51 citations · 113 across the 17 of their papers we have counts for
7 papers · 1 filter
Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-organized Operational Layer
Mohammad Soltanian, Junaid Malik, Jenni Raitoharju +3
Automatic classification of speech commands has revolutionized human computer interactions in robotic applications. However, employed recognition models usually follow the methodol…
Operational vs Convolutional Neural Networks for Image Denoising
Junaid Malik, Serkan Kiranyaz, Moncef Gabbouj
Convolutional Neural Networks (CNNs) have recently become a favored technique for image denoising due to its adaptive learning ability, especially with a deep configuration. Howeve…
Self-Organized Operational Neural Networks for Severe Image Restoration Problems
Junaid Malik, Serkan Kiranyaz, Moncef Gabbouj
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…
Exploiting Heterogeneity in Operational Neural Networks by Synaptic Plasticity
Serkan Kiranyaz, Junaid Malik, Habib Ben Abdallah +3
The recently proposed network model, Operational Neural Networks (ONNs), can generalize the conventional Convolutional Neural Networks (CNNs) that are homogenous only with a linear…
Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection
Serkan Kiranyaz, Aysen Degerli, Tahir Hamid +7
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 kno…
FastONN -- Python based open-source GPU implementation for Operational Neural Networks
Junaid Malik, Serkan Kiranyaz, Moncef Gabbouj
Operational Neural Networks (ONNs) have recently been proposed as a special class of artificial neural networks for grid structured data. They enable heterogenous non-linear operat…
Self-Organized Operational Neural Networks with Generative Neurons
Serkan Kiranyaz, Junaid Malik, Habib Ben Abdallah +3
Operational Neural Networks (ONNs) have recently been proposed to address the well-known limitations and drawbacks of conventional Convolutional Neural Networks (CNNs) such as netw…