Jan Veldsink

According to our database, Jan Veldsink authored at least 6 papers between 2017 and 2024.

Collaborative distances:

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

2024

Privacy-preserving Anti-Money Laundering using Secure Multi-Party Computation.

Marie Beth van Egmond, Vincent Dunning, Stefan van den Berg, Thomas Rooijakkers, Alex Sangers, Ton Poppe, Jan Veldsink

IACR Cryptol. ePrint Arch., 2024

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

2018

Secure multiparty PageRank algorithm for collaborative fraud detection.

Alex Sangers, Maran van Heesch, Thomas Attema, Thijs Veugen, Mark Wiggerman, Jan Veldsink, Oscar Bloemen, Daniël Worm

IACR Cryptol. ePrint Arch., 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