Octavio Loyola-González
Artificial Intelligence · 2016–2019
A researcher in the Science corpus: 9 papers; trusts 486 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 153 citations into it; #13,304 of 35,345 by trust here, #18,586 by citations
- Computer Vision and Pattern Recognition — 71 citations into it
- Information Systems — 71 citations into it
- Signal Processing — 36 citations into it
- Computational Theory and Mathematics — 28 citations into it
- Generative Models — 24 citations into it
- Evaluation & Benchmarks — 19 citations into it
- Computer Networks and Communications — 18 citations into it
Whom Octavio Loyola-González trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Rudin
- Jaka Demsar
- Milton García-Borroto
- Leo Breiman
- Aiko M. Hormann
- Karen Simonyan
- J. Ross Quinlan
- Christopher K. I. Williams
- Yann LeCun
- Geoffrey E. Hinton
Who trusts Octavio Loyola-González overall
- Azal Ahmad Khan
- Raúl Monroy
- Alejandro Barredo Arrieta
- Omkar Chaudhari
- Miguel Angel Medina-Pérez
- Alicja Gosiewska
- Rohitash Chandra
- Guozhu Dong
- Dayton Hernández-Tamayo
- J. A. Carrasco-Ochoa
Papers from Octavio Loyola-González's perspective
Ordered by how strongly the researchers Octavio Loyola-González trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Black-Box vs. White-Box: Understanding Their Advantages and Weaknesses From a Practical Point of View (2019) — 464 citations
- Study of the impact of resampling methods for contrast pattern based classifiers in imbalanced databases (2016) — 173 citations
- PBC4cip: A new contrast pattern-based classifier for class imbalance problems (2017) — 73 citations
- Fusing pattern discovery and visual analytics approaches in tweet propagation (2019) — 30 citations
- A Review of Fingerprint Feature Representations and Their Applications for Latent Fingerprint Identification: Trends and Evaluation (2019) — 66 citations
- Contrast Pattern-Based Classification for Bot Detection on Twitter (2019) — 65 citations
- A Pattern-Based Approach for Detecting Pneumatic Failures on Temporary Immersion Bioreactors (2019) — 12 citations
- Effect of class imbalance on quality measures for contrast patterns: An experimental study (2016) — 17 citations
- Detecting Pneumatic Failures on Temporary Immersion Bioreactors (2016) — 3 citations