253 citations · 1.2k across the 46 of their papers we have counts for
7 papers · 1 filter
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…