Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Julien M. Hendrickx"'
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-9 (2019)
Anonymization has been the main means of addressing privacy concerns in sharing medical and socio-demographic data. Here, the authors estimate the likelihood that a specific person can be re-identified in heavily incomplete datasets, casting doubt on
Externí odkaz:
https://doaj.org/article/6c3c954c3a094ccd81b80c42685232b0
Publikováno v:
Physical Review Research, Vol 4, Iss 2, p 023213 (2022)
The key to obtaining a mechanistic and reliable understanding of complex public opinion formation processes is to identify the main mechanism governing interpersonal influence. Researchers have long been exploring simple yet predictive mathematical m
Externí odkaz:
https://doaj.org/article/7cf6eedfee864f0b99ede4bc38a81ca2
Line formation of migrating birds is well-accepted to be caused by birds exploiting wake benefits to save energy expenditure. A flying bird generates wingtip trailing vortices that stir the surrounding air upward and downward, and the following bird
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42f159c67fd69de1ba749623dd979faa
https://doi.org/10.1101/2023.03.17.533072
https://doi.org/10.1101/2023.03.17.533072
Autor:
Samuel C. Pinto, Shirantha Welikala, Sean B. Andersson, Julien M. Hendrickx, Christos G. Cassandras
Publikováno v:
Automatica (Online), Vol. 149, p. 110808 (2022)
We investigate the problem of optimally observing a finite set of targets using a mobile agent over an infinite time horizon. The agent is tasked to move in a network-constrained structure to gather information so as to minimize the worst-case uncert
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43311e7d3f6be49abbbcf4b80388072e
https://hdl.handle.net/2078.1/269250
https://hdl.handle.net/2078.1/269250
Autor:
Sebastien Colla, Julien M. Hendrickx
We present a methodology to automatically compute worst-case performance bounds for a large class of first-order decentralized optimization algorithms. These algorithms aim at minimizing the average of local functions that are distributed across a ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27ffc67531a0160940a0cc47770216fd
http://arxiv.org/abs/2203.05963
http://arxiv.org/abs/2203.05963
Publikováno v:
IFAC-PapersOnLine, 53 (5)
3rd IFAC Workshop on Cyber-Physical & Human Systems, CPHS 2020. Proceedings
IFAC-PapersOnLine, Vol. 53, no.5, p. 307-310 (2020)
3rd IFAC Workshop on Cyber-Physical & Human Systems, CPHS 2020. Proceedings
IFAC-PapersOnLine, Vol. 53, no.5, p. 307-310 (2020)
IFAC-PapersOnLine, 53 (5)
ISSN:2405-8963
3rd IFAC Workshop on Cyber-Physical & Human Systems, CPHS 2020. Proceedings
ISSN:2405-8963
3rd IFAC Workshop on Cyber-Physical & Human Systems, CPHS 2020. Proceedings
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e476bd4805702180ef1bf571b519443
https://doi.org/10.1016/j.ifacol.2021.04.187
https://doi.org/10.1016/j.ifacol.2021.04.187
Autor:
Claudio Altafini, Giacomo Como, Julien M. Hendrickx, Alexander Olshevsky, Alireza Tahbaz-Salehi
Publikováno v:
IEEE Transactions on Control of Network Systems, Vol. 9, no.3, p. 1053-1055 (2022)
Mathematical models of social networks, i.e., communities of interacting individuals, have existed for more than 50 years and have been used extensively by sociologists, behavioral scientists, and economists. The traditional focus has been on obtaini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::165bd7221c9c728176190661cce8f574
http://hdl.handle.net/11583/2971615
http://hdl.handle.net/11583/2971615
Autor:
Mingming Shi, Julien M. Hendrickx
Publikováno v:
2021 60th IEEE Conference on Decision and Control (CDC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1942bf84b28515b33fb9771019fe83e
https://doi.org/10.1109/cdc45484.2021.9682910
https://doi.org/10.1109/cdc45484.2021.9682910
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-9 (2019)
Nature Communications
Nature Communications, Vol. 10, no.1 (2019)
Nature Communications
Nature Communications, Vol. 10, no.1 (2019)
While rich medical, behavioral, and socio-demographic data are key to modern data-driven research, their collection and use raise legitimate privacy concerns. Anonymizing datasets through de-identification and sampling before sharing them has been th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf1350664063d2074af19a31b7391fe6
http://link.springer.com/article/10.1038/s41467-019-10933-3
http://link.springer.com/article/10.1038/s41467-019-10933-3
Publikováno v:
IEEE Transactions on Automatic Control, Vol. 64, no. 6, p. 2240-2253 (2019)
Much recent research has dealt with the identifiability of a dynamical network in which the node signals are connected by causal linear transfer functions and are excited by known external excitation signals and/or unknown noise signals. A major rese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0eac9ef1a112bb75697d221e8e91aade
https://doi.org/10.1109/tac.2018.2867336
https://doi.org/10.1109/tac.2018.2867336