Adas Gelzinis

Artificial Intelligence · 2010–2011

A researcher in the Science corpus: 2 papers; trusts 50 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it; #9,684 of 21,575 by trust here, #13,542 by citations
• Statistics and Probability — 15 citations into it
• Accounting — 14 citations into it
• Management Science and Operations Research — 13 citations into it
• Statistical Learning Theory — 11 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Evaluation & Benchmarks — 9 citations into it

Whom Adas Gelzinis trusts overall

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

1. Tin Kam Ho
2. Jaka Demsar
3. David John Cameron MacKay
4. Thomas G. Dietterich
5. Leo Breiman
6. Ludmila I. Kuncheva
7. Neil D. Lawrence
8. Radford M. Neal
9. Yoav Freund
10. Geoffrey E. Hinton

Who trusts Adas Gelzinis overall

1. Robin Genuer
2. Handing Wang
3. Marko Bohanec
4. Hua-zhen Wang

Papers from Adas Gelzinis's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. This PDF file includes: Materials and Methods
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Mining data with random forests: A survey and results of new tests (2011) — 721 citations
• Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey (2010) — 167 citations