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Frontiers of Combining Systems 14th International Symposium, FroCoS 2023, Prague, Czech Republic, September 20–22, 2023, Proceedings
This book constitutes the refereed proceedings of the 14th International Symposium on Frontiers of Combining Systems, FroCoS 2023, held in Prague,...
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Problems of Combining Multiple Text Recognition Results
AbstractIn this paper, the task of combining recognition results from multiple images is considered. Systems in which such problems occur are...
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Combining Deductive Verification with Shape Analysis
Deductive verification tools can prove a large range of program properties, but often face issues on recursive data structures. Abstract...
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New method for combining Matsui’s bounding conditions with sequential encoding method
As the first generic method for finding the optimal differentialand linear characteristics, Matsui’s branch and bound search algorithm has played an...
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Image neural style transfer combining global and local optimization
In order to avoid the shortcomings of a single optimization method, improve the effect of style transfer, and control the occurrence of artifacts,...
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Self-attention reinforcement learning for multi-beam combining in mmWave 3D-MIMO systems
Machine learning (ML) has been empowering all aspects of the wireless communication system design, among which, the reinforcement learning (RL)-based...
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Extreme Learning Machine Combining Hidden-Layer Feature Weighting and Batch Training for Classification
Based on the network structure and training methods of extreme learning machines, extreme learning machine combining hidden-layer feature weighting...
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Measuring cognitive load of digital interface combining event-related potential and BubbleView
Helmet mounted display systems (HMDs) are high-performance display devices for modern aircraft. We propose a novel method combining event-related...
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COSMIC: Music emotion recognition combining structure analysis and modal interaction
As a common multi-modal information carrier, music is frequently used to deliver emotions with lyrics and melodies. Besides lyrics (text) and...
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An Ensemble Model for Combining Deep Matrix Factorization and Image-Based Recommendation Systems
Recommender systems are widely used in many domains, especially in E-commerce. It can be used for attracting users by recommending appropriate...
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Assessing the opportunity of combining state-of-the-art Android malware detectors
Research on Android malware detection based on Machine learning has been prolific in recent years. In this paper, we show, through a large-scale...
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Attitudes toward artificial intelligence: combining three theoretical perspectives on technology acceptance
Evidence on AI acceptance comes from a diverse field comprising public opinion research and largely experimental studies from various disciplines....
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Artistic font generation network combining font style and glyph structure discriminators
Artistic font plays an important practical value in advertising media and graphic design. The font is rendered to present a unique text effect, which...
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Predicting Android malware combining permissions and API call sequences
Malware detection is an important task in software maintenance. It can effectively protect user information from the attack of malicious developers....
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A label propagation community discovery algorithm combining seed node influence and neighborhood similarity
To address the problem of poor stability and low accuracy of community division caused by the randomness in the traditional label propagation...
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Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization
Diabetes mellitus (DM) can cause chronic foot issues and severe infections, including Diabetic Foot Ulcers (DFUs) that heal slowly due to...
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JoCaD: a joint training method by combining consistency and diversity
Noisy labels due to mistakes in manual labeling or data collecting are challenging for the expansion of deep neural network applications. Current...
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Combining frequency transformer and CNNs for medical image segmentation
Image segmentation is one of the most challenging and difficult tasks in digital image processing. It has many medical applications such as cancerous...
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CFF: combining interactive features and user interest features for click-through rate prediction
Click-through rate is a central issue in ad recommendation and has recently received extensive research attention in academia and industry. Research...
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Combining semantic and linguistic representations for media recommendation
Content-based recommendation systems offer the possibility of promoting media (e.g., posts, videos, podcasts) to users based solely on a...
