Results 331 to 340 of about 145,174 (370)
Some of the next articles are maybe not open access.
IEEE Transactions on Image Processing, 2019
Facial expression is central to human experience, but most previous databases and studies are limited to posed facial behavior under controlled conditions.
Shan Li, Weihong Deng
semanticscholar +1 more source
Facial expression is central to human experience, but most previous databases and studies are limited to posed facial behavior under controlled conditions.
Shan Li, Weihong Deng
semanticscholar +1 more source
Towards an integrated crowdsourcing definition
Journal of Information Science, 2012 Enrique Estellés-arolas +1 more
exaly +2 more sources
A Decentralized Location Privacy-Preserving Spatial Crowdsourcing for Internet of Vehicles
IEEE transactions on intelligent transportation systems (Print), 2021With the rapid development of Internet of Vehicles (IoV), vehicle-based spatial crowdsourcing (SC) applications have been proposed and widely applied to various fields. However, location privacy leakage is a serious issue in spatial crowdsourcing because
Junwei Zhang +5 more
semanticscholar +1 more source
Proceedings of the 22nd international conference on World Wide Web, 2013
An essential aspect for building effective crowdsourcing com- putations is the ability of "controlling the crowd", i.e. of dynamically adapting the behaviour of the crowdsourcing systems as response to the quantity and quality of completed tasks or to the availability and reliability of performers.
BOZZON, ALESSANDRO +3 more
openaire +3 more sources
An essential aspect for building effective crowdsourcing com- putations is the ability of "controlling the crowd", i.e. of dynamically adapting the behaviour of the crowdsourcing systems as response to the quantity and quality of completed tasks or to the availability and reliability of performers.
BOZZON, ALESSANDRO +3 more
openaire +3 more sources
R&D Management, 2020
The COVID‐19 pandemic has caused unprecedented public health and economic crises. As a response to face the current emergency, science and innovation communities are realizing a fundamental contribution to tackle the crisis.
Silvia Vermicelli +2 more
semanticscholar +1 more source
The COVID‐19 pandemic has caused unprecedented public health and economic crises. As a response to face the current emergency, science and innovation communities are realizing a fundamental contribution to tackle the crisis.
Silvia Vermicelli +2 more
semanticscholar +1 more source
Crowdsourcing evolution: Towards a taxonomy of crowdsourcing initiatives
2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), 2016The proliferation of crowdsourcing initiatives ever since the term crowdsourcing was coined in 2006, poses a challenge in understanding the theoretical concept of crowd-sourcing. The number of crowdsourcing initiatives mushrooms with many initiatives implemented before the crowdsourcing concept can be clearly and completely understood.
Hazleen Aris, Marina Md Din
openaire +2 more sources
A Proof-of-Trust Consensus Protocol for Enhancing Accountability in Crowdsourcing Services
IEEE Transactions on Services Computing, 2019Incorporating accountability mechanisms in online services requires effective trust management and immutable, traceable source of truth for transaction evidence. The emergence of the blockchain technology brings in high hopes for fulfilling most of those
Jun Zou +5 more
semanticscholar +1 more source
A Blockchain-Powered Crowdsourcing Method With Privacy Preservation in Mobile Environment
IEEE Transactions on Computational Social Systems, 2019Crowdsourcing is a booming technique that enables participants to exchange data directly, thus making it possible to answer latency-sensitive service requests and relieve the burden of core networks.
Xiaolong Xu +5 more
semanticscholar +1 more source
IEEE Transactions on Industrial Informatics, 2019
Deep computation, as an advanced machine learning model, has achieved the state-of-the-art performance for feature learning on big data in industrial Internet of Things (IoT).
Qingchen Zhang +4 more
semanticscholar +1 more source
Deep computation, as an advanced machine learning model, has achieved the state-of-the-art performance for feature learning on big data in industrial Internet of Things (IoT).
Qingchen Zhang +4 more
semanticscholar +1 more source
The Rise and Fall of Crowdsourcing?
2013 46th Hawaii International Conference on System Sciences, 2013Crowdsourcing has been discussed both in academic and managerial articles in recent years. Despite some critical voices, the overall attitude towards crowdsourcing has been quite positive in extant literature. In this paper we want to address potential drawbacks and issue that create shadows on top of crowdsourcing. The overall purpose of this paper is
openaire +4 more sources