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ORCIDOzlem Karabiber Cura
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- affiliation: Izmir Katip Celebi University, Izmir, Turkey
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2020 – today
- 2024
[c13]Sena Yagmur Sen, Aydin Akan, Ozlem Karabiber Cura:
Alzheimer's Dementia Detection: An Optimized Approach Using ITD of EEG Signals. EUSIPCO 2024: 1377-1381- [c12]Sude Pehlivan Akbugday, Ozlem Karabiber Cura, Burak Akbugday, Aydin Akan:
Detection of Alzheimer's Dementia by Using EEG Feature Maps and Deep Learning. EUSIPCO 2024: 1397-1401 - 2023
- [j6]Ozlem Karabiber Cura
, Sibel Kocaaslan Atli, Aydin Akan:
Attention deficit hyperactivity disorder recognition based on intrinsic time-scale decomposition of EEG signals. Biomed. Signal Process. Control. 81: 104512 (2023) - [j5]Ozlem Karabiber Cura, Aydin Akan, Hatice Sabiha Türe:
Classification of Epileptic and Psychogenic Nonepileptic Seizures via Time-Frequency Features of EEG Data. Int. J. Neural Syst. 33(9): 2350045:1-2350045:17 (2023) - [c11]Sena Yagmur Sen, Ozlem Karabiber Cura, Aydin Akan:
Detection of Alzheimer's Dementia Using Intrinsic Time Scale Decomposition of EEG Signals and Deep Learning. CoDIT 2023: 93-98 - [c10]Ozlem Karabiber Cura, Sibel Kocaaslan Atli, Sena Yagmur Sen, Aydin Akan:
Classification of ADHD by Using Multiple Feature Maps of EEG Signals and Deep Feature Extraction. EUSIPCO 2023: 1065-1069 - [c9]Burak Akbugday, Ozge Ada Bozbas, Ozlem Karabiber Cura, Sude Pehlivan, Aydin Akan:
Detection of Attention Deficit Hyperactivity Disorder by Using EEG Feature Maps and Deep Learning. EUSIPCO 2023: 1105-1109 - [c8]Sude Pehlivan, Onur Akdemir, Ozlem Karabiber Cura, Burak Akbugday, Aydin Akan:
Combinations of EEG Topographic Feature Maps for the Classification of ADHD. EUSIPCO 2023: 1195-1199 - 2022
- [j4]Ozlem Karabiber Cura, Aydin Akan, Gülce Cosku Yilmaz, Hatice Sabiha Türe:
Detection of Alzheimer's Dementia by Using Signal Decomposition and Machine Learning Methods. Int. J. Neural Syst. 32(9): 2250042:1-2250042:16 (2022) - [c7]Ozlem Karabiber Cura, Gülce Cosku Yilmaz, Hatice Sabiha Türe, Aydin Akan:
Classification of Dementia EEG Based on Sub-bands Using Time-Frequency Approaches. SIU 2022: 1-4 - 2021
- [j3]Aydin Akan, Ozlem Karabiber Cura:
Time-frequency signal processing: Today and future. Digit. Signal Process. 119: 103216 (2021) - [j2]Ozlem Karabiber Cura, Aydin Akan:
Classification of Epileptic EEG Signals Using Synchrosqueezing Transform and Machine Learning. Int. J. Neural Syst. 31(5): 2150005:1-2150005:17 (2021) - [j1]Mehmet Akif Ozdemir, Ozlem Karabiber Cura, Aydin Akan:
Epileptic EEG Classification by Using Time-Frequency Images for Deep Learning. Int. J. Neural Syst. 31(8): 2150026:1-2150026:16 (2021) - [c6]Ozlem Karabiber Cura, Gülce Cosku Yilmaz, Hatice Sabiha Türe, Aydin Akan:
Classification of Psychogenic Non-epileptic Seizures Using Synchrosqueezing Transform of EEG Signals. EUSIPCO 2021: 1172-1176 - 2020
- [c5]Ozlem Karabiber Cura, Mehmet Akif Ozdemir, Sude Pehlivan, Aydin Akan:
A Dynamic Mode Decomposition Based Approach for Epileptic EEG Classification. EUSIPCO 2020: 1070-1074 - [c4]Ozlem Karabiber Cura, Mehmet Akif Ozdemir, Aydin Akan:
Epileptic EEG Classification Using Synchrosqueezing Transform with Machine and Deep Learning Techniques. EUSIPCO 2020: 1210-1214 - [c3]Özlem Karabiber Cura, Sude Pehlivan, Aydin Akan:
Classification of Epileptic EEG Signals Using Dynamic Mode Decomposition. SIU 2020: 1-4
2010 – 2019
- 2018
- [c2]Ozlem Karabiber Cura, Sibel Kocaaslan Atli, Reza Sadighzadeh, Aydin Akan:
Classification of epileptic EEG data by using ensemble empirical mode decomposition. SIU 2018: 1-4 - 2017
- [c1]Ebru Sayilgan, Ozlem Karabiber Cura, Yalçin Isler:
Use of clustering algorithms and extreme learning machine in determining arrhythmia types. SIU 2017: 1-4
Coauthor Index
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last updated on 2024-11-07 21:32 CET by the dblp team
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