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pro vyhledávání: '"Verma, Sunny"'
Autor:
Tag, Benjamin, van Berkel, Niels, Verma, Sunny, Zhao, Benjamin Zi Hao, Berkovsky, Shlomo, Kaafar, Dali, Kostakos, Vassilis, Ohrimenko, Olga
Artificial Intelligence (AI) systems have been increasingly used to make decision-making processes faster, more accurate, and more efficient. However, such systems are also at constant risk of being attacked. While the majority of attacks targeting A
Externí odkaz:
http://arxiv.org/abs/2212.03980
Graph neural networks (GNNs) have demonstrated a significant boost in prediction performance on graph data. At the same time, the predictions made by these models are often hard to interpret. In that regard, many efforts have been made to explain the
Externí odkaz:
http://arxiv.org/abs/2207.12599
Record linkage algorithms match and link records from different databases that refer to the same real-world entity based on direct and/or quasi-identifiers, such as name, address, age, and gender, available in the records. Since these identifiers gen
Externí odkaz:
http://arxiv.org/abs/2206.15089
Publikováno v:
The International Conference on Behavioral and Social Computing (BESC 2021)
Algorithmic processes are increasingly employed to perform managerial decision making, especially after the tremendous success in Artificial Intelligence (AI). This paradigm shift is occurring because these sophisticated AI techniques are guaranteein
Externí odkaz:
http://arxiv.org/abs/2109.14345
Imitation learning aims to extract knowledge from human experts' demonstrations or artificially created agents in order to replicate their behaviors. Its success has been demonstrated in areas such as video games, autonomous driving, robotic simulati
Externí odkaz:
http://arxiv.org/abs/2106.12177
Recent works for attributed network clustering utilize graph convolution to obtain node embeddings and simultaneously perform clustering assignments on the embedding space. It is effective since graph convolution combines the structural and attributi
Externí odkaz:
http://arxiv.org/abs/2104.07295
Autor:
Verma, Sunny, Wang, Jiwei, Ge, Zhefeng, Shen, Rujia, Jin, Fan, Wang, Yang, Chen, Fang, Liu, Wei
Multimodal sentiment analysis utilizes multiple heterogeneous modalities for sentiment classification. The recent multimodal fusion schemes customize LSTMs to discover intra-modal dynamics and design sophisticated attention mechanisms to discover the
Externí odkaz:
http://arxiv.org/abs/2010.08218
The principal component analysis network (PCANet) is an unsupervised parsimonious deep network, utilizing principal components as filters in its convolution layers. Albeit powerful, the PCANet consists of basic operations such as principal components
Externí odkaz:
http://arxiv.org/abs/2010.06096
Publikováno v:
In Knowledge-Based Systems 21 June 2023 270
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