Neural Networks for Pattern Recognition

Cited by (1,026)

Items 701–800 of 1,026

1. Evaluation of computer-aided detection and diagnosis systemsa)
   Nicholas Petrick, Berkman Sahiner, Samuel G. Armato, Alberto Bert, Loredana Correale, Silvia Delsanto, Matthew T. Freedman, David Fryd, David Gur, Lubomir M. Hadjiiski et al. · 2013 · Medical Physics
2. Linear Optimality Theory as a Model of Gradience in Grammar
   Frank Keller · 2006 · Oxford University Press eBooks
3. Data strip mining for the virtual design of pharmaceuticals with neural networks
   Robert H. Kewley, Mark J. Embrechts, Curt M. Breneman · 2000 · IEEE Transactions on Neural Networks
4. Contextual reconstruction of cloud-contaminated multitemporal multispectral images
   Farid Melgani · 2006 · IEEE Transactions on Geoscience and Remote Sensing
5. Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis
   Wenlu Zhang, Rongjian Li, Tao Zeng, Qian Sun, Sudhir Kumar, Jieping Ye, Shuiwang Ji · 2016 · IEEE Transactions on Big Data
6. Neural network survival analysis for personal loan data
   Bart Baesens, Tony Van Gestel, M Stepanova · 2005 · Journal of the Operational Research Society
7. An Automated Artificial Neural Network System for Land Use/Land Cover Classification from Landsat TM Imagery
   Hui Min Yuan, Cynthia F. van der Wiele, Siamak Khorram · 2009 · Remote Sensing
8. Semantic Indexing of Multimedia Content Using Visual, Audio, and Text Cues
   W. Sam Adams, Giridharan Iyengar, Ching‐Yung Lin, Milind Naphade, C. Neti, Harriet J. Nock, John R. Smith · 2003 · EURASIP Journal on Advances in Signal Processing
9. Improving Quantitative Studies of International Conflict: A Conjecture
   Nathaniel L. Beck, Gary King, Langche Zeng · 2000 · American Political Science Review
10. Energy Based Acoustic Source Localization
    Xiaohong Sheng, Yu Hen Hu · 2003 · Lecture notes in computer science
11. Untitled work
    2001 · 10.1577/1548-8659(2001)130
12. Logistic regression has similar performance to optimised machine learning algorithms in a clinical setting: application to the discrimination between type 1 and type 2 diabetes in young adults
    Lynam, Anita L., Dennis, John M., Owen, Katharine R., Oram, Richard A., Jones, Angus G., Shields, Beverley M., Ferrat, Lauric A. · 2020 · Diagnostic and Prognostic Research
13. Memetic algorithm using multi-surrogates for computationally expensive optimization problems
    Zongzhao Zhou, Yew-Soon Ong, Meng Hiot Lim · 2006 · Soft Computing
14. A Comparative Study of Neural Networks and ANFIS for Forecasting Attendance Rate of Soccer Games
    Mehmet Şahin, Rızvan Erol · 2017 · Mathematical and Computational Applications
15. A Wearable EEG Instrument for Real-Time Frontal Asymmetry Monitoring in Worker Stress Analysis
    Pasquale Arpaïa, Nicola Moccaldi, Roberto Prevete, Isabella Sannino, Annarita Tedesco · 2020 · IEEE Transactions on Instrumentation and Measurement
16. Machine Learning and Smart Devices for Diabetes Management: Systematic Review
    Makroum, Mohammed Amine, Adda, Mehdi, Bouzouane, Abdenour, Ibrahim, Hussein · 2022 · Sensors
17. Identifying wildland fire ignition factors through sensitivity analysis of a neural network
    Christos Vasilakos, Kostas D. Kalabokidis, John N. Hatzopoulos, Ioannis Matsinos · 2008 · Natural Hazards
18. Generative Image Segmentation Using Random Walks with Restart
    Tae Hoon Kim, Kyoung Mu Lee, Sang Uk Lee · 2008 · Lecture notes in computer science
19. Learning bayesian classifiers for scene classification with a visual grammar
    Selim Aksoy, K. Koperski, Carsten Tusk, Giovanni Marchisio, James C. Tilton · 2005 · IEEE Transactions on Geoscience and Remote Sensing
20. A comparison of machine learning methods for cutting parameters prediction in high speed turning process
    Zoran Jurković, Goran Cukor, M. Brezočnik · 2016 · Journal of Intelligent Manufacturing
21. Inherent Structure-Based Multiview Learning With Multitemplate Feature Representation for Alzheimer's Disease Diagnosis
    Mingxia Liu, Daoqiang Zhang, Ehsan Adeli, Dinggang G. Shen · 2015 · IEEE Transactions on Biomedical Engineering
22. Artificial Neural Networks
    José Carlos Príncipe · 1997 · ˜The œelectrical engineering handbook/Electrical engineering handbook series/Electrical engineering handbook
23. Nuclear charge radii: density functional theory meets Bayesian neural networks
    R Utama, Wei-Chia Chen, J. Piekarewicz · 2016 · Journal of Physics G Nuclear and Particle Physics
24. Bayesian Support Vector Regression Using a Unified Loss Function
    W. Chu, S.S. Keerthi, C.J. Ong · 2004 · IEEE Transactions on Neural Networks
25. Predictive modelling and spatial mapping of freshwater fish and decapod assemblages using GIS and neural networks
    Michael Joy, Russell George Death · 2004 · Freshwater Biology
26. Balancing Privacy and Utility in Cross-Company Defect Prediction
    Fayola Peters, Tim Menzies, Liang Gong, Hongyu Zhang · 2013 · IEEE Transactions on Software Engineering
27. Neural network regularization and ensembling using multi-objective evolutionary algorithms
    Yaochu Jin, Tatsuya Okabe, Bernhard Sendhoff · 2004 · Congress on Evolutionary Computation
28. Unsupervised classification of satellite imagery: Choosing a good algorithm
    T. Duda, Morton John Canty · 2002 · International Journal of Remote Sensing
29. A support vector machine formulation to pca analysis and its kernel version
    Johan A. K. Suykens, Tony Van Gestel, Joos P. L. Vandewalle · 2003 · IEEE Transactions on Neural Networks
30. On-line learning of indoor temperature forecasting models towards energy efficiency
    Francisco Zamora-Martínez, Pablo Romeu, Paloma Botella-Rocamora · 2014 · Energy and Buildings
31. Learning Gaussian Conditional Random Fields for Low-Level Vision
    Marshall F. Tappen, Ce Liu, Edward H. Adelson, William T. Freeman · 2007 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
32. Principal component analysis of ensemble recordings reveals cell assemblies at high temporal resolution
    Adrien Peyrache, Karim Benchenane, Mehdi Khamassi, Sidney I. Wiener, Francesco Paolo Battaglia · 2009 · Journal of Computational Neuroscience
33. Converting Output Scores from Outlier Detection Algorithms into Probability Estimates
    Jing Gao, Pang‐Ning Tan · 2006 · Proceedings
34. Stacked Broad Learning System: From Incremental Flatted Structure to Deep Model
    Zhulin Liu, C. L. Philip Chen, Shuang Feng, Qiying Feng, Tong Zhang · 2020 · IEEE Transactions on Systems Man and Cybernetics Systems
35. Impact Location and Quantification on a Composite Panel using Neural Networks and a Genetic Algorithm
    Keith Worden, Wieslaw Jerzy Staszewski · 2000 · Strain
36. Compressed data cubes for OLAP aggregate query approximation on continuous dimensions
    Jayavel Shanmugasundaram, Usama M. Fayyad, Patricia Bradley · 1999 · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
37. Quantum Neural Networks
    Ezhov, Alexandr A., Ventura, Dan · 2000 · Studies in Fuzziness and Soft Computing
38. Probabilistic Multisite Precipitation Downscaling by an Expanded Bernoulli–Gamma Density Network
    Alex J. Cannon · 2008 · Journal of Hydrometeorology
39. Speaker recognition with polynomial classifiers
    William M. Campbell, Khaled T. Assaleh, Charles C. Broun · 2002 · IEEE Transactions on Speech and Audio Processing
40. Spatio‐Temporal Short‐Term Urban Traffic Volume Forecasting Using Genetically Optimized Modular Networks
    Eleni I. Vlahogianni, Matthew G. Karlaftis, John Golias · 2007 · Computer-Aided Civil and Infrastructure Engineering
41. Application of Machine Learning Approaches in Intrusion Detection System: A Survey
    Nutan Farah, Md. Avishek, Faisal Muhammad · 2015 · INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ARTIFICIAL INTELLIGENCE
42. A Unified Online Deep Learning Prediction Model for Small Signal and Transient Stability
    Syafiq Kamarul Azman, Younes J. Isbeih, Mohamed Shawky El Moursi, Khaled Elbassioni · 2020 · IEEE Transactions on Power Systems
43. Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes
    Jürgen Schmidhuber · 2009 · Lecture notes in computer science
44. ADVANCES IN BLIND SOURCE SEPARATION (BSS) AND INDEPENDENT COMPONENT ANALYSIS (ICA) FOR NONLINEAR MIXTURES
    Christian Jutten B, Juha Karhunen · 2004 · International Journal of Neural Systems
45. Empirical data modeling in software engineering using radial basis functions
    Miyoung Shin, A. L. Goel · 2000 · IEEE Transactions on Software Engineering
46. An Objective Model for Identifying Secondary Eyewall Formation in Hurricanes
    James P. Kossin, Matthew Sitkowski · 2008 · Monthly Weather Review
47. Avoiding common pitfalls in machine learning omic data science
    Teschendorff, Andrew E. · 2019 · Nature Materials
48. Neural Network Method for Solving Partial Differential Equations
    Lucie P. Aarts, Peter van der Veer · 2001 · Neural Processing Letters
49. Fire Risk Assessment Using Neural Network and Logistic Regression
    Y. Jafari Goldarag, Ali Mohammadzadeh, Ali Sarkargar Ardakani · 2016 · Journal of the Indian Society of Remote Sensing
50. Machine learning techniques for quality control in high conformance manufacturing environment
    Carlos A Escobar, Rubén Morales-Menéndez · 2018 · Advances in Mechanical Engineering
51. Learning styles' recognition in e‐learning environments with feed‐forward neural networks
    Jorge E. Villaverde, Daniela L. Godoy, Analı́a Amandi · 2006 · Journal of Computer Assisted Learning
52. Clustering for approximate similarity search in high-dimensional spaces
    Chen Li, E. Chang, Héctor García-Molina, Gio C. M. Wiederhold · 2002 · IEEE Transactions on Knowledge and Data Engineering
53. Fault diagnosis of rolling element bearing using time-domain features and neural networks
    B. Sreejith, Arun Kumar Verma, A. Srividya · 2008
54. Granger causality vs. dynamic Bayesian network inference: a comparative study
    Cunlu Zou, Jianfeng Feng · 2009 · BMC Bioinformatics
55. Spiking Neural P Systems With Polarizations
    Tingfang Wu, Andrei Păun, Zhiqiang Zhang · 2017 · IEEE Transactions on Neural Networks and Learning Systems
56. Circular backpropagation networks for classification
    Sandro Ridella, Stefano Rovetta, Rodolfo Zunino · 1997 · IEEE Transactions on Neural Networks
57. The need for small learning rates on large problems
    D.R. Wilson, Tony R. Martinez · 2002 · 2022 International Joint Conference on Neural Networks (IJCNN)
58. A neural network‐based method for merging ocean color and Argo data to extend surface bio‐optical properties to depth: Retrieval of the particulate backscattering coefficient
    Raphaëlle Sauzède, Hervé Claustre, Julia Uitz · 2016 · Journal of Geophysical Research Oceans
59. Artificial intelligence in OCT angiography
    Tristan T. Hormel, Thomas S. Hwang, Steven T. Bailey, David John Wilson, David Huang, Yali Jia · 2021 · Progress in Retinal and Eye Research
60. The Role of Machine Learning in Tribology: A Systematic Review
    Uma Maheshwera Reddy Paturi, Sai Teja Palakurthy, N.S. Reddy · 2022 · Archives of Computational Methods in Engineering
61. Multiresolution forecasting for futures trading using wavelet decompositions
    Bailing Zhang, R. Coggins, M.A. Jabri, D.R. Dersch, Barry Flower · 2001 · IEEE Transactions on Neural Networks
62. The successful discrimination of depression from EEG could be attributed to proper feature extraction and not to a particular classification method
    Čukić, Milena, Stokić, Miodrag, Simić, Slobodan, Pokrajac, Dragoljub · 2020 · Cognitive Neurodynamics
63. Evaluation of a Previously Suggested Plasma Biomarker Panel to Identify Alzheimer's Disease
    Björkqvist, Maria, Ohlsson, Mattias, Minthon, Lennart, Hansson, Oskar · 2012 · PLoS ONE
64. Ensemble of ARIMA: combining parametric and bootstrapping technique for traffic flow prediction
    Siroos Shahriari, Milad Ghasri, Scott A. Sisson, Taha Hossein Rashidi · 2020 · Transportmetrica A Transport Science
65. Molecular Similarity Measures
    Gerald M. Maggiora, Veerabahu Shanmugasundaram · 2010 · Methods in molecular biology
66. Neural Network Modeling for Estimation of Scour Depth Around Bridge Piers
    T. L. Lee, Dong‐Sheng Jeng, G. H. Zhang · 2007 · Journal of Hydrodynamics
67. Quantitative analysis of ultrasound B-mode images of carotid atherosclerotic plaque: correlation with visual classification and histological examination
    Jens E. Wilhjelm, M.-L.M. Grønholdt, Britt Marie Wiebe, Søren K. Jespersen, Lars Kai Hansen, Henrik Hegaard Sillesen · 1998 · IEEE Transactions on Medical Imaging
68. Chatter detection in milling machines by neural network classification and feature selection
    M. Lamraoui, Mustapha Barakat, Marc Thomas, Mohamed El Badaoui · 2013 · Journal of Vibration and Control
69. Neural Decision Forests for Semantic Image Labelling
    Samuel Rota Bulò, Peter Kontschieder · 2014 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
70. When Malware is Packin' Heat; Limits of Machine Learning Classifiers Based on Static Analysis Features
    Hojjat Aghakhani, Fabio Gritti, Francesco Mecca, Martina Lindorfer, Stefano Ortolani, Davide Balzarotti, Giovanni Vigna, Christopher Kruegel · 2020 · Network and Distributed System Security Symposium
71. Feature‐space clustering for fMRI meta‐analysis
    Cyril Goutte, Lars Kai Hansen, Matthew G. Liptrot · 2001 · Human Brain Mapping
72. Bayesian information criteria and smoothing parameter selection in radial basis function networks
    Sadanori Konishi · 2004 · Biometrika
73. A review of virtual sensing technology and application in building systems
    Haorong Li, Daihong Yu, James E. Braun · 2011 · Science and Technology for the Built Environment
74. Evolutionary Optimization of Radial Basis Function Classifiers for Data Mining Applications
    Oliver Buchtala, M. Klimek, Bernhard Sick · 2005 · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
75. The Facial Action Coding System for Characterization of Human Affective Response to Consumer Product-Based Stimuli: A Systematic Review
    Elizabeth A. Clark, J’Nai Kessinger, Susan Ellen Duncan, Martha Ann Bell, Jacob Lahne, Daniel L. Gallagher, Sean F. O’Keefe · 2020 · Frontiers in Psychology
76. HealthSOS: Real-Time Health Monitoring System for Stroke Prognostics
    Iqram Hussain, Se Jin Park · 2020 · IEEE Access
77. Use of Automatic Relevance Determination in QSAR Studies Using Bayesian Neural Networks
    Frank R. Burden, Martyn Glenn Ford, David C. Whitley, David Alan Winkler · 2000 · Journal of Chemical Information and Computer Sciences
78. Breast cancer risk estimation with artificial neural networks revisited
    Turgay Ayer, Oğuzhan Alagöz, Jagpreet Chhatwal, JUDE W. SHAVLIK, Charles E. Kahn, Elizabeth S. Burnside · 2010 · Cancer
79. Two-Stage Cost-Sensitive Learning for Software Defect Prediction
    Mingxia Liu, Linsong Miao, Daoqiang Zhang · 2014 · IEEE Transactions on Reliability
80. A novel dynamic bayesian network‐based networked process monitoring approach for fault detection, propagation identification, and root cause diagnosis
    Jie Yu, MUDASSIR M. RASHID · 2013 · AIChE Journal
81. Error Moderation in Low-Cost Machine-Learning-Based Analog/RF Testing
    Haralampos‐G. Stratigopoulos, Yiorgos Makris · 2008 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
82. Probabilistic neural network for breast cancer classification
    Ahmad Taher Azar, Shaimaa Ahmed Elsaid · 2012 · Neural Computing and Applications
83. "The way it Sounds": timbre models for analysis and retrieval of music signals
    Jean‐Julien Aucouturier, Francois Pachet B, Mark B. Sandler · 2005 · IEEE Transactions on Multimedia
84. Chemical Authentication of Extra Virgin Olive Oil Varieties by Supervised Chemometric Procedures
    Remo Bucci, Andrea Magrì, Antonio L. Magrì · 2002 · Journal of Agricultural and Food Chemistry
85. The common vector approach and its relation to principal component analysis
    M. Bilginer Gülmezoğlu, Vakıf Dzhafarov, Atalay Barkana · 2001 · IEEE Transactions on Speech and Audio Processing
86. A comparative study of models for the incident duration prediction
    Gaetano Valenti, Maria Lelli, Domenico Cucina · 2010 · European Transport Research Review
87. Intrusion Detection Systems: A Cross-Domain Overview
    Lionel Nganyewou Tidjon, Marc Frappier, Amel Mammar · 2019 · IEEE Communications Surveys & Tutorials
88. An automatic chemical lumping method for the reduction of large chemical kinetic mechanisms
    P PEPIOTDESJARDINS, Heinz G. Pitsch · 2008 · Combustion Theory and Modelling
89. Gender and ethnic classification of face images
    Srinivas Gutta, Harry Wechsler, P. Jonathon Phillips · 2002 · International Conference on Automatic Face and Gesture Recognition
90. A neural-network technique for the retrieval of atmospheric temperature and moisture profiles from high spectral resolution sounding data
    William J. Blackwell · 2005 · IEEE Transactions on Geoscience and Remote Sensing
91. Tourism Demand Forecasting with Neural Network Models: Different Ways of Treating Information
    Oscar Clavería, Enric Monte, Salvador Torra · 2014 · International Journal of Tourism Research
92. An Overview on Study of Identification of Driver Behavior Characteristics for Automotive Control
    Na Lin, Changfu Zong, Masayoshi Tomizuka · 2014 · Mathematical Problems in Engineering
93. Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations
    Luis A. Camuñas-Mesa, B. Linares-Barranco, Teresa Serrano‐Gotarredona · 2019 · Materials
94. Integrating LIDAR elevation data, multi‐spectral imagery and neural network modelling for marsh characterization
    James T. Morris, Dwayne E. Porter, Matthew J. Neet · 2005 · International Journal of Remote Sensing
95. A fuzzy logic approach for estimation of permeability and rock type from conventional well log data: an example from the Kangan reservoir in the Iran Offshore Gas Field
    Ali Kadkhodaie, Mohammadreza Rezaee, Seyed Ali Moallemi · 2006 · Journal of Geophysics and Engineering
96. Benchmarking a reduced multivariate polynomial pattern classifier
    Kar‐Ann Toh, Quoc-Long Tran, Dipti Srinivasan · 2004 · IEEE Transactions on Pattern Analysis and Machine Intelligence
97. Estimating photometric redshifts with artificial neural networks
    Andrew E. Firth, Ofer Lahav, Rachel S. Somerville · 2002
98. Multivariate Analysis
    Richard A. Johnson, Dean W. Wichern · 2007 · Encyclopedia of Statistics in Quality and Reliability
99. Neural network based attack on a masked implementation of AES
    Richard Gilmore, Neil Hanley, Maire P. O'Neill · 2015 · IEEE International Symposium on Hardware Oriented Security and Trust (HOST)
100. Burst detection using hydraulic data from water distribution systems with artificial neural networks
     Stephen R. Mounce, John Machell · 2006 · Urban Water Journal