Jelena Fiosina

Dr. habil.

Publications

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. 

 


Latest publications

C. Koetsier, J. Fiosina, J. N. Gremmel, M. Sester, J. P. Müller, and D. Woisetschläger. (2021) Federated cooperative detection of anomalous vehicletrajectories at intersections, In Proc. of 29th ACM Int. Conf. on Advances in Geographic  Information Systems (ACM SIGSPATIAL 2021). ACM, New York, NY, USA, 10 pages (submitted).

J. Fiosina. (2021)  Explainable federated learning for taxi travel time prediction, In Proc. of the7th Int. Conf. on Vehicle Technology and Intelligent Transport Systems - VEHITS 2021, pages 670-677, INSTICC, SciTEPress

S. Schleibaum, M. Greve, T.B. Lembcke, A. Azaria, J. Fiosina, N. Hazon, L. M. Kolbe, S. Kraus, J. P. Müller, M. Vollrath. (2020) How Did You Like This Ride? An Analysis of User Preferences in Ridesharing Assignments, In Proc. of the 6th Int. Conf. on Vehicle Technology and Intelligent Transport Systems, VEHITS 2020, Prague, Czech Republic, May 2-4, 157-168, 2020

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 34th AAAI Conf. on AI, New York, USA, February 7-12,  2020, pages 13534-13538. AAAI Press.

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. (2020) Explainable deep learning for augmentation of sRNA expression profiles. Journal of Computational Biology, 27(2). pages 234-247, 2020

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]

Previous publications

2013, 2012, 2011, 2000-2010