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ORCIDSeniha Esen Yüksel
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- affiliation: University of Florida, Gainesville, USA
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2020 – today
- 2024
[j14]Kemal Gürkan Toker, Seniha Esen Yüksel
:
Multi-scale superpixel-based nearest subspace classifier for mucilage detection from hyperspectral PRISMA data. Digit. Signal Process. 154: 104657 (2024)- [j13]Orhan Torun, Seniha Esen Yüksel, Erkut Erdem, Nevrez Imamoglu, Aykut Erdem:
Hyperspectral image denoising via self-modulating convolutional neural networks. Signal Process. 214: 109248 (2024) - [c41]Metehan Yalçin, Seniha Esen Yüksel, Alper Koz:
Target Detection with LWIR Hyperspectral Scene Transfer Based on Deep Learning. IGARSS 2024: 7986-7990 - [c40]Orhan Torun, Seniha Esen Yüksel, Erkut Erdem, Aykut Erdem:
Self-Supervised Calibration of the Denoising Networks for HSI. IGARSS 2024: 9277-9280 - [c39]Kemal Gürkan Toker, Seniha Esen Yüksel Erdem:
Detection of Mucilage Bloom in the Sea of Marmara from PRISMA Satellite. SIU 2024: 1-4 - 2023
- [j12]Mehmet Oturak, Seniha Esen Yüksel, Sefa Kucuk:
Multi-source domain adaptation of GPR data for IED detection. Signal Image Video Process. 17(5): 1831-1839 (2023) - [j11]Furkan Ulger, Seniha Esen Yüksel, Atila Yilmaz, Dinçer Gökcen:
Solder Joint Inspection on Printed Circuit Boards: A Survey and a Dataset. IEEE Trans. Instrum. Meas. 72: 1-21 (2023) - [c38]Betül Sömek, Seniha Esen Yüksel:
Plankton Classification with Deep Learning. SPA 2023: 118-123 - [c37]Burak Akdemir, Eyüp Enes Aytaç, Erkani Mert Tosun, Seniha Esen Yüksel:
Classification Of Solid Waste Using Computer Vision Techniques. SPA 2023: 136-141 - [i3]Orhan Torun, Seniha Esen Yüksel, Erkut Erdem, Nevrez Imamoglu, Aykut Erdem:
Hyperspectral Image Denoising via Self-Modulating Convolutional Neural Networks. CoRR abs/2309.08197 (2023) - 2022
- [j10]Sefa Kucuk, Seniha Esen Yüksel:
Pointwise Mutual Information-Based Graph Laplacian Regularized Sparse Unmixing. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j9]Okay Arik, Seniha Esen Yüksel:
Mobile Device Camera Calibration Using Building Images and Onboard Accelerometer. IEEE Trans. Instrum. Meas. 71: 1-8 (2022) - [c36]Ilke Belenoglu, Metehan Yalçin, Seniha Esen Yüksel, Alper Koz:
Target Detection over Temperature Profiles. IGARSS 2022: 1237-1240 - [c35]Mustafa Eryilmaz, Metehan Çil, Sedat Aktürk, Mehmet Tilegi, Hakan Tirak, Atila Yilmaz, Seniha Esen Yüksel, Dinçer Gökcen:
Defect Classification from Electronic Card Images by Deep Learning. SIU 2022: 1-4 - [c34]Sefa Küçük, Bahri Abaci, Murat Dede, Seniha Esen Yüksel, Mete Yilmaz:
Analysis and Detection of Mucilage Bloom from Multispectral Satellite Images. SIU 2022: 1-4 - [i2]Furkan Ulger, Seniha Esen Yüksel, Atila Yilmaz, Dinçer Gökcen:
Fine-grained Classification of Solder Joints with α-skew Jensen-Shannon Divergence. CoRR abs/2209.09857 (2022) - 2021
- [j8]Emrah Oduncu, Seniha Esen Yüksel:
An in-depth analysis of hyperspectral target detection with shadow compensation via LiDAR. Signal Process. Image Commun. 99: 116427 (2021) - [j7]Sefa Kucuk, Seniha Esen Yüksel:
Total Utility Metric Based Dictionary Pruning for Sparse Hyperspectral Unmixing. IEEE Trans. Computational Imaging 7: 562-571 (2021) - [i1]Furkan Ulger, Seniha Esen Yüksel, Atila Yilmaz:
Anomaly Detection for Solder Joints Using β-VAE. CoRR abs/2104.11927 (2021) - 2020
- [c33]Sefa Küçük, Seniha Esen Yüksel:
Utility Metric for Subset Dictionary Selection in Semi-Blind Hyperspectral Unmixing. SIU 2020: 1-4
2010 – 2019
- 2019
- [j6]Hakan Aytaylan, Seniha Esen Yüksel:
Fully-connected semantic segmentation of hyperspectral and LiDAR data. IET Comput. Vis. 13(3): 285-293 (2019) - [c32]Furkan Ulger, Seniha Esen Yüksel:
A Standalone Open-Source System for Optical Inspection of Printed Circuit Boards. SPA 2019: 105-110 - 2018
- [j5]Hasan Irmak, Gozde Bozdagi Akar, Seniha Esen Yüksel:
A MAP-Based Approach for Hyperspectral Imagery Super-Resolution. IEEE Trans. Image Process. 27(6): 2942-2951 (2018) - [c31]Enver Aydin, Seniha Esen Yüksel:
Transfer and multitask learning method for buried wire detection via GPR. SIU 2018: 1-4 - [c30]Mesut Salman, Seniha Esen Yüksel:
Fusion of hyperspectral image and LiDAR data and classification using deep convolutional neural networks. SIU 2018: 1-4 - [c29]Kemal Gürkan Toker, Seniha Esen Yüksel:
A greedy algorithm for sparse unmixing. SIU 2018: 1-4 - [c28]Hasan Irmak, Gozde Bozdagi Akar, Seniha Esen Yüksel:
Image Fusion for Hyperspectral Image Super-Resolution. WHISPERS 2018: 1-5 - 2017
- [c27]Enver Aydin, Seniha Esen Yüksel:
Buried target detection with ground penetrating radar using deep learning method. SIU 2017: 1-4 - [c26]Hasan Irmak, Gozde Bozdagi Akar, Seniha Esen Yüksel:
Fusion based resolution enhancement in hyperspectral images. SIU 2017: 1-4 - [c25]Orhan Torun, Seniha Esen Yüksel:
LiDAR aided hyperspectral images segmentation using schroedinger eigenmaps. SIU 2017: 1-4 - 2016
- [j4]Seniha Esen Yüksel, Paul D. Gader:
Context-based classification via mixture of hidden Markov model experts with applications in landmine detection. IET Comput. Vis. 10(8): 873-883 (2016) - [j3]Seniha Esen Yüksel, Sefa Kucuk, Paul D. Gader:
SPICEE: An Extension of SPICE for Sparse Endmember Estimation in Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. 13(12): 1910-1914 (2016) - [c24]Hakan Aytaylan, Seniha Esen Yüksel:
Semantic segmentation of hyperspectral images with the fusion of LiDAR data. IGARSS 2016: 2522-2525 - [c23]Hasan Irmak, Gozde Bozdagi Akar, Seniha Esen Yüksel, Hakan Aytaylan:
Super-resolution Reconstruction of hyperspectral images via an improved MAP-based approach. IGARSS 2016: 7244-7247 - [c22]Hasan Irmak, Gozde Bozdagi Akar, Seniha Esen Yüksel:
Hyperspectral imagery superresolution. SIU 2016: 1057-1060 - [c21]Ahmet Karakaya, Seniha Esen Yüksel:
Target detection in hyperspectral images. SIU 2016: 1501-1504 - [c20]Orhan Torun, Seniha Esen Yüksel:
Hyperspectral image segmentation using normalized cuts. SIU 2016: 1717-1720 - [c19]Emrah Oduncu, Seniha Esen Yüksel:
Analyzing the correlation of sky-view factor and shadow regions in hyperspectral data. SIU 2016: 1989-1992 - [c18]Huseyin Emre Mutlu, Seniha Esen Yüksel Erdem:
Hyperspectral image classification via Support Vector Data Description. SIU 2016: 2065-2068 - [c17]Mesut Salman, Seniha Esen Yüksel:
Hyperspectral data classification using deep convolutional neural networks. SIU 2016: 2129-2132 - 2015
- [j2]Seniha Esen Yüksel, Jeremy Bolton, Paul D. Gader:
Multiple-Instance Hidden Markov Models With Applications to Landmine Detection. IEEE Trans. Geosci. Remote. Sens. 53(12): 6766-6775 (2015) - [c16]Mehmet Oturak, Seniha Esen Yüksel:
Aircraft recognition from satellite images. SIU 2015: 719-722 - [c15]Ayse Siddika Aydogdu, Poyraz Umut Hatipoglu, Levent Ozparlak, Seniha Esen Yüksel:
LWIR and MWIR images dimension reduction and anomaly detection with locally linear embedding. SIU 2015: 819-822 - [c14]Kemal Gurkan Toker, Seniha Esen Yüksel:
Accelerating classification time in Hyperspectral Images. SIU 2015: 2126-2129 - [c13]Hasan Irmak, Gözde B. Akar, Seniha Esen Yüksel:
A map-based approach to resolution enhancement of hyperspectral images. WHISPERS 2015: 1-4 - [c12]Sefa Kucuk, Seniha Esen Yüksel:
Comparison of RX-based anomaly detectors on synthetic and real hyperspectral data. WHISPERS 2015: 1-4 - 2014
- [c11]Seniha Esen Yüksel:
Endmember Detection using Enhanced Constrained Optimization in Hyperspectral Imaging. SIU 2014: 1023-1026 - 2012
- [j1]Seniha Esen Yüksel, Joseph N. Wilson, Paul D. Gader:
Twenty Years of Mixture of Experts. IEEE Trans. Neural Networks Learn. Syst. 23(8): 1177-1193 (2012) - [c10]Seniha Esen Yüksel, Paul D. Gader:
Mixture of HMM Experts with applications to landmine detection. IGARSS 2012: 6852-6855 - [c9]Seniha Esen Yüksel, Jeremy Bolton, Paul D. Gader:
Landmine detection with Multiple Instance Hidden Markov Models. MLSP 2012: 1-6 - 2011
- [c8]Alina Zare, Paul D. Gader, Jeremy Bolton, Seniha Esen Yüksel, Thierry Dubroca, Ryan Close, Rolf Hummel:
Sub-pixel target spectra estimation and detection using functions of multiple instances. WHISPERS 2011: 1-4 - 2010
- [c7]Seniha Esen Yüksel, Paul D. Gader:
Variational Mixture of Experts for Classification with Applications to Landmine Detection. ICPR 2010: 2981-2984
2000 – 2009
- 2008
- [c6]Seniha Esen Yüksel, Ganesh Ramachandran, Paul D. Gader, Joseph N. Wilson, Dominic K. C. Ho, Gyeongyong Heo:
Hierarchical Methods for Landmine Detection with Wideband Electro-Magnetic Induction and Ground Penetrating Radar Multi-Sensor Systems. IGARSS (2) 2008: 177-180 - 2006
- [c5]Ayman S. El-Baz, Aly A. Farag, Hossam El Din Hassan Abd El Munim, Seniha Esen Yüksel:
Level Set Segmentation Using Statistical Shape Priors. CVPR Workshops 2006: 78 - [c4]Ayman El-Baz, Aly A. Farag, Rachid Fahmi, Seniha Esen Yüksel, Mohamed Abou El-Ghar, Tarek Eldiasty:
Image Analysis of Renal DCE MRI for the Detection of Acute Renal Rejection. ICPR (3) 2006: 822-825 - [c3]Aly A. Farag, Ayman El-Baz, Seniha Esen Yüksel, Mohamed Abou El-Ghar, Tarek Eldiasty:
A framework for the detection of acute renal rejection with dynamic contrast enhanced magnetic resonance imaging. ISBI 2006: 418-421 - [c2]Ayman El-Baz, Rachid Fahmi, Seniha Esen Yüksel, Aly A. Farag, William Miller, Mohamed Abou El-Ghar, Tarek Eldiasty:
A New CAD System for the Evaluation of Kidney Diseases Using DCE-MRI. MICCAI (2) 2006: 446-453 - 2005
- [c1]Ayman El-Baz, Seniha Esen Yüksel, Hongjian Shi, Aly A. Farag, Mohamed Abou El-Ghar, Tarek Eldiasty, Mohamed A. Ghoneim:
2D and 3D Shape Based Segmentation Using Deformable Models. MICCAI (2) 2005: 821-829
Coauthor Index
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last updated on 2024-09-28 01:24 CEST by the dblp team
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