| A polynomial fitting and k-NN based approach for improving classification of motor imagery BCI data T Kayikcioglu, O Aydemir Pattern Recognition Letters 31 (11), 1207-1215, 2010 | 145 | 2010 |
| Decision tree structure based classification of EEG signals recorded during two dimensional cursor movement imagery O Aydemir, T Kayikcioglu Journal of neuroscience methods 229, 68-75, 2014 | 85 | 2014 |
| Statistical and machine learning techniques in human microbiome studies: contemporary challenges and solutions I Moreno-Indias, L Lahti, M Nedyalkova, I Elbere, G Roshchupkin, ... Frontiers in microbiology 12, 635781, 2021 | 57 | 2021 |
| Olfactory recognition based on EEG gamma-band activity O Aydemir Neural computation 29 (6), 1667-1680, 2017 | 53 | 2017 |
| Wavelet transform based classification of invasive brain computer interface data O Aydemir, T Kayikcioglu Radioengineering 20 (1), 31-38, 2011 | 50 | 2011 |
| EEG tabanlı beyin bilgisayar arayüzleri Ö Aydemir, T Kayıkçıoğlu Akademik Bilişim 9, 11-13, 2009 | 48* | 2009 |
| A New Performance Evaluation Metric for Classifiers: Polygon Area Metric O Aydemir Journal of Classification 38 (1), 16-26, 2021 | 33 | 2021 |
| A High performance electronic nose system for the recognition of myocardial infarction and coronary artery diseases BH Tozlu, C Şimşek, O Aydemir, Y Karavelioglu Biomedical Signal Processing and Control 64, 102247, 2021 | 32 | 2021 |
| Classifying various EMG and EOG artifacts in EEG signals O Aydemir, S Pourzare, T Kayikcioglu Przegląd Elektrotechniczny 88 (11a), 218-222, 2012 | 31 | 2012 |
| A robust and subject-specific sequential forward search method for effective channel selection in brain computer interfaces O Aydemir, E Ergün Journal of neuroscience methods 313, 60-67, 2019 | 29 | 2019 |
| Common spatial pattern-based feature extraction from the best time segment of BCI data Ö AYDEMİR Turkish Journal of electrical engineering and computer sciences 24 (5), 3976 …, 2016 | 25 | 2016 |
| Classification of EEG signals recorded during right/left hand movement imagery using Fast Walsh Hadamard Transform based features K Saka, Ö Aydemir, M Öztürk 2016 39th International Conference on Telecommunications and Signal …, 2016 | 23 | 2016 |
| Comparing common machine learning classifiers in low-dimensional feature vectors for brain computer interface applications O Aydemir, T Kayikcioglu International Journal of Innovative Computing, Information and Control 9 (3 …, 2013 | 21 | 2013 |
| Olfaction recognition by EEG analysis using wavelet transform features E Yavuz, Ö Aydemir 2016 International Symposium on INnovations in Intelligent SysTems and …, 2016 | 20 | 2016 |
| Investigation of the most appropriate mother wavelet for characterizing imaginary EEG signals used in BCI systems Ö AYDEMİR, T KAYIKÇIOĞLU Turkish Journal of Electrical Engineering and Computer Sciences 24 (1), 38-49, 2016 | 20 | 2016 |
| An efficient 3D column-only P300 speller paradigm utilizing few numbers of electrodes and flashings for practical BCI implementation OE Korkmaz, O Aydemir, EA Oral, IY Ozbek PloS one 17 (4), e0265904, 2022 | 14 | 2022 |
| A new evolutionary preprocessing approach for classification of mental arithmetic based EEG signals E Ergün, O Aydemir Cognitive Neurodynamics 14, 609–617, 2020 | 14 | 2020 |
| Decoding of binary mental arithmetic based near-infrared spectroscopy signals E Ergün, Ö Aydemir 2018 3rd International Conference on Computer Science and Engineering (UBMK …, 2018 | 14 | 2018 |
| Performance evaluation of five classification algorithms in low-dimensional feature vectors extracted from EEG signals O Aydemir, M Ozturk, T Kayikcioglu 2011 34th International Conference on Telecommunications and Signal …, 2011 | 12 | 2011 |
| Classification of EEG based BCI signals imagined hand closing and opening E Yavuz, Ö Aydemir 2017 40th International Conference on Telecommunications and Signal …, 2017 | 11 | 2017 |
