Alessandra De Paola

Computer Vision and Pattern Recognition · 2017

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

Subfields

• Computer Vision and Pattern Recognition — 5 citations into it

Whom Alessandra De Paola trusts overall

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

1. Daphne Koller
2. Kevin P. Murphy
3. Diane Joyce Cook
4. Narayanan Chatapuram Krishnan
5. Nir Friedman
6. Stuart J. Russell

Papers from Alessandra De Paola's perspective

Ordered by how strongly the researchers Alessandra De Paola 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. Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• An Adaptive Bayesian System for Context-Aware Data Fusion in Smart Environments (2017) — 72 citations