output
19952025
most citedExplainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions

544 citations

Showing 2020Show all

7 papers · 1 filter

cs.CV2020★ 247 cited

Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources

S. Salcedo-Sanz, P. Ghamisi, M. Piles +7

This paper reviews the most important information fusion data-driven algorithms based on Machine Learning (ML) techniques for problems in Earth observation. Nowadays we observe and…

physics.ao-ph2020★ 79 cited

Gaussian Processes Retrieval of LAI from Sentinel-2 Top-of-Atmosphere Radiance Data

Jose Estevez, Jorge Vicent, Juan Pablo Rivera-Caicedo +6

Retrieval of vegetation properties from satellite and airborne optical data usually takes place after atmospheric correction, yet it is also possible to develop retrieval algorithm…

astro-ph.SR2020★ 31 cited

Parameter study for the burst mode of accretion in massive star formation

D. M. -A. Meyer, E. I. Vorobyov, V. G. Elbakyan +3

It is now a widely held view that, in their formation and early evolution, stars build up mass in bursts. The burst mode of star formation scenario proposes that the stars grow in…

cond-mat.mtrl-sci2020★ 52 cited

In-Situ Visualization of Long-Range Defect Interactions at the Edge of Melting

Leora E. Dresselhaus-Marais, Grethe Winther, Marylesa Howard +9

Connecting a bulk material's microscopic defects to its macroscopic properties is an age-old problem in materials science. Long-range interactions between dislocations (line defect…

econ.GN2020★ 23 cited

The Cost of Undisturbed Landscapes

Sebastian Wehrle, Johannes Schmidt, Christian Mikovits

By 2030 Austria aims to meet 100% of its electricity demand from domestic renewable sources, with most of the additional generation coming from wind and solar energy. Apart from th…

stat.CO2020★ 9 cited

Hole or grain? A Section Pursuit Index for Finding Hidden Structure in Multiple Dimensions

Ursula Laa, Dianne Cook, Andreas Buja +1

Multivariate data is often visualized using linear projections, produced by techniques such as principal component analysis, linear discriminant analysis, and projection pursuit. A…