Neural Networks for Pattern Recognition

Cited by (1,026)

Items 101–200 of 1,026

1. An experimental comparison of classification algorithms for imbalanced credit scoring data sets
   Iain Brown, Christophe Mues · 2011 · Expert Systems with Applications
2. ECG beat classification using PCA, LDA, ICA and Discrete Wavelet Transform
   Martis, Roshan Joy, Acharya, U. Rajendra, Min, Lim Choo · 2013 · Biomedical Signal Processing and Control
3. A theoretical study on six classifier fusion strategies
   Ludmila Ilieva Kuncheva · 2002 · IEEE Transactions on Pattern Analysis and Machine Intelligence
4. Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data
   Jo, Taeho, Nho, Kwangsik, Saykin, Andrew J. · 2019 · Frontiers in Aging Neuroscience
5. Can correct protein models be identified?
   Björn Wallner, Arne Elofsson · 2003 · Protein Science
6. The Linear Programming Approach to Approximate Dynamic Programming
   Daniela Pucci de Farias, Benjamin Van Roy · 2003 · Operations Research
7. Bankruptcy prediction for credit risk using neural networks: A survey and new results
   Amir F. Atiya · 2001 · IEEE Transactions on Neural Networks
8. Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances
   Abbas Khosravi, Saeid Nahavandi, Douglas Creighton, Amir F. Atiya · 2011 · IEEE Transactions on Neural Networks
9. An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia
   Masoud Bakhtyari Kia, Saied Pirasteh, Biswajeet Pradhan · 2011 · Environmental Earth Sciences
10. Face recognition with radial basis function (RBF) neural networks
    Meng Joo Er, Shiqian Wu, Juwei Lu, Hock Lye Toh · 2002 · IEEE Transactions on Neural Networks
11. Prediction with Gaussian Processes: From Linear Regression to Linear Prediction and Beyond
    Christopher K. I. Williams · 1998 · Springer eBooks
12. Analysis and visualization of single‐trial event‐related potentials
    Tzyy‐Ping Jung, Scott Makeig, Marissa Westerfield, Jeanne Townsend, Eric Courchesne, Terrence J. Sejnowski A B · 2001 · Human Brain Mapping
13. Introduction to Machine Learning
    Taiwo Oladipupo Ayodele · 2010 · InTech eBooks
14. Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation
    Mikhail Lebedev, Miguel A. L. Nicolelis · 2017 · Physiological Reviews
15. Inverting Visual Representations with Convolutional Networks
    Alexey Dosovitskiy, Thomas Brox · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
16. Assessing transferability of ecological models: an underappreciated aspect of statistical validation
    Seth J. Wenger, Julian D. Olden · 2012 · Methods in Ecology and Evolution
17. A Review of Feature Selection and Its Methods
    B. Venkatesh, J. Anuradha · 2019 · Cybernetics and Information Technologies
18. Introduction to machine learning for brain imaging
    Steven Lemm, Benjamin Blankertz, Thorsten Dickhaus, Klaus‐Robert Müller · 2010 · NeuroImage
19. AI in marketing, consumer research and psychology: A systematic literature review and research agenda
    Mariani, Marcello M., Perez‐Vega, Rodrigo, Wirtz, Jochen · 2022 · Psychology & Marketing
20. The connection between regularization operators and support vector kernels
    Alex J. Smola, Bernhard Schölkopf, Klaus‐Robert Müller · 1998 · Neural Networks
21. Bayesian Regularization of Neural Networks
    Frank R. Burden, David Alan Winkler · 2008 · Methods in molecular biology
22. Framewise phoneme classification with bidirectional LSTM networks
    Alexander Graves, Jürgen Schmidhuber · 2006 · International Joint Conference on Neural Networks (IJCNN)
23. Comparison between geometry-based and Gabor-wavelets-based facial expression recognition using multi-layer perceptron
    Zhengyou Zhang, Lyons, M., Schuster, M., Akamatsu, S. · 2002 · Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition
24. The construction of movement by the spinal cord
    Matthew C. Tresch, Philippe Saltiel, Emilio Bizzi · 1999 · Nature Neuroscience
25. Application of Associative Neural Networks for Prediction of Lipophilicity in ALOGPS 2.1 Program
    Igor V. Tetko, Vsevolod Yu. Tanchuk · 2002 · Journal of Chemical Information and Computer Sciences
26. The application of artificial neural networks to the analysis of remotely sensed data
    Jean‐François Mas, Juan J. Flores · 2007 · International Journal of Remote Sensing
27. Evaluation of convolutional neural networks for visual recognition
    C. Nebauer · 1998 · IEEE Transactions on Neural Networks
28. Metabolomics: Current technologies and future trends
    Katherine A. Hollywood, Daniel R. Brison, Royston Goodacre · 2006 · PROTEOMICS
29. Bump hunting in high-dimensional data
    Jerome H. Friedman, N. I. Fisher · 1999 · Statistics and Computing
30. Learning gender with support faces
    Baback Moghaddam, Ming–Hsuan Yang · 2002 · IEEE Transactions on Pattern Analysis and Machine Intelligence
31. Reinforcement Learning and Approximate Dynamic Programming for Feedback Control
    2012
32. Multilayer Perceptron: Architecture Optimization and Training
    Hassan Ramchoun, Mohammed Amine Janati Idrissi, Youssef Ghanou · 2016 · International Journal of Interactive Multimedia and Artificial Intelligence
33. A Review of Feature Reduction Techniques in Neuroimaging
    Mwangi, Benson, Tian, Tian Siva, Soares, Jair C. · 2014 · Neuroinformatics
34. Artificial Neural Network
    Sun-Chong Wang · 2003 · Springer eBooks
35. Pattern analysis for machine olfaction: a review
    Ricardo Gutiérrez‐Osuna · 2002 · IEEE Sensors Journal
36. Parametric hidden Markov models for gesture recognition
    Andrew David Wilson, Aaron Bobick · 1999 · IEEE Transactions on Pattern Analysis and Machine Intelligence
37. Artificial neural networks applied to polymer composites: a review
    Zongwei Zhang, Klaus FRIEDRICH · 2003 · Composites Science and Technology
38. Mathematics for Machine Learning
    Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong · 2020 · Cambridge University Press eBooks
39. A new assessment of European forests carbon exchanges by eddy fluxes and artificial neural network spatialization
    Dario Papale, Riccardo Valentini · 2003 · Global Change Biology
40. Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges
    Muhammad Usama, Junaid Qadir, Aunn Raza, Hunain Arif, Kok‐Lim Alvin Yau, Yehia Elkhatib, Amir Hussain, Ala Al‐Fuqaha · 2019 · IEEE Access
41. A Novel Transductive SVM for Semisupervised Classification of Remote-Sensing Images
    Lorenzo Bruzzone, Mingmin Chi, Mattia Marconcini · 2006 · IEEE Transactions on Geoscience and Remote Sensing
42. Unmasking Clever Hans predictors and assessing what machines really learn
    Sebastian Lapuschkin, Stephan Wäldchen, Alexander Binder, Grégoire Montavon, Wojciech Samek, Klaus‐Robert Müller · 2019 · RePEc: Research Papers in Economics
43. Comparison of Support Vector Machine and Artificial Neural Network Systems for Drug/Nondrug Classification
    Evgeny Byvatov, Uli Fechner, Jens Sadowski, Gisbert Schneider · 2003 · Journal of Chemical Information and Computer Sciences
44. Inferring the rules of interaction of shoaling fish
    James E. Herbert‐Read, Andréa Perna, Richard P. Mann, Timothy M. Schaerf, David J. T. Sumpter, Ashley J. W. Ward · 2011 · Proceedings of the National Academy of Sciences
45. Evolutionary Optimization of Computationally Expensive Problems via Surrogate Modeling
    Yew-Soon Ong, Prasanth B. Nair, Andy J. Keane · 2003 · AIAA Journal
46. Stochastic neural computation. I. Computational elements
    Bryce Brown, HOWARD C. CARD · 2001 · IEEE Transactions on Computers
47. The Dangers of Extreme Counterfactuals
    Gary King, Langche Zeng · 2005 · Political Analysis
48. Using Neural Network Rule Extraction and Decision Tables for Credit-Risk Evaluation
    Bart Baesens, Rudy Setiono, Christophe Mues, Jan Vanthienen · 2003 · Management Science
49. Breaking Cryptographic Implementations Using Deep Learning Techniques
    Houssem Maghrebi, Thibault Portigliatti, Emmanuel Prouff · 2016 · Lecture notes in computer science
50. Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components
    Gernot R Muller-Putz, Reinhold Scherer, Christian Brauneis, Gert Pfurtscheller · 2005 · Journal of Neural Engineering
51. On evaluating stream learning algorithms
    João Manuel Portela da Gama, Raquel Sebastião, Pedro Pereira Rodrigues · 2012 · Machine Learning
52. How many people are able to operate an EEG-based brain-computer interface (BCI)?
    Guger, C., Edlinger, G., Harkam, W., Niedermayer, I., Pfurtscheller, G. · 2003 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
53. A survey of anomaly detection techniques in financial domain
    Mohiuddin Ahmed, Abdun Naser Mahmood, Rafiqul Islam · 2015 · Future Generation Computer Systems
54. A survey of fuzzy clustering algorithms for pattern recognition. I
    Andrea Baraldi, Palma N. Blonda · 1999 · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
55. Visualizing Deep Convolutional Neural Networks Using Natural Pre-images
    Aravindh Mahendran, Andrea Vedaldi · 2016 · International Journal of Computer Vision
56. Assessing PM _2.5 Exposures with High Spatiotemporal Resolution across the Continental United States
    Di, Qian, Kloog, Itai, Koutrakis, Petros, Lyapustin, Alexei, Wang, Yujie, Schwartz, Joel · 2016 · Environmental Science & Technology
57. Latent feature representation with stacked auto-encoder for AD/MCI diagnosis
    The Alzheimer’s Disease Neuroimaging Initiative, Heung‐Il Suk, Seong–Whan Lee, Dinggang G. Shen · 2013 · Brain Structure and Function
58. Current trends in Graz brain-computer interface (BCI) research
    Gert Pfurtscheller, Christa Neuper, C. Guger, W. Harkam, Herbert Ramoser, Alois Schlögl, Bernhard Obermaier, M. Pregenzer · 2000 · IEEE Transactions on Rehabilitation Engineering
59. Brain–Computer Communication: Motivation, Aim, and Impact of Exploring a Virtual Apartment
    Robert Leeb, Felix Lee, Claudia Keinrath, Reinhold Scherer, Horst Bischof, Gert Pfurtscheller · 2007 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
60. Support Vector Channel Selection in BCI
    TN Lal, M. Schroder, Thilo Hinterberger, Jason Weston, Martin Bogdan, Niels Birbaumer, Bernhard Schölkopf · 2004 · IEEE Transactions on Biomedical Engineering
61. Probabilistic Linear Discriminant Analysis
    Sergey Ioffe · 2006 · Lecture notes in computer science
62. A Patient-Adapting Heartbeat Classifier Using ECG Morphology and Heartbeat Interval Features
    Philip de Chazal, Richard B. Reilly · 2006 · IEEE Transactions on Biomedical Engineering
63. Deep Android Malware Detection
    Niall McLaughlin, Jesús Martínez del Rincón, BooJoong Kang, Suleiman Y. Yerima, Paul C. Miller, Sakir Sezer, Yeganeh Safaei, Erik Trickel, Ziming Zhao, Adam Doupé et al. · 2017 · ACM Conference on Data and Application Security and Privacy (CODASPY)
64. OPTIMIZING LONG INTRINSIC DISORDER PREDICTORS WITH PROTEIN EVOLUTIONARY INFORMATION
    KANG PENG, Slobodan Vučetić, Predrag Radivojac A, Celeste J. Brown, A. Keith Dunker, Zoran Obradovic A · 2005 · Journal of Bioinformatics and Computational Biology
65. Ensemble Methods in Data Mining
    Giovanni Seni, John F. Elder · 2010 · Synthesis lectures on data mining and knowledge discovery
66. Bayesian Neural Networks for Internet Traffic Classification
    Auld, Tom, Moore, Andrew W., Gull, Stephen F. · 2007 · IEEE Transactions on Neural Networks
67. Multimode process monitoring with Bayesian inference‐based finite Gaussian mixture models
    Jie Yu, S. Joe Qin · 2008 · AIChE Journal
68. Supramolecular Analytical Chemistry
    Eric V. Anslyn · 2007 · The Journal of Organic Chemistry
69. Generalizing Surrogate-Assisted Evolutionary Computation
    Dudy Lim, Yaochu Jin, Yew-Soon Ong, Bernhard Sendhoff · 2009 · IEEE Transactions on Evolutionary Computation
70. Compressed residual-VGG16 CNN model for big data places image recognition
    Hussam Qassim, Abhishek Verma, David Feinzimer · 2018 · IEEE Annual Computing and Communication Workshop and Conference (CCWC)
71. Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement
    Yaochu Jin · 2000 · IEEE Transactions on Fuzzy Systems
72. RadioUNet: Fast Radio Map Estimation With Convolutional Neural Networks
    Ron Levie, Çağkan Yapar, Gitta Kutyniok, Giuseppe Caire · 2021 · IEEE Transactions on Wireless Communications
73. The Future of Memristors: Materials Engineering and Neural Networks
    Kaixuan Sun, Jingsheng Chen, Xiaobing Yan · 2020 · Advanced Functional Materials
74. A general framework for adaptive processing of data structures
    Paolo Frasconi, Marco Gori, Alessandro Sperduti · 1998 · IEEE Transactions on Neural Networks
75. Discriminative Least Squares Regression for Multiclass Classification and Feature Selection
    Shiming Xiang, Feiping Nie, Gaofeng Meng, Chunhong Pan, Changshui Zhang · 2012 · IEEE Transactions on Neural Networks and Learning Systems
76. Learning words from sights and sounds: a computational model
    Deb Kumar Roy, Alex Pentland · 2002 · Cognitive Science
77. Obstacle Detection and Terrain Classification for Autonomous Off-Road Navigation
    Roberto Manduchi, A. Castaño, A. Talukder · 2004 · Autonomous Robots
78. Sigma-Point Kalman Filters for Nonlinear Estimation and Sensor-Fusion: Applications to Integrated Navigation
    Rudolph van der Merwe, Eric A. Wan, S.J. Julier · 2004 · AIAA Guidance, Navigation, and Control Conference and Exhibit
79. Minerva: enabling low-power, highly-accurate deep neural network accelerators
    Reagen, Brandon, Whatmough, Paul, Adolf, Robert, Rama, Saketh, Lee, Hyunkwang, Lee, Sae Kyu, Hernández-Lobato, José Miguel, Wei, Gu-Yeon, Brooks, David · 2016 · ACM SIGARCH Computer Architecture News
80. Supervised Machine Learning for Population Genetics: A New Paradigm
    Schrider, Daniel R., Kern, Andrew D. · 2018 · Trends in Genetics
81. Neural network load forecasting with weather ensemble predictions
    Taylor, J.W., Buizza, R. · 2002 · IEEE Transactions on Power Systems
82. The Role of Occam's Razor in Knowledge Discovery
    Domingos, Pedro · 1999 · Data Mining and Knowledge Discovery
83. Data analysis for electronic nose systems
    Simon M. Scott, David James, Zulfiqur Ali · 2006 · Microchimica Acta
84. MicroRNA signatures predict oestrogen receptor, progesterone receptor and HER2/neureceptor status in breast cancer
    Aoïfe Lowery, Nicola Miller, Amanda Devaney, Roisin E. McNeill, Pamela A Davoren, Christophe Lemetre, Vladimı́r Beneš, Sabine Schmidt, Jonathon Blake, Graham Ball et al. · 2009 · Breast Cancer Research
85. Development of a capsule endoscopy scoring index for small bowel mucosal inflammatory change
    Ian Mark Gralnek, Roberto DeFranchis, Ernest Gerald Seidman, Jonathan A. Leighton, Peter E. Legnani, B. S. Lewis · 2007 · Alimentary Pharmacology & Therapeutics
86. Short-Term Load Forecasting: Similar Day-Based Wavelet Neural Networks
    Ying Chen, Peter B. Luh, Che Guan, Yige Zhao, Laurent D. Michel, Matthew Coolbeth, Peter B. Friedland, Stephen J. Rourke · 2009 · IEEE Transactions on Power Systems
87. On the Use of the Adjusted Rand Index as a Metric for Evaluating Supervised Classification
    Jorge Manuel Santos, Mark J. Embrechts · 2009 · Lecture notes in computer science
88. Accurate freeway travel time prediction with state-space neural networks under missing data
    Hans van Lint, Serge Paul Hoogendoorn, Henk J. van Zuylen · 2005 · Transportation Research Part C Emerging Technologies
89. Proposed minimum reporting standards for data analysis in metabolomics
    Royston Goodacre, David Broadhurst, Age K. Smilde, Bruce S. Kristal, John David Baker, Richard D. Beger, Conrad Bessant, Susan C. Connor, Giorgio Capuani, Andrew Craig et al. · 2007 · Metabolomics
90. Types of machine learning algorithms
    Oladipupo, Taiwo · 2010 · New Advances in Machine Learning
91. Graph analysis of functional brain networks: practical issues in translational neuroscience
    Fabrizio De Vico Fallani, Jonas Richiardi, Mario Chávez, Sophie Achard · 2014 · Philosophical Transactions of the Royal Society B Biological Sciences
92. A neural network classifier based on Dempster-Shafer theory
    Thierry Denœux · 2000 · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans
93. Methodology for long-term prediction of time series
    Antti Sorjamaa, Hao Jin, Nima Reyhani · 2007 · Neurocomputing
94. Data mining methods in the prediction of Dementia: A real-data comparison of the accuracy, sensitivity and specificity of linear discriminant analysis, logistic regression, neural networks, support vector machines, classification trees and random forests
    João Paulo Marôco, Dina Silva, Ana Pina Rodrigues, Manuela Guerreiro, Isabel J. Santana, Alexandre de Mendonça · 2011 · BMC Research Notes
95. I NFERENCE AND C OMPUTATION WITH P OPULATION C ODES
    Alexandre Pouget, Peter Dayan, Richard S. Zemel · 2003 · Annual Review of Neuroscience
96. Quantitative analysis of salt-affected soil reflectance spectra: A comparison of two adaptive methods (PLSR and ANN)
    Jamshid Farifteh, Freek D. van der Meer, Clement Atzberger · 2007 · Remote Sensing of Environment
97. Arrhythmia recognition and classification using combined linear and nonlinear features of ECG signals
    Fatin A. Elhaj, Naomie Binti Salim, Arief Ruhullah A. Harris, Tan Tian Swee, Taqwa Ahmed · 2016 · Computer Methods and Programs in Biomedicine
98. How many hidden layers and nodes?
    Demetris N. Stathakis · 2009 · International Journal of Remote Sensing
99. Combining Global and Local Surrogate Models to Accelerate Evolutionary Optimization
    Zongzhao Zhou, Yew-Soon Ong, Prasanth B. Nair, Andy J. Keane, Kai‐Yew Lum · 2006 · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)
100. Predicting compressive strength of lightweight foamed concrete using extreme learning machine model
     Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Ravinesh Chand Deo, Ameer A. Hilal, Abbas M. Abd, Laura María Cornejo-Bueno, Sancho Salcedo‐Sanz, Moncef L. Nehdi · 2017 · Advances in Engineering Software