial Fibrillation. IEEE Trans. Instrum. Meas. 70: 1-10 (2021)
• 
  Chima Stanley Eke, Emmanuel Jammeh, Xinzhong Li, Camille Carroll, Stephen Pearson, Emmanuel C. Ifeachor:
  Early Detection of Alzheimer's Disease with Blood Plasma Proteins Using Support Vector Machines. IEEE J. Biomed. Health Informatics 25(1): 218-226 (2021)
• 
  Sweta Sharma, Reshma Rastogi, Suresh Chandra:
  Large-Scale Twin Parametric Support Vector Machine Using Pinball Loss Function. IEEE Trans. Syst. Man Cybern. Syst. 51(2): 987-1003 (2021)

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