1D convolutional neural networks and applications: A survey S Kiranyaz, O Avci, O Abdeljaber, T Ince, M Gabbouj, DJ Inman Mechanical systems and signal processing 151, 107398, 2021 | 2102 | 2021 |
Real-time patient-specific ECG classification by 1-D convolutional neural networks S Kiranyaz, T Ince, M Gabbouj IEEE transactions on biomedical engineering 63 (3), 664-675, 2015 | 1860 | 2015 |
Real-time motor fault detection by 1-D convolutional neural networks T Ince, S Kiranyaz, L Eren, M Askar, M Gabbouj IEEE Transactions on Industrial Electronics 63 (11), 7067-7075, 2016 | 1348 | 2016 |
A generic intelligent bearing fault diagnosis system using compact adaptive 1D CNN classifier L Eren, T Ince, S Kiranyaz Journal of Signal Processing Systems 91 (2), 179-189, 2019 | 630 | 2019 |
A generic and robust system for automated patient-specific classification of ECG signals T Ince, S Kiranyaz, M Gabbouj IEEE Transactions on Biomedical Engineering 56 (5), 1415-1426, 2009 | 596 | 2009 |
Convolutional neural networks for patient-specific ECG classification S Kiranyaz, T Ince, R Hamila, M Gabbouj 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 351 | 2015 |
Evolutionary artificial neural networks by multi-dimensional particle swarm optimization S Kiranyaz, T Ince, A Yildirim, M Gabbouj Neural networks 22 (10), 1448-1462, 2009 | 336 | 2009 |
1-D convolutional neural networks for signal processing applications S Kiranyaz, T Ince, O Abdeljaber, O Avci, M Gabbouj ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 304 | 2019 |
Atmospheric disturbances that generate intermittent turbulence in nocturnal boundary layers J Sun, DH Lenschow, SP Burns, RM Banta, RK Newsom, R Coulter, ... Boundary-layer meteorology 110, 255-279, 2004 | 234 | 2004 |
Intermittent turbulence associated with a density current passage in the stable boundary layer J Sun, SP Burns, DH Lenschow, R Banta, R Newsom, R Coulter, S Frasier, ... Boundary-Layer Meteorology 105, 199-219, 2002 | 212 | 2002 |
Multidimensional particle swarm optimization for machine learning and pattern recognition S Kiranyaz, T Ince, M Gabbouj Springer, 2014 | 210 | 2014 |
Fractional particle swarm optimization in multidimensional search space S Kiranyaz, T Ince, A Yildirim, M Gabbouj IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 40 …, 2009 | 165 | 2009 |
Analysis of high-dimensional phase space via Poincaré section for patient-specific seizure detection M Zabihi, S Kiranyaz, AB Rad, AK Katsaggelos, M Gabbouj, T Ince IEEE Transactions on Neural Systems and Rehabilitation Engineering 24 (3 …, 2015 | 150 | 2015 |
Personalized monitoring and advance warning system for cardiac arrhythmias S Kiranyaz, T Ince, M Gabbouj Scientific reports 7 (1), 9270, 2017 | 133 | 2017 |
Operational neural networks S Kiranyaz, T Ince, A Iosifidis, M Gabbouj Neural Computing and Applications 32 (11), 6645-6668, 2020 | 99 | 2020 |
Automated patient-specific classification of long-term electroencephalography S Kiranyaz, T Ince, M Zabihi, D Ince Journal of biomedical informatics 49, 16-31, 2014 | 90 | 2014 |
Self-organized operational neural networks with generative neurons S Kiranyaz, J Malik, HB Abdallah, T Ince, A Iosifidis, M Gabbouj Neural Networks 140, 294-308, 2021 | 85 | 2021 |
Early forest fire detection using radio-acoustic sounding system YG Sahin, T Ince Sensors 9 (3), 1485-1498, 2009 | 84 | 2009 |
Personalized long-term ECG classification: A systematic approach S Kiranyaz, T Ince, J Pulkkinen, M Gabbouj Expert Systems with Applications 38 (4), 3220-3226, 2011 | 76 | 2011 |
Robust R-peak detection in low-quality holter ECGs using 1D convolutional neural network MU Zahid, S Kiranyaz, T Ince, OC Devecioglu, MEH Chowdhury, ... IEEE Transactions on Biomedical Engineering 69 (1), 119-128, 2021 | 69 | 2021 |