Chatterjee, S.; Das, A.; Mandal, C.; Mukhopadhyay, B.; Vipinraj, M.; Shukla, A.; Nagaraja Rao, R.; Sarasaen, C.; Speck, O.; Nürnberger, A.
TorchEsegeta: Framework for Interpretability and Explainability of Image-Based Deep Learning Models. Appl. Sci. 2022, 12, 1834.
https://doi.org/10.3390/app12041834
AMA Style
Chatterjee S, Das A, Mandal C, Mukhopadhyay B, Vipinraj M, Shukla A, Nagaraja Rao R, Sarasaen C, Speck O, Nürnberger A.
TorchEsegeta: Framework for Interpretability and Explainability of Image-Based Deep Learning Models. Applied Sciences. 2022; 12(4):1834.
https://doi.org/10.3390/app12041834
Chicago/Turabian Style
Chatterjee, Soumick, Arnab Das, Chirag Mandal, Budhaditya Mukhopadhyay, Manish Vipinraj, Aniruddh Shukla, Rajatha Nagaraja Rao, Chompunuch Sarasaen, Oliver Speck, and Andreas Nürnberger.
2022. "TorchEsegeta: Framework for Interpretability and Explainability of Image-Based Deep Learning Models" Applied Sciences 12, no. 4: 1834.
https://doi.org/10.3390/app12041834
APA Style
Chatterjee, S., Das, A., Mandal, C., Mukhopadhyay, B., Vipinraj, M., Shukla, A., Nagaraja Rao, R., Sarasaen, C., Speck, O., & Nürnberger, A.
(2022). TorchEsegeta: Framework for Interpretability and Explainability of Image-Based Deep Learning Models. Applied Sciences, 12(4), 1834.
https://doi.org/10.3390/app12041834