Angel Conde

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it
• Signal Processing — 24 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Control and Systems Engineering — 6 citations into it

Whom Angel Conde trusts overall

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

1. Eamonn J. Keogh
2. Alexey Tsymbal
3. Salvador Garcia
4. Lexiang Ye
5. Mayu Sakurada
6. Oded Z. Maimon
7. David J. Hill
8. Subutai Ahmad
9. Alex Krizhevsky
10. Alban Siffer

Papers from Angel Conde's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Deep Learning
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. HOT SAX: efficiently finding the most unusual time series subsequence (Industrial Conference on Data Mining)
8. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Review on Outlier/Anomaly Detection in Time Series Data (2020) — 1,061 citations
• Multi-head CNN-RNN for multi-time series anomaly detection: An industrial case study (2019) — 360 citations