Browsing by Author "Kiranyaz, Mustafa Serkan"
Now showing items 21-40 of 57
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Exploiting heterogeneity in operational neural networks by synaptic plasticity
Kiranyaz, Mustafa Serkan; Malik J.; Abdallah H.B.; Ince T.; Iosifidis A.; Gabbouj M.... more authors ... less authors ( Springer Science and Business Media Deutschland GmbH , 2021 , Article)The recently proposed network model, Operational Neural Networks (ONNs), can generalize the conventional Convolutional Neural Networks (CNNs) that are homogenous only with a linear neuron model. As a heterogenous network ... -
Face segmentation in thumbnail images by data-adaptive convolutional segmentation networks
Kiranyaz, Mustafa Serkan; Waris M.-A.; Ahmad I.; Hamila R.; Gabbouj M. ( IEEE Computer Society , 2016 , Conference Paper)In this study we address the problem of face segmentation in thumbnail images. While there have been several approaches for face detection, none performs detection in such low resolution and segmentation with pixel accuracy. ... -
Generalized Operational Classifiers for Material Identification
Jiang X.; Wang D.; Tran D.T.; Kiranyaz, Mustafa Serkan; Gabbouj M.; Feng X.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Material is one of the intrinsic features of objects, and consequently material recognition plays an important role in image understanding. The same material may have various shapes and appearance, while keeping the same ... -
Heterogeneous Multilayer Generalized Operational Perceptron
Tran D.T.; Kiranyaz, Mustafa Serkan; Gabbouj M.; Iosifidis A. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)The traditional multilayer perceptron (MLP) using a McCulloch-Pitts neuron model is inherently limited to a set of neuronal activities, i.e., linear weighted sum followed by nonlinear thresholding step. Previously, generalized ... -
Human experts vs. machines in taxa recognition
Arje J.; Raitoharju J.; Iosifidis A.; Tirronen V.; Meissner K.; Gabbouj M.; Kiranyaz, Mustafa Serkan; Karkkainen S.... more authors ... less authors ( Elsevier B.V. , 2020 , Article)The step of expert taxa recognition currently slows down the response time of many bioassessments. Shifting to quicker and cheaper state-of-the-art machine learning approaches is still met with expert scepticism towards ... -
K-Subspaces Quantization for Approximate Nearest Neighbor Search
Ozan E.C.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( IEEE Computer Society , 2016 , Article)Approximate Nearest Neighbor (ANN) search has become a popular approach for performing fast and efficient retrieval on very large-scale datasets in recent years, as the size and dimension of data grow continuously. In this ... -
Learned vs. hand-designed features for ECG beat classification: A comprehensive study
Ince T.; Zabihi M.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( Springer Verlag , 2017 , Conference Paper)In this study, in order to find out the best ECG classification performance we realized comparative evaluations among the state-of-the-art classifiers such as Convolutional Neural Networks (CNNs), multi-layer perceptrons ... -
Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection
Kiranyaz, Mustafa Serkan; Degerli A.; Hamid T.; Mazhar R.; Fadil Ahmed R.E.; Abouhasera R.; Zabihi M.; Malik J.; Hamila R.; Gabbouj M.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Echocardiogram (echo) is the earliest and the primary tool for identifying regional wall motion abnormalities (RWMA) in order to diagnose myocardial infarction (MI) or commonly known as heart attack. This paper proposes a ... -
Long-term epileptic EEG classification via 2D mapping and textural features
Samiee K.; Kiranyaz, Mustafa Serkan; Gabbouj M.; Saramaki T. ( Elsevier Ltd , 2015 , Article)Interpretation of long-term Electroencephalography (EEG) records is a tiresome task for clinicians. This paper presents an efficient, low cost and novel approach for patient-specific classification of long-term epileptic ... -
Matlab/Simulink Modeling and Simulation of Electric Appliances Based on their Actual Current Waveforms
Gastli A.; Kiranyaz, Mustafa Serkan; Hamila R.; Ellabban O. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)This paper presents a novel modeling technique of electric appliances using Matlab/Simulink based on their actual measured current waveforms. Home appliances were used as the study case, but the proposed approach can be ... -
Multifrequency Polsar Image Classification Using Dual-Band 1D Convolutional Neural Networks
Ahishali M.; Kiranyaz, Mustafa Serkan; Ince T.; Gabbouj M. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)In this work, we propose a novel classification approach based on dual-band one-dimensional Convolutional Neural Networks (1D-CNNs) for classification of multifrequency polarimetric SAR (PolSAR) data. The proposed approach ... -
Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms
Rahman A.; Chowdhury M.E.H.; Khandakar A.; Kiranyaz, Mustafa Serkan; Zaman K.S.; Reaz M.B.I.; Islam M.T.; Ezeddin M.; Kadir M.A.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Electroencephalography (EEG) based biometric systems are gaining attention for their anti-spoofing capability but lack accuracy due to signal variability at different psychological and physiological conditions. On the other ... -
One-Dimensional Convolutional Neural Networks for Real-Time Damage Detection of Rotating Machinery
Avci O.; Abdeljaber O.; Kiranyaz, Mustafa Serkan; Sassi S.; Ibrahim A.; Gabbouj M.... more authors ... less authors ( Springer , 2022 , Conference Paper)This paper presents a novel real-time rotating machinery damage monitoring system. The system detects, quantifies, and localizes damage in ball bearings in a fast and accurate way using one-dimensional convolutional neural ... -
Operational neural networks
Kiranyaz, Mustafa Serkan; Ince T.; Iosifidis A.; Gabbouj M. ( Springer , 2020 , Article)Feed-forward, fully connected artificial neural networks or the so-called multi-layer perceptrons are well-known universal approximators. However, their learning performance varies significantly depending on the function ... -
Optimization on ports activation towards energy efficient data center networks
Chkirbene Z.; Hamila R.; Foufou S.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( Springer Verlag , 2018 , Conference Paper)Nowadays, Internet of thing including network support (i.e. checking social media, sending emails, video conferencing) requires smart and efficient data centers to support these services. Hence, data centers become more ... -
Particle swarm clustering fitness evaluation with computational centroids
Raitoharju J.; Samiee K.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( Elsevier B.V. , 2017 , Article)In this paper, we propose a new way to carry out fitness evaluation in dynamic Particle Swarm Clustering (PSC) with centroid-based encoding. Generally, the PSC fitness function is selected among the clustering validity ... -
Patient-Specific Seizure Detection Using Nonlinear Dynamics and Nullclines
Zabihi M.; Kiranyaz, Mustafa Serkan; Jantti V.; Lipping T.; Gabbouj M. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Nonlinear dynamics has recently been extensively used to study epilepsy due to the complex nature of the neuronal systems. This study presents a novel method that characterizes the dynamic behavior of pediatric seizure ... -
Performance Comparison of Learned vs. Engineered Features for Polarimetric SAR Terrain Classification
Ahishali M.; Ince T.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)In this work, we propose to use learned features for terrain classification of Polarimetric Synthetic Aperture Radar (PolSAR) images. In the proposed classification framework, the learned features are extracted from sliding ... -
Progressive Operational Perceptrons
Kiranyaz, Mustafa Serkan; Ince T.; Iosifidis A.; Gabbouj M. ( Elsevier B.V. , 2017 , Article)There are well-known limitations and drawbacks on the performance and robustness of the feed-forward, fully-connected Artificial Neural Networks (ANNs), or the so-called Multi-Layer Perceptrons (MLPs). In this study we ... -
Progressive Operational Perceptrons with Memory
Tran D.T.; Kiranyaz, Mustafa Serkan; Gabbouj M.; Iosifidis A. ( Elsevier B.V. , 2020 , Article)Generalized Operational Perceptron (GOP) was proposed to generalize the linear neuron model used in the traditional Multilayer Perceptron (MLP) by mimicking the synaptic connections of biological neurons showing nonlinear ...