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ORCIDMarkus Viljanen
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2020 – today
- 2022
[j5]Markus Viljanen, Hendriek C. Boshuizen:
llperm: a permutation of regressor residuals test for microbiome data. BMC Bioinform. 23(1): 540 (2022)- [j4]Markus Viljanen, Antti Airola
, Tapio Pahikkala:
Generalized vec trick for fast learning of pairwise kernel models. Mach. Learn. 111(2): 543-573 (2022) - [j3]Riikka Numminen, Markus Juhani Viljanen, Tapio Pahikkala:
Bayesian Inference for Predicting the Monetization Percentage in Free-to-Play Games. IEEE Trans. Games 14(1): 13-22 (2022) - 2020
- [j2]Markus Viljanen, Antti Airola, Anne-Maarit Majanoja, Jukka Heikkonen, Tapio Pahikkala:
Measuring Player Retention and Monetization Using the Mean Cumulative Function. IEEE Trans. Games 12(1): 101-114 (2020) - [c8]Markus Viljanen, Ajay Byanjankar, Tapio Pahikkala:
Predicting Profitability of Peer-to-Peer Loans with Recovery Models for Censored Data. KES-IDT 2020: 15-25 - [c7]Markus Viljanen, Tapio Pahikkala:
Predicting Unemployment with Machine Learning Based on Registry Data. RCIS 2020: 352-368 - [i5]Markus Viljanen, Antti Airola, Tapio Pahikkala:
Generalized vec trick for fast learning of pairwise kernel models. CoRR abs/2009.01054 (2020) - [i4]Markus Viljanen, Jukka Vahlo, Aki Koponen, Tapio Pahikkala:
Content Based Player and Game Interaction Model for Game Recommendation in the Cold Start setting. CoRR abs/2009.08947 (2020) - [i3]Markus Viljanen, Tapio Pahikkala:
New Recommendation Algorithm for Implicit Data Motivated by the Multivariate Normal Distribution. CoRR abs/2012.11480 (2020)
2010 – 2019
- 2019
- [c6]Riikka Numminen, Markus Viljanen, Tapio Pahikkala:
Predicting the monetization percentage with survival analysis in free-to-play games. CoG 2019: 1-8 - [c5]Ajay Byanjankar, Markus Viljanen:
Predicting Expected Profit in Ongoing Peer-to-Peer Loans with Survival Analysis-Based Profit Scoring. KES-IDT (1) 2019: 15-26 - 2018
- [j1]Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala:
Playtime Measurement With Survival Analysis. IEEE Trans. Games 10(2): 128-138 (2018) - 2017
- [c4]Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala:
A/B-Test of Retention and Monetization Using the Cox Model. AIIDE 2017: 248-254 - [i2]Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala:
Playtime Measurement with Survival Analysis. CoRR abs/1701.02359 (2017) - 2016
- [c3]Markus Viljanen, Antti Airola, Tapio Pahikkala, Jukka Heikkonen:
Modelling user retention in mobile games. CIG 2016: 1-8 - [c2]Markus Viljanen, Antti Airola, Tapio Pahikkala, Jukka Heikkonen:
User activity decay in mobile games determined by simple differential equations? CIG 2016: 1-8 - 2015
- [c1]Parisa Movahedi, Paavo Nevalainen, Markus Viljanen, Tapio Pahikkala:
Fast Regularized Least Squares and k-means Clustering Method for Intrusion Detection Systems. ICPRAM (2) 2015: 264-269 - [i1]Tapio Pahikkala, Markus Viljanen, Antti Airola, Willem Waegeman:
Spectral Analysis of Symmetric and Anti-Symmetric Pairwise Kernels. CoRR abs/1506.05950 (2015)
Coauthor Index
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