David A. Cieslak

Artificial Intelligence · 2006–2011

A researcher in the Science corpus: 4 papers; trusts 27 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it; #5,796 of 35,345 by trust here, #13,962 by citations
• Statistical Learning Theory — 11 citations into it
• Information Systems — 10 citations into it; #882 of 8,771 by trust here, #2,912 by citations
• Evaluation & Benchmarks — 7 citations into it
• Optimization & Training — 6 citations into it

Whom David A. Cieslak trusts overall

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

1. Thomas G. Dietterich
2. Leo Breiman
3. Nitesh V. Chawla
4. Jaka Demsar
5. Peter A. Flach
6. J. Ross Quinlan
7. Charles Peter Elkan
8. Thomas Kailath
9. Foster J. Provost
10. Gustavo E. A. P. A. Batista

Who trusts David A. Cieslak overall

1. Andrea Dal Pozzolo
2. Octavio Loyola-González
3. Paula Branco
4. Giovanna Menardi
5. Gianluca Bontempi
6. Rukshan Batuwita
7. Wei Liu
8. Felix Last
9. Rok Blagus
10. Ryan Lichtenwalter

Papers from David A. Cieslak's perspective

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

1. Gradient-based learning applied to document recognition
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. LIBSVM: A library for support vector machines
7. The Nature of Statistical Learning Theory
8. ImageNet: A large-scale hierarchical image database
9. UCI Repository of machine learning databases
10. Et al

Their papers

• Hellinger distance decision trees are robust and skew-insensitive (2011)
• Hellinger distance decision trees are robust and skew-insensitive (2011) — 251 citations
• Learning Decision Trees for Unbalanced Data (2008) — 301 citations
• Combating imbalance in network intrusion datasets (2006) — 310 citations