Статті в журналах з теми "ENSEMBLE LEARNING MODELS"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся з топ-50 статей у журналах для дослідження на тему "ENSEMBLE LEARNING MODELS".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Переглядайте статті в журналах для різних дисциплін та оформлюйте правильно вашу бібліографію.
GURBYCH, A. "METHOD SUPER LEARNING FOR DETERMINATION OF MOLECULAR RELATIONSHIP." Herald of Khmelnytskyi National University. Technical sciences 307, no. 2 (May 2, 2022): 14–24. http://dx.doi.org/10.31891/2307-5732-2022-307-2-14-24.
Повний текст джерелаACOSTA-MENDOZA, NIUSVEL, ALICIA MORALES-REYES, HUGO JAIR ESCALANTE, and ANDRÉS GAGO-ALONSO. "LEARNING TO ASSEMBLE CLASSIFIERS VIA GENETIC PROGRAMMING." International Journal of Pattern Recognition and Artificial Intelligence 28, no. 07 (October 14, 2014): 1460005. http://dx.doi.org/10.1142/s0218001414600052.
Повний текст джерелаSiswoyo, Bambang, Zuraida Abal Abas, Ahmad Naim Che Pee, Rita Komalasari, and Nano Suryana. "Ensemble machine learning algorithm optimization of bankruptcy prediction of bank." IAES International Journal of Artificial Intelligence (IJ-AI) 11, no. 2 (June 1, 2022): 679. http://dx.doi.org/10.11591/ijai.v11.i2.pp679-686.
Повний текст джерелаHuang, Haifeng, Lei Huang, Rongjia Song, Feng Jiao, and Tao Ai. "Bus Single-Trip Time Prediction Based on Ensemble Learning." Computational Intelligence and Neuroscience 2022 (August 11, 2022): 1–24. http://dx.doi.org/10.1155/2022/6831167.
Повний текст джерелаRuaud, Albane, Niklas Pfister, Ruth E. Ley, and Nicholas D. Youngblut. "Interpreting tree ensemble machine learning models with endoR." PLOS Computational Biology 18, no. 12 (December 14, 2022): e1010714. http://dx.doi.org/10.1371/journal.pcbi.1010714.
Повний текст джерелаKhanna, Samarth, and Kabir Nagpal. "Sign Language Interpretation using Ensembled Deep Learning Models." ITM Web of Conferences 53 (2023): 01003. http://dx.doi.org/10.1051/itmconf/20235301003.
Повний текст джерелаAlazba, Amal, and Hamoud Aljamaan. "Software Defect Prediction Using Stacking Generalization of Optimized Tree-Based Ensembles." Applied Sciences 12, no. 9 (April 30, 2022): 4577. http://dx.doi.org/10.3390/app12094577.
Повний текст джерелаSonawane, Deepkanchan Nanasaheb. "Ensemble Learning For Increasing Accuracy Data Models." IOSR Journal of Computer Engineering 9, no. 1 (2013): 35–37. http://dx.doi.org/10.9790/0661-0913537.
Повний текст джерелаLi, Ziyue, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, and Dongsheng Li. "Towards Inference Efficient Deep Ensemble Learning." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 7 (June 26, 2023): 8711–19. http://dx.doi.org/10.1609/aaai.v37i7.26048.
Повний текст джерелаAbdillah, Abid Famasya, Cornelius Bagus Purnama Putra, Apriantoni Apriantoni, Safitri Juanita, and Diana Purwitasari. "Ensemble-based Methods for Multi-label Classification on Biomedical Question-Answer Data." Journal of Information Systems Engineering and Business Intelligence 8, no. 1 (April 26, 2022): 42–50. http://dx.doi.org/10.20473/jisebi.8.1.42-50.
Повний текст джерелаSaphal, Rohan, Balaraman Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, and Bharat Kaul. "ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 10 (April 3, 2020): 13905–6. http://dx.doi.org/10.1609/aaai.v34i10.7225.
Повний текст джерелаQutub, Aseel, Asmaa Al-Mehmadi, Munirah Al-Hssan, Ruyan Aljohani, and Hanan S. Alghamdi. "Prediction of Employee Attrition Using Machine Learning and Ensemble Methods." International Journal of Machine Learning and Computing 11, no. 2 (March 2021): 110–14. http://dx.doi.org/10.18178/ijmlc.2021.11.2.1022.
Повний текст джерелаQuartulli, Marco, Amaia Gil, Ane Miren Florez-Tapia, Pablo Cereijo, Elixabete Ayerbe, and Igor G. Olaizola. "Ensemble Surrogate Models for Fast LIB Performance Predictions." Energies 14, no. 14 (July 8, 2021): 4115. http://dx.doi.org/10.3390/en14144115.
Повний текст джерелаShen, Zhiqiang, Zhankui He, and Xiangyang Xue. "MEAL: Multi-Model Ensemble via Adversarial Learning." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 4886–93. http://dx.doi.org/10.1609/aaai.v33i01.33014886.
Повний текст джерелаStevens, Christophe AT, Alexander RM Lyons, Kanika I. Dharmayat, Alireza Mahani, Kausik K. Ray, Antonio J. Vallejo-Vaz, and Mansour TA Sharabiani. "Ensemble machine learning methods in screening electronic health records: A scoping review." DIGITAL HEALTH 9 (January 2023): 205520762311732. http://dx.doi.org/10.1177/20552076231173225.
Повний текст джерелаChang-You Zhang, Chang-You Zhang, Jing-Jing Wang Chang-You Zhang, Li-Xia Wan Jing-Jing Wang, and Ruo-Xue Yu Li-Xia Wan. "An Emotional Analysis Method Based on Multi Model Ensemble Learning." 電腦學刊 34, no. 1 (February 2023): 001–11. http://dx.doi.org/10.53106/199115992023023401001.
Повний текст джерелаDeore, Bhushan, Aditya Kyatham, and Shubham Narkhede. "A novel approach to ensemble MLP and random forest for network security." ITM Web of Conferences 32 (2020): 03003. http://dx.doi.org/10.1051/itmconf/20203203003.
Повний текст джерелаKapil, Divya. "Enhancing MNIST Digit Recognition with Ensemble Learning Techniques." Mathematical Statistician and Engineering Applications 70, no. 2 (February 26, 2021): 1362–71. http://dx.doi.org/10.17762/msea.v70i2.2328.
Повний текст джерелаWu, Li-Ya, and Sung-Shun Weng. "Ensemble Learning Models for Food Safety Risk Prediction." Sustainability 13, no. 21 (November 7, 2021): 12291. http://dx.doi.org/10.3390/su132112291.
Повний текст джерелаCampos, David, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, and Christian S. Jensen. "LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation." Proceedings of the ACM on Management of Data 1, no. 2 (June 13, 2023): 1–27. http://dx.doi.org/10.1145/3589316.
Повний текст джерелаChopra, Anjali, and Priyanka Bhilare. "Application of Ensemble Models in Credit Scoring Models." Business Perspectives and Research 6, no. 2 (April 17, 2018): 129–41. http://dx.doi.org/10.1177/2278533718765531.
Повний текст джерелаKim, Yong-Woon, Yung-Cheol Byun, and Addapalli V. N. Krishna. "Portrait Segmentation Using Ensemble of Heterogeneous Deep-Learning Models." Entropy 23, no. 2 (February 5, 2021): 197. http://dx.doi.org/10.3390/e23020197.
Повний текст джерелаKuo, Ming-Tse, Benny Wei-Yun Hsu, Yi Sheng Lin, Po-Chiung Fang, Hun-Ju Yu, Yu-Ting Hsiao, and Vincent S. Tseng. "Deep Learning Approach in Image Diagnosis of Pseudomonas Keratitis." Diagnostics 12, no. 12 (November 25, 2022): 2948. http://dx.doi.org/10.3390/diagnostics12122948.
Повний текст джерелаOner, Mahir, and Alp Ustundag. "Combining predictive base models using deep ensemble learning." Journal of Intelligent & Fuzzy Systems 39, no. 5 (November 19, 2020): 6657–68. http://dx.doi.org/10.3233/jifs-189126.
Повний текст джерелаNandhini, A. Sunitha, J. Balakrishna, R. Bala Manikandan, and S. Bharath Kumar. "Advanced flood severity detection using ensemble learning models." Journal of Physics: Conference Series 1916, no. 1 (May 1, 2021): 012048. http://dx.doi.org/10.1088/1742-6596/1916/1/012048.
Повний текст джерелаHu, Pingfan, Zeren Jiao, Zhuoran Zhang, and Qingsheng Wang. "Development of Solubility Prediction Models with Ensemble Learning." Industrial & Engineering Chemistry Research 60, no. 30 (July 21, 2021): 11627–35. http://dx.doi.org/10.1021/acs.iecr.1c02142.
Повний текст джерелаLee, Junho, Wu Wang, Fouzi Harrou, and Ying Sun. "Wind Power Prediction Using Ensemble Learning-Based Models." IEEE Access 8 (2020): 61517–27. http://dx.doi.org/10.1109/access.2020.2983234.
Повний текст джерелаAsadi, Nazanin, Abdolreza Mirzaei, and Ehsan Haghshenas. "Multiple Observations HMM Learning by Aggregating Ensemble Models." IEEE Transactions on Signal Processing 61, no. 22 (November 2013): 5767–76. http://dx.doi.org/10.1109/tsp.2013.2280179.
Повний текст джерелаLivieris, Ioannis E., Emmanuel Pintelas, Stavros Stavroyiannis, and Panagiotis Pintelas. "Ensemble Deep Learning Models for Forecasting Cryptocurrency Time-Series." Algorithms 13, no. 5 (May 10, 2020): 121. http://dx.doi.org/10.3390/a13050121.
Повний текст джерелаKarim, Zainoolabadien, and Terence L. van Zyl. "Deep/Transfer Learning with Feature Space Ensemble Networks (FeatSpaceEnsNets) and Average Ensemble Networks (AvgEnsNets) for Change Detection Using DInSAR Sentinel-1 and Optical Sentinel-2 Satellite Data Fusion." Remote Sensing 13, no. 21 (October 31, 2021): 4394. http://dx.doi.org/10.3390/rs13214394.
Повний текст джерелаWang, Yiren, Lijun Wu, Yingce Xia, Tao Qin, ChengXiang Zhai, and Tie-Yan Liu. "Transductive Ensemble Learning for Neural Machine Translation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 6291–98. http://dx.doi.org/10.1609/aaai.v34i04.6097.
Повний текст джерелаGagne, David John, Amy McGovern, and Ming Xue. "Machine Learning Enhancement of Storm-Scale Ensemble Probabilistic Quantitative Precipitation Forecasts." Weather and Forecasting 29, no. 4 (July 22, 2014): 1024–43. http://dx.doi.org/10.1175/waf-d-13-00108.1.
Повний текст джерелаJoshi, Gaurav. "Implementation of Isotension Ensemble in Deep Learning." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 9, no. 2 (December 30, 2018): 576–86. http://dx.doi.org/10.17762/turcomat.v9i2.13861.
Повний текст джерелаStrobach, Ehud, and Golan Bel. "Decadal Climate Predictions Using Sequential Learning Algorithms." Journal of Climate 29, no. 10 (May 6, 2016): 3787–809. http://dx.doi.org/10.1175/jcli-d-15-0648.1.
Повний текст джерелаNai-Arun, Nongyao, and Punnee Sittidech. "Ensemble Learning Model for Diabetes Classification." Advanced Materials Research 931-932 (May 2014): 1427–31. http://dx.doi.org/10.4028/www.scientific.net/amr.931-932.1427.
Повний текст джерелаNakata, Norio, and Tsuyoshi Siina. "Ensemble Learning of Multiple Models Using Deep Learning for Multiclass Classification of Ultrasound Images of Hepatic Masses." Bioengineering 10, no. 1 (January 5, 2023): 69. http://dx.doi.org/10.3390/bioengineering10010069.
Повний текст джерелаA, Prof Ajil, Tanvi Jain, T. M. Namratha, Vismaya S, and Thummaluru Ganga Lakshmi. "Detection of PCOS using Ensemble Models." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (May 31, 2023): 420–25. http://dx.doi.org/10.22214/ijraset.2023.51426.
Повний текст джерелаKurilová, Veronika, Szabolcs Rajcsányi, Zuzana Rábeková, Jarmila Pavlovičová, Miloš Oravec, and Nora Majtánová. "Detecting glaucoma from fundus images using ensemble learning." Journal of Electrical Engineering 74, no. 4 (August 1, 2023): 328–35. http://dx.doi.org/10.2478/jee-2023-0040.
Повний текст джерелаJaruskova, K., and S. Vallecorsa. "Ensemble Models for Calorimeter Simulations." Journal of Physics: Conference Series 2438, no. 1 (February 1, 2023): 012080. http://dx.doi.org/10.1088/1742-6596/2438/1/012080.
Повний текст джерелаHozhyi, O. P., O. O. Zhebko, I. O. Kalinina та T. A. Hannichenko. "Іntelligent classification system based on ensemble methods". System technologies 3, № 146 (11 травня 2023): 61–75. http://dx.doi.org/10.34185/1562-9945-3-146-2023-07.
Повний текст джерелаFarias, G., E. Fabregas, I. Martínez, J. Vega, S. Dormido-Canto, and H. Vargas. "Nuclear Fusion Pattern Recognition by Ensemble Learning." Complexity 2021 (June 29, 2021): 1–9. http://dx.doi.org/10.1155/2021/1207167.
Повний текст джерелаWhitaker, Tim, and Darrell Whitley. "Prune and Tune Ensembles: Low-Cost Ensemble Learning with Sparse Independent Subnetworks." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 8 (June 28, 2022): 8638–46. http://dx.doi.org/10.1609/aaai.v36i8.20842.
Повний текст джерелаSaleh, Hager, Sherif Mostafa, Lubna Abdelkareim Gabralla, Ahmad O. Aseeri, and Shaker El-Sappagh. "Enhanced Arabic Sentiment Analysis Using a Novel Stacking Ensemble of Hybrid and Deep Learning Models." Applied Sciences 12, no. 18 (September 7, 2022): 8967. http://dx.doi.org/10.3390/app12188967.
Повний текст джерелаBilotserkovskyy, V. V., S. G. Udovenko, and L. E. Chala. "Method of neural network recognition of falsified images." Bionics of Intelligence 2, no. 95 (December 2, 2020): 32–42. http://dx.doi.org/10.30837/bi.2020.2(95).05.
Повний текст джерелаThapa, Niraj, Zhipeng Liu, Addison Shaver, Albert Esterline, Balakrishna Gokaraju, and Kaushik Roy. "Secure Cyber Defense: An Analysis of Network Intrusion-Based Dataset CCD-IDSv1 with Machine Learning and Deep Learning Models." Electronics 10, no. 15 (July 21, 2021): 1747. http://dx.doi.org/10.3390/electronics10151747.
Повний текст джерелаNithin, V. Joe, and Prof S. Pallam Setty. "Prediction of Diabetes Using Ensemble Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 10 (October 31, 2022): 932–35. http://dx.doi.org/10.22214/ijraset.2022.47114.
Повний текст джерелаIskanderani, Ahmed I., Ibrahim M. Mehedi, Abdulah Jeza Aljohani, Mohammad Shorfuzzaman, Farzana Akther, Thangam Palaniswamy, Shaikh Abdul Latif, Abdul Latif, and Aftab Alam. "Artificial Intelligence and Medical Internet of Things Framework for Diagnosis of Coronavirus Suspected Cases." Journal of Healthcare Engineering 2021 (May 28, 2021): 1–7. http://dx.doi.org/10.1155/2021/3277988.
Повний текст джерелаRajaraman, Sivaramakrishnan, Feng Yang, Ghada Zamzmi, Zhiyun Xue, and Sameer K. Antani. "A Systematic Evaluation of Ensemble Learning Methods for Fine-Grained Semantic Segmentation of Tuberculosis-Consistent Lesions in Chest Radiographs." Bioengineering 9, no. 9 (August 24, 2022): 413. http://dx.doi.org/10.3390/bioengineering9090413.
Повний текст джерелаKo, Hyungjin, Jaewook Lee, Junyoung Byun, Bumho Son, and Saerom Park. "Loss-Driven Adversarial Ensemble Deep Learning for On-Line Time Series Analysis." Sustainability 11, no. 12 (June 25, 2019): 3489. http://dx.doi.org/10.3390/su11123489.
Повний текст джерелаKlaar, Anne Carolina Rodrigues, Stefano Frizzo Stefenon, Laio Oriel Seman, Viviana Cocco Mariani, and Leandro dos Santos Coelho. "Structure Optimization of Ensemble Learning Methods and Seasonal Decomposition Approaches to Energy Price Forecasting in Latin America: A Case Study about Mexico." Energies 16, no. 7 (March 31, 2023): 3184. http://dx.doi.org/10.3390/en16073184.
Повний текст джерела