John M. Quilty
Environmental Engineering · 2016–2020
A researcher in the Science corpus: 6 papers; trusts 35 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 79 citations into it; #2,048 of 5,479 by trust here, #1,521 by citations
- Global and Planetary Change — 53 citations into it; #6,574 of 10,225 by trust here, #6,762 by citations
- Water Science and Technology — 51 citations into it; #1,552 of 1,711 by trust here, #1,231 by citations
- Artificial Intelligence — 50 citations into it
- Electrical and Electronic Engineering — 34 citations into it; #10,364 of 16,539 by trust here, #7,770 by citations
- Statistics and Probability — 13 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Ocean Engineering — 11 citations into it; #2,979 of 3,193 by trust here, #2,034 by citations
Whom John M. Quilty trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ashish Sharma
- Holger R. Maier
- G. Huang
- Robert J. May
- Graeme C. Dandy
- Claude E. Shannon
- Ludmila I. Kuncheva
- Marc M. Van Hulle
- Zoltán Szabó
- Amir Aghakouchak
Who trusts John M. Quilty overall
Papers from John M. Quilty's perspective
Ordered by how strongly the researchers John M. Quilty trusts endorse each paper. Same corpus, a different order for every researcher.
- Neural Networks for Pattern Recognition
- Seasonal to interannual rainfall probabilistic forecasts for improved water supply management: Part 1 — A strategy for system predictor identification
- Statistical Learning Theory
- A Mathematical Theory of Communication
- Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions (Environmental Modelling & Software)
- Input determination for neural network models in water resources applications. Part 1—background and methodology
- Non-linear variable selection for artificial neural networks using partial mutual information (Environmental Modelling & Software)
- ImageNet classification with deep convolutional neural networks
- Information Theory: 1948-1998 - Guest Editorial
- A mathematical theory of communication
Their papers
- Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq (2016) — 299 citations
- Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model (2017) — 220 citations
- Using ensembles of adaptive neuro-fuzzy inference system and optimization algorithms to predict reference evapotranspiration in subtropical climatic zones (2020) — 75 citations
- Coupling the maximum overlap discrete wavelet transform and long short-term memory networks for irrigation flow forecasting (2019) — 97 citations
- On the applicability of maximum overlap discrete wavelet transform integrated with MARS and M5 model tree for monthly pan evaporation prediction (2019) — 98 citations
- Bootstrap rank‐ordered conditional mutual information (broCMI): A nonlinear input variable selection method for water resources modeling (2016) — 85 citations