Jean-Noël Jaubert

2004–2016

A researcher in the Science corpus: 6 papers; trusts 1 researcher and is trusted by 3 researchers here, as inferred from the citation graph.

Whom Jean-Noël Jaubert trusts overall

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

1. Romain Privat

Who trusts Jean-Noël Jaubert overall

1. Yohann Le Guennec
2. Romain Privat
3. Silvia Lasala

Papers from Jean-Noël Jaubert's perspective

Ordered by how strongly the researchers Jean-Noël Jaubert trusts endorse each paper. Same corpus, a different order for every researcher.

1. The state of the cubic equations of state
2. Neural networks, fuzzy logic, and genetic algorithms : synthesis and applications
3. SemEval-2007 Task 10: English Lexical Substitution Task
4. Structural Risk Minimization for Character Recognition
5. Reading comprehension tests for computer-based understanding evaluation
6. Learning with Kernels: support vector machines, regularization, optimization, and beyond
7. Learning Context-Dependent Mappings from Sentences to Logical Form
8. Extensions of recurrent neural network language model
9. A support vector method for optimizing average precision (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
10. PROJECTION PURSUIT DENSITY ESTIMATION

Their papers

• Relationship between the binary interaction parameters (kij) of the Peng–Robinson and those of the Soave–Redlich–Kwong equations of state: Application to the definition of the PR2SRK model (2010) — 162 citations
• A consistency test for α-functions of cubic equations of state (2016) — 143 citations
• Development of the translated-consistent tc-PR and tc-RK cubic equations of state for a safe and accurate prediction of volumetric, energetic and saturation properties of pure compounds in the sub- and super-critical domains (2016) — 139 citations
• Note on the properties altered by application of a Péneloux–type volume translation to an equation of state (2016) — 132 citations
• Integrating support vector regression with genetic algorithm for CO 2 -oil minimum miscibility pressure (MMP) in pure and impure CO 2 streams (2016) — 82 citations
• VLE predictions with the Peng–Robinson equation of state and temperature dependent kij calculated through a group contribution method (2004) — 400 citations