Artigos de revistas sobre o tema "Evaluation of extreme classifiers"
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Balasubramanian, Kishore, e N. P. Ananthamoorthy. "Analysis of hybrid statistical textural and intensity features to discriminate retinal abnormalities through classifiers". Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 233, n.º 5 (20 de março de 2019): 506–14. http://dx.doi.org/10.1177/0954411919835856.
Texto completo da fonteMichau, Gabriel, Yang Hu, Thomas Palmé e Olga Fink. "Feature learning for fault detection in high-dimensional condition monitoring signals". Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 234, n.º 1 (24 de agosto de 2019): 104–15. http://dx.doi.org/10.1177/1748006x19868335.
Texto completo da fonteRaza, Ali, Furqan Rustam, Hafeez Ur Rehman Siddiqui, Isabel de la Torre Diez, Begoña Garcia-Zapirain, Ernesto Lee e Imran Ashraf. "Predicting Genetic Disorder and Types of Disorder Using Chain Classifier Approach". Genes 14, n.º 1 (26 de dezembro de 2022): 71. http://dx.doi.org/10.3390/genes14010071.
Texto completo da fonteAfolabi, Hassan A., e Aburas A. Abdurazzag. "Statistical performance assessment of supervised machine learning algorithms for intrusion detection system". IAES International Journal of Artificial Intelligence (IJ-AI) 13, n.º 1 (1 de março de 2024): 266. http://dx.doi.org/10.11591/ijai.v13.i1.pp266-277.
Texto completo da fonteThiamchoo, Nantarika, e Pornchai Phukpattaranont. "Evaluation of feature projection techniques in object grasp classification using electromyogram signals from different limb positions". PeerJ Computer Science 8 (6 de maio de 2022): e949. http://dx.doi.org/10.7717/peerj-cs.949.
Texto completo da fonteKamaruddin, Ami Shamril, Mohd Fikri Hadrawi, Yap Bee Wah e Sharifah Aliman. "An evaluation of nature-inspired optimization algorithms and machine learning classifiers for electricity fraud prediction". Indonesian Journal of Electrical Engineering and Computer Science 32, n.º 1 (1 de outubro de 2023): 468. http://dx.doi.org/10.11591/ijeecs.v32.i1.pp468-477.
Texto completo da fonteTian, Zhang, Chen, Geng e Wang. "Selective Ensemble Based on Extreme Learning Machine for Sensor-Based Human Activity Recognition". Sensors 19, n.º 16 (8 de agosto de 2019): 3468. http://dx.doi.org/10.3390/s19163468.
Texto completo da fonteGuo, Weian, Yan Zhang, Ming Chen, Lei Wang e Qidi Wu. "Fuzzy performance evaluation of Evolutionary Algorithms based on extreme learning classifier". Neurocomputing 175 (janeiro de 2016): 371–82. http://dx.doi.org/10.1016/j.neucom.2015.10.069.
Texto completo da fonteAl-Gethami, Khalid M., Mousa T. Al-Akhras e Mohammed Alawairdhi. "Empirical Evaluation of Noise Influence on Supervised Machine Learning Algorithms Using Intrusion Detection Datasets". Security and Communication Networks 2021 (15 de janeiro de 2021): 1–28. http://dx.doi.org/10.1155/2021/8836057.
Texto completo da fonteOkwonu, Friday Zinzendoff, Nor Aishah Ahad, Nicholas Oluwole Ogini, Innocent Ejiro Okoloko e Wan Zakiyatussariroh Wan Husin. "COMPARATIVE PERFORMANCE EVALUATION OF EFFICIENCY FOR HIGH DIMENSIONAL CLASSIFICATION METHODS". Journal of Information and Communication Technology 21, No.3 (17 de julho de 2022): 437–64. http://dx.doi.org/10.32890/jict2022.21.3.6.
Texto completo da fonteTariq, Muhammad Arham, Allah Bux Sargano, Muhammad Aksam Iftikhar e Zulfiqar Habib. "Comparing Different Oversampling Methods in Predicting Multi-Class Educational Datasets Using Machine Learning Techniques". Cybernetics and Information Technologies 23, n.º 4 (1 de novembro de 2023): 199–212. http://dx.doi.org/10.2478/cait-2023-0044.
Texto completo da fonteJafarzadeh, Hamid, Masoud Mahdianpari, Eric Gill, Fariba Mohammadimanesh e Saeid Homayouni. "Bagging and Boosting Ensemble Classifiers for Classification of Multispectral, Hyperspectral and PolSAR Data: A Comparative Evaluation". Remote Sensing 13, n.º 21 (2 de novembro de 2021): 4405. http://dx.doi.org/10.3390/rs13214405.
Texto completo da fonteTomita, Katsuyuki, Akira Yamasaki, Ryohei Katou, Tomoyuki Ikeuchi, Hirokazu Touge, Hiroyuki Sano e Yuji Tohda. "Construction of a Diagnostic Algorithm for Diagnosis of Adult Asthma Using Machine Learning with Random Forest and XGBoost". Diagnostics 13, n.º 19 (27 de setembro de 2023): 3069. http://dx.doi.org/10.3390/diagnostics13193069.
Texto completo da fonteWalavalkar, Praniket, Ansh Dasrapuria, Meghna Sarda e Lynette Dmello. "A Token-based Approach to Detect Fraud in Ethereum Transactions". International Journal for Research in Applied Science and Engineering Technology 12, n.º 4 (30 de abril de 2024): 34–42. http://dx.doi.org/10.22214/ijraset.2024.59690.
Texto completo da fonteFAUST, OLIVER, U. RAJENDRA ACHARYA, LIM CHOO MIN e BERNHARD H. C. SPUTH. "AUTOMATIC IDENTIFICATION OF EPILEPTIC AND BACKGROUND EEG SIGNALS USING FREQUENCY DOMAIN PARAMETERS". International Journal of Neural Systems 20, n.º 02 (abril de 2010): 159–76. http://dx.doi.org/10.1142/s0129065710002334.
Texto completo da fonteKuntiyellannagari, Bhagyalaxmi, Bhoopalan Dwarakanath e Panuganti VijayaPal Reddy. "Hybrid model for brain tumor detection using convolution neural networks". Indonesian Journal of Electrical Engineering and Computer Science 33, n.º 3 (1 de março de 2024): 1775. http://dx.doi.org/10.11591/ijeecs.v33.i3.pp1775-1781.
Texto completo da fonteSakri, Sapiah, e Shakila Basheer. "Fusion Model for Classification Performance Optimization in a Highly Imbalance Breast Cancer Dataset". Electronics 12, n.º 5 (28 de fevereiro de 2023): 1168. http://dx.doi.org/10.3390/electronics12051168.
Texto completo da fonteDeng, Weiquan, Bo Ye, Jun Bao, Guoyong Huang e Jiande Wu. "Classification and Quantitative Evaluation of Eddy Current Based on Kernel-PCA and ELM for Defects in Metal Component". Metals 9, n.º 2 (1 de fevereiro de 2019): 155. http://dx.doi.org/10.3390/met9020155.
Texto completo da fonteBibi, Ruqia, Zahid Mehmood, Asmaa Munshi, Rehan Mehmood Yousaf e Syed Sohail Ahmed. "Deep features optimization based on a transfer learning, genetic algorithm, and extreme learning machine for robust content-based image retrieval". PLOS ONE 17, n.º 10 (3 de outubro de 2022): e0274764. http://dx.doi.org/10.1371/journal.pone.0274764.
Texto completo da fonteAl-Awadi, Jhan Yahya Rbat, Hadeel K. Aljobouri e Ali M. Hasan. "MRI Brain Scans Classification Using Extreme Learning Machine on LBP and GLCM". International Journal of Online and Biomedical Engineering (iJOE) 19, n.º 02 (16 de fevereiro de 2023): 134–49. http://dx.doi.org/10.3991/ijoe.v19i02.33987.
Texto completo da fonteLeng, Qian, Honggang Qi, Jun Miao, Wentao Zhu e Guiping Su. "One-Class Classification with Extreme Learning Machine". Mathematical Problems in Engineering 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/412957.
Texto completo da fonteR P, Prawin. "Performance Evaluation and Comparative Analysis of Several Machine Learning Classification Techniques Using a Data-driven Approach in Predicting Renal Failure". International Journal for Research in Applied Science and Engineering Technology 11, n.º 6 (30 de junho de 2023): 3522–30. http://dx.doi.org/10.22214/ijraset.2023.54343.
Texto completo da fonteK., Bhagyalaxmi, e B. Dwarakanath. "Hybrid model for detection of brain tumor using convolution neural networks". Computer Science and Information Technologies 5, n.º 1 (1 de março de 2024): 78–84. http://dx.doi.org/10.11591/csit.v5i1.p78-84.
Texto completo da fonteK., Bhagyalaxmi, e B. Dwarakanath. "Hybrid model for detection of brain tumor using convolution neural networks". Computer Science and Information Technologies 5, n.º 1 (1 de março de 2024): 78–84. http://dx.doi.org/10.11591/csit.v5i1.pp78-84.
Texto completo da fonteDing, Hu, Jiaming Na, Shangjing Jiang, Jie Zhu, Kai Liu, Yingchun Fu e Fayuan Li. "Evaluation of Three Different Machine Learning Methods for Object-Based Artificial Terrace Mapping—A Case Study of the Loess Plateau, China". Remote Sensing 13, n.º 5 (8 de março de 2021): 1021. http://dx.doi.org/10.3390/rs13051021.
Texto completo da fonteYotsawat, Wirot, Pakaket Wattuya e Anongnart Srivihok. "Improved credit scoring model using XGBoost with Bayesian hyper-parameter optimization". International Journal of Electrical and Computer Engineering (IJECE) 11, n.º 6 (1 de dezembro de 2021): 5477. http://dx.doi.org/10.11591/ijece.v11i6.pp5477-5487.
Texto completo da fonteHe, Qingshan, Jianping Yang, Hongju Chen, Jun Liu, Qin Ji, Yanxia Wang e Fan Tang. "Evaluation of Extreme Precipitation Based on Three Long-Term Gridded Products Over the Qinghai-Tibet Plateau". Remote Sensing 13, n.º 15 (30 de julho de 2021): 3010. http://dx.doi.org/10.3390/rs13153010.
Texto completo da fontePhotiadou, C. S., A. H. Weerts e B. J. J. M. van den Hurk. "Evaluation of two precipitation data sets for the Rhine River using streamflow simulations". Hydrology and Earth System Sciences 15, n.º 11 (8 de novembro de 2011): 3355–66. http://dx.doi.org/10.5194/hess-15-3355-2011.
Texto completo da fonteNida, Nudrat, Muhammad Haroon Yousaf, Aun Irtaza e Sergio A. Velastin. "Instructor Activity Recognition through Deep Spatiotemporal Features and Feedforward Extreme Learning Machines". Mathematical Problems in Engineering 2019 (30 de abril de 2019): 1–13. http://dx.doi.org/10.1155/2019/2474865.
Texto completo da fonteAlshammari, Khaznah, Shah Muhammad Hamdi e Soukaina Filali Boubrahimi. "Identifying Flare-indicative Photospheric Magnetic Field Parameters from Multivariate Time-series Data of Solar Active Regions". Astrophysical Journal Supplement Series 271, n.º 2 (19 de março de 2024): 39. http://dx.doi.org/10.3847/1538-4365/ad21e4.
Texto completo da fontePinki, Farhana Tazmim, Md Abdul Awal, Khondoker Mirazul Mumenin, Md Shahadat Hossain, Jabed Al Faysal, Rajib Rana, Latifah Almuqren, Amel Ksibi e Md Abdus Samad. "HGSOXGB: Hunger-Games-Search-Optimization-Based Framework to Predict the Need for ICU Admission for COVID-19 Patients Using eXtreme Gradient Boosting". Mathematics 11, n.º 18 (18 de setembro de 2023): 3960. http://dx.doi.org/10.3390/math11183960.
Texto completo da fonteGhorbani, Aida, Amir Daneshvar, Ladan Riazi e Reza Radfar. "Friend Recommender System for Social Networks Based on Stacking Technique and Evolutionary Algorithm". Complexity 2022 (31 de agosto de 2022): 1–11. http://dx.doi.org/10.1155/2022/5864545.
Texto completo da fonteHao, Yong Xing, Ya Mei Han, Hai Tao Cheng e Hua Ying Guo. "The Stability Evaluation of Radial Ring Rolling". Advanced Materials Research 482-484 (fevereiro de 2012): 1229–32. http://dx.doi.org/10.4028/www.scientific.net/amr.482-484.1229.
Texto completo da fonteQin, Chao, Yunfeng Zhang, Fangxun Bao, Caiming Zhang, Peide Liu e Peipei Liu. "XGBoost Optimized by Adaptive Particle Swarm Optimization for Credit Scoring". Mathematical Problems in Engineering 2021 (23 de março de 2021): 1–18. http://dx.doi.org/10.1155/2021/6655510.
Texto completo da fonteShahi, T. B., C. Sitaula e N. Paudel. "A Hybrid Feature Extraction Method for Nepali COVID-19-Related Tweets Classification". Computational Intelligence and Neuroscience 2022 (9 de março de 2022): 1–11. http://dx.doi.org/10.1155/2022/5681574.
Texto completo da fontePyko, N. S., E. D. Orandarenko e M. I. Bogachev. "Statistical Analysis of Local Extrema in Rough Sea Surfaces Based on Computer Simulation". Journal of the Russian Universities. Radioelectronics 26, n.º 5 (28 de novembro de 2023): 99–111. http://dx.doi.org/10.32603/1993-8985-2023-26-5-99-111.
Texto completo da fonteMolla, Shourav, F. M. Javed Mehedi Shamrat, Raisul Islam Rafi, Umme Umaima, Md Ariful Islam Arif, Shahed Hossain e Imran Mahmud. "A predictive analysis framework of heart disease using machine learning approaches". Bulletin of Electrical Engineering and Informatics 11, n.º 5 (1 de outubro de 2022): 2705–16. http://dx.doi.org/10.11591/eei.v11i5.3942.
Texto completo da fonteJayaraman, Senthil Kumar, Venkataraman Venkatachalam, Marwa M. Eid, Kannan Krithivasan, Sekar Kidambi Raju, Doaa Sami Khafaga, Faten Khalid Karim e Ayman Em Ahmed. "Enhancing Cyclone Intensity Prediction for Smart Cities Using a Deep-Learning Approach for Accurate Prediction". Atmosphere 14, n.º 10 (16 de outubro de 2023): 1567. http://dx.doi.org/10.3390/atmos14101567.
Texto completo da fonteKek, Tomaž, Primož Potočnik, Martin Misson, Zoran Bergant, Mario Sorgente, Edvard Govekar e Roman Šturm. "Characterization of Biocomposites and Glass Fiber Epoxy Composites Based on Acoustic Emission Signals, Deep Feature Extraction, and Machine Learning". Sensors 22, n.º 18 (13 de setembro de 2022): 6886. http://dx.doi.org/10.3390/s22186886.
Texto completo da fonteKorvink, Michael, John Martin e Michael Long. "Real-Time Identification of Patients Included in the CMS Bundled Payment Care Improvement (BPCI) Program". Infection Control & Hospital Epidemiology 41, S1 (outubro de 2020): s367—s368. http://dx.doi.org/10.1017/ice.2020.993.
Texto completo da fonteSampath, Akila, Uma S. Bhatt, Peter A. Bieniek, Robert Ziel, Alison York, Heidi Strader, Sharon Alden et al. "Evaluation of Seasonal Forecasts for the Fire Season in Interior Alaska". Weather and Forecasting 36, n.º 2 (abril de 2021): 601–13. http://dx.doi.org/10.1175/waf-d-19-0225.1.
Texto completo da fonteAlitalesi, Atefe, Hamid Jazayeriy e Javad Kazemitabar. "Wi-Fi fingerprinting-based floor detection using adaptive scaling and weighted autoencoder extreme learning machine". Computer Science and Information Technologies 3, n.º 2 (1 de julho de 2022): 104–15. http://dx.doi.org/10.11591/csit.v3i2.p104-115.
Texto completo da fonteAtefe Alitaleshi, Hamid Jazayeriy e Javad Kazemitabar. "Wi-Fi fingerprinting-based floor detection using adaptive scaling and weighted autoencoder extreme learning machine". Computer Science and Information Technologies 3, n.º 2 (1 de julho de 2022): 104–15. http://dx.doi.org/10.11591/csit.v3i2.pp104-115.
Texto completo da fonteHüllermeier, Eyke, Marcel Wever, Eneldo Loza Mencia, Johannes Fürnkranz e Michael Rapp. "A flexible class of dependence-aware multi-label loss functions". Machine Learning 111, n.º 2 (13 de janeiro de 2022): 713–37. http://dx.doi.org/10.1007/s10994-021-06107-2.
Texto completo da fonteKodati, Dr Sarangam, Dr M. Dhasaratham, Veldandi Srikanth e K. Meenendranath Reddy. "Classification of SARS Cov-2 and Non-SARS Cov-2 Pneumonia Using CNN". Journal of Prevention, Diagnosis and Management of Human Diseases, n.º 36 (23 de novembro de 2023): 32–40. http://dx.doi.org/10.55529/jpdmhd.36.32.40.
Texto completo da fonteSugiharti, Endang, Riza Arifudin, Dian Tri Wiyanti e Arief Broto Susilo. "Integration of convolutional neural network and extreme gradient boosting for breast cancer detection". Bulletin of Electrical Engineering and Informatics 11, n.º 2 (1 de abril de 2022): 803–13. http://dx.doi.org/10.11591/eei.v11i2.3562.
Texto completo da fonteOmar Franklin Molina, Zeila Coelho Santos, Bruno Ricardo Huber Simião, Rógerio Ferreira Marchezan, Natalia de Paula e Silva e Karla Regina Gama. "A comprehensive method to classify subgroups of bruxers in temporomandibular disorders (TMDs) individuals: frequency, clinical and psychological implications". RSBO 10, n.º 1 (28 de março de 2014): 11–9. http://dx.doi.org/10.21726/rsbo.v10i1.888.
Texto completo da fonteM, Duraipandian, e Vinothkanna R. "Smart Digital Mammographic Screening System for Bulk Image Processing". December 2020 2, n.º 4 (22 de fevereiro de 2021): 156–61. http://dx.doi.org/10.36548/jeea.2020.4.003.
Texto completo da fonteAcosta-Coll, Melisa, Abel Morales, Ronald Zamora-Musa e Shariq Aziz Butt. "Cross-Evaluation of Reflectivity from NEXRAD and Global Precipitation Mission during Extreme Weather Events". Sensors 22, n.º 15 (2 de agosto de 2022): 5773. http://dx.doi.org/10.3390/s22155773.
Texto completo da fonteT R, Prajwala. "NON-PARAMETRIC RANDOMIZED TREE CLASSIFIER FOR DETECTION OF AUTISM DISORDER IN TODDLERS". International Journal of Research -GRANTHAALAYAH 9, n.º 10 (3 de novembro de 2021): 205–10. http://dx.doi.org/10.29121/granthaalayah.v9.i10.2021.4341.
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