Artykuły w czasopismach na temat „UCI MACHINE LEARNING”
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Aprianto, Kasiful. "Heart Disease UCI Machine Learning". JITCE (Journal of Information Technology and Computer Engineering) 5, nr 02 (30.09.2021): 70–74. http://dx.doi.org/10.25077/jitce.5.02.70-74.2021.
Pełny tekst źródłaMohammad, Ahmad Saeed, Musab T. S. Al-Kaltakchi, Jabir Alshehabi Al-Ani i Jonathon A. Chambers. "Comprehensive Evaluations of Student Performance Estimation via Machine Learning". Mathematics 11, nr 14 (18.07.2023): 3153. http://dx.doi.org/10.3390/math11143153.
Pełny tekst źródłaTURAN, SELIN CEREN, i MEHMET ALI CENGIZ. "ENSEMBLE LEARNING ALGORITHMS". Journal of Science and Arts 22, nr 2 (30.06.2022): 459–70. http://dx.doi.org/10.46939/j.sci.arts-22.2-a18.
Pełny tekst źródłaVranjković, Vuk S., Rastislav J. R. Struharik i Ladislav A. Novak. "Reconfigurable Hardware for Machine Learning Applications". Journal of Circuits, Systems and Computers 24, nr 05 (8.04.2015): 1550064. http://dx.doi.org/10.1142/s0218126615500644.
Pełny tekst źródłaKibria, Md Golam, i Mehmet Sevkli. "Application of Deep Learning for Credit Card Approval: A Comparison with Two Machine Learning Techniques". International Journal of Machine Learning and Computing 11, nr 4 (sierpień 2021): 286–90. http://dx.doi.org/10.18178/ijmlc.2021.11.4.1049.
Pełny tekst źródłaAnderies, Anderies, Jalaludin Ar Raniry William Tchin, Prambudi Herbowo Putro, Yudha Putra Darmawan i Alexander Agung Santoso Gunawan. "Prediction of Heart Disease UCI Dataset Using Machine Learning Algorithms". Engineering, MAthematics and Computer Science (EMACS) Journal 4, nr 3 (30.09.2022): 87–93. http://dx.doi.org/10.21512/emacsjournal.v4i3.8683.
Pełny tekst źródłaVerma, Raunak, Shashank Tandon i Mr Vinayak. "Heart Disease Prediction using Machine Learning". International Journal for Research in Applied Science and Engineering Technology 10, nr 5 (31.05.2022): 1872–76. http://dx.doi.org/10.22214/ijraset.2022.42687.
Pełny tekst źródłaHamed, Samer, Abdelwadood Mesleh i Abdullah Arabiyyat. "Breast Cancer Detection Using Machine Learning Algorithms". International Journal of Computer Science and Mobile Computing 10, nr 11 (30.11.2021): 4–11. http://dx.doi.org/10.47760/ijcsmc.2021.v10i11.002.
Pełny tekst źródłaAlnemari, Shouq, i Majid Alshammari. "Detecting Phishing Domains Using Machine Learning". Applied Sciences 13, nr 8 (7.04.2023): 4649. http://dx.doi.org/10.3390/app13084649.
Pełny tekst źródłaSuneetha Rani R, Gayathri B, Venkata Surya M, Jharani Asha Kiran P i Siva Krishna R. "Detecting counterfeit banknotes with machine learning". South Asian Journal of Engineering and Technology 12, nr 3 (11.07.2022): 146–51. http://dx.doi.org/10.26524/sajet.2022.12.40.
Pełny tekst źródłaDas, Shuvojit. "Human Activity Recognition using Machine Learning". International Journal for Research in Applied Science and Engineering Technology 10, nr 6 (30.06.2022): 4188–93. http://dx.doi.org/10.22214/ijraset.2022.44722.
Pełny tekst źródłaLi, Yibo, Chao Liu, Senyue Zhang, Wenan Tan i Yanyan Ding. "Reproducing Polynomial Kernel Extreme Learning Machine". Journal of Advanced Computational Intelligence and Intelligent Informatics 21, nr 5 (20.09.2017): 795–802. http://dx.doi.org/10.20965/jaciii.2017.p0795.
Pełny tekst źródłaMuliawan, Agung, Achmad Rizal i Sugondo Hadiyoso. "Heart Disease Prediction based on Physiological Parameters Using Ensemble Classifier and Parameter Optimization". Journal of Applied Engineering and Technological Science (JAETS) 5, nr 1 (10.12.2023): 258–67. http://dx.doi.org/10.37385/jaets.v5i1.2169.
Pełny tekst źródłaSandhiya, Prof Dr R. "Heat Disease Prediction using Machine Learning". International Journal for Research in Applied Science and Engineering Technology 9, nr VI (15.07.2021): 846–52. http://dx.doi.org/10.22214/ijraset.2021.36372.
Pełny tekst źródłaAhamad, Ghulab Nabi, Shafiullah, Hira Fatima, Imdadullah, S. M. Zakariya, Mohamed Abbas, Mohammed S. Alqahtani i Mohammed Usman. "Influence of Optimal Hyperparameters on the Performance of Machine Learning Algorithms for Predicting Heart Disease". Processes 11, nr 3 (1.03.2023): 734. http://dx.doi.org/10.3390/pr11030734.
Pełny tekst źródłaAl Ahdal, Ahmed, Manik Rakhra, Rahul R. Rajendran, Farrukh Arslan, Moaiad Ahmad Khder, Binit Patel, Balaji Ramkumar Rajagopal i Rituraj Jain. "Monitoring Cardiovascular Problems in Heart Patients Using Machine Learning". Journal of Healthcare Engineering 2023 (8.02.2023): 1–15. http://dx.doi.org/10.1155/2023/9738123.
Pełny tekst źródłaChoudhary, Esha. "Spam SMS Prediction Using Machine Learning". International Journal for Research in Applied Science and Engineering Technology 11, nr 5 (31.05.2023): 6868–76. http://dx.doi.org/10.22214/ijraset.2023.53235.
Pełny tekst źródłaAlaoui, Abdiya, i Zakaria Elberrichi. "Neuronal Communication Genetic Algorithm-Based Inductive Learning". Journal of Information Technology Research 13, nr 2 (kwiecień 2020): 141–54. http://dx.doi.org/10.4018/jitr.2020040109.
Pełny tekst źródłaZhang, Senyue, i Wenan Tan. "An Extreme Learning Machine Based on the Mixed Kernel Function of Triangular Kernel and Generalized Hermite Dirichlet Kernel". Discrete Dynamics in Nature and Society 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/7293278.
Pełny tekst źródłaMohanty, Ashima Sindhu, Krishna Chandra Patra i Priyadarsan Parida. "Toddler ASD Classification Using Machine Learning Techniques". International Journal of Online and Biomedical Engineering (iJOE) 17, nr 07 (2.07.2021): 156. http://dx.doi.org/10.3991/ijoe.v17i07.23497.
Pełny tekst źródłaGeldiev, Ertan Mustafa, Nayden Valkov Nenkov i Mariana Mateeva Petrova. "EXERCISE OF MACHINE LEARNING USING SOME PYTHON TOOLS AND TECHNIQUES". CBU International Conference Proceedings 6 (25.09.2018): 1062–70. http://dx.doi.org/10.12955/cbup.v6.1295.
Pełny tekst źródłaДюк, В. А., И. Г. Малыгин i В. И. Прицкер. "Vehicle recognition by silhouettes – a three-stage machine learning method in computer vision systems". MORSKIE INTELLEKTUAL`NYE TEHNOLOGII)</msg>, nr 2(56) (9.06.2022): 162–67. http://dx.doi.org/10.37220/mit.2022.56.2.022.
Pełny tekst źródłaSubbulakshmi, C. V., i S. N. Deepa. "Medical Dataset Classification: A Machine Learning Paradigm Integrating Particle Swarm Optimization with Extreme Learning Machine Classifier". Scientific World Journal 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/418060.
Pełny tekst źródłaBharti, Rohit, Aditya Khamparia, Mohammad Shabaz, Gaurav Dhiman, Sagar Pande i Parneet Singh. "Prediction of Heart Disease Using a Combination of Machine Learning and Deep Learning". Computational Intelligence and Neuroscience 2021 (1.07.2021): 1–11. http://dx.doi.org/10.1155/2021/8387680.
Pełny tekst źródłaKřen, Tomáš, Martin Pilát i Roman Neruda. "Automatic Creation of Machine Learning Workflows with Strongly Typed Genetic Programming". International Journal on Artificial Intelligence Tools 26, nr 05 (październik 2017): 1760020. http://dx.doi.org/10.1142/s021821301760020x.
Pełny tekst źródłaMajumder, Annwesha Banerjee, Somsubhra Gupta i Dharmpal Singh. "Analysis and Observations of Associated Factors of Cardiovascular Disease". Journal of Physics: Conference Series 2286, nr 1 (1.07.2022): 012024. http://dx.doi.org/10.1088/1742-6596/2286/1/012024.
Pełny tekst źródłaNagarjuna Reddy, G., B. Dhana Lakshmi, C. Jaya Sree, A. Lokesh i G. Madhuri. "AN EFFECTIVE MACHINE LEARNING APPRAOCH FOR CHRONIC KIDNEY DISEASE DETECTION". International Journal of Advanced Research 11, nr 04 (30.04.2023): 616–23. http://dx.doi.org/10.21474/ijar01/16701.
Pełny tekst źródłaChu, Yonghe, Hongfei Lin, Liang Yang, Yufeng Diao, Dongyu Zhang, Shaowu Zhang, Xiaochao Fan, Chen Shen i Deqin Yan. "Globality-Locality Preserving Maximum Variance Extreme Learning Machine". Complexity 2019 (2.05.2019): 1–18. http://dx.doi.org/10.1155/2019/1806314.
Pełny tekst źródłaAmelia, Yutri. "PERBANDINGAN METODE MACHINE LEARNING UNTUK MENDETEKSI PENYAKIT JANTUNG". IDEALIS : InDonEsiA journaL Information System 6, nr 2 (15.07.2023): 220–25. http://dx.doi.org/10.36080/idealis.v6i2.3043.
Pełny tekst źródłaSreenivasa, N., Sudesh Pawaar, Shaurya Sparsh i P. Ramesh Naidu. "Predicting the Kidney Diseases by Using Machine Learning Techniques". ITM Web of Conferences 57 (2023): 01011. http://dx.doi.org/10.1051/itmconf/20235701011.
Pełny tekst źródłaGowri, J., R. Kamini, G. Vaishnavi, S. Thasvin i C. Vaishna. "Heart Disease Prediction u sing Machine Learning". International Journal of Innovative Technology and Exploring Engineering 11, nr 8 (30.07.2022): 29–32. http://dx.doi.org/10.35940/ijitee.h9148.0711822.
Pełny tekst źródłaB, Kavyashree, i Rakesh M D. "Prediction of Cardiac Arrhythmia using Machine Learning". International Journal for Research in Applied Science and Engineering Technology 10, nr 9 (30.09.2022): 1698–706. http://dx.doi.org/10.22214/ijraset.2022.46900.
Pełny tekst źródłaRam Kumar, R. P., M. Sri Lakshmi, B. S. Ashwak, K. Rajeshwari i S. Md Zaid. "Thyroid Disease Classification using Machine Learning Algorithms". E3S Web of Conferences 391 (2023): 01141. http://dx.doi.org/10.1051/e3sconf/202339101141.
Pełny tekst źródłaKumar, Vikas, Vishal Kumar Yadav i Er Sandeep Dubey. "Rainfall Prediction using Machine Learning". International Journal for Research in Applied Science and Engineering Technology 10, nr 5 (31.05.2022): 2494–97. http://dx.doi.org/10.22214/ijraset.2022.42876.
Pełny tekst źródłaHabib, Pranav, Uday Sharma i Karman Singh Sethi. "Phishing Detection with Machine Learning". International Journal for Research in Applied Science and Engineering Technology 10, nr 12 (31.12.2022): 1609–15. http://dx.doi.org/10.22214/ijraset.2022.48276.
Pełny tekst źródłaSunita Chalageri, Prithvi Prakash, Rakshitha i Rachanaa. "Predictive Analysis of Air Pollution using Machine Learning". ACS Journal for Science and Engineering 2, nr 1 (1.03.2022): 16–32. http://dx.doi.org/10.34293/acsjse.v2i1.24.
Pełny tekst źródłaHossain, M. Murad, Md Rana Ahmed, M. Zahid Hasan, M. Sultana i K. Fatema. "Liable Characteristics Measure and Anticipate the Diabetes Disease Using Machine Learning Tools". European Journal of Statistics 3 (17.11.2022): 2. http://dx.doi.org/10.28924/ada/stat.3.2.
Pełny tekst źródłaKokol, Peter, Jan Jurman, Tajda Bogovič, Tadej Završnik, Jernej Završnik i Helena Blažun Vošner. "Supporting Real World Decision Making in Coronary Diseases Using Machine Learning". INQUIRY: The Journal of Health Care Organization, Provision, and Financing 58 (styczeń 2021): 004695802199733. http://dx.doi.org/10.1177/0046958021997338.
Pełny tekst źródłaLiu, Xiaobo, Guangjun Wang, Zhihua Cai i Harry Zhang. "A MultiBoosting Based Transfer Learning Algorithm". Journal of Advanced Computational Intelligence and Intelligent Informatics 19, nr 3 (20.05.2015): 381–88. http://dx.doi.org/10.20965/jaciii.2015.p0381.
Pełny tekst źródłaAyuningtyas, Puji, Rahmawati Rahmawati i Akhmad Miftahusalam. "Comparison of Machine Learning and Deep Learning Algorithms for Classification of Breast Cancer". Journal of Computer Engineering, Electronics and Information Technology 2, nr 2 (1.10.2023): 89–98. http://dx.doi.org/10.17509/coelite.v2i2.59717.
Pełny tekst źródłaLi, Dongtan. "Evaluating Various Machine Learning Techniques in Credit Risk Area". BCP Business & Management 38 (2.03.2023): 2836–44. http://dx.doi.org/10.54691/bcpbm.v38i.4198.
Pełny tekst źródłaV Mareeswari, Sunita Chalageri i Kavita K Patil. "Predicting Chronic Kidney Disease Using KNN Algorithm". ACS Journal for Science and Engineering 1, nr 2 (9.09.2021): 16–24. http://dx.doi.org/10.34293/acsjse.v1i2.10.
Pełny tekst źródłaZhang, Zeliang. "Big data analysis with artificial intelligence technology based on machine learning algorithm". Journal of Intelligent & Fuzzy Systems 39, nr 5 (19.11.2020): 6733–40. http://dx.doi.org/10.3233/jifs-191265.
Pełny tekst źródłaN C, Danushri. "Clinical Decision Making using Machine Learning". International Journal for Research in Applied Science and Engineering Technology 10, nr 7 (31.07.2022): 3061–64. http://dx.doi.org/10.22214/ijraset.2022.45625.
Pełny tekst źródłaJia, Xiao, Xiaolin Sun i Xingang Zhang. "Breast Cancer Identification Using Machine Learning". Mathematical Problems in Engineering 2022 (3.10.2022): 1–8. http://dx.doi.org/10.1155/2022/8122895.
Pełny tekst źródłaDIQI, MOHAMMAD, I. WAYAN ORDIYASA i MARSELINA ENDAH HISWATI. "Comparative Analysis of Kidney Disease Detection Using Machine Learning". MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) 15, nr 2 (23.10.2023): 58–62. http://dx.doi.org/10.18860/mat.v15i2.21468.
Pełny tekst źródłaDadheech, Pankaj, Vijay Kalmani, Sanwta Ram Dogiwal, Vijay Kumar Sharma, Ankit Kumar i Saroj Kumar Pandey. "Breast cancer prediction using supervised machine learning techniques". Journal of Information and Optimization Sciences 44, nr 3 (2023): 383–92. http://dx.doi.org/10.47974/jios-1348.
Pełny tekst źródłaM S*, Sruthi, Sushmitha Magudeswaren, Soniya Tamilarasu i Sushmitha Muralitharen. "Diabetes Prediction and Analysis using Machine Learning Methods". International Journal of Innovative Technology and Exploring Engineering 9, nr 6 (30.04.2020): 568–70. http://dx.doi.org/10.35940/ijitee.e2689.049620.
Pełny tekst źródłaGao, Hang, Xin-Wang Liu, Yu-Xing Peng i Song-Lei Jian. "Sample-Based Extreme Learning Machine with Missing Data". Mathematical Problems in Engineering 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/145156.
Pełny tekst źródłaCN, Lakshmi, Bindhudhree M, Jaya Poojary, Manish C i Shylaja B. "Heart Disease Prediction Using Machine Learning Algorithms". International Journal for Research in Applied Science and Engineering Technology 10, nr 7 (31.07.2022): 1444–51. http://dx.doi.org/10.22214/ijraset.2022.44895.
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