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cs.CV2023
Enhancing Post-Hoc Explanation Benchmark Reliability for Image Classification
Tristan Gomez, Harold Mouchère
Deep neural networks, while powerful for image classification, often operate as "black boxes," complicating the understanding of their decision-making processes. Various explanatio…
cs.CV2022
Comparison of attention models and post-hoc explanation methods for embryo stage identification: a case study
Tristan Gomez, Thomas Fréour, Harold Mouchère
An important limitation to the development of AI-based solutions for In Vitro Fertilization (IVF) is the black-box nature of most state-of-the-art models, due to the complexity of…