Okan K. Ersoy

发表

Support Vector Selection and Adaptation for Remote Sensing Classification

Gülsen Taskin Kaya, Mustafa E. Kamasak, Okan K. Ersoy, 2011, IEEE Transactions on Geoscience and Remote Sensing.

Optimal adaptive multistage image transform coding

Okan K. Ersoy, Sabzali Aghagolzadeh, O. Ersoy, 1991, IEEE Trans. Circuits Syst. Video Technol..

Neural networks and related emerging technologies

Okan K. Ersoy, H. H. Szu, 1990, Twenty-Third Annual Hawaii International Conference on System Sciences.

An Improved Real-Coded Genetic Algorithm Using the Heuristical Normal Distribution and Direction-Based Crossover

Okan K. Ersoy, Mingxin Zhang, Jiquan Wang, 2019, Comput. Intell. Neurosci..

Iterative optimization approach for the design of diffractive phase elements simultaneously implementing several optical functions

Xin Tan, Okan K. Ersoy, Guo-Zhen Yang, 1994 .

Fast and parallel algorithms for fourier-like signal transforms and convolutions

Neng-Chung Hu, Okan K. Ersoy, 1989 .

Optimization of binary circular filters

Liviu Singher, Gaines E. Miles, Okan K. Ersoy, 1997 .

Improvement and Application of Chicken Swarm Optimization for Constrained Optimization

Okan K. Ersoy, Mingxin Zhang, Kexin Sun, 2019, IEEE Access.

Combined Supervised and Unsupervised Learning in Genomic Data Mining

Jack Y. Yang, Okan K. Ersoy, 2003 .

Developing Intelligent Systems for Distinguishing Benign and Malignant Tumors

Yan Ma, Mary Qu Yang, Jack Y. Yang, 2006 .

Border feature detection and adaptation algorithm for consensual decision making

Sedef Kent, Okan K. Ersoy, N. G. Kasapoglu, 2009 .

Kent mixture model for classification of remote sensing data on spherical manifolds

Okan K. Ersoy, Dalton Lunga, O. Ersoy, 2011, 2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).

Classification accuracy improvement of neural network classifiers by using unlabeled data

Okan K. Ersoy, M. T. Fardanesh, O. Ersoy, 1998, IEEE Trans. Geosci. Remote. Sens..

Boosting Classification Accuracy with Samples Chosen from a Validation Set

Saul B. Gelfand, Okan K. Ersoy, Tzu-Cheng Chuang, 2007 .

A multilayer incremental neural network architecture for classification

Tamer Ölmez, Okan K. Ersoy, Ertugrul Yazgan, 2006, Neural Processing Letters.

Toward Automated Intelligent Manufacturing Systems (AIMS)

Herbert Moskowitz, Kemal Altinkemer, Okan K. Ersoy, 2007, INFORMS J. Comput..

Hybrid SVM and SVSA method for classification of remote sensing images

Gülsen Taskin Kaya, Mustafa E. Kamasak, Okan K. Ersoy, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Novel evolutionary global optimization algorithms and their applications

Okan K. Ersoy, Hualin Wang, O. Ersoy, 2006 .

Feature extraction of SAR data based on eigenvector of texture samples

Okan K. Ersoy, N. G. Kasapoglu, N. Gökhan Kasapoglu, 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

The Kamal Ewida Earth Observatory: A NATO supported real-time remote sensing receiving station being established in Egypt with HPC-enabled near-real-time data products for mitigation of environmental & public health disasters

Tarek A. El-Ghazawi, Carol X. Song, Larry Biehl, 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

New methods for real-time signal and image recognition

Okan K. Ersoy, D. Y. Kim, O. Ersoy, 1987, FJCC.

Multivariable decision feedback equalizer for space diversity in multi-input/output channel

Okan K. Ersoy, Keeyoung Suh, 2002, Vehicular Technology Conference. IEEE 55th Vehicular Technology Conference. VTC Spring 2002 (Cat. No.02CH37367).

A Parallel Implementation of Backpropagation Neural Network on MasPar MP-1

Faramarz Valafar, Okan K. Ersoy, 1995, PDPTA.

Parallel, self-organizing hierarchical neural networks

Daesik Hong, Okan K. Ersoy, 1990, Twenty-Third Annual Hawaii International Conference on System Sciences.

Cline: A New Decision-Tree Family

Mehmet Fatih Amasyali, Okan K. Ersoy, O. Ersoy, 2008, IEEE Transactions on Neural Networks.

Real discrete Fourier transform

Okan K. Ersoy, O. Ersoy, 1985, IEEE Trans. Acoust. Speech Signal Process..

Iterative optimization approach for designing an axicon with long focal depth and high transverse resolution

Okan K. Ersoy, Guo-Zhen Yang, Ben-Yuan Gu, 1996 .

A Study of Meta Learning for Regression

Okan K. Ersoy, M. Fatih Amasyali, O. Ersoy, 2009 .

A Consensual Subspace Method to Enhance Classification Accuracy

Saul B. Gelfand, Okan K. Ersoy, Tzu-Cheng Chuang, 2008 .

A Spectral-Spatial Classification Algorithm for Multispectral Remote Sensing Data

Okan K. Ersoy, Bingül Yazgan, Hakan Karakahya, 2003, ICANN.

Improvement Analysis and Application of Real-Coded Genetic Algorithm for Solving Constrained Optimization Problems

Okan K. Ersoy, Jiquan Wang, Zhiwen Cheng, 2018, Mathematical Problems in Engineering.

Apodization, Superresolution, and Recovery of Missing Information

Okan K. Ersoy, 2006 .

IMAGE PROCESSING AND COMPUTER GRAPHICS ALGORITHMS FOR SURFACE RENDERING FROM MRI DATA.

David J. Hansen, Okan K. Ersoy, Arda Kamil Bafra, 1994 .

DFT/RDFT bank approach for speckle reduction in SAR images

Isin Erer, Okan K. Ersoy, Murat Sezgin, 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

Spherical Stochastic Neighbor Embedding of Hyperspectral Data

Okan K. Ersoy, Dalton Lunga, O. Ersoy, 2013, IEEE Transactions on Geoscience and Remote Sensing.

Predicting protein structure and function using machine learning methods

Okan K. Ersoy, Mary Qu-Xuanyuan Yang, 2005 .

Parallel Multistage Wide Neural Network

Okan K. Ersoy, Xin Wei, Wu Tianjun, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Parallel consensual neural networks

Johannes R. Sveinsson, Jon Atli Benediktsson, Philip H. Swain, 1997, IEEE Trans. Neural Networks.

Fast decimation-in-frequency direct binary search algorithms for synthesis of computer-generated holograms

Okan K. Ersoy, Jie-Yao Zhuang, 1994 .

Recursive Update Algorithm for Least Squares Support Vector Machines

Okan K. Ersoy, Hoi-Ming Chi, 2004, Neural Processing Letters.

Optimized combination of neural networks

Johannes R. Sveinsson, Jon Atli Benediktsson, Okan K. Ersoy, 1996, 1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96.

A Consensual Neural Network

Jon Atli Benediktsson, Philip H. Swain, Okan K. Ersoy, 1991, [Proceedings] IGARSS'91 Remote Sensing: Global Monitoring for Earth Management.

Sequential bifurcation Approach to Learning protein Functional Classes

Mary Qu Yang, Jack Y. Yang, Okan K. Ersoy, 2005, Advances in Bioinformatics and Its Applications.

Consensual and Hierarchical Classification of Remotely Sensed Multispectral Images

Jaejoon Lee, Okan K. Ersoy, O. Ersoy, 2006, IEEE Transactions on Geoscience and Remote Sensing.

Optimal decimation-in-frequency iterative interlacing technique for synthesis of computer-generated holograms

Okan K. Ersoy, Jie-Yao Zhuang, 1995 .

PNS modules for the synthesis of parallel self-organizing hierarchical neural networks

Faramarz Valafar, Okan K. Ersoy, 1994, Proceedings of IEEE International Symposium on Circuits and Systems - ISCAS '94.

Modeling and optimizing a vendor managed replenishment system using machine learning and genetic algorithms

Herbert Moskowitz, James E. Ward, Okan K. Ersoy, 2007, Eur. J. Oper. Res..

Fast texture classification of denoised SAR image patches using GLCM on Spark

Okan K. Ersoy, Caner Ozcan, İskender Ülgen Oğul, 2020 .

Segmentation of remote sensing images using multistage unsupervised learning

Okan K. Ersoy, Murat Sezgin, Bingul Yazgan, 2004, SPIE Optics + Photonics.

Dynamic hyperspectral embedding with a spatial sensitive graph

Okan K. Ersoy, Dalton Lunga, O. Ersoy, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Support Vector Selection and Adaptation for Classification of Remote Sensing Images

Okan K. Ersoy, Gulsen Taskin Kaya, 2009 .

Support Vector Selection and Adaptation and its application in remote sensing

Mustafa E. Kamasak, Okan K. Ersoy, Gulsen Taskin Kaya, 2009, 2009 4th International Conference on Recent Advances in Space Technologies.

Multidimensional Artificial Field Embedding With Spatial Sensitivity

Okan K. Ersoy, Dalton Lunga, O. Ersoy, 2014, IEEE Transactions on Geoscience and Remote Sensing.

DETECTION OF RARE EVENTS AND RULE EXTRACITION BY NEURAL NETWORKS AND DECISION TREES

Okan K. Ersoy, Wooyoung Choe, O. Ersoy, 1999 .

Remote Sensing Methods by Compressive Sensing

Okan K. Ersoy, Atul Divekar, O. Ersoy, 2009 .

Formation of the anticounterfeiting hologram stickers on the base of combined optical and e-beam lithography

Okan K. Ersoy, Andrei M. Andriesh, Valeriu V. Bivol, 2005, Other Conferences.

Consensual Neural Networks

Jon Atli Benediktsson, Philip H. Swain, Okan K. Ersoy, 1991 .

Kümeleyici Topluluklarinin Başarisini Etkileyen Faktörler The Performance Factors of Clustering Ensembles

Okan K. Ersoy, M. Fatih Amasyali, Purdue Üniversitesi, 2008 .

Character/text data compression and encryption by compressive sensing and hybrid cryptography

Okan K. Ersoy, Lale Özyilmaz, Ertan Atar, 2016, 2016 24th Signal Processing and Communication Application Conference (SIU).

Femtosecond laser direct writing of volume Fresnel zone plates

Okan K. Ersoy, Pornsak Srisungsitthisunti, Xianfan Xu, 2010, LASE.

Parallel, self-organizing, hierarchical neural networks with continuous inputs and outputs

Okan K. Ersoy, Shi-Wee Deng, 1995, IEEE Trans. Neural Networks.

Consensual classification of drug and nondrug compounds

Okan K. Ersoy, Turgay Ibrikci, Ayca C. Pehlivanli, 2008, Int. J. Comput. Biol. Drug Des..

Nonlinear matched filtering

Okan K. Ersoy, M. Zeng, 1989 .

Hybrid Optical Cryptography and Compressive Sensing Based on Orthogonal Matching Pursuit

Okan K. Ersoy, Ertan Atar, O. Ersoy, 2018 .

Optimised competitive feature vector network

Tamer Ölmez, Okan K. Ersoy, E. Yazgan, 1994 .

Neural network schemes for detecting rare events in human genomic DNA

Okan K. Ersoy, Minou Bina, Wooyoung Choe, 2000, Bioinform..

A Neural Network Approach to Stationary Target Discrimination

Okan K. Ersoy, Douglas J. Munro, 1993 .

Classification Of Very High Dimensional Data Using Neural Networks

Jon Atli Benediktsson, Philip H. Swain, Daesik Hong, 1990, 10th Annual International Symposium on Geoscience and Remote Sensing.

Spherical Nearest Neighbor Classification: Application to Hyperspectral Data

Okan K. Ersoy, Dalton Lunga, O. Ersoy, 2011, MLDM.

Parallel consensual neural networks

Johannes R. Sveinsson, Jon Atli Benediktsson, P. H. Swain, 1993, IEEE International Conference on Neural Networks.

A comparative review of regression ensembles on drug design datasets

Mehmet Fatih Amasyali, Okan K. Ersoy, O. Ersoy, 2013, Turkish Journal of Electrical Engineering and Computer Sciences.

A comparative evaluation of competitive learning algorithms for edge detection enhancement

Isin Erer, Muhittin Gokmen, Okan K. Ersoy, 2005, 2005 13th European Signal Processing Conference.

Image Coding with the Discrete Cosine-III Transform

Okan K. Ersoy, Ahmed Nouira, 1992, IEEE J. Sel. Areas Commun..

Transform edge detection

Okan K. Ersoy, Sabzali Aghagolzadeh, 1993 .

Using Real-Time Decision Tools to Improve Distributed Decision-Making Capabilities in High-Magnitude Crisis Situations

Herbert Moskowitz, Paul Louis Drnevich, Kemal Altinkemer, 2011, Decis. Sci..

A new multispectral image classification method using adaptive filtering algorithm

Isa Yildirim, Okan K. Ersoy, E. Tigli, 2004 .

Hyperspectral image classification by Multi-Scale Vector Tunnel

Isin Erer, Okan K. Ersoy, Suleyman Demirci, 2014, 2014 22nd Signal Processing and Communications Applications Conference (SIU).

Comparison of multidimensional swarm embedding techniques by potential fields

Okan K. Ersoy, Youngha Hwang, 2018 .

A multi-objective differential evolutionary algorithm with angle-based objective space division and parameter adaption for solving sodium gluconate production process and benchmark problems

Xuefeng Yan, Zhan Guo, Okan K. Ersoy, 2020, Swarm Evol. Comput..

Manifold learning based feature extraction for classification of hyper-spectral data

Melba M. Crawford, Saurabh Prasad, Okan K. Ersoy, 2013 .

Slow feature analysis based on online feature reordering and feature selection for dynamic chemical process monitoring

Jian Huang, Xuefeng Yan, Jian Huang, 2017 .

Probabilistic spectral feature extraction technique for neural networks

Okan K. Ersoy, Young Ro Yoon, 1993, Optics & Photonics.

Transform-coding of images with reduced complexity

C. H. Chen, Okan K. Ersoy, 1988, Comput. Vis. Graph. Image Process..

Parallel, self-organizing, hierarchical neural networks. II

Daesik Hong, Okan K. Ersoy, 1993, IEEE Trans. Ind. Electron..

Parallel, self organizing, consensus neural networks

Faramarz Valafar, Okan K. Ersoy, Homayoun Valafar, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Cryptography with compressive sensing Orthogonal Matching Pursuit method

Okan K. Ersoy, Lale Özyilmaz, Ertan Atar, 2015, 2015 23nd Signal Processing and Communications Applications Conference (SIU).

Partitioning of Hopfield networks and its application to image restoration

Ramakrishnan Sundaram, Okan K. Ersoy, 1996 .

Modified restricted Coulomb energy neural network

Tamer Ölmez, Okan K. Ersoy, E. Yazgan, 1993 .

Adaptive approach to edge detection

David J. Hansen, Ramakrishnan Sundaram, Okan K. Ersoy, 1995 .

Unsupervised Classification of Hyperspectral Images on Spherical Manifolds

Okan K. Ersoy, Dalton Lunga, 2011, ICDM.

Computerized Imaging Techniques I: Synthetic Aperture Radar

Okan K. Ersoy, 2006 .

PARAL LEL, PROBABILISTIC, SELF- ORGANIZING, HIERAR CHICAL NEURAL NETWORKS

Faramarz Valafar, Okan K. Ersoy, 1994 .

Uzaktan algılama görüntülerinin sınıflandırılması için sınır özniteliklerinin belirlenmesi ve adaptasyonu algoritması

Okan K. Ersoy, Bingul Yazgan, N. Gökhan Kasapoğlu, 2011 .

A statistical self-organizing learning system for remote sensing classification

Okan K. Ersoy, Hoi-Ming Chi, O. Ersoy, 2005, IEEE Transactions on Geoscience and Remote Sensing.

Parallel Implementation of Distributed Global Optimization (DGO) pdf

Okan K. Ersoy, Homayoun Valafar, Farmaraz Valafar, 2020, ArXiv.

Evaluation of Regression Ensembles on Drug Design Datasets

Okan K. Ersoy, M. Fatih Amasyali, O. Ersoy, 2009 .

A Statistical Approach to Increase Classification Accuracy in Supervised Learning Algorithms pdf

Gerhard Klimeck, Okan K. Ersoy, Michael G. Zentner, 2017, ArXiv.

Design of binary rotation-invariant filters with genetic algorithm

Liviu Singher, Gaines E. Miles, Okan K. Ersoy, 1998, Optics & Photonics.

Interactive Clustering and Classification

Herbert Moskowitz, Qian Xia, Mohit Tawarmalani, 2008 .

Recent studies of transform image enhancement

Okan K. Ersoy, Sabzali Aghagolzadeh, 1992, Medical Imaging.

New approach to computer-generated holography

Okan K. Ersoy, C. Bubb, 1990, Other Conferences.

A Method of Initial Population Generation of Intelligent Optimization Algorithms for Constrained Global Optimization

Okan K. Ersoy, Jiquan Wang, Xinxin Chen, 2017 .

Machine learning and genetic algorithms in pharmaceutical development and manufacturing processes

Herbert Moskowitz, Kemal Altinkemer, Okan K. Ersoy, 2009, Decis. Support Syst..

Multi-offspring genetic algorithm and its application to the traveling salesman problem

Okan K. Ersoy, Jiquan Wang, Fulin Wang, 2016, Appl. Soft Comput..

Generalized discrete Hartley transforms

Neng-Chung Hu, Hong-I Chang, Okan K. Ersoy, 1992, IEEE Trans. Signal Process..

Both holographic and electron-beam recording in new carbazolyl-containing photoresists

Stephan V. Robu, Lyudmila A. Vlad, Okan K. Ersoy, 2004, ROMOPTO International Conference on Micro- to Nano- Photonics.

Parallel, self-organizing, hierarchical neutral networks with continuous inputs and outputs

Okan K. Ersoy, S.-W. Deng, 1991, Proceedings of the Twenty-Fourth Annual Hawaii International Conference on System Sciences.

Ladder Networks for Semi-Supervised Hyperspectral Image Classification pdf

Okan K. Ersoy, Julian Büchel, 2018, ArXiv.

Manifold-Learning-Based Feature Extraction for Classification of Hyperspectral Data: A Review of Advances in Manifold Learning

Melba M. Crawford, Saurabh Prasad, Okan K. Ersoy, 2014, IEEE Signal Processing Magazine.

New computational intelligence algorithms and their applications

Okan K. Ersoy, Hoi-Ming Chi, O. Ersoy, 2003 .

On relating discrete Fourier, sine, and symmetric cosine transforms

Okan K. Ersoy, 1985, IEEE Trans. Acoust. Speech Signal Process..

Computerized Imaging II: Image Reconstruction from Projections

Okan K. Ersoy, 2006 .

Enhanced multidimensional field embedding method by potential fields for hyperspectral image classification and visualisation

Okan K. Ersoy, C. Ozcan, O. Ersoy, 2018, Electronics Letters.

A two-stage representation of DFT and its applications

Okan K. Ersoy, O. Ersoy, 1987, IEEE Trans. Acoust. Speech Signal Process..

Classifier Ensembles with the Extended Space Forest

Mehmet Fatih Amasyali, Okan K. Ersoy, O. Ersoy, 2014, IEEE Transactions on Knowledge and Data Engineering.

Vector tunnel algorithm for hyperspectral target detection

Isin Erer, Okan K. Ersoy, S. Demirci, 2014, Defense + Security Symposium.

Advancing the PROSPECT-5 Model to Simulate the Spectral Reflectance of Copper-Stressed Leaves

Suhong Liu, Huazhong Ren, Qiming Qin, 2017, Remote. Sens..

Weighted Chebyshev distance classification method for hyperspectral imaging

Isin Erer, Okan K. Ersoy, S. Demirci, 2015, Commercial + Scientific Sensing and Imaging.

A statistical, self-organizing learning system with validation

Okan K. Ersoy, Hoi-Ming Chi, O. Ersoy, 2005, Int. J. Gen. Syst..

Feature selection by high dimensional model representation and its application to remote sensing

Gülsen Taskin Kaya, Okan K. Ersoy, Hüseyin Kaya, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

DETECTION OF RARE EVENT S AND RULE EXTRAC ITION BY NEURAL NE TWORKS AND DECISION TREES

Okan K. Ersoy, Wooyoung Choe, O. Ersoy, 2000 .

Implementation of back-propagation neural networks with MatLab

Okan K. Ersoy, Jamshid Nazari, 1992 .

Space Debris Detection Using Feature Learning of Candidate Regions in Optical Image Sequences

Ming Cong, Okan K. Ersoy, Xin Wei, 2020, IEEE Access.

Weighted Chebyshev Distance Algorithms for Hyperspectral Target Detection and Classification Applications

Isin Erer, Okan K. Ersoy, S. Demirci, 2014 .

Transform image enhancement

Okan K. Ersoy, Sabzali Aghagolzadeh, O. Ersoy, 1992, Optical Society of America Annual Meeting.

Prediction of disorder with new computational tool: BVDEA

Okan K. Ersoy, Turgay Ibrikci, Irem Ersöz Kaya, 2011, Expert Syst. Appl..

Parallel, self-organizing, hierarchical neural networks

Daesik Hong, Okan K. Ersoy, O. Ersoy, 1990, IEEE Trans. Neural Networks.

Exploring Protein Functional Relationships Using Genomic Information and Data Mining Techniques

Jack Y. Yang, Mary Yang, Okan K. Ersoy, 2003, ICANN.

Developing New Variants of the Self-Organizing Feature Map Algorithms

Mary Qu Yang, Jack Y. Yang, Okan K. Ersoy, 2006 .

Conjugate-gradient neural networks in classification of multisource and very-high-dimensional remote sensing data

Jon Atli Benediktsson, Philip H. Swain, Okan K. Ersoy, 1993 .

Earthquake-induced damage classification from postearthquake satellite image using spectral and spatial features with support vector selection and adaptation

Mustafa E. Kamasak, Okan K. Ersoy, Gulsen Taskin, 2015 .

Border Vector Detection and Adaptation for Classification of Multispectral and Hyperspectral Remote Sensing Images

Okan K. Ersoy, N. G. Kasapoglu, N. Gökhan Kasapoglu, 2007, IEEE Transactions on Geoscience and Remote Sensing.

Multistage Linear SVM Classification

Herbert Moskowitz, Qian Xia, Okan K. Ersoy, 2007 .

Semisystolic Array Implementation of Circular, Skew Circular, and Linear Convolutions

Okan K. Ersoy, 1985, IEEE Transactions on Computers.

A digital implementation of a Three-Layered ANN Module

Okan K. Ersoy, Ottilia McCoy, O. Ersoy, 1992 .

Spectral and spatial classification of earthquake images by support vector selection and adaptation

Gülsen Taskin Kaya, Mustafa E. Kamasak, Okan K. Ersoy, 2010, 2010 International Conference of Soft Computing and Pattern Recognition.

Parallel, Self-Organizing, Hierarchical Neural Networks for Vision and Systems Control

Daesik Hong, Okan K. Ersoy, 1990, Proceedings of the IEEE International Workshop on Intelligent Motion Control.

A MULTISTAGE APPROACH TO THE HOPFIELD MODEL FOR BI-LEVEL IMAGE RESTORATION

Okan K. Ersoy, Mona S. Badie, 1995 .

Improvement of classification accuracy in remote sensing using morphological filter

Isa Yildirim, Okan K. Ersoy, Bingul Yazgan, 2005 .

Fast algorithms for the discrete Fourier preprocessing transforms

Neng-Chung Hu, Okan K. Ersoy, O. Ersoy, 1992, IEEE Trans. Signal Process..

Nonlinear Dynamic Field Embedding: On Hyperspectral Scene Visualization pdf

Okan K. Ersoy, Dalton Lunga, O. Ersoy, 2012, ArXiv.

A Novel Evolutionary Algorithm and Its Application in Bioinformatics

Okan K. Ersoy, Hualin Wang, 2006 .

Drug/nondrug classification with consensual Self-Organising Map and Self-Organising Global Ranking algorithms

Okan K. Ersoy, Turgay Ibrikci, Ayca C. Pehlivanli, 2008, Int. J. Comput. Biol. Drug Des..

Neural Network Approaches Versus Statistical Methods in Classification of Multisource Remote Sensing Data

Jon Atli Benediktsson, P. H. Swain, Okan K. Ersoy, 1989, 12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,.

Support vector selection and adaptation for classification of earthquake images

Gülsen Taskin Kaya, Mustafa E. Kamasak, Okan K. Ersoy, 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

Fusion of multifocus images by lattice structures

Isin Erer, Okan K. Ersoy, Nur Huseyin Kaplan, 2016, J. Vis. Commun. Image Represent..

Change detection in very high resolution imagery based on dynamic time warping: An implementation for Haiti earthquake damage assessment

Okan K. Ersoy, Gulsen Taskin Kaya, Huseyin Kaya, 2011, 2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp).

Classification of proteins multiple-labelled and single-labelled with protein functional classes

Jack Y. Yang, Mary Yang, Okan K. Ersoy, 2007, Int. J. Gen. Syst..

Spherical Classification of Remote Sensing Data

Okan K. Ersoy, Dalton Lunga, O. Ersoy, 2011, Trans. Mach. Learn. Data Min..

Image fusion using DFT-based digital filter banks

Isin Erer, Okan K. Ersoy, Murat Sezgin, 2005, SPIE Optics + Photonics.

Dynamic Wide and Deep Neural Network for Hyperspectral Image Classification

Tianjun Wu, Okan K. Ersoy, Junkai Gu, 2021, Remote. Sens..

Zoning Search With Adaptive Resource Allocating Method for Balanced and Imbalanced Multimodal Multi-Objective Optimization

Qinqin Fan, Okan K. Ersoy, O. Ersoy, 2021, IEEE/CAA Journal of Automatica Sinica.

Wide Sliding Window and Subsampling Network for Hyperspectral Image Classification

Jianwu Fang, Tianjun Wu, Okan K. Ersoy, 2021, Remote. Sens..