Classification of imbalanced cloud image data using deep neural networks: performance improvement through a data science competition

WeatherBench: A benchmark dataset for data‐driven weather forecasting

(2020) Stephan Rasp et al.   Journal of Advances in Modeling Earth Systems

Tropical Cyclone Intensity Estimation Using a Deep Convolutional Neural Network

(2018) Ritesh Pradhan et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Focal loss for dense object detection

(2018) Tsung-Yi Lin et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Deep learning approach for detecting tropical cyclones and their precursors in the simulation by a cloud-resolving global nonhydrostatic atmospheric model

(2018) Daisuke Matsuoka et al.   Progress in Earth and Planetary Science

Response of Tropical Cyclone Activity and Structure to Global Warming in a High-Resolution Global Nonhydrostatic Model

(2017) Yohei Yamada et al.   JOURNAL OF CLIMATE

Intraseasonal variability and tropical cyclogenesis in the western North Pacific simulated by a global nonhydrostatic atmospheric model

(2015) Masuo Nakano et al.   GEOPHYSICAL RESEARCH LETTERS

A 20-Year Climatology of a NICAM AMIP-Type Simulation

(2015) Chihiro KODAMA et al.   JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

CLASSIFICATION OF IMBALANCED DATA: A REVIEW

(2009) YANMIN SUN et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE