Results 21 to 30 of about 4,466,597 (305)
Dynamic Selection of Reliance Calibration Cues With AI Reliance Model
IEEE Access, 2023 Understanding what an AI system can and cannot do is necessary for end-users to use the AI properly without being over- or under-reliant on it. Reliance calibration cues (RCCs) communicate an AI’s capability to users, resulting in optimizing their
Yosuke Fukuchi, Seiji Yamada
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Social Media, Content Moderation, and Technology [PDF]
, 2021 This paper develops a theoretical model to study the economic incentives for a social media platform to moderate user-generated content. We show that a self-interested platform can use content moderation as an effective marketing tool to expand its installed user base, to increase the utility of its users, and to achieve its positioning as a moderate ...
arxiv +1 more source
Investigating the Artist’s Role in Social Group Games [PDF]
EAI Endorsed Transactions on Creative Technologies, 2020 Social interactions are a key objective in cultural experience design and museum games are often aimed to fosterconversations between visitors. However, the participation of cultural creators is hardly explored.
M. Vayanou +4 more
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Predictive Edge Caching through Deep Mining of Sequential Patterns in User Content Retrievals [PDF]
arXiv, 2022 Edge caching plays an increasingly important role in boosting user content retrieval performance while reducing redundant network traffic. The effectiveness of caching ultimately hinges on the accuracy of predicting content popularity in the near future.
arxiv
Sensors, 2020 Deep learning based methods have achieved state-of-the-art results on the task of ship type classification. However, most existing ship type classification algorithms take time–frequency (TF) features as input, the underlying discriminative information ...
Chen Li +4 more
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Algorithms, 2018 The ability to learn robust, resizable feature representations from unlabeled data has potential applications in a wide variety of machine learning tasks. One way to create such representations is to train deep generative models that can learn to capture
Aggeliki Vlachostergiou +3 more
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Continuous speech recognition by convolutional neural networks
工程科学学报, 2015 Convolutional neural networks (CNNs), which show success in achieving translation invariance for many image processing tasks, were investigated for continuous speech recognition.
ZHANG Qing-qing +3 more
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Cache-Efficient Approach for Index-Free Personalized PageRank
IEEE Access, 2023 Personalized PageRank (PPR) measures the importance of vertices with respect to a source vertex. Since real-world graphs are evolving rapidly, PPR computation methods need to be index-free and fast.
Kohei Tsuchida +3 more
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The dual nature of TDC – bridging dendritic and T cells in immunity
FEBS Letters, EarlyView.TDC are hematopoietic cells combining dendritic and T cell features. They reach secondary lymphoid organs (SLOs) and peripheral organs (liver and lungs) after FLT3‐dependent development in the bone marrow and maturation in the thymus. TDC are activated and enriched in SLOs upon viral infection, suggesting that they might play unique immune roles, since
Maria Nelli, Mirela Kuka
wiley +1 more source
Confidence Learning for Semi-Supervised Acoustic Event Detection
Applied Sciences, 2021 In recent years, the involvement of synthetic strongly labeled data, weakly labeled data, and unlabeled data has drawn much research attention in semi-supervised acoustic event detection (SAED).
Yuzhuo Liu +4 more
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