Search
Search Results
-
Bipartite Graph Coarsening for Text Classification Using Graph Neural Networks
Text classification is a fundamental task in Text Mining (TM) with applications ranging from spam detection to sentiment analysis. One of the current...
-
A Multilevel Optimization Approach for Large Scale Battery Exchange Station Location Planning
We propose a multilevel optimization algorithm (MLO) for solving large scale instances of the Multi-Period Battery Swap** Station Location Problem...
-
Towards robust neural networks via a global and monotonically decreasing robustness training strategy
Robustness of deep neural networks (DNNs) has caused great concerns in the academic and industrial communities, especially in safety-critical...
-
Multibranch multilevel federated learning for a better feature extraction and a plug-and-play dynamic-adjusting double flow personalization approach
Federated learning (FL) is an emerging technique used to preserve the privacy of users’ data in training by a distributed machine learning approach....
-
The structure of segregation in co-authorship networks and its impact on scientific production
Co-authorship networks, where nodes represent authors and edges represent co-authorship relations, are key to understanding the production and...
-
Learning improvement of spiking neural networks with dynamic adaptive hyperparameter neurons
Spiking neural networks (SNNs) which use spiking neurons as a component, have shown substantial promise in simulating biological neuron mechanisms...
-
A continuous-time diffusion model for inferring multi-layer diffusion networks
Inferring multilayer diffusion networks from observed cascades is both crucial and realistic. To infer multilayer diffusion networks, constructing...
-
Recurrent convolutional model based on gated spiking neural P system for stereo matching networks
The rapid development of deep learning techniques has introduced extensive research improvements to various aspects in the processing pipeline of the...
-
A Multi-scale Convolutional Neural Network Based on Multilevel Wavelet Decomposition for Hyperspectral Image Classification
Deep learning methods have outclassed traditional methods in hyperspectral image classification (HIC). However, due to the limited size of input 3D...
-
A Multilevel Inference Mechanism for User Attributes over Social Networks
In a real social network, each user has attributes for self-description called user attributes which are semantically hierarchical. With these...
-
Determining the factors affecting the ICT use of Turkish students attending PISA-2018: Multilevel profile analysis approach
This study aims to classify student profiles based on the type and frequency of Information and Communication Technologies (ICT) usage. Each profile...
-
An Effective Multiclass Human Skin Lesion Diagnosis System Based on Convolutional Neural Networks
AbstractRecently, deep learning algorithms have acquired considerable attention to diagnosing different human diseases. Hence, recent researches...
-
A generic feature-independent pyramid multilevel model for Arabic handwriting recognition
Over the last decade, several image features extraction schemes such as multi-level (ML) and pyramid multi-level (PML) have been proposed. Generally...
-
Underwater wireless sensor networks: a review of routing protocols, taxonomy, and future directions
Wireless transmission of information using water as a communication channel is one of the potential technologies for the progress of potential...
-
ODRNN: optimized deep recurrent neural networks for automatic detection of leukaemia
Leukaemia image classification involves using machine learning, and often deep learning, techniques to automatically analyse medical images and...
-
Local community detection based on influence maximization in dynamic networks
Social network analysis (SNA) has opened up different research areas to researchers, such as Community Detection and Influence Maximization. By...
-
Ctnet: rethinking convolutional neural networks and vision transformer for medical image segmentation
Convolutional architectures have demonstrated remarkable success in various vision tasks, offering efficient learning through their inherent...
-
Security Threats and Dealing with Social Networks
Social networks are very popular in today’s world. Millions of people use various forms of social networks as they allow individuals to connect with...
-
OptFBFN: IOT threat mitigation in software-defined networks based on fuzzy approach
Software-Defined Networking (SDN) has emerged as a new architectural paradigm in computer networks, aiming to enhance network capabilities and...
-
Research collaboration networks in maturing academic environments
We use data on research collaboration among 5,230 scholars in the University of São Paulo between 2000 and 2019 to understand how a network with high...
