Neural Networks for Pattern Recognition

Cited by (1,026)

Items 201–300 of 1,026

1. Automated processing of the single-lead electrocardiogram for the detection of obstructive sleep apnoea
   Philip de Chazal, Conor Heneghan, Emily Sheridan, Richard B. Reilly, Philip Nolan, Mark O’Malley · 2003 · IEEE Transactions on Biomedical Engineering
2. Neural Network Modeling for Near Wall Turbulent Flow
   Michele Milano, Petros Koumoutsakos · 2002 · Journal of Computational Physics
3. Surface EMG in advanced hand prosthetics
   Claudio Castellini, Patrick van der Smagt · 2008 · Biological Cybernetics
4. Multiple surrogates: how cross-validation errors can help us to obtain the best predictor
   Felipe Antonio Chegury Viana, Raphael T. Haftka, Valder Steffen · 2009 · Structural and Multidisciplinary Optimization
5. Cancer Diagnosis Using Deep Learning: A Bibliographic Review
   Khushboo Munir, Hassan Elahi, Afsheen Ayub, Fabrizio Frezza, Antonello Rizzi · 2019 · Cancers
6. Time Series Forecasting with Neural Networks: A Comparative Study Using the Air Line Data
   Julian J. Faraway, Chris Chatfield · 1998 · Journal of the Royal Statistical Society Series C (Applied Statistics)
7. Untitled work
   Carretero · 1998 · 10.1175/1520-0477(1998)079
8. AERONET-OC: A Network for the Validation of Ocean Color Primary Products
   Giuseppe Zibordi, Frédéric Mélin, Jean‐François Berthon et al. · 2009 · Journal of Atmospheric and Oceanic Technology
9. A Primer on Pattern-Based Approaches to fMRI: Principles, Pitfalls, and Perspectives
   Haynes, John-Dylan · 2015 · Neuron
10. Machine Learning for Detection and Diagnosis of Disease
    Paul Sajda · 2006 · Annual Review of Biomedical Engineering
11. Comparison of Classification Algorithms and Training Sample Sizes in Urban Land Classification with Landsat Thematic Mapper Imagery
    Congcong Li, Jie Wang, Lei Wang, Luanyun Hu, Peng Gong · 2014 · Remote Sensing
12. CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE
    Hussein A. Abdou, John Pointon · 2011 · Intelligent systems in accounting, finance and management/Intelligent systems in accounting, finance & management
13. Kriging Is Well-Suited to Parallelize Optimization
    David Ginsbourger, Rodolphe Le Riche, Laurent Carraro · 2010 · Adaptation, learning, and optimization
14. Classification, Parameter Estimation and State Estimation
    Ferdinand van der Heijden, Robert P. W. Duin, D. de Ridder · 2004 · Wiley eBooks
15. Empirical Asset Pricing via Machine Learning
    Shihao Gu, Bryan Kelly, Dacheng Xiu · 2018 · National Bureau of Economic Research
16. Accurate identification of motor unit discharge patterns from high-density surface EMG and validation with a novel signal-based performance metric.
    Holobar, A, Minetto, M A, Farina, D · 2014 · Journal of Neural Engineering
17. Linear Versus Nonlinear PCA for the Classification of Hyperspectral Data Based on the Extended Morphological Profiles
    Giorgio Licciardi, Prashanth Marpu, Jocelyn Chanussot · 2011 · IEEE Geoscience and Remote Sensing Letters
18. Machine learning strategies for systems with invariance properties
    Julia Ling, Reese E. Jones, Jeremy Alan Templeton · 2016 · Journal of Computational Physics
19. Motion texture
    Yan Li, Tianshu Wang, Heung‐Yeung Shum · 2002 · ACM SIGGRAPH Conference (SIGGRAPH)
20. Optic Nerve Head Segmentation
    J. Lowell, Andrew Hunter, DAVID H. STEEL · 2004 · IEEE Transactions on Medical Imaging
21. Rapid identification of urinary tract infection bacteria using hyperspectral whole-organism fingerprinting and artificial neural networks
    Royston Goodacre, Éadaoin M. Timmins, Rebecca Burton, Naheed Kaderbhai, Andrew M. Woodward, Douglas Bruce Kell, Paul J. Rooney · 1998 · Microbiology
22. Discriminative Semi-Supervised Feature Selection Via Manifold Regularization
    Zenglin Xu, Irwin King, Michael Rung-Tsong Lyu, Rong Jin · 2010 · IEEE Transactions on Neural Networks
23. Data mining and machine learning in astronomy
    BALL, NICHOLAS M., BRUNNER, ROBERT J. · 2010 · International Journal of Modern Physics D
24. Performance evaluation of different machine learning techniques for prediction of heart disease
    Ashok Kumar Dwivedi · 2016 · Neural Computing and Applications
25. Flavors of protein disorder
    Slobodan Vučetić, Celeste J. Brown, A. Keith Dunker, Zoran Obradovic A · 2003 · Proteins Structure Function and Bioinformatics
26. Pest identification via deep residual learning in complex background
    Xi Cheng, Youhua Zhang, Yiqiong Chen, Yunzhi Wu, Yi Yue · 2017 · Computers and Electronics in Agriculture
27. Real-time EEG analysis with subject-specific spatial patterns for a brain-computer interface (BCI)
    Christoph Guger, Herbert Ramoser, Gert Pfurtscheller · 2000 · IEEE Transactions on Rehabilitation Engineering
28. Performance Enhancement of MEMS-Based INS/GPS Integration for Low-Cost Navigation Applications
    Aboelmagd M. Noureldin, Tashfeen B. Karamat, Mark Eberts · 2009 · IEEE Transactions on Vehicular Technology
29. Adaptive Probabilistic Networks with Hidden Variables
    John Binder, Daphne Koller, Stuart Russell · 1997 · Machine Learning
30. Wind power forecasting : state-of-the-art 2009.
    C. Monteiro, R. Bessa, Vladimiro Miranda, A. Botterud, Jian-Hui Wang, G. Conzelmann, Inesc Porto · 2009
31. Metalearning: A survey of trends and technologies
    Lemke, Christiane, Budka, Marcin, Gabrys, Bogdan · 2015 · Artificial Intelligence Review
32. Evolving Fuzzy-Rule-Based Classifiers From Data Streams
    Plamen Parvanov Angelov, Xiaowei Zhou · 2008 · IEEE Transactions on Fuzzy Systems
33. Competitive learning with floating-gate circuits
    Daniel Hsu, Miguel E. Figueroa, Chris Diorio · 2002 · IEEE Transactions on Neural Networks
34. Accelerating exact k -means algorithms with geometric reasoning
    Dan Pelleg, Andrew Moore · 1999 · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
35. Age of Acquisition Effects in Word Reading and Other Tasks
    Jason D. Zevin, Mark S. Seidenberg · 2002 · Journal of Memory and Language
36. Feature selection with dynamic mutual information
    Huawen Liu, Jigui Sun, Lei Liu · 2008 · Pattern Recognition
37. A review of advanced machine learning methods for the detection of biotic stress in precision crop protection
    Jan Behmann, Anne‐Katrin Mahlein, Till Rumpf, Christoph Römer, Lutz Plümer · 2014 · Precision Agriculture
38. Representing Musical Genre: A State of the Art
    Jean‐Julien Aucouturier, F. Pachet · 2003 · Journal of New Music Research
39. Distributed Seeking of Nash Equilibria With Applications to Mobile Sensor Networks
    Miloš S. Stanković, Karl Henrik Johansson, Dušan M. Stipanović · 2011 · IEEE Transactions on Automatic Control
40. Model selection in neural networks
    Ulrich Anders, Olaf Korn · 1999 · Neural Networks
41. Short-term memory for serial order: A recurrent neural network model.
    Matthew Botvinick, David C. Plaut · 2006 · Psychological Review
42. A Hybrid Approach to Detect and Localize Texts in Natural Scene Images
    Yifeng Pan, Xinwen Hou, Chenglin Liu · 2010 · IEEE Transactions on Image Processing
43. Prediction of Human Intestinal Absorption of Drug Compounds from Molecular Structure
    Matthew D. Wessel, Peter C. Jurs, John W. Tolan, Steven M. Muskal · 1998 · Journal of Chemical Information and Computer Sciences
44. Artificial Immune Recognition System (AIRS): An Immune-Inspired Supervised Learning Algorithm
    Andrew Watkins, Jon Timmis, Lois Boggess · 2004 · Genetic Programming and Evolvable Machines
45. General fuzzy min-max neural network for clustering and classification
    Bogdan Gabryś, A Bargiela · 2000 · IEEE Transactions on Neural Networks
46. Support Vector Machines for Automated Recognition of Obstructive Sleep Apnea Syndrome From ECG Recordings
    Ahsan Habib Khandoker, Marimuthu Swami Palaniswami, Chandan Kumar Karmakar · 2008 · IEEE Transactions on Information Technology in Biomedicine
47. Constructing models for content-based image retrieval
    C. Schmid · 2005 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
48. DeepMutation: Mutation Testing of Deep Learning Systems
    Lei Ma, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Felix Juefei-Xu, Chao Xie, Li Li, Yang Liu, Jianjun Zhao et al. · 2018 · Proceedings/Proceedings - International Symposium on Software Reliability Engineering
49. A Survey of Outlier Detection Methodologies
    Hodge, Victoria, Austin, Jim · 2004 · Artificial Intelligence Review
50. Global patterns in base flow index and recession based on streamflow observations from 3394 catchments
    Hylke E. Beck, Albert I. J. M. van Dijk, Diego G. Miralles, Richard de Jeu, Leendert Adrian Bruijnzeel, Tim R. McVicar, Jaap Schellekens · 2013 · Water Resources Research
51. LSTM-Based EEG Classification in Motor Imagery Tasks
    Ping Wang, Aimin Jiang, Xiaofeng Liu, Jing Shang, Li Zhang · 2018 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
52. Data-Based Models for the Prediction of Dam Behaviour: A Review and Some Methodological Considerations
    Fernando Salazar, Rafael Morán Moya, Miguel Ángel Toledo, Eugenio Oñate · 2015 · Archives of Computational Methods in Engineering
53. Downscaling heavy precipitation over the United Kingdom: a comparison of dynamical and statistical methods and their future scenarios
    Malcolm R. Haylock, Gavin C. Cawley, Colin Harpham · 2006 · International Journal of Climatology
54. Data Fusion and Remote Sensing: An ever-growing relationship
    Michael Schmitt, Xiao Xiang Zhu · 2016 · IEEE Geoscience and Remote Sensing Magazine
55. Maritime Traffic Monitoring Based on Vessel Detection, Tracking, State Estimation, and Trajectory Prediction
    Lokukaluge Prasad Perera, Paulo Oliveira, Carlos Guedes Soares · 2012 · IEEE Transactions on Intelligent Transportation Systems
56. Support Vector Machine Classifier With Pinball Loss
    Xiaolin Huang, Lei Shi, Johan A. K. Suykens · 2013 · IEEE Transactions on Pattern Analysis and Machine Intelligence
57. Bayesian Network Classifiers
    Moisés Goldszmidt · 2011 · Wiley Encyclopedia of Operations Research and Management Science
58. Prediction of respiratory tumour motion for real-time image-guided radiotherapy
    Gregory Charles Sharp, Steve B Jiang, Shinichi Shimizu · 2004 · Physics in Medicine and Biology
59. Clustering Algorithms in Biomedical Research: A Review
    Rui Xu, Donald C. Wunsch · 2010 · IEEE Reviews in Biomedical Engineering
60. Electronic Nose and Its Applications: A Survey
    Diclehan Ulucan, Oguzhan Ulucan, Mehmet Türkan · 2019 · Machine Intelligence Research
61. Learning low-level vision
    William T. Freeman, Egon C. Pasztor · 1999 · IEEE/CVF International Conference on Computer Vision (ICCV)
62. A novel evolutionary data mining algorithm with applications to churn prediction
    Wai-Ho Au, Chan, K.C.C., Xin Yao · 2003 · IEEE Transactions on Evolutionary Computation
63. Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry
    Michael C. Mozer, Richard H. Wolniewicz, David B. Grimes · 2000 · IEEE Transactions on Neural Networks
64. Machine Learning in Healthcare: A Review
    Shailaja, K., Seetharamulu, B., Jabbar, M. A. · 2018 · 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA)
65. RainForest—A Framework for Fast Decision Tree Construction of Large Datasets
    Johannes E. Gehrke, Raghu Ramakrishnan, Venkatesh Ganti · 2000 · Data Mining and Knowledge Discovery
66. Structural graph matching using the EM algorithm and singular value decomposition
    Bin Luo, Edwin R. Hancock · 2001 · IEEE Transactions on Pattern Analysis and Machine Intelligence
67. Iterative RELIEF for Feature Weighting: Algorithms, Theories, and Applications
    Yijun Sun · 2007 · IEEE Transactions on Pattern Analysis and Machine Intelligence
68. VFISV: Very Fast Inversion of the Stokes Vector for the Helioseismic and Magnetic Imager
    J. M. Borrero, S. Tomczyk, Masahito Kubo · 2010 · Solar Physics
69. Adaptive boosting for SAR automatic target recognition
    Yijun Sun, Zhipeng Liu, Siniša Todorović, Jian Li · 2007 · IEEE Transactions on Aerospace and Electronic Systems
70. Recent progress of chatter prediction, detection and suppression in milling
    Lida Zhu, Changfu Liu · 2020 · Mechanical Systems and Signal Processing
71. Language Acquisition and Use: Learning and Applying Probabilistic Constraints
    Seidenberg, Mark S. · 1997 · Science
72. Cascaded multiple classifiers for secondary structure prediction
    Mohammed Ouali, Ross D. King · 2000 · Protein Science
73. Principled Hybrids of Generative and Discriminative Models
    Julia Lasserre, C.M. Bishop, Thomas P. Minka · 2006 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
74. Artificial Neural Networks
    Ajith Abraham · 2005 · Wiley eBooks
75. Recurrent least squares support vector machines
    Johan A. K. Suykens, Joos P. L. Vandewalle · 2000 · IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications
76. An Aggregation Approach to Short-Term Traffic Flow Prediction
    Manchun Tan, S.C. Wong, Jianmin Xu, Zhan-Rong Guan, Peng Zhang · 2009 · IEEE Transactions on Intelligent Transportation Systems
77. Structural Minimax Probability Machine
    Bin Gu, Xingming Sun, Victor S. Sheng · 2016 · IEEE Transactions on Neural Networks and Learning Systems
78. The dynamics of collapse in world fisheries
    Christian Mullon, Pierre Fréon, Philippe M. Cury · 2005 · Fish and Fisheries
79. Estimating diurnal to annual ecosystem parameters by synthesis of a carbon flux model with eddy covariance net ecosystem exchange observations
    BOBBY H. BRASWELL, William J. Sacks, Ernst Linder · 2005 · Global Change Biology
80. A novel kernel method for clustering
    Francesco Camastra, Alessandro Verri · 2005 · IEEE Transactions on Pattern Analysis and Machine Intelligence
81. Neural networks for oil spill detection using ERS-SAR data
    Fabio Del Frate, Andrea Petrocchi, J. Lichtenegger · 2000 · IEEE Transactions on Geoscience and Remote Sensing
82. Explaining derivational morphology as the convergence of codes
    Mark S. Seidenberg, Mark S. Seidenberg, Laura M. Gonnerman · 2000 · Trends in Cognitive Sciences
83. Handwritten Numeral Databases of Indian Scripts and Multistage Recognition of Mixed Numerals
    Ujjwal Bhattacharya, B.B. Chaudhuri · 2009 · IEEE Transactions on Pattern Analysis and Machine Intelligence
84. Learning to see
    Tomaso Poggio, David Beymer · 1996 · IEEE Spectrum
85. High-dimensional neural network potentials for metal surfaces: A prototype study for copper
    Nongnuch Artrith, Jörg Behler · 2012 · Physical Review B
86. An introduction to the use of neural networks in control systems
    Martin Hagan, Howard B. Demuth, Orlando De Jesús · 2002 · International Journal of Robust and Nonlinear Control
87. Estimating the bias field of MR images
    R. Guillemaud, Michael Brady · 1997 · IEEE Transactions on Medical Imaging
88. Interatomic potential for studying ageing under irradiation in stainless steels: the FeNiCr model alloy
    G. Bonny, Nicolas Castin, D. A. Terentyev · 2013 · Modelling and Simulation in Materials Science and Engineering
89. Ensemble of Metamodels with Optimized Weight Factors
    Erdem Acar, M. Rais-Rohani · 2008 · Structural and Multidisciplinary Optimization
90. Soft sensing modeling based on support vector machine and Bayesian model selection
    Weiwu Yan, Huihe Shao, Xiaofan Wang · 2004 · Computers & Chemical Engineering
91. Power quality disturbance waveform recognition using wavelet-based neural classifier. I. Theoretical foundation
    Surya Santoso, Edward J. Powers, William Mack Grady, Antony C. Parsons · 2000 · IEEE Transactions on Power Delivery
92. Comparative Analysis of Spectral Approaches to Feature Extraction for EEG-Based Motor Imagery Classification
    Pawel Andrzej Herman, Girijesh Prasad, T.M. McGinnity, Damien Coyle · 2008 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
93. HFirst: A Temporal Approach to Object Recognition
    Garrick Orchard, Cédric Meyer, Ralph Etienne‐Cummings, C. Posch, Nitish V. Thakor, Ryad Benjamin Benosman · 2015 · IEEE Transactions on Pattern Analysis and Machine Intelligence
94. Learning words from sights and sounds: A computational model
    Roy, Deb K., Pentland, Alex P. · 2002 · Cognitive Science
95. Neural Networks in R Using the Stuttgart Neural Network Simulator: RSNNS
    Christoph Bergmeir, José M. Benítez · 2012 · Journal of Statistical Software
96. Bayesian approaches to Gaussian mixture modeling
    Stephen Roberts, Dirk Husmeier, Iead A Rezek · 1998 · IEEE Transactions on Pattern Analysis and Machine Intelligence
97. Semisupervised Neural Networks for Efficient Hyperspectral Image Classification
    Frédéric Ratle, Gustau Camps‐Valls, Jason Weston · 2010 · IEEE Transactions on Geoscience and Remote Sensing
98. Sparse approximation using least squares support vector machines
    Johan A. K. Suykens, Lukas Lukas, Joos P. L. Vandewalle · 2002 · IEEE International Symposium on Circuits and Systems proceedings
99. “Learn on the Fly”: A Hybrid Classical and Quantum-Mechanical Molecular Dynamics Simulation
    Gábor Cśanyi, Tristan Albaret, Mike C. Payne, Alessandro De Vita · 2004 · Physical Review Letters
100. Automated Posture Analysis for Detecting Learner's Interest Level
     Selene Mota, Rosalind W. Picard · 2003 · IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)