Ivan Glesk

Building and Construction · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Building and Construction — 13 citations into it
• Electrical and Electronic Engineering — 13 citations into it
• Artificial Intelligence — 9 citations into it

Whom Ivan Glesk trusts overall

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

1. Soteris A. Kalogirou
2. M. Jeong
3. Felix Alexander Gers
4. Emmanuèle Grosicki

Papers from Ivan Glesk's perspective

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

1. Recurrent nets that time and count
2. Development and Validation of the
3. A weighted linear prediction method for near-field source localization (IEEE Transactions on Signal Processing)
4. Applications of artificial neural-networks for energy systems
5. Long Short-Term Memory
6. Untersuchungen zu dynamischen neuronalen Netzen
7. Learning to Forget: Continual Prediction with LSTM
8. Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies
9. Learning long-term dependencies with gradient descent is difficult
10. Gradient-based learning applied to document recognition

Their papers

• Machine learning for estimation of building energy consumption and performance: a review (2018) — 431 citations