Markus Viljanen

According to our database, Markus Viljanen authored at least 16 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Bayesian Inference for Predicting the Monetization Percentage in Free-to-Play Games.

Riikka Numminen, Markus Juhani Viljanen, Tapio Pahikkala

IEEE Trans. Games, 2022

Generalized vec trick for fast learning of pairwise kernel models.

Markus Viljanen, Antti Airola, Tapio Pahikkala

Mach. Learn., 2022

llperm: a permutation of regressor residuals test for microbiome data.

Markus Viljanen, Hendriek C. Boshuizen

BMC Bioinform., 2022

2020

Measuring Player Retention and Monetization Using the Mean Cumulative Function.

Markus Viljanen, Antti Airola, Anne-Maarit Majanoja, Jukka Heikkonen, Tapio Pahikkala

IEEE Trans. Games, 2020

New Recommendation Algorithm for Implicit Data Motivated by the Multivariate Normal Distribution.

Markus Viljanen, Tapio Pahikkala

CoRR, 2020

Content Based Player and Game Interaction Model for Game Recommendation in the Cold Start setting.

Markus Viljanen, Jukka Vahlo, Aki Koponen, Tapio Pahikkala

CoRR, 2020

Predicting Unemployment with Machine Learning Based on Registry Data.

Markus Viljanen, Tapio Pahikkala

Proceedings of the Research Challenges in Information Science, 2020

Predicting Profitability of Peer-to-Peer Loans with Recovery Models for Censored Data.

Markus Viljanen, Ajay Byanjankar, Tapio Pahikkala

Proceedings of the Intelligent Decision Technologies, 2020

2019

Predicting Expected Profit in Ongoing Peer-to-Peer Loans with Survival Analysis-Based Profit Scoring.

Ajay Byanjankar, Markus Viljanen

Proceedings of the Intelligent Decision Technologies 2019, 2019

Predicting the monetization percentage with survival analysis in free-to-play games.

Riikka Numminen, Markus Viljanen, Tapio Pahikkala

Proceedings of the IEEE Conference on Games, 2019

2018

Playtime Measurement With Survival Analysis.

Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala

IEEE Trans. Games, 2018

2017

A/B-Test of Retention and Monetization Using the Cox Model.

Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala

Proceedings of the Thirteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-17), 2017

2016

User activity decay in mobile games determined by simple differential equations?

Markus Viljanen, Antti Airola, Tapio Pahikkala, Jukka Heikkonen

Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

Modelling user retention in mobile games.

Markus Viljanen, Antti Airola, Tapio Pahikkala, Jukka Heikkonen

Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

2015

Spectral Analysis of Symmetric and Anti-Symmetric Pairwise Kernels.

Tapio Pahikkala, Markus Viljanen, Antti Airola, Willem Waegeman

CoRR, 2015

Fast Regularized Least Squares and k-means Clustering Method for Intrusion Detection Systems.

Parisa Movahedi, Paavo Nevalainen, Markus Viljanen, Tapio Pahikkala

Proceedings of the ICPRAM 2015, 2015