PUBLICATIONS
2026
Olumide Onabanjo, Theo Meuwissen, Hans Magnus Gjøen, Fadi Al Machot, Maren van Son, Peer Berg, Genomic prediction of feed efficiency in boars by deep learning, G3: Genes, Genomes, Genetics, 2026.
2025
Rusith Chamara Hathurusinghe Dewage, Habib Ullah, Muhammad Salman Siddiqui, Rakibul Islam, Fadi Al Machot, Uncertainty Estimation and Calibration of a Few-Shot Transfer Learning Model for Lettuce Phenotyping, 7th International Conference on Knowledge Discovery and Information Retrieval (KDIR), 2025.
Rusith Chamara Hathurusinghe Dewage, Habib Ullah, Muhammad Salman Siddiqui, Rakibul Islam, Fad Al Machot, A Representative Sampling Approach to Few-Shot Transfer Learning, Norwegian ICT Conference for Research and Education, 2025.
Mahrin Tasfe, AKM Nivrito, Fadi Al Machot, Mohib Ullah, Faouzi Alaya Cheikh, and Habib Ullah, Deep Learning-Based Models for Paddy Disease Classification and Segmentation: An Experimental Review, IEEE Access, 2025.
2024
Mahrin Tasfe, AKM Nivrito, Fadi Al Machot, Mohib Ullah, Habib Ullah, Deep Learning based Models for Paddy Disease Identification and Classification: A Systematic Survey, IEEE Access, 2024.
2023
Dominik Kopczynski, Daniel Krause, Fadi Al Machot, Dominik Schwudke, Nils Hoffmann, Robert Ahrends, The Past and Future of Lipidomics Bioinformatics, Mass Spectrometry for Lipidomics: Methods and Applications, Wiley‐VCH GmbH, 2023.
2022
Nils Hoffmann, Gerhard Mayer, Canan Has, Dominik Kopczynski, Fadi Al Machot, Dominik Schwudke, Robert Ahrends, Katrin Marcus, Martin Eisenacher, Michael Turewicz, A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics, Metabolites, 2022.