Case Study: Modeling Risk in Health Insurance - A Data Mining Approach. - Inna Kolyshkina; Richard Brookes (AusDM, 2002)

Text Mining for Insurance Claim Cost Prediction. - Inna Kolyshkina; Marcel van Rooyen (Selected Papers from AusDM, 2006)

Customer Analytics Projects: Addressing Existing Problems with a Process that Leads to Success. - Inna Kolyshkina; Simeon J. Simoff (AusDM, 2007)

Improving Every Child's Chance in Life. - Inna Kolyshkina; Marcus Brownlow; Jarrad Taylor (ICDM Workshops, 2013)

Interpretability of Machine Learning Solutions in Industrial Decision Engineering. - Inna Kolyshkina; Simeon Simoff (AusDM, 2019)

Comprehensibility for Decision Intelligence Engineering. - Inna Kolyshkina; Simeon Simoff (ICDM (Posters), 2019)

The CRISP-ML Approach to Handling Causality and Interpretability Issues in Machine Learning. - Inna Kolyshkina; Simeon Simoff (IEEE BigData, 2021)

Interpretability of Machine Learning Solutions in Public Healthcare: The CRISP-ML Approach. - Inna Kolyshkina; Simeon Simoff (Frontiers Big Data, 2021)