Semi-supervised deep extreme learning machine for Wi-Fi based localization

By Yang Gu, Yiqiang Chen, Junfa Liu, Xinlong Jiang. 2015

88 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Ala Al-Fuqaha
2. Mohsen Guizani
3. Sameh Sorour
4. Jun-Seok Oh
5. M. Mohammadi
6. Ekram Hossain
7. Sanjay Chawla
8. Raghavendra Chalapathy

In Computer Networks and Communications

1. Mohsen Guizani
2. Ala Al-Fuqaha
3. M. Mohammadi
4. Sameh Sorour
5. Umair Mohammad
6. Ekram Hossain
7. Syed Ali Hassan
8. Rasheed Hussain

In Electrical and Electronic Engineering

1. Ala Al-Fuqaha
2. M. Mohammadi
3. Mohsen Guizani
4. Sameh Sorour

Citations in the corpus

• Deep Learning for IoT Big Data and Streaming Analytics: A Survey (2017, methodology): “Other works [93], [94] report using variations of DL models in conjunction with other learning methods to extract features and estimate positions.”
• Semisupervised Deep Reinforcement Learning in Support of IoT and Smart City Services (2018, methodology): “In [31], deep learning joined with semisupervised learning as well as extreme learning machine are applied to unlabeled data to study the performance of feature extraction and classification phases of indoor localization.”