Titlebook: Computer Supported Cooperative Work and Social Computing; 18th CCF Conference, Yuqing Sun,Tun Lu,Bowen Du Conference proceedings 2024 The E

粗野

Information Technology and Global Governanceorm constraint and sets the average flight distance of the weapon as the second optimization objective. In response to such problems, this paper proposes an improved multi-objective auction algorithm, which is based on the traditional auction algorithm and the non-dominated sorting strategy, improve

Synapse

The Content Governance Dilemma,ual annotation has been used as a means to label images. However, manual annotation is laborious and time-consuming and can introduce additional noise. To address these issues, this paper investigates an automatic algorithm for improving a cat breed classification model based on meta loss correction

誘騙

無效

Annulla Linders,Marina Kalanderignment (GRA), and role transfer. Among these stages, GRA holds significant importance as a critical step in the process. In Social Sciences, trust between group members in collaboration tends to profoundly impact the final performance. However, existing GRA problems neglected the trust relationship

條街道往前推

output

Annulla Linders,Marina Kalandeributions from researchers in solving LSOPs, the large search space and the numerous local optimal solutions of LSOPs are still two important challenges. In order to alleviate the above challenges, this paper proposes a dimension-based elite learning particle swarm optimizer (DELPSO). In DELPSO, indi

Aggressive

corn732

Johan Christensen,Cathrine Holst hand, simply using Chinese-English rich resources to expand the training data faces problems in disentangling of linguistic feature and speaker timbre feature. This paper proposes to build a cross-lingual feature disentangler and incorporate Time-Frequency Attention Adaptive Normalization (TFAAN) t

Confound

https://doi.org/10.1007/978-3-030-44105-0 actions. Most of the existing methods analyze video data without considering the spatial information of human joints. Although the classification of single-frame action has achieved remarkable results, there are challenges in over-segmentation under high precision. To address this challenge, we pro

Ganglion

In the Name of Silence and Destruction,In the course of our research on convolutional neural networks (CNNs), we have discovered a novel model aggregation method called CoME, which accelerates model training speed, enhances model precision, and exhibits good interpretability. Starting from the relationship between convolutions and planar