Michael Georgiopoulos

Artificial Intelligence · 2001–2016

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it

Whom Michael Georgiopoulos trusts overall

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

1. Pascal Paillier
2. Emanuel Parzen
3. Jaideep Vaidya
4. Wenliang Du
5. Chris Clifton

Papers from Michael Georgiopoulos's perspective

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

1. Privacy Preserving Naïve Bayes Classifier for Vertically Partitioned Data
2. Fair exchange with a semi-trusted third party (extended abstract)
3. Building decision tree classifier on private data
4. Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
5. On Estimation of a Probability Density Function and Mode
6. College Student Retention Formula For Student Success
7. Probabilistic neural networks
8. Faculty as a Critical Juncture in Student Retention and Performance in Engineering Programs
9. An Understanding of the Improved Grades, Retention and Graduation Rates of STEM Majors at the Academic Investment in Math and Science (AIMS) Program of Bowling Green State University (BGSU)
10. Challenging and Supporting the First-Year Student: A Handbook for Improving the First Year of College.

Their papers

• A Simple Method for Solving the SVM Regularization Path for Semidefinite Kernels (2016) — 29 citations
• Increasing Retention and Graduation Rates Through a STEM Learning Community (2016) — 97 citations
• A Privacy Preserving Probabilistic Neural Network for Horizontally Partitioned Databases (2007) — 22 citations
• Applications of Neural Networks in Electromagnetics (2001) — 322 citations