Herman Verrelst

Ultrasound in Obstetrics and Gynecology · 1998–2001

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Whom Herman Verrelst trusts overall

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

1. David E. Goldberg
2. Tomaso A. Poggio
3. Johan A. K. Suykens

Who trusts Herman Verrelst overall

1. Ivan Kobyzev

Papers from Herman Verrelst's perspective

Ordered by how strongly the researchers Herman Verrelst trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adaptive Filter Theory
2. Genetic Algorithms in Search Optimization and Machine Learning
3. Nonconvex optimization using a Fokker-Planck learning machine
4. Nonlinear Bayesian estimation using Gaussian sum approximations
5. Networks for approximation and learning
6. Neural Networks: A Comprehensive Foundation
7. Support-Vector Networks
8. Fast Training of Support Vector Machines using Sequential Minimal Optimization
9. Atomic Decomposition by Basis Pursuit
10. Optimization by Simulated Annealing

Their papers

• Prognostic importance of degree of differentiation and cyst rupture in stage I invasive epithelial ovarian carcinoma. (2001) — 614 citations
• Terms, definitions and measurements to describe the sonographic features of adnexal tumors: a consensus opinion from the International Ovarian Tumor Analysis (IOTA) group (2000) — 1,061 citations
• Bayesian networks in ovarian cancer diagnosis: potentials and limitations (2000) — 34 citations
• On-Line Learning Fokker-Planck Machine (1998)