Nasser Mohammadiha
Signal Processing · 2013–2024
A researcher in the Science corpus: 4 papers; trusts 20 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 30 citations into it; #3,796 of 7,572 by trust here, #3,673 by citations
- Artificial Intelligence — 24 citations into it; #30,189 of 35,345 by trust here, #26,682 by citations
- Computational Mechanics — 15 citations into it; #5,401 of 10,001 by trust here, #6,041 by citations
- Computer Vision and Pattern Recognition — 9 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Nasser Mohammadiha trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Carla Lopes
- Daniel D. Lee
- Tomohiro Nakatani
- Y. Hu
- Tuomas Virtanen
- Fernando Perdigão
- Chanwoo Kim
- Hirokazu Kameoka
- Rainer Martin
- Hans-Jürgen Sebastian
Who trusts Nasser Mohammadiha overall
- Donald S. Williamson
- Jinyu Li
- Deliang Wang
- Keisuke Kinoshita
- Berrak Sisman
- Chengyu Zheng
- Zhuo Chen
- Li Deng
- Marc Delcroix
- Junichi Yamagishi
Papers from Nasser Mohammadiha's perspective
Ordered by how strongly the researchers Nasser Mohammadiha trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization (2013) — 398 citations
- Speech Dereverberation Using Non-Negative Convolutive Transfer Function and Spectro-Temporal Modeling (2016) — 33 citations
- Exploring the Integration of Large Language Models in Industrial Test Maintenance Processes (2024)
- Static and Dynamic Source Separation Using Nonnegative Factorizations: A unified view (2014) — 167 citations