Jelena Fiosina

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 12

Top Topics

Microarray Datasets

Differentially Expressed

Top Venues

ARIC@SIGSPATIAL

J. Comput. Biol.

Publications

Jelena Fiosina, Philipp Sievers, Marco Drache, Sabine Beuermann
Polymer reaction engineering meets explainable machine learning. Comput. Chem. Eng. 177 (2023)
Jelena Fiosina
Interpretable Privacy-Preserving Collaborative Deep Learning for Taxi Trip Duration Forecasting. SMARTGREENS/VEHITS (Selected Papers) (2021)
Christian Koetsier, Jelena Fiosina, Jan N. Gremmel, Monika Sester, Jörg P. Müller, David M. Woisetschläger
Federated cooperative detection of anomalous vehicle trajectories at intersections. ARIC@SIGSPATIAL (2021)
Jelena Fiosina
Explainable Federated Learning for Taxi Travel Time Prediction. VEHITS (2021)
Sarit Kraus, Amos Azaria, Jelena Fiosina, Maike Greve, Noam Hazon, Lutz M. Kolbe, Tim-Benjamin Lembcke, Jörg P. Müller, Sören Schleibaum, Mark Vollrath
AI for Explaining Decisions in Multi-Agent Environments. AAAI (2020)
Sören Schleibaum, Maike Greve, Tim-Benjamin Lembcke, Amos Azaria, Jelena Fiosina, Noam Hazon, Lutz M. Kolbe, Sarit Kraus, Jörg P. Müller, Mark Vollrath
How Did You Like This Ride? An Analysis of User Preferences in Ridesharing Assignments. VEHITS (2020)
Jelena Fiosina, Maksims Fiosins, Stefan Bonn
Explainable Deep Learning for Augmentation of Small RNA Expression Profiles. J. Comput. Biol. 27 (2) (2020)
Jelena Fiosina, Maksims Fiosins, Stefan Bonn
Explainable Deep Learning for Augmentation of sRNA Expression Profiles. CoRR (2019)
Jelena Fiosina, Maksims Fiosins, Stefan Bonn
Deep Learning and Random Forest-Based Augmentation of sRNA Expression Profiles. CoRR (2019)
Jelena Fiosina, Maksims Fiosins, Stefan Bonn
Deep Learning and Random Forest-Based Augmentation of sRNA Expression Profiles. ISBRA (2019)
Sarit Kraus, Amos Azaria, Jelena Fiosina, Maike Greve, Noam Hazon, Lutz M. Kolbe, Tim-Benjamin Lembcke, Jörg P. Müller, Sören Schleibaum, Mark Vollrath
AI for Explaining Decisions in Multi-Agent Environments. CoRR (2019)
Jelena Fiosina, Maksims Fiosins
Distributed Nonparametric and Semiparametric Regression on SPARK for Big Data Forecasting. Appl. Comput. Intell. Soft Comput. 2017 (2017)
Jelena Fiosina, Maksims Fiosins
Selecting the Shortest Itinerary in a Cloud-Based Distributed Mobility Network. DCAI (2013)
Jelena Fiosina, Maksims Fiosins
Density-Based Clustering in Cloud-Oriented Collaborative Multi-Agent Systems. HAIS (2013)
Jelena Fiosina, Maksims Fiosins, Jörg P. Müller
Decentralised Cooperative Agent-Based Clustering in Intelligent Traffic Clouds. MATES (2013)
Jelena Fiosina
Decentralised Regression Model for Intelligent Forecasting in Multi-agent Traffic Networks. DCAI (2012)
Maksims Fiosins, Jelena Fiosina, Jörg P. Müller, Jana Görmer
Agent-Based Integrated Decision Making for Autonomous Vehicles in Urban Traffic. PAAMS (2011)
Maksims Fiosins, Jelena Fiosina, Jörg P. Müller
Change Point Analysis for Intelligent Agents in City Traffic. ADMI (2011)
Maksims Fiosins, Jelena Fiosina, Jörg P. Müller, Jana Görmer
Reconciling strategic and tactical decision making in agent-oriented simulation of vehicles in urban traffic. SimuTools (2011)
Jelena Fiosina, Maksims Fiosins
Resampling-Based Change Point Estimation. IDA (2011)