Reply to Pastore, E.P. Comment on “Korkmaz et al. A Deep Learning and Explainable AI-Based Approach for the Classification of Discomycetes Species. Biology 2025, 14, 719”
Year: 2026
Type: letter
Abstract: The comment raises three principal themes: (i) safeguarding statistical independence through grouping at the level of specimen/collector/site prior to splitting, (ii) preventing selection bias via fully nested preprocessing and hyperparameter tuning, and (iii) assessing shortcut learning and reporting probability calibration for decision thresholding in ecological workflows [...].
Source: Biology
Authors: Aras Fahrettin Korkmaz, Fatih Ekinci, Şehmus Altaş, Eda Kumru, Mehmet Serdar Güzel, Ilgaz Akata
Institutions: Istanbul Kültür University, Ankara University
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,258
OpenAlex ID: W7118724679