José Carlos Príncipe
Artificial Intelligence · 1990–2018
A researcher in the Science corpus: 30 papers; trusts 111 researchers and is trusted by 56 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 48 citations into it; #4,490 of 35,345 by trust here, #8,365 by citations
- Computer Vision and Pattern Recognition — 35 citations into it; #5,994 of 21,575 by trust here, #11,721 by citations
- Cognitive Neuroscience — 30 citations into it; #10,435 of 10,852 by trust here, #4,443 by citations
- Statistical Learning Theory — 25 citations into it
- Model Architectures — 24 citations into it
- Signal Processing — 22 citations into it; #949 of 7,572 by trust here, #1,460 by citations
- Statistics and Probability — 21 citations into it
- Control and Systems Engineering — 19 citations into it; #2,861 of 8,257 by trust here, #5,227 by citations
Whom José Carlos Príncipe trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Deniz Erdoğmuş
- Bernard Walter Silverman
- Anthony J. Bell
- Kari Torkkola
- Bernhard Schölkopf
- Jianbo Shi
- Vladimir Naumovich Vapni
- Alex Smola
- Andrew Y. Ng
- P. S. Ramirez
Who trusts José Carlos Príncipe overall
- Badong Chen
- Weifeng Liu
- Jorge R. Vergara
- Ran He
- Puskal P. Pokharel
- A. Green
- Sepp Hochreiter
- Pablo A. Estévez
- Somayeh Danafar
- Lei Xing
Papers from José Carlos Príncipe's perspective
Ordered by how strongly the researchers José Carlos Príncipe 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Information Theoretic Clustering (2002) — 331 citations
- Kernel Learning for Dynamic Texture Synthesis (2016) — 38 citations
- Information Theoretic Learning (2005) — 851 citations
- Analysis and Design of Echo State Networks (2007) — 326 citations
- Man/machine interface based on the discharge timings of spinal motor neurons after targeted muscle reinnervation (2017) — 311 citations
- Weighted-permutation entropy: a complexity measure for time series incorporating amplitude information. (2013) — 415 citations
- An Association Framework to Analyze Dependence Structure in Time Series (2012) — 22 citations
- A Generalized Methodology for Data Analysis (2018) — 71 citations
- Robust support vector machines based on the rescaled hinge loss function (2017) — 120 citations
- Generalized Correntropy for Robust Adaptive Filtering (2015) — 672 citations
- Steady-State Mean-Square Error Analysis for Adaptive Filtering under the Maximum Correntropy Criterion (2014) — 415 citations
- Quantized Kernel Least Mean Square Algorithm (2012) — 400 citations
- Kernel Adaptive Filtering: A Comprehensive Introduction (2010) — 630 citations
- Kernel Least‐Mean‐Square Algorithm (2010) — 327 citations
- Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives (2010) — 482 citations
- Adaptive and Learning Systems for Signal Processing, Communication, and Control (2010) — 303 citations
- The design and analysis of information processing systems ] From Linear Adaptive Filtering to Nonlinear Information Processing (2009)
- The Kernel Least-Mean-Square Algorithm (2008) — 305 citations
- Correntropy: Properties and Applications in Non-Gaussian Signal Processing (2007) — 1,555 citations
- 14 FROM LINEAR ADAPTIVE FILTERING TO NONLINEAR INFORMATION PROCESSING (2006) — 34 citations