Tomas Pranckevičius

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Information Systems — 10 citations into it

Whom Tomas Pranckevičius trusts overall

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

1. Miroslav Kubat
2. Aryan Mokhtari
3. Marina Sokolova
4. Lior Rokach
5. Thorsten Joachims
6. Jason D. M. Rennie
7. Rahul Agrawal
8. Alejandro Ribeiro
9. Oded Z. Maimon
10. Guy Lapalme

Papers from Tomas Pranckevičius's perspective

Ordered by how strongly the researchers Tomas Pranckevičius 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. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Text Categorization with Support Vector Machines: Learning with Many Relevant Features

Their papers

• Comparison of Naive Bayes, Random Forest, Decision Tree, Support Vector Machines, and Logistic Regression Classifiers for Text Reviews Classification (2017) — 303 citations