Huseyin Ozkan

Orcid: 0000-0002-5539-9085

According to our database1, Huseyin Ozkan authored at least 57 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A new benchmark dataset for P300 ERP-based BCI applications.
Digit. Signal Process., April, 2023

ADRMX: Additive Disentanglement of Domain Features with Remix Loss.
CoRR, 2023

Source Free Domain Adaptation of a DNN for SSVEP-based Brain-Computer Interfaces.
CoRR, 2023

DECOMPL: Decompositional Learning with Attention Pooling for Group Activity Recognition from a Single Volleyball Image.
CoRR, 2023

A Hierarchical Approach for Improved Anomaly Detection in Video Surveillance.
IEEE Access, 2023

Anomaly Detection with False Alarm Rate Controllable Classifiers.
Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

Online Improvement of CCA Performance in BCI Spellers.
Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

2022
A New Online Nonlinear Self-Interference Cancelation Method With Random Fourier Features.
IEEE Wirel. Commun. Lett., 2022

A Deep Neural Network for SSVEP-Based Brain-Computer Interfaces.
IEEE Trans. Biomed. Eng., 2022

Video anomaly detection with autoregressive modeling of covariance features.
Signal Image Video Process., 2022

Transfer Learning of an Ensemble of DNNs for SSVEP BCI Spellers without User-Specific Training.
CoRR, 2022

Anomaly Detection in Surveillance Videos Using Regression With Recurrent Neural Networks.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Unsupervised Adaptation of DNN for Brain-Computer Interface Spellers.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Deep Convolutional Autoencoder Architecture for Predictive Maintenance Applications.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Active Learning for Online Nonlinear Neyman-Pearson Classification.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Object-Centric Video Anomaly Detection with Covariance Features.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

2021
Integrated Linear and Nonlinear Digital Cancellation for Full Duplex Communication.
IEEE Wirel. Commun., 2021

Online Anomaly Detection With Bandwidth Optimized Hierarchical Kernel Density Estimators.
IEEE Trans. Neural Networks Learn. Syst., 2021

Multimedia traffic classification with mixture of Markov components.
Ad Hoc Networks, 2021

Adaptive Boosting of DNN Ensembles for Brain-Computer Interface Spellers.
Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021

2020
A Neural Network Approach for Online Nonlinear Neyman-Pearson Classification.
IEEE Access, 2020

Nonlinear Digital Self-interference Cancellation with SVR for Full Duplex Communication.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Digital Self-interference Cancellation with Support Vector Regression for Full Duplex Communication.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

Smart Steering with Machine Learning for Wireless Mesh Networks.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

Neyman-Pearson Classification Via Context Trees.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

A Residual Scheme for Digital Self-Interference Cancellation in Full Duplex Communication.
Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

Online Kernel-Based Nonlinear Neyman-Pearson Classification.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Asymptotically Optimal Contextual Bandit Algorithm Using Hierarchical Structures.
IEEE Trans. Neural Networks Learn. Syst., 2019

Nonlinear regression via incremental decision trees.
Pattern Recognit., 2019

Nonlinear digital self-interference cancellation for full duplex communication.
Phys. Commun., 2019

Machine learning based smart steering for wireless mesh networks.
Ad Hoc Networks, 2019

Sequential Anomaly Detection Using Nonparametric Density Estimators.
Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019

2018
Efficient NP Tests for Anomaly Detection Over Birth-Death Type DTMCs.
J. Signal Process. Syst., 2018

Boosted adaptive filters.
Digit. Signal Process., 2018

Acoustic direction finding using single acoustic vector sensor under high reverberation.
Digit. Signal Process., 2018

2017
Extending Correlation Filter-Based Visual Tracking by Tree-Structured Ensemble and Spatial Windowing.
IEEE Trans. Image Process., 2017

2016
Online Classification via Self-Organizing Space Partitioning.
IEEE Trans. Signal Process., 2016

Online Anomaly Detection Under Markov Statistics With Controllable Type-I Error.
IEEE Trans. Signal Process., 2016

Online adaptive hierarchical space partitioning classifier.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Directional phased based 3D acoustic enhancement.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Adaptive hierarchical space partitioning for online classification.
Proceedings of the 24th European Signal Processing Conference, 2016

Ensemble Of adaptive correlation filters for robust visual tracking.
Proceedings of the 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2016

2015
Data Imputation Through the Identification of Local Anomalies.
IEEE Trans. Neural Networks Learn. Syst., 2015

A Deterministic Analysis of an Online Convex Mixture of Experts Algorithm.
IEEE Trans. Neural Networks Learn. Syst., 2015

Acoustic direction finding under high reverberation.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Online anomaly detection with constant false alarm rate.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Acoustic direction finding in highly reverberant environment with single acoustic vector sensor.
Proceedings of the 23rd European Signal Processing Conference, 2015

Comparison of infrared and visible imagery for object tracking: Toward trackers with superior IR performance.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

Online Nonlinear Classification for High-Dimensional Data.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

2014
A novel and robust parameter training approach for HMMs under noisy and partial access to states.
Signal Process., 2014

2013
Competitive and online piecewise linear classification.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
A Novel Training Algorithm for HMMs with Partial and Noisy Access to the States
CoRR, 2012

A novel and incremental classification algorithm.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Hidden Markov Model training with side information.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Transient analysis of convexly constrained mixture methods.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

A novel training method for PHMMs.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

2011
Data driven frequency mapping for computationally scalable object detection.
Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011


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