Neural Networks for Pattern Recognition

Cited by (1,026)

Items 401–500 of 1,026

1. Application of Artificial Neural Networks (ANNs) in Drying Technology: A Comprehensive Review
   Mortaza Aghbashlo, Soleiman Hosseinpour, ARUN SADASHIV MUJUMDAR · 2015 · Drying Technology
2. Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN)
   Kenji Suzuki, Hiroyuki Abé, Heber MacMahon, Kazuteru Doi · 2006 · IEEE Transactions on Medical Imaging
3. Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning
   Stefan Schaal, Christopher G. Atkeson, Sethu Vijayakumar · 2002 · Applied Intelligence
4. Data-Driven Modelling: Concepts, Approaches and Experiences
   DIMITRI P. SOLOMATINE, Linda See, Robert J. Abrahart · 2008 · Water science and technology library
5. Revisiting squared-error and cross-entropy functions for training neural network classifiers
   Kline, Douglas M., Berardi, Victor L. · 2005 · Neural Computing and Applications
6. Development and Verification of an Online Artificial Intelligence System for Detection of Bursts and Other Abnormal Flows
   Stephen R. Mounce, Joby B. Boxall, John Machell · 2009 · Journal of Water Resources Planning and Management
7. Analytical And Quantitativecytology And Histology
   Martijn C. Briët, Seema Chhabra, Rajan Chopra et al. · 2010 · Acta Cytologica
8. Nuclear mass predictions for the crustal composition of neutron stars: A Bayesian neural network approach
   Raditya Utama, J. Piekarewicz, Harrison Bertrand Prosper · 2016 · Physical Review C
9. A New Fuzzy-Based Combined Prediction Interval for Wind Power Forecasting
   Abdollah Kavousi‐Fard, Abbas Khosravi, Saeid Nahavandi · 2015 · IEEE Transactions on Power Systems
10. Computational intelligence methods for rule-based data understanding
    Włodzisław Duch, Rudy Setiono, Jacek M. Żurada · 2004 · Proceedings of the IEEE
11. An Alternative to Static Climatologies: Robust Estimation of Open Ocean CO2 Variables and Nutrient Concentrations From T, S, and O2 Data Using Bayesian Neural Networks
    Henry C. Bittig, Tobias Steinhoff, Hervé Claustre, Björn Fiedler, Nancy Louise Williams, Raphaëlle Sauzède, Arne Körtzinger, Jean‐Pierre Gattuso · 2018 · Frontiers in Marine Science
12. Adaptive Synchronization of Reaction–Diffusion Neural Networks and Its Application to Secure Communication
    S. Lakshmanan, Prakash Mani, Rajan Rakkiyappan, Young Hoon Joo · 2018 · IEEE Transactions on Cybernetics
13. Hidden Markov models for online classification of single trial EEG data
    Bernhard Obermaier, Christoph Guger, Christa Neuper, Gert Pfurtscheller · 2001 · Pattern Recognition Letters
14. Metabolomics of a superorganism
    Royston Goodacre · 2006 · Research Explorer (The University of Manchester)
15. A study of real-time packet video quality using random neural networks
    Samir A. Elsagheer Mohamed, Gerardo Rubino · 2002 · IEEE Transactions on Circuits and Systems for Video Technology
16. Automated Detection of Pipe Bursts and Other Events in Water Distribution Systems
    Michele Romano, Zoran S. Kapelan, Dragan A. Savic · 2012 · Journal of Water Resources Planning and Management
17. A renaissance of neural networks in drug discovery
    Baskin, Igor I., Winkler, David, Tetko, Igor V. · 2016 · Expert Opinion on Drug Discovery
18. Particulate matter air quality assessment using integrated surface, satellite, and meteorological products: 2. A neural network approach
    Pawan Gupta, Sundar A. Christopher · 2009 · Journal of Geophysical Research Atmospheres
19. Transfer learning for medical images analyses: A survey
    Xiang Yu, Jian Wang, Qingqi Hong, Raja Teku, Shuihua Wang‎, Yudong Zhang · 2022 · Neurocomputing
20. Detection of conceptual model rainfall—runoff processes inside an artificial neural network
    Robert Leonard Wilby, Robert J. Abrahart, Christian W. Dawson · 2003 · Hydrological Sciences Journal
21. EigenGait: Motion-Based Recognition of People Using Image Self-Similarity
    Chiraz BenAbdelkader, Ross Cutler, H. Nanda, Larry Steven Davis · 2001 · Lecture notes in computer science
22. Fast SVM training algorithm with decomposition on very large data sets
    Jian-xiong Dong, Krzyzak, A., Suen, C.Y. · 2005 · IEEE Transactions on Pattern Analysis and Machine Intelligence
23. Motor Learning Without Doing: Trial-by-Trial Improvement in Motor Performance During Mental Training
    Rodolphe J. Gentili, Cheol E. Han, Nicolas Schweighofer, Charalambos Papaxanthis · 2010 · Journal of Neurophysiology
24. Comparison of artificial neural network and logistic regression models for prediction of mortality in head trauma based on initial clinical data
    Behzad Eftekhar, Kazem Mohammad, Hassan Eftekhar Ardebili, Mohammad Ghodsi, Ebrahim Ketabchi · 2005 · BMC Medical Informatics and Decision Making
25. Analog fault diagnosis of actual circuits using neural networks
    Farzan Aminian, Mehran Aminian, Haley Collins · 2002 · IEEE Transactions on Instrumentation and Measurement
26. Neural Network-Based Market Clearing Price Prediction and Confidence Interval Estimation With an Improved Extended Kalman Filter Method
    Li Zhang, Peter B. Luh · 2005 · IEEE Transactions on Power Systems
27. Continuous Human Activity Classification From FMCW Radar With Bi-LSTM Networks
    Aman Shrestha, Haobo Li, Julien Le Kernec, Francesco Fioranelli · 2020 · IEEE Sensors Journal
28. Estimating the intrinsic dimension of data with a fractal-based method
    Francesco Camastra, Alessandro Vinciarelli · 2002 · IEEE Transactions on Pattern Analysis and Machine Intelligence
29. Random Subspace Ensembles for fMRI Classification
    Ludmila Ilieva Kuncheva, Juan J. Rodríguez, Catrin Plumpton, David E.J. Linden, Stephen J. Johnston · 2010 · IEEE Transactions on Medical Imaging
30. Radial basis function approach to nonlinear Granger causality of time series
    Nicola Ancona, Daniele Marinazzo, Sebastiano Stramaglia · 2004 · Physical Review E
31. Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model
    Ravinesh Chand Deo, Mukesh Kumar Tiwari, Jan Adamowski, John Quilty · 2016 · Stochastic Environmental Research and Risk Assessment
32. Computational techniques for ECG analysis and interpretation in light of their contribution to medical advances
    Aurore Lyon, Ana Mincholé, Juan Pablo Martí­nez, Pablo Laguna, Blanca Rodríguez · 2018 · Journal of The Royal Society Interface
33. Artificial Neural Network Modeling for Groundwater Level Forecasting in a River Island of Eastern India
    Sheelabhadra Mohanty, Madan Kumar Jha, Ashwani Kumar · 2009 · Water Resources Management
34. Mixture of experts for classification of gender, ethnic origin, and pose of human faces
    Srinivas Gutta, Jeffrey R. Huang, P. Jonathon, Harry Wechsler · 2000 · IEEE Transactions on Neural Networks
35. Comparison of machine learning and traditional classifiers in glaucoma diagnosis
    Kwokleung Chan, Te-Won Lee, P. A. Sample, Michael H. Goldbaum, Robert Neal Weinreb, Terrence J. Sejnowski A B · 2002 · IEEE Transactions on Biomedical Engineering
36. Deterministic Learning and Rapid Dynamical Pattern Recognition
    Cong Wang, David John Hill · 2007 · IEEE Transactions on Neural Networks
37. Data mining techniques for software effort estimation: a comparative study
    Dejaeger, Karel, Verbeke, Wouter, Martens, David, Baesens, Bart · 2012 · IEEE Transactions on Software Engineering
38. Hybrid Recommender System based on Autoencoders
    Florian Strub, Romaric Gaudel, Jérémie Mary · 2016 · LillOA (Université de Lille (University Of Lille))
39. A Comparison of State‐of‐the‐Art Classification Techniques for Expert Automobile Insurance Claim Fraud Detection
    Stijn Viaene, Richard A. Derrig, Bart Baesens, Guido Dedene · 2002 · Journal of Risk & Insurance
40. Deeply-Learned Feature for Age Estimation
    Xiaolong Wang, Rui Guo, Chandra Kambhamettu · 2015 · IEEE Winter Conference on Applications of Computer Vision
41. Attention Based Detection and Recognition of Hand Postures Against Complex Backgrounds
    Pramod Kumar Pisharady, Prahlad Vadakkepat, A.P. Loh · 2012 · International Journal of Computer Vision
42. Walking from thought
    Gert Pfurtscheller, Robert Leeb, Claudia Keinrath, Doron A. Friedman, Christa Neuper, Christoph Guger, Mel Slater · 2006 · Brain Research
43. Detecting Anomaly in Big Data System Logs Using Convolutional Neural Network
    Siyang Lu, Xiang Wei, Yandong Li, Liqiang Wang · 2018 · IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
44. Groundwater-level prediction using multiple linear regression and artificial neural network techniques: a comparative assessment
    Sasmita Sahoo, Madan Kumar Jha · 2013 · Hydrogeology Journal
45. State-of-the-art review on Bayesian inference in structural system identification and damage assessment
    Yong Huang, Changsong Shao, Biao Wu, James L. Beck, Hui Li · 2018 · Advances in Structural Engineering
46. Two-dimensional versus three-dimensional cell counting: a practical perspective
    Francine Mary Benes, Nicholas DE LANGE · 2001 · Trends in Neurosciences
47. Supervised Learning of Quantizer Codebooks by Information Loss Minimization
    Svetlana Lazebnik, Maxim Raginsky · 2009 · IEEE Transactions on Pattern Analysis and Machine Intelligence
48. On the k-NN performance in a challenging scenario of imbalance and overlapping
    Vicente García, Ramón A. Mollineda, J. Salvador Sánchez · 2007 · Pattern Analysis and Applications
49. Multilabel Random Walker Image Segmentation Using Prior Models
    Leo J. Grady · 2005 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
50. Feature Generation Using Genetic Programming With Application to Fault Classification
    H. Guo, L.B. Jack, Asoke K. Nandi · 2005 · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
51. Application of artificial neural networks for water quality prediction
    A. Najah, Ahmed El‐Shafie, Othman A. Karim · 2012 · Neural Computing and Applications
52. CCLearner: A Deep Learning-Based Clone Detection Approach
    Liuqing Li, He Feng, Wenjie Zhuang, Na Meng, Barbara G. Ryder · 2017 · IEEE International Conference on Software Maintenance (ICSM)
53. Sobolev training of thermodynamic-informed neural networks for interpretable elasto-plasticity models with level set hardening
    Nikolaos N. Vlassis, WaiChing Sun · 2021 · Computer Methods in Applied Mechanics and Engineering
54. Automatic recognition of handwritten numerical strings: a recognition and verification strategy
    Luiz S. Oliveira, Robert Sabourin, Flávio Bortolozzi, Ching Y. Suen · 2002 · IEEE Transactions on Pattern Analysis and Machine Intelligence
55. Editorial survey: swarm intelligence for data mining
    David Martens, Bart Baesens, Tom E. Fawcett · 2010 · Machine Learning
56. Artificial neural network approach to flood forecasting in the River Arno
    Marina Campolo, Alfredo Soldati, Paolo Andreussi · 2003 · Hydrological Sciences Journal
57. Analysis of drought severity‐area‐frequency curves using a general circulation model and scenario uncertainty
    Ashok Kumar Mishra, Vijay P. Singh · 2009 · Journal of Geophysical Research Atmospheres
58. On breast cancer detection
    Abien Fred Agarap · 2018 · International Conference on Machine Learning and Soft Computing (ICMLSC)
59. Universal Approximation of Extreme Learning Machine With Adaptive Growth of Hidden Nodes
    Rui Zhang, Yuan Lan, Guang-Bin Huang, Zongben Xu · 2012 · IEEE Transactions on Neural Networks and Learning Systems
60. THINK OUTSIDE THE COLOR BOX: PROBABILISTIC TARGET SELECTION AND THESDSS-XDQSOQUASAR TARGETING CATALOG
    Jo Bovy, Joseph F. Hennawi, David W. Hogg, Adam D. Myers, Jessica A. Kirkpatrick, David J. Schlegel, Nicholas P. Ross, Erin Scott Sheldon, Ian D. McGreer, Donald P. Schneider et al. · 2011 · The Astrophysical Journal
61. Theta-Coupled Periodic Replay in Working Memory
    Fuentemilla, Lluís, Penny, Will D., Cashdollar, Nathan, Bunzeck, Nico, Düzel, Emrah · 2010 · Current Biology
62. PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning
    Rajeev R. Rastogi, Kyuseok Shim · 2000 · Data Mining and Knowledge Discovery
63. Probabilistic segmentation of brain tissue in MR imaging
    Petronella Anbeek, Koen L. Vincken, Glenda S. van Bochove, Matthias J.P. van Osch, Jeroen van der Grond · 2005 · NeuroImage
64. Process monitoring using a Gaussian mixture model via principal component analysis and discriminant analysis
    Sang Wook Choi, Jin Hyun Park, In−Beum Lee · 2003 · Computers & Chemical Engineering
65. Modeling and Decoding Motor Cortical Activity Using a Switching Kalman Filter
    Wei Li Wu, Michael J. Black, D. Mumford · 2004 · IEEE Transactions on Biomedical Engineering
66. Max-min surrogate-assisted evolutionary algorithm for robust design
    Yew-Soon Ong, Prasanth B. Nair, Kai‐Yew Lum · 2006 · IEEE Transactions on Evolutionary Computation
67. A novel memristive neural network with hidden attractors and its circuitry implementation
    Viet Thanh Pham, Sajad Jafari, Sundarapandian V. Vaidyanathan, CHRISTOS K. VOLOS, Xiong Wang · 2015 · Science China Technological Sciences
68. Authentication of Smartphone Users Using Behavioral Biometrics
    Abdulaziz A. Alzubaidi, Jugal Kumar Kalita · 2016 · IEEE Communications Surveys & Tutorials
69. Estimating tropical forest biomass with a combination of SAR image texture and Landsat TM data: An assessment of predictions between regions
    Mark E. J. Cutler, Doreen S. Boyd, Giles M. Foody · 2012 · ISPRS Journal of Photogrammetry and Remote Sensing
70. MVA Processing of Speech Features
    Chia-Ping Chen, Jeff Bilmes · 2006 · IEEE Transactions on Audio Speech and Language Processing
71. Constraint Score: A new filter method for feature selection with pairwise constraints
    Daoqiang Zhang, Songcan Chen, Zhi‐Hua Zhou · 2007 · Pattern Recognition
72. Power quality disturbance waveform recognition using wavelet-based neural classifier. II. Application
    Surya Santoso, Edward J. Powers, William Mack Grady · 2000 · IEEE Transactions on Power Delivery
73. Comparative performance of six supervised learning methods for the development of models of hard rock pillar stability prediction
    Jian Zhou, Xibing Li, Hani S. Mitri · 2015 · Natural Hazards
74. The comparison index: A tool for assessing the accuracy of image segmentation
    Markus Möller, Leo Lymburner, Martin Völk · 2006 · International Journal of Applied Earth Observation and Geoinformation
75. Variational Bayesian inference for fMRI time series
    W.D. Penny, Stefan J. Kiebel, Karl John Friston · 2003 · NeuroImage
76. A Spatially Constrained Mixture Model for Image Segmentation
    Konstantinos Blekas, Aristidis C. Likas, Nikolaos P. Galatsanos · 2005 · IEEE Transactions on Neural Networks
77. Parametric Representations of Bird Sounds for Automatic Species Recognition
    Panu Juhani Somervuo, Aki Härmä, Seppo Fagerlund · 2006 · IEEE Transactions on Audio Speech and Language Processing
78. Enlarging smaller images before inputting into convolutional neural network: zero-padding vs. interpolation
    Mahdi Hashemi · 2019 · Journal Of Big Data
79. Cardiac decision making using higher order spectra
    Roshan Joy Martis, U. Rajendra Acharya, Kayapanda Muthana Mandana, A.K. Ray, Chandan Chakraborty · 2012 · Biomedical Signal Processing and Control
80. A unified framework for semantic shot classification in sports video
    Ling‐Yu Duan, Min Gang Xu, Qi Chuan Tian · 2005 · IEEE Transactions on Multimedia
81. Noise injection for training artificial neural networks: A comparison with weight decay and early stopping
    Richard M. Zur, Yulei Jiang, Lorenzo L. Pesce, Karen Drukker · 2009 · Medical Physics
82. Depth Image-Based Rendering With Advanced Texture Synthesis for 3-D Video
    Patrick Ndjiki-Nya, Martin Köppel, Dimitar Doshkov · 2011 · IEEE Transactions on Multimedia
83. Probability density estimation from optimally condensed data samples
    Mark Girolami, Chao He · 2003 · IEEE Transactions on Pattern Analysis and Machine Intelligence
84. Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations
    Aleksandra Wolanin, Gustau Camps‐Valls, Luis Gómez‐Chova · 2019 · Remote Sensing of Environment
85. Atmospheric Correction of Satellite Ocean-Color Imagery During the PACE Era
    Robert Frouin, Bryan A. Franz, Amir I. Ibrahim, Kirk Knobelspiesse, Ziauddin Ahmad, Brian Cairns, Jacek Chowdhary, Heidi M. Dierssen, Jing Tan, Оleg Dubovik et al. · 2019 · Frontiers in Earth Science
86. Modeling score distributions for combining the outputs of search engines
    Raghaven Manmatha, T.M. Rath, F. Feng · 2001 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
87. Assessing the limits of genomic data integration for predicting protein networks
    Long J. Lu, Yu Xia, Alberto Paccanaro, Haiyuan Yu, Mark Gerstein · 2005 · Genome Research
88. Pedestrian detection with convolutional neural networks
    Máté Szarvas, A. Yoshizawa, M. Yamamoto, J. Ogata · 2005 · IEEE Intelligent Vehicles Symposium
89. Linear spectral mixture models and support vector machines for remote sensing
    Martin Brown, Hugh G. Lewis, S.R. Gunn · 2000 · IEEE Transactions on Geoscience and Remote Sensing
90. Optical Tomographic Image Reconstruction Based on Beam Propagation and Sparse Regularization
    Ulugbek S. Kamilov, Ioannis N. Papadopoulos, Morteza H. Shoreh · 2016 · IEEE Transactions on Computational Imaging
91. Confidence estimation methods for neural networks: a practical comparison
    G. Papadopoulos, P.J. Edwards, Alan F. Murray · 2001 · IEEE Transactions on Neural Networks
92. Artificial intelligence for automatic prediction of required surface roughness by monitoring wear on face mill teeth
    Danil Yurievich Pimenov, Andrés Bustillo, Tadeusz Mikołajczyk · 2017 · Journal of Intelligent Manufacturing
93. Urban water demand forecasting and uncertainty assessment using ensemble wavelet-bootstrap-neural network models
    Mukesh Kumar Tiwari, Jan Adamowski · 2013 · Water Resources Research
94. Modeling the hemodynamic response in fMRI using smooth FIR filters
    Cyril Goutte, Finn Årup Nielsen, Lars Kai Hansen · 2000 · IEEE Transactions on Medical Imaging
95. Optimal linear combination of neural networks for improving classification performance
    N. Ueda · 2000 · IEEE Transactions on Pattern Analysis and Machine Intelligence
96. A review of studies applying machine learning models to predict occupancy and window-opening behaviours in smart buildings
    Xilei Dai, Junjie Liu, Xin Zhang · 2020 · Energy and Buildings
97. Detecting Epileptic Seizures in Long-term Human EEG: A New Approach to Automatic Online and Real-Time Detection and Classification of Polymorphic Seizure Patterns
    Ralph Meier, Heike Dittrich, Andreas Schulze‐Bonhage, Ad Aertsen · 2008 · Journal of Clinical Neurophysiology
98. Attribute Clustering for Grouping, Selection, and Classification of Gene Expression Data
    Wai-Ho Au, Keith C. C. Chan, Alexander K.C. Wong, Yang Wang · 2005 · IEEE Transactions on Computational Biology and Bioinformatics
99. Application of machine-learning methods in forest ecology: recent progress and future challenges
    Zelin Liu, C. H. Peng, Timothy T. Work, Jean‐Noël Candau, Annie DesRochers, Daniel Kneeshaw · 2018 · Environmental Reviews
100. Entropy and Correntropy Against Minimum Square Error in Offline and Online Three-Day Ahead Wind Power Forecasting
     Ricardo Jorge Bessa, Vladimiro Miranda, João Manuel Portela da Gama · 2009 · IEEE Transactions on Power Systems