Werner van Ipenburg

According to our database, Werner van Ipenburg authored at least 8 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

ResGCN: attention-based deep residual modeling for anomaly detection on attributed networks.

Yulong Pei, Tianjin Huang, Werner van Ipenburg, Mykola Pechenizkiy

Mach. Learn., 2022

2021

The banking transactions dataset and its comparative analysis with scale-free networks.

Akrati Saxena, Yulong Pei, Jan Veldsink, Werner van Ipenburg, George Fletcher, Mykola Pechenizkiy

Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020

Subgraph anomaly detection in financial transaction networks.

Yulong Pei, Fang Lyu, Werner van Ipenburg, Mykola Pechenizkiy

Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

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

A Human-Grounded Evaluation of SHAP for Alert Processing.

Hilde J. P. Weerts, Werner van Ipenburg, Mykola Pechenizkiy

CoRR, 2019

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

ICIE 1.0: A Novel Tool for Interactive Contextual Interaction Explanations.

Simon van der Zon, Wouter Duivesteijn, Werner van Ipenburg, Jan Veldsink, Mykola Pechenizkiy

Proceedings of the ECML PKDD 2018 Workshops, 2018

2017

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

Proceedings of the Second Workshop on MIning DAta for financial applicationS (MIDAS 2017) co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), 2017