Luciana Ferrer
Artificial Intelligence · 2014–2021
A researcher in the Science corpus: 7 papers; trusts 26 researchers and is trusted by 26 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 60 citations into it; #6,622 of 35,345 by trust here, #10,667 by citations
- Signal Processing — 60 citations into it; #1,014 of 7,572 by trust here, #1,411 by citations
- Speech & Audio — 35 citations into it; #377 of 1,076 by trust here, #479 by citations
- Natural Language Processing — 19 citations into it
- Experimental and Cognitive Psychology — 11 citations into it
- Evaluation & Benchmarks — 10 citations into it; #2,038 of 3,147 by trust here, #2,743 by citations
- Computer Vision and Pattern Recognition — 6 citations into it
Whom Luciana Ferrer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Graves
- Florian Eyben
- Pavel Matejka
- Carlos Busso
- Yoshua Bengio
- Douglas A. Reynolds
- Florin Curelaru
- Steven R. Livingstone
- Reza Lotfian
Who trusts Luciana Ferrer overall
- Arsha Nagrani
- David Snyder
- Joon Son Chung
- Zhongxin Bai
- Daniel Garcia-Romero
- Ming Li
- Koji Okabe
- Fred Richardson
- Weicheng Cai
- Raymond W. M. Ng
Papers from Luciana Ferrer's perspective
Ordered by how strongly the researchers Luciana Ferrer trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- A novel scheme for speaker recognition using a phonetically-aware deep neural network (2014) — 627 citations
- Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings (2021) — 483 citations
- Advances in deep neural network approaches to speaker recognition (2015) — 129 citations
- The Speakers in the Wild (SITW) Speaker Recognition Database (2016) — 279 citations
- Robust Features in Deep-Learning-Based Speech Recognition (2017) — 36 citations
- The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases (2015) — 803 citations
- Approaches to Multi-domain Language Recognition (2018) — 10 citations