Jelena Fiosina

22 papers A* 1A 1B 1C 2Misc 4Journal 6Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	A	`conf`	Reverse Engineering of Vinyl Acetate Polymerizations by Genetic Algorithm-Based Multi-Objective Optimization. ECAI Jelena Fiosina, Philipp Sievers, Marco Drache, Sabine Beuermann
2023	J	`jnl`	Polymer reaction engineering meets explainable machine learning. Comput. Chem. Eng. Jelena Fiosina, Philipp Sievers, Marco Drache, Sabine Beuermann
2022	—	`—`	Computationally intensive, distributed and decentralised machine learning: from theory to applications Jelena Fiosina
2021	C	`conf`	Explainable Federated Learning for Taxi Travel Time Prediction. VEHITS Jelena Fiosina
2021	—	`conf`	Federated cooperative detection of anomalous vehicle trajectories at intersections. ARIC@SIGSPATIAL Christian Koetsier, Jelena Fiosina, Jan N. Gremmel, Monika Sester, Jörg P. Müller, David M. Woisetschläger
2021	—	`conf`	Interpretable Privacy-Preserving Collaborative Deep Learning for Taxi Trip Duration Forecasting. SMARTGREENS/VEHITS (Selected Papers) Jelena Fiosina
2020	A*	`conf`	AI for Explaining Decisions in Multi-Agent Environments. AAAI Sarit Kraus, Amos Azaria, Jelena Fiosina, Maike Greve, Noam Hazon, Lutz M. Kolbe, Tim-Benjamin Lembcke, Jörg P. Müller, Sören Schleibaum, Mark Vollrath
2020	J	`jnl`	Explainable Deep Learning for Augmentation of Small RNA Expression Profiles. J. Comput. Biol. Jelena Fiosina, Maksims Fiosins, Stefan Bonn
2020	C	`conf`	How Did You Like This Ride? An Analysis of User Preferences in Ridesharing Assignments. VEHITS Sören Schleibaum, Maike Greve, Tim-Benjamin Lembcke, Amos Azaria, Jelena Fiosina, Noam Hazon, Lutz M. Kolbe, Sarit Kraus, Jörg P. Müller, Mark Vollrath
2019	J	`jnl`	AI for Explaining Decisions in Multi-Agent Environments. CoRR Sarit Kraus, Amos Azaria, Jelena Fiosina, Maike Greve, Noam Hazon, Lutz M. Kolbe, Tim-Benjamin Lembcke, Jörg P. Müller, Sören Schleibaum, Mark Vollrath
2019	—	`conf`	Deep Learning and Random Forest-Based Augmentation of sRNA Expression Profiles. ISBRA Jelena Fiosina, Maksims Fiosins, Stefan Bonn
2019	J	`jnl`	Deep Learning and Random Forest-Based Augmentation of sRNA Expression Profiles. CoRR Jelena Fiosina, Maksims Fiosins, Stefan Bonn
2019	J	`jnl`	Explainable Deep Learning for Augmentation of sRNA Expression Profiles. CoRR Jelena Fiosina, Maksims Fiosins, Stefan Bonn
2017	J	`jnl`	Distributed Nonparametric and Semiparametric Regression on SPARK for Big Data Forecasting. Appl. Comput. Intell. Soft Comput. Jelena Fiosina, Maksims Fiosins
2013	—	`conf`	Decentralised Cooperative Agent-Based Clustering in Intelligent Traffic Clouds. MATES Jelena Fiosina, Maksims Fiosins, Jörg P. Müller
2013	Misc	`conf`	Density-Based Clustering in Cloud-Oriented Collaborative Multi-Agent Systems. HAIS Jelena Fiosina, Maksims Fiosins
2013	Misc	`conf`	Selecting the Shortest Itinerary in a Cloud-Based Distributed Mobility Network. DCAI Jelena Fiosina, Maksims Fiosins
2012	Misc	`conf`	Decentralised Regression Model for Intelligent Forecasting in Multi-agent Traffic Networks. DCAI Jelena Fiosina
2011	Misc	`conf`	Agent-Based Integrated Decision Making for Autonomous Vehicles in Urban Traffic. PAAMS Maksims Fiosins, Jelena Fiosina, Jörg P. Müller, Jana Görmer
2011	—	`conf`	Change Point Analysis for Intelligent Agents in City Traffic. ADMI Maksims Fiosins, Jelena Fiosina, Jörg P. Müller
2011	—	`conf`	Reconciling strategic and tactical decision making in agent-oriented simulation of vehicles in urban traffic. SimuTools Maksims Fiosins, Jelena Fiosina, Jörg P. Müller, Jana Görmer
2011	B	`conf`	Resampling-Based Change Point Estimation. IDA Jelena Fiosina, Maksims Fiosins