I have authored or co-authored more than 35 peer-reviewed publications in conference proceedings and journals on topics like deep learning, explainable AI, computational statistics, distributed machine learning, big data analysis, and multi-agent decision making.
J. Fiosina, M. Fiosins, and S. Bonn. (2019) Deep learning and random forest-based augmentation of sRNA expression profiles. In Z. Cai, P. Skums, and M. Li, editors, Bioinformatics Research and Applications, pages 159–170, Cham, 2019. Springer International Publishing [Preprint]
J. Fiosina, M. Fiosins, and S. Bonn. (2019) Explainable deep learning for augmentation of sRNA expression profiles. Journal of Computational Biology (to appear), 2019 [Preprint]
S. Kraus, A. Azaria, J. Fiosina, M. Greve, N. Hazon, L. Kolbe, T.Lembcke, J. P. Müller, S. Schleibaum, M. Vollrath. (2020) AI for Explaining Decisions in Multi-Agent Environments, Blue Sky Paper, AAAI 2020 : The Thirty-Fourth AAAI Conference on Artificial Intelligence 2020 (accepted)
J. Fiosina, M. Fiosins (2017). Distributed Nonparametric and Semiparametric Regression on SPARK for Big Data Forecasting. Applied Computational Intelligence and Soft Computing, 2017, 13. [Bib]
Fiosina, J. and Fiosins, M. (2014). Resampling based Modelling of Individual Routing Preferences in a Distributed Traffic Network. International Journal of Artificial Intelligence 12(1), 79-103. [Preprint]