Neural Networks for Pattern Recognition

Cited by (1,026)

Items 901–1,000 of 1,026

1. Novelty Detection with Multivariate Extreme Value Statistics
   David Andrew Clifton, Samuel Hugueny, Lionel Tarassenko · 2010 · Journal of Signal Processing Systems
2. Pattern matching in historical data
   Michael C. Johannesmeyer, Ashish Kumar Singhal, Dale E. Seborg · 2002 · AIChE Journal
3. A comparison of optimal MIMO linear and nonlinear models for brain–machine interfaces
   S.-P. Kim, Justin C. Sanchez, Y.N. Rao, Deniz Erdogmus B, Jose M. Carmena, Mikhail Lebedev, Miguel A. L. Nicolelis, José Carlos Príncipe · 2006 · Journal of Neural Engineering
4. Application of backpropagation neural network for spindle vibration-based tool wear monitoring in micro-milling
   Wan-Hao Hsieh, Ming‐Chyuan Lu, Shean-Juinn Chiou · 2011 · The International Journal of Advanced Manufacturing Technology
5. Computational Models for Neuromuscular Function
   Francisco J. Valero‐Cuevas, Heiko Hoffmann, Manish U. Kurse, Jason J. Kutch, Evangelos A. Theodorou · 2009 · IEEE Reviews in Biomedical Engineering
6. CLUSTERING-BASED NETWORK INTRUSION DETECTION
   Shi Sheng Zhong, Taghi M. Khoshgoftaar, Naeem Seliya · 2007 · International Journal of Reliability Quality and Safety Engineering
7. Structural Damage Detection using Independent Component Analysis
   Chaoping Zang, Michael I. Friswell, Mehmet Imregun · 2004 · Structural Health Monitoring
8. Artificial Neural Network Decision Support Systems for New Product Development Project Selection
   R. Jeffrey Thieme, Michael Song, Roger J. Calantone · 2000 · Journal of Marketing Research
9. Connectionist language modeling for large vocabulary continuous speech recognition
   Holger Schwenk, Jean‐Luc Gauvain · 2002 · IEEE International Conference on Acoustics Speech and Signal Processing
10. Neuromorphic architectures for nanoelectronic circuits
    Özgür Türel, Jung H. Lee, Xiaolong Ma, Konstantin K. Likharev · 2004 · International Journal of Circuit Theory and Applications
11. Automated Glioblastoma Segmentation Based on a Multiparametric Structured Unsupervised Classification
    Javier Juan–Albarracín, Elies Fuster‐García, José V. Manjón, Montserrat Robles, Fernando Aparici, Luis Martí‐Bonmatí, Juan Miguel Garcia-Gomez · 2015 · PLoS ONE
12. Improved music feature learning with deep neural networks
    Siddharth Sigtia, Simon Dixon · 2014 · IEEE International Conference on Acoustics Speech and Signal Processing
13. Computer-Aided Prostate Cancer Diagnosis From Digitized Histopathology: A Review on Texture-Based Systems
    CLARA M. MOSQUERA-LOPEZ, Sos С. Agaian, Alejandro Vélez Hoyos, Ian Murchie Thompson · 2014 · IEEE Reviews in Biomedical Engineering
14. Development of EBP-Artificial neural network expert system for rolling element bearing fault diagnosis
    Pratesh Jayaswal, S.N. Verma, Arun Kumar Wadhwani · 2010 · Journal of Vibration and Control
15. Broadband Ground Motions from 3D Physics‐Based Numerical Simulations Using Artificial Neural Networks
    Roberto Paolucci, Filippo Gatti, Maria Infantino · 2018 · Bulletin of the Seismological Society of America
16. Taking on the curse of dimensionality in joint distributions using neural networks
    Bengio, S., Bengio, Y. · 2000 · IEEE Transactions on Neural Networks
17. Multi-Net Systems
    AMANDA J. C. SHARKEY · 1999 · Perspectives in neural computing
18. Fuzzy-rough nearest neighbor algorithms in classification
    Manish Sarkar · 2007 · Fuzzy Sets and Systems
19. Mapping the conformational transition in Src activation by cumulating the information from multiple molecular dynamics trajectories
    Sichun Yang, Nilesh K. Banavali, Benoı̂t Roux · 2009 · Proceedings of the National Academy of Sciences
20. Task-specific feature extraction and classification of fMRI volumes using a deep neural network initialized with a deep belief network: Evaluation using sensorimotor tasks
    Hojin Jang, Sergey Plis, Vince D. Calhoun, Jong‐Hwan Lee · 2016 · NeuroImage
21. Statistical Learning Theory and ELM for Big Social Data Analysis
    Luca Oneto, Federica Bisio, Erik Cambria, Davide Anguita · 2016 · IEEE Computational Intelligence Magazine
22. Multimodal Emotion Recognition
    Sanaul Haq, Philip J. B. Jackson · 2010 · IGI Global eBooks
23. Reconstruction of road defects and road roughness classification using vehicle responses with artificial neural networks simulation
    Harry Ngwangwa, Philippus Stephan Heyns, F.J.J. Labuschagne · 2009 · Journal of Terramechanics
24. Applications of probability density estimation to the detection of abnormal conditions in engineering
    M.J. Desforges, P J Jacob, Jonathan E. Cooper · 1998 · Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
25. Identification of stable models in subspace identification by using regularization
    Tony Van Gestel, Johan A. K. Suykens, Paul Van Dooren · 2001 · IEEE Transactions on Automatic Control
26. Text Detection and Localization in Complex Scene Images using Constrained AdaBoost Algorithm
    Muhammad Shehzad Hanif, Lionel Prévost · 2009 · Proceedings of the International Conference on Document Analysis and Recognition
27. Learning Features by Contrasting Natural Images with Noise
    Michael U. Gutmann, Aapo Hyvärinen · 2009 · Lecture notes in computer science
28. Action Classification in Soccer Videos with Long Short-Term Memory Recurrent Neural Networks
    Moez Baccouche, Franck Mamalet, Christian Wolf, Christophe García, Atilla M. Baskurt · 2010 · Lecture notes in computer science
29. Kernel Methods in Computer Vision
    Christoph H. Lampert · 2009 · Foundations and Trends® in Computer Graphics and Vision
30. Real-Time Feedback-Controlled Robotic Fish for Behavioral Experiments With Fish Schools
    Daniel T. Swain, Iain D. Couzin, Naomi Ehrich Leonard · 2011 · Proceedings of the IEEE
31. Combined Nonparametric Prediction Intervals for Wind Power Generation
    Abbas Khosravi, Saeid Nahavandi · 2013 · IEEE Transactions on Sustainable Energy
32. Fault diagnosis of rotating machinery based on multi-class support vector machines
    Bo‐Suk Yang, Tian Han, Won-Woo Hwang · 2005 · Journal of Mechanical Science and Technology
33. Selecting an appropriate supervised machine learning algorithm for predictive maintenance
    Abdelfetah Ouadah, Leila Zemmouchi-Ghomari, Nedjma Salhi · 2022 · The International Journal of Advanced Manufacturing Technology
34. An example-based approach to human body manipulation
    Hyewon Seo, Nadia Magnenat‐Thalmann · 2003 · Graphical Models
35. Identifying important factors influencing corn yield and grain quality variability using artificial neural networks
    Yuxin Miao, David J. MULLA, P. C. Robert · 2006 · Precision Agriculture
36. Development of knowledge based artificial neural network models for microwave components
    Paul M. Watson, K.C. Gupta, Roop L. Mahajan · 2002 · IEEE MTT-S International Microwave Symposium digest
37. Dynamic Resource Provisioning in Massively Multiplayer Online Games
    Vlad Nae, Alexandru Iosup, Radu Prodan · 2010 · IEEE Transactions on Parallel and Distributed Systems
38. A Physically Inspired Data-Driven Model for Electricity Theft Detection With Smart Meter Data
    Yuanqi Gao, Brandon Foggo, Nanpeng Yu · 2019 · IEEE Transactions on Industrial Informatics
39. Nonlinear probabilistic latent variable regression models for soft sensor application: From shallow to deep structure
    Bingbing Shen, Le Yao, Zhiqiang Ge · 2019 · Control Engineering Practice
40. Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image Segmentation
    Vishwesh Nath, Dong Yang, Bennett A. Landman, Daguang Xu, Holger R. Roth · 2020 · IEEE Transactions on Medical Imaging
41. Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms
    Frank Hutter, Youssef Hamadi, Holger H. Hoos · 2006 · Lecture notes in computer science
42. A unified model for probabilistic principal surfaces
    Kuiyu Chang, Joydeep Ghosh · 2001 · IEEE Transactions on Pattern Analysis and Machine Intelligence
43. Classification of washing machines vibration signals using discrete wavelet analysis for feature extraction
    Stefanos K. Goumas, Michalis E. Zervakis, Georgios S. Stavrakakis · 2002 · IEEE Transactions on Instrumentation and Measurement
44. Neural and statistical classifiers-taxonomy and two case studies
    Lasse Holmström, Petri Koistinen, Jorma T. Laaksonen, Erkki Oja A · 1997 · IEEE Transactions on Neural Networks
45. A Comparison of Logistic Regression, Classification and Regression Tree, and Neural Networks Models in Predicting Violent Re-Offending
    Yuanyuan Liu, M. Yang, Malcolm S. Ramsay, Xiao Li, J. Coid · 2011 · Journal of Quantitative Criminology
46. Hotel location evaluation: A combination of machine learning tools and web GIS
    Yang Yang, Jingyin Tang, Hao Luo, Rob Law · 2015 · International Journal of Hospitality Management
47. Wound-Rotor Induction Generator Inter-Turn Short-Circuits Diagnosis Using a New Digital Neural Network
    Samuel Toma, Laurent Capocchi, Gérard‐André Capolino · 2012 · IEEE Transactions on Industrial Electronics
48. CONSTRAINED CAMOUFLAGE FACILITATES THE EVOLUTION OF CONSPICUOUS WARNING COLORATION
    Sami Merilaita, Birgitta S. Tullberg · 2005 · Evolution
49. Predicting Available Parking Slots on Critical and Regular Services by Exploiting a Range of Open Data
    Claudio Badii, Paolo Nesi, Irene Paoli · 2018 · IEEE Access
50. Quantitative Evaluation of EEG-Biomarkers for Prediction of Sleep Stages
    I. Hussain, Md. Azam Hossain, Rafsan Jany, M. A. Bari, M. Uddin, A. Kamal, Y. Ku, Jik-Soo Kim · 2022 · Italian National Conference on Sensors
51. Retrieval of the spectral diffuse attenuation coefficientKd(λ) in open and coastal ocean waters using a neural network inversion
    Cédric Jamet, Hubert Loisel, David Dessailly · 2012 · Journal of Geophysical Research Atmospheres
52. Multi-Sensor Fusion for Activity Recognition—A Survey
    Antonio A. Aguileta, Ramón Brena, Oscar Mayora, Erik Molino Minero, Luis A. Trejo · 2019 · Sensors
53. Computer-aided decision-making for predicting liver disease using PSO-based optimized SVM with feature selection
    Javad Hassannataj Joloudari, Hamid Saadatfar, Abdollah Dehzangi · 2019 · Informatics in Medicine Unlocked
54. Using traditional machine learning and deep learning methods for on- and off-target prediction in CRISPR/Cas9: a review
    Zeinab Sherkatghanad, Moloud Abdar, Jérémy Charlier, Vladimir Makarenkov · 2023 · Briefings in Bioinformatics
55. A Review of Techniques for Handling Expensive Functions in Evolutionary Multi-Objective Optimization
    Luis Vicente Santana-Quintero, Alfredo Arias-Montaño, Carlos A. Coello Coello · 2010 · Adaptation, learning, and optimization
56. Weather Adaptive Traffic Prediction Using Neurowavelet Models
    Stephen Dunne, Bidisha Ghosh · 2013 · IEEE Transactions on Intelligent Transportation Systems
57. Prediction of flow fields and temperature distributions due to natural convection in a triangular enclosure using Adaptive-Network-Based Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN)
    Yasin Varol, Engin Avcı, Ahmet Koca · 2007 · International Communications in Heat and Mass Transfer
58. Automated melanoma detection with a novel multispectral imaging system: results of a prospective study
    Stefano Tomatis, M. Carrara, Aldo Vittorio Bono, Cesare Bartoli, Manuela Lualdi, Gabrina Tragni, Ambrogio Colombo, Renato Marchesini · 2005 · Physics in Medicine and Biology
59. A novel approach to parameter uncertainty analysis of hydrological models using neural networks
    Durga Lal Shrestha, Nagendra Kayastha, DIMITRI P. SOLOMATINE · 2009 · Hydrology and earth system sciences
60. Emergent semantics
    Steffen Staab, Simone Santini, Frank Nack, Luc Steels, Alexander Maedche · 2002 · IEEE Intelligent Systems
61. An IoT-based real-time intelligent monitoring and notification system of cold storage
    Afreen, Hina, Bajwa, Imran Sarwar · 2021 · IEEE Access
62. Daily training with realistic visual feedback improves reproducibility of event-related desynchronisation following hand motor imagery
    Takashi Ono, Akio Kimura, Junichi Ushiba · 2013 · Clinical Neurophysiology
63. Robust Student's-t Mixture Model With Spatial Constraints and Its Application in Medical Image Segmentation
    Thanh Minh Nguyen, Q. M. Jonathan Wu · 2011 · IEEE Transactions on Medical Imaging
64. Discriminative training of a neural network statistical parser
    James Henderson · 2004 · Annual Meeting of the Association for Computational Linguistics (ACL)
65. A Unified Probabilistic Formulation of Image Aesthetic Assessment
    Hui Zeng, Zisheng Cao, Lei Zhang A, Alan Conrad Bovik · 2019 · IEEE Transactions on Image Processing
66. Surrogate optimization of deep neural networks for groundwater predictions
    Juliane Müller, Jangho Park, Reetik Kumar Sahu, Charuleka Varadharajan, Bhavna Arora, Boris A. Faybishenko, D. Agarwal · 2020 · Journal of Global Optimization
67. Inversion of DC resistivity data using neural networks
    Gad El‐Qady, Keisuke Ushijima · 2001 · Geophysical Prospecting
68. Modelling adaptive, spatially aware, and mobile agents: Elk migration in Yellowstone
    D. A. Bennett, Wenwu Tang · 2006 · International Journal of Geographical Information Systems
69. Neural network for photoplethysmographic respiratory rate monitoring
    Anna Johansson · 2003 · Medical & Biological Engineering & Computing
70. The Quantitative Evaluation of Functional Neuroimaging Experiments: Mutual Information Learning Curves
    Ulrik Kjems, Lars Kai Hansen, Jon Anderson, Sally A. Frutiger, Suraj Muley, John J. Sidtis, David A. Rottenberg, Stephen C. Strother · 2002 · NeuroImage
71. Density-Induced Support Vector Data Description
    KiYoung Lee, Dae‐Won Kim, Kwang H. Lee, Doheon Lee · 2007 · IEEE Transactions on Neural Networks
72. Mixture Regression for Covariate Shift
    Amos Storkey, Masashi Sugiyama · 2007 · The MIT Press eBooks
73. Relevance Vector Machine Learning for Neonate Pain Intensity Assessment Using Digital Imaging
    Behnood Gholami, Wassim M. Haddad, Allen Tannenbaum · 2010 · IEEE Transactions on Biomedical Engineering
74. The prediction of seedy grape drying rate using a neural network method
    Gülşah Çakmak, Cengiz Yıldız · 2010 · Computers and Electronics in Agriculture
75. A Simple Feedforward Neural Network for the PM10 Forecasting: Comparison with a Radial Basis Function Network and a Multivariate Linear Regression Model
    Michele Caselli, Lorenzo de Trizio, Gianluigi de Gennaro, Pierina Ielpo · 2008 · Water Air & Soil Pollution
76. A neural network technique to improve computational efficiency of numerical oceanic models
    Vladimir M. Krasnopolsky, Dmitry V. Chalikov, Hendrik L. Tolman · 2002 · Ocean Modelling
77. Dynamic Delay Predictions for Large-Scale Railway Networks: Deep and Shallow Extreme Learning Machines Tuned via Thresholdout
    Luca Oneto, Emanuele Fumeo, Giorgio Clerico · 2017 · IEEE Transactions on Systems Man and Cybernetics Systems
78. LLE Score: A New Filter-Based Unsupervised Feature Selection Method Based on Nonlinear Manifold Embedding and Its Application to Image Recognition
    Chao Yao, Ya‐Feng Liu, Bo Jiang · 2017 · IEEE Transactions on Image Processing
79. A Convolutional Neural Network-Based 3D Semantic Labeling Method for ALS Point Clouds
    Zhishuang Yang, Wanshou Jiang, Bo Xu · 2017 · Remote Sensing
80. A Machine Learning Model for Air Quality Prediction for Smart Cities
    M. Usha, Kirthiga Elangovan, Himanshu Dobhal · 2019 · International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)
81. Biologically Plausible Speech Recognition with LSTM Neural Nets
    Alex Graves, Douglas Eck, Nicole Beringer · 2004 · Lecture notes in computer science
82. Evaluation of artificial neural network techniques for flow forecasting in the River Yangtze, China
    Christian W. Dawson, Colin Harpham, Robert Leonard Wilby · 2002 · Hydrology and earth system sciences
83. Facial Expression Recognition in JAFFE Dataset Based on Gaussian Process Classification
    Fei Cheng, Jiangsheng Yu, Huilin Xiong · 2010 · IEEE Transactions on Neural Networks
84. Application of Artificial Neural Networks to Broadband Antenna Design Based on a Parametric Frequency Model
    Youngwook Kim, S. Keely, Joydeep Ghosh · 2007 · IEEE Transactions on Antennas and Propagation
85. Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit
    Emilio Corchado, Donald MacDonald, Colin Fyfe · 2004 · Data Mining and Knowledge Discovery
86. A simplified approach to quantifying predictive and parametric uncertainty in artificial neural network hydrologic models
    Roshan Srivastav, K. P. Sudheer, Indrajeet Chaubey · 2007 · Water Resources Research
87. Infrared micro-spectral imaging: distinction of tissue types in axillary lymph node histology
    Benjamin Bird, Miloš D. Miljković, Melissa Romeo, Jennifer Degnan Smith, Nicholas Stone, Michael W. George, Max Diem · 2008 · BMC Clinical Pathology
88. Training neural networks with ant colony optimization algorithms for pattern classification
    Michalis Mavrovouniotis, Shengxiang Yang · 2014 · Soft Computing
89. Performing Feature Selection With Multilayer Perceptrons
    Enrique E. Romero, J.M. Gaya Sopena · 2008 · IEEE Transactions on Neural Networks
90. Learning the pseudoinverse solution to network weights
    Jonathan C. Tapson, van Schaik André · 2013 · Neural Networks
91. An Empirical Study of the Behavior of Classifiers on Imbalanced and Overlapped Data Sets
    Vicente García, J. Salvador Sánchez, Ramón A. Mollineda · 2007 · Springer eBooks
92. Response models based on bagging neural networks
    Kyoung-Nam Ha, Sungzoon Cho, Douglas L. MacLachlan · 2005 · Journal of Interactive Marketing
93. Statistical uncertainty of eddy flux–based estimates of gross ecosystem carbon exchange at Howland Forest, Maine
    Stephen C. Hagen, BOBBY H. BRASWELL, Ernst Linder · 2006 · Journal of Geophysical Research Atmospheres
94. Prediction of Oil PVT Properties Using Neural Networks
    E. A. Osman, Osama Abdel-Wahhab, Muhammad Ali Al-Marhoun · 2001 · SPE middle east oil show
95. Bayesian neural networks for nonlinear time series forecasting
    Faming Liang · 2005 · Statistics and Computing
96. Affine-invariant local descriptors and neighborhood statistics for texture recognition
    Lazebnik, Cordelia Schmid, Ponce · 2003 · IEEE International Conference on Computer Vision (ICCV)
97. Comparison of GENIE and conventional supervised classifiers for multispectral image feature extraction
    Neal R. Harvey, James P. Theiler, Steven P. Brumby · 2002 · IEEE Transactions on Geoscience and Remote Sensing
98. A Mobile Health Application to Predict Postpartum Depression Based on Machine Learning
    Santiago Jiménez-Serrano, Salvador Tortajada, Juan Miguel Garcia-Gomez · 2015 · Telemedicine Journal and e-Health
99. Multiple-wearable-sensor-based gait classification and analysis in patients with neurological disorders
    Hsu, Wei-Chun, Sugiarto, Tommy, Lin, Yi-Jia, Yang, Fu-Chi, Lin, Zheng-Yi, Sun, Chi-Tien, Hsu, Chun-Lung, Chou, Kuan-Nien · 2018 · Sensors
100. Artificial Neural Networks (ANNs) as a Novel Modeling Technique in Tribology
     Argatov, Ivan · 2019 · Frontiers in Mechanical Engineering