79 citations · 241 across the 27 of their papers we have counts for
8 papers · 1 filter
Competitive Influence Maximization: Integrating Budget Allocation and Seed Selection
Amirhossein Ansari, Masoud Dadgar, Ali Hamzeh +2
Today, many companies take advantage of viral marketing to promote their new products, and since there are several competing companies in many markets, Competitive Influence Maximi…
Parallel Total Variation Distance Estimation with Neural Networks for Merging Over-Clusterings
Christian Reiser, Jörg Schlötterer, Michael Granitzer
We consider the initial situation where a dataset has been over-partitioned into clusters and seek a domain independent way to merge those initial clusters. We identify the tot…
Policy Learning for Malaria Control
Van Bach Nguyen, Belaid Mohamed Karim, Bao Long Vu +2
Sequential decision making is a typical problem in reinforcement learning with plenty of algorithms to solve it. However, only a few of them can work effectively with a very small…
Structural Analysis of Sparse Neural Networks
Julian Stier, Michael Granitzer
Sparse Neural Networks regained attention due to their potential for mathematical and computational advantages. We give motivation to study Artificial Neural Networks (ANNs) from a…
Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs
Yvan Lucas, Pierre-Edouard Portier, Léa Laporte +4
Machine learning and data mining techniques have been used extensively in order to detect credit card frauds. However, most studies consider credit card transactions as isolated ev…
Dataset shift quantification for credit card fraud detection
Yvan Lucas, Pierre-Edouard Portier, Léa Laporte +4
Machine learning and data mining techniques have been used extensively in order to detect credit card frauds. However purchase behaviour and fraudster strategies may change over ti…
Multiple perspectives HMM-based feature engineering for credit card fraud detection
Yvan Lucas, Pierre-Edouard Portier, Léa Laporte +4
Machine learning and data mining techniques have been used extensively in order to detect credit card frauds. However, most studies consider credit card transactions as isolated ev…
Analysing Neural Network Topologies: a Game Theoretic Approach
Julian Stier, Gabriele Gianini, Michael Granitzer +1
Artificial Neural Networks have shown impressive success in very different application cases. Choosing a proper network architecture is a critical decision for a network's success,…