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07/17/2022
2D Self-Organized ONN Model For Handwritten Text Recognition
Deep Convolutional Neural Networks (CNNs) have recently reached state-of...
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01/29/2022
Blind ECG Restoration by Operational Cycle-GANs
Continuous long-term monitoring of electrocardiography (ECG) signals is ...
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11/29/2021
Image denoising by Super Neurons: Why go deep?
Classical image denoising methods utilize the non-local self-similarity ...
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09/30/2021
Early Bearing Fault Diagnosis of Rotating Machinery by 1D Self-Organized Operational Neural Networks
Preventive maintenance of modern electric rotating machinery (RM) is cri...
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09/28/2021
Real-Time Glaucoma Detection from Digital Fundus Images using Self-ONNs
Glaucoma leads to permanent vision disability by damaging the optical ne...
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05/25/2021
Self-Organized Variational Autoencoders (Self-VAE) for Learned Image Compression
In end-to-end optimized learned image compression, it is standard practi...
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03/04/2021
Convolutional versus Self-Organized Operational Neural Networks for Real-World Blind Image Denoising
Real-world blind denoising poses a unique image restoration challenge du...
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03/04/2021
BM3D vs 2-Layer ONN
Despite their recent success on image denoising, the need for deep and c...
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11/23/2020
Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-organized Operational Layer
Automatic classification of speech commands has revolutionized human com...
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09/01/2020
Operational vs Convolutional Neural Networks for Image Denoising
Convolutional Neural Networks (CNNs) have recently become a favored tech...
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08/29/2020
Self-Organized Operational Neural Networks for Severe Image Restoration Problems
Discriminative learning based on convolutional neural networks (CNNs) ai...
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08/21/2020
Exploiting Heterogeneity in Operational Neural Networks by Synaptic Plasticity
The recently proposed network model, Operational Neural Networks (ONNs),...
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08/11/2020
Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection
Echocardiogram (echo) is the earliest and the primary tool for identifyi...
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06/03/2020
FastONN – Python based open-source GPU implementation for Operational Neural Networks
Operational Neural Networks (ONNs) have recently been proposed as a spec...
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04/24/2020
Self-Organized Operational Neural Networks with Generative Neurons
Operational Neural Networks (ONNs) have recently been proposed to addres...
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04/09/2019
3D Quantum Cuts for Automatic Segmentation of Porous Media in Tomography Images
Binary segmentation of volumetric images of porous media is a crucial st...
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03/27/2019