Neural Networks for Pattern Recognition

Cited by (1,026)

Items 601–700 of 1,026

1. Artificial Neural Network Modeling of Novel Coronavirus (COVID-19) Incidence Rates across the Continental United States
   Abolfazl Mollalo, Kiara M. Rivera, Behzad Vahedi · 2020 · International Journal of Environmental Research and Public Health
2. Active Learning for Regression Based on Query by Committee
   Robert Burbidge, J J Rowland, Ross D. King · 2007 · Springer eBooks
3. Prediction of Stock Market Index Movement by Ten Data Mining Techniques
   Phichhang Ou, Hengshan Wang · 2009 · Modern Applied Science
4. A Modular Fault-Diagnostic System for Analog Electronic Circuits Using Neural Networks With Wavelet Transform as a Preprocessor
   Mehran Aminian, Farzan Aminian · 2007 · IEEE Transactions on Instrumentation and Measurement
5. A Bayesian Network for Flood Detection Combining SAR Imagery and Ancillary Data
   Annarita D’Addabbo, Alberto Refice, G. Pasquariello · 2016 · IEEE Transactions on Geoscience and Remote Sensing
6. Artificial neural network based modelling approach for municipal solid waste gasification in a fluidized bed reactor
   Daya Shankar Pandey, Saptarshi Das, Indranil Pan · 2016 · Waste Management
7. Seismic fragility analysis with artificial neural networks: Application to nuclear power plant equipment
   Zhiyi Wang, Nicola Pedroni, Irmela Zentner · 2018 · Engineering Structures
8. The Political Economy of Women's Support for Fundamentalist Islam
   Lisa Blaydes, Drew A. Linzer · 2008 · World Politics
9. Fusing Images With Different Focuses Using Support Vector Machines
   S. Li, James Tin-Yau Kwok, Ivor Wai-Hung Tsang · 2004 · IEEE Transactions on Neural Networks
10. An Automated Technique to Quality Control Radar Reflectivity Data
    Valliappa Lakshmanan, Angela Fritz, Travis M. Smith · 2007 · Journal of Applied Meteorology and Climatology
11. Artificial neural networks: an efficient tool for modelling and optimization of biofuel production (a mini review)
    Yeshona Sewsynker-Sukai, Funmilayo D. Faloye, Evariste B. Gueguim Kana · 2016 · Biotechnology & Biotechnological Equipment
12. Energy clearing price prediction and confidence interval estimation with cascaded neural networks
    Li Zhang, Peter B. Luh, K. Kasiviswanathan · 2003 · IEEE Transactions on Power Systems
13. Multisensory temporal order judgments: When two locations are better than one
    Charles J. Spence, Roland Baddeley, Massimiliano Zampini, Robert L. James, David I. Shore · 2003 · Perception & Psychophysics
14. Decision support system for heart disease based on support vector machine and Artificial Neural Network
    Mrudula Gudadhe, Kapil Keshao Wankhade, Snehlata Dongre · 2010 · International Conference on Computer and Communication Technology
15. Data driven prognostics using a Kalman filter ensemble of neural network models
    Leto Peel · 2008 · International Conference on Prognostics and Health Management (PHM)
16. Colloquium : Control of dynamics in brain networks
    Evelyn Tang, Danielle S. Bassett · 2018 · Reviews of Modern Physics
17. Predicting Outcome of Endovascular Treatment for Acute Ischemic Stroke: Potential Value of Machine Learning Algorithms
    Hendrikus J. A. van Os, Lucas A. Ramos, Adam Hilbert, Matthijs van Leeuwen, Marianne A.A. van Walderveen, Nyika D. Kruyt, Diederik W.J. Dippel, Ewout Willem Steyerberg, Irene C. van der Schaaf, Hester Floor Lingsma et al. · 2018 · Frontiers in Neurology
18. A model for estimating social and economic indicators of sustainable development
    Nataliya Dalevska, Валентина Михайлівна Хобта, Aleksy S. Kwilinski, Sergey Kravchenko · 2019 · Journal of Entrepreneurship and Sustainability Issues
19. Use of Neural Networks for Automatic Classification From High-Resolution Images
    Fabio Del Frate, Fabio Pacifici, Giovanni Schiavon · 2007 · IEEE Transactions on Geoscience and Remote Sensing
20. Two highly efficient second-order algorithms for training feedforward networks
    Nicholas Ampazis, Stavros J. Perantonis · 2002 · IEEE Transactions on Neural Networks
21. Online INS/GPS integration with a radial basis function neural network
    Rashad Sharaf, Aboelmagd M. Noureldin, Ahmed H. Osman, Naser El‐Sheimy · 2005 · IEEE Aerospace and Electronic Systems Magazine
22. Sequence‐based prediction of pathological mutations
    Carles Ferrer‐Costa, Modesto Orozco, Xavier de la Cruz · 2004 · Proteins Structure Function and Bioinformatics
23. Sleep Apnea Screening by Autoregressive Models From a Single ECG Lead
    Martin Oswaldo Mendez, Anna Maria Bianchi, Matteo Matteucci, S. Cerutti, Thomas Penzel · 2009 · IEEE Transactions on Biomedical Engineering
24. Uncooled Thermal Camera Calibration and Optimization of the Photogrammetry Process for UAV Applications in Agriculture
    Krishna Ribeiro Gomes, David Hernández‐López, José Fernando Ortega Álvarez · 2017 · Sensors
25. Automated fruit recognition using EfficientNet and MixNet
    Linh T. Duong, Phuong T. Nguyen, Claudio Di Sipio, Davide Di Ruscio · 2020 · Computers and Electronics in Agriculture
26. Multi-Method Analysis of Medical Records and MRI Images for Early Diagnosis of Dementia and Alzheimer’s Disease Based on Deep Learning and Hybrid Methods
    B. Mohammed, Ebrahim Mohammed Senan, T. H. Rassem, Nasrin M. Makbol, A. Alanazi, Z. Al-Mekhlafi, Tariq S. Almurayziq, Fuad A. Ghaleb · 2021 · Electronics
27. A technique for the selection of kernel-function parameters in RBF neural networks for classification of remote-sensing images
    Lorenzo Bruzzone, D.F. Prieto · 1999 · IEEE Transactions on Geoscience and Remote Sensing
28. Developmental increases in white matter network controllability support a growing diversity of brain dynamics
    Evelyn Tang, Chad Giusti, Graham L. Baum, Shi Gu, Eli Pollock, Ari E. Kahn, David R. Roalf, Tyler M. Moore, Kosha Ruparel, Ruben C. Gur et al. · 2017 · RePEc: Research Papers in Economics
29. Learning Understandable Neural Networks With Nonnegative Weight Constraints
    Jan Chorowski, Jacek M. Żurada · 2014 · IEEE Transactions on Neural Networks and Learning Systems
30. A metabolome pipeline: from concept to data to knowledge
    Marie Brown, Warwick B. Dunn, David I. Ellis, Royston Goodacre, Julia Handl, Joshua D. Knowles, Steve O’Hagan, ‪Irena Spasić, Douglas Bruce Kell · 2005 · Metabolomics
31. Estimating Driving Performance Based on EEG Spectrum Analysis
    Chin‐Teng Lin, Ruei-Cheng Wu, Tzyy‐Ping Jung, Sheng‐Fu Liang, Teng‐Yi Huang · 2005 · EURASIP Journal on Advances in Signal Processing
32. Prediction of amphipathic in-plane membrane anchors in monotopic proteins using a SVM classifier
    Nicolas Sapay, Yann Guermeur, Gilbert Deléage · 2006 · BMC Bioinformatics
33. Computer vision for microscopy diagnosis of malaria
    Faik Boray TEK, Andrew Graham Dempster, İzzet Kale · 2009 · Malaria Journal
34. Wind farm power prediction: a data‐mining approach
    Andrew Kusiak, Haiyang Zheng, Zhe Song · 2008 · Wind Energy
35. A Data-Driven Method for Energy Consumption Prediction and Energy-Efficient Routing of Electric Vehicles in Real-World Conditions
    Cedric De Cauwer, Wouter Verbeke, Thierry Coosemans, Saphir Faid, Joeri Van Mierlo · 2017 · Energies
36. Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs
    Szilárd Vajda, Alexandros Karargyris, Stefan Jaeger, KC Santosh, Sema Candemir, Zhiyun Xue, Sameer Antani, George R. Thoma · 2018 · Journal of Medical Systems
37. Multivariate Analysis
    Richard A. Johnson, Dean W. Wichern · 2005 · Encyclopedia of Statistical Sciences
38. Noninvasive Neural Prostheses Using Mobile and Wireless EEG
    Chin‐Teng Lin, Li‐Wei Ko, Jin‐Chern Chiou, Jeng‐Ren Duann, Ruey‐Song Huang, Sheng‐Fu Liang, Tzai-Wen Chiu, Tzyy‐Ping Jung · 2008 · Proceedings of the IEEE
39. Sensitivity Versus Accuracy in Multiclass Problems Using Memetic Pareto Evolutionary Neural Networks
    Juan Carlos Fernández Fernández, Francisco Jose Martinez, César Hervás‐Martínez, Pedro Antonio Gutiérrez · 2010 · IEEE Transactions on Neural Networks
40. A hybrid model for spatially and temporally resolved ozone exposures in the continental United States
    Qian Di, Sebastian Thonet Rowland, Petros Koutrakis, Joel David Schwartz · 2016 · Journal of the Air & Waste Management Association
41. Ultrasound image segmentation and tissue characterization
    Julia Alison Noble · 2009 · Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine
42. Feature extraction using information-theoretic learning
    Kenneth E. Hild, Deniz Erdogmus B, K. Torkkola, José Carlos Príncipe · 2006 · IEEE Transactions on Pattern Analysis and Machine Intelligence
43. One-Class Classification for Mapping a Specific Land-Cover Class: SVDD Classification of Fenland
    Carolina Sanchez‐Hernandez, Doreen S. Boyd, Giles M. Foody · 2007 · IEEE Transactions on Geoscience and Remote Sensing
44. Social Control of Hypothalamus-Mediated Male Aggression
    Taehong Yang, Cindy F. Yang, Mojtaba Chizari, Niru Maheswaranathan, Kenneth J. Burke, Maxim Borius, Sayaka Inoue, Michael C. Chiang, Kevin J. Bender, Surya Ganguli et al. · 2017 · Neuron
45. Nonlinear Principal Component Analysis: Neural Network Models and Applications
    Matthias Scholz, Martin J. Fraunholz, Joachim Selbig · 2007 · Lecture notes in computational science and engineering
46. Training a neural-network based intrusion detector to recognize novel attacks
    Susan C. Lee, D.V. Heinbuch · 2001 · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans
47. Combining solar irradiance measurements, satellite-derived data and a numerical weather prediction model to improve intra-day solar forecasting
    Luis Mazorra-Aguiar, Bruno Pereira, Philippe Lauret, F. Díaz, Mathieu David · 2016 · Renewable Energy
48. Experimentation in mathematics: computational paths to discovery
    Jonathan Michael Borwein, David H. Bailey, J. Borwein · 2004 · Choice Reviews Online
49. Applicability of statistical learning algorithms in groundwater quality modeling
    Abedalrazq F. Khalil, Mohammad N. Almasri, Mac McKee, Jagath J. Kaluarachchi · 2005 · Water Resources Research
50. Prediction Interval Estimation of Electricity Prices Using PSO-Tuned Support Vector Machines
    Nitin Anand Shrivastava, Abbas Khosravi, Bijaya Ketan Panigrahi · 2015 · IEEE Transactions on Industrial Informatics
51. Local learning‐based adaptive soft sensor for catalyst activation prediction
    Petr Kadlec, Bogdan Gabryś · 2010 · AIChE Journal
52. Neural Network Forecasting of Tourism Demand
    Sen Cheong Kon, Lindsay W. Turner · 2005 · Tourism Economics
53. Thermodynamically consistent physics-informed neural networks for hyperbolic systems
    Ravi G. Patel, Indu Manickam, Nathaniel Trask, Mitchell A. Wood, Myoungkyu Lee, Ignacio Tomaš, Eric C. Cyr · 2021 · Journal of Computational Physics
54. Multiclass least squares support vector machines
    Johan A. K. Suykens, Joos P. L. Vandewalle · 2003 · 2022 International Joint Conference on Neural Networks (IJCNN)
55. Variational Bayes for generalized autoregressive models
    Roberts, S.J., Penny, W.D. · 2002 · IEEE Transactions on Signal Processing
56. Neural networks and landslide susceptibility: a case study of the urban area of Potenza
    Donatella Caniani, Stefania De Pascale, Francesco Sdao · 2007 · Natural Hazards
57. Avoiding Pitfalls in Neural Network Research
    Gongbo Zhang · 2006 · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)
58. Coding Programmable Metasurfaces Based on Deep Learning Techniques
    Tao Shan, Xiaotian Pan, Maokun Li, Shenheng Xu, Fan Yang · 2020 · IEEE Journal on Emerging and Selected Topics in Circuits and Systems
59. Unsupervised Multi-Omics Data Integration Methods: A Comprehensive Review
    Nasim Vahabi, George C. Michailidis · 2022 · Frontiers in Genetics
60. One class random forests
    Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte · 2013 · Pattern Recognition
61. Artificial Neural Networks for Control of a Grid-Connected Rectifier/Inverter Under Disturbance, Dynamic and Power Converter Switching Conditions
    Shuhui Li, Michael Fairbank, Cameron Johnson · 2013 · IEEE Transactions on Neural Networks and Learning Systems
62. A comparision of interpolation methods for producing digital elevation models at the field scale
    Saffet Erdoğan · 2009 · Earth Surface Processes and Landforms
63. A Hierarchical Approach Using Machine Learning Methods in Solar Photovoltaic Energy Production Forecasting
    Zhaoxuan Li, SM Rahman, Rolando E. Vega · 2016 · Energies
64. Automated Chest X-Ray Screening: Can Lung Region Symmetry Help Detect Pulmonary Abnormalities?
    KC Santosh, Sameer Antani · 2017 · IEEE Transactions on Medical Imaging
65. Comparative evaluation of machine learning models for groundwater quality assessment
    Shine Bedi, Ashok K. Samal, Chittaranjan Ray, Daniel D. Snow · 2020 · Environmental Monitoring and Assessment
66. VISUAL BACKGROUND COMPLEXITY FACILITATES THE EVOLUTION OF CAMOUFLAGE
    Sami Merilaita · 2003 · Evolution
67. FPGA Implementation of the Multilayer Neural Network for the Speed Estimation of the Two-Mass Drive System
    Teresa Orłowska-Kowalska, Marcin Kamiński · 2011 · IEEE Transactions on Industrial Informatics
68. Estimates of Water-Column Nutrient Concentrations and Carbonate System Parameters in the Global Ocean: A Novel Approach Based on Neural Networks
    Raphaëlle Sauzède, Henry C. Bittig, Hervé Claustre · 2017 · Frontiers in Marine Science
69. High‐Resolution Global Contiguous SIF of OCO‐2
    Longlong Yu, Jiaming Wen, Christine Yao-Yun Chang, Christian Frankenberg, Ying Sun · 2018 · Geophysical Research Letters
70. The evidence framework applied to support vector machines
    James Tin-Yau Kwok · 2000 · IEEE Transactions on Neural Networks
71. Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain
    Eneldo Loza Mencía, Johannes Fürnkranz · 2008 · Lecture notes in computer science
72. Prediction of indoor temperature and relative humidity using neural network models: model comparison
    Tao Lü, Martti Viljanen · 2008 · Neural Computing and Applications
73. Galaxy types in the Sloan Digital Sky Survey using supervised artificial neural networks
    Nicholas M. Ball, Jon Loveday, M. Fukugita, Osamu Nakamura, Sadanori Okamura, J. Brinkmann, Róbert Brunner · 2004 · Monthly Notices of the Royal Astronomical Society
74. Estimating Risk and Rate Levels, Ratios and Differences\nin Case-Control Studies
    Gary King, Langche Zeng · 2002 · Digital Access to Scholarship at Harvard (DASH) (Harvard University)
75. Automatic semantics extraction in law documents
    Carlo Biagioli, Enrico Francesconi, Andrea Passerini, Simonetta Montemagni⋄, Claudia Soria · 2005 · International Conference on Artificial Intelligence and Law
76. Artificial neural network models for the prediction of surface roughness in electrical discharge machining
    Angelos P. Markopoulos, DIMITRIOS E. MANOLAKOS, Nikolaos M. Vaxevanidis · 2008 · Journal of Intelligent Manufacturing
77. Automated Multiclass Classification of Spontaneous EEG Activity in Alzheimer’s Disease and Mild Cognitive Impairment
    Saúl J. Ruiz-Gómez, Carlos Gómez, Jesús Poza, Gonzalo C. Gutiérrez‐Tobal, Miguel Ángel Tola-Arribas, Mónica Cano, Roberto Hornero · 2018 · Entropy
78. Development of Multimodal Machine Learning Potentials: Toward a Physics-Aware Artificial Intelligence
    Tetiana A. Zubatiuk, Olexandr Isayev · 2021 · Accounts of Chemical Research
79. Kernel-based methods and function approximation
    G. Baudat, F. Anouar · 2002 · 2022 International Joint Conference on Neural Networks (IJCNN)
80. Kalman Filtering of Hydraulic Measurements for Burst Detection in Water Distribution Systems
    Guoliang Ye, Richard Andrew Fenner · 2010 · Journal of Pipeline Systems Engineering and Practice
81. A parametric feature extraction and classification strategy for brain-computer interfacing
    D.P. Burke, Simon P. Kelly, Philip de Chazal, Richard B. Reilly, Ciarán Finucane · 2005 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
82. Bayesian neural network for rainfall‐runoff modeling
    Mohammad Sajjad Khan, Paulin Coulibaly · 2006 · Water Resources Research
83. Image Steganalysis Based on Moments of Characteristic Functions Using Wavelet Decomposition, Prediction-Error Image, and Neural Network
    Y.Q. Shi, Guorong Xuan, Dekun Zou · 2005 · IEEE International Conference on Multimedia and Expo (ICME)
84. Fault detection and identification in a mobile robot using multiple model estimation and neural network
    P. Goel, Göksel Dedeoǧlu, Stergios I. Roumeliotis · 2002 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
85. Combinations of Adaptive Filters: Performance and convergence properties
    Jerónimo Arenas‐García, Luis Antonio Azpicueta-Ruiz, Magno T. M. Silva · 2015 · IEEE Signal Processing Magazine
86. Neural edge enhancer for supervised edge enhancement from noisy images
    Kenji Suzuki, Isao Horiba, Noboru Sugie · 2003 · IEEE Transactions on Pattern Analysis and Machine Intelligence
87. A Class-Adaptive Spatially Variant Mixture Model for Image Segmentation
    Christophoros Nikou, Nikolaos P. Galatsanos, Aristidis C. Likas · 2007 · IEEE Transactions on Image Processing
88. Optimal Integrated Generation Bidding and Scheduling With Risk Management Under a Deregulated Power Market
    Ernan Ni, Peter B. Luh, S. Rourke · 2004 · IEEE Transactions on Power Systems
89. Generative versus Discriminative Methods for Object Recognition
    İlkay Ulusoy, C.M. Bishop · 2005 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
90. Soil Moisture Retrieval Using Neural Networks: Application to SMOS
    Nemesio Jose Rodríguez-Fernández, Filipe Aires, Philippe Richaume · 2015 · IEEE Transactions on Geoscience and Remote Sensing
91. Spatial and temporal characteristics of droughts in the western part of Bangladesh
    Shamsuddin Shahid · 2007 · Hydrological Processes
92. A case study of applying boosting naive bayes to claim fraud diagnosis
    Stijn Viaene, Richard A. Derrig, Guido Dedene · 2004 · IEEE Transactions on Knowledge and Data Engineering
93. Artificial neural network model for effective cancer classification using microarray gene expression data
    Ashok Kumar Dwivedi · 2016 · Neural Computing and Applications
94. Surrogate-Assisted Evolutionary Optimization Frameworks for High-Fidelity Engineering Design Problems
    Yew-Soon Ong, Prasanth B. Nair, Andy J. Keane · 2005 · Studies in fuzziness and soft computing
95. Methodological issues in building, training, and testing artificial neural networks in ecological applications
    Stacy L. Özesmi, Can Ozan Tan, Uygar Özesmi · 2006 · Ecological Modelling
96. Neural Network Studies. 4. Introduction to Associative Neural Networks
    Igor V. Tetko · 2002 · Journal of Chemical Information and Computer Sciences
97. Quantification and its Applications in Fluorescent Microscopy Imaging
    Nicholas Hamilton · 2009 · Traffic
98. Ensemble-Based Algorithm for Synchrophasor Data Anomaly Detection
    Mengze Zhou, Yuhui Wang, Anurag Kumar Srivastava, Yinghui Wu, Paramarshi Banerjee · 2018 · IEEE Transactions on Smart Grid
99. A survey of fuzzy clustering algorithms for pattern recognition. II
    Andrea Baraldi, Palma N. Blonda · 1999 · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
100. Multi-instance clustering with applications to multi-instance prediction
     Min-Ling Zhang, Zhi‐Hua Zhou · 2008 · Applied Intelligence