Paulin Coulibaly

Model Architectures · 2000–2013

A researcher in the Science corpus: 8 papers; trusts 11 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Model Architectures — 13 citations into it
• Artificial Intelligence — 12 citations into it; #7,667 of 35,345 by trust here, #12,387 by citations
• Environmental Engineering — 6 citations into it; #462 of 5,479 by trust here, #728 by citations

Whom Paulin Coulibaly trusts overall

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

1. Ronald J. Williams
2. Andreas S. Weigend
3. Jeffrey L. Elman
4. Robert A. Jacobs
5. David E. Rumelhart
6. Barak A. Pearlmutter
7. Holger R. Maier
8. Tomaso A. Poggio
9. Lee A. Feldkamp
10. Keith W. Hipel

Who trusts Paulin Coulibaly overall

1. Riccardo Taormina
2. Kwok-Wing Chau
3. Jan Adamowski
4. Ravinesh C. Deo
5. Chaopeng Shen
6. Pijush Samui
7. Ozgur Kisi
8. Saeid Morid
9. Heesung Yoon
10. Roohollah Noori

Papers from Paulin Coulibaly's perspective

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

1. Learning internal representations by error propagation
2. Finding Structure in Time
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Multilayer feedforward networks are universal approximators
9. Phoneme recognition using time-delay neural networks
10. Increased rates of convergence through learning rate adaptation

Their papers

• Groundwater level forecasting using artificial neural networks (2005) — 673 citations
• Daily reservoir inflow forecasting using artificial neural networks with stopped training approach (2000) — 609 citations
• Application of Support Vector Machine in Lake Water Level Prediction (2006) — 249 citations
• Classification of Ontario watersheds based on physical attributes and streamflow series (2013) — 73 citations
• Developments in hydrometric network design: A review (2009) — 320 citations
• Uncertainty analysis of statistical downscaling methods (2006) — 374 citations
• Uncertainty analysis of statistical downscaling methods using Canadian Global Climate Model predictors (2006) — 89 citations
• Artificial neural network modeling of water table depth fluctuations (2001) — 395 citations