Nicholas Cummins

Speech Communication · 2015–2019

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Nicholas Cummins trusts overall

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

1. Thomas F. Quatieri
2. C. Burges
3. Tomi H. Kinnunen
4. L. Manea
5. Björn Schuller
6. William M. Campbell
7. R. Bagby
8. Douglas A. Reynolds
9. Andrew R. A. Conway
10. Jeffrey F. Cohn

Who trusts Nicholas Cummins overall

1. Daniel M. Low
2. Fabien Ringeval
3. Kate H Bentley

Papers from Nicholas Cummins's perspective

Ordered by how strongly the researchers Nicholas Cummins 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Densely Connected Convolutional Networks
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Curriculum learning

Their papers

• AVEC 2017: Real-life Depression, and Affect Recognition Workshop and Challenge (2017) — 361 citations
• A review of depression and suicide risk assessment using speech analysis (2015) — 955 citations
• AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition (2019) — 420 citations