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Werner van Ipenburg
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2020 – today
- 2022
- [j1]Yulong Pei, Tianjin Huang, Werner van Ipenburg, Mykola Pechenizkiy:
ResGCN: attention-based deep residual modeling for anomaly detection on attributed networks. Mach. Learn. 111(2): 519-541 (2022) - 2021
- [c5]Akrati Saxena, Yulong Pei, Jan Veldsink, Werner van Ipenburg, George Fletcher, Mykola Pechenizkiy:
The banking transactions dataset and its comparative analysis with scale-free networks. ASONAM 2021: 283-296 - [c4]Yulong Pei, Tianjin Huang, Werner van Ipenburg, Mykola Pechenizkiy:
ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks. DSAA 2021: 1-2 - [i5]Akrati Saxena, Yulong Pei, Jan Veldsink, Werner van Ipenburg, George Fletcher, Mykola Pechenizkiy:
The Banking Transactions Dataset and its Comparative Analysis with Scale-free Networks. CoRR abs/2109.10703 (2021) - 2020
- [c3]Yulong Pei, Fang Lyu, Werner van Ipenburg, Mykola Pechenizkiy:
Subgraph anomaly detection in financial transaction networks. ICAIF 2020: 18:1-18:8 - [i4]Yulong Pei, Tianjin Huang, Werner van Ipenburg, Mykola Pechenizkiy:
ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks. CoRR abs/2009.14738 (2020)
2010 – 2019
- 2019
- [i3]Hilde J. P. Weerts, Werner van Ipenburg, Mykola Pechenizkiy:
A Human-Grounded Evaluation of SHAP for Alert Processing. CoRR abs/1907.03324 (2019) - [i2]Hilde J. P. Weerts, Werner van Ipenburg, Mykola Pechenizkiy:
Case-Based Reasoning for Assisting Domain Experts in Processing Fraud Alerts of Black-Box Machine Learning Models. CoRR abs/1907.03334 (2019) - 2018
- [c2]Simon van der Zon, Wouter Duivesteijn, Werner van Ipenburg, Jan Veldsink, Mykola Pechenizkiy:
ICIE 1.0: A Novel Tool for Interactive Contextual Interaction Explanations. MIDAS/PAP@PKDD/ECML 2018: 81-94 - [i1]Wenting Xiong, Iftitahu Ni'mah, Juan M. G. Huesca, Werner van Ipenburg, Jan Veldsink, Mykola Pechenizkiy:
Looking Deeper into Deep Learning Model: Attribution-based Explanations of TextCNN. CoRR abs/1811.03970 (2018) - 2017
- [c1]Simon van der Zon, Oren Zeev-Ben-Mordehai, Tom Vrijdag, Werner van Ipenburg, Wouter Duivesteijn, Jan Veldsink, Mykola Pechenizkiy:
BoostEMM - Transparent Boosting using Exceptional Model Mining. MIDAS@PKDD/ECML 2017: 5-16
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