Jakob Abeßer

Signal Processing · 2021

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 7 citations into it; #3,734 of 7,572 by trust here, #7,486 by citations

Whom Jakob Abeßer trusts overall

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

1. Annamaria Mesaros
2. Eduardo Fonseca
3. Tuomas Virtanen
4. Toni Heittola
5. Xavier Favory
6. Deliang Wang
7. Justin Salamon
8. Karol J. Piczak
9. Jordi Pons
10. Frederic Font

Who trusts Jakob Abeßer overall

1. Eduardo Fonseca
2. Xavier Favory
3. Jordi Pons
4. Frederic Font

Papers from Jakob Abeßer's perspective

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

1. Metrics for Polyphonic Sound Event Detection
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. Scaper: A library for soundscape synthesis and augmentation
5. ImageNet classification with deep convolutional neural networks
6. A Framework for the Robust Evaluation of Sound Event Detection
7. Detection and Classification of Acoustic Scenes and Events: Outcome of the DCASE 2016 Challenge
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. FSD50K: An Open Dataset of Human-Labeled Sound Events
10. DCASE2017 Challenge Setup: Tasks, Datasets and Baseline System

Their papers

• USM-SED - A Dataset for Polyphonic Sound Event Detection in Urban Sound Monitoring Scenarios (2021) — 7 citations