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

544 citations

Showing 2021Show all

10 papers · 1 filter

physics.chem-ph2021★ 50 cited

BuRNN: Buffer Region Neural Network Approach for Polarizable-Embedding Neural Network / Molecular Mechanics Simulations

Bettina Lier, Peter Poliak, Philipp Marquetand +2

Hybrid quantum mechanics/molecular mechanics (QM/MM) simulations have advanced the field of computational chemistry tremendously. However, they require the partitioning of a system…

cs.AI2021★ 40 cited

Graph-guided random forest for gene set selection

Bastian Pfeifer, Hubert Baniecki, Anna Saranti +2

Machine learning methods can detect complex relationships between variables, but usually do not exploit domain knowledge. This is a limitation because in many scientific discipline…

stat.AP2021★ 3 cited

Explaining the decline of US wind output power density

Peter Regner, Katharina Gruber, Sebastian Wehrle +1

US wind power generation has grown significantly over the last decades, in line with the number and average size of operating turbines. However, wind power density has declined, bo…

cs.CY2021★ 232 cited

Nature-based solutions in the urban context: terminology, classification and scoring for urban challenges and ecosystem services

Joana. A. C. Castellar, Lucia . A. Popartan, Josep Pueyo-Ros +6

The concept of Nature-Based Solutions (NBS) has emerged to foster sustainable development by transversally addressing social, economic, and environmental urban challenges. However,…

cs.GT2021★ 8 cited

Computational Performance of Deep Reinforcement Learning to find Nash Equilibria

Christoph Graf, Viktor Zobernig, Johannes Schmidt +1

We test the performance of deep deterministic policy gradient (DDPG), a deep reinforcement learning algorithm, able to handle continuous state and action spaces, to learn Nash equi…

cs.GR2021★ 1 cited

A Review of the State-of-the-Art on Tours for Dynamic Visualization of High-dimensional Data

Stuart Lee, Dianne Cook, Natalia da Silva +4

This article discusses a high-dimensional visualization technique called the tour, which can be used to view data in more than three dimensions. We review the theory and history be…