Joannes D. Maasakkers

According to our database, Joannes D. Maasakkers authored at least 4 papers between 2025 and 2026.

Collaborative distances:

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

2026

Explainable Comparison of Feature-Based and Deep Learning Models for TROPOMI Methane Plume Screening.

Solomiia Kurchaba, Joannes D. Maasakkers, Berend J. Schuit, Ilse Aben

CoRR, May, 2026

2025

Carbon monoxide plume detection dataset for machine learning.

Julia Wasala, Joannes D. Maasakkers, Gijs Leguijt, Mitra Baratchi, Rochelle Schneider, Holger H. Hoos, Ilse Aben, Berend J. Schuit

Dataset, September, 2025

AutoMergeNet: AutoML-Based M-Source Satellite Data Fusion Evaluated With Atmospheric Case Studies.

Julia Wasala, Joannes D. Maasakkers, Berend J. Schuit, Gijs Leguijt, Ilse Aben, Rochelle Schneider, Holger H. Hoos, Mitra Baratchi

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Mitigating Representation Bias Caused by Missing Pixels in Methane Plume Detection.

Julia Wasala, Joannes D. Maasakkers, Ilse Aben, Rochelle Schneider, Holger H. Hoos, Mitra Baratchi

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025