Social network analysis: a powerful strategy, also for the information sciences
E Otte, R Rousseau - Journal of information Science, 2002 - journals.sagepub.com
… As it is an idea that can be applied in many fields, we study, in particular, its influence in
the information sciences. Information scientists study publication, citation and co-citation …
the information sciences. Information scientists study publication, citation and co-citation …
Classification of silicon content variation trend based on fusion of multilevel features in blast furnace ironmaking
… Therefore, taking control measures based on information about … information and reflects
the state of the MIQ over a period of time. The capture and classification of this trend information …
the state of the MIQ over a period of time. The capture and classification of this trend information …
… , Prabhakar Raghavan, and Hinrich Schütze: Introduction to information retrieval: Cambridge University Press, Cambridge, England, 2008, 482 pp, ISBN: 978-0-521 …
IC Mogotsi - 2010 - Springer
… Information retrieval (IR) is not a very easy term to … “Information retrieval is the term
conventionally, though somewhat inaccurately, applied to the type of activity discussed in this …
conventionally, though somewhat inaccurately, applied to the type of activity discussed in this …
Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting
… Then, we use the spatial structure information of the graph to convert the graph into a matrix
of traffic stations. So, we can utilize standard deep convolutional neural network to learn …
of traffic stations. So, we can utilize standard deep convolutional neural network to learn …
A fusion collaborative filtering method for sparse data in recommender systems
… between the information explosion and the extreme shortage of information that satisfies …
technique for dealing with information overload, by suggesting information that matches online …
technique for dealing with information overload, by suggesting information that matches online …
Optimized training and scalable implementation of Conditional Deep Neural Networks with early exits for Fog-supported IoT applications
The incoming IoT big data era requires efficient and resource-constrained mining of large
sets of distributed data. This paper explores a possible approach to this end, combining the …
sets of distributed data. This paper explores a possible approach to this end, combining the …
[BOEK][B] Uncertainty in Knowledge Bases: 3rd International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems …
… The papers in this volume are extended versions of presentations at the third International
Conference on Information Processing and Management of Uncertainty in knowledge-based …
Conference on Information Processing and Management of Uncertainty in knowledge-based …
New results on stabilization analysis for fuzzy semi-Markov jump chaotic systems with state quantized sampled-data controller
… Along with the digital technology and information science developed at top speed, sampled-…
the lyapunov functional and the available information on the practical sampling mode are …
the lyapunov functional and the available information on the practical sampling mode are …
Color image dehazing using gradient channel prior and guided l0 filter
… These techniques use various assumptions and priors to estimate the depth information
from the input hazy image itself. However, the efficient estimation of depth information is an ill-…
from the input hazy image itself. However, the efficient estimation of depth information is an ill-…
MOEA/D with a self-adaptive weight vector adjustment strategy based on chain segmentation
… The authors declare that they do not have any commercial or associative interest that
represents a conflict of interest in connection with the work submitted to Information Sciences. …
represents a conflict of interest in connection with the work submitted to Information Sciences. …