Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Peter Willet"'
arhet detection ivolves using measurements from sensors to makes a binary decisios as to whether or not a atrget exits at (or near) a particluar point in space. In a typical detection scenario, the opreator deploys a group of sensors around the tarac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e785f2b9fca78a948a9bdaa77720781a
http://hdl.handle.net/11386/4771005
http://hdl.handle.net/11386/4771005
Autor:
Peter Willett
Publikováno v:
Journal of Cheminformatics, Vol 14, Iss 1, Pp 1-5 (2022)
Abstract This commentary provides an overview of the publications in, and the citations to, the first twelve volumes of the Journal of Cheminformatics, covering the period 2009–2020. The analysis is based on the 622 articles that have appeared in t
Externí odkaz:
https://doaj.org/article/1dea5b16158d4831bf376c1df3aaaf43
Autor:
Paolo Braca, Leonardo M. Millefiori, Augusto Aubry, Stefano Marano, Antonio De Maio, Peter Willett
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 3, Pp 464-495 (2022)
We study the performance of Machine Learning (ML) classification techniques. Leveraging the theory of large deviations, we provide the mathematical conditions for a ML classifier to exhibit error probabilities that vanish exponentially, say $\exp (-n
Externí odkaz:
https://doaj.org/article/dbfaf65ed2604742a1d01e9e79807588
Autor:
Mattia Brambilla, Domenico Gaglione, Giovanni Soldi, Rico Mendrzik, Gabriele Ferri, Kevin D. LePage, Monica Nicoli, Peter Willett, Paolo Braca, Moe Z. Win
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 3, Pp 169-195 (2022)
This paper addresses the problem of multitarget tracking using a network of sensing agents with unknown positions. Agents have to both localize themselves in the sensor network and, at the same time, perform multitarget tracking in the presence of cl
Externí odkaz:
https://doaj.org/article/18bb01c9b50145bb90ccf20a52798af1
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 3, Pp 372-386 (2022)
Multi-object data fusion – combining measurements or estimates of more than one truth object from more than one observer – requires a first “data association” step of deciding which data have common truth objects. Here we focus on the case of
Externí odkaz:
https://doaj.org/article/947d3a4a077b492d8577231a2094888b
Autor:
Paolo Braca, Domenico Gaglione, Stefano Marano, Leonardo M. Millefiori, Peter Willett, Krishna Pattipati
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract During the course of an epidemic, one of the most challenging tasks for authorities is to decide what kind of restrictive measures to introduce and when these should be enforced. In order to take informed decisions in a fully rational manner
Externí odkaz:
https://doaj.org/article/8049d971705140db88052ddf3e9ef6d0
Publikováno v:
Quantitative Structure-Activity Relationships. 9:302-312
This paper considers the use of fragment weighting schemes for substructural analysis studies. Experiments are reported using 2-D and 3-D substructural descriptors with both small and large datasets for which qualitative activity data are available.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c0b6b29734970adc8e96eeec039196c
https://doi.org/10.1002/qsar.19900090403
https://doi.org/10.1002/qsar.19900090403
Autor:
Shanglin Zhou, Paolo Braca, Stefano Marano, Peter Willett, Leonardo M. Millefiori, Domenico Gaglione, Krishna R. Pattipati
Publikováno v:
IEEE Access, Vol 9, Pp 134384-134401 (2021)
The coronavirus epidemic (COVID-19) is a public health challenge due to its rapid global spread. Its unprecedented speed and pervasiveness have led many governments to implement a series of countermeasures, such as lock-downs, stopping/restricting tr
Externí odkaz:
https://doaj.org/article/c79052a25dc5486faf26ad38dcac3360
Publikováno v:
Nature Structural Biology. 1:758-760
Comparison of BirA and SerRS reveals a striking similarity between their catalytic domains and suggests the possibility of a remote evolutionary realationship
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3452f14b9481234ec36da87e6dfd83c9
https://doi.org/10.1038/nsb1194-758
https://doi.org/10.1038/nsb1194-758
Autor:
Tiziana Beltramonte, Paolo Braca, Maurizio Di Bisceglie, Alessio Di Simone, Carmela Galdi, Antonio Iodice, Leonardo M. Millefiori, Daniele Riccio, Peter Willett
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 1385-1399 (2020)
In this article, we carry out a simulation analysis of ship detection via Global Navigation Satellite System-Reflectometry (GNSS-R) delay-Doppler map (DDM). The GNSS-R DDM simulator used here is a modified version of an algorithm conceived for the ge
Externí odkaz:
https://doaj.org/article/d0a0971b6f504fb0b1839cd8a8b865a0