Browsing Qatar University Institutional Repository by Author "Gabbouj M."
Now showing items 41-51 of 51
-
Real-Time Patient-Specific ECG Classification by 1D Self-Operational Neural Networks
Malik J.; Devecioglu O.C.; Kiranyaz, Mustafa Serkan; Ince T.; Gabbouj M. ( IEEE Computer Society , 2021 , Article)Despite the proliferation of numerous deep learning methods proposed for generic ECG classification and arrhythmia detection, compact systems with the real-time ability and high accuracy for classifying patient-specific ... -
Real-time phonocardiogram anomaly detection by adaptive 1D Convolutional Neural Networks
Kiranyaz, Mustafa Serkan; Zabihi M.; Rad A.B.; Ince T.; Hamila R.; Gabbouj M.... more authors ... less authors ( Elsevier B.V. , 2020 , Article)The heart sound signals (Phonocardiogram ? PCG) enable the earliest monitoring to detect a potential cardiovascular pathology and have recently become a crucial tool as a diagnostic test in outpatient monitoring to assess ... -
Real-time throughput prediction for cognitive Wi-Fi networks
Khan M.A.; Hamila R.; Al-Emadi N.A.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( Academic Press , 2020 , Article)Wi-Fi as a wireless networking technology has become a widely acceptable commonplace. Over the course of time, the applications landscape of Wi-Fi networks is growing tremendously. The proliferation of new services is ... -
Robust R-Peak Detection in Low-Quality Holter ECGs Using 1D Convolutional Neural Network
Zahid M.U.; Kiranyaz, Mustafa Serkan; Ince T.; Devecioglu O.C.; Chowdhury M.E.H.; Khandakar A.; Tahir A.; Gabbouj M.... more authors ... less authors ( IEEE Computer Society , 2022 , Article)Objective: Noise and low quality of ECG signals acquired from Holter or wearable devices deteriorate the accuracy and robustness of R-peak detection algorithms. This paper presents a generic and robust system for R-peak ... -
Self-organized operational neural networks for severe image restoration problems
Malik J.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( Elsevier Ltd , 2021 , Article)Discriminative learning based on convolutional neural networks (CNNs) aims to perform image restoration by learning from training examples of noisy-clean image pairs. It has become the go-to methodology for tackling image ... -
Self-organized Operational Neural Networks with Generative Neurons
Kiranyaz, Mustafa Serkan; Malik J.; Abdallah H.B.; Ince T.; Iosifidis A.; Gabbouj M.... more authors ... less authors ( Elsevier Ltd , 2021 , Article)Operational Neural Networks (ONNs) have recently been proposed to address the well-known limitations and drawbacks of conventional Convolutional Neural Networks (CNNs) such as network homogeneity with the sole linear neuron ... -
Sepsis Prediction in Intensive Care Unit Using Ensemble of XGboost Models
Zabihi M.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( IEEE Computer Society , 2019 , Conference Paper)Sepsis is caused by the dysregulated host response to infection and potentially is the main cause of 6 million death annually. It is a highly dynamic syndrome and therefore the early prediction of sepsis plays a key role ... -
ShakeMe: Key generation from shared motion
Yüzugüzel H.; Niemi J.; Kiranyaz, Mustafa Serkan; Gabbouj M.; Heinz T. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)Devices equipped with accelerometer sensors such as today's mobile devices can make use of motion to exchange information. A typical example for shared motion is shaking of two devices which are held together in one hand. ... -
Sleep stage classification using sparse rational decomposition of single channel EEG records
Samiee K.; Kovacs P.; Kiranyaz, Mustafa Serkan; Gabbouj M.; Saramaki T. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)A sparse representation of ID signals is proposed based on time-frequency analysis using Generalized Rational Discrete Short Time Fourier Transform (RDSTFT). First, the signal is decomposed into a set of frequency sub-bands ... -
Spatiotemporal saliency estimation by spectral foreground detection
Aytekin C.; Possegger H.; Mauthner T.; Kiranyaz, Mustafa Serkan; Bischof H.; Gabbouj M.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)We present a novel approach for spatiotemporal saliency detection by optimizing a unified criterion of color contrast, motion contrast, appearance, and background cues. To this end, we first abstract the video by temporal ... -
Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-Organized Operational Layer
Soltanian M.; Malik J.; Raitoharju J.; Iosifidis A.; Kiranyaz, Mustafa Serkan; Gabbouj M.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)Automatic classification of speech commands has revolutionized human computer interactions in robotic applications. However, employed recognition models usually follow the methodology of deep learning with complicated ...