Riccardo Taormina

Environmental Engineering · 2012–2015

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 24 citations into it; #2,401 of 5,479 by trust here, #2,092 by citations
• Artificial Intelligence — 20 citations into it; #25,371 of 35,345 by trust here, #24,417 by citations
• Water Science and Technology — 16 citations into it; #578 of 1,711 by trust here, #720 by citations
• Electrical and Electronic Engineering — 12 citations into it

Whom Riccardo Taormina trusts overall

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

1. Holger R. Maier
2. Paulin Coulibaly
3. Hirotugu Akaike
4. Graeme C. Dandy
5. François Anctil
6. Ioannis N. Daliakopoulos
7. Kwok-Wing Chau
8. G. Huang
9. Bernard Bobée
10. N. Null

Who trusts Riccardo Taormina overall

1. Lin Jia
2. F. Mekanik
3. D. Tien Bui
4. Yaoyao He
5. Xinqiu Zhao
6. Monzur Alam Imteaz
7. Qifa Xu
8. Zaher Mundher Yaseen

Papers from Riccardo Taormina's perspective

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

1. Multilayer feedforward networks are universal approximators
2. Neural networks for the prediction and forecasting of water resource variables: a review of modelling issues and applications (Environmental Modelling & Software)
3. A new look at the statistical model identification
4. Asymptotic statistical theory of overtraining and cross-validation
5. Finding Structure in Time
6. Neural network and genetic programming for modelling coastal algal blooms
7. Daily reservoir inflow forecasting using artificial neural networks with stopped training approach
8. FORECASTING WITH ARTIFICIAL NEURAL NETWORKS: THE STATE OF THE ART
9. Comparison of Several Flood Forecasting Models in Yangtze River
10. Groundwater level forecasting using artificial neural networks

Their papers

• Data-driven input variable selection for rainfall-runoff modeling using binary-coded particle swarm optimization and Extreme Learning Machines (2015) — 317 citations
• Artificial neural network simulation of hourly groundwater levels in a coastal aquifer system of the Venice lagoon (2012) — 391 citations