Serkan Kiranyaz
Cited by
Cited by
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
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
Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks
O Abdeljaber, O Avci, S Kiranyaz, M Gabbouj, DJ Inman
Journal of Sound and Vibration 388, 154-170, 2017
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
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
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
1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data
O Abdeljaber, O Avci, S Kiranyaz, B Boashash, H Sodano, D J. Inman
Neurocomputing 275 (1), 1308-1317, 2018
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
Integrating color features in polarimetric SAR image classification
S Uhlmann, S Kiranyaz
IEEE Transactions on Geoscience and Remote Sensing 52 (4), 2197-2216, 2013
Multidimensional particle swarm optimization for machine learning and pattern recognition
S Kiranyaz, T Ince, M Gabbouj
Springer, 2014
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
Heart sound anomaly and quality detection using ensemble of neural networks without segmentation
M Zabihi, AB Rad, S Kiranyaz, M Gabbouj, AK Katsaggelos
2016 Computing in Cardiology Conference (CinC), 613-616, 2016
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
Can dissimilarity lead to positive outcomes? The influence of open versus closed minds
P Chattopadhyay
Journal of Organizational Behavior: The International Journal of Industrial…, 2003
The 2nd competition on counter measures to 2D face spoofing attacks
I Chingovska, J Yang, Z Lei, D Yi, SZ Li, O Kahm, C Glaser, N Damer, ...
2013 International Conference on Biometrics (ICB), 1-6, 2013
Methods and Applications
L Deng, DYD Learning
Foundations and Trends in Signal Processing 7 (3-4), 197-387, 2014
A generic audio classification and segmentation approach for multimedia indexing and retrieval
S Kiranyaz, AF Qureshi, M Gabbouj
IEEE Transactions on Audio, Speech, and Language Processing 14 (3), 1062-1081, 2006
Emergent properties of microbial activity in heterogeneous soil microenvironments: different research approaches are slowly converging, yet major challenges remain
PC Baveye, W Otten, A Kravchenko, M Balseiro-Romero, Beckers, ...
Frontiers in Microbiology 9, 1929, 2018
Detection of atrial fibrillation in ECG hand-held devices using a random forest classifier
M Zabihi, AB Rad, AK Katsaggelos, S Kiranyaz, S Narkilahti, M Gabbouj
2017 Computing in Cardiology (CinC), 1-4, 2017
Multi-dimensional particle swarm optimization in dynamic environments
S Kiranyaz, J Pulkkinen, M Gabbouj
Expert Systems with Applications 38 (3), 2212-2223, 2011
The system can't perform the operation now. Try again later.
Articles 1–20