Data driven frequency mapping for computationally scalable object detection. - Fatih Porikli; Huseyin Ozkan (AVSS, 2011)

A novel training method for PHMMs. - Huseyin Ozkan; Arda Akman; Salih Ergüt; Suleyman Serdar Kozat (CIP, 2012)

Transient analysis of convexly constrained mixture methods. - Mehmet A. Donmez; Huseyin Ozkan; Suleyman Serdar Kozat (MLSP, 2012)

Hidden Markov Model training with side information. - Huseyin Ozkan; Arda Akman; Suleyman Serdar Kozat (SIU, 2012)

A novel and incremental classification algorithm. - Huseyin Ozkan; Ozgun S. Pelvan; Arda Akman; Suleyman Serdar Kozat (SIU, 2012)

A Novel Training Algorithm for HMMs with Partial and Noisy Access to the States - Huseyin Ozkan; Arda Akman; Suleyman Serdar Kozat (CoRR, 2012)

Competitive and online piecewise linear classification. - Huseyin Ozkan; Mehmet A. Donmez; Ozgun S. Pelvan; Arda Akman; Suleyman Serdar Kozat (ICASSP, 2013)

A novel and robust parameter training approach for HMMs under noisy and partial access to states. - Huseyin Ozkan; Arda Akman; Suleyman Serdar Kozat (Signal Process., 2014)

Online Nonlinear Classification for High-Dimensional Data. - N. Denizcan Vanli; Huseyin Ozkan; Ibrahim Delibalta; Suleyman Serdar Kozat (BigData Congress, 2015)

Comparison of infrared and visible imagery for object tracking: Toward trackers with superior IR performance. - Erhan Gundogdu; Huseyin Ozkan; H. Seckin Demir; Hamza Ergezer; Erdem Akagündüz; S. Kubilay Pakin (CVPR Workshops, 2015)

Acoustic direction finding in highly reverberant environment with single acoustic vector sensor. - Metin Aktas; Toygar Akgün; Huseyin Ozkan (EUSIPCO, 2015)

Online anomaly detection with constant false alarm rate. - Huseyin Ozkan; Fatih Ozkan; Ibrahim Delibalta; Suleyman Serdar Kozat (MLSP, 2015)

Acoustic direction finding under high reverberation. - Metin Aktas; Toygar Akgun; Duygu Buyukaydin; Huseyin Ozkan (SIU, 2015)

A Deterministic Analysis of an Online Convex Mixture of Experts Algorithm. - Huseyin Ozkan; Mehmet A. Donmez; Sait Tunç; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2015)

Data Imputation Through the Identification of Local Anomalies. - Huseyin Ozkan; Ozgun Soner Pelvan; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2015)

Ensemble Of adaptive correlation filters for robust visual tracking. - Erhan Gundogdu; Huseyin Ozkan; A. Aydin Alatan (AVSS, 2016)

Adaptive hierarchical space partitioning for online classification. - Osman Fatih Kiliç; N. Denizcan Vanli; Huseyin Ozkan; Ibrahim Delibalta; Suleyman Serdar Kozat (EUSIPCO, 2016)

Directional phased based 3D acoustic enhancement. - Metin Aktas; Toygar Akgün; Huseyin Ozkan (SIU, 2016)

Online adaptive hierarchical space partitioning classifier. - Osman Fatih Kiliç; N. Denizcan Vanli; Huseyin Ozkan; Ibrahim Delibalta; Suleyman Serdar Kozat (SIU, 2016)

Online Anomaly Detection Under Markov Statistics With Controllable Type-I Error. - Huseyin Ozkan; Fatih Ozkan; Suleyman Serdar Kozat (IEEE Trans. Signal Process., 2016)

Online Classification via Self-Organizing Space Partitioning. - Huseyin Ozkan; N. Denizcan Vanli; Suleyman Serdar Kozat (IEEE Trans. Signal Process., 2016)

Extending Correlation Filter-Based Visual Tracking by Tree-Structured Ensemble and Spatial Windowing. - Erhan Gundogdu; Huseyin Ozkan; A. Aydin Alatan (IEEE Trans. Image Process., 2017)

Acoustic direction finding using single acoustic vector sensor under high reverberation. - Metin Aktas; Huseyin Ozkan (Digit. Signal Process., 2018)

Boosted adaptive filters. - Dariush Kari; Ali H. Mirza; Farhan Khan; Huseyin Ozkan; Suleyman Serdar Kozat (Digit. Signal Process., 2018)

Efficient NP Tests for Anomaly Detection Over Birth-Death Type DTMCs. - Huseyin Ozkan; Fatih Ozkan; Ibrahim Delibalta; Suleyman Serdar Kozat (J. Signal Process. Syst., 2018)

Sequential Anomaly Detection Using Nonparametric Density Estimators. - Mine Kerpicci; Suleyman Serdar Kozat; Huseyin Ozkan (SIU, 2019)

Machine learning based smart steering for wireless mesh networks. - Bulut Kuskonmaz; Huseyin Ozkan; Özgür Gürbüz (Ad Hoc Networks, 2019)

Nonlinear digital self-interference cancellation for full duplex communication. - Mikail Yilan; Özgür Gürbüz; Huseyin Ozkan (Phys. Commun., 2019)

Nonlinear regression via incremental decision trees. - N. Denizcan Vanli; Muhammed O. Sayin; Mohammadreza Mohaghegh Neyshabouri; Huseyin Ozkan; Suleyman Serdar Kozat (Pattern Recognit., 2019)

Asymptotically Optimal Contextual Bandit Algorithm Using Hierarchical Structures. - Mohammadreza Mohaghegh Neyshabouri; Kaan Gökcesu; Hakan Gökcesu; Huseyin Ozkan; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2019)

Online Kernel-Based Nonlinear Neyman-Pearson Classification. - Basarbatu Can; Mine Kerpicci; Huseyin Ozkan (EUSIPCO, 2020)

A Residual Scheme for Digital Self-Interference Cancellation in Full Duplex Communication. - Mikail Yilan; Özgür Gürbüz; Huseyin Ozkan (ICC Workshops, 2020)

Neyman-Pearson Classification Via Context Trees. - Basarbatu Can; Hüseyin Özkan (SIU, 2020)

Smart Steering with Machine Learning for Wireless Mesh Networks. - Bulut Kuskonmaz; Hüseyin Özkan; Özgür Gürbüz (SIU, 2020)

Digital Self-interference Cancellation with Support Vector Regression for Full Duplex Communication. - Mikail Yilan; Hüseyin Özkan; Özgür Gürbüz (SIU, 2020)

Nonlinear Digital Self-interference Cancellation with SVR for Full Duplex Communication. - Mikail Yilan; Huseyin Ozkan; Özgür Gürbüz (WCNC, 2020)

A Neural Network Approach for Online Nonlinear Neyman-Pearson Classification. - Basarbatu Can; Huseyin Ozkan (IEEE Access, 2020)

Adaptive Boosting of DNN Ensembles for Brain-Computer Interface Spellers. - Osman Berke Güney; Emirhan Koç; Can Aksoy; Yigit Çatak; Suayb S. Arslan; Hüseyin Özkan (SIU, 2021)

Multimedia traffic classification with mixture of Markov components. - Huseyin Ozkan; Recep Temelli; Özgür Gürbüz; Oguz Kaan Koksal; Ahmet Kaan Ipekoren; Furkan Canbal; Baran Deniz Karahan; Mehmet Sükrü Kuran (Ad Hoc Networks, 2021)

Online Anomaly Detection With Bandwidth Optimized Hierarchical Kernel Density Estimators. - Mine Kerpicci; Huseyin Ozkan; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2021)

Integrated Linear and Nonlinear Digital Cancellation for Full Duplex Communication. - Mikail Yilan; Özgür Gürbüz; Huseyin Ozkan (IEEE Wirel. Commun., 2021)

Object-Centric Video Anomaly Detection with Covariance Features. - Ali Enver Bilecen; Hüseyin Özkan (SIU, 2022)

Active Learning for Online Nonlinear Neyman-Pearson Classification. - Basarbatu Can; Hüseyin Özkan (SIU, 2022)

Deep Convolutional Autoencoder Architecture for Predictive Maintenance Applications. - Yigit Çatak; Kerem Sahin; Osman Berke Güney; Hüseyin Özkan (SIU, 2022)

Unsupervised Adaptation of DNN for Brain-Computer Interface Spellers. - Osman Berke Güney; Deniz Küçükahmetler; Pelinsu Çiftçioglu; Giray Coskun; Hüseyin Özkan (SIU, 2022)

Anomaly Detection in Surveillance Videos Using Regression With Recurrent Neural Networks. - Mehmet Yagan; E. Alaattin Yilmaz; Hüseyin Özkan (SIU, 2022)

Transfer Learning of an Ensemble of DNNs for SSVEP BCI Spellers without User-Specific Training. - Osman Berke Güney; Huseyin Ozkan (CoRR, 2022)

Video anomaly detection with autoregressive modeling of covariance features. - Ali Enver Bilecen; Alp Ozalp; Muhammet Sami Yavuz; Huseyin Ozkan (Signal Image Video Process., 2022)

A Deep Neural Network for SSVEP-Based Brain-Computer Interfaces. - Osman Berke Güney; Muhtasham Oblokulov; Huseyin Ozkan (IEEE Trans. Biomed. Eng., 2022)

A New Online Nonlinear Self-Interference Cancelation Method With Random Fourier Features. - Mikail Erdem; Huseyin Ozkan; Özgür Gürbüz (IEEE Wirel. Commun. Lett., 2022)

Online Improvement of CCA Performance in BCI Spellers. - Tarik Keles; Hüseyin Özkan; Aysin Baytan Ertüzün (SIU, 2023)

Anomaly Detection with False Alarm Rate Controllable Classifiers. - Soner Özgün Pelvan; Basarbatu Can; Hüseyin Özkan (SIU, 2023)

A Hierarchical Approach for Improved Anomaly Detection in Video Surveillance. - Soner Özgün Pelvan; Basarbatu Can; Huseyin Ozkan (IEEE Access, 2023)

Source Free Domain Adaptation of a DNN for SSVEP-based Brain-Computer Interfaces. - Osman Berke Güney; Deniz Küçükahmetler; Huseyin Ozkan (CoRR, 2023)

ADRMX: Additive Disentanglement of Domain Features with Remix Loss. - Berker Demirel; Erchan Aptoula; Huseyin Ozkan (CoRR, 2023)

A new benchmark dataset for P300 ERP-based BCI applications. - Mehmet Yagan; Serkan Musellim; Suayb S. Arslan; Tuna Çakar; Nihan Alp; Huseyin Ozkan (Digit. Signal Process., 2023)

Decompl: Decompositional Learning with Attention Pooling for Group Activity Recognition from a Single Volleyball Image. - Berker Demirel; Huseyin Ozkan (ICIP, 2024)

Nesne Seçme İçin Beyin Bilgisayar Arayüzü Brain Computer Interface for Object Selection. - Aleyna Nur Aydag; Gamze Kantar; Can Aksoy; Nihan Alp; Hüseyin Özkan (SIU, 2024)

Online Learning for Autonomous Management of Intent-based 6G Networks. - Erciyes Karakaya; Özgür Erçetin; Huseyin Ozkan; Mehmet Karaca 001; Elham Dehghan Biyar; Alexandros Palaios (CoRR, 2024)

Adapting the Biological SSVEP Response to Artificial Neural Networks. - Emirhan Böge; Yasemin Gunindi; Erchan Aptoula; Nihan Alp; Huseyin Ozkan (CoRR, 2024)

Online Neyman-Pearson Classification With Hierarchically Represented Models. - Basarbatu Can; Soner Özgün Pelvan; Huseyin Ozkan (IEEE J. Sel. Top. Signal Process., 2025)

Distance Transform Guided Mixup for Alzheimer's Detection. - Zobia Batool; Huseyin Ozkan; Erchan Aptoula (CoRR, 2025)

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning. - Zobia Batool; Huseyin Ozkan; Erchan Aptoula (CoRR, 2025)