Seema Shah

International Conference on Computing Communication Control and automation · 2018

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

Whom Seema Shah trusts overall

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

1. Mehdi Gheisari
2. Fuyong Xing
3. Yue Deng
4. Daniele Ravì

Who trusts Seema Shah overall

1. Aidan Fuller

Papers from Seema Shah's perspective

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

1. Deep learning for sentiment analysis: A survey (WIREs Data Mining Knowl. Discov.)
2. Deep Direct Reinforcement Learning for Financial Signal Representation and Trading
3. Deep Learning in Microscopy Image Analysis: A Survey (IEEE Transactions on Neural Networks and Learning Systems)
4. A review of supervised machine learning algorithms (International Conference on Computing for Sustainable Global Development)
5. A Survey on Deep Learning in Big Data (22017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC))
6. Deep Learning for Health Informatics
7. Learning long-term dependencies with gradient descent is difficult
8. Deep Learning
9. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
10. This PDF file includes: Materials and Methods

Their papers

• A Review of Machine Learning and Deep Learning Applications (2018) — 575 citations