Vojtech Franc

Artificial Intelligence · 2008–2018

A researcher in the Science corpus: 6 papers; trusts 59 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it; #8,249 of 35,345 by trust here, #26,682 by citations
• Optimization & Training — 26 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it; #5,951 of 21,575 by trust here, #17,258 by citations
• Statistical Learning Theory — 12 citations into it
• Biomedical Engineering — 7 citations into it
• Molecular Biology — 6 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Vojtech Franc trusts overall

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

1. Thorsten Joachims
2. Chih-Jen Lin
3. Bernhard Schölkopf
4. Shai Shalev-Shwartz
5. Rong-En Fan
6. Alex Smola
7. Olivier Chapelle
8. Yoram Singer
9. Yuhai Wu
10. Choon Hui Teo

Who trusts Vojtech Franc overall

1. Veronica Piccialli
2. Aliaksei Severyn
3. Berk Ustun
4. Sören Sonnenburg
5. Marco Sciandrone
6. Jin Yu
7. S. V. N. Vishwanathan
8. Guo-Xun Yuan
9. Daniel Quang
10. Zeynep Akata

Papers from Vojtech Franc's perspective

Ordered by how strongly the researchers Vojtech Franc 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Optimized cutting plane algorithm for support vector machines (2008) — 133 citations
• Visual Heart Rate Estimation with Convolutional Neural Network (2018) — 323 citations
• FASOLE: Fast Algorithm for Structured Output LEarning (2014)
• Support Vector Machines as Probabilistic Models (2011) — 52 citations
• The SHOGUN Machine Learning Toolbox (2010) — 306 citations
• Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization (2009) — 86 citations