Ran Gilad-Bachrach

Artificial Intelligence · with Archer · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it

Whom Ran Gilad-Bachrach trusts overall

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

1. Xiaojin Zhu

Papers from Ran Gilad-Bachrach's perspective

Ordered by how strongly the researchers Ran Gilad-Bachrach trusts endorse each paper. Same corpus, a different order for every researcher.

1. Tell me more?: the effects of mental model soundness on personalizing an intelligent agent
2. Power to the People: The Role of Humans in Interactive Machine Learning (The AI Magazine)
3. Machine Teaching: An Inverse Problem to Machine Learning and an Approach Toward Optimal Education
4. Stability and Generalization
5. Explanatory Debugging: Supporting End-User Debugging of Machine-Learned Programs
6. FeatureInsight: Visual support for error-driven feature ideation in text classification
7. Pattern Classification
8. Kernel Methods and Machine Learning
9. Toward harnessing user feedback for machine learning
10. Support-Vector Networks

Their papers

• APPLICATIONS OF HOMOMORPHIC ENCRYPTION (2017)
• Debugging Machine Learning Models (2016)