BoostEMM - Transparent Boosting using Exceptional Model Mining. - Simon van der Zon; Oren Zeev-Ben-Mordehai; Tom Vrijdag; Werner van Ipenburg; Wouter Duivesteijn; Jan Veldsink; Mykola Pechenizkiy (MIDAS@PKDD/ECML, 2017)

ICIE 1.0: A Novel Tool for Interactive Contextual Interaction Explanations. - Simon van der Zon; Wouter Duivesteijn; Werner van Ipenburg; Jan Veldsink; Mykola Pechenizkiy (MIDAS/PAP@PKDD/ECML, 2018)

Looking Deeper into Deep Learning Model: Attribution-based Explanations of TextCNN. - Wenting Xiong; Iftitahu Ni'mah; Juan M. G. Huesca; Werner van Ipenburg; Jan Veldsink; Mykola Pechenizkiy (CoRR, 2018)

A Human-Grounded Evaluation of SHAP for Alert Processing. - Hilde J. P. Weerts; Werner van Ipenburg; Mykola Pechenizkiy (CoRR, 2019)

Case-Based Reasoning for Assisting Domain Experts in Processing Fraud Alerts of Black-Box Machine Learning Models. - Hilde J. P. Weerts; Werner van Ipenburg; Mykola Pechenizkiy (CoRR, 2019)

Subgraph anomaly detection in financial transaction networks. - Yulong Pei; Fang Lyu; Werner van Ipenburg; Mykola Pechenizkiy (ICAIF, 2020)

The banking transactions dataset and its comparative analysis with scale-free networks. - Akrati Saxena; Yulong Pei; Jan Veldsink; Werner van Ipenburg; George Fletcher 001; Mykola Pechenizkiy (ASONAM, 2021)

ResGCN: attention-based deep residual modeling for anomaly detection on attributed networks. - Yulong Pei; Tianjin Huang; Werner van Ipenburg; Mykola Pechenizkiy (Mach. Learn., 2022)