Antonios Mamalakis

According to our database, Antonios Mamalakis authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Solving the enigma: Deriving optimal explanations of deep networks.

Michail Mamalakis, Antonios Mamalakis, Ingrid Agartz, Lynn Egeland Mørch-Johnsen, Graham K. Murray, John Suckling, Pietro Lio

CoRR, 2024

2022

Carefully choose the baseline: Lessons learned from applying XAI attribution methods for regression tasks in geoscience.

Antonios Mamalakis, Elizabeth A. Barnes, Imme Ebert-Uphoff

CoRR, 2022

Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscience.

Antonios Mamalakis, Elizabeth A. Barnes, Imme Ebert-Uphoff

CoRR, 2022

2021

Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset.

Antonios Mamalakis, Imme Ebert-Uphoff, Elizabeth A. Barnes

CoRR, 2021

2020

Rotated spectral principal component analysis (rsPCA) for identifying dynamical modes of variability in climate systems.

Clément Guilloteau, Antonios Mamalakis, Lawrence Vulis, Tryphon T. Georgiou, Efi Foufoula-Georgiou

CoRR, 2020

Explainable Artificial Intelligence in Meteorology and Climate Science: Model Fine-Tuning, Calibrating Trust and Learning New Science.

Antonios Mamalakis, Imme Ebert-Uphoff, Elizabeth A. Barnes

Proceedings of the xxAI - Beyond Explainable AI, 2020