research
∙
08/25/2023
Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities
Evolutionary algorithms (EA), a class of stochastic search methods based...
share
research
∙
06/23/2023
TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support
Trust evaluation assesses trust relationships between entities and facil...
research
∙
06/11/2023
A Comprehensive Survey on Applications of Transformers for Deep Learning Tasks
Transformer is a deep neural network that employs a self-attention mecha...
research
∙
04/08/2023
A Reinforcement Learning-assisted Genetic Programming Algorithm for Team Formation Problem Considering Person-Job Matching
An efficient team is essential for the company to successfully complete ...
research
∙
03/05/2023
Ensemble Reinforcement Learning: A Survey
Reinforcement Learning (RL) has emerged as a highly effective technique ...
research
∙
02/14/2023
Accelerated Fuzzy C-Means Clustering Based on New Affinity Filtering and Membership Scaling
Fuzzy C-Means (FCM) is a widely used clustering method. However, FCM and...
research
∙
12/19/2022
An experience in automatically extracting CAPAs from code repositories
TOM (stands for Theoretically Objective Measurements of Software Develop...
research
∙
06/25/2022
Asymmetric Transfer Hashing with Adaptive Bipartite Graph Learning
Thanks to the efficient retrieval speed and low storage consumption, lea...
research
∙
04/30/2022
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning
Heterogeneous graph neural network (HGNN) is a very popular technique fo...
research
∙
03/20/2022
Vision Transformer with Convolutions Architecture Search
Transformers exhibit great advantages in handling computer vision tasks....
research
∙
12/23/2021
Robust and Precise Facial Landmark Detection by Self-Calibrated Pose Attention Network
Current fully-supervised facial landmark detection methods have progress...
research
∙
07/15/2021
An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem
Vehicle routing problem (VRP) is a typical discrete combinatorial optimi...
research
∙
03/10/2021
A Two-stage Framework and Reinforcement Learning-based Optimization Algorithms for Complex Scheduling Problems
There hardly exists a general solver that is efficient for scheduling pr...
research
∙
07/13/2020
Integrating Variable Reduction Strategy with Evolutionary Algorithm for Solving Nonlinear Equations Systems
Nonlinear equations systems (NESs) are widely used in real-world problem...
research
∙
07/13/2020
Bottom-up mechanism and improved contract net protocol for the dynamic task planning of heterogeneous Earth observation resources
Earth observation resources are becoming increasingly indispensable in d...
research
∙
07/02/2020
Exponentially Weighted l_2 Regularization Strategy in Constructing Reinforced Second-order Fuzzy Rule-based Model
In the conventional Takagi-Sugeno-Kang (TSK)-type fuzzy models, constant...
research
∙
06/20/2020
G-image Segmentation: Similarity-preserving Fuzzy C-Means with Spatial Information Constraint in Wavelet Space
G-images refer to image data defined on irregular graph domains. This wo...
research
∙
05/12/2020
A Novel Granular-Based Bi-Clustering Method of Deep Mining the Co-Expressed Genes
Traditional clustering methods are limited when dealing with huge and he...
research
∙
04/15/2020
Residual-driven Fuzzy C-Means Clustering for Image Segmentation
Due to its inferior characteristics, an observed (noisy) image's direct ...
research
∙
04/13/2020
Augmentation of the Reconstruction Performance of Fuzzy C-Means with an Optimized Fuzzification Factor Vector
Information granules have been considered to be the fundamental construc...
research
∙
04/03/2020
Granular Computing: An Augmented Scheme of Degranulation Through a Modified Partition Matrix
As an important technology in artificial intelligence Granular Computing...
research
∙
03/13/2020
Agile Earth observation satellite scheduling over 20 years: formulations, methods and future directions
Agile satellites with advanced attitude maneuvering capability are the n...
research
∙
02/21/2020
Kullback-Leibler Divergence-Based Fuzzy C-Means Clustering Incorporating Morphological Reconstruction and Wavelet Frames for Image Segmentation
Although spatial information of images usually enhance the robustness of...
research
∙
02/14/2020
Residual-Sparse Fuzzy C-Means Clustering Incorporating Morphological Reconstruction and Wavelet frames
Instead of directly utilizing an observed image including some outliers,...
research
∙
08/22/2019
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy
Numerous learning methods for fuzzy cognitive maps (FCMs), such as the H...
research
∙
08/26/2018
An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Non-stationary Data Streams
Existing fuzzy neural networks (FNNs) are mostly developed under a shall...
research
∙
03/15/2017
Aggregation of Classifiers: A Justifiable Information Granularity Approach
In this study, we introduce a new approach to combine multi-classifiers ...
research
∙
07/28/2014
Entropic one-class classifiers
The one-class classification problem is a well-known research endeavor i...
research
∙
01/14/2014