Support Vector Regression for Surveillance Purposes. - Sedat Ozer; Hakan A. Çirpan; Nihat Kabaoglu (MRCS, 2006)

Generalized Chebyshev Kernels for Support Vector Classification. - Sedat Ozer; Chi Hau Chen (ICPR, 2008)

Prostate Cancer Localization with Multispectral MRI Based on Relevance Vector Machines. - Sedat Ozer; Masoom A. Haider; Deanna L. Langer; Theodorus H. van der Kwast; Andrew J. Evans; Miles N. Wernick; John Trachtenberg; Imam Samil Yetik (ISBI, 2009)

Using K-NN SVMs for Performance Improvement and Comparison to K-Highest Lagrange Multipliers Selection. - Sedat Ozer; Chi Hau Chen; Imam Samil Yetik (SSPR/SPR, 2010)

Activity Detection for scientific visualization. - Sedat Ozer; Deborah Silver; Karen G. Bemis; Pino Martin; Jay Takle (LDAV, 2011)

A set of new Chebyshev kernel functions for support vector machine pattern classification. - Sedat Ozer; Chi Hau Chen; Hakan A. Çirpan (Pattern Recognit., 2011)

Group dynamics in scientific visualization. - Sedat Ozer; Jishang Wei; Deborah Silver; Kwan-Liu Ma; Pino Martin (LDAV, 2012)

An interactive method for activity detection visualization. - Li Liu 028; Sedat Ozer; Karen G. Bemis; Jay Takle; Deborah Silver (LDAV, 2013)

Image classification by multi-kernel dictionary learning. - Rituparna Sarkar; Sedat Ozer; Kevin Skadron; Scott T. Acton (ACSSC, 2014)

Activity Detection in Scientific Visualization. - Sedat Ozer; Deborah Silver; Karen G. Bemis; Pino Martin (IEEE Trans. Vis. Comput. Graph., 2014)

Visual Object Recognition with Image Retrieval. - Sedat Ozer (Handbook of Pattern Recognition and Computer Vision, 2016)

Coresets for Vector Summarization with Applications to Network Graphs. - Dan Feldman; Sedat Ozer; Daniela Rus (ICML, 2017)

Parametric Shape Modeling and Skeleton Extraction With Radial Basis Functions Using Similarity Domains Network. - Sedat Ozer (CVPR Workshops, 2019)

Controlling Steering Angle for Cooperative Self-driving Vehicles utilizing CNN and LSTM-based Deep Networks. - Rodolfo Valiente; Mahdi Zaman; Sedat Ozer; Yaser P. Fallah (IV, 2019)

Similarity Domains Machine for Scale-Invariant and Sparse Shape Modeling. - Sedat Ozer (IEEE Trans. Image Process., 2019)

SyNet: An Ensemble Network for Object Detection in UAV Images. - Berat Mert Albaba; Sedat Ozer (ICPR, 2020)

Visual Object Tracking in Drone Images with Deep Reinforcement Learning. - Derya Gözen; Sedat Ozer (ICPR, 2020)

Deep Receiver Design for Multi-carrier Waveforms Using CNNs. - Yasin Yildirim; Sedat Özer; Hakan Ali Çirpan (TSP, 2020)

GRJointNET: Synergistic Completion and Part Segmentation on 3D Incomplete Point Clouds. - Yigit Gürses; Melisa Taspinar; Mahmut Yurt; Sedat Özer (SIU, 2021)

Offloading Deep Learning Empowered Image Segmentation from UAV to Edge Server. - Hüseyin Enes Ilhan; Sedat Ozer; Günes Karabulut-Kurt; Hakan Ali Çirpan (TSP, 2021)

Simultaneous Prediction of Remaining-Useful-Life and Failure-Likelihood with GRU-based Deep Networks for Predictive Maintenance Analysis. - Ali Yuce Kaleli; Aras Firat Unal; Sedat Ozer (TSP, 2021)

YOLODrone: Improved YOLO Architecture for Object Detection in Drone Images. - Oyku Sahin; Sedat Ozer (TSP, 2021)

YOLODrone+: Improved YOLO Architecture for Object Detection in UAV Images. - Oyku Sahin; Sedat Ozer (SIU, 2022)

SiameseFuse: A computationally efficient and a not-so-deep network to fuse visible and infrared images. - Sedat Özer; Mert Ege; Mehmet Akif Özkanoglu (Pattern Recognit., 2022)

InfraGAN: A GAN architecture to transfer visible images to infrared domain. - Mehmet Akif Özkanoglu; Sedat Ozer (Pattern Recognit. Lett., 2022)

A Hybrid 3D Eddy Detection Technique Based on Sea Surface Height and Velocity Field. - Weiping Hua; Karen G. Bemis; Dujuan Kang; Sedat Ozer; Deborah Silver (EnvirVis@EuroVis, 2023)

ORTPiece: An ORT-Based Turkish Image Captioning Network Based on Transformers and WordPiece. - Asim Ersoy; Olcay Taner Yildiz; Sedat Özer (SIU, 2023)

Performance Analysis of Meta-Learning Based Bayesian Deep Kernel Transfer Methods for Regression Tasks. - Çagatay Savasli; Damla Tütüncü; Alain Patrick Ndigande; Sedat Özer (SIU, 2023)

Using Different Loss Functions with YOLACT++ for Real-Time Instance Segmentation. - Selin Koles; Selami Karakas; Alain Patrick Ndigande; Sedat Ozer (TSP, 2023)

Offloading Deep Learning Powered Vision Tasks From UAV to 5G Edge Server With Denoising. - Sedat Ozer; Hüseyin Enes Ilhan; Mehmet Akif Özkanoglu; Hakan A. Çirpan (IEEE Trans. Veh. Technol., 2023)

SkyDataNet: An Object Detection Algorithm with 2D Gaussian Loss for UAV-Based Aerial Images. - Mehmet Akif Özkanoglu; Ali C. Begen; Sedat Ozer (MIPR, 2024)

Improving the Explain-Any-Concept by Introducing Nonlinearity to the Trainable Surrogate Model. - Mounes Zaval; Sedat Ozer (SIU, 2024)

VisIRNet: Deep Image Alignment for UAV-Taken Visible and Infrared Image Pairs. - Sedat Özer; Alain Patrick Ndigande (IEEE Trans. Geosci. Remote. Sens., 2024)