Emmanuel John Muico Carranza
Artificial Intelligence · 2000–2019
A researcher in the Science corpus: 10 papers; trusts 27 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 47 citations into it; #9,082 of 35,345 by trust here, #19,873 by citations
- Computer Vision and Pattern Recognition — 34 citations into it
- Media Technology — 25 citations into it
- Environmental Engineering — 17 citations into it
- Representation & Self-Supervised Learning — 16 citations into it
- Model Architectures — 15 citations into it
- Statistics and Probability — 11 citations into it
- Atmospheric Science — 10 citations into it
Whom Emmanuel John Muico Carranza trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Leo Breiman
- Daniel J. Stekhoven
- Jürgen Symanzik
- Peter Buhlmann
- Trevor J. Hastie
- Vladimir Naumovich Vapni
- Thorsten Joachims
- Thais Mayumi Oshiro
- Tomislav Hengl
- Bin Yu
Who trusts Emmanuel John Muico Carranza overall
- Renguang Zuo
- Victor Francisco Rodriguez-Galiano
- Mehrdad Daviran
- Alice G. Laborte
- Manuel Sanchez-Castillo
- Abbas Maghsoudi
- Mario Chica-Olmo
- D. Cohen
- Mario Chica-Rivas
- Reza Ghezelbash
Papers from Emmanuel John Muico Carranza's perspective
Ordered by how strongly the researchers Emmanuel John Muico Carranza trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Random Forests
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Bagging Predictors
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Deep learning and its application in geochemical mapping (2019) — 365 citations
- Prediction-area (P-A) plot and C-A fractal analysis to classify and evaluate evidential maps for mineral prospectivity modeling (2015) — 340 citations
- Random forest predictive modeling of mineral prospectivity with small number of prospects and data with missing values in Abra (Philippines) (2015) — 350 citations
- Geochemical Anomaly and Mineral Prospectivity Mapping in Gis (2012) — 652 citations
- Support vector machine: A tool for mapping mineral prospectivity (2011) — 478 citations
- Similarity measures for spectral discrimination of salt‐affected soils (2007) — 53 citations
- Quantitative analysis of salt-affected soil reflectance spectra: A comparison of two adaptive methods (PLSR and ANN) (2007) — 425 citations
- A Hybrid Fuzzy Weights-of-Evidence Model for Mineral Potential Mapping (2006) — 157 citations
- Optimal field sampling for targeting minerals using hyperspectral data (2005) — 83 citations
- Geologically Constrained Probabilistic Mapping of Gold Potential, Baguio District, Philippines (2000) — 105 citations