Artigos de revistas sobre o tema "Online ensemble regression"
Crie uma referência precisa em APA, MLA, Chicago, Harvard, e outros estilos
Veja os 50 melhores artigos de revistas para estudos sobre o assunto "Online ensemble regression".
Ao lado de cada fonte na lista de referências, há um botão "Adicionar à bibliografia". Clique e geraremos automaticamente a citação bibliográfica do trabalho escolhido no estilo de citação de que você precisa: APA, MLA, Harvard, Chicago, Vancouver, etc.
Você também pode baixar o texto completo da publicação científica em formato .pdf e ler o resumo do trabalho online se estiver presente nos metadados.
Veja os artigos de revistas das mais diversas áreas científicas e compile uma bibliografia correta.
Liu, Yang, Bo He, Diya Dong, Yue Shen, Tianhong Yan, Rui Nian e Amaury Lendasse. "Particle Swarm Optimization Based Selective Ensemble of Online Sequential Extreme Learning Machine". Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/504120.
Texto completo da fonteRahmawati, Eka, e Candra Agustina. "Implementasi Teknik Bagging untuk Peningkatan Kinerja J48 dan Logistic Regression dalam Prediksi Minat Pembelian Online". Jurnal Teknologi Informasi dan Terapan 7, n.º 1 (9 de junho de 2020): 16–19. http://dx.doi.org/10.25047/jtit.v7i1.123.
Texto completo da fonteHansrajh, Arvin, Timothy T. Adeliyi e Jeanette Wing. "Detection of Online Fake News Using Blending Ensemble Learning". Scientific Programming 2021 (28 de julho de 2021): 1–10. http://dx.doi.org/10.1155/2021/3434458.
Texto completo da fonteZhang, Junbo, C. Y. Chung e Lin Guan. "Noise Effect and Noise-Assisted Ensemble Regression in Power System Online Sensitivity Identification". IEEE Transactions on Industrial Informatics 13, n.º 5 (outubro de 2017): 2302–10. http://dx.doi.org/10.1109/tii.2017.2671351.
Texto completo da fonteAzeez, Nureni Ayofe, e Emad Fadhal. "Classification of Virtual Harassment on Social Networks Using Ensemble Learning Techniques". Applied Sciences 13, n.º 7 (4 de abril de 2023): 4570. http://dx.doi.org/10.3390/app13074570.
Texto completo da fonteBodyanskiy, Ye V., Kh V. Lipianina-Honcharenko e A. O. Sachenko. "ENSEMBLE OF ADAPTIVE PREDICTORS FOR MULTIVARIATE NONSTATIONARY SEQUENCES AND ITS ONLINE LEARNING". Radio Electronics, Computer Science, Control, n.º 4 (2 de janeiro de 2024): 91. http://dx.doi.org/10.15588/1607-3274-2023-4-9.
Texto completo da fonteR, Chitra A., e Dr Arjun B. C. "Performance Analysis of Regression Algorithms for Used Car Price Prediction: KNIME Analytics Platform". International Journal for Research in Applied Science and Engineering Technology 11, n.º 2 (28 de fevereiro de 2023): 1324–31. http://dx.doi.org/10.22214/ijraset.2023.49180.
Texto completo da fonteSetiawan, Yahya, Jondri Jondri e Widi Astuti. "Twitter Sentiment Analysis on Online Transportation in Indonesia Using Ensemble Stacking". JURNAL MEDIA INFORMATIKA BUDIDARMA 6, n.º 3 (25 de julho de 2022): 1452. http://dx.doi.org/10.30865/mib.v6i3.4359.
Texto completo da fontede Almeida, Ricardo, Yee Mey Goh, Radmehr Monfared, Maria Teresinha Arns Steiner e Andrew West. "An ensemble based on neural networks with random weights for online data stream regression". Soft Computing 24, n.º 13 (9 de novembro de 2019): 9835–55. http://dx.doi.org/10.1007/s00500-019-04499-x.
Texto completo da fonteKothapalli. Mandakini, Et al. "Ensemble Learning for fraud detection in Online Payment System". International Journal on Recent and Innovation Trends in Computing and Communication 11, n.º 10 (2 de novembro de 2023): 1070–76. http://dx.doi.org/10.17762/ijritcc.v11i10.8626.
Texto completo da fontePutri, Anastasia Kinanti, e Hari Suparwito. "Uji Algoritma Stacking Ensemble Classifier pada Kemampuan Adaptasi Mahasiswa Baru dalam Pembelajaran Online". KONSTELASI: Konvergensi Teknologi dan Sistem Informasi 3, n.º 1 (7 de junho de 2023): 1–12. http://dx.doi.org/10.24002/konstelasi.v3i1.7009.
Texto completo da fonteZheng, Shuihua, Kaixin Liu, Yili Xu, Hao Chen, Xuelei Zhang e Yi Liu. "Robust Soft Sensor with Deep Kernel Learning for Quality Prediction in Rubber Mixing Processes". Sensors 20, n.º 3 (27 de janeiro de 2020): 695. http://dx.doi.org/10.3390/s20030695.
Texto completo da fonteLalloué, Benoît, Jean-Marie Monnez e Eliane Albuisson. "Construction and Update of an Online Ensemble Score Involving Linear Discriminant Analysis and Logistic Regression". Applied Mathematics 13, n.º 02 (2022): 228–42. http://dx.doi.org/10.4236/am.2022.132018.
Texto completo da fonteUdayana, I. Putu Agus Eka Darma, Ni Putu Eka Kherismawati e I. Gede Iwan Sudipa. "Detection of Student Drowsiness Using Ensemble Regression Trees in Online Learning During a COVID-19 Pandemic". Telematika 19, n.º 2 (30 de junho de 2022): 229. http://dx.doi.org/10.31315/telematika.v19i2.7044.
Texto completo da fonteLee, Sangjae, e Joon Yeon Choeh. "Exploring the influence of online word-of-mouth on hotel booking prices: insights from regression and ensemble-based machine learning methods". Data Science in Finance and Economics 4, n.º 1 (2024): 65–82. http://dx.doi.org/10.3934/dsfe.2024003.
Texto completo da fonteKadam, Aishwarya. "WEB MINING TO DETECT ONLINE SPREAD OF TERRORISM". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, n.º 04 (21 de abril de 2024): 1–5. http://dx.doi.org/10.55041/ijsrem31243.
Texto completo da fonteSaleh Hussein, Ameer, Rihab Salah Khairy, Shaima Miqdad Mohamed Najeeb e Haider Th Salim Alrikabi. "Credit Card Fraud Detection Using Fuzzy Rough Nearest Neighbor and Sequential Minimal Optimization with Logistic Regression". International Journal of Interactive Mobile Technologies (iJIM) 15, n.º 05 (16 de março de 2021): 24. http://dx.doi.org/10.3991/ijim.v15i05.17173.
Texto completo da fonteJin, Huaiping, Xiangguang Chen, Li Wang, Kai Yang e Lei Wu. "Adaptive Soft Sensor Development Based on Online Ensemble Gaussian Process Regression for Nonlinear Time-Varying Batch Processes". Industrial & Engineering Chemistry Research 54, n.º 30 (28 de julho de 2015): 7320–45. http://dx.doi.org/10.1021/acs.iecr.5b01495.
Texto completo da fonteJin, Huaiping, Xiangguang Chen, Li Wang, Kai Yang e Lei Wu. "Dual learning-based online ensemble regression approach for adaptive soft sensor modeling of nonlinear time-varying processes". Chemometrics and Intelligent Laboratory Systems 151 (fevereiro de 2016): 228–44. http://dx.doi.org/10.1016/j.chemolab.2016.01.009.
Texto completo da fonteZhou, Zhiyu, Xu Gao, Jianxin Zhang, Zefei Zhu e Xudong Hu. "A novel hybrid model using the rotation forest-based differential evolution online sequential extreme learning machine for illumination correction of dyed fabrics". Textile Research Journal 89, n.º 7 (20 de março de 2018): 1180–97. http://dx.doi.org/10.1177/0040517518764020.
Texto completo da fonteBokolo, Biodoumoye George, e Qingzhong Liu. "Advanced Algorithmic Approaches for Scam Profile Detection on Instagram". Electronics 13, n.º 8 (19 de abril de 2024): 1571. http://dx.doi.org/10.3390/electronics13081571.
Texto completo da fonteBudiman, Arif, Mohamad Ivan Fanany e Chan Basaruddin. "Adaptive Online Sequential ELM for Concept Drift Tackling". Computational Intelligence and Neuroscience 2016 (2016): 1–17. http://dx.doi.org/10.1155/2016/8091267.
Texto completo da fonteKaneko, Hiromasa, e Kimito Funatsu. "Adaptive soft sensor based on online support vector regression and Bayesian ensemble learning for various states in chemical plants". Chemometrics and Intelligent Laboratory Systems 137 (outubro de 2014): 57–66. http://dx.doi.org/10.1016/j.chemolab.2014.06.008.
Texto completo da fonteSantoso, Dwi Budi, Aliyatul Munna e Dewi Handayani Untari Ningsih. "Improved playstore review sentiment classification accuracy with stacking ensemble". Journal of Soft Computing Exploration 5, n.º 1 (18 de março de 2024): 38–45. http://dx.doi.org/10.52465/joscex.v5i1.247.
Texto completo da fonteAsad, Rimsha, Saud Altaf, Shafiq Ahmad, Haitham Mahmoud, Shamsul Huda e Sofia Iqbal. "Machine Learning-Based Hybrid Ensemble Model Achieving Precision Education for Online Education Amid the Lockdown Period of COVID-19 Pandemic in Pakistan". Sustainability 15, n.º 6 (19 de março de 2023): 5431. http://dx.doi.org/10.3390/su15065431.
Texto completo da fontePacol, Caren Ambat. "Sentiment Analysis of Students’ Feedback on Faculty Online Teaching Performance Using Machine Learning Techniques". WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS 21 (19 de fevereiro de 2024): 65–76. http://dx.doi.org/10.37394/23209.2024.21.7.
Texto completo da fonteGiamarelos, Nikolaos, Myron Papadimitrakis, Marios Stogiannos, Elias N. Zois, Nikolaos-Antonios I. Livanos e Alex Alexandridis. "A Machine Learning Model Ensemble for Mixed Power Load Forecasting across Multiple Time Horizons". Sensors 23, n.º 12 (8 de junho de 2023): 5436. http://dx.doi.org/10.3390/s23125436.
Texto completo da fonteGaikwad, D. P., Vismita Nagrale e M. P. Bauskar. "Ensemble of Learner for Network Intrusion Detection System". Journal of Network Security Computer Networks 9, n.º 1 (6 de abril de 2023): 25–34. http://dx.doi.org/10.46610/jonscn.2023.v09i01.004.
Texto completo da fonteJin, Huaiping, Jiangang Li, Meng Wang, Bin Qian, Biao Yang, Zheng Li e Lixian Shi. "Ensemble Just-In-Time Learning-Based Soft Sensor for Mooney Viscosity Prediction in an Industrial Rubber Mixing Process". Advances in Polymer Technology 2020 (27 de março de 2020): 1–14. http://dx.doi.org/10.1155/2020/6575326.
Texto completo da fonteFayaz, Muhammad, Atif Khan, Javid Ur Rahman, Abdullah Alharbi, M. Irfan Uddin e Bader Alouffi. "Ensemble Machine Learning Model for Classification of Spam Product Reviews". Complexity 2020 (17 de dezembro de 2020): 1–10. http://dx.doi.org/10.1155/2020/8857570.
Texto completo da fonteOchola, Dennis, Bastiaen Boekelo, Gerrie W. J. van de Ven, Godfrey Taulya, Jerome Kubiriba, Piet J. A. van Asten e Ken E. Giller. "Mapping spatial distribution and geographic shifts of East African highland banana (Musa spp.) in Uganda". PLOS ONE 17, n.º 2 (17 de fevereiro de 2022): e0263439. http://dx.doi.org/10.1371/journal.pone.0263439.
Texto completo da fonteAslam, Naila, Kewen Xia, Furqan Rustam, Ernesto Lee e Imran Ashraf. "Self voting classification model for online meeting app review sentiment analysis and topic modeling". PeerJ Computer Science 8 (15 de dezembro de 2022): e1141. http://dx.doi.org/10.7717/peerj-cs.1141.
Texto completo da fonteYang, Kai, Huaiping Jin, Xiangguang Chen, Jiayu Dai, Li Wang e Dongxiang Zhang. "Soft sensor development for online quality prediction of industrial batch rubber mixing process using ensemble just-in-time Gaussian process regression models". Chemometrics and Intelligent Laboratory Systems 155 (julho de 2016): 170–82. http://dx.doi.org/10.1016/j.chemolab.2016.04.009.
Texto completo da fonteKhozouie, Nasim, Omid Rahmani Seryasat e Sadegh Moshrefzadeh. "Prediction of Diabetes using Supervised Learning Approach". Health Nexus 2, n.º 2 (2024): 103–11. http://dx.doi.org/10.61838/kman.hn.2.2.12.
Texto completo da fontePradeep K V, Rajarajeshwari S, Sujay Doshi, D. Yuvaraj, Nachiyappan S,. "Ensemble Learning-Based Browser Extension for Mitigating Cyber Attacks Carried out using Malicious Short URLs". Journal of Electrical Systems 20, n.º 3s (4 de abril de 2024): 158–69. http://dx.doi.org/10.52783/jes.1264.
Texto completo da fonteSanthiya, S., e C. S. KanimozhiSelvi. "A study on dyslexia detection using machine learning techniques for checklist, questionnaire and online game based datasets". Applied and Computational Engineering 5, n.º 1 (14 de junho de 2023): 837–42. http://dx.doi.org/10.54254/2755-2721/5/20230722.
Texto completo da fonteAbidi, Syed Muhammad Raza, Wu Zhang, Saqib Ali Haidery, Sanam Shahla Rizvi, Rabia Riaz, Hu Ding e Se Jin Kwon. "Educational Sustainability through Big Data Assimilation to Quantify Academic Procrastination Using Ensemble Classifiers". Sustainability 12, n.º 15 (28 de julho de 2020): 6074. http://dx.doi.org/10.3390/su12156074.
Texto completo da fonteOtorokpo, Emakpor Augustine, Margaret Dumebi Okpor, Rume Elizabeth Yoro, Success Endurance Brizimor, Ayo Michael Ifioko, Dickson Abiodun Obasuyi, Chris Chukwufunaya Odiakaose et al. "DaBO-BoostE: Enhanced Data Balancing via Oversampling Technique for a Boosting Ensemble in Card-Fraud Detection". Advances in Multidisciplinary & Scientific Research Journal Publications 12 (2024): 45–66. http://dx.doi.org/10.22624/aims/maths/v12n2p4.
Texto completo da fonteAlajali, Walaa, Wei Zhou, Sheng Wen e Yu Wang. "Intersection Traffic Prediction Using Decision Tree Models". Symmetry 10, n.º 9 (7 de setembro de 2018): 386. http://dx.doi.org/10.3390/sym10090386.
Texto completo da fonteIsiaka, Dauda Olorunkemi, Joshua Babatunde Agbogun e Taiwo Kolajo. "A Framework for Predictive - Diagnosis of Prevalent Illness among University Students". Journal of Applied Artificial Intelligence 3, n.º 2 (31 de dezembro de 2022): 24–38. http://dx.doi.org/10.48185/jaai.v3i2.667.
Texto completo da fonteLee, Sangjae, e Joon Yeon Choeh. "Movie Production Efficiency Moderating between Online Word-of-Mouth and Subsequent Box Office Revenue". Sustainability 12, n.º 16 (14 de agosto de 2020): 6602. http://dx.doi.org/10.3390/su12166602.
Texto completo da fonteAlqahtani, Hassan, e Asok Ray. "Neural Network-Based Automated Assessment of Fatigue Damage in Mechanical Structures". Machines 8, n.º 4 (16 de dezembro de 2020): 85. http://dx.doi.org/10.3390/machines8040085.
Texto completo da fonteChen, Yifei, Zhenyu Jia, Dan Mercola e Xiaohui Xie. "A Gradient Boosting Algorithm for Survival Analysis via Direct Optimization of Concordance Index". Computational and Mathematical Methods in Medicine 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/873595.
Texto completo da fonteAli, Hashir, Ehtesham Hashmi, Sule Yayilgan Yildirim e Sarang Shaikh. "Analyzing Amazon Products Sentiment: A Comparative Study of Machine and Deep Learning, and Transformer-Based Techniques". Electronics 13, n.º 7 (31 de março de 2024): 1305. http://dx.doi.org/10.3390/electronics13071305.
Texto completo da fonteYin, Zhijun, Lina M. Sulieman e Bradley A. Malin. "A systematic literature review of machine learning in online personal health data". Journal of the American Medical Informatics Association 26, n.º 6 (25 de março de 2019): 561–76. http://dx.doi.org/10.1093/jamia/ocz009.
Texto completo da fonteMassey, Alexander, Corentin Boennec, Claudia Ximena Restrepo-Ortiz, Christophe Blanchet, Samuel Alizon e Mircea T. Sofonea. "Real-time forecasting of COVID-19-related hospital strain in France using a non-Markovian mechanistic model". PLOS Computational Biology 20, n.º 5 (17 de maio de 2024): e1012124. http://dx.doi.org/10.1371/journal.pcbi.1012124.
Texto completo da fonteZhang, Yanju, Ruopeng Xie, Jiawei Wang, André Leier, Tatiana T. Marquez-Lago, Tatsuya Akutsu, Geoffrey I. Webb, Kuo-Chen Chou e Jiangning Song. "Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework". Briefings in Bioinformatics 20, n.º 6 (24 de agosto de 2018): 2185–99. http://dx.doi.org/10.1093/bib/bby079.
Texto completo da fonteWang, Peng, e Zhengliang Xu. "A Novel Consumer Purchase Behavior Recognition Method Using Ensemble Learning Algorithm". Mathematical Problems in Engineering 2020 (19 de dezembro de 2020): 1–10. http://dx.doi.org/10.1155/2020/6673535.
Texto completo da fonteCorrea, Ramon Santos, Patricia Teixeira Sampaio, Rafael Utsch Braga, Victor Alberto Lambertucci, Gustavo Matheus Almeida e Antonio Padua Braga. "Prediction of Mechanical Properties of Seamless Steel Tubes Using Artificial Neural Networks". International Journal of Computational Intelligence and Applications 19, n.º 04 (15 de outubro de 2020): 2050028. http://dx.doi.org/10.1142/s1469026820500285.
Texto completo da fonteAlarfaj, Fawaz Khaled, e Jawad Abbas Khan. "Deep Dive into Fake News Detection: Feature-Centric Classification with Ensemble and Deep Learning Methods". Algorithms 16, n.º 11 (3 de novembro de 2023): 507. http://dx.doi.org/10.3390/a16110507.
Texto completo da fonte