Results 221 to 230 of about 318,999 (276)

Vision-Based Trajectory Reconstruction in Human Activities: Methodology and Application. [PDF]

Sensors (Basel)
Lottefier J, Van den Broeck P, Van Nimmen K.   +2 more
europepmc   +1 more source

Data, not documents: Moving beyond theories of information‐seeking behavior to advance data discovery

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.
Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million, Jeremy York, Sara Lafia, Libby Hemphill   +3 more
wiley   +1 more source

Design of an integrated model with temporal graph attention and transformer-augmented RNNs for enhanced anomaly detection. [PDF]

Sci Rep
Veesam SB, Satish AR, Tupakula S, Chinnam Y, Prakash K, Bansal S, Faruque MRI.   +6 more
europepmc   +1 more source

Adaptive diffusion models for overcoming data scarcity in long-distance face recognition. [PDF]

Sci Rep
Li J.
europepmc   +1 more source

Crowd counting in domain generalization based on multi-scale attention and hierarchy level enhancement. [PDF]

Sci Rep
Zhou J, Zhang J, Gui Y.
europepmc   +1 more source

Community notes reduce engagement with and diffusion of false information online. [PDF]

Proc Natl Acad Sci U S A
Slaughter I, Peytavin A, Ugander J, Saveski M.   +3 more
europepmc   +1 more source

Battery management in IoT hybrid grid system using deep learning algorithms based on crowd sensing and micro climatic data. [PDF]

Sci Rep
Rajamani S, Ramasamy A.
europepmc   +1 more source

Aggregating soft labels from crowd annotations improves uncertainty estimation under distribution shift. [PDF]

PLoS One
Wright D, Augenstein I.
europepmc   +1 more source

Crowd counting with crowd attention convolutional neural network

Neurocomputing, 2020
Accepted by ...
Jiwei Chen, Wen Su
exaly   +3 more sources

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The Crowd is a Collaborative Network

Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing, 2016
The main goal of this paper is to show that crowdworkers collaborate to fulfill technical and social needs left by the platform they work on. That is, crowdworkers are not the independent, autonomous workers they are often assumed to be, but instead work within a social network of other crowdworkers.
Mary L. Gray, Siddharth Suri, Syed Shoaib Ali, Deepti Kulkarni   +3 more
openaire   +1 more source