253 citations · 1.2k across the 46 of their papers we have counts for
46 papers
Evidential Information Fusion on Possibilistic Structure
Qianli Zhou, Ye Cui, Zhen Li +2
Dempster's rule is a fundamental tool for combining belief functions from distinct and reliable sources. However, its intersection-based semantics imposes strong structural restric…
A Boundary-Aware Non-parametric Granular-Ball Classifier Based on Minimum Description Length
Zeqiang Xian, Caihui Liu, Yong Zhang +3
Existing granular-ball classification methods are often driven by handcrafted quality measures, neighborhood rules, or heuristic splitting and stopping criteria, which may reduce t…
MDL-GBG: A Non-parametric and Interpretable Granular-Ball Generation Method for Clustering
Zeqiang Xian, Caihui Liu, Yong Zhang +3
Existing granular-ball generation methods are still mainly driven by handcrafted quality measures and heuristic splitting or stopping criteria, which may weaken the transparency of…
Clustering-based Anomaly Detection in Multivariate Time Series Data
Jinbo Li, Hesam Izakian, Witold Pedrycz +1
Multivariate time series data come as a collection of time series describing different aspects of a certain temporal phenomenon. Anomaly detection in this type of data constitutes…
Multivariate Time series Anomaly Detection:A Framework of Hidden Markov Models
Jinbo Li, Witold Pedrycz, Iqbal Jamal
In this study, we develop an approach to multivariate time series anomaly detection focused on the transformation of multivariate time series to univariate time series. Several tra…
Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities
Yanjie Song, Yutong Wu, Yangyang Guo +7
Evolutionary algorithms (EA), a class of stochastic search methods based on the principles of natural evolution, have received widespread acclaim for their exceptional performance…
A Reinforcement Learning-assisted Genetic Programming Algorithm for Team Formation Problem Considering Person-Job Matching
Yangyang Guo, Hao Wang, Lei He +3
An efficient team is essential for the company to successfully complete new projects. To solve the team formation problem considering person-job matching (TFP-PJM), a 0-1 integer p…
Ensemble Reinforcement Learning: A Survey
Yanjie Song, P. N. Suganthan, Witold Pedrycz +4
Reinforcement Learning (RL) has emerged as a highly effective technique for addressing various scientific and applied problems. Despite its success, certain complex tasks remain ch…
Accelerated Fuzzy C-Means Clustering Based on New Affinity Filtering and Membership Scaling
Dong Li, Shuisheng Zhou, Witold Pedrycz
Fuzzy C-Means (FCM) is a widely used clustering method. However, FCM and its many accelerated variants have low efficiency in the mid-to-late stage of the clustering process. In th…
Combating harmful Internet use with peer assessment and differential evolution
W. W. Koczkodaj, M. Mazurek, W. Pedrycz +8
Harmful Internet use (HIU) is a term coined for the unintended use of the Internet. In this study, we propose a more accurate HIU measuring method based on the peer assessment and…
An experience in automatically extracting CAPAs from code repositories
Yegor Bugayenko, Imre Delgado, Firas Jolha +5
TOM (stands for Theoretically Objective Measurements of Software Development Projects) is a set of services that are in charge of helping developers or teams in the process of iden…
Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation
Yang Nan, Javier Del Ser, Zeyu Tang +7
Airway segmentation is crucial for the examination, diagnosis, and prognosis of lung diseases, while its manual delineation is unduly burdensome. To alleviate this time-consuming a…
Asymmetric Transfer Hashing with Adaptive Bipartite Graph Learning
Jianglin Lu, Jie Zhou, Yudong Chen +2
Thanks to the efficient retrieval speed and low storage consumption, learning to hash has been widely used in visual retrieval tasks. However, existing hashing methods assume that…
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning
Cuiying Huo, Dongxiao He, Yawen Li +5
Heterogeneous graph neural network (HGNN) is a very popular technique for the modeling and analysis of heterogeneous graphs. Most existing HGNN-based approaches are supervised or s…
Logistics in the Sky: A Two-phase Optimization Approach for the Drone Package Pickup and Delivery System
Fangyu Hong, Guohua Wu, Qizhang Luo +3
The application of drones in the last-mile distribution is a research hotspot in recent years. Different from the previous urban distribution mode that depends on trucks, this pape…
Vision Transformer with Convolutions Architecture Search
Haichao Zhang, Kuangrong Hao, Witold Pedrycz +3
Transformers exhibit great advantages in handling computer vision tasks. They model image classification tasks by utilizing a multi-head attention mechanism to process a series of…
Robust and Precise Facial Landmark Detection by Self-Calibrated Pose Attention Network
Jun Wan, Hui Xi, Jie Zhou +4
Current fully-supervised facial landmark detection methods have progressed rapidly and achieved remarkable performance. However, they still suffer when coping with faces under larg…
An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem
Bingjie Li, Guohua Wu, Yongming He +2
Vehicle routing problem (VRP) is a typical discrete combinatorial optimization problem, and many models and algorithms have been proposed to solve the VRP and its variants. Althoug…
A Two-stage Framework and Reinforcement Learning-based Optimization Algorithms for Complex Scheduling Problems
Yongming He, Guohua Wu, Yingwu Chen +1
There hardly exists a general solver that is efficient for scheduling problems due to their diversity and complexity. In this study, we develop a two-stage framework, in which rein…
LDNet: End-to-End Lane Marking Detection Approach Using a Dynamic Vision Sensor
Farzeen Munir, Shoaib Azam, Moongu Jeon +2
Modern vehicles are equipped with various driver-assistance systems, including automatic lane keeping, which prevents unintended lane departures. Traditional lane detection methods…
Online Multi-Object Tracking and Segmentation with GMPHD Filter and Mask-based Affinity Fusion
Young-min Song, Young-chul Yoon, Kwangjin Yoon +3
In this paper, we propose a highly practical fully online multi-object tracking and segmentation (MOTS) method that uses instance segmentation results as an input. The proposed met…
Exponentially Weighted l_2 Regularization Strategy in Constructing Reinforced Second-order Fuzzy Rule-based Model
Congcong Zhang, Sung-Kwun Oh, Witold Pedrycz +2
In the conventional Takagi-Sugeno-Kang (TSK)-type fuzzy models, constant or linear functions are usually utilized as the consequent parts of the fuzzy rules, but they cannot effect…
Bottom-up mechanism and improved contract net protocol for the dynamic task planning of heterogeneous Earth observation resources
Baoju Liu, Min Deng, Guohua Wu +3
Earth observation resources are becoming increasingly indispensable in disaster relief, damage assessment and related domains. Many unpredicted factors, such as the change of obser…
G-image Segmentation: Similarity-preserving Fuzzy C-Means with Spatial Information Constraint in Wavelet Space
Cong Wang, Witold Pedrycz, ZhiWu Li +2
G-images refer to image data defined on irregular graph domains. This work elaborates a similarity-preserving Fuzzy C-Means (FCM) algorithm for G-image segmentation and aims to dev…