Artykuły w czasopismach na temat „Evaluation of extreme classifiers”
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Balasubramanian, Kishore, i 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, nr 5 (20.03.2019): 506–14. http://dx.doi.org/10.1177/0954411919835856.
Pełny tekst źródłaMichau, Gabriel, Yang Hu, Thomas Palmé i 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, nr 1 (24.08.2019): 104–15. http://dx.doi.org/10.1177/1748006x19868335.
Pełny tekst źródłaRaza, Ali, Furqan Rustam, Hafeez Ur Rehman Siddiqui, Isabel de la Torre Diez, Begoña Garcia-Zapirain, Ernesto Lee i Imran Ashraf. "Predicting Genetic Disorder and Types of Disorder Using Chain Classifier Approach". Genes 14, nr 1 (26.12.2022): 71. http://dx.doi.org/10.3390/genes14010071.
Pełny tekst źródłaAfolabi, Hassan A., i Aburas A. Abdurazzag. "Statistical performance assessment of supervised machine learning algorithms for intrusion detection system". IAES International Journal of Artificial Intelligence (IJ-AI) 13, nr 1 (1.03.2024): 266. http://dx.doi.org/10.11591/ijai.v13.i1.pp266-277.
Pełny tekst źródłaThiamchoo, Nantarika, i Pornchai Phukpattaranont. "Evaluation of feature projection techniques in object grasp classification using electromyogram signals from different limb positions". PeerJ Computer Science 8 (6.05.2022): e949. http://dx.doi.org/10.7717/peerj-cs.949.
Pełny tekst źródłaKamaruddin, Ami Shamril, Mohd Fikri Hadrawi, Yap Bee Wah i 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, nr 1 (1.10.2023): 468. http://dx.doi.org/10.11591/ijeecs.v32.i1.pp468-477.
Pełny tekst źródłaTian, Zhang, Chen, Geng i Wang. "Selective Ensemble Based on Extreme Learning Machine for Sensor-Based Human Activity Recognition". Sensors 19, nr 16 (8.08.2019): 3468. http://dx.doi.org/10.3390/s19163468.
Pełny tekst źródłaGuo, Weian, Yan Zhang, Ming Chen, Lei Wang i Qidi Wu. "Fuzzy performance evaluation of Evolutionary Algorithms based on extreme learning classifier". Neurocomputing 175 (styczeń 2016): 371–82. http://dx.doi.org/10.1016/j.neucom.2015.10.069.
Pełny tekst źródłaAl-Gethami, Khalid M., Mousa T. Al-Akhras i Mohammed Alawairdhi. "Empirical Evaluation of Noise Influence on Supervised Machine Learning Algorithms Using Intrusion Detection Datasets". Security and Communication Networks 2021 (15.01.2021): 1–28. http://dx.doi.org/10.1155/2021/8836057.
Pełny tekst źródłaOkwonu, Friday Zinzendoff, Nor Aishah Ahad, Nicholas Oluwole Ogini, Innocent Ejiro Okoloko i Wan Zakiyatussariroh Wan Husin. "COMPARATIVE PERFORMANCE EVALUATION OF EFFICIENCY FOR HIGH DIMENSIONAL CLASSIFICATION METHODS". Journal of Information and Communication Technology 21, No.3 (17.07.2022): 437–64. http://dx.doi.org/10.32890/jict2022.21.3.6.
Pełny tekst źródłaTariq, Muhammad Arham, Allah Bux Sargano, Muhammad Aksam Iftikhar i Zulfiqar Habib. "Comparing Different Oversampling Methods in Predicting Multi-Class Educational Datasets Using Machine Learning Techniques". Cybernetics and Information Technologies 23, nr 4 (1.11.2023): 199–212. http://dx.doi.org/10.2478/cait-2023-0044.
Pełny tekst źródłaJafarzadeh, Hamid, Masoud Mahdianpari, Eric Gill, Fariba Mohammadimanesh i Saeid Homayouni. "Bagging and Boosting Ensemble Classifiers for Classification of Multispectral, Hyperspectral and PolSAR Data: A Comparative Evaluation". Remote Sensing 13, nr 21 (2.11.2021): 4405. http://dx.doi.org/10.3390/rs13214405.
Pełny tekst źródłaTomita, Katsuyuki, Akira Yamasaki, Ryohei Katou, Tomoyuki Ikeuchi, Hirokazu Touge, Hiroyuki Sano i Yuji Tohda. "Construction of a Diagnostic Algorithm for Diagnosis of Adult Asthma Using Machine Learning with Random Forest and XGBoost". Diagnostics 13, nr 19 (27.09.2023): 3069. http://dx.doi.org/10.3390/diagnostics13193069.
Pełny tekst źródłaWalavalkar, Praniket, Ansh Dasrapuria, Meghna Sarda i Lynette Dmello. "A Token-based Approach to Detect Fraud in Ethereum Transactions". International Journal for Research in Applied Science and Engineering Technology 12, nr 4 (30.04.2024): 34–42. http://dx.doi.org/10.22214/ijraset.2024.59690.
Pełny tekst źródłaFAUST, OLIVER, U. RAJENDRA ACHARYA, LIM CHOO MIN i BERNHARD H. C. SPUTH. "AUTOMATIC IDENTIFICATION OF EPILEPTIC AND BACKGROUND EEG SIGNALS USING FREQUENCY DOMAIN PARAMETERS". International Journal of Neural Systems 20, nr 02 (kwiecień 2010): 159–76. http://dx.doi.org/10.1142/s0129065710002334.
Pełny tekst źródłaKuntiyellannagari, Bhagyalaxmi, Bhoopalan Dwarakanath i Panuganti VijayaPal Reddy. "Hybrid model for brain tumor detection using convolution neural networks". Indonesian Journal of Electrical Engineering and Computer Science 33, nr 3 (1.03.2024): 1775. http://dx.doi.org/10.11591/ijeecs.v33.i3.pp1775-1781.
Pełny tekst źródłaSakri, Sapiah, i Shakila Basheer. "Fusion Model for Classification Performance Optimization in a Highly Imbalance Breast Cancer Dataset". Electronics 12, nr 5 (28.02.2023): 1168. http://dx.doi.org/10.3390/electronics12051168.
Pełny tekst źródłaDeng, Weiquan, Bo Ye, Jun Bao, Guoyong Huang i Jiande Wu. "Classification and Quantitative Evaluation of Eddy Current Based on Kernel-PCA and ELM for Defects in Metal Component". Metals 9, nr 2 (1.02.2019): 155. http://dx.doi.org/10.3390/met9020155.
Pełny tekst źródłaBibi, Ruqia, Zahid Mehmood, Asmaa Munshi, Rehan Mehmood Yousaf i 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, nr 10 (3.10.2022): e0274764. http://dx.doi.org/10.1371/journal.pone.0274764.
Pełny tekst źródłaAl-Awadi, Jhan Yahya Rbat, Hadeel K. Aljobouri i Ali M. Hasan. "MRI Brain Scans Classification Using Extreme Learning Machine on LBP and GLCM". International Journal of Online and Biomedical Engineering (iJOE) 19, nr 02 (16.02.2023): 134–49. http://dx.doi.org/10.3991/ijoe.v19i02.33987.
Pełny tekst źródłaLeng, Qian, Honggang Qi, Jun Miao, Wentao Zhu i 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.
Pełny tekst źródłaR 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, nr 6 (30.06.2023): 3522–30. http://dx.doi.org/10.22214/ijraset.2023.54343.
Pełny tekst źródłaK., Bhagyalaxmi, i B. Dwarakanath. "Hybrid model for detection of brain tumor using convolution neural networks". Computer Science and Information Technologies 5, nr 1 (1.03.2024): 78–84. http://dx.doi.org/10.11591/csit.v5i1.p78-84.
Pełny tekst źródłaK., Bhagyalaxmi, i B. Dwarakanath. "Hybrid model for detection of brain tumor using convolution neural networks". Computer Science and Information Technologies 5, nr 1 (1.03.2024): 78–84. http://dx.doi.org/10.11591/csit.v5i1.pp78-84.
Pełny tekst źródłaDing, Hu, Jiaming Na, Shangjing Jiang, Jie Zhu, Kai Liu, Yingchun Fu i 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, nr 5 (8.03.2021): 1021. http://dx.doi.org/10.3390/rs13051021.
Pełny tekst źródłaYotsawat, Wirot, Pakaket Wattuya i Anongnart Srivihok. "Improved credit scoring model using XGBoost with Bayesian hyper-parameter optimization". International Journal of Electrical and Computer Engineering (IJECE) 11, nr 6 (1.12.2021): 5477. http://dx.doi.org/10.11591/ijece.v11i6.pp5477-5487.
Pełny tekst źródłaHe, Qingshan, Jianping Yang, Hongju Chen, Jun Liu, Qin Ji, Yanxia Wang i Fan Tang. "Evaluation of Extreme Precipitation Based on Three Long-Term Gridded Products Over the Qinghai-Tibet Plateau". Remote Sensing 13, nr 15 (30.07.2021): 3010. http://dx.doi.org/10.3390/rs13153010.
Pełny tekst źródłaPhotiadou, C. S., A. H. Weerts i 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, nr 11 (8.11.2011): 3355–66. http://dx.doi.org/10.5194/hess-15-3355-2011.
Pełny tekst źródłaNida, Nudrat, Muhammad Haroon Yousaf, Aun Irtaza i Sergio A. Velastin. "Instructor Activity Recognition through Deep Spatiotemporal Features and Feedforward Extreme Learning Machines". Mathematical Problems in Engineering 2019 (30.04.2019): 1–13. http://dx.doi.org/10.1155/2019/2474865.
Pełny tekst źródłaAlshammari, Khaznah, Shah Muhammad Hamdi i Soukaina Filali Boubrahimi. "Identifying Flare-indicative Photospheric Magnetic Field Parameters from Multivariate Time-series Data of Solar Active Regions". Astrophysical Journal Supplement Series 271, nr 2 (19.03.2024): 39. http://dx.doi.org/10.3847/1538-4365/ad21e4.
Pełny tekst źródłaPinki, Farhana Tazmim, Md Abdul Awal, Khondoker Mirazul Mumenin, Md Shahadat Hossain, Jabed Al Faysal, Rajib Rana, Latifah Almuqren, Amel Ksibi i 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, nr 18 (18.09.2023): 3960. http://dx.doi.org/10.3390/math11183960.
Pełny tekst źródłaGhorbani, Aida, Amir Daneshvar, Ladan Riazi i Reza Radfar. "Friend Recommender System for Social Networks Based on Stacking Technique and Evolutionary Algorithm". Complexity 2022 (31.08.2022): 1–11. http://dx.doi.org/10.1155/2022/5864545.
Pełny tekst źródłaHao, Yong Xing, Ya Mei Han, Hai Tao Cheng i Hua Ying Guo. "The Stability Evaluation of Radial Ring Rolling". Advanced Materials Research 482-484 (luty 2012): 1229–32. http://dx.doi.org/10.4028/www.scientific.net/amr.482-484.1229.
Pełny tekst źródłaQin, Chao, Yunfeng Zhang, Fangxun Bao, Caiming Zhang, Peide Liu i Peipei Liu. "XGBoost Optimized by Adaptive Particle Swarm Optimization for Credit Scoring". Mathematical Problems in Engineering 2021 (23.03.2021): 1–18. http://dx.doi.org/10.1155/2021/6655510.
Pełny tekst źródłaShahi, T. B., C. Sitaula i N. Paudel. "A Hybrid Feature Extraction Method for Nepali COVID-19-Related Tweets Classification". Computational Intelligence and Neuroscience 2022 (9.03.2022): 1–11. http://dx.doi.org/10.1155/2022/5681574.
Pełny tekst źródłaPyko, N. S., E. D. Orandarenko i M. I. Bogachev. "Statistical Analysis of Local Extrema in Rough Sea Surfaces Based on Computer Simulation". Journal of the Russian Universities. Radioelectronics 26, nr 5 (28.11.2023): 99–111. http://dx.doi.org/10.32603/1993-8985-2023-26-5-99-111.
Pełny tekst źródłaMolla, Shourav, F. M. Javed Mehedi Shamrat, Raisul Islam Rafi, Umme Umaima, Md Ariful Islam Arif, Shahed Hossain i Imran Mahmud. "A predictive analysis framework of heart disease using machine learning approaches". Bulletin of Electrical Engineering and Informatics 11, nr 5 (1.10.2022): 2705–16. http://dx.doi.org/10.11591/eei.v11i5.3942.
Pełny tekst źródłaJayaraman, Senthil Kumar, Venkataraman Venkatachalam, Marwa M. Eid, Kannan Krithivasan, Sekar Kidambi Raju, Doaa Sami Khafaga, Faten Khalid Karim i Ayman Em Ahmed. "Enhancing Cyclone Intensity Prediction for Smart Cities Using a Deep-Learning Approach for Accurate Prediction". Atmosphere 14, nr 10 (16.10.2023): 1567. http://dx.doi.org/10.3390/atmos14101567.
Pełny tekst źródłaKek, Tomaž, Primož Potočnik, Martin Misson, Zoran Bergant, Mario Sorgente, Edvard Govekar i Roman Šturm. "Characterization of Biocomposites and Glass Fiber Epoxy Composites Based on Acoustic Emission Signals, Deep Feature Extraction, and Machine Learning". Sensors 22, nr 18 (13.09.2022): 6886. http://dx.doi.org/10.3390/s22186886.
Pełny tekst źródłaKorvink, Michael, John Martin i Michael Long. "Real-Time Identification of Patients Included in the CMS Bundled Payment Care Improvement (BPCI) Program". Infection Control & Hospital Epidemiology 41, S1 (październik 2020): s367—s368. http://dx.doi.org/10.1017/ice.2020.993.
Pełny tekst źródłaSampath, Akila, Uma S. Bhatt, Peter A. Bieniek, Robert Ziel, Alison York, Heidi Strader, Sharon Alden i in. "Evaluation of Seasonal Forecasts for the Fire Season in Interior Alaska". Weather and Forecasting 36, nr 2 (kwiecień 2021): 601–13. http://dx.doi.org/10.1175/waf-d-19-0225.1.
Pełny tekst źródłaAlitalesi, Atefe, Hamid Jazayeriy i Javad Kazemitabar. "Wi-Fi fingerprinting-based floor detection using adaptive scaling and weighted autoencoder extreme learning machine". Computer Science and Information Technologies 3, nr 2 (1.07.2022): 104–15. http://dx.doi.org/10.11591/csit.v3i2.p104-115.
Pełny tekst źródłaAtefe Alitaleshi, Hamid Jazayeriy i Javad Kazemitabar. "Wi-Fi fingerprinting-based floor detection using adaptive scaling and weighted autoencoder extreme learning machine". Computer Science and Information Technologies 3, nr 2 (1.07.2022): 104–15. http://dx.doi.org/10.11591/csit.v3i2.pp104-115.
Pełny tekst źródłaHüllermeier, Eyke, Marcel Wever, Eneldo Loza Mencia, Johannes Fürnkranz i Michael Rapp. "A flexible class of dependence-aware multi-label loss functions". Machine Learning 111, nr 2 (13.01.2022): 713–37. http://dx.doi.org/10.1007/s10994-021-06107-2.
Pełny tekst źródłaKodati, Dr Sarangam, Dr M. Dhasaratham, Veldandi Srikanth i 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, nr 36 (23.11.2023): 32–40. http://dx.doi.org/10.55529/jpdmhd.36.32.40.
Pełny tekst źródłaSugiharti, Endang, Riza Arifudin, Dian Tri Wiyanti i Arief Broto Susilo. "Integration of convolutional neural network and extreme gradient boosting for breast cancer detection". Bulletin of Electrical Engineering and Informatics 11, nr 2 (1.04.2022): 803–13. http://dx.doi.org/10.11591/eei.v11i2.3562.
Pełny tekst źródłaOmar Franklin Molina, Zeila Coelho Santos, Bruno Ricardo Huber Simião, Rógerio Ferreira Marchezan, Natalia de Paula e Silva i Karla Regina Gama. "A comprehensive method to classify subgroups of bruxers in temporomandibular disorders (TMDs) individuals: frequency, clinical and psychological implications". RSBO 10, nr 1 (28.03.2014): 11–9. http://dx.doi.org/10.21726/rsbo.v10i1.888.
Pełny tekst źródłaM, Duraipandian, i Vinothkanna R. "Smart Digital Mammographic Screening System for Bulk Image Processing". December 2020 2, nr 4 (22.02.2021): 156–61. http://dx.doi.org/10.36548/jeea.2020.4.003.
Pełny tekst źródłaAcosta-Coll, Melisa, Abel Morales, Ronald Zamora-Musa i Shariq Aziz Butt. "Cross-Evaluation of Reflectivity from NEXRAD and Global Precipitation Mission during Extreme Weather Events". Sensors 22, nr 15 (2.08.2022): 5773. http://dx.doi.org/10.3390/s22155773.
Pełny tekst źródłaT R, Prajwala. "NON-PARAMETRIC RANDOMIZED TREE CLASSIFIER FOR DETECTION OF AUTISM DISORDER IN TODDLERS". International Journal of Research -GRANTHAALAYAH 9, nr 10 (3.11.2021): 205–10. http://dx.doi.org/10.29121/granthaalayah.v9.i10.2021.4341.
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