Bagging predictors

Breiman, Leo·1996·Machine Learning

Cited by (228)

Items 201–228 of 228

  1. Evaluation of Pattern Recognition Methods for Head Gesture-Based Interface of a Virtual Reality Helmet Equipped with a Single IMU Sensor
    Hachaj, Tomasz, Piekarczyk, Marcin · 2019 · Sensors
  2. Ready, Steady, Go AI: A practical tutorial on fundamentals of artificial intelligence and its applications in phenomics image analysis
    Nakhle, Farid, Harfouche, Antoine L. · 2021 · Patterns
  3. Artificial intelligence and machine learning: Definition of terms and current concepts in critical care research
    Sun, Kai, Roy, Arkajyoti, Tobin, Joshua M. · 2024 · Journal of Critical Care
  4. Discriminating between empirical studies and nonempirical works using automated text classification
    Langlois, Alexis, Nie, Jian‐Yun, Thomas, James, Hong, Quan Nha, Pluye, Pierre · 2018 · Research Synthesis Methods
  5. Ensemble system based on genetic algorithm for stock market forecasting
    Gonzalez, Rafael Thomazi, Padilha, Carlos Alberto, Barone, Dante Augusto Couto · 2015 · 2015 IEEE Congress on Evolutionary Computation (CEC)
  6. A two‐stage forecasting approach for short‐term intermodal freight prediction
    Moscoso‐López, José Antonio, Turias, Ignacio, Jiménez‐Come, Maria Jesús, Ruiz‐Aguilar, Juan Jesús, Cerbán, María del Mar · 2019 · International Transactions in Operational Research
  7. Computational Barthel Index: an automated tool for assessing and predicting activities of daily living among nursing home patients
    Wojtusiak, Janusz, Asadzadehzanjani, Negin, Levy, Cari, Alemi, Farrokh, Williams, Allison E. · 2021 · BMC Medical Informatics and Decision Making
  8. Involving Users to Improve the Collaborative Logical Framework
    Santos, Olga C., Boticario, Jesus G. · 2014 · The Scientific World Journal
  9. Hypothesis Transfer Learning for Efficient Data Computing in Smart Cities Environments
    Valerio, Lorenzo, Passarella, Andrea, Conti, Marco · 2016 · 2016 IEEE International Conference on Smart Computing (SMARTCOMP)
  10. Cross-Diagnosis Structural Correlates of Autistic-Like Social Communication Differences
    Kushki, Azadeh, Cardy, Robyn E, Panahandeh, Sina, Malihi, Mahan, Hammill, Christopher, Brian, Jessica, Iaboni, Alana, Taylor, Margot J, Schachar, Russell, Crosbie, Jennifer et al. · 2021 · Cerebral Cortex
  11. P300 event-related potential detection using one-dimensional convolutional capsule networks
    Liu, Xiang, Xie, Qingsheng, Lv, Jian, Huang, Haisong, Wang, Weixing · 2021 · Expert Systems with Applications
  12. Integrating Federated Learning for Improved Counterfactual Explanations in Clinical Decision Support Systems for Sepsis Therapy
    Düsing, Christoph, Cimiano, Philipp, Rehberg, Sebastian, Scherer, Christiane, Kaup, Olaf, Köster, Christiane, Hellmich, Stefan, Herrmann, Daniel, Meier, Kirsten Laura, Claßen, Simon et al. · 2024 · Artificial Intelligence in Medicine
  13. Selection of Noninvasive Features in Wrist-Based Wearable Sensors to Predict Blood Glucose Concentrations Using Machine Learning Algorithms
    Bogue-Jimenez, Brian, Huang, Xiaolei, Powell, Douglas, Doblas, Ana · 2022 · Sensors
  14. Machine learning model to predict oncologic outcomes for drugs in randomized clinical trials
    Schperberg, Alexander V., Boichard, Amélie, Tsigelny, Igor F., Richard, Stéphane B., Kurzrock, Razelle · 2020 · International Journal of Cancer
  15. Age-related differences in cerebral blood flow and cortical thickness with an application to age prediction
    MacDonald, M. Ethan, Williams, Rebecca J., Rajashekar, Deepthi, Stafford, Randall B., Hanganu, Alexadru, Sun, Hongfu, Berman, Avery J.L., McCreary, Cheryl R., Frayne, Richard, Forkert, Nils D. et al. · 2020 · Neurobiology of Aging
  16. An ensemble learning strategy for panel time series forecasting of excess mortality during the COVID-19 pandemic
    Ashofteh, Afshin, Bravo, Jorge M., Ayuso, Mercedes · 2022 · Applied Soft Computing
  17. Variable time delay estimation in continuous industrial processes
    Cattaldo, Marco, Ferrer, Alberto, Måge, Ingrid · 2024 · Chemometrics and Intelligent Laboratory Systems
  18. QASC: A Dataset for Question Answering via Sentence Composition
    Khot, Tushar, Clark, Peter, Guerquin, Michal, Jansen, Peter, Sabharwal, Ashish · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
  19. Artificial Neural Networks Classification of Patients with Parkinsonism based on Gait
    Fernandes, Carlos, Fonseca, Luis, Ferreira, Flora, Gago, Miguel, Costa, Lus, Sousa, Nuno, Ferreira, Carlos, Gama, Joao, Erlhagen, Wolfram, Bicho, Estela · 2018 · 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  20. A soft sensor for simulating algal cell density based on dynamic response to environmental changes in a eutrophic shallow lake
    Rao, Wenxin, Qian, Xin, Fan, Yifan, Liu, Tong · 2023 · Science of The Total Environment
  21. Counteracting the contemporaneous proliferation of digital forgeries and fake news
    FERREIRA, ALEXANDRE, CARVALHO, TIAGO, ANDALÓ, FERNANDA, ROCHA, ANDERSON · 2019 · Anais da Academia Brasileira de Ciências
  22. Quantum computing and supervised machine learning
    Oneto, L., Ridella, S., Anguita, D. · 2017 · Quantum Inspired Computational Intelligence
  23. Machine-learnt versus analytical models of TCP throughput
    El Khayat, I., Geurts, P., Leduc, G. · 2007 · Computer Networks
  24. Exploiting Data and Human Knowledge for Predicting Wildlife Poaching
    Gurumurthy, Swaminathan, Yu, Lantao, Zhang, Chenyan, Jin, Yongchao, Li, Weiping, Zhang, Xiaodong, Fang, Fei · 2018 · Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies
  25. Modeling health risks using neural network ensembles
    Smith, Brandon M., Criminisi, Antonio, Sorek, Noam, Harari, Yaar, Sood, Neeraj, Heymsfield, Steven B. · 2024 · PLOS ONE
  26. Engineering the Neural Automatic Passenger Counter
    Jahn, Nico, Siebert, Michael · 2022 · Engineering Applications of Artificial Intelligence
  27. Intelligence plays dice: Stochasticity is essential for machine learning
    Sabuncu, Mert R. · 2020 · arXiv
  28. TIPS: A Prompt Engineering Framework for Code Classification and Generation on Resource-Constrained Systems
    Chen, Wei-Cheng, Chen, Shih-Yeh · 2026 · IEEE Access