Ozlem Karabiber Cura

According to our database, Ozlem Karabiber Cura authored at least 17 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2023

Classification of Epileptic and Psychogenic Nonepileptic Seizures via Time-Frequency Features of EEG Data.

Ozlem Karabiber Cura, Aydin Akan, Hatice Sabiha Türe

Int. J. Neural Syst., September, 2023

Attention deficit hyperactivity disorder recognition based on intrinsic time-scale decomposition of EEG signals.

Ozlem Karabiber Cura, Sibel Kocaaslan Atli, Aydin Akan

Biomed. Signal Process. Control., March, 2023

Combinations of EEG Topographic Feature Maps for the Classification of ADHD.

Sude Pehlivan, Onur Akdemir, Ozlem Karabiber Cura, Burak Akbugday, Aydin Akan

Proceedings of the 31st European Signal Processing Conference, 2023

Classification of ADHD by Using Multiple Feature Maps of EEG Signals and Deep Feature Extraction.

Ozlem Karabiber Cura, Sibel Kocaaslan Atli, Sena Yagmur Sen, Aydin Akan

Proceedings of the 31st European Signal Processing Conference, 2023

Detection of Attention Deficit Hyperactivity Disorder by Using EEG Feature Maps and Deep Learning.

Burak Akbugday, Ozge Ada Bozbas, Ozlem Karabiber Cura, Sude Pehlivan, Aydin Akan

Proceedings of the 31st European Signal Processing Conference, 2023

Detection of Alzheimer's Dementia Using Intrinsic Time Scale Decomposition of EEG Signals and Deep Learning.

Sena Yagmur Sen, Ozlem Karabiber Cura, Aydin Akan

Proceedings of the 9th International Conference on Control, 2023

2022

Detection of Alzheimer's Dementia by Using Signal Decomposition and Machine Learning Methods.

Ozlem Karabiber Cura, Aydin Akan, Gülce Cosku Yilmaz, Hatice Sabiha Türe

Int. J. Neural Syst., 2022

Classification of Dementia EEG Based on Sub-bands Using Time-Frequency Approaches.

Ozlem Karabiber Cura, Gülce Cosku Yilmaz, Hatice Sabiha Türe, Aydin Akan

Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

2021

Epileptic EEG Classification by Using Time-Frequency Images for Deep Learning.

Mehmet Akif Ozdemir, Ozlem Karabiber Cura, Aydin Akan

Int. J. Neural Syst., 2021

Classification of Epileptic EEG Signals Using Synchrosqueezing Transform and Machine Learning.

Ozlem Karabiber Cura, Aydin Akan

Int. J. Neural Syst., 2021

Time-frequency signal processing: Today and future.

Aydin Akan, Ozlem Karabiber Cura

Digit. Signal Process., 2021

Classification of Psychogenic Non-epileptic Seizures Using Synchrosqueezing Transform of EEG Signals.

Ozlem Karabiber Cura, Gülce Cosku Yilmaz, Hatice Sabiha Türe, Aydin Akan

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Classification of Epileptic EEG Signals Using Dynamic Mode Decomposition.

Özlem Karabiber Cura, Sude Pehlivan, Aydin Akan

Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

A Dynamic Mode Decomposition Based Approach for Epileptic EEG Classification.

Ozlem Karabiber Cura, Mehmet Akif Ozdemir, Sude Pehlivan, Aydin Akan

Proceedings of the 28th European Signal Processing Conference, 2020

Epileptic EEG Classification Using Synchrosqueezing Transform with Machine and Deep Learning Techniques.

Ozlem Karabiber Cura, Mehmet Akif Ozdemir, Aydin Akan

Proceedings of the 28th European Signal Processing Conference, 2020

2018

Classification of epileptic EEG data by using ensemble empirical mode decomposition.

Ozlem Karabiber Cura, Sibel Kocaaslan Atli, Reza Sadighzadeh, Aydin Akan

Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

2017

Use of clustering algorithms and extreme learning machine in determining arrhythmia types.

Ebru Sayilgan, Ozlem Karabiber Cura, Yalçin Isler

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017