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2020 – today
- 2024
[c15]Jelena Fiosina
, Philipp Sievers, Marco Drache, Sabine Beuermann:
Reverse Engineering of Vinyl Acetate Polymerizations by Genetic Algorithm-Based Multi-Objective Optimization. ECAI 2024: 4711-4718- 2023
- [j3]Jelena Fiosina, Philipp Sievers, Marco Drache, Sabine Beuermann:
Polymer reaction engineering meets explainable machine learning. Comput. Chem. Eng. 177: 108356 (2023) - 2022
- [b1]Jelena Fiosina:
Computationally intensive, distributed and decentralised machine learning: from theory to applications. Clausthal University of Technology, Germany, 2022 - 2021
- [c14]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: 13-22 - [c13]Jelena Fiosina:
Interpretable Privacy-Preserving Collaborative Deep Learning for Taxi Trip Duration Forecasting. SMARTGREENS/VEHITS (Selected Papers) 2021: 392-411 - [c12]Jelena Fiosina:
Explainable Federated Learning for Taxi Travel Time Prediction. VEHITS 2021: 670-677 - 2020
- [j2]Jelena Fiosina, Maksims Fiosins, Stefan Bonn:
Explainable Deep Learning for Augmentation of Small RNA Expression Profiles. J. Comput. Biol. 27(2): 234-247 (2020) - [c11]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: 13534-13538 - [c10]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: 157-168
2010 – 2019
- 2019
- [c9]Jelena Fiosina, Maksims Fiosins, Stefan Bonn:
Deep Learning and Random Forest-Based Augmentation of sRNA Expression Profiles. ISBRA 2019: 159-170 - [i3]Jelena Fiosina, Maksims Fiosins, Stefan Bonn:
Deep Learning and Random Forest-Based Augmentation of sRNA Expression Profiles. CoRR abs/1909.11943 (2019) - [i2]Jelena Fiosina, Maksims Fiosins, Stefan Bonn:
Explainable Deep Learning for Augmentation of sRNA Expression Profiles. CoRR abs/1909.11956 (2019) - [i1]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 abs/1910.04404 (2019) - 2017
- [j1]Jelena Fiosina, Maksims Fiosins:
Distributed Nonparametric and Semiparametric Regression on SPARK for Big Data Forecasting. Appl. Comput. Intell. Soft Comput. 2017: 5134962:1-5134962:13 (2017) - 2013
- [c8]Jelena Fiosina, Maksims Fiosins:
Selecting the Shortest Itinerary in a Cloud-Based Distributed Mobility Network. DCAI 2013: 103-110 - [c7]Jelena Fiosina, Maksims Fiosins:
Density-Based Clustering in Cloud-Oriented Collaborative Multi-Agent Systems. HAIS 2013: 639-648 - [c6]Jelena Fiosina, Maksims Fiosins, Jörg P. Müller:
Decentralised Cooperative Agent-Based Clustering in Intelligent Traffic Clouds. MATES 2013: 59-72 - 2012
- [c5]Jelena Fiosina:
Decentralised Regression Model for Intelligent Forecasting in Multi-agent Traffic Networks. DCAI 2012: 255-263 - 2011
- [c4]Maksims Fiosins, Jelena Fiosina, Jörg P. Müller:
Change Point Analysis for Intelligent Agents in City Traffic. ADMI 2011: 195-210 - [c3]Jelena Fiosina, Maksims Fiosins:
Resampling-Based Change Point Estimation. IDA 2011: 150-161 - [c2]Maksims Fiosins, Jelena Fiosina, Jörg P. Müller, Jana Görmer:
Agent-Based Integrated Decision Making for Autonomous Vehicles in Urban Traffic. PAAMS 2011: 173-178 - [c1]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: 144-151
Coauthor Index
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