A. Taha
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it; #25,377 of 35,345 by trust here, #34,213 by citations
- Accounting — 8 citations into it; #6,183 of 8,970 by trust here, #8,779 by citations
- Information Systems — 5 citations into it
Whom A. Taha trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Efstathios Kirkos
- Alan Jović
- Siddhartha Bhattacharyya
- Guolin Ke
- Charalambos Spathis
- Karla Brkic
- Andrea Dal Pozzolo
- Olivier Caelen
- Yann-Aël Le Borgne
- Sanjeev Jha
Who trusts A. Taha overall
Papers from A. Taha's perspective
Ordered by how strongly the researchers A. Taha trusts endorse each paper. Same corpus, a different order for every researcher.
- Statistical fraud detection: A review
- Data mining for credit card fraud: A comparative study (Decision Support Systems)
- The class imbalance problem: A systematic study
- Learned lessons in credit card fraud detection from a practitioner perspective (Expert systems with applications)
- The relationship between Precision-Recall and ROC curves
- Data Mining techniques for the detection of fraudulent financial statements
- LightGBM: A Highly Efficient Gradient Boosting Decision Tree
- Decision support from financial disclosures with deep neural networks and transfer learning
- Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy (IEEE Transactions on Neural Networks and Learning Systems)
- Using generative adversarial networks for improving classification effectiveness in credit card fraud detection (Information Sciences)