Davide Anguita

Computer Vision and Pattern Recognition · 1994–2016

A researcher in the Science corpus: 8 papers; trusts 31 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it; #20,876 of 21,575 by trust here, #10,677 by citations
• Artificial Intelligence — 38 citations into it
• Statistical Learning Theory — 24 citations into it
• Biomedical Engineering — 16 citations into it; #10,038 of 10,734 by trust here, #5,210 by citations
• Statistics and Probability — 15 citations into it
• Control and Systems Engineering — 13 citations into it
• Optimization & Training — 10 citations into it
• Signal Processing — 7 citations into it

Whom Davide Anguita trusts overall

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

1. Yuhai Wu
2. Peter L. Bartlett
3. Vladimir Naumovich Vapni
4. Vladimir Naumovich Vapnik
5. Thomas G. Dietterich
6. Ron Kohavi
7. Corinna Cortes
8. Olivier Bousquet
9. S. Sathiya Keerthi
10. Shahar Mendelson

Who trusts Davide Anguita overall

1. Wenchao Jiang
2. Arjun Nitin Bhagoji
3. Jorge Luis Reyes-Ortiz
4. Jihun Hamm
5. Mohammad Mehedi Hassan
6. Vivek Sharma
7. Luca Oneto
8. Jiachun Liao
9. Abdulmajid Murad
10. Sumit Majumder

Papers from Davide Anguita's perspective

Ordered by how strongly the researchers Davide Anguita 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. Gradient-based learning applied to document recognition
4. The Nature of Statistical Learning Theory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine (2012) — 982 citations
• Transition-Aware Human Activity Recognition Using Smartphones (2016) — 734 citations
• Machine learning approaches for improving condition-based maintenance of naval propulsion plants (2016) — 198 citations
• Tikhonov, Ivanov and Morozov regularization for support vector machine learning (2016) — 69 citations
• A Public Domain Dataset for Human Activity Recognition using Smartphones (2013) — 2,591 citations
• The 'K' in K-fold Cross Validation (2012) — 367 citations
• Mixing floating- and fixed-point formats for neural network learning on neuroprocessors (1996)
• An efficient implementation of BP on RISC-based workstations (1994)