On the Performance of Stacked Generalization Classifiers. - Mete Ozay; Fatos Tünay Yarman Vural (ICIAR, 2008)

A new decision fusion technique for image classification. - Mete Ozay; Fatos Tünay Yarman Vural (ICIP, 2009)

Ensemble detection: A new architecture for multisensor data fusion with ensemble learning for object detection. - Mete Ozay; Okan Akalin; Fatos T. Yarman-Vural (ISCIS, 2009)

Automatic building detection with feature space fusion using ensemble learning. - Çaglar Senaras; Baris Yüksel; Mete Ozay; Fatos T. Yarman-Vural (IGARSS, 2012)

Mesh learning approach for brain data modeling. - Orhan Firat; Mete Ozay; Itir Önal; Ilke Öztekin; Fatos T. Yarman-Vural (SIU, 2012)

Distributed models for sparse attack construction and state vector estimation in the smart grid. - Mete Ozay; Inaki Esnaola; Fatos T. Yarman-Vural; Sanjeev R. Kulkarni; H. Vincent Poor (SmartGridComm, 2012)

Smarter security in the smart grid. - Mete Ozay; Inaki Esnaola; Fatos T. Yarman-Vural; Sanjeev R. Kulkarni; H. Vincent Poor (SmartGridComm, 2012)

A New Fuzzy Stacked Generalization Technique for Deep learning and Analysis of its Performance - Mete Ozay; Fatos T. Yarman-Vural (CoRR, 2012)

Mesh Learning for Classifying Cognitive Processes - Mete Ozay; Ilke Öztekin; Uygar Öztekin; Fatos T. Yarman-Vural (CoRR, 2012)

Functional Mesh Learning for pattern analysis of cognitive processes. - Orhan Firat; Mete Ozay; Itir Onal; Ilke Öztekin; Fatos T. Yarman-Vural (ICCI*CC, 2013)

An information theoretic approach to classify cognitive states using fMRI. - Itir Onal; Mete Ozay; Orhan Firat; Ilke Öztekin; Fatos T. Yarman-Vural (BIBE, 2013)

Representation of cognitive processes using the minimum spanning tree of local meshes. - Orhan Firat; Mete Ozay; Itir Onal; Ilke Öztekin; Fatos Tünay Yarman Vural (EMBC, 2013)

Analyzing the information distribution in the fMRI measurements by estimating the degree of locality. - Itir Onal; Mete Ozay; Orhan Firat; Ilke Öztekin; Fatos Tünay Yarman Vural (EMBC, 2013)

Mesh learning for object classification using fMRI measurements. - Omer Ekmekci; Orhan Firat; Mete Ozay; Ilke Öztekin; Fatos T. Yarman-Vural; Uygar Öztekin (ICIP, 2013)

Fusion of image segmentation algorithms using consensus clustering. - Mete Ozay; Fatos T. Yarman-Vural; Sanjeev R. Kulkarni; H. Vincent Poor (ICIP, 2013)

Cognitive process representation with minimum spanning tree of local meshes. - Orhan Firat; Mete Ozay; Itir Önal; Ilke Öztekin; Fatos T. Yarman-Vural (SIU, 2013)

Information distribution analysis in the fMRI measurements with degree of locality estimation. - Itir Önal; Mete Ozay; Orhan Firat; Ilke Öztekin; Fatos T. Yarman-Vural (SIU, 2013)

Enhancing Local Linear Models Using Functional Connectivity for Brain State Decoding. - Orhan Firat; Mete Özay; Itir Önal; Ilke Öztekin; Fatos T. Yarman-Vural (Int. J. Cogn. Informatics Nat. Intell., 2013)

Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models. - Mete Ozay; Inaki Esnaola; Fatos T. Yarman-Vural; Sanjeev R. Kulkarni; H. Vincent Poor (IEEE J. Sel. Areas Commun., 2013)

Building Detection With Decision Fusion. - Çaglar Senaras; Mete Ozay; Fatos T. Yarman-Vural (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013)

Decision fusion for supervised, unsupervised and semi-supervised learnings ; Denetimli, denetimsiz ve yarı-denetimli öğrenme icin veri füzyonu. - Mete Özay (2013)

Functional networks of anatomic brain regions. - Burak Velioglu; Emre Aksan; Itir Onal; Orhan Firat; Mete Ozay; Fatos T. Yarman-Vural (ICCI*CC, 2014)

A Graph Theoretic Approach for Object Shape Representation in Compositional Hierarchies Using a Hybrid Generative-Descriptive Model. - Ümit Rusen Aktas; Mete Ozay; Ales Leonardis; Jeremy L. Wyatt (ECCV (3), 2014)

Modeling the Brain Connectivity for Pattern Analysis. - Itir Onal; Emre Aksan; Burak Velioglu; Orhan Firat; Mete Ozay; Ilke Öztekin; Fatos T. Yarman-Vural (ICPR, 2014)

Semi-supervised Segmentation Fusion of Multi-spectral and Aerial Images. - Mete Ozay (ICPR, 2014)

A hierarchical approach for joint multi-view object pose estimation and categorization. - Mete Ozay; Krzysztof Walas; Ales Leonardis (ICRA, 2014)

Estimating brain connectivity for pattern analysis. - Itir Önal; Emre Aksan; Burak Velioglu; Orhan Firat; Mete Ozay; Like Oztekin; Fatos T. Yarman-Vural (SIU, 2014)

Functional Mesh Model with Temporal Measurements for brain decoding. - Itir Önal; Mete Ozay; Fatos T. Yarman-Vural (EMBC, 2015)

Compositional Hierarchical Representation of Shape Manifolds for Classification of Non-manifold Shapes. - Mete Ozay; Ümit Rusen Aktas; Jeremy L. Wyatt; Ales Leonardis (ICCV, 2015)

Modeling Voxel Connectivity for Brain Decoding. - Itir Önal; Mete Ozay; Fatos T. Yarman-Vural (PRNI, 2015)

Bilişsel durum analizi i in beyin Aği modeli. - Itir Onal; Emre Aksan; Burak Velioglu; Orhan Firat; Mete Ozay; Fatos T. Yarman-Vural (SIU, 2015)

Design of Kernels in Convolutional Neural Networks for Image Classification. - Zhun Sun; Mete Ozay; Takayuki Okatani (ECCV (7), 2016)

Integrating deep features for material recognition. - Yan Zhang 055; Mete Ozay; Xing Liu 010; Takayuki Okatani (ICPR, 2016)

Encoding the Local Connectivity Patterns of fMRI for Cognitive State Classification. - Itir Önal Ertugrul; Mete Ozay; Fatos T. Yarman-Vural (CoRR, 2016)

Modeling the Sequence of Brain Volumes by Local Mesh Models for Brain Decoding. - Itir Onal; Mete Ozay; Eda Mizrak; Ilke Öztekin; Fatos T. Yarman-Vural (CoRR, 2016)

A Hierarchical Multi-resolution Mesh Network for Brain Decoding. - Itir Önal; Mete Ozay; Fatos Tünay Yarman Vural (CoRR, 2016)

Optimization on Submanifolds of Convolution Kernels in CNNs. - Mete Ozay; Takayuki Okatani (CoRR, 2016)

Hierarchical distance learning by stacking nearest neighbor classifiers. - Mete Ozay; Fatos Tünay Yarman Vural (Inf. Fusion, 2016)

Machine Learning Methods for Attack Detection in the Smart Grid. - Mete Ozay; Inaki Esnaola; Fatos Tünay Yarman Vural; Sanjeev R. Kulkarni; H. Vincent Poor (IEEE Trans. Neural Networks Learn. Syst., 2016)

Truncating Wide Networks Using Binary Tree Architectures. - Yan Zhang 055; Mete Ozay; Shuohao Li; Takayuki Okatani (ICCV, 2017)

Optimization on Product Submanifolds of Convolution Kernels. - Mete Ozay; Takayuki Okatani (CoRR, 2017)

Improving Robustness of Feature Representations to Image Deformations using Powered Convolution in CNNs. - Zhun Sun; Mete Ozay; Takayuki Okatani (CoRR, 2017)

Linear Discriminant Generative Adversarial Networks. - Zhun Sun; Mete Ozay; Takayuki Okatani (CoRR, 2017)

Information Potential Auto-Encoders. - Yan Zhang 055; Mete Ozay; Zhun Sun; Takayuki Okatani (CoRR, 2017)

HyperNetworks with statistical filtering for defending adversarial examples. - Zhun Sun; Mete Ozay; Takayuki Okatani (CoRR, 2017)

A vision based system for underwater docking. - Shuang Liu 002; Mete Ozay; Takayuki Okatani; Hongli Xu; Kai Sun; Yang Lin (CoRR, 2017)

A New Representation of fMRI Signal by a Set of Local Meshes for Brain Decoding. - Itir Onal; Mete Ozay; Eda Mizrak; Ilke Öztekin; Fatos Tünay Yarman Vural (IEEE Trans. Signal Inf. Process. over Networks, 2017)

Training CNNs With Normalized Kernels. - Mete Özay; Takayuki Okatani (AAAI, 2018)

Feature Quantization for Defending Against Distortion of Images. - Zhun Sun; Mete Ozay; Yan Zhang 055; Xing Liu 010; Takayuki Okatani (CVPR, 2018)

Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search. - Masanori Suganuma; Mete Ozay; Takayuki Okatani (ICML, 2018)

Deep Structured Energy-Based Image Inpainting. - Fazil Altinel; Mete Ozay; Takayuki Okatani (ICPR, 2018)

Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment. - Mingzhen Shao; Zhun Sun; Mete Ozay; Takayuki Okatani (FG, 2019)

A Generative Model of Underwater Images for Active Landmark Detection and Docking. - Shuang Liu 002; Mete Özay; Hongli Xu; Yang Lin; Takayuki Okatani (IROS, 2019)

Fine-grained Optimization of Deep Neural Networks. - Mete Ozay (NeurIPS, 2019)

Adaptive Normalized Attacks for Learning Adversarial Attacks and Defenses in Power Systems. - Jiwei Tian; Tengyao Li; Fute Shang; Kunrui Cao; Jing Li; Mete Ozay (SmartGridComm, 2019)

Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps With Accurate Object Boundaries. - Junjie Hu 003; Mete Ozay; Yan Zhang 055; Takayuki Okatani (WACV, 2019)

Detection and Pose Estimation for Short-Range Vision-Based Underwater Docking. - Shuang Liu 002; Mete Ozay; Takayuki Okatani; Hongli Xu; Kai Sun; Yang Lin (IEEE Access, 2019)

A Computationally Efficient Neural Network Invariant to the Action of Symmetry Subgroups. - Piotr Kicki; Mete Ozay; Piotr Skrzypczynski (CoRR, 2020)

A New Neural Network Architecture Invariant to the Action of Symmetry Subgroups. - Piotr Kicki; Mete Ozay; Piotr Skrzypczynski (CoRR, 2020)

A Mixed Quantization Network for Efficient Mobile Inverse Tone Mapping. - Juan Borrego-Carazo; Mete Ozay; Frederik Laboyrie; Paul Wisbey (BMVC, 2021)

Are All Users Treated Fairly in Federated Learning Systems? - Umberto Michieli; Mete Ozay (CVPR Workshops, 2021)

A New Approach to Design Symmetry Invariant Neural Networks. - Piotr Kicki; Piotr Skrzypczynski; Mete Ozay (IJCNN, 2021)

Prototype Guided Federated Learning of Visual Feature Representations. - Umberto Michieli; Mete Ozay (CoRR, 2021)

Task Guided Compositional Representation Learning for ZDA. - Shuang Liu 002; Mete Ozay (CoRR, 2021)

Learning from experience for rapid generation of local car maneuvers. - Piotr Kicki; Tomasz Gawron; Krzysztof Cwian; Mete Ozay; Piotr Skrzypczynski (Eng. Appl. Artif. Intell., 2021)

Bring Evanescent Representations to Life in Lifelong Class Incremental Learning. - Marco Toldo; Mete Ozay (CVPR, 2022)

Feature Kernel Distillation. - Bobby He; Mete Ozay (ICLR, 2022)

Exploring the Gap between Collapsed & Whitened Features in Self-Supervised Learning. - Bobby He; Mete Ozay (ICML, 2022)

FedNST: Federated Noisy Student Training for Automatic Speech Recognition. - Haaris Mehmood; Agnieszka Dobrowolska; Karthikeyan Saravanan; Mete Ozay (INTERSPEECH, 2022)

pMCT: Patched Multi-Condition Training for Robust Speech Recognition. - Pablo Peso Parada; Agnieszka Dobrowolska; Karthikeyan Saravanan; Mete Ozay (INTERSPEECH, 2022)

Adversarial Attacks and Defense Methods for Power Quality Recognition. - Jiwei Tian; Buhong Wang; Jing Li; Zhen Wang 020; Mete Ozay (CoRR, 2022)

A Mixed Quantization Network for Computationally Efficient Mobile Inverse Tone Mapping. - Juan Borrego-Carazo; Mete Ozay; Frederik Laboyrie; Paul Wisbey (CoRR, 2022)

Deep Depth Completion: A Survey. - Junjie Hu 003; Chenyu Bao; Mete Ozay; Chenyou Fan; Qing Gao 002; Honghai Liu 001; Tin Lun Lam (CoRR, 2022)

Data-free Dense Depth Distillation. - Junjie Hu 003; Chenyou Fan; Mete Ozay; Hualie Jiang; Tin Lun Lam (CoRR, 2022)

Exploring Targeted and Stealthy False Data Injection Attacks via Adversarial Machine Learning. - Jiwei Tian; Buhong Wang; Jing Li; Zhen Wang 020; Bowen Ma; Mete Ozay (IEEE Internet Things J., 2022)

Joint Adversarial Example and False Data Injection Attacks for State Estimation in Power Systems. - Jiwei Tian; Buhong Wang; Zhen Wang 020; Kunrui Cao; Jing Li; Mete Ozay (IEEE Trans. Cybern., 2022)

Data-Free Model Pruning at Initialization via Expanders. - James Stewart; Umberto Michieli; Mete Ozay (CVPR Workshops, 2023)

Conceptual and Hierarchical Latent Space Decomposition for Face Editing. - Savas Özkan; Mete Özay; Tom Robinson (ICCV, 2023)

A Model for Every User and Budget: Label-Free and Personalized Mixed-Precision Quantization. - Edward Fish; Umberto Michieli; Mete Ozay (INTERSPEECH, 2023)

On-Device Speaker Anonymization of Acoustic Embeddings for ASR based on Flexible Location Gradient Reversal Layer. - Md Asif Jalal; Pablo Peso Parada; Jisi Zhang; Mete Ozay; Karthikeyan Saravanan; Myoungji Han; Jungin Lee; Seokyeong Jung (INTERSPEECH, 2023)

Online Continual Learning in Keyword Spotting for Low-Resource Devices via Pooling High-Order Temporal Statistics. - Umberto Michieli; Pablo Peso Parada; Mete Ozay (INTERSPEECH, 2023)

Online Continual Learning for Robust Indoor Object Recognition. - Umberto Michieli; Mete Ozay (IROS, 2023)

LRA&LDRA: Rethinking Residual Predictions for Efficient Shadow Detection and Removal. - Mehmet Kerim Yücel; Valia Dimaridou; Bruno Manganelli; Mete Ozay; Anastasios Drosou; Albert Saà-Garriga (WACV, 2023)

On-Device Speaker Anonymization of Acoustic Embeddings for ASR based onFlexible Location Gradient Reversal Layer. - Md Asif Jalal; Pablo Peso Parada; Jisi Zhang; Karthikeyan Saravanan; Mete Ozay; Myoungji Han; Jungin Lee; Seokyeong Jung (CoRR, 2023)

Federated Learning via Attentive Margin of Semantic Feature Representations. - Umberto Michieli; Marco Toldo; Mete Ozay (IEEE Internet Things J., 2023)

Deep Depth Completion From Extremely Sparse Data: A Survey. - Junjie Hu 003; Chenyu Bao; Mete Ozay; Chenyou Fan; Qing Gao 002; Honghai Liu 001; Tin Lun Lam (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Task guided representation learning using compositional models for zero-shot domain adaptation. - Shuang Liu 002; Mete Ozay (Neural Networks, 2023)

HOP to the Next Tasks and Domains for Continual Learning in NLP. - Umberto Michieli; Mete Ozay (AAAI, 2024)

A Study of Parameter Efficient Fine-tuning by Learning to Efficiently Fine-Tune. - Taha Ceritli; Savas Özkan; Jeongwon Min; Eunchung Noh; Cho Min; Mete Ozay (EMNLP (Findings), 2024)

LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models. - Hayder Elesedy; Pedro M. Esperança; Silviu Vlad Oprea; Mete Ozay (EMNLP, 2024)

Model Merging and Safety Alignment: One Bad Model Spoils the Bunch. - Hasan Hammoud; Umberto Michieli; Fabio Pizzati; Philip Torr 001; Adel Bibi; Bernard Ghanem; Mete Ozay (EMNLP (Findings), 2024)

Deep Neural Network Models Trained with a Fixed Random Classifier Transfer Better Across Domains. - Hafiz Tiomoko Ali; Umberto Michieli; Ji Joong Moon; Daehyun Kim; Mete Ozay (ICASSP, 2024)

FFT-Based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images. - Elena Camuffo; Umberto Michieli; Jijoong Moon; Daehyun Kim; Mete Ozay (ICASSP, 2024)

Object-Conditioned Bag of Instances for Few-Shot Personalized Instance Recognition. - Umberto Michieli; Jijoong Moon; Daehyun Kim; Mete Ozay (ICASSP, 2024)

Joint Embedding Learning and Latent Subspace Probing for Cross-Domain Few-Shot Keyword Spotting. - Mete Ozay (ICASSP, 2024)

Texture and Normal Map Estimation for 3D Face Reconstruction. - Savas Özkan; Mete Ozay; Tom Robinson (ICASSP, 2024)

Towards Better Control Of Latent Spaces For Face Editing. - Savas Özkan; Mete Özay (ICIP, 2024)

Cross-Architecture Auxiliary Feature Space Translation for Efficient Few-Shot Personalized Object Detection. - Francesco Barbato; Umberto Michieli; Jijoong Moon; Pietro Zanuttigh; Mete Ozay (IROS, 2024)

Enhanced Model Robustness to Input Corruptions by Per-corruption Adaptation of Normalization Statistics. - Elena Camuffo; Umberto Michieli; Simone Milani; Jijoong Moon; Mete Ozay (IROS, 2024)

Swiss DINO: Efficient and Versatile Vision Framework for On-device Personal Object Search. - Kirill Paramonov; Jia-Xing Zhong; Umberto Michieli; Jijoong Moon; Mete Ozay (IROS, 2024)

A Modular System for Enhanced Robustness of Multimedia Understanding Networks via Deep Parametric Estimation. - Francesco Barbato; Umberto Michieli; Mehmet Kerim Yucel; Pietro Zanuttigh; Mete Ozay (MMSys, 2024)

DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation. - Jie Xu; Karthikeyan Saravanan; Rogier van Dalen; Haaris Mehmood; David Tuckey; Mete Ozay (CoRR, 2024)

Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical Framework for Low-Rank Adaptation. - Grigory Malinovsky; Umberto Michieli; Hasan Abed Al Kader Hammoud; Taha Ceritli; Hayder Elesedy; Mete Ozay; Peter Richtárik (CoRR, 2024)

LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation. - Donald Shenaj; Ondrej Bohdal; Mete Ozay; Pietro Zanuttigh; Umberto Michieli (CoRR, 2024)

Dense depth distillation with out-of-distribution simulated images. - Junjie Hu 003; Chenyou Fan; Mete Ozay; Hualie Jiang; Tin Lun Lam (Knowl. Based Syst., 2024)

DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching. - Emanuele Aiello; Umberto Michieli; Diego Valsesia; Mete Ozay; Enrico Magli (CVPR, 2025)

Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-Distillation. - Andrea Maracani; Savas Özkan; Sijun Cho; Hyowon Kim; Eunchung Noh; Jeongwon Min; Cho Jung Min; Dookun Park; Mete Ozay (CVPR, 2025)

ValSub: Subsampling Validation Data to Mitigate Forgetting during ASR Personalization. - Haaris Mehmood; Karthikeyan Saravanan; Pablo Peso Parada; David Tuckey; Mete Ozay; Gil Ho Lee; Jungin Lee; Seokyeong Jung (ICASSP, 2025)

A Study of Improving The Privacy-Utility Trade-off of Task-specific Models with Learnable Privacy. - Savas Özkan; Taha Ceritli; Jeongwon Min; Eunchung Noh; Jung Min Cho; Dookun Park; Mete Ozay (ICASSP, 2025)

Hyper-Refinement for Low-Rank Adaptation. - Savas Özkan; Taha Ceritli; Jeongwon Min; Eunchung Noh; Jung Min Cho; Dookun Park; Mete Ozay (ICASSP, 2025)

persoDA: Personalized Data Augmentation for Personalized ASR. - Pablo Peso Parada; Spyros Fontalis; Md Asif Jalal; Karthikeyan Saravanan; Anastasios Drosou; Mete Ozay; Gil Ho Lee; Jungin Lee; Seokyeong Jung (ICASSP, 2025)

Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning. - Kirill Paramonov; Mete Ozay; Eunju Yang; Jijoong Moon; Umberto Michieli (ICASSP, 2025)

Efficient and Accurate Scene Text Recognition with Cascaded-Transformers. - Savas Özkan; Andrea Maracani; Mete Ozay; Hyowon Kim; Sijun Cho; Eunchung Noh; Jeongwon Min; Jung Min Cho (MMSys, 2025)

Continual Error Correction on Low-Resource Devices. - Kirill Paramonov; Mete Ozay; Aristeidis Mystakidis; Nikolaos Tsalikidis; Dimitrios Sotos; Anastasios Drosou; Dimitrios Tzovaras; Hyunjun Kim; Kiseok Chang; Sangdok Mo; Namwoong Kim; Woojong Yoo; et al. (MMSys, 2025)

Unlocking the Value of Decentralized Data: A Federated Dual Learning Approach for Model Aggregation. - Junyi Zhu 002; Ruicong Yao; Taha Ceritli; Savas Özkan; Matthew B. Blaschko; Eunchung Noh; Jeongwon Min; Cho Jung Min; Mete Ozay (CoRR, 2025)

Efficient 3D Full-Body Motion Generation from Sparse Tracking Inputs with Temporal Windows. - Georgios-Fotios Angelis; Savas Özkan; Sinan Mutlu; Paul Wisbey; Anastasios Drosou; Mete Ozay (CoRR, 2025)

Efficient Compositional Multi-tasking for On-device Large Language Models. - Ondrej Bohdal; Mete Ozay; Jijoong Moon; Kyeng-Hun Lee; Hyeonmok Ko; Umberto Michieli (CoRR, 2025)

HydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging. - Taha Ceritli; Ondrej Bohdal; Mete Ozay; Jijoong Moon; Kyeng-Hun Lee; Hyeonmok Ko; Umberto Michieli (CoRR, 2025)

Unlocking Drone Perception in Low AGL Heights: Progressive Semi-Supervised Learning for Ground-to-Aerial Perception Knowledge Transfer. - Junjie Hu 003; Chenyou Fan; Mete Ozay; Hua Feng; Yuan Gao 024; Tin Lun Lam (IEEE Trans. Intell. Transp. Syst., 2025)