Dimitris N. Kanellopoulos

Artificial Intelligence · 2006–2007

A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Information Systems — 14 citations into it
• Computational Theory and Mathematics — 8 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Statistical Learning Theory — 6 citations into it
• Algorithms & Complexity — 5 citations into it
• Signal Processing — 5 citations into it

Whom Dimitris N. Kanellopoulos trusts overall

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

1. Robert Craig Holte
2. Pedro M. Domingos
3. William W. Cohen
4. Foster J. Provost
5. Sanmay Das
6. Gary M. Weiss
7. Rakesh Agrawal
8. Usama M. Fayyad
9. Lukasz Kurgan
10. James Dougherty

Who trusts Dimitris N. Kanellopoulos overall

1. Kwetishe Joro Danjuma
2. Ayanna M. Howard
3. Jia Wu
4. Eduardo Almeida Soares
5. Amitha Mathew
6. Swasti Singhal
7. Jonathan J. Davis
8. Igor V. Tetko
9. Felix Last
10. Xiaochen Zheng

Papers from Dimitris N. Kanellopoulos's perspective

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

1. Fast Effective Rule Induction
2. MetaCost: a general method for making classifiers cost-sensitive
3. Robust Classification for Imprecise Environments
4. SMOTE: Synthetic Minority Over-sampling Technique
5. Gradient-based learning applied to document recognition
6. Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction (Journal of Artificial Intelligence Research)
7. ImageNet classification with deep convolutional neural networks
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Very Simple Classification Rules Perform Well on Most Commonly Used Datasets
10. Fast Algorithms for Mining Association Rules

Their papers

• Data Preprocessing for Supervised Leaning (2007) — 1,041 citations
• Association Rules Mining: A Recent Overview (2006) — 667 citations
• Handling imbalanced datasets: A review (2006) — 1,061 citations
• Discretization Techniques: A recent survey (2006) — 477 citations