research
∙
07/12/2023
Operational Support Estimator Networks
In this work, we propose a novel approach called Operational Support Est...
share
research
∙
06/02/2023
On Feature Diversity in Energy-based Models
Energy-based learning is a powerful learning paradigm that encapsulates ...
research
∙
05/13/2023
Sound-to-Vibration Transformation for Sensorless Motor Health Monitoring
Automatic sensor-based detection of motor failures such as bearing fault...
research
∙
04/19/2023
Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification
Hyperspectral image (HSI) classification is an important task in many ap...
research
∙
04/19/2023
Improved Active Fire Detection using Operational U-Nets
As a consequence of global warming and climate change, the risk and exte...
research
∙
04/17/2023
Optimum Output Long Short-Term Memory Cell for High-Frequency Trading Forecasting
High-frequency trading requires fast data processing without information...
research
∙
02/23/2023
Real-Time Damage Detection in Fiber Lifting Ropes Using Convolutional Neural Networks
The health and safety hazards posed by worn crane lifting ropes mandate ...
research
∙
01/03/2023
WLD-Reg: A Data-dependent Within-layer Diversity Regularizer
Neural networks are composed of multiple layers arranged in a hierarchic...
research
∙
12/30/2022
Blind Restoration of Real-World Audio by 1D Operational GANs
Objective: Despite numerous studies proposed for audio restoration in th...
research
∙
12/12/2022
Zero-Shot Motor Health Monitoring by Blind Domain Transition
Continuous long-term monitoring of motor health is crucial for the early...
research
∙
12/11/2022
Comprehensive Complexity Assessment of Emerging Learned Image Compression on CPU and GPU
Learned Compression (LC) is the emerging technology for compressing imag...
research
∙
10/25/2022
End-to-end Transformer for Compressed Video Quality Enhancement
Convolutional neural networks have achieved excellent results in compres...
research
∙
09/29/2022
R2C-GAN: Restore-to-Classify GANs for Blind X-Ray Restoration and COVID-19 Classification
Restoration of poor quality images with a blended set of artifacts plays...
research
∙
09/22/2022
Efficient CNN with uncorrelated Bag of Features pooling
Despite the superior performance of CNN, deploying them on low computati...
research
∙
09/13/2022
A Survey on Mobile Edge Computing for Video Streaming: Opportunities and Challenges
5G communication brings substantial improvements in the quality of servi...
research
∙
08/29/2022
EmpathicSchool: A multimodal dataset for real-time facial expressions and physiological data analysis under different stress conditions
Affective computing has garnered researchers' attention and interest in ...
research
∙
07/14/2022
A Personalized Zero-Shot ECG Arrhythmia Monitoring System: From Sparse Representation Based Domain Adaption to Energy Efficient Abnormal Beat Detection for Practical ECG Survei
This paper proposes a low-cost and highly accurate ECG-monitoring system...
research
∙
04/14/2022
Early Myocardial Infarction Detection with One-Class Classification over Multi-view Echocardiography
Myocardial infarction (MI) is the leading cause of mortality and morbidi...
research
∙
04/07/2022
Global ECG Classification by Self-Operational Neural Networks with Feature Injection
Objective: Global (inter-patient) ECG classification for arrhythmia dete...
research
∙
02/21/2022
OSegNet: Operational Segmentation Network for COVID-19 Detection using Chest X-ray Images
Coronavirus disease 2019 (COVID-19) has been diagnosed automatically usi...
research
∙
02/20/2022
SRL-SOA: Self-Representation Learning with Sparse 1D-Operational Autoencoder for Hyperspectral Image Band Selection
The band selection in the hyperspectral image (HSI) data processing is a...
research
∙
02/09/2022
Non-Linear Spectral Dimensionality Reduction Under Uncertainty
In this paper, we consider the problem of non-linear dimensionality redu...
research
∙
02/09/2022
Reducing Redundancy in the Bottleneck Representation of the Autoencoders
Autoencoders are a type of unsupervised neural networks, which can be us...
research
∙
01/29/2022
Blind ECG Restoration by Operational Cycle-GANs
Continuous long-term monitoring of electrocardiography (ECG) signals is ...
research
∙
01/26/2022
Self-attention fusion for audiovisual emotion recognition with incomplete data
In this paper, we consider the problem of multimodal data analysis with ...
research
∙
01/26/2022
Self-Attention Neural Bag-of-Features
In this work, we propose several attention formulations for multivariate...
research
∙
11/29/2021
Image denoising by Super Neurons: Why go deep?
Classical image denoising methods utilize the non-local self-similarity ...
research
∙
11/10/2021
Learning to ignore: rethinking attention in CNNs
Recently, there has been an increasing interest in applying attention me...
research
∙
11/09/2021
Early Myocardial Infarction Detection over Multi-view Echocardiography
Myocardial infarction (MI) is the leading cause of mortality in the worl...
research
∙
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...
research
∙
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...
research
∙
09/02/2021
Remote Multilinear Compressive Learning with Adaptive Compression
Multilinear Compressive Learning (MCL) is an efficient signal acquisitio...
research
∙
09/01/2021
Bilinear Input Normalization for Neural Networks in Financial Forecasting
Data normalization is one of the most important preprocessing steps when...
research
∙
08/04/2021
Generalized Tensor Summation Compressive Sensing Network (GTSNET): An Easy to Learn Compressive Sensing Operation
In CS literature, the efforts can be divided into two groups: finding a ...
research
∙
06/27/2021
Representation Based Regression for Object Distance Estimation
In this study, we propose a novel approach to predict the distances of t...
research
∙
06/10/2021
Within-layer Diversity Reduces Generalization Gap
Neural networks are composed of multiple layers arranged in a hierarchic...
research
∙
05/08/2021
AnomalyHop: An SSL-based Image Anomaly Localization Method
An image anomaly localization method based on the successive subspace le...
research
∙
04/29/2021
Graph-Embedded Subspace Support Vector Data Description
In this paper, we propose a novel subspace learning framework for one-cl...
research
∙
03/31/2021
Knowledge Distillation By Sparse Representation Matching
Knowledge Distillation refers to a class of methods that transfers the k...
research
∙
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...
research
∙
03/04/2021
BM3D vs 2-Layer ONN
Despite their recent success on image denoising, the need for deep and c...
research
∙
02/09/2021
Ensembling object detectors for image and video data analysis
In this paper, we propose a method for ensembling the outputs of multipl...
research
∙
01/28/2021
Reliable COVID-19 Detection Using Chest X-ray Images
Coronavirus disease 2019 (COVID-19) has emerged the need for computer-ai...
research
∙
12/29/2020
Robust R-Peak Detection in Low-Quality Holter ECGs using 1D Convolutional Neural Network
Noise and low quality of ECG signals acquired from Holter or wearable de...
research
∙
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...
research
∙
11/10/2020
Classification of Polarimetric SAR Images Using Compact Convolutional Neural Networks
Classification of polarimetric synthetic aperture radar (PolSAR) images ...
research
∙
10/05/2020
Early Detection of Myocardial Infarction in Low-Quality Echocardiography
Myocardial infarction (MI), or commonly known as heart attack, is a life...
research
∙
09/26/2020
COVID-19 Infection Map Generation and Detection from Chest X-Ray Images
Computer-aided diagnosis has become a necessity for accurate and immedia...
research
∙
09/22/2020
Performance Indicator in Multilinear Compressive Learning
Recently, the Multilinear Compressive Learning (MCL) framework was propo...
research
∙
09/01/2020
