Takashi Oozeki

Artificial Intelligence · 2009–2018

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it

Whom Takashi Oozeki trusts overall

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

1. Chih-Jen Lin
2. Vladimir Naumovich Vapni
3. Adel Mellit

Who trusts Takashi Oozeki overall

1. Javier Antoñanzas

Papers from Takashi Oozeki's perspective

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

1. LIBSVM: A library for support vector machines
2. Predicting Time Series with Support Vector Machines
3. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
4. Artificial intelligence techniques for photovoltaic applications: A review
5. Gradient-based learning applied to document recognition
6. Regression Shrinkage and Selection via the Lasso
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Support-Vector Networks
9. Learning Multiple Layers of Features from Tiny Images
10. A training algorithm for optimal margin classifiers

Their papers

• Regional forecasts and smoothing effect of photovoltaic power generation in Japan: An approach with principal component analysis (2014) — 60 citations
• Modeling of uncertainty of solar irradiance forecasts on numerical weather predictions with the estimation of multiple confidence intervals (2018) — 61 citations
• Use of support vector regression and numerically predicted cloudiness to forecast power output of a photovoltaic power plant in Kitakyushu, Japan (2012) — 152 citations
• Experimental studies of fault location in PV module strings (2009) — 179 citations