Annamaria Mesaros
Signal Processing · 2010–2018
A researcher in the Science corpus: 6 papers; trusts 19 researchers and is trusted by 45 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 41 citations into it; #605 of 7,572 by trust here, #1,147 by citations
- Artificial Intelligence — 23 citations into it
- Computer Vision and Pattern Recognition — 20 citations into it; #4,186 of 21,575 by trust here, #7,584 by citations
- Information Systems — 5 citations into it
Whom Annamaria Mesaros trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Toni Heittola
- Dan Stowell
- Diederik P. Kingma
- Tuomas Virtanen
- George Forman
- Daniele Barchiesi
- Emre Çakir
- Dimitrios Giannoulis
- Mark D. Plumbley
- Peter Foster
Who trusts Annamaria Mesaros overall
- Toni Heittola
- Eduardo Fonseca
- Qiuqiang Kong
- Tuomas Virtanen
- Shuyang Zhao
- Nicolas Turpault
- Shayan Gharib
- Justin Salamon
- Shawn Hershey
- Jakob Abeßer
Papers from Annamaria Mesaros's perspective
Ordered by how strongly the researchers Annamaria Mesaros trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- GENERATIVE ADVERSARIAL NETS
- ImageNet: A large-scale hierarchical image database
Their papers
- TUT database for acoustic scene classification and sound event detection (2016) — 660 citations
- A multi-device dataset for urban acoustic scene classification (2018) — 434 citations
- Detection and Classification of Acoustic Scenes and Events: Outcome of the DCASE 2016 Challenge (2018) — 313 citations
- DCASE2017 Challenge Setup: Tasks, Datasets and Baseline System (2017) — 506 citations
- Metrics for Polyphonic Sound Event Detection (2016) — 649 citations
- Acoustic event detection in real life recordings (2010) — 331 citations