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2020 – today
- 2024
[j21]Hua Yan
, Rachel Zheng, Shivaji Mallela, Randy Russell, Olcay Kursun:
Collection of a Hyperspectral Atmospheric Cloud Dataset and Enhancing Pixel Classification through Patch-Origin Embedding. Remote. Sens. 16(17): 3315 (2024)- [d4]Hua Yan, Rachel Zheng, Brandon Boehm, Sameer Shaga, Derienne Black, Luis Cueva-Parra, Randy Russell, Olcay Kursun:
CloudPatch-7 Hyperspectral Dataset. IEEE DataPort, 2024
- 2023
- [c31]Olcay Kursun, Beiimbet Sarsekeyev, Mahdi Hasanzadeh, Ahmad Patooghy, Oleg V. Favorov:
Tactile Sensing with Contextually Guided CNNs: A Semisupervised Approach for Texture Classification. IRC 2023: 25-30 - 2022
- [c30]Olcay Kursun, Semih Dinç, Oleg V. Favorov:
Contextually Guided Convolutional Neural Networks for Learning Most Transferable Representations. ISM 2022: 210-213 - [d3]Olcay Kursun, Ahmad Patooghy:
VibTac-12: Texture Dataset Collected by Tactile Sensors. IEEE DataPort, 2022 - 2021
- [c29]Brian Eubanks, Ahmad Patooghy, Olcay Kursun:
Reliability Assessment of Tiny Machine Learning Algorithms in the Presence of Control Flow Errors. MWSCAS 2021: 50-54 - [c28]Joshua Osborne, Ahmad Patooghy, Beiimbet Sarsekeyev, Olcay Kursun:
Eco-CMB: A Hardware-Accelerated Band-Power Feature Extractor for Tactile Embedded Systems. MWSCAS 2021: 198-203 - [i1]Olcay Kursun, Semih Dinç, Oleg V. Favorov:
Contextually Guided Convolutional Neural Networks for Learning Most Transferable Representations. CoRR abs/2103.01566 (2021) - 2020
- [j20]Olcay Kursun, Ahmad Patooghy:
An Embedded System for Collection and Real-Time Classification of a Tactile Dataset. IEEE Access 8: 97462-97473 (2020) - [c27]Tou Cheng, Falla Coulibaly, Ahmad Patooghy, Olcay Kursun:
Data-Triggered Approach for Real-Time Machine Learning in IoT Systems. MWSCAS 2020: 101-104
2010 – 2019
- 2017
- [j19]Cemal Okan Sakar, Olcay Kursun:
Discriminative Feature Extraction by a Neural Implementation of Canonical Correlation Analysis. IEEE Trans. Neural Networks Learn. Syst. 28(1): 164-176 (2017) - 2016
- [c26]Öznur Sengel, Olcay Kursun:
Path-based connectivity for clustering genome sequences. EMBC 2016: 3092-3095 - [d2]Olcay Kursun:
Improved Spiral Test Using Digitized Graphics Tablet for Monitoring Parkinson’s Disease. UCI Machine Learning Repository, 2016 - 2015
- [j18]Nazife Cevik, Cemal Okan Sakar, Olcay Kursun:
Analysis of shared miRNAs of different species using ensemble CCA and genetic distance. Comput. Biol. Medicine 64: 261-267 (2015) - [c25]Betul Erdogdu Sakar, Cemal Okan Sakar, Gorkem Serbes, Olcay Kursun:
Determination of the optimal threshold value that can be discriminated by dysphonia measurements for unified Parkinson's Disease rating scale. BIBE 2015: 1-4 - [c24]Kadir Guzel, Olcay Kursun:
Improving spectral clustering using path-based connectivity. SIU 2015: 2110-2113 - [c23]M. Erdem Isenkul, Olcay Kursun, Oleg V. Favorov:
Multiview classification tests using cortical Layer-4 image representation. SIU 2015: 2294-2297 - 2014
- [j17]Cemal Okan Sakar, Olcay Kursun, Fikret Gürgen:
Ensemble canonical correlation analysis. Appl. Intell. 40(2): 291-304 (2014) - [j16]Cemal Okan Sakar, Olcay Kursun, Huseyin Seker, Fikret Gürgen, Nizamettin Aydin, Oleg V. Favorov:
Combining multiple views: Case studies on protein and arrhythmia features. Eng. Appl. Artif. Intell. 28: 174-180 (2014) - [j15]Cemal Okan Sakar, Olcay Kursun, Huseyin Seker, Fikret Gürgen:
Combining multiple clusterings for protein structure prediction. Int. J. Data Min. Bioinform. 10(2): 162-174 (2014) - [c22]Fatma Gumus, Cemal Okan Sakar, Zeki Erdem, Olcay Kursun:
Online Naive Bayes classification for network intrusion detection. ASONAM 2014: 670-674 - [c21]Ahmet Develi, Olcay Kursun, Betul Erdogdu Sakar:
Prediction of level and abrupt changes of ozon concentration. SIU 2014: 1235-1238 - [c20]M. Erdem Isenkul, Olcay Kursun, Oleg V. Favorov:
Methods for measuring the capacity of cortical Layer-4 representation. SIU 2014: 1650-1653 - [d1]Olcay Kursun, Betul Erdogdu Sakar, M. Erdem Isenkul, Cemal Okan Sakar, Ahmet Sertbas, Fikret S. Gürgen:
Parkinson Speech Dataset with Multiple Types of Sound Recordings. UCI Machine Learning Repository, 2014 - 2013
- [j14]Ergun Gumus, Zeliha Gormez, Olcay Kursun:
Multi objective SNP selection using pareto optimality. Comput. Biol. Chem. 43: 23-28 (2013) - [j13]Ahmet Alptekin, Olcay Kursun:
Miss One out: a Cross-Validation Method Utilizing induced Teacher noise. Int. J. Pattern Recognit. Artif. Intell. 27(7) (2013) - [j12]Betul Erdogdu Sakar, M. Erdem Isenkul, Cemal Okan Sakar, Ahmet Sertbas, Fikret Gürgen, Sakir Delil, Hulya Apaydin, Olcay Kursun:
Collection and Analysis of a Parkinson Speech Dataset With Multiple Types of Sound Recordings. IEEE J. Biomed. Health Informatics 17(4): 828-834 (2013) - [c19]Zeliha Gormez, Ergun Gumus, Ahmet Sertbas, Olcay Kursun:
Comparison of aggregators for multi-objective SNP selection. EMBC 2013: 3062-3065 - [c18]Ergun Gumus, Olcay Kursun, Ahmet Sertbas:
Impact of characteristics in viral integration hotspots on classification performance. SIU 2013: 1-4 - 2012
- [j11]Ergun Gumus, Olcay Kursun, Ahmet Sertbas, Duran Üstek:
Application of canonical correlation analysis for identifying viral integration preferences. Bioinform. 28(5): 651-655 (2012) - [j10]Cemal Okan Sakar, Olcay Kursun:
A method for combining mutual information and canonical correlation analysis: Predictive Mutual Information and its use in feature selection. Expert Syst. Appl. 39(3): 3333-3344 (2012) - [j9]Cemal Okan Sakar, Olcay Kursun, Fikret Gürgen:
A feature selection method based on kernel canonical correlation analysis and the minimum Redundancy-Maximum Relevance filter method. Expert Syst. Appl. 39(3): 3432-3437 (2012) - [j8]Olcay Kursun, Ergun Gumus, Ahmet Sertbas, Oleg V. Favorov:
Selection of vocal features for Parkinson's Disease diagnosis. Int. J. Data Min. Bioinform. 6(2): 144-161 (2012) - [c17]Olcay Kursun, Tevfik Aytekin:
Combining Spatial Proximity and Temporal Continuity for Learning Invariant Representations. ASONAM 2012: 871-873 - [c16]Zeliha Gormez, Olcay Kursun, Ahmet Sertbas, Nizamettin Aydin, Huseyin Seker:
Statistical bias and variance of gene selection and cross validation methods: A case study on hypertension prediction. BHI 2012: 616-619 - [c15]Taner Aruk, Duran Üstek, Olcay Kursun:
A comparative analysis of smith-waterman based partial alignment. ISCC 2012: 250-252 - [c14]Heysem Kaya, Olcay Kursun, Fikret Gürgen:
Posterior Probability Convergence of k-NN Classification and K-Means Clustering. ISCIS 2012: 171-179 - [c13]Cemal Okan Sakar, Olcay Kursun, Ali Karaali, Çigdem Eroglu Erdem:
Feature extraction for facial expression recognition by canonical correlation analysis. SIU 2012: 1-3 - [c12]Betul Erdogdu Sakar, Cemal Okan Sakar, Fikret Gürgen, Ahmet Sertbas, Olcay Kursun:
A validation method for comparing classifiers on imbalanced datasets. SIU 2012: 1-4 - 2011
- [j7]Cemal Okan Sakar, Goksel Demir, Olcay Kursun, Hüseyin Özdemir, Gökmen Altay, Senay Yalçin:
Feature Selection For The Prediction Of Tropospheric Ozone Concentration Using A Wrapper Method. Intell. Autom. Soft Comput. 17(4): 403-413 (2011) - [j6]Olcay Kursun, Ethem Alpaydin, Oleg V. Favorov:
Canonical correlation analysis using within-class coupling. Pattern Recognit. Lett. 32(2): 134-144 (2011) - 2010
- [j5]Olcay Kursun, Oleg V. Favorov:
Feature Selection and Extraction Using an Unsupervised Biologically-Suggested Approximation to Gebelein's Maximal Correlation. Int. J. Pattern Recognit. Artif. Intell. 24(3): 337-358 (2010) - [j4]Niyazi Kilic, Olcay Kursun, Osman N. Uçan:
Classification of the Colonic Polyps in CT-Colonography Using Region Covariance as Descriptor Features of Suspicious Regions. J. Medical Syst. 34(2): 101-105 (2010) - [j3]Cemal Okan Sakar, Olcay Kursun:
Telediagnosis of Parkinson's Disease Using Measurements of Dysphonia. J. Medical Syst. 34(4): 591-599 (2010) - [c11]Heysem Kaya, Olcay Kursun, Huseyin Seker:
Stacking Class Probabilities Obtained from View-Based Cluster Ensembles. ICAISC (1) 2010: 397-404 - [c10]Olcay Kursun, Ethem Alpaydin:
Canonical Correlation Analysis for Multiview Semisupervised Feature Extraction. ICAISC (1) 2010: 430-436 - [c9]Cemal Okan Sakar, Olcay Kursun, Huseyin Seker, Fikret Gürgen:
Prediction of Protein Sub-nuclear Location by Clustering mRMR Ensemble Feature Selection. ICPR 2010: 2572-2575 - [c8]Cemal Okan Sakar, Olcay Kursun:
A Hybrid Method for Feature Selection Based on Mutual Information and Canonical Correlation Analysis. ICPR 2010: 4360-4363 - [c7]Olcay Kursun:
Spectral Clustering with Reverse Soft K-Nearest Neighbor Density Estimation. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [c6]Olcay Kursun, Fethullah Karabiber, Cemalettin Koc, Abdullah Bal:
Hyper-spectral image segmentation using spectral clustering with covariance descriptors. Image Processing: Algorithms and Systems 2009: 724512 - 2008
- [c5]Olcay Kursun:
A Generalization of Shannon's Mutual Information for Improved Feature Selection in Databases Involving Possibly Rare but Well-Predictable Classes. Artificial Intelligence and Pattern Recognition 2008: 284-288 - [p1]Olcay Kursun, Michael Georgiopoulos, Kenneth M. Reynolds:
Name Matching in Law Enforcement Database. Intelligence and Security Informatics 2008: 151-172 - 2006
- [j2]Olcay Kursun, Anna Koufakou, Abhijit Wakchaure, Michael Georgiopoulos, Kenneth M. Reynolds, Ronald Eaglin:
Answer: approximate Name Search with Errors in Large Databases by a Novel Approach Based on Prefix-dictionary. Int. J. Artif. Intell. Tools 15(5): 839-848 (2006) - [c4]Olcay Kursun, Anna Koufakou, Bing Chen, Michael Georgiopoulos, Kenneth M. Reynolds, Ronald Eaglin:
A Dictionary-Based Approach to Fast and Accurate Name Matching in Large Law Enforcement Databases. ISI 2006: 72-82 - [c3]Olcay Kursun, Kenneth M. Reynolds, Oleg V. Favorov:
Matching Images of Never-Before-Seen Individuals in Large Law Enforcement Databases. ISI 2006: 766-767 - 2004
- [j1]Olcay Kursun, Oleg V. Favorov:
SINBAD automation of scientific discovery: From factor analysis to theory synthesis. Nat. Comput. 3(2): 207-233 (2004) - [c2]Olcay Kursun, Oleg V. Favorov:
SINBAD: Towards an Implementation-Independent Hidden-Variable Discoverer. CCCT (1) 2004: 290-295 - 2002
- [c1]Olcay Kursun, Oleg V. Favorov:
Single-Frame Super-Resolution by a Cortex Based Mechanism Using High Level Visual Features in Natural Images. WACV 2002: 112-
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last updated on 2024-09-21 23:42 CEST by the dblp team
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