Erik M. Fredericks
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 9 citations into it
Whom Erik M. Fredericks trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Erik M. Fredericks's perspective
Ordered by how strongly the researchers Erik M. Fredericks trusts endorse each paper. Same corpus, a different order for every researcher.
- Big data: The next frontier for innovation, competition, and productivity
- A survey of machine learning for big data processing
- Book Review: Computational Methods of Feature Selection (The IEEE intelligent informatics bulletin)
- Deep learning applications and challenges in big data analytics
- Data Mining: Concepts and Techniques
- Gene Selection for Cancer Classification using Support Vector Machines
- Big data: the management revolution. (Harvard Business Review)
- Developing a Robust Part-of-Speech Tagger for Biomedical Text (Panhellenic Conference on Informatics)
- Beyond the hype: Big data concepts, methods, and analytics (International Journal of Information Management)
- A review of instance selection methods
Their papers
- Uncertainty in big data analytics: survey, opportunities, and challenges (2019) — 498 citations