Ba-Ngu Vo

Artificial Intelligence · 2008–2014

A researcher in the Science corpus: 6 papers; trusts 13 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it; #6,243 of 35,345 by trust here, #10,942 by citations
• Computer Networks and Communications — 19 citations into it; #1,150 of 9,886 by trust here, #2,044 by citations
• Statistics and Probability — 15 citations into it
• Oceanography — 11 citations into it; #738 of 4,047 by trust here, #3,068 by citations
• Probabilistic & Bayesian Methods — 10 citations into it
• Management Science and Operations Research — 9 citations into it
• Aerospace Engineering — 8 citations into it; #3,535 of 6,421 by trust here, #4,945 by citations
• Electrical and Electronic Engineering — 8 citations into it; #8,115 of 16,539 by trust here, #13,553 by citations

Whom Ba-Ngu Vo trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. B. Vo
2. Ronald P. S. Mahler
3. Dominic Schuhmacher
4. Antonio Cantoni
5. Christian P. Robert
6. Arnaud Doucet
7. Wing-Kin Ma
8. Sumeetpal S. Singh
9. Arthur P. Dempster
10. José Neira

Who trusts Ba-Ngu Vo overall

1. B. Vo
2. Jason L. Williams
3. Karl Granström
4. B. Ristic
5. Hung Gia Hoang
6. Abu Sajana Rahmathullah
7. Marcus Baum
8. Dinh Q. Phung
9. Stephan Reuter
10. John Mullane

Papers from Ba-Ngu Vo's perspective

Ordered by how strongly the researchers Ba-Ngu Vo trusts endorse each paper. Same corpus, a different order for every researcher.

1. Sequential Monte Carlo methods for multitarget filtering with random finite sets (IEEE Transactions on Aerospace and Electronic Systems)
2. Analytic Implementations of the Cardinalized Probability Hypothesis Density Filter (IEEE Transactions on Signal Processing)
3. Sequential Monte Carlo Methods in Practice
4. Statistical Multisource-Multitarget Information Fusion
5. A Consistent Metric for Performance Evaluation of Multi-Object Filters (IEEE Transactions on Signal Processing)
6. Monte Carlo Statistical Methods
7. Comparison of resampling schemes for particle filtering
8. Following a moving target—Monte Carlo inference for dynamic Bayesian models
9. A Tutorial on Particle Filtering and Smoothing: Fifteen years later
10. A survey of convergence results on particle filtering methods for practitioners (IEEE Transactions on Signal Processing)

Their papers

• A Random-Finite-Set Approach to Bayesian SLAM (2011) — 304 citations
• The Labeled Multi-Bernoulli Filter (2014) — 775 citations
• A Tutorial on Bernoulli Filters: Theory, Implementation and Applications (2013) — 296 citations
• A Metric for Performance Evaluation of Multi-Target Tracking Algorithms (2011) — 333 citations
• The Cardinality Balanced Multi-Target Multi-Bernoulli Filter and Its Implementations (2009) — 878 citations
• A Consistent Metric for Performance Evaluation of Multi-Object Filters (2008) — 2,077 citations