Kernel Methods and their derivatives: Concept and perspectives for the
Earth system sciences

v1v2 (latest)

Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences

29 July 2020

Adrián Pérez-Suay

Miguel D. Mahecha

Gustau Camps-Valls

ArXiv (abs)PDF HTML

Papers citing "Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences"

9 / 9 papers shown

Title
Gaussian Derivative Change-point Detection for Early Warnings of Industrial System Failures Hao Zhao Rong Pan 97 1 0 29 Oct 2024
Terrain-Aware Model Predictive Control of Heterogeneous Bipedal and Aerial Robot Coordination for Search and Rescue Tasks Abdulaziz Shamsah Jesse Jiang Ziwon Yoon Samuel Coogan Ye Zhao 53 2 0 23 Sep 2024
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges Gustau Camps-Valls Miguel-Ángel Fernández-Torres Kai-Hendrik Cohrs Adrian Höhl A. Castelletti ... S. Salcedo-Sanz S. Sippel Spyros Kondylatos Tamara Happé T. Williams 68 1 0 28 Jun 2024
Quantum AI for Alzheimer's disease early screening Giacomo Cappiello Filippo Caruso 54 1 0 01 May 2024
Active Learning for Abrupt Shifts Change-point Detection via Derivative-Aware Gaussian Processes Hao Zhao Rong Pan 51 1 0 05 Dec 2023
Artificial intelligence to advance Earth observation: a perspective D. Tuia Konrad Schindler Begüm Demir Gustau Camps-Valls Xiao Xiang Zhu ... Mihai Datcu Jorge-Arnulfo Quiané-Ruiz Volker Markl Bertrand Le Saux Rochelle Schneider 122 12 0 15 May 2023
Variational Quantum Kernels with Task-Specific Quantum Metric Learning Daniel T. Chang 71 1 0 08 Nov 2022
Parameterized Quantum Circuits with Quantum Kernels for Machine Learning: A Hybrid Quantum-Classical Approach Daniel T. Chang 73 5 0 28 Sep 2022
Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing Ioannis Kakogeorgiou Konstantinos Karantzalos XAI 60 120 0 03 Apr 2021