Simon Maskell
researcher
Facts
11 properties- Instance of
- human
- Date of birth
- 1976
- Country of citizenship
- United Kingdom[3]
- Occupation
- researcher
- Employer
- University of Liverpool[4]
- Educated at
- University of Cambridge[5]
- Official website
- www.simonmaskell.com[11]
- Doctoral student
- Mark Briers[7]
🏷️ Also known as
en Simon Maskell
🔖 Identifiers · 9
- ORCID iD
- 0000-0003-1917-2913
- Companies House company ID
- 09149235
- Companies House officer ID
- ZVEWsn_EXPOJwicFTHs98_MvmYA
- Google Knowledge Graph ID
- /g/11f0ywwqx4
- Google Scholar author ID
- p1OtmlsAAAAJ
- IEEE Xplore author ID
- 37268735800
- MR Author ID
- 743351
- Mathematics Genealogy Project ID
- 178620
- OpenCorporates ID
- gb/09149235
🔗 Connections
Author of 16
An O(log<sub>2</sub> N) SMC<sup>2</sup> Algorithm on Distributed Memory with an Approx. Optimal L-Kernel,
Causality Patterns for Detecting Adverse Drug Reactions From Social Media: Text Mining Approach,
Coherent Long-Time Integration and Bayesian Detection With Bernoulli Track-Before-Detect,
Cold atom inertial sensors for navigation applications,
Continuous-Discrete Multiple Target Filtering: PMBM, PHD and CPHD Filter Implementations,
Convolutional Neural Networks for Aerial Vehicle Detection and Recognition,
Data-Driven Clustering and Bernoulli Merging for the Poisson Multi-Bernoulli Mixture Filter,
Detecting and Tracking Small Moving Objects in Wide Area Motion Imagery (WAMI) Using Convolutional Neural Networks (CNNs)
+8 more
← Authored by 16
An O(log<sub>2</sub> N) SMC<sup>2</sup> Algorithm on Distributed Memory with an Approx. Optimal L-Kernel,
Causality Patterns for Detecting Adverse Drug Reactions From Social Media: Text Mining Approach,
Coherent Long-Time Integration and Bayesian Detection With Bernoulli Track-Before-Detect,
Cold atom inertial sensors for navigation applications,
Continuous-Discrete Multiple Target Filtering: PMBM, PHD and CPHD Filter Implementations,
Convolutional Neural Networks for Aerial Vehicle Detection and Recognition,
Data-Driven Clustering and Bernoulli Merging for the Poisson Multi-Bernoulli Mixture Filter,
Detecting and Tracking Small Moving Objects in Wide Area Motion Imagery (WAMI) Using Convolutional Neural Networks (CNNs)
+8 more
Affiliated with 1
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