Neural Networks for Pattern Recognition

Cited by (1,026)

Items 501–600 of 1,026

1. Simultaneous encoding of tactile information by three primate cortical areas
   Miguel A. L. Nicolelis, Asif A. Ghazanfar, Christopher R. Stambaugh, Laura M. O. Oliveira, Mark Laubach, John K. Chapin, Randall J. Nelson, Jon H. Kaas · 1998 · Nature Neuroscience
2. Online state of health estimation on NMC cells based on predictive analytics
   Berecibar, Maitane, Devriendt, Floris, Dubarry, Matthieu, Villarreal, Igor, Omar, Noshin, Verbeke, Wouter, Van Mierlo, Joeri · 2016 · Journal of Power Sources
3. Unknown Malcode Detection Using OPCODE Representation
   Robert Moskovitch, Clint Feher, Nir Tzachar · 2008 · Lecture notes in computer science
4. The role of vocal individuality in conservation
   Andrew M. R. Terry, Tom M. Peake, Peter K. McGregor · 2005 · Frontiers in Zoology
5. Online Learning Solutions for Freeway Travel Time Prediction
   Hans van Lint · 2008 · IEEE Transactions on Intelligent Transportation Systems
6. A hierarchical latent variable model for data visualization
   C.M. Bishop, Michael E. Tipping · 1998 · IEEE Transactions on Pattern Analysis and Machine Intelligence
7. Estimating photometric redshifts with artificial neural networks
   Andrew E. Firth, Ofer Lahav, Rachel S. Somerville · 2003 · Monthly Notices of the Royal Astronomical Society
8. Artificial neural network ensembles and their application in pooled flood frequency analysis
   Chang Shu, Donald H. Burn · 2004 · Water Resources Research
9. Advances in Artificial Neural Networks – Methodological Development and Application
   Yanbo Huang · 2009 · Algorithms
10. Atmospheric correction algorithm for MERIS above case‐2 waters
    T. Schroeder, Irina Behnert, Michael Schaale · 2007 · International Journal of Remote Sensing
11. Ml-rbf: RBF Neural Networks for Multi-Label Learning
    Min-Ling Zhang · 2009 · Neural Processing Letters
12. Predictive ability of logistic regression, auto-logistic regression and neural network models in empirical land-use change modeling – a case study
    Yu‐Pin Lin, Hone‐Jay Chu, Chen‐Fa Wu, Peter H. Verburg · 2010 · International Journal of Geographical Information Systems
13. The designers' outpost
    Scott Klemmer, Mark Newman, Ryan J. Farrell, Mark Bilezikjian, James A. Landay · 2001 · ACM Symposium on User Interface Software and Technology (UIST)
14. Online adaptive fuzzy neural identification and control of a class of mimo nonlinear systems
    Yang Gao, Meng Joo Er · 2003 · IEEE Transactions on Fuzzy Systems
15. A Filter Approach to Multiple Feature Construction for Symbolic Learning Classifiers Using Genetic Programming
    Kourosh Neshatian, Mengjie Zhang, Peter M. Andreae · 2012 · IEEE Transactions on Evolutionary Computation
16. Risk-sensitive reinforcement learning applied to control under constraints
    Peter Geibel, Fritz Wysotzki · 2005
17. A Density-Functional Theory-Based Neural Network Potential for Water Clusters Including van der Waals Corrections
    Tobias Morawietz, Jörg Behler · 2013 · The Journal of Physical Chemistry A
18. Model complexity control for regression using VC generalization bounds
    Vladimir Cherkassky, Xuhui Shao, Filip M. Mulier, Vladimir N. Vapnik · 1999 · IEEE Transactions on Neural Networks
19. Fault detection analysis using data mining techniques for a cluster of smart office buildings
    Alfonso Capozzoli, Fiorella Lauro, Imran Khan · 2015 · Expert Systems with Applications
20. Model selection for the LS-SVM. Application to handwriting recognition
    Mathias M. Adankon, Mohamed Cheriet · 2008 · Pattern Recognition
21. Galaxy Zoo: reproducing galaxy morphologies via machine learning★
    M. Banerji, O. Lahav, Chris J. Lintott, Filipe Batoni Abdalla, Kevin Schawinski, Steven P. Bamford, Dan Andreescu, Phil Murray, M. Jordan Raddick, Anze Slosar et al. · 2010 · Monthly Notices of the Royal Astronomical Society
22. A literature review on one-class classification and its potential applications in big data
    Naeem Seliya, Azadeh Abdollah Zadeh, Taghi M. Khoshgoftaar · 2021 · Journal Of Big Data
23. Neural networks as an intelligence amplification tool: A review of applications
    Mary M. Poulton · 2002 · Geophysics
24. A new method for unveiling open clusters in Gaia
    A. Castro-Ginard, C. Jordi, X. Luri · 2018 · Astronomy and Astrophysics
25. Combining negative selection and classification techniques for anomaly detection
    Fabio A. González, Dipankar Dasgupta, Róbert Kozma · 2003 · IEEE Congress on Evolutionary Computation (CEC)
26. Using model‐data fusion to interpret past trends, and quantify uncertainties in future projections, of terrestrial ecosystem carbon cycling
    Trevor F. Keenan, Eric A. Davidson, Antje Lucas-Moffat, J. William Munger, Andrew David Richardson · 2012 · Global Change Biology
27. Constructing descriptive and discriminative nonlinear features: Rayleigh coefficients in kernel feature spaces
    S. Mika, Gunnar Rätsch, Jason Weston · 2003 · IEEE Transactions on Pattern Analysis and Machine Intelligence
28. Unsupervised Learning of a Finite Mixture Model Based on the Dirichlet Distribution and Its Application
    Nizar Bouguila, Djemel Ziou, Jean Vaillancourt · 2004 · IEEE Transactions on Image Processing
29. Identification of physical processes inherent in artificial neural network rainfall runoff models
    Ashu Jain, K. P. Sudheer, S. Srinivasulu · 2004 · Hydrological Processes
30. Automated supervised classification of variable stars
    J. Debosscher, Luis Manuel Sarro, Conny Aerts · 2007 · Astronomy and Astrophysics
31. Hand Tracking and Gesture Recognition for Human-Computer Interaction
    Cristina Manresa, Javier Varona, Ramon Mas · 2005 · ELCVIA Electronic Letters on Computer Vision and Image Analysis
32. Expectation–Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology
    Hussain Fatakdawala, Jun Xu, Ajay N. Basavanhally, Gyan V Bhanot, Shridar Ganesan, Michael D. Feldman, John E. Tomaszewski, Anant Madabhushi · 2010 · IEEE Transactions on Biomedical Engineering
33. Modeling drivers’ speech under stress
    Raul Fernandez, Rosalind W. Picard · 2003 · Speech Communication
34. Feature subset selection and feature ranking for multivariate time series
    H. Yoon, Kevin J Yang, Cyrus Shahabi · 2005 · IEEE Transactions on Knowledge and Data Engineering
35. LSCE-FFNN-v1: a two-step neural network model for the reconstruction of surface ocean p CO 2 over the global ocean
    Anna Denvil-Sommer, Marion Gehlen, Mathieu Vrac, Carlos Mejía · 2019 · Geoscientific model development
36. Big Data Analytics in the Cloud: Spark on Hadoop vs MPI/OpenMP on Beowulf
    Jorge Luis Reyes-Ortiz, Luca Oneto, Davide Anguita · 2015 · Procedia Computer Science
37. Semisupervised Classification of Hyperspectral Images by SVMs Optimized in the Primal
    Mingmin Chi, Lorenzo Bruzzone · 2007 · IEEE Transactions on Geoscience and Remote Sensing
38. Review: machine learning techniques applied to cybersecurity
    Javier Martínez Martínez, Carla Iglesias Comesaña, Paulino José García Nieto · 2019 · International Journal of Machine Learning and Cybernetics
39. Reinforcement Learning in Continuous State and Action Spaces
    Hado P. van Hasselt · 2012 · Adaptation, learning, and optimization
40. Identification of correct regions in protein models using structural, alignment, and consensus information
    Björn Wallner, Arne Elofsson · 2006 · Protein Science
41. Mode-finding for mixtures of Gaussian distributions
    Miguel Á. Carreira-Perpiñán · 2000 · IEEE Transactions on Pattern Analysis and Machine Intelligence
42. Unsupervised learning of human motion
    Yang Song, L. Goncalves, Pietro Perona · 2003 · IEEE Transactions on Pattern Analysis and Machine Intelligence
43. High-Resolution Aerial Image Labeling With Convolutional Neural Networks
    Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez · 2017 · IEEE Transactions on Geoscience and Remote Sensing
44. A Deep Learning Approach for Predicting Antidepressant Response in Major Depression Using Clinical and Genetic Biomarkers
    Eugene Lin, Po‐Hsiu Kuo, Yu-Li Liu, Younger W.‐Y. Yu, Albert C. Yang, Shih‐Jen Tsai · 2018 · Frontiers in Psychiatry
45. A Survey of Robotics Control Based on Learning-Inspired Spiking Neural Networks
    Zhenshan Bing, Claus Meschede, Florian Röhrbein, Kai Huang, Alois Knoll · 2018 · Frontiers in Neurorobotics
46. A New Multivariate Approach for Prognostics Based on Extreme Learning Machine and Fuzzy Clustering
    Kamran Javed, Rafael Gouriveau, Noureddine Zerhouni A · 2015 · IEEE Transactions on Cybernetics
47. Machine learning and systems genomics approaches for multi-omics data
    Eugene Lin, Hsien‐Yuan Lane · 2017 · Biomarker Research
48. APPLICATION OF HIGHER ORDER CUMULANT FEATURES FOR CARDIAC HEALTH DIAGNOSIS USING ECG SIGNALS
    Roshan Joy Martis, U. Rajendra Acharya, Choo Min Lim, Kayapanda Muthana Mandana, A. K. RAY, Chandan Chakraborty · 2013 · International Journal of Neural Systems
49. Structure from fleeting illumination of faint spinning objects in flight
    Russell Fung, V. L. Shneerson, D. K. Saldin, A. Ourmazd · 2008 · Nature Physics
50. A New Deep Generative Network for Unsupervised Remote Sensing Single-Image Super-Resolution
    Juan Mario Haut, Rubén Fernández-Beltrán, Mercedes Eugenia Paoletti, Javier Plaza, Antonio Plaza, Filiberto Pla · 2018 · IEEE Transactions on Geoscience and Remote Sensing
51. Motion-based recognition of people in EigenGait space
    Chiraz BenAbdelkader, Ross Cutler, L.S. Davis · 2003
52. Multiobjective evolutionary optimization of the size, shape, and position parameters of radial basis function networks for function approximation
    Jesús González, Ignacio Rojas, Julio Ortega, H. Pomares, J. Fernandez, Antonio Francisco Díaz · 2003 · IEEE Transactions on Neural Networks
53. Pixel Unmixing in Hyperspectral Data by Means of Neural Networks
    Giorgio Licciardi, Fabio Del Frate · 2011 · IEEE Transactions on Geoscience and Remote Sensing
54. Nonlinear Dynamic Modeling of Spike Train Transformations for Hippocampal-Cortical Prostheses
    Dong Beom Song, Rosa H. M. Chan, Vasilis Z. Marmarelis, Robert E. Hampson, Sam A. Deadwyler, Theodore W. Berger · 2007 · IEEE Transactions on Biomedical Engineering
55. Motion texture
    Yan Li, Tianshu Wang, Heung‐Yeung Shum · 2002 · ACM Transactions on Graphics
56. Prediction Intervals to Account for Uncertainties in Travel Time Prediction
    Abbas Khosravi, Ehsan Mazloumi, Saeid Nahavandi, Doug Creighton, Hans van Lint · 2011 · IEEE Transactions on Intelligent Transportation Systems
57. Semantic Segmentation for High Spatial Resolution Remote Sensing Images Based on Convolution Neural Network and Pyramid Pooling Module
    Bo Yu, Lu Yang, Fang Chen · 2018 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
58. Global crustal thickness from neural network inversion of surface wave data
    Ueli Meier, Andrew Curtis, Jeannot Trampert · 2007 · Geophysical Journal International
59. Long-lasting semantic context effects in the spoken production of object names.
    M. Damian, Lorraine C Als · 2005 · Journal of Experimental Psychology. Learning, Memory and Cognition
60. Identifying Basketball Performance Indicators in Regular Season and Playoff Games
    Javier García-Rubio, Sérgio J. Ibáñez, Raúl Martínez-Santos · 2013 · Journal of Human Kinetics
61. Decision Fusion for the Classification of Hyperspectral Data: Outcome of the 2008 GRS-S Data Fusion Contest
    Giorgio Licciardi, Fabio Pacifici, Devis Tuia et al. · 2009 · IEEE Transactions on Geoscience and Remote Sensing
62. Laser Direct Metal Deposition of 2024 Al Alloy: Trace Geometry Prediction via Machine Learning
    Fabrizia Caiazzo, Alessandra Caggiano · 2018 · Materials
63. Automated diagnosis of pigmented skin lesions
    Pietro Rubegni, Gabriele Cevenini, Marco Burroni et al. · 2002 · International Journal of Cancer
64. Fast automated cell phenotype image classification
    Nicholas Hamilton, Radosav Pantelic, Kelly Hanson, Rohan David Teasdale · 2007 · BMC Bioinformatics
65. An advanced system for the automatic classification of multitemporal SAR images
    Lorenzo Bruzzone, Mattia Marconcini, U. Wegmüller · 2004 · IEEE Transactions on Geoscience and Remote Sensing
66. Tracking and segmenting people in varying lighting conditions using colour
    Yogesh Raja, Stephen James McKenna, Shaogang Gong · 2002 · International Conference on Automatic Face and Gesture Recognition
67. ENSEMBLE OF SOFTWARE DEFECT PREDICTORS: AN AHP-BASED EVALUATION METHOD
    Yi Peng, Gang Kou, Guoxun Wang, Wenshuai Wu, Yong Shi · 2011 · International Journal of Information Technology & Decision Making
68. Short-Term Freeway Traffic Volume Forecasting Using Radial Basis Function Neural Network
    Byungkyu Park, Carroll J. Messer, Thomas J. Urbanik · 1998 · Transportation Research Record Journal of the Transportation Research Board
69. Multistage RBF neural network ensemble learning for exchange rates forecasting
    Lean Yu, Kin Keung Lai, Shouyang Wang · 2008 · Neurocomputing
70. Decompositional Rule Extraction from Support Vector Machines by Active Learning
    David Martens, Bart Baesens, Tony Van Gestel · 2009 · IEEE Transactions on Knowledge and Data Engineering
71. An algorithm for sleep apnea detection from single-lead ECG using Hermite basis functions
    Hemant Kumar Sharma, Kamalesh Kumar Sharma · 2016 · Computers in Biology and Medicine
72. Comparison of supervised and unsupervised approaches for mudstone lithofacies classification: Case studies from the Bakken and Mahantango-Marcellus Shale, USA
    Shuvajit Bhattacharya, Timothy R. Carr, Mahesh Pal · 2016 · Journal of Natural Gas Science and Engineering
73. A Movement Decomposition and Machine Learning-Based Fall Detection System Using Wrist Wearable Device
    Thiago de Quadros, André Eugênio Lazzaretti, Fábio Kurt Schneider · 2018 · IEEE Sensors Journal
74. Latent Variable Models
    Chris Bishop · 1998 · Springer eBooks
75. Deep Learning for Time Series Forecasting: Advances and Open Problems
    Angelo Casolaro, Vincenzo Capone, Gennaro Iannuzzo, Francesco Camastra · 2023 · Information
76. Bayesian Neural Network Analysis of Undrained Side Resistance of Drilled Shafts
    Anthony T.C. Goh, Fred H. Kulhawy, C. G. Chua · 2004 · Journal of Geotechnical and Geoenvironmental Engineering
77. Coadaptive Brain–Machine Interface via Reinforcement Learning
    Jack DiGiovanna, Babak Mahmoudi, J.A.B. Fortes, José Carlos Príncipe, Justin C. Sanchez · 2009 · IEEE Transactions on Biomedical Engineering
78. Combining EEG signal processing with supervised methods for Alzheimer’s patients classification
    Fiscon, Giulia, Weitschek, Emanuel, Cialini, Alessio, Felici, Giovanni, Bertolazzi, Paola, De Salvo, Simona, Bramanti, Alessia, Bramanti, Placido, De Cola, Maria Cristina · 2018 · BMC Medical Informatics and Decision Making
79. Automatic Short-Term Solar Flare Prediction Using Machine Learning and Sunspot Associations
    Rami Qahwaji, T. Colak · 2007 · Solar Physics
80. A comparative evaluation of the generalised predictive ability of eight machine learning algorithms across ten clinical metabolomics data sets for binary classification
    Kevin M. Mendez, Stacey N. Reinke, David Broadhurst · 2019 · Metabolomics
81. An adaptive segmentation algorithm for time-of-flight MRA data
    David L. Wilson, Julia Alison Noble · 1999 · IEEE Transactions on Medical Imaging
82. Light field mapping
    Wei-Chao Chen, Jean-Yves Bouguet, Michael H. Chu, Radek Grzeszczuk · 2002 · ACM SIGGRAPH Conference (SIGGRAPH)
83. Adaptation to Visuomotor Rotation Through Interaction Between Posterior Parietal and Motor Cortical Areas
    Hirokazu Tanaka, Terrence J. Sejnowski A B, John W. Krakauer · 2009 · Journal of Neurophysiology
84. Railway bridge structural health monitoring and fault detection: State-of-the-art methods and future challenges
    Matteo Vagnoli, Rasa Remenyte‐Prescott, John Andrews · 2017 · Structural Health Monitoring
85. Color image indexing using BTC
    Guoping Qiu · 2003 · IEEE Transactions on Image Processing
86. Multichannel ECG and Noise Modeling: Application to Maternal and Fetal ECG Signals
    Reza Sameni, Gari D. Clifford, Christian Jutten · 2007 · EURASIP Journal on Advances in Signal Processing
87. Modeling focus of attention for meeting indexing based on multiple cues
    Rainer Stiefelhagen, Jie Yang, Alex Waibel · 2002 · IEEE Transactions on Neural Networks
88. Path Loss Prediction Based on Machine Learning Techniques: Principal Component Analysis, Artificial Neural Network, and Gaussian Process
    Han‐Shin Jo, Chanshin Park, Eunhyoung Lee · 2020 · Sensors
89. Processing and classification of protein mass spectra
    Mélanie Hilario, Alexandros Kalousis, Christian Pellegrini, Markus Müller · 2006 · Mass Spectrometry Reviews
90. The use of genetic algorithms and neural networks to approximate missing data in database
    M. Abdella, Tshilidzi Marwala · 2006 · IEEE International Conference on Computational Cybernetics (ICCC)
91. Fully convolutional neural networks for remote sensing image classification
    Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat, Pierre Alliez · 2016 · IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
92. Automatic Detection of Melanoma Skin Cancer using Texture Analysis
    Mai Said Mabrouk, Mariam Ahmed Sheha, Amr A. Sharawy · 2012 · International Journal of Computer Applications
93. Improving forecasts of GARCH family models with the artificial neural networks: An application to the daily returns in Istanbul Stock Exchange
    Melike Elif Bildirici, Özgür Ömer Ersin · 2008 · Expert Systems with Applications
94. Flood frequency analysis at ungauged sites using artificial neural networks in canonical correlation analysis physiographic space
    C. Shu, Taha B. M. J. Ouarda · 2007 · Water Resources Research
95. The challenge for genetic epidemiologists: how to analyze large numbers of SNPs in relation to complex diseases
    A. Geert Heidema, Jolanda M.A. Boer, Nico J. D. Nagelkerke, Edwin C.M. Mariman, Daphne L. van der A, Edith J. M. Feskens · 2006 · BMC Genetics
96. Inferring body pose without tracking body parts
    R. Rosales, Stan Sclaroff · 2002 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
97. Fast and Robust Spatially Constrained Gaussian Mixture Model for Image Segmentation
    Thanh Minh Nguyen, Q. M. Jonathan Wu · 2012 · IEEE Transactions on Circuits and Systems for Video Technology
98. Hybrid Recommender System based on Autoencoders
    Florian Strub, Romaric Gaudel, Jérémie Mary · 2016
99. Scoring of tumor-infiltrating lymphocytes: From visual estimation to machine learning
    Frederick Klauschen, K. Robert Müller, Alexander Binder, Michael Ludwig Bockmayr, Miriam Hägele, Philipp Seegerer, Stephan Wienert, Giancarlo Pruneri, Sandra Demaria, Sunil Badve et al. · 2018 · Seminars in Cancer Biology
100. Optimal Ordered Problem Solver
     Jürgen Schmidhuber · 2004 · Machine Learning