Community detection in networks using bio-inspired optimization: Latest developments, new results and perspectives with a selection of recent meta-heuristics
Detecting groups within a set of interconnected nodes is a widely addressed problem that
can model a diversity of applications. Unfortunately, detecting the optimal partition of a …
can model a diversity of applications. Unfortunately, detecting the optimal partition of a …
Integrating local CNN and global CNN for script identification in natural scene images
L Lu, Y Yi, F Huang, K Wang, Q Wang - IEEE Access, 2019 - ieeexplore.ieee.org
Script identification in natural scene images is a key pre-step for text recognition and is also
an indispensable condition for automatic text understanding systems that are designed for …
an indispensable condition for automatic text understanding systems that are designed for …
Detecting communities with multiplex semantics by distinguishing background, general, and specialized topics
Finding semantic communities using network topology and contents together is a hot topic in
community detection. Existing methods often use word attributes in an indiscriminate way to …
community detection. Existing methods often use word attributes in an indiscriminate way to …
Mixedemotions: An open-source toolbox for multimodal emotion analysis
Recently, there is an increasing tendency to embed functionalities for recognizing emotions
from user-generated media content in automated systems such as call-centre operations …
from user-generated media content in automated systems such as call-centre operations …
Overlap** community detection using core label propagation algorithm and belonging functions
JP Attal, M Malek, M Zolghadri - Applied Intelligence, 2021 - Springer
The community detection in complex networks has become a major field of research.
Disjoint community detection deals often with getting a partition of nodes where every node …
Disjoint community detection deals often with getting a partition of nodes where every node …
Discovery of associated consumer demands: Construction of a co-demanded product network with community detection
Some consumers have various product demands that are associated with each other.
Although there are methods for discovering the associations among co-purchased products …
Although there are methods for discovering the associations among co-purchased products …
[PDF][PDF] An Entity-Association-Based Matrix Factorization Recommendation Algorithm.
G Liu, K Meng, J Ding, JP Nees, H Guo… - … , Materials & Continua, 2019 - cdn.techscience.cn
Collaborative filtering is the most popular approach when building recommender systems,
but the large scale and sparse data of the user-item matrix seriously affect the …
but the large scale and sparse data of the user-item matrix seriously affect the …
Analysis of smartphone I/O characteristics—Toward efficient swap in a smartphone
J Kim, H Bahn - IEEE Access, 2019 - ieeexplore.ieee.org
Due to the recent advances in mobile platform technologies, people are increasingly
working with their smartphones. For example, digital healthcare, automotive navigation, and …
working with their smartphones. For example, digital healthcare, automotive navigation, and …
Anisotropic graph convolutional network for semi-supervised learning
M Mesgaran, AB Hamza - IEEE Transactions on Multimedia, 2020 - ieeexplore.ieee.org
Graph convolutional networks learn effective node embeddings that have proven to be
useful in achieving high-accuracy prediction results in semi-supervised learning tasks, such …
useful in achieving high-accuracy prediction results in semi-supervised learning tasks, such …