A polynomial fitting and k-NN based approach for improving classification of motor imagery BCI data. - Temel Kayikçioglu; Onder Aydemir (Pattern Recognit. Lett., 2010)

Performance evaluation of five classification algorithms in low-dimensional feature vectors extracted from EEG signals. - Onder Aydemir; Mehmet Öztürk; Temel Kayikçioglu (TSP, 2011)

Classification of EEG signals recorded during in facial movements for human-machine interaction. - Shahin Pourzare; Onder Aydemir; Temel Kayikçioglu (SIU, 2012)

Classification of various facial movement artifacts in EEG signals. - Shahin Pourzare; Onder Aydemir; Temel Kayikçioglu (TSP, 2012)

Letter to the Editor: Regarding ''Performance evaluation of multiple classifications of the ultrasonic supraspinatus images by using ML, RBFNN and SVM classifiers''. - Onder Aydemir (Expert Syst. Appl., 2012)

Deciding the appropriate Mother Wavelet for extract features from brain computer interface signals. - Onder Aydemir; Temel Kayikçioglu (SIU, 2013)

A new method for selection optimum k value in k-NN classification algorithm. - Masoud Maleki; Kübra Eroglu; Onder Aydemir; Negin Manshoori; Temel Kayikçioglu (SIU, 2013)

Classification of electroencephalogram signals based on cursor movement imagery. - Onder Aydemir; Temel Kayikçioglu (SIU, 2014)

Improving classification accuracy of EEG based brain computer interface signals. - Onder Aydemir (SIU, 2015)

Improving the effectiveness of common spatial pattern features at brain computer interface applications. - Onder Aydemir (SIU, 2015)

Detection of highly motivated time segments of motor imagery brain computer interface signals. - Onder Aydemir (SIU, 2015)

Olfaction recognition by EEG analysis using wavelet transform features. - Ebru Yavuz; Onder Aydemir (INISTA, 2016)

Classification of electroencephalography signals recorded during smelling. - Onder Aydemir (SIU, 2016)

Classification of 2-dimensional cursor movement imagery EEG signals. - Onder Aydemir (TSP, 2016)

Classification of electroencephalography signals recorded during smelling of valerian and rosewater odors. - Onder Aydemir (TSP, 2016)

Classification of EEG signals recorded during right/left hand movement imagery using Fast Walsh Hadamard Transform based features. - Kubra Saka; Onder Aydemir; Mehmet Öztürk (TSP, 2016)

Estimation of Sleep Quality by Using Microstructure Profiles. - Zuzana Rost'áková; Georg Dorffner; Önder Aydemir; Roman Rosipal (AIME, 2017)

Detection of smoking, gender and starvation - satiety using photoplethysmogram signals. - Onur Erdem Korkmaz; Onder Aydemir; Mehmet Öztürk (SIU, 2017)

Random forest classification for brain computer interface applications. - Hatice Okumus; Onder Aydemir (SIU, 2017)

Determination of effective channels in brain-computer interface applications. - Ebru Yavuz; Onder Aydemir (SIU, 2017)

Combining sub-band power features extracted from different time segments of EEG trials. - Onder Aydemir (TSP, 2017)

A fast and highly accurate EMG signal classification approach for multifunctional prosthetic fingers control. - Selin Aydin Fandakli; Onder Aydemir (TSP, 2017)

Classification of EEG based BCI signals imagined hand closing and opening. - Ebru Yavuz; Onder Aydemir (TSP, 2017)

Olfactory Recognition Based on EEG Gamma-Band Activity. - Onder Aydemir (Neural Comput., 2017)

Classification of electroencephalography signals recorded during olfaction of some spices. - Hilal Altun; Ebru Ergün; Onder Aydemir (SIU, 2018)

Classification of motor imaginary based Near-Infrared spectroscopy signals. - Ebru Ergün; Onder Aydemir (SIU, 2018)

Classification of wrist movements in different directions based on MEG signals. - Bahar Hatipoglu; Cagatay Murat Yilmaz; Cemal Köse; Onder Aydemir (SIU, 2018)

Classification of EEG Signals Recorded While Imagining Odors with Effective Band Pass Filter Parameters. - Önder Aydemir; Amir Naser; Mehmet Öztürk (SIU, 2020)

Classification of Mental Arithmetic Based Hybrid EEG+NIRS Signals. - Ebru Yavuz; Önder Aydemir (SIU, 2020)

Odor and Subject Identification Using Electroencephalography Reaction to Olfactory. - Onder Aydemir (Traitement du Signal, 2020)

Gender Recognition from PPG Signals of People with Different Blood Pressure. - Tugba Aydemir; Mehmet Sahin; Önder Aydemir (SIU, 2021)

A High performance electronic nose system for the recognition of myocardial infarction and coronary artery diseases. - Bilge Han Tozlu; Cemaleddin Simsek; Onder Aydemir; Yusuf Karavelioglu (Biomed. Signal Process. Control., 2021)

A New Performance Evaluation Metric for Classifiers: Polygon Area Metric. - Onder Aydemir (J. Classif., 2021)

Investigating the Effect of COVID-19 Infection on P300 Based BCI Application Performance. - Onur Erdem Korkmaz; Onder Aydemir; Emin Argun Oral; Ibrahim Yucel Ozbek (Traitement du Signal, 2021)

A Hybrid BCI Using Singular Value Decomposition Values of the Fast Walsh-Hadamard Transform Coefficients. - Ebru Ergün; Onder Aydemir (IEEE Trans. Cogn. Dev. Syst., 2023)

Classification of pleasant and unpleasant odor imagery EEG signals. - Amir Naser; Onder Aydemir (Neural Comput. Appl., 2023)

A novel probabilistic and 3D column P300 stimulus presentation paradigm for EEG-based spelling systems. - Onur Erdem Korkmaz; Onder Aydemir; Emin Argun Oral; Ibrahim Yucel Ozbek (Neural Comput. Appl., 2023)

High Accuracy Detection of S and T Peaks in ECG Signals. - Fatih Aydin; Sefer Usta; Mehmet Öztürk; Özge Aydogdu; Ezgi KalaycioGLu; Önder Aydemir (SIU, 2024)

Enhancing EEG Signal Classification With a Novel Random Subset Channel Selection Approach: Applications in Taste, Odor, and Motor Imagery Analysis. - Amir Naser; Önder Aydemir (IEEE Access, 2024)

Detection of multitask mental workload using gamma band power features. - Onur Erdem Korkmaz; Sevde Gül Korkmaz; Onder Aydemir (Neural Comput. Appl., 2024)