B. Ozga-Zieliński
Environmental Engineering · 2012–2014
A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 20 citations into it; #2,452 of 5,479 by trust here, #1,555 by citations
- Electrical and Electronic Engineering — 12 citations into it; #16,371 of 16,539 by trust here, #10,714 by citations
- Water Science and Technology — 9 citations into it
- Artificial Intelligence — 8 citations into it
- Global and Planetary Change — 7 citations into it; #4,292 of 10,225 by trust here, #3,676 by citations
Whom B. Ozga-Zieliński trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ozgur Kisi
- MohammadSajjad Khan
- Stéphane Mallat
- Vladimir Naumovich Vapni
- Vladimir Naumovich Vapnik
- Stuart N. Lane
Who trusts B. Ozga-Zieliński overall
Papers from B. Ozga-Zieliński's perspective
Ordered by how strongly the researchers B. Ozga-Zieliński trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- Data-driven modelling: some past experiences and new approaches
- Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand…
- A wavelet-support vector machine conjunction model for monthly streamflow forecasting
- A Wavelet Tour of Signal Processing, 2nd Edition
- Application of Support Vector Machine in Lake Water Level Prediction
- A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series
- River Flow Modeling Using Artificial Neural Networks
- A manifesto for the equifinality thesis
- Wavelet and neuro-fuzzy conjunction model for precipitation forecasting
Their papers
- Long-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet neural network and wavelet support vector regression models (2014) — 428 citations
- Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada (2012) — 460 citations