support vector machine

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Related Articles & Bibliographies

1
Sentiment Analysis in the Sales Review of Indonesian Marketplace by Utilizing Support Vector Machine
Anang Anggono Lutfi;Adhistya Erna Permanasari;Silmi Fauziati;
2018 journal of information systems engineering and bus... DOI: 10.20473/jisebi.4.1.... 245 views
2
Internet addiction disorder detection of Chinese college students using several personality questionnaire data and support vector machine.
Di, Zonglin;Gong, Xiaoliang;Shi, Jingyu;Ahmed, Hosameldin O A;Nandi, Asoke K;
2019 addictive behaviors reports DOI: 10.1016/j.abrep.2019... 390 views
3
Accurate prediction of potential druggable proteins based on genetic algorithm and Bagging-SVM ensemble classifier.
Lin, Jianying;Chen, Hui;Li, Shan;Liu, Yushuang;Li, Xuan;Yu, Bin;
2019 artificial intelligence in medicine DOI: S0933-3657(18)30392-... 329 views
4
Mining featured biomarkers associated with vascular invasion in HCC by bioinformatics analysis with TCGA RNA sequencing data.
Zhang, Ruoyan;Ye, Junfeng;Huang, Heyu;Du, Xiaohong;
2019 Biomedicine & pharmacotherapy = Biomedecine & phar... DOI: S0753-3322(19)30219-... 297 views
5
Gap-filling approaches for eddy covariance methane fluxes: A comparison of three machine learning algorithms and a traditional method with principal component analysis.
Kim, Yeonuk;Johnson, Mark S;Knox, Sara Helen;Black, T Andrew;Dalmagro, Higo J;Kang, Minseok;Kim, Joo...
2019 Global change biology DOI: 10.1111/gcb.14845 335 views
6
Development of a method for comprehensive water quality forecasting and its application in Miyun reservoir of Beijing, China.
Zhang, Lei;Zou, Zhihong;Shan, Wei;
2017 Journal of environmental sciences (China) DOI: S1001-0742(16)30874-... 249 views
7
Can data from native mosquitoes support determining invasive species habitats? Modelling the climatic niche of Aedes japonicus japonicus (Diptera, Culicidae) in Germany.
Kerkow, Antje;Wieland, Ralf;Früh, Linus;Hölker, Franz;Jeschke, Jonathan M;Werner, Doreen;Kampen, Hel...
2019 parasitology research DOI: 10.1007/s00436-019-0... 304 views
8
Application of Machine Learning to Predict Grain Boundary Embrittlement in Metals by Combining Bonding-Breaking and Atomic Size Effects.
Wu, Xuebang;Wang, Yu-Xuan;He, Kan-Ni;Li, Xiangyan;Liu, Wei;Zhang, Yange;Xu, Yichun;Liu, Changsong;
2020 Materials (Basel, Switzerland) DOI: E179 228 views
9
Identifying Cancer Targets Based on Machine Learning Methods via Chou's 5-steps Rule and General Pseudo Components.
Liang, Ruirui;Xie, Jiayang;Zhang, Chi;Zhang, Mengying;Huang, Hai;Huo, Haizhong;Cao, Xin;Niu, Bing;
2019 Current topics in medicinal chemistry DOI: 10.2174/156802661966... 295 views
10
Establishment of Landslide Groundwater Level Prediction Model Based on GA-SVM and Influencing Factor Analysis.
Cao, Ying;Yin, Kunlong;Zhou, Chao;Ahmed, Bayes;
2020 sensors DOI: E845 257 views
11
Antigenic: An improved prediction model of protective antigens.
Rahman, M Saifur;Rahman, Md Khaledur;Saha, Sanjay;Kaykobad, M;Rahman, M Sohel;
2019 artificial intelligence in medicine DOI: S0933-3657(18)30274-... 249 views
12
Machine intelligence in peptide therapeutics: A next-generation tool for rapid disease screening.
Basith, Shaherin;Manavalan, Balachandran;Hwan Shin, Tae;Lee, Gwang;
2020 medicinal research reviews DOI: 10.1002/med.21658 288 views
13
Deep Learning Classification for Diabetic Foot Thermograms.
Cruz-Vega, Israel;Hernandez-Contreras, Daniel;Peregrina-Barreto, Hayde;Rangel-Magdaleno, Jose de Jes...
2020 sensors DOI: E1762 224 views
14
Employing Ray-Tracing and Least-Squares Support Vector Machines for Localisation
Benny Chitambira;Simon Armour;Stephen Wales;Mark Beach;Chitambira, Benny;Armour, Simon;Wales, Stephe...
2018 sensors DOI: 10.3390/s18114059 214 views
15
Fluorescent nanoprobe array based on carbon nanodots for qualitative and quantitative determination of biogenic polyamine.
Du, Na;Dou, Zhi;Wu, Yapei;Wu, Qiuhua;Zhang, Guolin;Liu, Xue;
2020 Mikrochimica acta DOI: 10.1007/s00604-020-0... 180 views
16
Prognostic Assessment of Cervical Cancer Patients by Clinical Staging and Surgical-Pathological Factor: A Support Vector Machine-Based Approach.
Xie, Lin;Chu, Ran;Wang, Kai;Zhang, Xi;Li, Jie;Zhao, Zhe;Yao, Shu;Wang, Zhiwen;Dong, Taotao;Yang, Xin...
2020 Frontiers in oncology DOI: 10.3389/fonc.2020.01... 198 views
17
WiGAN: A WiFi Based Gesture Recognition System with GANs.
Jiang, Dehao;Li, Mingqi;Xu, Chunling;
2020 sensors DOI: E4757 229 views
18
Evaluating the integrity of forested riparian buffers over a large area using LiDAR data and Google Earth Engine.
Zurqani, Hamdi A;Post, Christopher J;Mikhailova, Elena A;Cope, Michael P;Allen, Jeffery S;Lytle, Bla...
2020 Scientific reports DOI: 10.1038/s41598-020-6... 210 views
19
Bankruptcy Prediction and Stress Quantification Using Support Vector Machine: Evidence from Indian Banks
Santosh Kumar Shrivastav;P. Janaki Ramudu;Shrivastav, Santosh Kumar;Ramudu, P. Janaki;
2020 risks DOI: 10.3390/risks8020052 200 views
20
Support Vector Machine Optimized by Genetic Algorithm for Data Analysis of Near-Infrared Spectroscopy Sensors
Di Wang;Lin Xie;Simon X. Yang;Fengchun Tian;Wang, Di;Xie, Lin;Yang, Simon X.;Tian, Fengchun;
2018 sensors DOI: 10.3390/s18103222 231 views

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