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2020 – today
- 2023
[j11]Umberto Michieli
, Marco Toldo, Mete Ozay:
Federated Learning via Attentive Margin of Semantic Feature Representations. IEEE Internet Things J. 10(2): 1517-1535 (2023)- 2022
- [j10]Jiwei Tian, Buhong Wang, Jing Li, Zhen Wang, Bowen Ma, Mete Ozay:
Exploring Targeted and Stealthy False Data Injection Attacks via Adversarial Machine Learning. IEEE Internet Things J. 9(15): 14116-14125 (2022) - [j9]Jiwei Tian, Buhong Wang, Zhen Wang, Kunrui Cao, Jing Li, Mete Ozay:
Joint Adversarial Example and False Data Injection Attacks for State Estimation in Power Systems. IEEE Trans. Cybern. 52(12): 13699-13713 (2022) - [c45]Marco Toldo, Mete Ozay:
Bring Evanescent Representations to Life in Lifelong Class Incremental Learning. CVPR 2022: 16711-16720 - [c44]Bobby He, Mete Ozay:
Feature Kernel Distillation. ICLR 2022 - [c43]Bobby He, Mete Ozay:
Exploring the Gap between Collapsed & Whitened Features in Self-Supervised Learning. ICML 2022: 8613-8634 - [c42]Haaris Mehmood, Agnieszka Dobrowolska, Karthikeyan Saravanan, Mete Ozay:
FedNST: Federated Noisy Student Training for Automatic Speech Recognition. INTERSPEECH 2022: 1001-1005 - [c41]Pablo Peso Parada, Agnieszka Dobrowolska, Karthikeyan Saravanan, Mete Ozay:
pMCT: Patched Multi-Condition Training for Robust Speech Recognition. INTERSPEECH 2022: 3779-3783 - [i37]Jiwei Tian, Buhong Wang, Jing Li, Zhen Wang, Mete Ozay:
Adversarial Attacks and Defense Methods for Power Quality Recognition. CoRR abs/2202.07421 (2022) - [i36]Juan Borrego-Carazo, Mete Ozay, Frederik Laboyrie, Paul Wisbey:
A Mixed Quantization Network for Computationally Efficient Mobile Inverse Tone Mapping. CoRR abs/2203.06504 (2022) - [i35]Junjie Hu, Chenyu Bao, Mete Ozay, Chenyou Fan, Qing Gao, Honghai Liu, Tin Lun Lam:
Deep Depth Completion: A Survey. CoRR abs/2205.05335 (2022) - [i34]Haaris Mehmood, Agnieszka Dobrowolska, Karthikeyan Saravanan, Mete Ozay:
FedNST: Federated Noisy Student Training for Automatic Speech Recognition. CoRR abs/2206.02797 (2022) - [i33]Pablo Peso Parada, Agnieszka Dobrowolska, Karthikeyan Saravanan, Mete Ozay:
pMCT: Patched Multi-Condition Training for Robust Speech Recognition. CoRR abs/2207.04949 (2022) - [i32]Junjie Hu, Chenyou Fan, Mete Ozay, Hualie Jiang, Tin Lun Lam:
Data-free Dense Depth Distillation. CoRR abs/2208.12464 (2022) - 2021
- [j8]Piotr Kicki, Tomasz Gawron, Krzysztof Cwian, Mete Ozay, Piotr Skrzypczynski:
Learning from experience for rapid generation of local car maneuvers. Eng. Appl. Artif. Intell. 105: 104399 (2021) - [c40]Juan Borrego-Carazo, Mete Ozay, Frederik Laboyrie, Paul Wisbey:
A Mixed Quantization Network for Efficient Mobile Inverse Tone Mapping. BMVC 2021: 53 - [c39]Umberto Michieli, Mete Ozay:
Are All Users Treated Fairly in Federated Learning Systems? CVPR Workshops 2021: 2318-2322 - [c38]Piotr Kicki, Piotr Skrzypczynski, Mete Ozay:
A New Approach to Design Symmetry Invariant Neural Networks. IJCNN 2021: 1-8 - [i31]Umberto Michieli, Mete Ozay:
Prototype Guided Federated Learning of Visual Feature Representations. CoRR abs/2105.08982 (2021) - [i30]Shuang Liu, Mete Ozay:
Task Guided Compositional Representation Learning for ZDA. CoRR abs/2109.05934 (2021) - 2020
- [i29]Piotr Kicki, Mete Ozay, Piotr Skrzypczynski:
A Computationally Efficient Neural Network Invariant to the Action of Symmetry Subgroups. CoRR abs/2002.07528 (2020) - [i28]Piotr Kicki, Tomasz Gawron, Krzysztof Cwian, Mete Ozay, Piotr Skrzypczynski:
Learning from Experience for Rapid Generation of Local Car Maneuvers. CoRR abs/2012.03707 (2020) - [i27]Piotr Kicki, Mete Ozay, Piotr Skrzypczynski:
A New Neural Network Architecture Invariant to the Action of Symmetry Subgroups. CoRR abs/2012.06452 (2020)
2010 – 2019
- 2019
- [j7]Shuang Liu, Mete Ozay, Takayuki Okatani, Hongli Xu, Kai Sun, Yang Lin:
Detection and Pose Estimation for Short-Range Vision-Based Underwater Docking. IEEE Access 7: 2720-2749 (2019) - [c37]Mingzhen Shao, Zhun Sun, Mete Ozay, Takayuki Okatani:
Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment. FG 2019: 1-5 - [c36]Shuang Liu, Mete Özay, Hongli Xu, Yang Lin, Takayuki Okatani:
A Generative Model of Underwater Images for Active Landmark Detection and Docking. IROS 2019: 8034-8039 - [c35]Mete Ozay:
Fine-grained Optimization of Deep Neural Networks. NeurIPS 2019: 1452-1462 - [c34]Jiwei Tian, Tengyao Li, Fute Shang, Kunrui Cao, Jing Li, Mete Ozay:
Adaptive Normalized Attacks for Learning Adversarial Attacks and Defenses in Power Systems. SmartGridComm 2019: 1-6 - [c33]Junjie Hu, Mete Ozay, Yan Zhang, Takayuki Okatani:
Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps With Accurate Object Boundaries. WACV 2019: 1043-1051 - [i26]Mingzhen Shao, Zhun Sun, Mete Ozay, Takayuki Okatani:
Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment. CoRR abs/1905.08609 (2019) - [i25]Mete Ozay:
Fine-grained Optimization of Deep Neural Networks. CoRR abs/1905.09054 (2019) - 2018
- [c32]Mete Özay, Takayuki Okatani:
Training CNNs With Normalized Kernels. AAAI 2018: 3884-3891 - [c31]Zhun Sun, Mete Ozay, Yan Zhang, Xing Liu, Takayuki Okatani:
Feature Quantization for Defending Against Distortion of Images. CVPR 2018: 7957-7966 - [c30]Masanori Suganuma, Mete Ozay, Takayuki Okatani:
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search. ICML 2018: 4778-4787 - [c29]Fazil Altinel, Mete Ozay, Takayuki Okatani:
Deep Structured Energy-Based Image Inpainting. ICPR 2018: 423-428 - [i24]Fazil Altinel, Mete Ozay, Takayuki Okatani:
Deep Structured Energy-Based Image Inpainting. CoRR abs/1801.07939 (2018) - [i23]Masanori Suganuma, Mete Özay, Takayuki Okatani:
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search. CoRR abs/1803.00370 (2018) - [i22]Junjie Hu, Mete Ozay, Yan Zhang, Takayuki Okatani:
Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries. CoRR abs/1803.08673 (2018) - 2017
- [j6]Itir Onal, Mete Ozay, Eda Mizrak, Ilke Öztekin, Fatos Tünay Yarman Vural:
A New Representation of fMRI Signal by a Set of Local Meshes for Brain Decoding. IEEE Trans. Signal Inf. Process. over Networks 3(4): 683-694 (2017) - [c28]Yan Zhang, Mete Ozay, Shuohao Li, Takayuki Okatani:
Truncating Wide Networks Using Binary Tree Architectures. ICCV 2017: 2116-2124 - [i21]Mete Ozay, Takayuki Okatani:
Optimization on Product Submanifolds of Convolution Kernels. CoRR abs/1701.06123 (2017) - [i20]Yan Zhang, Mete Ozay, Shuohao Li, Takayuki Okatani:
Truncating Wide Networks using Binary Tree Architectures. CoRR abs/1704.00509 (2017) - [i19]Yan Zhang, Mete Ozay, Zhun Sun, Takayuki Okatani:
Information Potential Auto-Encoders. CoRR abs/1706.04635 (2017) - [i18]Zhun Sun, Mete Ozay, Takayuki Okatani:
Improving Robustness of Feature Representations to Image Deformations using Powered Convolution in CNNs. CoRR abs/1707.07830 (2017) - [i17]Zhun Sun, Mete Ozay, Takayuki Okatani:
Linear Discriminant Generative Adversarial Networks. CoRR abs/1707.07831 (2017) - [i16]Zhun Sun, Mete Ozay, Takayuki Okatani:
HyperNetworks with statistical filtering for defending adversarial examples. CoRR abs/1711.01791 (2017) - [i15]Shuang Liu, Mete Ozay, Takayuki Okatani, Hongli Xu, Kai Sun, Yang Lin:
A vision based system for underwater docking. CoRR abs/1712.04138 (2017) - 2016
- [j5]Mete Ozay, Fatos Tünay Yarman Vural:
Hierarchical distance learning by stacking nearest neighbor classifiers. Inf. Fusion 29: 14-31 (2016) - [j4]Mete Ozay, Inaki Esnaola, Fatos Tünay Yarman Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Machine Learning Methods for Attack Detection in the Smart Grid. IEEE Trans. Neural Networks Learn. Syst. 27(8): 1773-1786 (2016) - [c27]Zhun Sun, Mete Ozay, Takayuki Okatani:
Design of Kernels in Convolutional Neural Networks for Image Classification. ECCV (7) 2016: 51-66 - [c26]Yan Zhang, Mete Ozay, Xing Liu, Takayuki Okatani:
Integrating deep features for material recognition. ICPR 2016: 3697-3702 - [i14]Itir Onal, Mete Ozay, Eda Mizrak, Ilke Öztekin, Fatos T. Yarman-Vural:
Modeling the Sequence of Brain Volumes by Local Mesh Models for Brain Decoding. CoRR abs/1603.01067 (2016) - [i13]Itir Önal, Mete Ozay, Fatos Tünay Yarman Vural:
A Hierarchical Multi-resolution Mesh Network for Brain Decoding. CoRR abs/1607.07695 (2016) - [i12]Itir Önal Ertugrul, Mete Ozay, Fatos T. Yarman-Vural:
Encoding the Local Connectivity Patterns of fMRI for Cognitive State Classification. CoRR abs/1610.05036 (2016) - [i11]Mete Ozay, Takayuki Okatani:
Optimization on Submanifolds of Convolution Kernels in CNNs. CoRR abs/1610.07008 (2016) - 2015
- [c25]Itir Önal, Mete Ozay, Fatos T. Yarman-Vural:
Functional Mesh Model with Temporal Measurements for brain decoding. EMBC 2015: 2624-2628 - [c24]Mete Ozay, Ümit Rusen Aktas, Jeremy L. Wyatt, Ales Leonardis:
Compositional Hierarchical Representation of Shape Manifolds for Classification of Non-manifold Shapes. ICCV 2015: 1662-1670 - [c23]Itir Önal, Mete Ozay, Fatos T. Yarman-Vural:
Modeling Voxel Connectivity for Brain Decoding. PRNI 2015: 5-8 - [c22]Itir Onal, Emre Aksan, Burak Velioglu, Orhan Firat, Mete Ozay, Fatos T. Yarman-Vural:
Bilişsel durum analizi i~in beyin Aği modeli. SIU 2015: 1688-1692 - [i10]Ümit Rusen Aktas, Mete Ozay, Ales Leonardis, Jeremy L. Wyatt:
A Graph Theoretic Approach for Object Shape Representation in Compositional Hierarchies Using a Hybrid Generative-Descriptive Model. CoRR abs/1501.05192 (2015) - [i9]Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models. CoRR abs/1502.04254 (2015) - [i8]Mete Ozay:
Semi-supervised Segmentation Fusion of Multi-spectral and Aerial Images. CoRR abs/1502.04981 (2015) - [i7]Mete Ozay, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Fusion of Image Segmentation Algorithms using Consensus Clustering. CoRR abs/1502.05435 (2015) - [i6]Mete Özay, Krzysztof Walas, Ales Leonardis:
A Hierarchical Approach for Joint Multi-view Object Pose Estimation and Categorization. CoRR abs/1503.01393 (2015) - [i5]Mete Özay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Machine Learning Methods for Attack Detection in the Smart Grid. CoRR abs/1503.06468 (2015) - [i4]Yan Zhang, Mete Ozay, Xing Liu, Takayuki Okatani:
Integrating Deep Features for Material Recognition. CoRR abs/1511.06522 (2015) - [i3]Zhun Sun, Mete Özay, Takayuki Okatani:
Design of Kernels in Convolutional Neural Networks for Image Classification. CoRR abs/1511.09231 (2015) - 2014
- [c21]Burak Velioglu, Emre Aksan, Itir Onal, Orhan Firat, Mete Ozay, Fatos T. Yarman-Vural:
Functional networks of anatomic brain regions. ICCI*CC 2014: 53-60 - [c20]Ümit Rusen Aktas, Mete Ozay, Ales Leonardis, Jeremy L. Wyatt:
A Graph Theoretic Approach for Object Shape Representation in Compositional Hierarchies Using a Hybrid Generative-Descriptive Model. ECCV (3) 2014: 566-581 - [c19]Itir Onal, Emre Aksan, Burak Velioglu, Orhan Firat, Mete Ozay, Ilke Öztekin, Fatos T. Yarman-Vural:
Modeling the Brain Connectivity for Pattern Analysis. ICPR 2014: 3339-3344 - [c18]Mete Ozay:
Semi-supervised Segmentation Fusion of Multi-spectral and Aerial Images. ICPR 2014: 3839-3844 - [c17]Mete Ozay, Krzysztof Walas, Ales Leonardis:
A hierarchical approach for joint multi-view object pose estimation and categorization. ICRA 2014: 5480-5487 - [c16]Itir Önal, Emre Aksan, Burak Velioglu, Orhan Firat, Mete Ozay, Like Oztekin, Fatos T. Yarman-Vural:
Estimating brain connectivity for pattern analysis. SIU 2014: 1806-1809 - 2013
- [b1]Mete Özay:
Decision fusion for supervised, unsupervised and semi-supervised learnings ; Denetimli, denetimsiz ve yarı-denetimli öğrenme icin veri füzyonu. Middle East Technical University, Çankaya, Ankara, Turkey, 2013 - [j3]Orhan Firat, Mete Özay, Itir Önal, Ilke Öztekin, Fatos T. Yarman-Vural:
Enhancing Local Linear Models Using Functional Connectivity for Brain State Decoding. Int. J. Cogn. Informatics Nat. Intell. 7(3): 46-57 (2013) - [j2]Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models. IEEE J. Sel. Areas Commun. 31(7): 1306-1318 (2013) - [j1]Çaglar Senaras, Mete Ozay, Fatos T. Yarman-Vural:
Building Detection With Decision Fusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(3): 1295-1304 (2013) - [c15]Orhan Firat, Mete Ozay, Itir Onal, Ilke Öztekin, Fatos T. Yarman-Vural:
Functional Mesh Learning for pattern analysis of cognitive processes. ICCI*CC 2013: 161-167 - [c14]Itir Onal, Mete Ozay, Orhan Firat, Ilke Öztekin, Fatos T. Yarman-Vural:
An information theoretic approach to classify cognitive states using fMRI. BIBE 2013: 1-6 - [c13]Itir Onal, Mete Ozay, Orhan Firat, Ilke Öztekin, Fatos Tünay Yarman Vural:
Analyzing the information distribution in the fMRI measurements by estimating the degree of locality. EMBC 2013: 6772-6775 - [c12]Orhan Firat, Mete Ozay, Itir Onal, Ilke Öztekin, Fatos Tünay Yarman Vural:
Representation of cognitive processes using the minimum spanning tree of local meshes. EMBC 2013: 6780-6783 - [c11]Omer Ekmekci, Orhan Firat, Mete Ozay, Ilke Öztekin, Fatos T. Yarman-Vural, Uygar Öztekin:
Mesh learning for object classification using fMRI measurements. ICIP 2013: 2631-2634 - [c10]Mete Ozay, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Fusion of image segmentation algorithms using consensus clustering. ICIP 2013: 4049-4053 - [c9]Orhan Firat, Mete Ozay, Itir Önal, Ilke Öztekin, Fatos T. Yarman-Vural:
Cognitive process representation with minimum spanning tree of local meshes. SIU 2013: 1-4 - [c8]Itir Önal, Mete Ozay, Orhan Firat, Ilke Öztekin, Fatos T. Yarman-Vural:
Information distribution analysis in the fMRI measurements with degree of locality estimation. SIU 2013: 1-4 - 2012
- [c7]Çaglar Senaras, Baris Yüksel, Mete Ozay, Fatos T. Yarman-Vural:
Automatic building detection with feature space fusion using ensemble learning. IGARSS 2012: 6713-6716 - [c6]Orhan Firat, Mete Ozay, Itir Önal, Ilke Öztekin, Fatos T. Yarman-Vural:
Mesh learning approach for brain data modeling. SIU 2012: 1-4 - [c5]Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Distributed models for sparse attack construction and state vector estimation in the smart grid. SmartGridComm 2012: 306-311 - [c4]Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor:
Smarter security in the smart grid. SmartGridComm 2012: 312-317 - [i2]Mete Ozay, Fatos T. Yarman-Vural:
A New Fuzzy Stacked Generalization Technique for Deep learning and Analysis of its Performance. CoRR abs/1204.0171 (2012) - [i1]Mete Ozay, Ilke Öztekin, Uygar Öztekin, Fatos T. Yarman-Vural:
Mesh Learning for Classifying Cognitive Processes. CoRR abs/1205.2382 (2012)
2000 – 2009
- 2009
- [c3]Mete Ozay, Fatos Tünay Yarman Vural:
A new decision fusion technique for image classification. ICIP 2009: 2189-2192 - [c2]Mete Ozay, Okan Akalin, Fatos T. Yarman-Vural:
Ensemble detection: A new architecture for multisensor data fusion with ensemble learning for object detection. ISCIS 2009: 420-425 - 2008
- [c1]Mete Ozay, Fatos Tünay Yarman Vural:
On the Performance of Stacked Generalization Classifiers. ICIAR 2008: 445-454
Coauthor Index
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