Neural Networks for Pattern Recognition

Bishop, Christopher M·1995
DOI 10.1093/oso/9780198538493.001.0001

Cited by (1,026)

Items 1,001–1,026 of 1,026

  1. Prediction of survival in patients with esophageal carcinoma using artificial neural networks
    Sato, Fumiaki, Shimada, Yutaka, Selaru, Florin M., Shibata, David, Maeda, Masato, Watanabe, Go, Mori, Yuriko, Stass, Sanford A., Imamura, Masayuki, Meltzer, Stephen J. · 2005 · Cancer
  2. How feedback, motor imagery, and reward influence brain self‐regulation using real‐time fMRI
    Sepulveda, Pradyumna, Sitaram, Ranganatha, Rana, Mohit, Montalba, Cristian, Tejos, Cristian, Ruiz, Sergio · 2016 · Human Brain Mapping
  3. Radio Galaxy Zoo: compact and extended radio source classification with deep learning
    Lukic, V, Brüggen, M, Banfield, J K, Wong, O I, Rudnick, L, Norris, R P, Simmons, B · 2018 · Monthly Notices of the Royal Astronomical Society
  4. Joint annotation of chromatin state and chromatin conformation reveals relationships among domain types and identifies domains of cell-type-specific expression
    Libbrecht, Maxwell W., Ay, Ferhat, Hoffman, Michael M., Gilbert, David M., Bilmes, Jeffrey A., Noble, William Stafford · 2015 · Genome Research
  5. An Improved MB-LBP Defect Recognition Approach for the Surface of Steel Plates
    Liu, Yang, Xu, Ke, Xu, Jinwu · 2019 · Applied Sciences
  6. Prediction and prevention of hypoglycaemic events in type-1 diabetic patients using machine learning
    Vehí, Josep, Contreras, Iván, Oviedo, Silvia, Biagi, Lyvia, Bertachi, Arthur · 2020 · Health Informatics Journal
  7. Geographically Weighted Machine Learning and Downscaling for High-Resolution Spatiotemporal Estimations of Wind Speed
    Li, Lianfa · 2019 · Remote Sensing
  8. A machine learning approach to improve congestion control over wireless computer networks
    Geurts, P., El Khayat, I., Leduc, G. · 2004 · Fourth IEEE International Conference on Data Mining (ICDM'04)
  9. ATHENA: the analysis tool for heritable and environmental network associations
    Holzinger, Emily R., Dudek, Scott M., Frase, Alex T., Pendergrass, Sarah A., Ritchie, Marylyn D. · 2014 · Bioinformatics
  10. Empirical Asset Pricing via Machine Learning
    Gu, Shihao, Kelly, Bryan T., Xiu, Dacheng · 2018 · The Review of Financial Studies
  11. Identification of task parameters from movement-related cortical potentials
    Gu, Ying, do Nascimento, Omar Feix, Lucas, Marie-Françoise, Farina, Dario · 2009 · Medical & Biological Engineering & Computing
  12. Ensemble learning of rule-based evolutionary algorithm using multi-layer perceptron for supporting decisions in stock trading problems
    Mabu, Shingo, Obayashi, Masanao, Kuremoto, Takashi · 2015 · Applied Soft Computing
  13. Quaternion-Based Gesture Recognition Using Wireless Wearable Motion Capture Sensors
    Alavi, Shamir, Arsenault, Dennis, Whitehead, Anthony · 2016 · Sensors
  14. Covariation of Depressive Mood and Spontaneous Physical Activity in Major Depressive Disorder: Toward Continuous Monitoring of Depressive Mood
    Kim, Jinhyuk, Nakamura, Toru, Kikuchi, Hiroe, Yoshiuchi, Kazuhiro, Sasaki, Tsukasa, Yamamoto, Yoshiharu · 2015 · IEEE Journal of Biomedical and Health Informatics
  15. Generative Artificial Intelligence and Large Language Models in Primary Care Medical Education
    Parente, Daniel J. · 2024 · Family Medicine
  16. On the use of machine learning techniques for the mechanical characterization of soft biological tissues
    Cilla, Myriam, Pérez‐Rey, Ignacio, Martínez, Miguel Angel, Peña, Estefania, Martínez, Javier · 2018 · International Journal for Numerical Methods in Biomedical Engineering
  17. Application of Artificial Neural Networks Techniques to Computer Worm Detection
    Stopel, D., Boger, Z., Moskovitch, R., Shahar, Y., Elovici, Y. · 2006 · The 2006 IEEE International Joint Conference on Neural Network Proceedings
  18. Enhancement of TCP over wired/wireless networks with packet loss classifiers inferred by supervised learning
    El Khayat, Ibtissam, Geurts, Pierre, Leduc, Guy · 2010 · Wireless Networks
  19. Multimodal deep learning for cancer prognosis prediction with clinical information prompts integration
    Hou, Jiaxin, Zhang, Ranran, Xie, Yaoqin, Li, Chao, Qin, Wenjian · 2025 · npj Digital Medicine
  20. Combining Multichannel RSSI and Vision with Artificial Neural Networks to Improve BLE Trilateration
    Naghdi, Sharareh, O’Keefe, Kyle · 2022 · Sensors
  21. Design of Electroceramic Materials Using Artificial Neural Networks and Multiobjective Evolutionary Algorithms
    Scott, D. J., Manos, S., Coveney, P. V. · 2008 · Journal of Chemical Information and Modeling
  22. Secure and Efficient Coded Multi-Access Edge Computing With Generalized Graph Neural Networks
    Asheralieva, Alia, Niyato, Dusit · 2023 · IEEE Transactions on Mobile Computing
  23. Satellite On-Board Change Detection via Auto-Associative Neural Networks
    Guerrisi, Giorgia, Del Frate, Fabio, Schiavon, Giovanni · 2022 · Remote Sensing
  24. Machine Learning Based Analysis of Structural MRI for Epilepsy Diagnosis
    Sahebzamani, Ghazal, Saffar, Mansour, Soltanian-Zadeh, Hamid · 2019 · 2019 4th International Conference on Pattern Recognition and Image Analysis (IPRIA)
  25. Intelligent Systems Engineering: Optical network applications
    Leeson, M.S., Green, R.J., Higgins, M.D., Hines, E.L. · 2011 · 2011 13th International Conference on Transparent Optical Networks
  26. Untitled work
    CC Mutai · 2000 · 10.1175/1520-0442(2000)013