Neural Networks for Pattern Recognition

Cited by (1,026)

Items 301–400 of 1,026

1. Alternative methods for predicting species distribution: an illustration with Himalayan river birds
   Stéphanie Manel, Jean-Marie Dias, Sebastian T. Buckton, Steve J. Ormerod · 1999 · Journal of Applied Ecology
2. Improving Offline Handwritten Text Recognition with Hybrid HMM/ANN Models
   Salvador España-Boquera, María José Castro-Bleda, Jorge Gorbe-Moya, Francisco Zamora-Martínez · 2010 · IEEE Transactions on Pattern Analysis and Machine Intelligence
3. Data dimensionality reduction with application to simplifying rbf network structure and improving classification performance
   Xiuju Fu, Lipo Wang · 2003 · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
4. Calibration drift in regression and machine learning models for acute kidney injury
   Davis, Sharon E, Lasko, Thomas A, Chen, Guanhua, Siew, Edward D, Matheny, Michael E · 2017 · Journal of the American Medical Informatics Association
5. Rapid prototyping of an EEG-based brain-computer interface (BCI)
   Christoph Guger, Alois Schlögl, Christa Neuper, D. Walterspacher, T. Strein, Gert Pfurtscheller · 2001 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
6. A theoretical and experimental analysis of linear combiners for multiple classifier systems
   Giorgio Fumera, Fabio Roli · 2005 · IEEE Transactions on Pattern Analysis and Machine Intelligence
7. Slow feature analysis for human action recognition
   Zhang Zhang, Dacheng Tao · 2012 · IEEE Transactions on Pattern Analysis and Machine Intelligence
8. Machine learning in side-channel analysis: a first study
   Gabriel Hospodar, Benedikt Gierlichs, Elke De Mulder, Ingrid M.R. Verbauwhede, Joos P. L. Vandewalle · 2011 · Journal of Cryptographic Engineering
9. Modeling and Forecasting Electricity Prices with Input/Output Hidden Markov Models
   A. MateoGonzalez, Antonio Muñoz San Roque, Javier García‐González · 2005 · IEEE Transactions on Power Systems
10. Detection of the Dipicolinic Acid Biomarker in Bacillus Spores Using Curie-Point Pyrolysis Mass Spectrometry and Fourier Transform Infrared Spectroscopy
    Royston Goodacre, Beverley Shann, Richard J. Gilbert · 1999 · Analytical Chemistry
11. Pcons: A neural‐network–based consensus predictor that improves fold recognition
    Jesper Lundström, Leszek Rychlewski, Janusz Marek Bujnicki, Arne Elofsson · 2001 · Protein Science
12. Machine Learning with Applications in Breast Cancer Diagnosis and Prognosis
    Wenbin Yue, Zidong Wang, Hongwei Chen, Annette M. Payne, Xiaohui Liu · 2018 · Designs
13. Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model
    Ravinesh Chand Deo, Özgür Kişi, Vijay Pal Singh · 2016 · Atmospheric Research
14. Information theoretic clustering
    Erhan Gökçay, José Carlos Príncipe · 2002 · IEEE Transactions on Pattern Analysis and Machine Intelligence
15. Machine learning in geo- and environmental sciences: From small to large scale
    Pejman Tahmasebi, Serveh Kamrava, Tao Bai, Muhammad Sahimi · 2020 · Advances in Water Resources
16. Detection of Skin Cancer by Classification of Raman Spectra
    S. Sigurdsson, Peter Alshede Philipsen, Lars Kai Hansen, Jan Otto Larsen, Monika Gniadecka, Hans Christian Wulf · 2004 · IEEE Transactions on Biomedical Engineering
17. Modified Gath-Geva fuzzy clustering for identification of Takagi-Sugeno fuzzy models
    János Abonyi, Robert Babuška, Ferenc Szeifert · 2002 · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
18. Prediction of high-responding peptides for targeted protein assays by mass spectrometry
    Vincent A. Fusaro, D.R. Mani, Jill P. Mesirov, Steven A. Carr · 2009 · Nature Biotechnology
19. A functional hypothesis for adult hippocampal neurogenesis: Avoidance of catastrophic interference in the dentate gyrus
    Laurenz Wiskott, Malte J. Rasch, Gerd Kempermann · 2006 · Hippocampus
20. Steady-state somatosensory evoked potentials: suitable brain signals for brain-computer interfaces?
    Gernot R Muller-Putz, Reinhold Scherer, Christa Neuper · 2006 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
21. Urban Air Pollution Monitoring System With Forecasting Models
    Khaled Bashir Shaban, Abdullah Kadri, Eman Rezk · 2016 · IEEE Sensors Journal
22. Multi-model ensemble predictions of precipitation and temperature using machine learning algorithms
    Ahmed, Kamal, Sachindra, D.A., Shahid, Shamsuddin, Iqbal, Zafar, Nawaz, Nadeem, Khan, Najeebullah · 2020 · Atmospheric Research
23. Conversion of EEG activity into cursor movement by a brain-computer interface (BCI)
    G. Fabiani, Dennis J. McFarland, Jonathan R. Wolpaw, Gert Pfurtscheller · 2004 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
24. Dynamic clustering using particle swarm optimization with application in image segmentation
    Mahamed G. H. Omran, Ayed A. Salman, Andries Petrus Engelbrecht · 2005 · Pattern Analysis and Applications
25. An Active Learning Approach to Hyperspectral Data Classification
    Suju Rajan, Joydeep Ghosh, Melba M. Crawford · 2008 · IEEE Transactions on Geoscience and Remote Sensing
26. VIBRATION-BASED DAMAGE DETECTION USING STATISTICAL PROCESS CONTROL
    Michael Fugate, Hoon Sohn, Charles R. Farrar · 2001 · Mechanical Systems and Signal Processing
27. Feature extraction from wavelet coefficients for pattern recognition tasks
    S. Pittner, Sagar V. Kamarthi · 1999 · IEEE Transactions on Pattern Analysis and Machine Intelligence
28. Mapping the biomass of Bornean tropical rain forest from remotely sensed data
    Giles M. Foody, Mark E. J. Cutler, Julia Mcmorrow, Dieter R. Pelz, Hamzah Tangki, Doreen S. Boyd, Ian Douglas · 2001 · Global Ecology and Biogeography
29. Active Learning With Convolutional Neural Networks for Hyperspectral Image Classification Using a New Bayesian Approach
    J. Haut, Mercedes Eugenia Paoletti, J. Plaza, Jun Yu Li, A. Plaza · 2018 · IEEE Transactions on Geoscience and Remote Sensing
30. Freeway Travel Time Prediction with State-Space Neural Networks: Modeling State-Space Dynamics with Recurrent Neural Networks
    Hans van Lint, Serge Paul Hoogendoorn, Henk J. van Zuylen · 2002 · Transportation Research Record Journal of the Transportation Research Board
31. Recurrent neural network model with Bayesian training and mutual information for response prediction of large buildings
    Carlos A. Perez-Ramirez, Juan P. Amézquita-Sánchez, Martin Valtierra‐Rodriguez, Hojjat Adeli, Aurelio Domínguez-González, René de Jesús Romero-Troncoso · 2018 · Engineering Structures
32. PARTICLE SWARM OPTIMIZATION METHOD FOR IMAGE CLUSTERING
    Mahamed G. H. Omran, Andries Petrus Engelbrecht, Ayed A. Salman · 2005 · International Journal of Pattern Recognition and Artificial Intelligence
33. Acquired self‐control of insula cortex modulates emotion recognition and brain network connectivity in schizophrenia
    Sergio Ruíz, Sangkyun Lee, Surjo Raphael Soekadar, Andrea Carìa, Ralf Veit, Tilo T. J. Kircher, Niels Birbaumer, Ranganatha Sitaram · 2011 · Human Brain Mapping
34. Orthogonal subspace projection (OSP) revisited: a comprehensive study and analysis
    Chein‐I Chang · 2005 · IEEE Transactions on Geoscience and Remote Sensing
35. Probabilistic neural-network structure determination for pattern classification
    Kezhi Mao, K. C. B. Tan, W. Ser · 2000 · IEEE Transactions on Neural Networks
36. Inductive biases for deep learning of higher-level cognition
    Goyal, Anirudh, Bengio, Yoshua · 2022 · Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
37. Color Constancy Using Natural Image Statistics and Scene Semantics
    Arjan Gijsenij, Theo Gevers · 2010 · IEEE Transactions on Pattern Analysis and Machine Intelligence
38. Exploration of data science techniques to predict fatigue strength of steel from composition and processing parameters
    Ankit Agrawal, Parijat Deshpande, Ahmet Cecen, B. P. Gautham, Alok Choudhary, Surya R. Kalidindi · 2014 · Integrating materials and manufacturing innovation
39. Patterns of cell death in mouse anteroventral cochlear nucleus neurons after unilateral cochlea removal
    Sam P. Mostafapour, Sarah L. Cochran, N. Mae del Puerto, Edwin W. Rubel · 2000 · The Journal of Comparative Neurology
40. Activity Recognition Using Hybrid Generative/Discriminative Models on Home Environments Using Binary Sensors
    Fco. Javier Ordóñez, Paula de Toledo, Araceli Sanchis · 2013 · Sensors
41. Aggregate features and ADABOOST for music classification
    James Bergstra, Norman Casagrande, Dumitru Erhan, Douglas Eck, Balázs Kégl · 2006 · Machine Learning
42. High-Speed Face Recognition Based on Discrete Cosine Transform and RBF Neural Networks
    M.J. Er, Wanshi Chen, Shiqian Wu · 2005 · IEEE Transactions on Neural Networks
43. Using neural networks and cellular automata for modelling intra‐urban land‐use dynamics
    Cláudia Maria de Almeida, José Marinaldo Gleriani, Emiliano Ferreira Castejon · 2008 · International Journal of Geographical Information Systems
44. Toward optical signal processing using Photonic Reservoir Computing
    Kristof Vandoorne, Wouter Dierckx, Benjamin Schrauwen, David Verstraeten, Roel Baets, Peter Bienstman, Jan Van Campenhout · 2008 · Optics Express
45. Evolutionary Robotics: What, Why, and Where to
    Stéphane Doncieux, Nicolas Bredèche, Jean-Baptiste Mouret, Agoston Endre Eiben · 2015 · Frontiers in Robotics and AI
46. Ensembles of Learning Machines
    Giorgio Valentini, Francesco Masulli · 2002 · Lecture notes in computer science
47. A new methodology of extraction, optimization and application of crisp and fuzzy logical rules
    Włodzisław Duch, Rafał Adamczak, Krzysztof Grąbczewski · 2001 · IEEE Transactions on Neural Networks
48. Fatigue modeling using neural networks: A comprehensive review
    Jie Chen, Yongming Liu · 2022 · Fatigue & Fracture of Engineering Materials & Structures
49. Motion planning for multitarget surveillance with mobile sensor agents
    Zhijun Tang, Ümi̇t Özgüner · 2005 · IEEE Transactions on Robotics
50. Memristor-Based Multilayer Neural Networks With Online Gradient Descent Training
    Daniel Soudry, Dotan Di Castro, A. Gal, Avinoam Kolodny A, Shahar Kvatinsky · 2015 · IEEE Transactions on Neural Networks and Learning Systems
51. NEURAL NETWORK MODELS FOR EARTHQUAKE MAGNITUDE PREDICTION USING MULTIPLE SEISMICITY INDICATORS
    Ashif Panakkat, Hojjat Adeli · 2007 · International Journal of Neural Systems
52. Forecasting tourism demand to Catalonia: Neural networks vs. time series models
    Oscar Clavería, Salvador Torra · 2013 · Economic Modelling
53. A Theory of Interactive Parallel Processing: New Capacity Measures and Predictions for a Response Time Inequality Series.
    James T. Townsend, Michael J. Wenger · 2004 · Psychological Review
54. Indian stock market prediction using artificial neural networks on tick data
    Dharmaraja Selvamuthu, Vineet Kumar, Abhishek Mishra · 2019 · Financial Innovation
55. A determination of parton distributions with faithful uncertainty estimation
    Richard D. Ball, Luigi Del Debbio, Stefano Forte · 2008 · Nuclear Physics B
56. The feasibility of supporting large-scale live streaming applications with dynamic application end-points
    Kunwadee Sripanidkulchai, Aditya Ganjam, Bruce MacDowell Maggs · 2004 · ACM SIGCOMM Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications (SIGCOMM)
57. Detecting unknown malicious code by applying classification techniques on OpCode patterns
    Asaf Shabtai, Robert Moskovitch, Clint Feher, Shlomi Dolev, Yuval Elovici · 2012 · Security Informatics
58. Construction of Optimal Prediction Intervals for Load Forecasting Problems
    Abbas Khosravi, Saeid Nahavandi, Doug Creighton · 2010 · IEEE Transactions on Power Systems
59. Bayesian Inference: An Introduction to Principles and Practice in Machine Learning
    Michael E. Tipping · 2004 · Lecture notes in computer science
60. EVCLUS: Evidential Clustering of Proximity Data
    Thierry Denœux, Marie-Hélène Masson · 2004 · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
61. Automatic Detection of Voice Impairments by Means of Short-Term Cepstral Parameters and Neural Network Based Detectors
    Juan Ignacio Godino-Llorente, Pedro Gómez‐Vilda · 2004 · IEEE Transactions on Biomedical Engineering
62. Self-organizing Maps as Substitutes for K-Means Clustering
    Fernando Bação, Victor J. A. S. Lobo, Marco Paìnho · 2005 · Lecture notes in computer science
63. Structural health monitoring algorithm comparisons using standard data sets
    Elói Figueiredo, Gyuhae Park, Joaquim Azevedo Figueiras, Charles R. Farrar, Keith Worden B · 2009
64. Multi-Objective Based Spatio-Temporal Feature Representation Learning Robust to Expression Intensity Variations for Facial Expression Recognition
    Kim, Dae Hoe, Baddar, Wissam J., Jang, Jinhyeok, Ro, Yong Man · 2019 · IEEE Transactions on Affective Computing
65. Neural network interatomic potential for the phase change material GeTe
    Gabriele Cesare Sosso, Giacomo Miceli, Sebastiano Caravati, Jörg Behler, Marco Bernasconi · 2012 · Physical Review B
66. Predicting Tissue Outcome in Acute Human Cerebral Ischemia Using Combined Diffusion- and Perfusion-Weighted MR Imaging
    Ona Wu, Walter J. Koroshetz, Leif Østergaard, Ferdinando S. Buonanno, William A. Copen, R. Gilberto González, Guy A. Rordorf, Bruce Robert Rosen, Lee H. Schwamm, Robert M. Weisskoff et al. · 2001 · Stroke
67. Combinatorial codes in ventral temporal lobe for object recognition: Haxby (2001) revisited: is there a “face” area?
    Stephen José Hanson, Toshihiko Matsuka, James V. Haxby · 2004 · NeuroImage
68. Deep learning-based sentiment classification of evaluative text based on Multi-feature fusion
    Asad Abdi, Siti Mariyam Shamsuddin, Shafaatunnur Hasan, Md. Jalil Piran · 2019 · Information Processing & Management
69. Nuclear reaction network for primordial nucleosynthesis: a detailed analysis of rates, uncertainties and light nuclei yields
    Pasquale Dario Serpico, Salvatore Esposito, Fabio Iocco A · 2004 · Journal of Cosmology and Astroparticle Physics
70. Earthquake magnitude prediction in Hindukush region using machine learning techniques
    Khawaja Muhammad Asim, Francisco Martinez Alvarez, A. Basit, Tahir Iqbal · 2016 · Natural Hazards
71. Measurement of Retinal Vessel Widths From Fundus Images Based on 2-D Modeling
    J. Lowell, Andrew Hunter, DAVID H. STEEL · 2004 · IEEE Transactions on Medical Imaging
72. Techniques of Cluster Algorithms in Data Mining
    Johannes Grabmeier, Andreas Rudolph · 2002 · Data Mining and Knowledge Discovery
73. Modeling daily reference evapotranspiration via a novel approach based on support vector regression coupled with whale optimization algorithm
    Babak Mohammadi, Saeid Mehdizadeh · 2020 · Agricultural Water Management
74. Monthly Electric Energy Demand Forecasting Based on Trend Extraction
    Eva González‐Romera, Miguel Ángel Jaramillo-Morán, Diego Carmona-Fernández · 2006 · IEEE Transactions on Power Systems
75. A comparison of statistical approaches for modelling fish species distributions
    Julian D. Olden, Donald A. Jackson · 2002 · Freshwater Biology
76. Automated identification of diabetic retinal exudates in digital colour images
    Alireza Osareh · 2003 · British Journal of Ophthalmology
77. Driver Fatigue Classification With Independent Component by Entropy Rate Bound Minimization Analysis in an EEG-Based System
    Rifai Chai, Ganesh R. Naik, Tuan Nghia Nguyen · 2016 · IEEE Journal of Biomedical and Health Informatics
78. Computer vision applied to super resolution
    David P. Capel, Andrew Zisserman · 2003 · IEEE Signal Processing Magazine
79. A Computational-Intelligence-Based Approach for Detection of Exudates in Diabetic Retinopathy Images
    Alireza Osareh, Bita Shadgar, R. Markham · 2009 · IEEE Transactions on Information Technology in Biomedicine
80. A High-Throughput Screening Approach to Discovering Good Forms of Biologically Inspired Visual Representation
    Pinto, Nicolas, Doukhan, David, DiCarlo, James J., Cox, David D. · 2009 · PLoS Computational Biology
81. A neural-statistical approach to multitemporal and multisource remote-sensing image classification
    Lorenzo Bruzzone, D.F. Prieto, Sebastiano Bruno Serpico · 1999 · IEEE Transactions on Geoscience and Remote Sensing
82. A benchmarking of machine learning techniques for solar radiation forecasting in an insular context
    Philippe Lauret, Cyril Voyant, Ted Soubdhan, Mathieu David, Philippe Poggi · 2015 · Solar Energy
83. Sparse Modeling Using Orthogonal Forward Regression With PRESS Statistic and Regularization
    Sheng Chen, Xia Hong, Chris J. Harris, PAUL M. SHARKEY · 2004 · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
84. Mathematical Programming for Data Mining: Formulations and Challenges
    Patricia Bradley, Usama M. Fayyad, Olvi L. Mangasarian · 1999 · INFORMS journal on computing
85. Constructing boosting algorithms from SVMs: an application to one-class classification
    Gunnar Rätsch, S. Mika, Bernhard Schölkopf, K. Robert Müller · 2002 · IEEE Transactions on Pattern Analysis and Machine Intelligence
86. Nonlinear modelling and support vector machines
    Johan A. K. Suykens · 2002
87. River Flow Forecasting using Recurrent Neural Networks
    D. Nagesh Kumar, K. Srinivasa Raju, Thirunavukkarasu Sathish · 2004 · Water Resources Management
88. Machine Learning Methods for Property Prediction in Chemoinformatics:Quo Vadis?
    Alexandre A. Varnek, Igor I. Baskin · 2012 · Journal of Chemical Information and Modeling
89. Equivalence of restricted Boltzmann machines and tensor network states
    Jing Chen, Song Cheng, Haidong Xie, Lei Wang, Tao Xiang · 2018 · Physical review. B./Physical review. B
90. Computer‐Assisted Keyword and Document Set Discovery from Unstructured Text
    Gary King, Patrick Lam, Margaret E. Roberts · 2017 · American Journal of Political Science
91. Land-Cover Mapping by Markov Modeling of Spatial–Contextual Information in Very-High-Resolution Remote Sensing Images
    Gabriele Moser, Sebastiano Bruno Serpico, Jón Atli Benediktsson · 2012 · Proceedings of the IEEE
92. Bayesian Model Estimation and Selection for Epipolar Geometry and Generic Manifold Fitting
    Philip H. S. Torr · 2002 · International Journal of Computer Vision
93. Protein Classification with Multiple Algorithms
    Sotiris Diplaris, Grigorios Tsoumakas, Pericles A. Mitkas, Ioannis P. Vlahavas · 2005 · Lecture notes in computer science
94. Performance and Scalability of GPU-Based Convolutional Neural Networks
    Daniel Strigl, Klaus Kofler, Stefan Podlipnig · 2010 · Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)
95. New statistical models for long-range forecasting of southwest monsoon rainfall over India
    Madhavan Nair Rajeevan, Damodara S. Pai, R. Anil Kumar, B. LAL · 2006 · Climate Dynamics
96. Automatic modulation classification for cognitive radios using cyclic feature detection
    Barathram Ramkumar · 2009 · IEEE Circuits and Systems Magazine
97. Neural-network based analog-circuit fault diagnosis using wavelet transform as preprocessor
    Mehran Aminian, Farzan Aminian · 2000 · IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing
98. Urban Water Demand Forecasting with a Dynamic Artificial Neural Network Model
    Manoochehr Ghiassi, David K. Zimbra, H. Saidane · 2008 · Journal of Water Resources Planning and Management
99. Automatic Radar Waveform Recognition
    Jarmo Lundn, Visa Koivunen · 2007 · IEEE Journal of Selected Topics in Signal Processing
100. Designing classifier fusion systems by genetic algorithms
     Lakhmi C. Jain, Ludmila Ilieva Kuncheva · 2000 · IEEE Transactions on Evolutionary Computation