Fast Regularized Least Squares and k-means Clustering Method for Intrusion Detection Systems. - Parisa Movahedi; Paavo Nevalainen; Markus Viljanen; Tapio Pahikkala (ICPRAM (2), 2015)

Spectral Analysis of Symmetric and Anti-Symmetric Pairwise Kernels. - Tapio Pahikkala; Markus Viljanen; Antti Airola; Willem Waegeman (CoRR, 2015)

Modelling user retention in mobile games. - Markus Viljanen; Antti Airola; Tapio Pahikkala; Jukka Heikkonen (CIG, 2016)

User activity decay in mobile games determined by simple differential equations? - Markus Viljanen; Antti Airola; Tapio Pahikkala; Jukka Heikkonen (CIG, 2016)

A/B-Test of Retention and Monetization Using the Cox Model. - Markus Viljanen; Antti Airola; Jukka Heikkonen; Tapio Pahikkala (AIIDE, 2017)

Playtime Measurement With Survival Analysis. - Markus Viljanen; Antti Airola; Jukka Heikkonen; Tapio Pahikkala (IEEE Trans. Games, 2018)

Predicting the monetization percentage with survival analysis in free-to-play games. - Riikka Numminen; Markus Viljanen; Tapio Pahikkala (CoG, 2019)

Predicting Expected Profit in Ongoing Peer-to-Peer Loans with Survival Analysis-Based Profit Scoring. - Ajay Byanjankar; Markus Viljanen (KES-IDT (1), 2019)

Predicting Profitability of Peer-to-Peer Loans with Recovery Models for Censored Data. - Markus Viljanen; Ajay Byanjankar; Tapio Pahikkala (KES-IDT, 2020)

Predicting Unemployment with Machine Learning Based on Registry Data. - Markus Viljanen; Tapio Pahikkala (RCIS, 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)

New Recommendation Algorithm for Implicit Data Motivated by the Multivariate Normal Distribution. - Markus Viljanen; Tapio Pahikkala (CoRR, 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)

llperm: a permutation of regressor residuals test for microbiome data. - Markus Viljanen; Hendriek C. Boshuizen (BMC Bioinform., 2022)

Generalized vec trick for fast learning of pairwise kernel models. - Markus Viljanen; Antti Airola; Tapio Pahikkala (Mach. Learn., 2022)

Bayesian Inference for Predicting the Monetization Percentage in Free-to-Play Games. - Riikka Numminen; Markus Juhani Viljanen; Tapio Pahikkala (IEEE Trans. Games, 2022)