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 | 148 | 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 | 90 | 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 | 71 | 2021 |
Olfactory recognition based on EEG gamma-band activity O Aydemir Neural computation 29 (6), 1667-1680, 2017 | 61 | 2017 |
EEG tabanlı beyin bilgisayar arayüzleri Ö Aydemir, T Kayıkçıoğlu Akademik Bilişim 9, 11-13, 2009 | 54* | 2009 |
Wavelet transform based classification of invasive brain computer interface data O Aydemir, T Kayikcioglu Radioengineering 20 (1), 31-38, 2011 | 50 | 2011 |
A New Performance Evaluation Metric for Classifiers: Polygon Area Metric O Aydemir Journal of Classification 38 (1), 16-26, 2021 | 43 | 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 | 40 | 2021 |
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 | 34 | 2019 |
Classifying various EMG and EOG artifacts in EEG signals O Aydemir, S Pourzare, T Kayikcioglu Przegląd Elektrotechniczny 88 (11a), 218-222, 2012 | 32 | 2012 |
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 | 26 | 2016 |
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 | 26 | 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 | 24 | 2013 |
Olfaction recognition by EEG analysis using wavelet transform features E Yavuz, Ö Aydemir 2016 International Symposium on INnovations in Intelligent SysTems and …, 2016 | 23 | 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 |
A new evolutionary preprocessing approach for classification of mental arithmetic based EEG signals E Ergün, O Aydemir Cognitive Neurodynamics 14, 609–617, 2020 | 19 | 2020 |
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 | 17 | 2022 |
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 | 15 | 2018 |
A hybrid BCI using singular value decomposition values of the fast walsh hadamard transform coefficients E Ergün, Ö Aydemir IEEE Transactions on Cognitive and Developmental Systems 15 (2), 454-463, 2023 | 14 | 2023 |
Determination of hypertension disease using chirp z-transform and statistical features of optimal band-pass filtered short-time photoplethysmography signals T Aydemir, M Sahin, O Aydemir Biomedical Physics & Engineering Express 6 (065033), 1-7, 2020 | 13 | 2020 |