1. Holzinger A, Kieseberg P, Weippl E, Tjoa AM (2018) Current advances, trends and challenges of machine learning and knowledge extraction: from machine learning to explainable AI. In: Machine learning and knowledge extraction: second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 international cross-domain conference, CD-MAKE 2018, Hamburg, Germany, 27–30 Aug 2018, Proceedings 2. Springer, pp 1–8
2. Arrieta AB, Díaz-Rodríguez N, Del Ser J, Bennetot A, Tabik S, Barbado A, García S, Gil-López S, Molina D, Benjamins R, Chatila R (2020) Explainable artificial intelligence (XAI): concepts, taxonomies, opportunities and challenges toward responsible AI. Inf Fusion 58:82–115
3. Chen Y, Zhang J, Han J (2004) A support vector machine approach to drug classification. J Cheminf 6(1):1
4. Zhang J, Han J, Chen Y (2008) Classification of drugs into therapeutic classes using neural networks. J Cheminf 10(1):1
5. Wang N, Chen Y, Zhang J, Han J (2018) Drug classification using deep convolutional neural network. Bioinformatics 34(19):3029–3036