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Huseyin Ozkan
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2020 – today
- 2024
- [c31]Aleyna Nur Aydag, Gamze Kantar, Can Aksoy, Nihan Alp, Hüseyin Özkan:
Nesne Seçme İçin Beyin Bilgisayar Arayüzü Brain Computer Interface for Object Selection. SIU 2024: 1-4 - [i10]Erciyes Karakaya, Özgür Erçetin, Huseyin Ozkan, Mehmet Karaca, Elham Dehghan Biyar, Alexandros Palaios:
Online Learning for Autonomous Management of Intent-based 6G Networks. CoRR abs/2407.17767 (2024) - [i9]Emirhan Böge, Yasemin Gunindi, Erchan Aptoula, Nihan Alp, Huseyin Ozkan:
Adapting the Biological SSVEP Response to Artificial Neural Networks. CoRR abs/2411.10084 (2024) - 2023
- [j22]Soner Özgün Pelvan
, Basarbatu Can, Huseyin Ozkan
A Hierarchical Approach for Improved Anomaly Detection in Video Surveillance. IEEE Access 11: 101644-101665 (2023) - [j21]Mehmet Yagan, Serkan Musellim, Suayb S. Arslan
A new benchmark dataset for P300 ERP-based BCI applications. Digit. Signal Process. 135: 103950 (2023) - [c30]Tarik Keles, Hüseyin Özkan, Aysin Baytan Ertüzün:
Online Improvement of CCA Performance in BCI Spellers. SIU 2023: 1-4 - [c29]Soner Özgün Pelvan, Basarbatu Can, Hüseyin Özkan:
Anomaly Detection with False Alarm Rate Controllable Classifiers. SIU 2023: 1-4 - [i8]Berker Demirel, Huseyin Ozkan:
DECOMPL: Decompositional Learning with Attention Pooling for Group Activity Recognition from a Single Volleyball Image. CoRR abs/2303.06439 (2023) - [i7]Osman Berke Güney, Deniz Küçükahmetler, Huseyin Ozkan:
Source Free Domain Adaptation of a DNN for SSVEP-based Brain-Computer Interfaces. CoRR abs/2305.17403 (2023) - [i6]Berker Demirel, Erchan Aptoula, Huseyin Ozkan:
ADRMX: Additive Disentanglement of Domain Features with Remix Loss. CoRR abs/2308.06624 (2023) - 2022
- [j20]Ali Enver Bilecen
Video anomaly detection with autoregressive modeling of covariance features. Signal Image Video Process. 16(4): 1027-1034 (2022) - [j19]Osman Berke Güney
A Deep Neural Network for SSVEP-Based Brain-Computer Interfaces. IEEE Trans. Biomed. Eng. 69(2): 932-944 (2022) - [j18]Mikail Erdem
A New Online Nonlinear Self-Interference Cancelation Method With Random Fourier Features. IEEE Wirel. Commun. Lett. 11(7): 1379-1383 (2022) - [c28]Ali Enver Bilecen, Hüseyin Özkan
Object-Centric Video Anomaly Detection with Covariance Features. SIU 2022: 1-4 - [c27]Basarbatu Can, Hüseyin Özkan
Active Learning for Online Nonlinear Neyman-Pearson Classification. SIU 2022: 1-4 - [c26]Yigit Çatak, Kerem Sahin, Osman Berke Güney, Hüseyin Özkan
Deep Convolutional Autoencoder Architecture for Predictive Maintenance Applications. SIU 2022: 1-4 - [c25]Osman Berke Güney, Deniz Küçükahmetler, Pelinsu Çiftçioglu, Giray Coskun, Hüseyin Özkan
Unsupervised Adaptation of DNN for Brain-Computer Interface Spellers. SIU 2022: 1-4 - [c24]Mehmet Yagan, E. Alaattin Yilmaz, Hüseyin Özkan
Anomaly Detection in Surveillance Videos Using Regression With Recurrent Neural Networks. SIU 2022: 1-4 - [i5]Osman Berke Güney, Huseyin Ozkan
Transfer Learning of an Ensemble of DNNs for SSVEP BCI Spellers without User-Specific Training. CoRR abs/2209.01511 (2022) - 2021
- [j17]Huseyin Ozkan
Multimedia traffic classification with mixture of Markov components. Ad Hoc Networks 121: 102608 (2021) - [j16]Mine Kerpicci
Online Anomaly Detection With Bandwidth Optimized Hierarchical Kernel Density Estimators. IEEE Trans. Neural Networks Learn. Syst. 32(9): 4253-4266 (2021) - [j15]Mikail Yilan
Integrated Linear and Nonlinear Digital Cancellation for Full Duplex Communication. IEEE Wirel. Commun. 28(1): 20-27 (2021) - [c23]Osman Berke Güney, Emirhan Koç, Can Aksoy, Yigit Çatak, Suayb S. Arslan, Hüseyin Özkan
Adaptive Boosting of DNN Ensembles for Brain-Computer Interface Spellers. SIU 2021: 1-4 - 2020
- [j14]Basarbatu Can
A Neural Network Approach for Online Nonlinear Neyman-Pearson Classification. IEEE Access 8: 210234-210250 (2020) - [c22]Basarbatu Can, Mine Kerpicci, Huseyin Ozkan
Online Kernel-Based Nonlinear Neyman-Pearson Classification. EUSIPCO 2020: 1618-1622 - [c21]Mikail Yilan
A Residual Scheme for Digital Self-Interference Cancellation in Full Duplex Communication. ICC Workshops 2020: 1-6 - [c20]Basarbatu Can, Hüseyin Özkan
Neyman-Pearson Classification Via Context Trees. SIU 2020: 1-4 - [c19]Bulut Kuskonmaz, Hüseyin Özkan
Smart Steering with Machine Learning for Wireless Mesh Networks. SIU 2020: 1-4 - [c18]Mikail Yilan
Digital Self-interference Cancellation with Support Vector Regression for Full Duplex Communication. SIU 2020: 1-4 - [c17]Mikail Yilan
Nonlinear Digital Self-interference Cancellation with SVR for Full Duplex Communication. WCNC 2020: 1-6 - [i4]Basarbatu Can, Huseyin Ozkan:
A Neural Network Approach for Online Nonlinear Neyman-Pearson Classification. CoRR abs/2006.08001 (2020) - [i3]Osman Berke Güney, Muhtasham Oblokulov, Huseyin Ozkan:
A Deep Neural Network for SSVEP-based Brain Computer Interfaces. CoRR abs/2011.08562 (2020)
2010 – 2019
- 2019
- [j13]Bulut Kuskonmaz, Huseyin Ozkan
Machine learning based smart steering for wireless mesh networks. Ad Hoc Networks 88: 98-111 (2019) - [j12]Mikail Yilan
Nonlinear digital self-interference cancellation for full duplex communication. Phys. Commun. 35 (2019) - [j11]N. Denizcan Vanli, Muhammed O. Sayin
Nonlinear regression via incremental decision trees. Pattern Recognit. 86: 1-13 (2019) - [j10]Mohammadreza Mohaghegh Neyshabouri
Asymptotically Optimal Contextual Bandit Algorithm Using Hierarchical Structures. IEEE Trans. Neural Networks Learn. Syst. 30(3): 923-937 (2019) - [c16]Mine Kerpicci, Suleyman Serdar Kozat, Huseyin Ozkan
Sequential Anomaly Detection Using Nonparametric Density Estimators. SIU 2019: 1-4 - 2018
- [j9]Metin Aktas
Acoustic direction finding using single acoustic vector sensor under high reverberation. Digit. Signal Process. 75: 56-70 (2018) - [j8]Dariush Kari, Ali H. Mirza, Farhan Khan, Huseyin Ozkan
Boosted adaptive filters. Digit. Signal Process. 81: 61-78 (2018) - [j7]Huseyin Ozkan
Efficient NP Tests for Anomaly Detection Over Birth-Death Type DTMCs. J. Signal Process. Syst. 90(2): 175-184 (2018) - 2017
- [j6]Erhan Gundogdu
Extending Correlation Filter-Based Visual Tracking by Tree-Structured Ensemble and Spatial Windowing. IEEE Trans. Image Process. 26(11): 5270-5283 (2017) - 2016
- [j5]Huseyin Ozkan
Online Anomaly Detection Under Markov Statistics With Controllable Type-I Error. IEEE Trans. Signal Process. 64(6): 1435-1445 (2016) - [j4]Huseyin Ozkan
Online Classification via Self-Organizing Space Partitioning. IEEE Trans. Signal Process. 64(15): 3895-3908 (2016) - [c15]Erhan Gundogdu, Huseyin Ozkan
Ensemble Of adaptive correlation filters for robust visual tracking. AVSS 2016: 15-22 - [c14]Osman Fatih Kiliç, N. Denizcan Vanli, Huseyin Ozkan
Adaptive hierarchical space partitioning for online classification. EUSIPCO 2016: 2290-2294 - [c13]Metin Aktas
Directional phased based 3D acoustic enhancement. SIU 2016: 685-688 - [c12]Osman Fatih Kiliç, N. Denizcan Vanli, Huseyin Ozkan
Online adaptive hierarchical space partitioning classifier. SIU 2016: 1237-1240 - 2015
- [j3]Huseyin Ozkan
A Deterministic Analysis of an Online Convex Mixture of Experts Algorithm. IEEE Trans. Neural Networks Learn. Syst. 26(7): 1575-1580 (2015) - [j2]Huseyin Ozkan
Data Imputation Through the Identification of Local Anomalies. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2381-2395 (2015) - [c11]N. Denizcan Vanli, Huseyin Ozkan
Online Nonlinear Classification for High-Dimensional Data. BigData Congress 2015: 685-688 - [c10]Erhan Gundogdu, Huseyin Ozkan
Comparison of infrared and visible imagery for object tracking: Toward trackers with superior IR performance. CVPR Workshops 2015: 1-9 - [c9]Metin Aktas
Acoustic direction finding in highly reverberant environment with single acoustic vector sensor. EUSIPCO 2015: 2301-2305 - [c8]Huseyin Ozkan
Online anomaly detection with constant false alarm rate. MLSP 2015: 1-6 - [c7]Metin Aktas
Acoustic direction finding under high reverberation. SIU 2015: 1533-1536 - 2014
- [j1]Huseyin Ozkan
A novel and robust parameter training approach for HMMs under noisy and partial access to states. Signal Process. 94: 490-497 (2014) - [i2]Huseyin Ozkan, Ozgun S. Pelvan, Suleyman Serdar Kozat:
Data Imputation through the Identification of Local Anomalies. CoRR abs/1409.8576 (2014) - 2013
- [c6]Huseyin Ozkan
Competitive and online piecewise linear classification. ICASSP 2013: 3452-3456 - 2012
- [c5]Huseyin Ozkan
A novel training method for PHMMs. CIP 2012: 1-5 - [c4]Mehmet A. Donmez, Huseyin Ozkan
Transient analysis of convexly constrained mixture methods. MLSP 2012: 1-5 - [c3]Huseyin Ozkan
Hidden Markov Model training with side information. SIU 2012: 1-4 - [c2]Huseyin Ozkan
A novel and incremental classification algorithm. SIU 2012: 1-4 - [i1]Huseyin Ozkan, Arda Akman, Suleyman Serdar Kozat:
A Novel Training Algorithm for HMMs with Partial and Noisy Access to the States. CoRR abs/1203.4597 (2012) - 2011
- [c1]Fatih Porikli, Huseyin Ozkan
Data driven frequency mapping for computationally scalable object detection. AVSS 2011: 30-35
Coauthor Index
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