Publications

Selected highlight publications

• J. Sakaya and A. Klami. Importance Sampled Stochastic Optimization for Variational Inference. Proceedings of Uncertainty for Artificial Intelligence, 2017.
• A. Klami and A. Jitta. Probabilistic size-constrained microclustering. Proceedings of Uncertainty for Artificial Intelligence, 2016.
• J. Leinonen, K. Longi, A. Klami and A. Vihavainen. Automatic inference of programming performance and experience from typing patterns. Proceedings of 47th ACM Technical Symposium on Computing Science Education, 2016.
• A. Klami, S.Virtanen, E. Leppäaho and S. Kaski. Group Factor Analysis. IEEE Transactions on Neural Networks and Learning Systems, 26(9):2136-2147, 2015.
• J-P. Kauppi, M. Kandemir, V-M. Saarinen, L. Hirvenkari, L. Parkkonen, A. Klami, R. Hari and S. Kaski. Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals. NeuroImage, 12:288-298, 2015.
• A. Klami, S. Virtanen and S. Kaski. Bayesian Canonical Correlation Analysis. Journal of Machine Learning Research, 14:965-1003, 2013.