Andrea Dal Pozzolo

Artificial Intelligence · 2014–2018

A researcher in the Science corpus: 4 papers; trusts 109 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 125 citations into it; #17,197 of 35,345 by trust here, #14,181 by citations
• Information Systems — 46 citations into it
• Evaluation & Benchmarks — 23 citations into it
• Accounting — 21 citations into it
• Statistics and Probability — 21 citations into it
• Statistical Learning Theory — 18 citations into it
• Electrical and Electronic Engineering — 15 citations into it; #8,474 of 16,539 by trust here, #9,631 by citations
• Management Science and Operations Research — 12 citations into it

Whom Andrea Dal Pozzolo trusts overall

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

1. Nitesh V. Chawla
2. Charles Peter Elkan
3. David J. Hand
4. Bianca Zadrozny
5. Nathalie Japkowicz
6. J. Ross Quinlan
7. Tom Fawcett
8. Foster J. Provost
9. Pedro M. Domingos
10. Jaka Demsar

Who trusts Andrea Dal Pozzolo overall

1. Hyun-Jae Choi
2. Gianluca Bontempi
3. Sergey I. Nikolenko
4. Olivier Caelen
5. Yaya Heryadi
6. Eric Jang
7. Johannes Jurgovsky
8. James Jordon
9. Noveen Sachdeva
10. Ksenia Konyushkova

Papers from Andrea Dal Pozzolo's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Et al
10. ImageNet: A large-scale hierarchical image database

Their papers

• Calibrating Probability with Undersampling for Unbalanced Classification (2015) — 681 citations
• Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy (2018) — 554 citations
• Adaptive Machine Learning for Credit Card Fraud Detection (2015) — 104 citations
• Learned lessons in credit card fraud detection from a practitioner perspective (2014) — 537 citations